1.
ＥＢ
Mike Allerhand
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Introduction to R / 1：
Why Command Lines and Scripts? / 1.1：
The R Console / 1.1.1：
Variables / 1.1.2：
Functions / 1.1.3：
Finding Functions and Getting Help / 1.2：
Libraries / 1.2.1：
Packages / 1.2.2：
Finding Functions / 1.2.3：
Getting Help / 1.2.4：
R Projects / 1.3：
Saving Your Session / 1.3.1：
Scripts / 1.3.2：
Data Structures / 2：
Vectors, Matrices, and Arrays / 2.1：
Data Frames and Lists / 2.1.2：
Creating Data / 2.1.3：
Sampling Data / 2.1.4：
Reading Data / 2.1.5：
Operations on Vectors and Matrices / 2.2：
Arithmetic Functions / 2.2.1：
Descriptive Functions / 2.2.2：
Operators and Expressions / 2.2.3：
Factors / 2.3：
Making Factors / 2.3.1：
Operations on Factors / 2.3.2：
Re-ordering and Re-labelling / 2.3.3：
Indexing / 2.4：
Indexing by Name / 2.4.1：
Indexing by Number / 2.4.2：
Inserting and Deleting Rows or Columns / 2.4.3：
Indexing with Factors / 2.4.4：
Conditional Indexing / 2.4.5：
Sorting / 2.4.6：
Reshaping / 2.5：
Stacking and Unstacking? / 2.5.1：
Reshaping: Wide and Long / 2.5.2：
Merging / 2.5.3：
Missing Values / 2.6：
Recoding Missing Values / 2.6.1：
Operations with Missing Values / 2.6.2：
Counting and Sorting Missing Values / 2.6.3：
Handling Missing Values / 2.6.4：
Mapping Functions / 2.7：
Repeated Evaluation / 2.7.1：
Applying Functions / 2.7.2：
Writing Functions / 2.8：
Anonymous Functions / 2.8.1：
Optional Arguments / 2.8.2：
Tables and Graphs / 3：
Tables / 3.1：
Frequency Tables / 3.1.1：
Tables of Cell Means and Other Summaries / 3.1.2：
Saving Tables / 3.1.3：
Graphs / 3.2：
Base Graphics / 3.2.1：
Lattice Graphics / 3.2.2：
Multiple Plot Layout / 3.2.3：
Saving Graphics / 3.2.4：
Hypothesis Tests / 4：
Probability Distributions / 4.1：
How to Run a t test / 4.2：
Linear Models / 5：
Model Formulas / 5.1：
Formula and Data Frame / 5.1.1：
Updating Model Fits / 5.1.2：
General Linear Models / 5.2：
Regression Diagnostics / 5.2.1：
Testing the Regression Coefficients / 5.2.2：
Prediction / 5.2.3：
Stepwise Regression / 5.2.4：
Extracting Information from the Fit Object / 5.2.5：
Residualizing / 5.2.6：
ANOVA / 5.3：
ANOVA Tables / 5.3.1：
Comparisons / 5.3.2：
Learning R / 5.4：
Index
Introduction to R / 1：
Why Command Lines and Scripts? / 1.1：
The R Console / 1.1.1：
2.
ＥＢ
Christian Rockenhäuser
出版情報:
SpringerLink Books - AutoHoldings , Springer Fachmedien Wiesbaden, 2015
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3.
ＥＢ
Serge Linckels, Christoph Meinel
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2011
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Introduction to E-Librarian Services / 1：
From Ancient to Digital Libraries / 1.1：
From Searching to Finding / 1.2：
Searching the Web / 1.2.1：
Searching Multimedia Knowledge Bases / 1.2.2：
Exploratory Search / 1.2.3：
E-Librarian Services / 1.3：
Overview / 1.3.1：
Early Question-Answering Systems / 1.3.2：
Natural Language Interface / 1.3.3：
No Library without a Librarian / 1.3.4：
Characteristics of an E-Librarian Service / 1.3.5：
Overview and Organization of the Book / 1.4：
Key Technologies of E-Librarian Services / Part I：
Semantic Web and Ontologies / 2：
What is the Semantic Web? / 2.1：
The Vision of the Semantic Web / 2.1.1：
Semantic Web vs. Web N.O / 2.1.2：
Three Principles Ruling the Semantic Web / 2.1.3：
Architecture / 2.1.4：
Ontologies / 2.2：
Ontology Structure / 2.2.1：
Upper and Domain Ontologies / 2.2.2：
Linked Data / 2.2.3：
Expressivity of Ontologies / 2.2.4：
XML Extensible Markup Language / 2.3：
XML: Elements, Attributes and Values / 2.3.1：
Namespaces and Qualified Names / 2.3.2：
XML Schema / 2.3.3：
Complete Example / 2.3.4：
Limitations of XML / 2.3.5：
RDF-Resource Description Framework / 2.4：
RDF Triples and Serialization / 2.4.1：
RDF Schema / 2.4.2：
Limitations of RDF / 2.4.3：
Owl 1 and Owl 2 - Web Ontology Language / 2.5：
Instances, Classes and Restrictions in Owl / 2.5.1：
From Owl 1 to Owl 2 / 2.5.2：
Sparql, the Query Language / 2.5.4：
Description Logics and Reasoning / 3：
DL- Description Logics / 3.1：
Concept Descriptions / 3.1.1：
DL Languages / 3.1.2：
Equivalences between OWL and DL / 3.1.3：
DL Knowledge Base / 3.2：
Terminologies (TBox) / 3.2.1：
World Descriptions (ABox) / 3.2.2：
Interpretations / 3.3：
Interpreting Individuals, Concepts, and Roles / 3.3.1：
Modeling the Real World / 3.3.2：
Inferences / 3.4：
Standard Inferences / 3.4.1：
Non-Standard Inferences / 3.4.2：
Natural Language Processing / 4：
Overview and Challenges / 4.1：
Syntax, Semantics and Pragmatics / 4.1.1：
Difficulties of NLP / 4.1.2：
Zipf's law / 4.1.3：
Dealing with Single Words / 4.2：
Tokenization and Tagging / 4.2.1：
Morphology / 4.2.2：
Building Words over an Alphabet / 4.2.3：
Operations over Words / 4.2.4：
Semantic Knowledge Sources / 4.3：
Semantic relations / 4.3.1：
Semantic resources / 4.3.2：
Dealing with Sentences / 4.4：
Phrase Types / 4.4.1：
Phrase Structure / 4.4.2：
Grammar / 4.4.3：
Formal languages / 4.4.4：
Phrase structure ambiguities / 4.4.5：
Alternative parsing techniques / 4.4.6：
Multi-Language / 4.5：
Semantic Interpretation / 4.6：
Information Retrieval / 5：
Retrieval Process / 5.1：
Document Indexation and Weighting / 5.2：
Index of terms / 5.2.1：
Weighting / 5.2.2：
Retrieval Models / 5.3：
Boolean Model / 5.3.1：
Vector Model / 5.3.2：
Probabilistic Model / 5.3.3：
Page Rank / 5.3.4：
Semantic Distance / 5.3.5：
Other Models / 5.3.6：
Retrieval Evaluation / 5.4：
Precision, Recall, and Accuracy / 5.4.1：
Design and Utilization of E-Librarian Services / Part II：
Ontological Approach / 6：
Expert Systems / 6.1：
Classical Expert Systems / 6.1.1：
Ontology-Driven Expert Systems / 6.1.2：
Towards an E-Librarian Service / 6.2：
Reasoning Capabilities of an E-Librarian Service / 6.2.1：
Deploying an Ontology / 6.2.2：
Designing the Ontological Background / 6.2.3：
Semantic Annotation of the Knowledge Base / 6.3：
Computer-Assisted Creation of metadata / 6.3.1：
Automatic Generation of metadata / 6.3.2：
Design of the Natural Language Processing Module / 7：
Overview of the Semantic Interpretation / 7.1：
Logical Form / 7.1.1：
Processing of a User Question / 7.1.2：
NLP Pre-Processing / 7.2：
Domain Language / 7.2.1：
Lemmatization / 7.2.2：
Handling Spelling Errors / 7.2.3：
Ontology Mapping / 7.3：
Domain Dictionary / 7.3.1：
Mapping of Words / 7.3.2：
Resolving Ambiguities / 7.3.3：
Generation of a DL-Concept Description / 7.4：
Without Syntactic Analysis / 7.4.1：
With Syntactic Analysis / 7.4.2：
How much NLP is Sufficient? / 7.4.3：
Optimization and Normal Form / 7.4.4：
General Limitations and Constraints / 7.5：
Role Quantifiers / 7.5.1：
Conjunction and Disjunction / 7.5.2：
Negation / 7.5.3：
Open-Ended and Closed-Ended Questions / 7.5.4：
Formulations / 7.5.5：
Others / 7.5.6：
Multiple-Language Feature / 7.6：
Designing the Multimedia Information Retrieval Module / 8：
Overview of the MIR Module / 8.1：
Knowledge Base and metadata / 8.1.1：
Retrieval Principle / 8.1.2：
The Concept Covering Problem / 8.1.3：
Identifying Covers / 8.2：
Computing the Best Covers / 8.3：
Miss and Rest / 8.3.1：
Size of a Concept Description / 8.3.2：
Best Covers / 8.3.3：
Ranking / 8.4：
Algorithm for the Retrieval Problem / 8.5：
User Feedback / 8.6：
Direct User Feedback / 8.6.1：
Collaborative Tagging and Social Networks / 8.6.2：
Diversification of User Feedback / 8.6.3：
Implementation / 9：
Knowledge Layer / 9.1：
Inference Layer / 9.1.2：
Communication Layer / 9.1.3：
Presentation Layer / 9.1.4：
Development Details / 9.2：
Processing Owl and DL in Java / 9.2.1：
Client Front-End with Ajax Autocompleter / 9.2.2：
The Soap Web Service Interface / 9.2.3：
Applications / Part III：
Best practices / 10：
Computer History Expert System (CHESt) / 10.1：
Description / 10.1.1：
Experiment / 10.1.2：
Mathematics Expert System (MatES) / 10.2：
Benchmark Test / 10.2.1：
The Lecture Butler's E-Librarian Service / 10.2.3：
Benchmark Tests / 10.3.1：
Appendix / Part IV：
XML Schema Primitive Datatypes / A：
Reasoning Algorithms / B：
Structural Subsumption / B.1：
Example 1 / B.2.1：
Example 2 / B.2.2：
Brown Tag Set / C：
Part-of-Speech Taggers and Parsers / D：
POS Taggers / D.1：
Parsers / D.2：
Probabilistic IR Model / E：
Probability Theory / E.1：
References / E.2：
Index
Introduction to E-Librarian Services / 1：
From Ancient to Digital Libraries / 1.1：
From Searching to Finding / 1.2：
4.
ＥＢ
Serge Linckels, Christoph Meinel
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
子書誌情報:
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Introduction to E-Librarian Services / 1：
From Ancient to Digital Libraries / 1.1：
From Searching to Finding / 1.2：
Searching the Web / 1.2.1：
Searching Multimedia Knowledge Bases / 1.2.2：
Exploratory Search / 1.2.3：
E-Librarian Services / 1.3：
Overview / 1.3.1：
Early Question-Answering Systems / 1.3.2：
Natural Language Interface / 1.3.3：
No Library without a Librarian / 1.3.4：
Characteristics of an E-Librarian Service / 1.3.5：
Overview and Organization of the Book / 1.4：
Key Technologies of E-Librarian Services / Part I：
Semantic Web and Ontologies / 2：
What is the Semantic Web? / 2.1：
The Vision of the Semantic Web / 2.1.1：
Semantic Web vs. Web N.O / 2.1.2：
Three Principles Ruling the Semantic Web / 2.1.3：
Architecture / 2.1.4：
Ontologies / 2.2：
Ontology Structure / 2.2.1：
Upper and Domain Ontologies / 2.2.2：
Linked Data / 2.2.3：
Expressivity of Ontologies / 2.2.4：
XML Extensible Markup Language / 2.3：
XML: Elements, Attributes and Values / 2.3.1：
Namespaces and Qualified Names / 2.3.2：
XML Schema / 2.3.3：
Complete Example / 2.3.4：
Limitations of XML / 2.3.5：
RDF-Resource Description Framework / 2.4：
RDF Triples and Serialization / 2.4.1：
RDF Schema / 2.4.2：
Limitations of RDF / 2.4.3：
Owl 1 and Owl 2 - Web Ontology Language / 2.5：
Instances, Classes and Restrictions in Owl / 2.5.1：
From Owl 1 to Owl 2 / 2.5.2：
Sparql, the Query Language / 2.5.4：
Description Logics and Reasoning / 3：
DL- Description Logics / 3.1：
Concept Descriptions / 3.1.1：
DL Languages / 3.1.2：
Equivalences between OWL and DL / 3.1.3：
DL Knowledge Base / 3.2：
Terminologies (TBox) / 3.2.1：
World Descriptions (ABox) / 3.2.2：
Interpretations / 3.3：
Interpreting Individuals, Concepts, and Roles / 3.3.1：
Modeling the Real World / 3.3.2：
Inferences / 3.4：
Standard Inferences / 3.4.1：
Non-Standard Inferences / 3.4.2：
Natural Language Processing / 4：
Overview and Challenges / 4.1：
Syntax, Semantics and Pragmatics / 4.1.1：
Difficulties of NLP / 4.1.2：
Zipf's law / 4.1.3：
Dealing with Single Words / 4.2：
Tokenization and Tagging / 4.2.1：
Morphology / 4.2.2：
Building Words over an Alphabet / 4.2.3：
Operations over Words / 4.2.4：
Semantic Knowledge Sources / 4.3：
Semantic relations / 4.3.1：
Semantic resources / 4.3.2：
Dealing with Sentences / 4.4：
Phrase Types / 4.4.1：
Phrase Structure / 4.4.2：
Grammar / 4.4.3：
Formal languages / 4.4.4：
Phrase structure ambiguities / 4.4.5：
Alternative parsing techniques / 4.4.6：
Multi-Language / 4.5：
Semantic Interpretation / 4.6：
Information Retrieval / 5：
Retrieval Process / 5.1：
Document Indexation and Weighting / 5.2：
Index of terms / 5.2.1：
Weighting / 5.2.2：
Retrieval Models / 5.3：
Boolean Model / 5.3.1：
Vector Model / 5.3.2：
Probabilistic Model / 5.3.3：
Page Rank / 5.3.4：
Semantic Distance / 5.3.5：
Other Models / 5.3.6：
Retrieval Evaluation / 5.4：
Precision, Recall, and Accuracy / 5.4.1：
Design and Utilization of E-Librarian Services / Part II：
Ontological Approach / 6：
Expert Systems / 6.1：
Classical Expert Systems / 6.1.1：
Ontology-Driven Expert Systems / 6.1.2：
Towards an E-Librarian Service / 6.2：
Reasoning Capabilities of an E-Librarian Service / 6.2.1：
Deploying an Ontology / 6.2.2：
Designing the Ontological Background / 6.2.3：
Semantic Annotation of the Knowledge Base / 6.3：
Computer-Assisted Creation of metadata / 6.3.1：
Automatic Generation of metadata / 6.3.2：
Design of the Natural Language Processing Module / 7：
Overview of the Semantic Interpretation / 7.1：
Logical Form / 7.1.1：
Processing of a User Question / 7.1.2：
NLP Pre-Processing / 7.2：
Domain Language / 7.2.1：
Lemmatization / 7.2.2：
Handling Spelling Errors / 7.2.3：
Ontology Mapping / 7.3：
Domain Dictionary / 7.3.1：
Mapping of Words / 7.3.2：
Resolving Ambiguities / 7.3.3：
Generation of a DL-Concept Description / 7.4：
Without Syntactic Analysis / 7.4.1：
With Syntactic Analysis / 7.4.2：
How much NLP is Sufficient? / 7.4.3：
Optimization and Normal Form / 7.4.4：
General Limitations and Constraints / 7.5：
Role Quantifiers / 7.5.1：
Conjunction and Disjunction / 7.5.2：
Negation / 7.5.3：
Open-Ended and Closed-Ended Questions / 7.5.4：
Formulations / 7.5.5：
Others / 7.5.6：
Multiple-Language Feature / 7.6：
Designing the Multimedia Information Retrieval Module / 8：
Overview of the MIR Module / 8.1：
Knowledge Base and metadata / 8.1.1：
Retrieval Principle / 8.1.2：
The Concept Covering Problem / 8.1.3：
Identifying Covers / 8.2：
Computing the Best Covers / 8.3：
Miss and Rest / 8.3.1：
Size of a Concept Description / 8.3.2：
Best Covers / 8.3.3：
Ranking / 8.4：
Algorithm for the Retrieval Problem / 8.5：
User Feedback / 8.6：
Direct User Feedback / 8.6.1：
Collaborative Tagging and Social Networks / 8.6.2：
Diversification of User Feedback / 8.6.3：
Implementation / 9：
Knowledge Layer / 9.1：
Inference Layer / 9.1.2：
Communication Layer / 9.1.3：
Presentation Layer / 9.1.4：
Development Details / 9.2：
Processing Owl and DL in Java / 9.2.1：
Client Front-End with Ajax Autocompleter / 9.2.2：
The Soap Web Service Interface / 9.2.3：
Applications / Part III：
Best practices / 10：
Computer History Expert System (CHESt) / 10.1：
Description / 10.1.1：
Experiment / 10.1.2：
Mathematics Expert System (MatES) / 10.2：
Benchmark Test / 10.2.1：
The Lecture Butler's E-Librarian Service / 10.2.3：
Benchmark Tests / 10.3.1：
Appendix / Part IV：
XML Schema Primitive Datatypes / A：
Reasoning Algorithms / B：
Structural Subsumption / B.1：
Example 1 / B.2.1：
Example 2 / B.2.2：
Brown Tag Set / C：
Part-of-Speech Taggers and Parsers / D：
POS Taggers / D.1：
Parsers / D.2：
Probabilistic IR Model / E：
Probability Theory / E.1：
References / E.2：
Index
Introduction to E-Librarian Services / 1：
From Ancient to Digital Libraries / 1.1：
From Searching to Finding / 1.2：
5.
ＥＢ
Christian M. Reidys
出版情報:
SpringerLink Books - AutoHoldings , Springer New York, 2011
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Introduction / 1：
RNA secondary structures / 1.1：
RNA pseudoknot structures / 1.2：
Sequence to structure maps / 1.3：
Folding / 1.4：
RNA tertiary interactions: a combinatorial perspective / 1.5：
Basic concepts / 2：
k-Noncrossing partial matchings / 2.1：
Young tableaux, RSK algorithm, and Weyl chambers / 2.1.1：
The Weyl group / 2.1.2：
From tableaux to paths and back / 2.1.3：
The generating function via the reflection principle / 2.1.4：
D-finiteness / 2.1.5：
Symbolic enumeration / 2.2：
Singularity analysis / 2.3：
Transfer theorems / 2.3.1：
The supercritical paradigm / 2.3.2：
Some ODEs / 2.4：
n-Cubes / 2.4.2：
Some basic facts / 2.5.1：
Random subgraphs of the n-cube / 2.5.2：
Vertex boundaries / 2.5.3：
Branching processes and Janson's inequality / 2.5.4：
Exercises / 2.6：
Tangled diagrams / 3：
Tangled diagrams and vacillating tableaux / 3.1：
The bijection / 3.2：
Enumeration / 3.3：
Combinatorial analysis / 4：
Cores and Shapes / 4.1：
Cores / 4.1.1：
Shapes / 4.1.2：
Generating functions / 4.2：
The GF of cores / 4.2.1：
The GF of k-noncrossing, ?-canonical structures / 4.2.2：
Asymptotics / 4.3：
k-Noncrossing structures / 4.3.1：
Canonical structures / 4.3.2：
Modular k-noncrossing structures / 4.4：
Colored shapes / 4.4.1：
The main theorem / 4.4.2：
Probabilistic Analysis / 4.5：
Uniform generation / 5.1：
Partial matchings / 5.1.1：
Central limit theorems / 5.1.2：
The central limit theorem / 5.2.1：
Arcs and stacks / 5.2.2：
Hairpin loops, interior loops, and bulges / 5.2.3：
Discrete limit laws / 5.3：
Irreducible substructures / 5.3.1：
The limit distribution of nontrivial returns / 5.3.2：
DP folding based on loop energies / 5.4：
Secondary structures / 6.1.1：
Pseudoknot structures / 6.1.2：
Combinatorial folding / 6.2：
Motifs / 6.2.1：
Skeleta / 6.2.3：
Saturation / 6.2.4：
Neutral networks / 7：
Neutral networks as random graphs / 7.1：
The giant / 7.2：
Cells / 7.2.1：
The number of vertices contained in cells / 7.2.2：
The largest component / 7.2.3：
Neutral paths / 7.3：
Connectivity / 7.4：
References / 7.5：
Index
Introduction / 1：
RNA secondary structures / 1.1：
RNA pseudoknot structures / 1.2：
6.
図書
Alexander Mamishev, Sean Williams
出版情報:
Hoboken, N.J. : John Wiley & Sons, c2010 xvii, 243 p. ; 24 cm.
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Preface
Acknowledgments
Introduction / Chapter 1：
In this Chapter / 1.1：
Our Audience / 1.2：
A few horror stories / 1.2.1：
Some history / 1.2.2：
The Need For a Good "Writing System" / 1.3：
Introducing Stream Tools / 1.4：
What is STREAM Tools? / 1.4.1：
Why use STREAM Tools? / 1.4.2：
The software of STREAM Tools / 1.4.3：
Recommended packages / 1.4.3.1：
A brief comparison of Microsoft Word vs. LaTeX: history and myths / 1.4.3.2：
How to Use this Book / 1.5：
Exercises / 1.6：
Quick Start Guide For Stream Tools / Chapter 2：
A General Overview of the Writing Process / 2.1：
Introduction to Writing Quality Tools: The Stream Tools Editorial Mark-Up Table / 2.3：
Introduction to Document Design Tools / 2.4：
Important fundamental concepts / 2.4.1：
Step 1: Use template files to create your new manuscripts / 2.4.1.1：
Step 2: Copy existing elements and paste them into a new location / 2.4.1.2：
Step 3: Edit the element / 2.4.1.3：
Step 4: Cross-referencing elements / 2.4.1.4：
Creating Elements in a Document / 2.4.2：
Headings / 2.4.2.1：
Equations / 2.4.2.2：
Figures / 2.4.2.3：
Tables / 2.4.2.4：
References (literature citations) / 2.4.2.5：
Introduction to File Management: Optimizing Your Workflow / 2.5：
General principles / 2.5.1：
Using a wiki for file management / 2.5.2：
Version control / 2.5.3：
Conclusions / 2.6：
Document Design / 2.7：
Creating Templates / 3.1：
How to create and cross-reference a heading template / 3.2.1：
How to alter a heading template / 3.2.1.2：
Common formatting mistakes in headings / 3.2.1.3：
Common stylistic mistakes for headings / 3.2.1.4：
Tips and tricks / 3.2.1.5：
How to create and cross-reference an equation template / 3.2.2：
How to alter an equation template / 3.2.2.2：
Common formatting mistakes for equations / 3.2.2.3：
Common stylistic mistakes for equations / 3.2.2.4：
How to create and cross-reference a figure template / 3.2.2.5：
How to alter a figure template / 3.2.3.2：
Common formatting mistakes in figures / 3.2.3.3：
Common stylistic mistakes in figures / 3.2.3.4：
Tips and tricks for figures / 3.2.3.5：
How to create and cross-reference a table template / 3.2.4：
How to alter a table template / 3.2.4.2：
Common typesetting mistakes / 3.2.4.3：
Common stylistic mistakes in tables / 3.2.4.4：
Tips and tricks for tables / 3.2.4.5：
Front matter / 3.2.5：
Controlling page numbers / 3.2.5.1：
Table of contents / 3.2.5.2：
Back matter / 3.2.6：
Appendices / 3.2.6.1：
Indices / 3.2.6.2：
Using Multiple Templates / 3.3：
Controlling styles / 3.3.1：
Switching between single-column and double-column formats / 3.3.2：
Master documents / 3.3.3：
Practice Problems / 3.4：
Additional Resources / 3.4.1：
Using Bibliographic Databases / 3.6：
Why Use a Bibliographic Database? / 4.1：
Choice of Software / 4.3：
Using Endnote / 4.4：
Setting up the interface / 4.4.1：
Adding references / 4.4.2：
Citing references / 4.4.3：
Sharing a Database / 4.5：
Numbering the database entries / 4.5.1：
Compatibility with BiBTeX / 4.5.2：
Formatting References / 4.6：
Planning, Drafting, and Editing Documents / 4.7：
Definition Stage / 5.1：
Select your team members / 5.2.1：
Hold a kick-off meeting / 5.2.2：
Analyze the audience / 5.2.3：
Formulate the purpose / 5.2.4：
Persuasion / 5.2.4.1：
Exposition / 5.2.4.2：
Instruction / 5.2.4.3：
Select the optimum combination of STREAM Tools / 5.2.5：
Preparation Stage / 5.3：
Evaluate historical documents / 5.3.1：
Journal articles / 5.3.1.1：
Proceedings/papers / 5.3.1.2：
Theses and dissertations / 5.3.1.3：
Proposals / 5.3.1.4：
Reports / 5.3.1.5：
Populate the file repository / 5.3.2：
Create a comprehensive outline of the document / 5.3.3：
Using deductive structures / 5.3.3.1：
Using Microsoft Word's Outline feature / 5.3.3.2：
Populate all sections with "yellow text" / 5.3.4：
Distribute writing tasks among team members / 5.3.5：
Choose a drafting strategy / 5.3.5.1：
Synchronize writing styles / 5.3.5.2：
Writing Stage / 5.4：
Enter content / 5.4.1：
Legacy content / 5.4.1.1：
New content / 5.4.1.2：
Control versions of shared files / 5.4.1.3：
Request that team members submit their drafts / 5.4.2：
Verify that each section is headed in the right direction / 5.4.3：
Construct the whole document / 5.4.4：
Revise for content and distribute additional writing tasks / 5.4.5：
Comprehensive editing / 5.4.5.1：
STREAM Tools Editorial Mark-up table (STEM Table) / 5.4.5.2：
Strategies for editing electronic copy using Microsoft Word--an overview of Microsoft Word's commenting, reviewing, and proofing features / 5.4.5.3：
Distribute additional writing tasks / 5.4.6：
Completion Stage / 5.5：
Copy edit the document / 5.5.1：
Send out for a final review of content and clarity / 5.5.2：
Proofread the document / 5.5.3：
Submit the document / 5.5.4：
Conduct the final process-improvement review session / 5.5.5：
Building High Quality Writing Teams / 5.6：
Understanding the Benefits and Challenges of Teamwork / 6.1：
The payoff of teamwork / 6.2.1：
Some principle challenges of teamwork / 6.2.2：
Identifying Team Goals and Assigning Member Roles / 6.3：
Define roles and procedures clearly / 6.3.1：
Define team roles / 6.3.1.1：
Define team procedures / 6.3.1.2：
Managing Teamwork at a Distance / 6.4：
Building trust in virtual teams / 6.4.1：
Demonstrating sensitivity to cultural differences / 6.4.2：
Selecting Communication Tools To Support Teamwork / 6.5：
Wikis / 6.5.1：
Creating a wiki / 6.5.1.1：
Editing / 6.5.1.2：
Organizing / 6.5.1.3：
Monitoring edits / 6.5.1.4：
Other suggestions for wiki use / 6.5.1.5：
SharePoint / 6.5.2：
Lists / 6.5.2.1：
Web pages / 6.5.2.2：
Alerts and site management / 6.5.2.3：
Assuring Quality Writing / 6.6：
Choosing the Best Words 278 / 7.1：
Choose strong words / 7.2.1：
Use strong nouns and verbs / 7.2.1.1：
Choose words with the right level of formality / 7.2.1.2：
Avoid weak words / 7.2.2：
Check for confusing or frequently misused words / 7.2.2.1：
Avoid double negatives, and change negatives to affirmatives / 7.2.2.2：
Avoid changing verbs to nouns / 7.2.2.3：
Delete meaningless words and modifiers / 7.2.2.4：
Steer clear of jargon / 7.2.2.5：
Avoid sexist or discriminatory language / 7.2.2.6：
Writing Strong Sentences / 7.3：
Write economically / 7.3.1：
Include a variety of sentence types / 7.3.2：
Avoiding Weak Sentence Construction / 7.4：
Comma splices / 7.4.1.1：
Fragments / 7.4.1.2：
Fused or run-on sentences / 7.4.1.3：
Misplaced, dangling, or two-way modifiers / 7.4.1.4：
Faulty parallelism / 7.4.1.5：
Punctuating For Clarity / 7.5：
End punctuation / 7.5.1：
Periods / 7.5.1.1：
Question marks / 7.5.1.2：
Exclamation points / 7.5.1.3：
Commas / 7.5.2：
Semicolons / 7.5.3：
Colons / 7.5.4：
Apostrophes / 7.5.5：
Dashes and hyphens / 7.5.6：
Final Considerations / 7.6：
Abbreviations and acronyms / 7.6.1：
Capitalization / 7.6.2：
Numbers / 7.6.3：
Dates / 7.6.4：
Fractions and percentages / 7.6.5：
Units of measure / 7.6.6：
A Final Note on Grammar / 7.7：
Concluding Remarks / 7.8：
Business Case / 8.1：
Frequently Asked Questions / 8.3：
Success Stories / 8.4：
Additional Reading / 8.5：
Useful books and articles / 8.5.1：
Useful weblinks / 8.5.2：
EXERCISES / 8.6：
Preface
Acknowledgments
Introduction / Chapter 1：
7.
図書
Ulrich Schubert, Nicola Hüsing
出版情報:
Weinheim : Wiley-VCH, c2019 xviii, 404 p. ; 25 cm
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Preface
Acknowledgements
Abbreviations
Introduction / 1：
Solid-State Reactions / 2：
Reactions Between Solid Compounds / 2.1：
Ceramic Method / 2.1.1：
General Aspects of Solid-State Reactions / 2.1.1.1：
Facilitating Solid-State Reactions / 2.1.1.2：
Mechanochemical Synthesis / 2.1.2：
Carbothermal Reduction / 2.1.3：
Combustion Synthesis / 2.1.4：
Solution Combustion Synthesis / 2.1.4.1：
Solid-Gas Reactions / 2.2：
Ceramics Processing / 2.3：
Sintering / 2.3.1：
Intercalation Reactions / 2.4：
Mechanistic Aspects / 2.4.1：
Preparative Methods / 2.4.2：
Intercalation of Polymers in Layered Systems / 2.4.3：
Pillaring of Layered Compounds / 2.4.4：
Further Reading
Formation of Solids from the Gas Phase / 3：
Chemical Vapour Transport / 3.1：
Halogen Lamps / 3.1.1：
Transport Reactions / 3.1.2：
Chemical Vapour Deposition / 3.2：
General Aspects / 3.2.1：
Techniques / 3.2.2：
Metal CVD / 3.2.3：
Silicon and Aluminium / 3.2.3.1：
Tungsten / 3.2.3.2：
Copper / 3.2.3.3：
CVD of Carbon / 3.2.4：
CVD of Binary and Multinary Compounds / 3.2.5：
Metal Oxides / 3.2.5.1：
Metal Nitrides / 3.2.5.2：
Metal Chalcogenides and Pnictides / 3.2.5.3：
Aerosol-Assisted CVD / 3.2.6：
Chemical Vapour Infiltration / 3.2.7：
Gas-Phase Powder Syntheses / 3.3：
Formation of Solids from Solutions and Melts / 4：
Glass / 4.1：
The Structural Theory of Glass Formation / 4.1.1：
Crystallization Versus Glass Formation / 4.1.2：
Glass Melting / 4.1.3：
Phase Separation / 4.1.4：
Metallic Glasses / 4.1.5：
Crystallization from Solution / 4.2：
Monodispersity / 4.2.1：
Shape Control of Crystals / 4.2.2：
Non-classical Crystallization / 4.2.3：
Biomineralization / 4.2.4：
Biogenic Materials / 4.2.4.1：
Bioinspired Materials Chemistry / 4.2.4.2：
Electrodeposition / 4.3：
Colloids / 4.3.1：
Electrodeposition of Ceramics / 4.3.2：
Solvothermal Processes / 4.4：
Fundamentals / 4.4.1：
Growing Single Crystals / 4.4.2：
Solvothermal Synthesis / 4.4.3：
Synthetic Calcium Phosphate Biomaterials / 4.4.3.1：
Zeolites / 4.4.3.3：
Sol-Gel Processes / 4.5：
The Chemistry of Alkoxide Precursors / 4.5.1：
Hydrolysis and Condensation / 4.5.2：
Silica-Based Materials / 4.5.2.1：
Metal Oxide-Based Materials / 4.5.2.2：
The Sol-Gel Transition (Gelation) / 4.5.3：
Aging and Drying / 4.5.4：
Nonhydrolytic Sol-Gel Processes / 4.5.5：
Inorganic-Organic Hybrid Materials / 4.5.6：
Aerogels / 4.5.7：
Preparation and Modification of Inorganic Polymers / 5：
Synthesis and Crosslinking / 5.1：
Copolymers / 5.1.2：
Polysiloxanes (Silicones) / 5.2：
Properties and Applications / 5.2.1：
Structure / 5.2.2：
Preparation / 5.2.3：
Curing ('Vulcanizing') / 5.2.4：
Polyphosphazenes / 5.3：
Preparation and Modification / 5.3.1：
Polysilanes / 5.4：
Polycarbosilanes / 5.4.1：
Polysilazanes and Related Polymers / 5.6：
Polymers with B-N Backbones / 5.7：
Other Inorganic Polymers / 5.8：
Other Phosphorus-Containing Polymers / 5.8.1：
Polymers with S-N Backbones / 5.8.2：
Metallopolymers / 5.8.3：
Polymer-to-Ceramic Transformation / 5.9：
Self-Assembly / 6：
Self-Assembled Monolayers / 6.1：
Metal-Organic Frameworks / 6.2：
Modularity of the Structures / 6.2.1：
Synthesis and Modification / 6.2.2：
Supramolecular Arrangements of Surfactants and Block Copolymers / 6.3：
Layer-by-Layer Assembly / 6.4：
Templating / 7：
Introduction to Porosity and High Surface Area Materials / 7.1：
Infiltration and Coating of Templates / 7.2：
Replica Technique / 7.2.1：
Sacrificial Templates / 7.2.2：
Colloidal Crystals / 7.2.2.1：
Hollow Particles / 7.2.2.2：
Direct Foaming / 7.2.3：
Nanocasting / 7.2.4：
In Situ Formation of Templates / 7.3：
Breath Figures / 7.3.1：
Freeze Casting / 7.3.2：
Supramolecular Assemblies of Amphiphiles / 7.3.3：
Synthesis of Periodic Mesoporous Silicas / 7.3.3.1：
Evaporation-Induced Self-Assembly / 7.3.3.2：
Incorporation of Organic Groups / 7.3.3.3：
Reorganization and Transformation Processes / 7.4：
Pseudomorphic Transformation / 7.4.1：
Kirkendall Effect / 7.4.2：
Galvanic Replacement / 7.4.3：
Phase Separation and Leaching / 7.4.4：
Nanomaterials / 8：
Properties of Nanomaterials / 8.1：
Properties Due to Surface Effects / 8.1.1：
Properties of Nanocrystalline Materials / 8.1.2：
Catalytic Properties / 8.1.3：
Optical Properties / 8.1.4：
Electrical Properties / 8.1.5：
Magnetic Properties / 8.1.6：
Syntheses of Nanoparticles / 8.2：
Severe Plastic Deformation / 8.2.1：
Formation from Vapours / 8.2.2：
Formation from Solution / 8.2.3：
Surface Modification with Organic Groups / 8.2.4：
One-Dimensional Nanostructures / 8.3：
Nanowires and Nanorods / 8.3.1：
Nanotubes / 8.3.2：
Carbon Nanotubes / 8.3.2.1：
Titania Nanotubes / 8.3.2.2：
Two-Dimensional Nanomaterials / 8.4：
Graphene / 8.4.1：
Other 2D Nanomaterials / 8.4.2：
Heterostructures and Composites / 8.5：
Core-Shell Nanoparticles / 8.5.1：
Vertical 2D Heterostructures / 8.5.2：
Polymer-Matrix Nanocomposites / 8.5.3：
Supported Metal Nanoparticles / 8.5.4：
Glossary
Index
Preface
Acknowledgements
Abbreviations
8.
ＥＢ
Slav Petrov, Eugene Charniak
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2012
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Introduction / 1：
Coarse-to-Fine Models / 1.1：
Coarse-to-Fine Inference / 1.2：
Latent Variable Grammars for Natural Language Parsing / 2：
Experimental Setup / 2.1：
Manual Grammar Refinement / 2.2：
Vertical and Horizontal Markovization / 2.2.1：
Additional Linguistic Refinements / 2.2.2：
Generative Latent Variable Grammars / 2.3：
Hierarchical Estimation / 2.3.1：
Adaptive Refinement / 2.3.2：
Smoothing / 2.3.3：
An Infinite Alternative / 2.3.4：
Inference / 2.4：
Hierarchical Coarse-to-Fine Pruning / 2.4.1：
Objective Functions for Parsing / 2.4.2：
Additional Experiments / 2.5：
Baseline Grammar Variation / 2.5.1：
Final Results WSJ / 2.5.3：
Multilingual Parsing / 2.5.4：
Corpus Variation / 2.5.5：
Training Size Variation / 2.5.6：
Analysis / 2.6：
Lexical Subcategories / 2.6.1：
Phrasal Subcategories / 2.6.2：
Multilingual Analysis / 2.6.3：
Summary and Future Work / 2.7：
Discriminative Latent Variable Grammars / 3：
Log-Linear Latent Variable Grammars / 3.1：
Single-Scale Discriminative Grammars / 3.3：
Efficient Discriminative Estimation / 3.3.1：
Experiments / 3.3.2：
Multi-scale Discriminative Grammars / 3.4：
Hierarchical Refinement / 3.4.1：
Learning Sparse Multi-scale Grammars / 3.4.2：
Additional Features / 3.4.3：
Structured Acoustic Models for Speech Recognition / 3.4.4：
Learning / 4.1：
The Hand-Aligned Case / 4.2.1：
Splitting / 4.2.2：
Merging / 4.2.3：
The Automatically-Aligned Case / 4.2.4：
Phone Recognition / 4.3：
Phone Classification / 4.4.2：
Coarse-to-Fine Machine Translation Decoding / 4.5：
Coarse-to-Fine Decoding / 5.1：
Related Work / 5.2.1：
Language Model Projections / 5.2.2：
Multipass Decoding / 5.2.3：
Inversion Transduction Grammars / 5.3：
Learning Coarse Languages / 5.4：
Random Projections / 5.4.1：
Frequency Clustering / 5.4.2：
HMM Clustering / 5.4.3：
JCluster / 5.4.4：
Clustering Results / 5.4.5：
Clustering / 5.5：
Spacing / 5.5.2：
Encoding Versus Order / 5.5.3：
Final Results / 5.5.4：
Search Error Analysis / 5.5.5：
Conclusions and Future Work / 5.6：
References
Introduction / 1：
Coarse-to-Fine Models / 1.1：
Coarse-to-Fine Inference / 1.2：
9.
ＥＢ
Kazuhiko Aomoto, Michitake Kita, Toshitake Kohno, Kenji Iohara
出版情報:
SpringerLink Books - AutoHoldings , Springer Japan, 2011
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Introduction: the Euler-Gauss Hypergeometric Function / 1：
?-Function / 1.1：
Infinite-Product Representation Due to Euler / 1.1.1：
?-Function as Meromorphic Function / 1.1.2：
Connection Formula / 1.1.3：
Power Series and Higher Logarithmic Expansion / 1.2：
Hypergeometric Series / 1.2.1：
Gauss' Differential Equation / 1.2.2：
First-Order Fuchsian Equation / 1.2.3：
Logarithmic Connection / 1.2.4：
Higher Logarithmic Expansion / 1.2.5：
D-Module / 1.2.6：
Integral Representation Due to Euler and Riemann / 1.3：
Kummer's Method / 1.3.1：
Gauss' Contiguous Relations and Continued Fraction Expansion / 1.4：
Gauss' Contiguous Relation / 1.4.1：
Continued Fraction Expansion / 1.4.2：
Convergence / 1.4.3：
The Mellin-Barnes Integral / 1.5：
Summation over a Lattice / 1.5.1：
Barnes' Integral Representation / 1.5.2：
Mellin's Differential Equation / 1.5.3：
Plan from Chapter 2 / 1.6：
Representation of Complex Integrals and Twisted de Rham Cohomologies / 2：
Formulation of the Problem and Intuitive Explanation of the Twisted de Rham Theory / 2.1：
Concept of Twist / 2.1.1：
Intuitive Explanation / 2.1.2：
One-Dimensional Case / 2.1.3：
Two-Dimensional Case / 2.1.4：
Higher-Dimensional Generalization / 2.1.5：
Twisted Homology Group / 2.1.6：
Locally Finite Twisted Homology Group / 2.1.7：
Review of the de Rham Theory and the Twisted de Rham Theory / 2.2：
Preliminary from Homological Algebra / 2.2.1：
Current / 2.2.2：
Current with Compact Support / 2.2.3：
Sheaf Cohomology / 2.2.4：
The Case of Compact Support / 2.2.5：
De Rham's Theorem / 2.2.6：
Duality / 2.2.7：
Integration over a Simplex / 2.2.8：
Twisted Chain / 2.2.9：
Twisted Version of § 2.2.4 / 2.2.10：
Poincaré Duality / 2.2.11：
Reformulation / 2.2.12：
Comparison of Cohomologies / 2.2.13：
Computation of the Euler Characteristic / 2.2.14：
Construction of Twisted Cycles (1): One-Dimensional Case / 2.3：
Twisted Cycle Around One Point / 2.3.1：
Construction of Twisted Cycles / 2.3.2：
Intersection Number (i) / 2.3.3：
Comparison Theorem / 2.4：
Algebraic de Rham Complex / 2.4.1：
Cech Cohomology / 2.4.2：
Hypercohomology / 2.4.3：
Spectral Sequence / 2.4.4：
Algebraic de Rham Cohomology / 2.4.5：
Analytic de Rham Cohomology / 2.4.6：
de Rham-Saito Lemma and Representation of Logarithmic Differential Forms / 2.4.7：
Logarithmic Differential Forms / 2.5.1：
de Rham-Saito Lemma / 2.5.2：
Representation of Logarithmic Differential Forms (i) / 2.5.3：
Vanishing of Twisted Cohomology for Homogeneous Case / 2.6：
Basic Operators / 2.6.1：
Homotopy Formula / 2.6.2：
Eigenspace Decomposition / 2.6.3：
Vanishing Theorem (i) / 2.6.4：
Filtration of Logarithmic Complex / 2.7：
Filtration / 2.7.1：
Comparison with Homogeneous Case / 2.7.2：
Isomorphism / 2.7.3：
Vanishing Theorem of the Twisted Rational de Rham Cohomology / 2.8：
Vanishing of Logarithmic de Rham Cohomology / 2.8.1：
Vanishing of Algebraic de Rham Cohomology / 2.8.2：
Example / 2.8.3：
Arrangement of Hyperplanes in General Position / 2.9：
Vanishing Theorem (ii) / 2.9.1：
Representation of Logarithmic Differential Forms (ii) / 2.9.2：
Reduction of Poles / 2.9.3：
Basis of Cohomology / 2.9.4：
Arrangement of Hyperplanes and Hypergeometric Functions over Grassmannians / 3：
Classical Hypergeometric Series and Their Generalizations, in Particular, Hypergeometric Series of Type (n + 1, m + 1) / 3.1：
Definition / 3.1.1：
Simple Examples / 3.1.2：
Hypergeometric Series of Type (n + 1, m + 1) / 3.1.3：
Appell-Lauricella Hypergeometric Functions (i) / 3.1.4：
Appell-Lauricella Hypergeometric Functions (ii) / 3.1.5：
Restriction to a Sublattice / 3.1.6：
Examples / 3.1.7：
Appell-Lauricella Hypergeometric Functions (iii) / 3.1.8：
Horn's Hypergeometric Functions / 3.1.9：
Construction of Twisted Cycles (2): For an Arrangement of Hyperplanes in General Positiion / 3.2：
Bounded Chambers / 3.2.1：
Basis of Locally Finite Homology / 3.2.3：
Regularization of Integrals / 3.2.4：
Kummer's Method for Integral Representations and Its Modernization via the Twisted de Rham Theory: Integral Representations of Hypergeometric Series of Type (n + 1, m +1) / 3.3：
Higher-Dimensional Case / 3.3.1：
Elementary Integral Representations / 3.3.4：
Hypergeometric Function of Type (3,6) / 3.3.5：
Hypergeometric Functions of Type (n + 1, m + 1) / 3.3.6：
Horn's Cases / 3.3.7：
System of Hypergeometric Differential Equations E(n + 1, m + 1; ?) / 3.4：
Hypergeometric Integral of Type (n + 1, m + 1; ?) / 3.4.1：
Differential Equation E(n + 1, m + 1; ?) / 3.4.2：
Equivalent System / 3.4.3：
Integral Solutions of E(n + 1, m + 1; ?) and Wronskian / 3.5：
Hypergeometric Integrals as a Basis / 3.5.1：
Gauss' Equation E'(2, 4; ?') / 3.5.2：
Appell-Lauricella Hypergeometric Differential Equation E'(2, m + 1; ?') / 3.5.3：
Equation E'(3.6; ?') / 3.5.4：
Equation E'(4, 8; ?') / 3.5.5：
General Cases / 3.5.6：
Wronskian / 3.5.7：
Varchenko's Formula / 3.5.8：
Intersection Number (ii) / 3.5.9：
Twisted Riemann's Period Relations and Quadratic Relations of Hypergeometric Functions / 3.5.10：
Determination of the Rank of E(n + 1, m + 1; ?) / 3.6：
Equation E'(n + 1, m + 1; ?') / 3.6.1：
Equation E'(2,4; ?') / 3.6.2：
Equation E'(2, m + 1; ?') / 3.6.3：
Equation E'(3, 6; ?') / 3.6.4：
Duality of E(n + 1, m + 1; ?) / 3.6.5：
Duality of Equations / 3.7.1：
Duality of Grassmannians / 3.7.2：
Duality of Hypergeometric Functions / 3.7.3：
Duality of Integral Representations / 3.7.4：
Logarithmic Gauss-Manin Connection Associated to an Arrangement of Hyperplanes in General Position / 3.7.5：
Review of Notation / 3.8.1：
Variational Formula / 3.8.2：
Partial Fraction Expansion / 3.8.3：
Logarithmic Gauss-Manin Connection / 3.8.4：
Holonomic Difference Equations and Asymptotic Expansion / 4：
Existence Theorem Due to G.D. Birkhoff and Infinite- Product Representation of Matrices / 4.1：
Normal Form of Matrix-Valued Function / 4.1.1：
Asymptotic Form of Solutions / 4.1.2：
Existence Theorem (i) / 4.1.3：
Infinite-Product Representation of Matrices / 4.1.4：
Gauss' Decomposition / 4.1.5：
Regularization of the Product / 4.1.6：
Convergence of the First Column / 4.1.7：
Asymptotic Estimate of Infinite Product / 4.1.8：
Convergence of Lower Triangular Matrices / 4.1.9：
Asymptotic Estimate of Lower Triangular Matrices / 4.1.10：
Difference Equation Satisfied by Upper Triangular Matrices / 4.1.11：
Resolution of Difference Equations / 4.1.12：
Completion of the Proof / 4.1.13：
Holonomic Difference Equations in Several Variables and Asymptotic Expansion / 4.2：
Holonomic Difference Equations of First Order / 4.2.1：
Formal Asymptotic Expansion / 4.2.2：
Normal Form of Asymptotic Expansion / 4.2.3：
Existence Theorem (ii) / 4.2.4：
Connection Problem / 4.2.5：
Remark on 1-Cocyles / 4.2.6：
Gauss' Contiguous Relations / 4.2.8：
Saddle Point Method and Asymptotic Expansion / 4.2.9：
Contracting (Expanding) Twisted Cycles and Asymptotic Expansion / 4.3：
Twisted Cohomology / 4.3.1：
Saddle Point Method for Multi-Dimensional Case / 4.3.2：
Complete Kähler Metric / 4.3.3：
Gradient Vector Field / 4.3.4：
Critical Points / 4.3.5：
Vanishing Theorem (iii) / 4.3.6：
Application of the Morse Theory / 4.3.7：
n-Dimensional Lagrangian Cycles / 4.3.8：
n-Dimensional Twisted Cycles / 4.3.9：
Geometric Meaning of Asymptotic Expansion / 4.3.10：
Difference Equations Satisfied by the Hypergeometric Functions of Type (n + l, m +1; ?) / 4.4：
Derivation of Difference Equations / 4.4.1：
Asymptotic Expansion with a Fixed Direction / 4.4.3：
Non-Degeneracy of Period Matrix / 4.4.4：
Connection Problem of System of Difference Equations / 4.5：
Formulation / 4.5.1：
The Case of Appell-Lauricella Hypergeometric Functions / 4.5.2：
Mellin's Generalized Hypergeometric Functions / A：
Toric Multinomial Theorem / A.1：
Differential Equations of Mellin Type / A.4：
b-Functions / A.6：
Action of Algebraic Torus / A.7：
Vector Fields of Torus Action / A.8：
Lattice Defined by the Characters / A.9：
G-G-Z Equation / A.10：
The Selberg Integral and Hypergeometric Function of BC Type / A.11：
Selberg's Integral / B.1：
Generalization to Correlation Functions / B.2：
Monodromy Representation of Hypergeometric Functions of Type (2, m + 1; ?) / C：
Isotopic Deformation and Monodromy / C.1：
KZ Equation (Toshitake Kohno) / D：
Knizhnik-Zamolodchikov Equation / D.1：
Review of Conformal Field Theory / D.2：
Connection Matrices of KZ Equation / D.3：
Iwahori-Hecke Algebra and Quasi-Hopf Algebras / D.4：
Kontsevich Integral and Its Application / D.5：
Integral Representation of Solutions of the KZ Equation / D.6：
References
Index
Introduction: the Euler-Gauss Hypergeometric Function / 1：
?-Function / 1.1：
Infinite-Product Representation Due to Euler / 1.1.1：
10.
ＥＢ
Dieter Fensel, Federico Michele Facca, Elena Simperl, Ioan Toma
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2011
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Scientific and Technological Foundations of Semantic Web Services / Part I：
Introduction / 1：
Web Science / 2：
Motivation / 2.1：
Technical Solution / 2.2：
History of the Web / 2.2.1：
Building the Web / 2.2.2：
Web in Society / 2.2.3：
Operationalizing the Web Science for a World of International Commerce / 2.2.4：
Analyzing the Web / 2.2.5：
Web 2.0 / 2.3：
Conclusions / 2.4：
References
Service Science / 3：
What Is a Service? / 3.1：
Service Analysis, Design, Development and Testing / 3.3：
Service Orchestration, Composition and Delivery / 3.4：
Service Innovation / 3.5：
Service Design Approach / 3.6：
Service Pricing Method and Economics / 3.7：
Service Quality Measurement / 3.8：
Service Technologies / 3.9：
Service Application / 3.10：
Web Services / 3.11：
Service Oriented Computing (SOC) / 4.1：
Service Oriented Architecture (SOA) / 4.1.2：
Defining Web Services / 4.2：
Web Service Technologies / 4.2.2：
Illustration by a Larger Example / 4.3：
Summary / 4.4：
Exercises / 4.5：
Web2.0 and RESTful Services / 5：
REST / 5.1：
Describing RESTful Services / 5.2.2：
Data Exchange for RESTful Services / 5.2.3：
AJAX APIs / 5.2.4：
Examples of RESTful Services / 5.2.5：
Semantic Web / 5.3：
Extensions / 6.1：
Web Service Modeling Ontology Approach / 6.4：
Web Service Modeling Ontology / 7：
Ontologies / 7.1：
Goals / 7.2.2：
Mediators / 7.2.4：
The Web Service Modeling Language / 7.3：
Principles of WSMO / 8.1：
Logics Families and Semantic Web Services / 8.1.2：
WSML Language Variants / 8.2：
WSML Basis / 8.2.2：
Ontologies in WSML / 8.2.3：
Web Services in WSML / 8.2.4：
Goals in WSML / 8.2.5：
Mediators in WSML / 8.2.6：
Technologies for Using WSML / 8.2.7：
Travel Ontology / 8.3：
Services / 8.4.2：
Goal / 8.4.3：
The Web Service Execution Environment / 8.5：
Service Orientation / 9.1：
Execution Environment for Semantic Web Services / 9.1.2：
Governing Principles / 9.1.3：
SESA Vision / 9.2：
SESA Middleware / 9.2.2：
SESA Execution Semantics / 9.2.3：
Modeling of Business Services / 9.3：
Execution of Services / 9.3.2：
Possible Extensions / 9.4：
Goal Subscription / 9.4.1：
Complementary Approaches for Web Service Modeling Ontology / 9.5：
Triple Space Computing for Semantic Web Services / 10：
Tuplespace Computing / 10.1：
Triple Space Computing / 10.2.2：
Triple Space Conceptual Models / 10.2.3：
Triple Space Architecture / 10.2.4：
Triple Space and Semantic Web Services / 10.2.5：
Triple Space and Semantic SOA / 10.2.6：
OWL-S and Other Approaches / 10.3：
OWL-S / 11.2.1：
Service Profile
Service Grounding / 11.2.2：
Service Model / 11.2.3：
An Extension to OWL-S / 11.2.4：
Tool Support / 11.2.5：
OWL-S Summary / 11.2.6：
METEOR-S / 11.3：
Semantic Annotation of Web services / 11.3.1：
Semantics-Based Discovery of Web Services / 11.3.2：
Composition of Web Services / 11.3.3：
METEOR-S Summary / 11.3.4：
IRS-III / 11.4：
Discovery, Selection and Mediation / 11.4.1：
Communication / 11.4.2：
Choreography and Orchestration / 11.4.3：
Lightweight Semantic Web Service Descriptions / 11.5：
SAWSDL / 12.1：
WSMO-Lite Service Semantics / 12.2.2：
WSMO-Lite in SAWSDL / 12.2.3：
WSMO-Lite for RESTful Services / 12.2.4：
Real-World Adoption of Semantic Web Services / 12.3：
What Are SWS Good for? DIP, SUPER, and SOA4All Use Cases / 13：
Data, Information, and Process Integration with Semantic Web Services (DIP) / 13.1：
Use Cases / 13.2.1：
Semantics Utilized for Process Management Within and Between Enterprises (SUPER) / 13.3：
Service Oriented Architectures for All (SOA4All) / 13.3.1：
Seekda: The Business Point of View / 13.4.1：
Crawler / 14.1：
Search Engine / 14.2.2：
Bundle Configurator and Assistant / 14.2.3：
Index / 14.3：
Scientific and Technological Foundations of Semantic Web Services / Part I：
Introduction / 1：
Web Science / 2：
11.
ＥＢ
Dieter Fensel, Federico Michele Facca, Elena Simperl, Ioan Toma
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Scientific and Technological Foundations of Semantic Web Services / Part I：
Introduction / 1：
Web Science / 2：
Motivation / 2.1：
Technical Solution / 2.2：
History of the Web / 2.2.1：
Building the Web / 2.2.2：
Web in Society / 2.2.3：
Operationalizing the Web Science for a World of International Commerce / 2.2.4：
Analyzing the Web / 2.2.5：
Web 2.0 / 2.3：
Conclusions / 2.4：
References
Service Science / 3：
What Is a Service? / 3.1：
Service Analysis, Design, Development and Testing / 3.3：
Service Orchestration, Composition and Delivery / 3.4：
Service Innovation / 3.5：
Service Design Approach / 3.6：
Service Pricing Method and Economics / 3.7：
Service Quality Measurement / 3.8：
Service Technologies / 3.9：
Service Application / 3.10：
Web Services / 3.11：
Service Oriented Computing (SOC) / 4.1：
Service Oriented Architecture (SOA) / 4.1.2：
Defining Web Services / 4.2：
Web Service Technologies / 4.2.2：
Illustration by a Larger Example / 4.3：
Summary / 4.4：
Exercises / 4.5：
Web2.0 and RESTful Services / 5：
REST / 5.1：
Describing RESTful Services / 5.2.2：
Data Exchange for RESTful Services / 5.2.3：
AJAX APIs / 5.2.4：
Examples of RESTful Services / 5.2.5：
Semantic Web / 5.3：
Extensions / 6.1：
Web Service Modeling Ontology Approach / 6.4：
Web Service Modeling Ontology / 7：
Ontologies / 7.1：
Goals / 7.2.2：
Mediators / 7.2.4：
The Web Service Modeling Language / 7.3：
Principles of WSMO / 8.1：
Logics Families and Semantic Web Services / 8.1.2：
WSML Language Variants / 8.2：
WSML Basis / 8.2.2：
Ontologies in WSML / 8.2.3：
Web Services in WSML / 8.2.4：
Goals in WSML / 8.2.5：
Mediators in WSML / 8.2.6：
Technologies for Using WSML / 8.2.7：
Travel Ontology / 8.3：
Services / 8.4.2：
Goal / 8.4.3：
The Web Service Execution Environment / 8.5：
Service Orientation / 9.1：
Execution Environment for Semantic Web Services / 9.1.2：
Governing Principles / 9.1.3：
SESA Vision / 9.2：
SESA Middleware / 9.2.2：
SESA Execution Semantics / 9.2.3：
Modeling of Business Services / 9.3：
Execution of Services / 9.3.2：
Possible Extensions / 9.4：
Goal Subscription / 9.4.1：
Complementary Approaches for Web Service Modeling Ontology / 9.5：
Triple Space Computing for Semantic Web Services / 10：
Tuplespace Computing / 10.1：
Triple Space Computing / 10.2.2：
Triple Space Conceptual Models / 10.2.3：
Triple Space Architecture / 10.2.4：
Triple Space and Semantic Web Services / 10.2.5：
Triple Space and Semantic SOA / 10.2.6：
OWL-S and Other Approaches / 10.3：
OWL-S / 11.2.1：
Service Profile
Service Grounding / 11.2.2：
Service Model / 11.2.3：
An Extension to OWL-S / 11.2.4：
Tool Support / 11.2.5：
OWL-S Summary / 11.2.6：
METEOR-S / 11.3：
Semantic Annotation of Web services / 11.3.1：
Semantics-Based Discovery of Web Services / 11.3.2：
Composition of Web Services / 11.3.3：
METEOR-S Summary / 11.3.4：
IRS-III / 11.4：
Discovery, Selection and Mediation / 11.4.1：
Communication / 11.4.2：
Choreography and Orchestration / 11.4.3：
Lightweight Semantic Web Service Descriptions / 11.5：
SAWSDL / 12.1：
WSMO-Lite Service Semantics / 12.2.2：
WSMO-Lite in SAWSDL / 12.2.3：
WSMO-Lite for RESTful Services / 12.2.4：
Real-World Adoption of Semantic Web Services / 12.3：
What Are SWS Good for? DIP, SUPER, and SOA4All Use Cases / 13：
Data, Information, and Process Integration with Semantic Web Services (DIP) / 13.1：
Use Cases / 13.2.1：
Semantics Utilized for Process Management Within and Between Enterprises (SUPER) / 13.3：
Service Oriented Architectures for All (SOA4All) / 13.3.1：
Seekda: The Business Point of View / 13.4.1：
Crawler / 14.1：
Search Engine / 14.2.2：
Bundle Configurator and Assistant / 14.2.3：
Index / 14.3：
Scientific and Technological Foundations of Semantic Web Services / Part I：
Introduction / 1：
Web Science / 2：
12.
ＥＢ
Henk Broer, Floris Takens
出版情報:
SpringerLink Books - AutoHoldings , Springer New York, 2011
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Examples and definitions of dynamical phenomena / 1：
The pendulum as a dynamical system / 1.1：
The free pendulum / 1.1.1：
The free undamped pendulum / 1.1.1.1：
The free damped pendulum / 1.1.1.2：
The forced pendulum / 1.1.2：
Summary and outlook / 1.1.3：
General definition of dynamical systems / 1.2：
Differential equations / 1.2.1：
Constructions of dynamical systems / 1.2.2：
Restriction / 1.2.2.1：
Discretisation / 1.2.2.2：
Suspension and poincaré map / 1.2.2.3：
Further examples of dynamical systems / 1.3：
A Hopf bifurcation in the Van der Pol equation / 1.3.1：
The Van der Pol equation / 1.3.1.1：
Hopf bifurcation / 1.3.1.2：
The Hénon map: Saddle points and separatrices / 1.3.2：
The logistic system: Bifurcation diagrams / 1.3.3：
The Newton algorithm / 1.3.4：
R U {∞} as a circle: Stereographic projection / 1.3.4.1：
Applicability of the Newton algorithm / 1.3.4.2：
Nonconvergent Newton algorithm / 3.3.4.1：
Newton algorithm in higher dimensions
Dynamical systems defined by partial differential equations / 1.3.5：
The 1-dimensional wave equation / 1.3.5.1：
Solution of the 1-dimensional wave equation / 1.3.5.2：
The 1-dimensional heat equation / 3.3.5.3：
The Lorenz attractor / 1.3.6：
The Lorenz system; the Lorenz attractor / 1.3.6.1：
Sensitive dependence on initial state / 1.3.6.2：
The Rössler attractor; Poincaré map / 1.3.7：
The Rössler system / 1.3.7.1：
The attractor of the Poincaré map / 1.3.7.2：
The doubling map and chaos / 1.3.8：
The doubling map on the interval / 1.3.8.1：
The doubling map on the circle / 1.3.8.2：
The doubling map in symbolic dynamics / 1.3.8.3：
Analysis of the doubling map in symbolic form / 1.3.8.4：
General shifts / 1.3.9：
Exercises / 1.4：
Qualitative properties and predictability of evolutions / 2：
Stationary and periodic evolutions / 2.1：
Predictability of periodic and stationary motions / 2.1.1：
Asymptotically and eventually periodic evolutions / 2.1.2：
Multi- and quasi-periodic evolutions / 2.2：
The n-dimensional torus / 2.2.1：
Translations on a torus / 2.2.2：
Translation systems on the 1 -dimensional torus / 2.2.2.1：
Translation systems on the 2-dimensional torus with time set R / 2.2.2.2：
Translation systems on the n-dimensional torus with time set R / 2.2.2.3：
Translation systems on the n-dimensional torus with time set Z or Z+ / 2.2.2.4：
General definition of multi- and quasi-periodic evolutions / 2.2.3：
Multi- and quasi-periodic subsystems / 2.2.3.1：
Example: The driven Van der Pol equation / 2.2.3.2：
The prediction principle l'histoire se répète / 2.2.4：
The general principle / 2.2.4.1：
Application to quasi-periodic evolutions / 2.2.4.2：
Historical remarks / 2.2.5：
Chaotic evolutions / 2.3：
Badly predictable (chaotic) evolutions of the doubling map / 2.3.1：
Definition of dispersion exponent and chaos / 2.3.2：
Properties of the dispersion exponent / 2.3.3：
'Transition' from quasi-periodic to stochastic / 2.3.3.1：
'Transition' from periodic to chaotic / 2.3.3.2：
'Transition' from chaotic to stochastic / 2.3.3.3：
Chaotic evolutions in the examples of Chapter 1 / 2.3.4：
Chaotic evolutions of the Thom map / 2.3.5：
Persistence of dynamical properties / 2.4：
Variation of initial state / 3.1：
Variation of parameters / 3.2：
Persistence of stationary and periodic evolutions / 3.3：
Persistence of stationary evolutions / 3.3.1：
Persistence of periodic evolutions / 3.3.2：
Persistence for the doubling map / 3.4：
Perturbations of the doubling map: Persistent chaoticity / 3.4.1：
Structural stability / 3.4.2：
The doubling map modelling a (fair) coin / 3.4.3：
Global structure of dynamical systems / 3.5：
Definitions / 4.1：
Examples of attractors / 4.2：
The doubling map and hyperbolic attractors / 4.2.1：
The doubling map on the plane / 4.2.1.1：
The doubling map in 3-space: The solenoid / 4.2.1.2：
Digression on hyperbolicity / 4.2.1.3：
The solenoid as a hyperbolic attractor / 4.2.1.4：
Properties of hyperbolic attractors / 4.2.1.5：
Nonhyperbolic attractors / 4.2.2：
Hénon-like attractors / 4.2.2.1：
Chaotic systems / 4.2.2.2：
Basin boundaries and the horseshoe map / 4.4：
Gradient systems / 4.4.1：
The horseshoe map / 4.4.2：
Symbolic dynamics / 4.4.2.1：
Horseshoelike sets in basin boundaries / 4.4.2.2：
On KAM theory / 4.5：
Introduction, setting of the problem / 5.1：
KAM theory of circle maps / 5.2：
Preliminaries / 5.2.1：
Formal considerations and small divisors / 5.2.2：
Resonance tongues / 5.2.3：
KAM theory of area-preserving maps / 5.3：
KAM theory of holomorphic maps / 5.4：
Complex linearisation / 5.4.1：
Cremer's example in Herman's version / 5.4.2：
The linear small divisor problem / 5.5：
Motivation / 5.5.1：
Setting of the problem and formal solution / 5.5.2：
Convergence / 5.5.3：
Reconstruction and time series analysis / 5.6：
Introduction / 6.1：
An experimental example: The dripping faucet / 6.2：
The reconstruction theorem / 6.3：
Generalisations / 6.3.1：
Continuous time / 6.3.1.1：
Multidimensional measurements / 6.3.1.2：
Endomorphisms / 6.3.1.3：
Compactness / 6.3.1.4：
Historical note / 6.3.2：
Reconstruction and detecting determinism / 6.4：
Box-counting dimension and its numerical estimation / 6.4.1：
Numerical estimation of the box-counting dimension / 6.4.2：
Box-counting dimension as an indication for 'thin' subsets / 6.4.3：
Estimation of topological entropy / 6.4.4：
Stationarity and reconstruction measures / 6.5：
Probability measures defined by relative frequencies / 6.5.1：
Definition of stationarity and reconstruction measures / 6.5.2：
Examples of nonexistence of reconstruction measures / 6.5.3：
Correlation dimensions and entropies / 6.6：
Miscellaneous remarks / 6.6.1：
Compatibility of the definitions of dimension and entropy with reconstruction / 6.6.2.1：
Generalised correlation integrals, dimensions, and entropies / 6.6.2.2：
Numerical estimation of correlation integrals, dimensions, entropies / 6.7：
Classical time series analysis, correlation integrals, and predictability / 6.8：
Classical time series analysis / 6.8.1：
Optimal linear predictors / 6.8.1.1：
Gaussian time series / 6.8.1.2：
Determinism and Autocovariances / 6.8.2：
Predictability and correlation integrals / 6.8.3：
L'histoire se répète / 6.8.3.1：
Local linear predictors / 6.8.3.2：
Miscellaneous subjects / 6.9：
Lyapunov exponents / 6.9.1：
Estimation of Lyapunov exponents from a time series / 6.9.2：
The Kantz-Diks test: Discriminating between time series and testing for reversibility / 6.9.3：
Differential topology and measure theory / 6.10：
Topology / A.1：
Differentiable manifolds / A.2：
Measure theory / A.3：
Miscellaneous KAM theory / Appendix B：
Classical (conservative) KAM theory / B.1：
Dissipative KAM theory / B.3：
On the KAM proof in the dissipative case / B.4：
Reformulation and some notation / B.4.1：
On the Newtonian iteration / B.4.2：
Miscellaneous bifurcations / B.5：
Local bifurcations of low codimension / C.1：
Saddle-node bifurcation / C.1.1：
Period doubling bifurcation / C.1.2：
Hopf-Neimark-Sacker bifurcation / C.1.3：
The center-saddle bifurcation / C.1.5：
Quasi-periodic bifurcations / C.2：
The quasi-periodic center-saddle bifurcation / C.2.1：
The quasi-periodic Hopf bifurcation / C.2.2：
Transition to chaos / C.3：
Derivation of the Lorenz equations / C.4：
Geometry and flow of an incompressible fluid / D.1：
Heat transport and the influence of temperature / D.2：
Rayleigh stability analysis / D.3：
Restriction to a 3-dimensionaI state space / D.4：
Guide to the literature / Appendix E：
General references / E.1：
On ergodic theory / E.2：
On Hamiltonian dynamics / E.3：
On normal forms and bifurcations / E.4：
Bibliography
Index
Examples and definitions of dynamical phenomena / 1：
The pendulum as a dynamical system / 1.1：
The free pendulum / 1.1.1：
13.
ＥＢ
John Daniel Aycock
出版情報:
Springer eBooks Computer Science , Springer US, 2011
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Introduction / 1：
Definitions and History / 1.1：
Motivation / 1.2：
Getting There / 2：
Installation / 2.1：
Explicit, Voluntary Installation / 2.1.1：
Drive-by Downloads, User Involvement / 2.1.2：
Drive-by Downloads, No User Involvement / 2.1.3：
Installation via Malware / 2.1.4：
Startup / 2.2：
Application-Specific Startup / 2.2.1：
GUI Startup / 2.2.2：
System Startup / 2.2.3：
Kernel Startup / 2.2.4：
Defenses / 2.2.5：
Staying There / 3：
Avoiding Detection / 3.1：
Basic Detection Avoidance / 3.1.1：
Anti-Spyware / 3.1.2：
Advanced Detection Avoidance: Rootkits / 3.1.3：
Avoiding Uninstall / 3.2：
Passive Avoidance / 3.2.1：
Active Avoidance / 3.2.2：
Keylogging / 4：
User Space Keylogging / 4.1：
Polling / 4.1.1：
Event Copying / 4.1.2：
Event Monitoring / 4.1.3：
User Space Keylogging Defenses / 4.2：
Authentication / 4.3：
Phoning Home / 5：
Push vs. Pull / 5.1：
Finding Home / 5.2：
Steganography / 5.3：
Information Leaking Defenses / 5.4：
Advertising / 6：
Types of Advertisement / 6.1：
Banner Advertisement / 6.1.1：
Banner Advertisement with Pull-down Menu / 6.1.2：
Expandable Banner Advertisement / 6.1.3：
Pushdown Banner Advertisement / 6.1.4：
Pop-up Advertisement / 6.1.5：
Pop-under Advertisement / 6.1.6：
Floating Advertisement / 6.1.7：
Tear-back Advertisement / 6.1.8：
In-text Advertisement / 6.1.9：
Transition Advertisement / 6.1.10：
Video Advertisements / 6.1.11：
Intent and Content / 6.2：
Advertisement Implementation / 7：
Implementation Location / 7.1：
Implementation on the User Machine / 7.1.1：
Implementation in the Network / 7.1.2：
Implementation near the User Machine / 7.1.3：
Implementation on the Server / 7.1.4：
Choosing Keywords / 7.2：
Blocking Advertisements / 7.3：
Pop-up Blocking / 7.3.1：
General Advertisement Blocking / 7.3.2：
Blocker Evasion and Blocker Blocking / 7.3.3：
Tracking Users
Cookies / 8.1：
Other Browser-Related Tracking Methods / 8.1.1：
User Profiling / 8.2：
Cognitive Styles, Mood, and Personality / 8.2.1：
Future Actions / 8.2.2：
Demographic Information / 8.2.3：
Social Networks / 8.2.4：
Real World Activities / 8.2.5：
Physical of Location / 8.2.6：
Search Terms and keywords / 8.2.7：
Disinterests / 8.2.8：
Conclusion / 9：
References
Index
Introduction / 1：
Definitions and History / 1.1：
Motivation / 1.2：
14.
ＥＢ
Hern??ndez-cordero
出版情報:
SPIE Digital Library Proceedings , 2010
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15.
ＥＢ
John Daniel Aycock
出版情報:
SpringerLink Books - AutoHoldings , Springer US, 2011
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Introduction / 1：
Definitions and History / 1.1：
Motivation / 1.2：
Getting There / 2：
Installation / 2.1：
Explicit, Voluntary Installation / 2.1.1：
Drive-by Downloads, User Involvement / 2.1.2：
Drive-by Downloads, No User Involvement / 2.1.3：
Installation via Malware / 2.1.4：
Startup / 2.2：
Application-Specific Startup / 2.2.1：
GUI Startup / 2.2.2：
System Startup / 2.2.3：
Kernel Startup / 2.2.4：
Defenses / 2.2.5：
Staying There / 3：
Avoiding Detection / 3.1：
Basic Detection Avoidance / 3.1.1：
Anti-Spyware / 3.1.2：
Advanced Detection Avoidance: Rootkits / 3.1.3：
Avoiding Uninstall / 3.2：
Passive Avoidance / 3.2.1：
Active Avoidance / 3.2.2：
Keylogging / 4：
User Space Keylogging / 4.1：
Polling / 4.1.1：
Event Copying / 4.1.2：
Event Monitoring / 4.1.3：
User Space Keylogging Defenses / 4.2：
Authentication / 4.3：
Phoning Home / 5：
Push vs. Pull / 5.1：
Finding Home / 5.2：
Steganography / 5.3：
Information Leaking Defenses / 5.4：
Advertising / 6：
Types of Advertisement / 6.1：
Banner Advertisement / 6.1.1：
Banner Advertisement with Pull-down Menu / 6.1.2：
Expandable Banner Advertisement / 6.1.3：
Pushdown Banner Advertisement / 6.1.4：
Pop-up Advertisement / 6.1.5：
Pop-under Advertisement / 6.1.6：
Floating Advertisement / 6.1.7：
Tear-back Advertisement / 6.1.8：
In-text Advertisement / 6.1.9：
Transition Advertisement / 6.1.10：
Video Advertisements / 6.1.11：
Intent and Content / 6.2：
Advertisement Implementation / 7：
Implementation Location / 7.1：
Implementation on the User Machine / 7.1.1：
Implementation in the Network / 7.1.2：
Implementation near the User Machine / 7.1.3：
Implementation on the Server / 7.1.4：
Choosing Keywords / 7.2：
Blocking Advertisements / 7.3：
Pop-up Blocking / 7.3.1：
General Advertisement Blocking / 7.3.2：
Blocker Evasion and Blocker Blocking / 7.3.3：
Tracking Users
Cookies / 8.1：
Other Browser-Related Tracking Methods / 8.1.1：
User Profiling / 8.2：
Cognitive Styles, Mood, and Personality / 8.2.1：
Future Actions / 8.2.2：
Demographic Information / 8.2.3：
Social Networks / 8.2.4：
Real World Activities / 8.2.5：
Physical of Location / 8.2.6：
Search Terms and keywords / 8.2.7：
Disinterests / 8.2.8：
Conclusion / 9：
References
Index
Introduction / 1：
Definitions and History / 1.1：
Motivation / 1.2：
16.
図書
Edward Bellinger and David C. Sigee
出版情報:
Chichester, West Sussex, UK ; Hoboken, N.J. : Wiley-Blackwell, 2010 viii, 271 p ; 26 cm
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Introduction to freshwater algae / 1：
General introduction / 1.1：
Algae / 1.1.1：
Algae as primary producers / 1.1.2：
Freshwater environments / 1.1.3：
Planktonic and benthic algae / 1.1.4：
Size and shape / 1.1.5：
Taxonomic variation / 1.2：
Microscopical appearance / 1.2.1：
Biochemistry / 1.2.2：
Molecular characteristics and identification / 1.2.3：
Blue-green algae / 1.3：
Cytology / 1.3.1：
Morphological and taxonomic diversity / 1.3.2：
Ecology / 1.3.3：
Blue-green algae as bioindicators / 1.3.4：
Green algae / 1.4：
Morphological diversity / 1.4.1：
Green algae as bioindicators / 1.4.3：
Euglenoids / 1.5：
Euglenoids as bioindicators / 1.5.1：
Yellow-green algae / 1.6：
Yellow-green algae as bioindicators / 1.6.1：
Dinoflagellates / 1.7：
Cryptomonads / 1.7.1：
Comparison with euglenoid algae / 1.8.1：
Biodiversity / 1.8.3：
Cryptomonads as bioindicators / 1.8.4：
Chrysophytes / 1.9：
Chrysophytes as bioindicators / 1.9.1：
Diatoms / 1.10：
Diatoms as bioindicators / 1.10.1：
Red algae / 1.11：
Brown algae / 1.12：
Sampling, biomass estimation and counts of freshwater algae A Planktonic algae / 2：
Protocol for collection / 2.1：
Standing water phytoplankton / 2.1.1：
River phytoplankton
Mode of collection / 2.2：
Phytoplankton trawl net / 2.2.1：
Volume samplers / 2.2.2：
Integrated sampling / 2.2.3：
Sediment traps / 2.2.4：
Phytoplankton biomass / 2.3：
Turbidity / 2.3.1：
Dry weight and ash-free dry weight / 2.3.2：
Pigment concentrations / 2.3.3：
Flow cytometry / 2.4：
Microscope counts of species populations / 2.5：
Sample preservation and processing / 2.5.1：
Species counts / 2.5.2：
Conversion of species counts to biovolumes / 2.5.3：
Chemical cleaning of diatoms / 2.5.4：
Diversity within species populations / 2.6：
Molecular analysis / 2.6.1：
Analytical microscopical techniques B Non-planktonic algae / 2.6.2：
Deep water benthic algae / 2.7：
Benthic-pelagic coupling / 2.7.1：
Benthic algae and sediment stability / 2.7.2：
Invertebrate grazing of benthic algae / 2.7.3：
Shallow water communities / 2.8：
Substrate / 2.8.1：
Algal communities / 2.8.2：
Algal biofilms / 2.9：
Mucialginous biofilms / 2.9.1：
Biomass / 2.9.2：
Taxonomic composition / 2.9.3：
Matrix structure / 2.9.4：
Periphyton? algal mats / 2.10：
Inorganic substratum / 2.10.1：
Plant surfaces / 2.10.2：
Algae as bioindicators / 3：
Bioindicators and water quality / 3.1：
Biomarkers and bioindicators / 3.1.1：
Characteristics of bioindicators / 3.1.2：
Biological monitoring versus chemical measurements / 3.1.3：
Monitoring water quality: objectives / 3.1.4：
Lakes / 3.2：
Contemporary planktonic and attached algae as bioindicators / 3.2.1：
Fossil algae as bioindicators: lake sediment analysis / 3.2.2：
Water quality parameters / 3.2.3：
Wetlands / 3.3：
Rivers / 3.4：
The periphyton community / 3.4.1：
River diatoms / 3.4.2：
Evaluation of the diatom community / 3.4.3：
Human impacts and diatom indices / 3.4.4：
Calculation of diatom indices / 3.4.5：
Practical applications of diatom indices / 3.4.6：
Estuaries / 3.5：
Ecosystem complexity / 3.5.1：
Algae as estuarine bioindicators / 3.5.2：
A key to the more frequently occurring freshwater algae / 4：
Introduction to the key / 4.1：
Using the key / 4.1.1：
Morphological groupings / 4.1.2：
Key to the main genera and species / 4.2：
List of algae included and their occurrence in the key / 4.3：
Algal identification: bibliography / 4.4：
Glossary
References
Index
Introduction to freshwater algae / 1：
General introduction / 1.1：
Algae / 1.1.1：
17.
ＥＢ
Haidou Wang, Binshi Xu
出版情報:
SpringerLink Books - AutoHoldings , Dordrecht : Springer Berlin Heidelberg, 2012
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Solid Lubrication Materials / Chapter 1：
Overview of Solid Lubrication / 1.1：
Introduction / 1.1.1：
Adhesive Wear and Scuffing of Metals and Methods of Prevention / 1.1.2：
Solid Lubrication / 1.1.3：
Soft Metal / 1.2：
Crystal Structure / 1.2.1：
Physical and Chemical Properties / 1.2.2：
Lubrication Mechanism / 1.2.3：
Metal Compounds / 1.3：
FeS / 1.3.1：
MoS2 / 1.3.2：
WS2 / 1.3.3：
ZnS / 1.3.4：
Inorganic Solid Lubricant / 1.4：
Graphite / 1.4.1：
BN / 1.4.2：
Organic Solid Lubricant / 1.5：
Polytetrafluoroethylene / 1.5.1：
Polythene / 1.5.2：
Nylon / 1.5.3：
Polyformaldehyde / 1.5.4：
Phenol Formaldehyde Resin / 1.5.5：
Epoxide Resin / 1.5.6：
Conclusion / 1.6：
References
Solid Lubrication FeS Film Prepared by Ion Sulfuration / Chapter 2：
The Microstructure of Solid FeS / 2.1：
Surface Morphologies of Solid FeS / 2.1.1：
Phase Structures of Solid FeS / 2.1.2：
TEM Morphologies of Solid FeS / 2.1.3：
Analysis of Electron Diffraction / 2.1.4：
The Formation of Iron Sulfuration Layer / 2.2：
Experimental Methods / 2.2.1：
Surface Morphologies of Sulfuration Layers / 2.2.2：
Composition on the Sulfurized Steel Surface / 2.2.3：
Phase Structure of Sulfide Layer at Different Sulfurizing Time / 2.2.4：
Formation Mechanism of Sulfurized Layer / 2.2.5：
Characterization of Ion Sulfurized Layer / 2.3：
Characterization of Sulfurized Layer on 1045 and 52100 Steels / 2.3.1：
Characterization of Sulfurized Layer on Four Kinds of Steels / 2.3.2：
Tribological Properties of Sulfurized Layers / 2.4：
Tribological Properties of Sulfurized Layers on 1045 and 52100 Steels / 2.4.1：
Tribological Properties of Sulfide Layer on Four Kinds of Steel / 2.4.2：
Influencing Factors of the Microstructures and Tribological Properties on Sulfurized Layers / 2.5：
Effect of the Substrate State on the Sulfide Layer on 1045 Steel / 2.5.1：
Effect of Environment Temperature on the Sulfurized Layer on 52100 Steel / 2.5.2：
Effect of Wear Conditions on the Tribological Behaviors of Sulfurized Layer on 52100 Steel / 2.5.3：
FeS Solid Lubrication Film Prepared by a Two-step Method / Chapter 3：
Radio-frequency (RF) Sputtering + Sulfurizing Combined Treatment / 3.1：
RF Sputtering Technology / 3.1.1：
Process of Preparation / 3.1.2：
Microstructures / 3.1.3：
Tribological Properties / 3.1.4：
Shot-peening + Ion Sulfuration Combined Treatment / 3.2：
Preparation / 3.2.1：
Characterization / 3.2.2：
Tribological Properties of Sulfide Layer / 3.2.3：
Nitriding + Sulfurizing Combined Treatment / 3.3：
1045 Steel Nitriding + Sulfurizing Combined Treatment / 3.3.1：
Gray Cast-iron Nitriding + Sulfurizing Combined Treatment / 3.3.2：
Nitrocarburizing + Sulfurizing Combined Treatment / 3.4：
Thermal Spraying 3Crl3 Steel Coating + Sulfurizing Combined Treatment / 3.5：
Arc Spraying Technology / 3.5.1：
High-velocity Arc Spraying / 3.5.2：
Thermal Spraying FeCrBSi + Sulfurizing Combined Treatment / 3.5.3：
MTG (metal inert-gas) Welding + Sulfurizing Combined Treatment / 3.6.1：
MIG Welding Technology / 3.7.1：
Structures / 3.7.2：
Mechanism of FeS Film Prepared by Different Methods / 3.7.4：
FeS Solid Lubrication Layer Prepared by Other Methods / Chapter 4：
High-velocity Flame Sprayed FeS Coating / 4.1：
High-velocity Flame Spraying Technology / 4.1.1：
Tribological Properties of FeS Coating / 4.1.2：
Lubrication Mechanism of Sprayed FeS Coating / 4.1.5：
Plasma Sprayed FeS and FeS2 Coatings / 4.2：
Plasma Spraying Technique / 4.2.1：
Preparation of FeS (FeS2 ) Coating / 4.2.2：
Characterization of FeS (FeS2 ) Coating / 4.2.3：
Tribological Properties of FeS (FeS2 ) Coating / 4.2.4：
Plasma Sprayed Nano-FeS and FeS-SiC Composite Coating / 4.3：
Plasma Sprayed Nano-FeS Coating / 4.3.1：
Sprayed FeS-SiC Composite Coating / 4.3.2：
Comparison of the Tribological Properties of Ion Sulfurized Layer and Plasma Sprayed FeS Coating / 4.4：
Experimental Method / 4.4.1：
Microstructure and Tribological Properties / 4.4.2：
Sol-gel FeS Coating / 4.5：
FeS Film Prepared by S-ion Implantation / 4.5.1：
Ion Implantation Technology / 4.6.1：
Tribological Properties of Sulfur-implanted Steel / 4.6.2：
Micron-nano MoS2 Solid Lubrication Film / Chapter 5：
MoS2 Film / 5.1：
MoS2 Sputtering Film / 5.1.1：
MoS2 Film Prepared by Two-step Method / 5.1.2：
Thermal Spraying MoS2 Film / 5.1.3：
Bonded MoS2 Film / 5.1.4：
Inorganic Fullerene-like Nano MoS2 Film / 5.1.5：
MoS2 /metal Co-deposition / 5.2：
MoS2 /Ni Composite Film / 5.2.1：
MoS2 /Ti Composite Film / 5.2.2：
MoS2 /Au Co-sputtered Film / 5.2.3：
MoS2 /Metal Compound Composite Film / 5.3：
MoS2 /TiN Composite Film / 5.3.1：
MoS2 /Pb2 O3 Composite Film / 5.3.2：
MoS2 /LaF3 Composite Film / 5.3.3：
MoS2 /FeS Multilayer Film / 5.3.4：
MoS2 /graphite Sputtered Coating / 5.4：
Micron-nano WS2 Solid Lubrication Film / Chapter 6：
WS2 Film / 6.1：
Characterizations of the Synthetic WS2 Film / 6.1.1：
Tribological Properties of the Synthetic WS2 Film / 6.1.2：
WS2 /Ag Composite Film / 6.2：
Structures of WS2 /Ag Composite Film / 6.2.1：
Tribological Properties of the WS2 /Ag Composite Film / 6.2.2：
WS2 /MoS2 Multilayer Film / 6.3：
WS2 /MoS2 Co-sputtered Film / 6.3.1：
WS2 /MoS2 Multilayer Film Prepared by Combined Treatment / 6.3.2：
WS2 /CaF2 Composite Coating / 6.4：
Ni-P-(IF-WS2 ) Composite Film / 6.5：
Micron-nano ZnS Solid Lubrication Film / Chapter 7：
ZnS Film Prepared by High Velocity Arc Spraying + Sulfurizing Treatment / 7.1：
Characterizations / 7.1.1：
Tribe-logical Properties / 7.1.3：
Lubrication Mechanisms of the Zn/ZnS Composite Layer / 7.1.4：
ZnS Film Prepared by Nano-brush Plating + Sulfurizing Treatment / 7.2：
Morphologies / 7.2.1：
Friction Coefficient / 7.2.3：
Worn Morphologies / 7.2.4：
Energy Spectrum Analysis / 7.2.5：
Index / 7.3：
Solid Lubrication Materials / Chapter 1：
Overview of Solid Lubrication / 1.1：
Introduction / 1.1.1：
18.
ＥＢ
Rainer B?hme
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2010
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Introduction / 1：
Steganography and Steganalysis as Empirical Sciences / 1.1：
Objective and Approach / 1.2：
Outline / 1.3：
Background and Advances in Theory / Part I：
Principles of Modern Steganography and Steganalysis / 2：
Digital Steganography and Steganalysis / 2.1：
Steganographic System / 2.1.1：
Steganalysis / 2.1.2：
Relevance in Social and Academic Contexts / 2.1.3：
Conventions / 2.2：
Design Goals and Metrics / 2.3：
Capacity / 2.3.1：
Steganographic Security / 2.3.2：
Robustness / 2.3.3：
Further Metrics / 2.3.4：
Paradigms for the Design of Steganographic Systems / 2.4：
Paradigm I: Modify with Caution / 2.4.1：
Paradigm II: Cover Generation / 2.4.2：
Dominant Paradigm / 2.4.3：
Adversary Models / 2.5：
Passive Warden / 2.5.1：
Active Warden / 2.5.2：
Embedding Domains / 2.6：
Artificial Channels / 2.6.1：
Spatial and Time Domains / 2.6.2：
Transformed Domain / 2.6.3：
Selected Cover Formats: JPEG and MP3 / 2.6.4：
Exotic Covers / 2.6.5：
Embedding Operations / 2.7：
LSB Replacement / 2.7.1：
LSB Matching (±1) / 2.7.2：
Mod-? Replacement, Mod-? Matching, and Generalisations / 2.7.3：
Multi-Sample Rules / 2.7.4：
Adaptive Embedding / 2.7.5：
Protocols and Message Coding / 2.8：
Public-Key Steganography / 2.8.1：
Maximising Embedding Efficiency / 2.8.2：
Specific Detection Techniques / 2.9：
Calibration of JPEG Histograms / 2.9.1：
Universal Detectors / 2.9.2：
Quantitative Steganalysis / 2.9.3：
Selected Estimators for LSB Replacement in Spatial Domain Images / 2.10：
RS Analysis / 2.10.1：
Sample Pair Analysis / 2.10.2：
Higher-Order Structural Steganalysis / 2.10.3：
Weighted Stego Image Steganalysis / 2.10.4：
Summary and Further Steps / 2.11：
Towards a Theory of Cover Models / 3：
Steganalyst's Problem Formalised / 3.1：
The Plausibility Heuristic / 3.1.1：
Application to Digital Steganography / 3.1.2：
Incognisability of the Cover Distribution / 3.1.3：
Cover Models / 3.2：
Defining Cover Models / 3.2.1：
Options for Formulating Cover Models / 3.2.2：
Cover Models and Detection Performance / 3.2.3：
Summary and Motivations for Studying Cover Models / 3.2.4：
Dealing with Heterogeneous Cover Sources / 3.3：
Mixture Distributions / 3.3.1：
The Mixture Cover Model / 3.3.2：
Relation to Prior Information-Theoretic Work / 3.4：
Theoretical Limits / 3.4.1：
Observability Bounds / 3.4.2：
Computational Bounds / 3.4.3：
Applicability of the Theory of Cover Models / 3.4.4：
Indeterminacy in the Cover / 3.4.5：
Instances of Cover Models for Heterogeneous Sources / 3.5：
Summary / 3.6：
Specific Advances in Steganalysis / Part II：
Detection of Model-Based Steganography with First-Order Statistics / 4：
Fundamentals of Model-Based Steganography / 4.1：
MB1: An Embedding Function for JPEG Covers / 4.2：
Detection Method / 4.3：
Experimental Validation / 4.4：
Summary and Outlook / 4.5：
Limitations and Future Directions / 4.5.1：
Possible (Short-Term) Countermeasures / 4.5.2：
Implications for More Secure Steganography / 4.5.3：
Models of Heterogeneous Covers for Quantitative Steganalysis / 5：
Metrics for Quantitative Steganalysis / 5.1：
Conventional Metrics / 5.1.1：
Improved Metrics Based on a Distribution Model / 5.1.2：
Decomposition of Estimation Errors / 5.1.3：
Measurement of Sensitivity to Cover Properties / 5.2：
Method / 5.2.1：
Modelling the Shape of the Between-Image Distribution / 5.2.2：
Modelling the Shape of the Within-Image Distribution / 5.2.3：
Summary and Conclusion / 5.3：
Improved Weighted Stego Image Steganalysis / 6：
Enhanced WS for Never-Compressed Covers / 6.1：
Enhanced Predictor / 6.1.1：
Enhanced Calculation of Weights / 6.1.2：
Enhanced Bias Correction / 6.1.3：
Experimental Results / 6.1.4：
Adaptation of WS to JPEG Pre-Compressed Covers / 6.2：
Improved Predictor / 6.2.1：
Estimation of the Cover's JPEG Compression Quality / 6.2.2：
Using Encoder Artefacts for Steganalysis of Compressed Audio Streams / 6.2.3：
MP3 Steganography and Steganalysis / 7.1：
Problem Statement in the Mixture Cover Model Framework / 7.1.1：
Level of Analysis and Related Work / 7.1.2：
Description of Features / 7.1.3：
Features Based on the Compression Size Control Mechanism / 7.2.1：
Features Based on Model Decisions / 7.2.2：
Features Based on Capability Usage / 7.2.3：
Feature Based on Stream Formatting / 7.2.4：
Experimental Results for Encoder Detection / 7.3：
Single-Compressed Audio Files / 7.3.1：
Importance of Individual Features / 7.3.2：
Influence of Double-Compression / 7.3.3：
Experimental Results for Improved Steganalysis / 7.4：
Explorative Analysis of Encoder Similarities / 7.5：
Summary and Discussion / 7.6：
Transferability to Other Formats / 7.6.1：
Related Applications / 7.6.3：
Synthesis / Part III：
General Discussion / 8：
Summary of Results / 8.1：
Results Based on Informal Arguments / 8.1.1：
Results Based on Mathematical Proofs / 8.1.2：
Results Based on Empirical Evidence / 8.1.3：
Limitations / 8.2：
Directions for Future Research / 8.3：
Theoretical Challenges / 8.3.1：
Empirical Challenges / 8.3.2：
Practical Challenges / 8.3.3：
Conclusion and Outlook / 8.4：
Description of Covers Used in the Experiments / A：
Spurious Steganalysis Results Using the 'van Hateren' Image Database / B：
Proof of Weighted Stego Image (WS) Estimator / C：
Derivation of Linear Predictor for Enhanced WS / D：
Game for Formal Security Analysis / E：
Derivation of ROC Curves and AUC Metric for Example Cover Models / F：
Supplementary Figures and Tables / G：
References
List of Tables
List of Figures
List of Acronyms
List of Symbols
List of Functions
Index
Introduction / 1：
Steganography and Steganalysis as Empirical Sciences / 1.1：
Objective and Approach / 1.2：
19.
ＥＢ
Rainer Böhme
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2010
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Introduction / 1：
Steganography and Steganalysis as Empirical Sciences / 1.1：
Objective and Approach / 1.2：
Outline / 1.3：
Background and Advances in Theory / Part I：
Principles of Modern Steganography and Steganalysis / 2：
Digital Steganography and Steganalysis / 2.1：
Steganographic System / 2.1.1：
Steganalysis / 2.1.2：
Relevance in Social and Academic Contexts / 2.1.3：
Conventions / 2.2：
Design Goals and Metrics / 2.3：
Capacity / 2.3.1：
Steganographic Security / 2.3.2：
Robustness / 2.3.3：
Further Metrics / 2.3.4：
Paradigms for the Design of Steganographic Systems / 2.4：
Paradigm I: Modify with Caution / 2.4.1：
Paradigm II: Cover Generation / 2.4.2：
Dominant Paradigm / 2.4.3：
Adversary Models / 2.5：
Passive Warden / 2.5.1：
Active Warden / 2.5.2：
Embedding Domains / 2.6：
Artificial Channels / 2.6.1：
Spatial and Time Domains / 2.6.2：
Transformed Domain / 2.6.3：
Selected Cover Formats: JPEG and MP3 / 2.6.4：
Exotic Covers / 2.6.5：
Embedding Operations / 2.7：
LSB Replacement / 2.7.1：
LSB Matching (±1) / 2.7.2：
Mod-? Replacement, Mod-? Matching, and Generalisations / 2.7.3：
Multi-Sample Rules / 2.7.4：
Adaptive Embedding / 2.7.5：
Protocols and Message Coding / 2.8：
Public-Key Steganography / 2.8.1：
Maximising Embedding Efficiency / 2.8.2：
Specific Detection Techniques / 2.9：
Calibration of JPEG Histograms / 2.9.1：
Universal Detectors / 2.9.2：
Quantitative Steganalysis / 2.9.3：
Selected Estimators for LSB Replacement in Spatial Domain Images / 2.10：
RS Analysis / 2.10.1：
Sample Pair Analysis / 2.10.2：
Higher-Order Structural Steganalysis / 2.10.3：
Weighted Stego Image Steganalysis / 2.10.4：
Summary and Further Steps / 2.11：
Towards a Theory of Cover Models / 3：
Steganalyst's Problem Formalised / 3.1：
The Plausibility Heuristic / 3.1.1：
Application to Digital Steganography / 3.1.2：
Incognisability of the Cover Distribution / 3.1.3：
Cover Models / 3.2：
Defining Cover Models / 3.2.1：
Options for Formulating Cover Models / 3.2.2：
Cover Models and Detection Performance / 3.2.3：
Summary and Motivations for Studying Cover Models / 3.2.4：
Dealing with Heterogeneous Cover Sources / 3.3：
Mixture Distributions / 3.3.1：
The Mixture Cover Model / 3.3.2：
Relation to Prior Information-Theoretic Work / 3.4：
Theoretical Limits / 3.4.1：
Observability Bounds / 3.4.2：
Computational Bounds / 3.4.3：
Applicability of the Theory of Cover Models / 3.4.4：
Indeterminacy in the Cover / 3.4.5：
Instances of Cover Models for Heterogeneous Sources / 3.5：
Summary / 3.6：
Specific Advances in Steganalysis / Part II：
Detection of Model-Based Steganography with First-Order Statistics / 4：
Fundamentals of Model-Based Steganography / 4.1：
MB1: An Embedding Function for JPEG Covers / 4.2：
Detection Method / 4.3：
Experimental Validation / 4.4：
Summary and Outlook / 4.5：
Limitations and Future Directions / 4.5.1：
Possible (Short-Term) Countermeasures / 4.5.2：
Implications for More Secure Steganography / 4.5.3：
Models of Heterogeneous Covers for Quantitative Steganalysis / 5：
Metrics for Quantitative Steganalysis / 5.1：
Conventional Metrics / 5.1.1：
Improved Metrics Based on a Distribution Model / 5.1.2：
Decomposition of Estimation Errors / 5.1.3：
Measurement of Sensitivity to Cover Properties / 5.2：
Method / 5.2.1：
Modelling the Shape of the Between-Image Distribution / 5.2.2：
Modelling the Shape of the Within-Image Distribution / 5.2.3：
Summary and Conclusion / 5.3：
Improved Weighted Stego Image Steganalysis / 6：
Enhanced WS for Never-Compressed Covers / 6.1：
Enhanced Predictor / 6.1.1：
Enhanced Calculation of Weights / 6.1.2：
Enhanced Bias Correction / 6.1.3：
Experimental Results / 6.1.4：
Adaptation of WS to JPEG Pre-Compressed Covers / 6.2：
Improved Predictor / 6.2.1：
Estimation of the Cover's JPEG Compression Quality / 6.2.2：
Using Encoder Artefacts for Steganalysis of Compressed Audio Streams / 6.2.3：
MP3 Steganography and Steganalysis / 7.1：
Problem Statement in the Mixture Cover Model Framework / 7.1.1：
Level of Analysis and Related Work / 7.1.2：
Description of Features / 7.1.3：
Features Based on the Compression Size Control Mechanism / 7.2.1：
Features Based on Model Decisions / 7.2.2：
Features Based on Capability Usage / 7.2.3：
Feature Based on Stream Formatting / 7.2.4：
Experimental Results for Encoder Detection / 7.3：
Single-Compressed Audio Files / 7.3.1：
Importance of Individual Features / 7.3.2：
Influence of Double-Compression / 7.3.3：
Experimental Results for Improved Steganalysis / 7.4：
Explorative Analysis of Encoder Similarities / 7.5：
Summary and Discussion / 7.6：
Transferability to Other Formats / 7.6.1：
Related Applications / 7.6.3：
Synthesis / Part III：
General Discussion / 8：
Summary of Results / 8.1：
Results Based on Informal Arguments / 8.1.1：
Results Based on Mathematical Proofs / 8.1.2：
Results Based on Empirical Evidence / 8.1.3：
Limitations / 8.2：
Directions for Future Research / 8.3：
Theoretical Challenges / 8.3.1：
Empirical Challenges / 8.3.2：
Practical Challenges / 8.3.3：
Conclusion and Outlook / 8.4：
Description of Covers Used in the Experiments / A：
Spurious Steganalysis Results Using the 'van Hateren' Image Database / B：
Proof of Weighted Stego Image (WS) Estimator / C：
Derivation of Linear Predictor for Enhanced WS / D：
Game for Formal Security Analysis / E：
Derivation of ROC Curves and AUC Metric for Example Cover Models / F：
Supplementary Figures and Tables / G：
References
List of Tables
List of Figures
List of Acronyms
List of Symbols
List of Functions
Index
Introduction / 1：
Steganography and Steganalysis as Empirical Sciences / 1.1：
Objective and Approach / 1.2：
20.
ＥＢ
Arnold Hanslmeier
出版情報:
SpringerLink Books - AutoHoldings , Springer Netherlands, 2011
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Water on Earth, Properties of Water / 1：
The Role of Water in History / 1.1：
Water in Ancient Cultures / 1.1.1：
Modern Society and Water / 1.1.2：
The Chemical Elements Water Consists of / 1.2：
Hydrogen / 1.2.1：
Oxygen / 1.2.2：
Water, Chemical and Physical Properties / 1.3：
Chemical Properties / 1.3.1：
Physical Properties of Water / 1.3.2：
Evaporation and Condensation / 1.3.3：
Ice / 1.3.4：
Chemical Reactions and Water / 1.3.5：
Chemical Bonds / 1.4.1：
Acids and pH Value / 1.4.2：
Hydrates, Water in Crystals / 1.4.3：
Water: Spectral Signatures / 1.4.4：
The Hydrologic Cycle / 1.5：
Evaporation and Precipitation Balance / 1.5.1：
The Hydrologic Cycle and Climate Change / 1.5.2：
Life and Water / 2：
Life and Environment / 2.1：
The Importance of Water / 2.1.1：
Definition of Life / 2.1.2：
Evolution of Life / 2.1.3：
Life Under Extreme Conditions / 2.1.4：
Water and Other Solvents / 2.2：
The Importance of Solvents to Life / 2.2.1：
Other Solvents than Water / 2.2.2：
Energy for Life / 2.3：
Energy / 2.3.1：
Metabolic Diversity / 2.3.2：
Solar Energy / 2.3.3：
Photosynthesis and Respiration / 2.3.4：
Water on Planets and Dwarf Planets / 3：
Classification of Objects in the Solar System / 3.1：
Overview / 3.1.1：
Physical Parameters of Planets / 3.1.2：
Terrestrial Planets / 3.2：
Earth / 3.2.1：
Mercury / 3.2.2：
Venus / 3.2.3：
Mars / 3.2.4：
The Early Sun and Evolution of Terrestrial Planets / 3.2.5：
Dry Venus-Humid Earth-Climate Changes on Mars / 3.2.6：
Giant Planets / 3.3：
Jupiter / 3.3.1：
Saturn / 3.3.2：
Uranus / 3.3.3：
Neptune / 3.3.4：
Water on Giant Planets / 3.3.5：
Dwarf Planets / 3.4：
Pluto / 3.4.1：
Ices on Other Dwarf Planets / 3.4.2：
Satellites of Planets in the Solar System / 4：
Galilean Satellites / 4.1：
Io / 4.1.1：
Europa / 4.1.2：
Callisto / 4.1.3：
Ganymede / 4.1.4：
Satellites of Saturn / 4.2：
Titan / 4.2.1：
Other Satellites of Saturn / 4.2.3：
Satellites of Uranus and Neptune / 4.3：
The Satellites of Uranus / 4.3.1：
The Satellites of Neptune / 4.3.2：
The Earth Moon / 4.4：
Water on the Moon? / 4.4.1：
Water on Small Solar System Bodies / 5：
Clouds of Particles / 5.1：
The Kuiper Belt / 5.1.1：
The Oort Cloud / 5.1.2：
Comets / 5.2：
Early Observations / 5.2.1：
Orbital Characteristics of Comets / 5.2.2：
Physics of Comets / 5.2.3：
Collisions with Comets / 5.2.4：
Detection of Water on Comets / 5.2.5：
Asteroids / 5.3：
General Properties / 5.3.1：
Classification of Asteroids / 5.3.2：
NEOs / 5.3.3：
The Cretaceous-Tertiary Impact / 5.3.4：
Water and Ice on Asteroids / 5.3.5：
Asteroids as a Source for Water on Earth / 5.3.6：
Meteorites / 5.4：
Classification / 5.4.1：
Water in Meteorites / 5.4.3：
Water on Extrasolar Planets? / 6：
How to Detect Extrasolar Planets / 6.1：
Detection Methods / 6.1.1：
Extrasolar Planets Found by Different Detection Methods / 6.1.2：
Some Examples of Extrasolar Planets / 6.1.3：
Habitable Zones / 6.2：
Habitability / 6.2.1：
Circumstellar Habitable Zones / 6.2.2：
Galactic Habitable Zone / 6.2.3：
Habitable Zone Around Giant Planets / 6.2.4：
Dust Debris Around Stars / 6.3：
Signatures of Dust Around Stars / 6.3.1：
Dust Around Vega / 6.3.2：
Water Detection on Extrasolar Planets / 6.4：
Detection of Planetary Atmospheres / 6.4.1：
Hot Jupiters / 6.4.2：
Water on Extrasolar Planets / 6.4.3：
Some Model Calculations / 6.4.4：
Super Earth Planets / 6.4.5：
Water in Interstellar Space and Stars / 7：
Interstellar Medium / 7.1：
Physical Properties / 7.1.1：
Molecules in the Interstellar Medium / 7.1.2：
Interstellar Dust Lifecycle / 7.1.3：
Water Masers / 7.1.4：
Water in Starforming Regions / 7.2：
Clouds and Cloud Collapse / 7.2.1：
Water Signatures in Protostars / 7.2.2：
T Tauri Stars / 7.2.4：
Water Signatures in Spectra of Late Type Stars and the Sun / 7.3：
Late Type Stars and Water / 7.3.1：
Water in Sunspots? / 7.3.2：
Water in Galaxies / 7.4：
The Milky Way Galaxy / 7.4.1：
Water in the Galaxy? / 7.4.2：
Galaxy Clusters / 7.4.3：
IR-Galaxies / 7.4.5：
Water Masers in Nearby Galaxies / 7.4.6：
Mega-Masers / 7.4.7：
Water-Where Does It Come from? / 8：
The Evolution of the Universe / 8.1：
An Expanding Universe / 8.1.1：
Radiation from the Early Universe / 8.1.2：
Abundance of Elements / 8.1.3：
No Water in the Early Universe / 8.1.4：
Stellar Evolution / 8.2：
Red Giants / 8.2.1：
The Asymptotic Giant Branch / 8.2.2：
A Carbon Flash? / 8.2.3：
Post AGB Evolution / 8.2.4：
Elements Heavier than He / 8.2.5：
The Ultimate Fate of a Low Massive Star: White Dwarfs / 8.2.6：
Massive Stars / 8.3：
Main Sequence Evolution of Massive Stars / 8.3.1：
Supernova Explosion / 8.3.2：
Stellar Populations / 8.3.3：
Appendix / 9：
How to Detect Water / 9.1：
Transparency of the Earth's Atmosphere / 9.1.1：
In Situ Measurements / 9.1.2：
Spectroscopic Signatures / 9.1.3：
Satellite Missions / 9.2：
Water Detection with SWAS / 9.2.1：
IR Satellites / 9.2.2：
Future Astronomical Telescopes / 9.2.3：
Some Astrophysical Concepts / 9.3：
Apparent Magnitude / 9.3.1：
Spectral Classes / 9.3.2：
The Hertzsprung-Russell Diagram, HRD / 9.3.3：
References
Index
Water on Earth, Properties of Water / 1：
The Role of Water in History / 1.1：
Water in Ancient Cultures / 1.1.1：
21.
ＥＢ
Laura Kallmeyer
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2010
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Introduction / 1：
Formal Grammars and Natural Languages / 1.1：
Parsing Beyond CFGs / 1.2：
What This Book Is Not About / 1.3：
Overview of the Book / 1.4：
Grammar Formalisms for Natural Languages / 1.4.1：
Parsing: Preliminaries / 1.4.2：
Tree Adjoining Grammars / 1.4.3：
MCFG and LCFRS / 1.4.4：
Range Concatenation Grammars / 1.4.5：
Automata / 1.4.6：
Some Basic Definitions / 1.5：
Languages / 1.5.1：
Context-Free Grammars / 1.5.2：
Trees / 1.5.3：
Context-Free Grammars and Natural Languages / 2：
The Generative Capacity of CFGs / 2.1.1：
CFGs and Lexicalization / 2.1.2：
Mild Context-Sensitivity / 2.1.3：
Grammar Formalisms Beyond CFG / 2.2：
Linear Indexed Grammars / 2.2.1：
Linear Context-Free Rewriting Systems / 2.2.3：
Multicomponent Tree Adjoining Grammars / 2.2.4：
Multiple Context-Free Grammars / 2.2.5：
Summary / 2.2.6：
Parsing as Deduction / 3：
Motivation / 3.1.1：
Items / 3.1.2：
Deduction Rules / 3.1.3：
Implementation Issues / 3.2：
Dynamic Programming / 3.2.1：
Chart Parsing and Tabulation / 3.2.2：
Hypergraphs / 3.2.3：
Properties of Parsing Algorithms / 3.3：
Soundness and Completeness / 3.3.1：
Complexity / 3.3.2：
Valid Prefix Property / 3.3.3：
Introduction to Tree Adjoining Grammars / 3.4：
Definition of TAG / 4.1.1：
Formal Properties / 4.1.2：
Linguistic Principles for TAG / 4.1.3：
Extended Domain of Locality and Factoring of Recursion / 4.1.4：
Constituency and Dependencies / 4.1.5：
Equivalent Formalisms / 4.2：
Tree-Local MCTAG / 4.2.1：
Combinatory Categorial Grammars / 4.2.2：
Parsing Tree Adjoining Grammars / 4.3：
A CYK Parser for TAG / 5.1：
The Recognizer / 5.1.1：
An Earley Parser for TAG / 5.1.2：
Inference Rules / 5.2.1：
Extending the Algorithm to Substitution / 5.2.4：
The Parser / 5.2.5：
Properties of the Algorithm / 5.2.6：
Prefix Valid Earley Parsing / 5.2.7：
An LR Parser for TAG / 5.3：
Construction of the Automation / 5.3.1：
Multiple Context-Free Grammars and Linear Context-Free Rewriting Systems / 5.3.3：
Introduction to MCFG, LCFRS and Simple RCG / 6.1：
Applications / 6.1.1：
Set-Local Multicomponent TAG / 6.2：
Minimalist Grammars / 6.2.2：
Finite-Copying LFG / 6.2.3：
Parsing MCFG, LCFRS and Simple RCG / 6.3：
CYK Parsing of MCFG / 7.1：
The Basic Algorithm / 7.1.1：
The Naïve Algorithm / 7.1.2：
The Active Algorithm / 7.1.3：
The Incremental Algorithm / 7.1.4：
Prediction Strategies / 7.1.5：
Simplifying Simple RCGs / 7.2：
Eliminating Useless Rules / 7.2.1：
Eliminating ?-Rules / 7.2.2：
Ordered Simple RCG / 7.2.3：
Binarization of the Rules / 7.2.4：
An Incremental Earley Parser for Simple RCG / 7.3：
The Algorithm / 7.3.1：
Filters / 7.3.2：
Introduction to Range Concatenation Grammars / 7.4：
Definition of RCG / 8.1.1：
Relations to Other Formalisms / 8.1.2：
Literal Movement Grammars / 8.2.1：
CFG, TAG and MCFG / 8.2.2：
Parsing Range Concatenation Grammars / 8.3：
Basic RCG Parsing / 9.1：
CYK Parsing with Passive Items / 9.1.1：
Non-directional Top-Down Parsing / 9.1.2：
Directional Top-Down Parsing / 9.1.3：
Optimizations / 9.1.4：
Parsing with Constraint Propagation / 9.2：
Range Constraints / 9.2.1：
CYK Parsing with Active Items / 9.2.2：
Earley Parsing / 9.2.3：
Embedded Push-Down Automata / 9.3：
Definition of EPDA / 10.1.1：
EPDA and TAG / 10.1.2：
Bottom-Up Embedded Push-Down Automata / 10.1.3：
?-Order EPDA / 10.1.4：
Two-Stack Automata / 10.2：
General Definition / 10.2.1：
Strongly-Driven Two-Stack Automata / 10.2.2：
Thread Automata / 10.3：
Idea / 10.3.1：
General Definition of TA / 10.3.2：
Constructing a TA for a TAG / 10.3.3：
Constructing a TA for an Ordered SRCG / 10.3.4：
Hierarchy of Grammar Formalisms / 10.4：
List of Acronyms / Appendix B：
Solutions
References
Index
Introduction / 1：
Formal Grammars and Natural Languages / 1.1：
Parsing Beyond CFGs / 1.2：
22.
ＥＢ
Laura Kallmeyer
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2010
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Introduction / 1：
Formal Grammars and Natural Languages / 1.1：
Parsing Beyond CFGs / 1.2：
What This Book Is Not About / 1.3：
Overview of the Book / 1.4：
Grammar Formalisms for Natural Languages / 1.4.1：
Parsing: Preliminaries / 1.4.2：
Tree Adjoining Grammars / 1.4.3：
MCFG and LCFRS / 1.4.4：
Range Concatenation Grammars / 1.4.5：
Automata / 1.4.6：
Some Basic Definitions / 1.5：
Languages / 1.5.1：
Context-Free Grammars / 1.5.2：
Trees / 1.5.3：
Context-Free Grammars and Natural Languages / 2：
The Generative Capacity of CFGs / 2.1.1：
CFGs and Lexicalization / 2.1.2：
Mild Context-Sensitivity / 2.1.3：
Grammar Formalisms Beyond CFG / 2.2：
Linear Indexed Grammars / 2.2.1：
Linear Context-Free Rewriting Systems / 2.2.3：
Multicomponent Tree Adjoining Grammars / 2.2.4：
Multiple Context-Free Grammars / 2.2.5：
Summary / 2.2.6：
Parsing as Deduction / 3：
Motivation / 3.1.1：
Items / 3.1.2：
Deduction Rules / 3.1.3：
Implementation Issues / 3.2：
Dynamic Programming / 3.2.1：
Chart Parsing and Tabulation / 3.2.2：
Hypergraphs / 3.2.3：
Properties of Parsing Algorithms / 3.3：
Soundness and Completeness / 3.3.1：
Complexity / 3.3.2：
Valid Prefix Property / 3.3.3：
Introduction to Tree Adjoining Grammars / 3.4：
Definition of TAG / 4.1.1：
Formal Properties / 4.1.2：
Linguistic Principles for TAG / 4.1.3：
Extended Domain of Locality and Factoring of Recursion / 4.1.4：
Constituency and Dependencies / 4.1.5：
Equivalent Formalisms / 4.2：
Tree-Local MCTAG / 4.2.1：
Combinatory Categorial Grammars / 4.2.2：
Parsing Tree Adjoining Grammars / 4.3：
A CYK Parser for TAG / 5.1：
The Recognizer / 5.1.1：
An Earley Parser for TAG / 5.1.2：
Inference Rules / 5.2.1：
Extending the Algorithm to Substitution / 5.2.4：
The Parser / 5.2.5：
Properties of the Algorithm / 5.2.6：
Prefix Valid Earley Parsing / 5.2.7：
An LR Parser for TAG / 5.3：
Construction of the Automation / 5.3.1：
Multiple Context-Free Grammars and Linear Context-Free Rewriting Systems / 5.3.3：
Introduction to MCFG, LCFRS and Simple RCG / 6.1：
Applications / 6.1.1：
Set-Local Multicomponent TAG / 6.2：
Minimalist Grammars / 6.2.2：
Finite-Copying LFG / 6.2.3：
Parsing MCFG, LCFRS and Simple RCG / 6.3：
CYK Parsing of MCFG / 7.1：
The Basic Algorithm / 7.1.1：
The Naïve Algorithm / 7.1.2：
The Active Algorithm / 7.1.3：
The Incremental Algorithm / 7.1.4：
Prediction Strategies / 7.1.5：
Simplifying Simple RCGs / 7.2：
Eliminating Useless Rules / 7.2.1：
Eliminating ?-Rules / 7.2.2：
Ordered Simple RCG / 7.2.3：
Binarization of the Rules / 7.2.4：
An Incremental Earley Parser for Simple RCG / 7.3：
The Algorithm / 7.3.1：
Filters / 7.3.2：
Introduction to Range Concatenation Grammars / 7.4：
Definition of RCG / 8.1.1：
Relations to Other Formalisms / 8.1.2：
Literal Movement Grammars / 8.2.1：
CFG, TAG and MCFG / 8.2.2：
Parsing Range Concatenation Grammars / 8.3：
Basic RCG Parsing / 9.1：
CYK Parsing with Passive Items / 9.1.1：
Non-directional Top-Down Parsing / 9.1.2：
Directional Top-Down Parsing / 9.1.3：
Optimizations / 9.1.4：
Parsing with Constraint Propagation / 9.2：
Range Constraints / 9.2.1：
CYK Parsing with Active Items / 9.2.2：
Earley Parsing / 9.2.3：
Embedded Push-Down Automata / 9.3：
Definition of EPDA / 10.1.1：
EPDA and TAG / 10.1.2：
Bottom-Up Embedded Push-Down Automata / 10.1.3：
?-Order EPDA / 10.1.4：
Two-Stack Automata / 10.2：
General Definition / 10.2.1：
Strongly-Driven Two-Stack Automata / 10.2.2：
Thread Automata / 10.3：
Idea / 10.3.1：
General Definition of TA / 10.3.2：
Constructing a TA for a TAG / 10.3.3：
Constructing a TA for an Ordered SRCG / 10.3.4：
Hierarchy of Grammar Formalisms / 10.4：
List of Acronyms / Appendix B：
Solutions
References
Index
Introduction / 1：
Formal Grammars and Natural Languages / 1.1：
Parsing Beyond CFGs / 1.2：
23.
図書
Ulf Leonhardt
出版情報:
Cambridge : Cambridge University Press, 2010 xii, 277 p. ; 26 cm
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Acknowledgements
Introduction / 1：
A note to the reader / 1.1：
Quantum theory / 1.2：
Axioms / 1.2.1：
Quantum statistics / 1.2.2：
Schrödinger and Heisenberg pictures / 1.2.3：
On the questions and homework problems / 1.3：
Further reading / 1.4：
Quantum field theory of light / 2：
Light in media / 2.1：
Maxwell's equations / 2.1.1：
Quantum commutator / 2.1.2：
Light modes / 2.2：
Modes and their scalar product / 2.2.1：
Bose commutation relations / 2.2.2：
Interference / 2.2.3：
Monochromatic modes / 2.2.4：
Zero-point energy and Casimir force / 2.3：
An attractive cavity / 2.3.1：
Reflections / 2.3.2：
Questions / 2.4：
Homework problem / 2.5：
Simple quantum states of light / 2.6：
The electromagnetic oscillator / 3.1：
Single-mode states / 3.2：
Quadrature states / 3.2.1：
Fock states / 3.2.2：
Thermal states / 3.2.3：
Coherent states / 3.2.4：
Uncertainty and squeezing / 3.3：
Quasiprobability distributions / 3.4：
Wigner representation / 4.1：
Wigner's formula / 4.1.1：
Basic properties / 4.1.2：
Examples / 4.1.3：
Other quasiprobability distributions / 4.2：
Q function / 4.2.1：
P function / 4.2.2：
s-parameterized quasiprobability distributions / 4.2.3：
Simple optical instruments / 4.3：
Beam splitter / 5.1：
Heisenberg picture / 5.1.1：
Schrödinger picture / 5.1.2：
Fock representation and wave-particle dualism / 5.1.3：
Detection / 5.2：
Photodetector / 5.2.1：
Balanced homodyne detection / 5.2.2：
Quantum tomography / 5.2.3：
Simultaneous measurement of conjugate variables / 5.2.4：
Irrevesible processes / 5.3：
Lindblad's theorem / 6.1：
Irreversibility / 6.1.1：
Reversible dynamics / 6.1.2：
Irreversible dynamics / 6.1.3：
Loss and gain / 6.2：
Absorption and amplification / 6.2.1：
Absorber / 6.2.2：
Amplifier / 6.2.3：
Eavesdropper / 6.2.4：
Continuous quantum measurements / 6.3：
Entanglement / 6.4：
Parametric amplifier / 7.1：
Einstein-Podolski-Rosen state / 7.1.1：
Quantum teleportation / 7.1.4：
Polarization correlations / 7.2：
Singlet state / 7.2.1：
Polarization / 7.2.2：
Bell's theorem / 7.2.3：
Horizons / 7.3：
Minkowski space / 8.1：
Locality and relativity / 8.1.1：
Space-time geometry / 8.1.2：
Light / 8.1.3：
Accelerated observers / 8.2：
Rindler coordinates / 8.2.1：
Accelerated modes / 8.2.2：
Unruh effect / 8.2.3：
Moving media / 8.3：
Motivation / 8.3.1：
Trans-Planckian problem / 8.3.2：
Light in moving media / 8.3.3：
Geometry of light / 8.3.4：
Hawking radiation / 8.3.5：
Stress of the quantum vacuum / 8.4：
State reconstruction in quantum mechanics / Appendix B：
References
Index
Irreversible processes
Appendixes
Acknowledgements
Introduction / 1：
A note to the reader / 1.1：
24.
ＥＢ
Xu Ma, Gonzalo R. Arce
出版情報:
Wiley Online Library - AutoHoldings Books , John Wiley & Sons, Incorporated, 2010
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Preface
Acknowledgments
Acronyms
Introduction / 1：
Optical Lithography / 1.1：
Optical Lithography and Integrated Circuits / 1.1.1：
Brief History of Optical Lithography Systems / 1.1.2：
Rayleigh's Resolution / 1.2：
Resist Processes and Characteristics / 1.3：
Techniques in Computational Lithography / 1.4：
Optical Proximity Correction / 1.4.1：
Phase-Shifting Masks / 1.4.2：
Off-Axis Illumination / 1.4.3：
Second-Generation RETs / 1.4.4：
Outline / 1.5：
Optical Lithography Systems / 2：
Partially Coherent Imaging Systems / 2.1：
Abbe's Model / 2.1.1：
Hopkins Diffraction Model / 2.1.2：
Coherent and Incoherent Imaging Systems / 2.1.3：
Approximation Models / 2.2：
Fourier Series Expansion Model / 2.2.1：
Singular Value Decomposition Model / 2.2.2：
Average Coherent Approximation Model / 2.2.3：
Discussion and Comparison / 2.2.4：
Summary / 2.3：
Rule-Based Resolution Enhancement Techniques / 3：
RET Types / 3.1：
Rule-Based RETs / 3.1.1：
Model-Based RETs / 3.1.2：
Hybrid RETs / 3.1.3：
Rule-Based OPC / 3.2：
Catastrophic OPC / 3.2.1：
One-Dimensional OPC / 3.2.2：
Line-Shortening Reduction OPC / 3.2.3：
Two-Dimensional OPC / 3.2.4：
Rule-Based PSM / 3.3：
Dark-Field Application / 3.3.1：
Light-Field Application / 3.3.2：
Rule-Based OAI / 3.4：
Fundamentals of Optimization / 3.5：
Definition and Classification / 4.1：
Definitions in the Optimization Problem / 4.1.1：
Classification of Optimization Problems / 4.1.2：
Unconstrained Optimization / 4.2：
Solution of Unconstrained Optimization Problem / 4.2.1：
Unconstrained Optimization Algorithms / 4.2.2：
Computational Lithography with Coherent Illumination / 4.3：
Problem Formulation / 5.1：
OPC Optimization / 5.2：
OPC Design Algorithm / 5.2.1：
Simulations / 5.2.2：
Two-Phase PSM Optimization / 5.3：
Two-Phase PSM Design Algorithm / 5.3.1：
Generalized PSM Optimization / 5.3.2：
Generalized PSM Design Algorithm / 5.4.1：
Resist Modeling Effects / 5.4.2：
Regularization Framework / 5.6：
Discretization Penalty / 6.1：
Discretization Penalty for OPC Optimization / 6.1.1：
Discretization Penalty for Two-Phase PSM Optimization / 6.1.2：
Discretization Penalty for Generalized PSM Optimization / 6.1.3：
Complexity Penalty / 6.2：
Total Variation Penalty / 6.2.1：
Global Wavelet Penalty / 6.2.2：
Localized Wavelet Penalty / 6.2.3：
Computational Lithography with Partially Coherent Illumination / 6.3：
OPC Design Algorithm Using the Fourier Series Expansion Model / 7.1：
Simulations Using the Fourier Series Expansion Model / 7.1.2：
OPC Design Algorithm Using the Average Coherent Approximation Model / 7.1.3：
Simulations Using the Average Coherent Approximation Model / 7.1.4：
PSM Optimization / 7.1.5：
PSM Design Algorithm Using the Singular Value Decomposition Model / 7.2.1：
Discretization Regularization for PSM Design Algorithm / 7.2.2：
Other RET Optimization Techniques / 7.2.3：
Double-Patterning Method / 8.1：
Post-Processing Based on 2D DCT / 8.2：
Photoresist Tone Reversing Method / 8.3：
Source and Mask Optimization / 8.4：
Lithography Preliminaries / 9.1：
Topological Constraint / 9.2：
Source-Mask Optimization Algorithm / 9.3：
Coherent Thick-Mask Optimization / 9.4：
Kirchhoff Boundary Conditions / 10.1：
Boundary Layer Model / 10.2：
Boundary Layer Model in Coherent Imaging Systems / 10.2.1：
Boundary Layer Model in Partially Coherent Imaging Systems / 10.2.2：
OPC Optimization Algorithm Based on BL Model Under Coherent Illumination / 10.3：
PSM Optimization Algorithm Based on BL Model Under Coherent Illumination / 10.4.3：
Conclusions and New Directions of Computational Lithography / 10.5.3：
Conclusion / 11.1：
New Directions of Computational Lithography / 11.2：
OPC Optimization for the Next-Generation Lithography Technologies / 11.2.1：
Initialization Approach for the Inverse Lithography Optimization / 11.2.2：
Double Patterning and Double Exposure Methods in Partially Coherent Imaging System / 11.2.3：
OPC and PSM Optimizations for Inverse Lithography Based on Rigorous Mask Models in Partially Coherent Imaging System / 11.2.4：
Simultaneous Source and Mask Optimization for Inverse Lithography Based on Rigorous Mask Models / 11.2.5：
Investigation of Factors Influencing the Complexity of the OPC and PSM Optimization Algorithms / 11.2.6：
Formula Derivation in Chapter 5 / Appendix A：
Manhattan Geometry / Appendix B：
Formula Derivation in Chapter 6 / Appendix C：
Formula Derivation in Chapter 7 / Appendix D：
Formula Derivation in Chapter 8 / Appendix E：
Formula Derivation in Chapter 9 / Appendix F：
Formula Derivation in Chapter 10 / Appendix G：
Software Guide / Appendix H：
References
Index
Preface
Acknowledgments
Acronyms
25.
ＥＢ
Mathias Kolle
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Introduction / 1：
References
Theoretical Aspects of Photonic Structures / 2：
Reflection and Refraction at Optical Interfaces / 2.1：
Thin Film Interference / 2.2：
Multilayer Reflectivity / 2.3：
Qualitative Analysis of Multilayer Interference / 2.3.1：
Quantitative Analysis of Multilayer Interference / 2.3.2：
Band-Gaps of One-Dimensional Photonic Crystals / 2.4：
Multilayer Resonance Cavities / 2.5：
Diffraction from Periodic Surface Structures / 2.6：
Diffraction in the Fraunhofer Approximation / 2.6.1：
Finite-Difference Time-Domain Modelling of Diffraction / 2.6.2：
Structural Colours in Nature / 3：
Structural Colours in the Animal Kingdom / 3.1：
Simple Multilayers: The Japanese Jewel Beetle / 3.1.1：
Complex Multilayer Arrangements in Butterfly and Moth Structures / 3.1.2：
Floral Diffractive Structures / 3.2：
Diffraction and Iridescence from Striations on Flower Petals / 3.2.1：
Near-UV Reflectivity Enhancement by Grating-Like Striations / 3.2.2：
Conclusion / 3.3：
Materials and Techniques / 4：
Materials / 4.1：
Polymer Materials / 4.1.1：
Metal Oxides / 4.1.2：
Techniques: Multilayer Production / 4.2：
Sequential Spin-Coating / 4.2.1：
Floating and Stacking / 4.2.2：
Atomic Layer Deposition / 4.2.3：
Techniques: Pattern Creation and Transfer / 4.3：
Colloid Templating / 4.3.1：
Argon Ion Milling / 4.3.2：
Nano-Imprint Lithography / 4.3.3：
Dental Wax Casting / 4.3.4：
Techniques: Sample Characterisation / 4.4：
Gonio-Spectroscopy / 4.4.1：
Micro-Spectroscopy / 4.4.2：
Ellipsometry / 4.4.3：
Static and Tuneable One-Dimensional Photonic Structures / 5：
Static One-Dimensional Optical Devices / 5.1：
Organic Bragg Reflectors / 5.1.1：
Organic Resonance Cavities / 5.1.2：
Stretch-tuneable Dielectric Mirrors and Optical Microcavities / 5.2：
Sample Preparation and Experimental Setup / 5.2.1：
Cavity Design and Modelling / 5.2.2：
Results and Discussions / 5.2.3：
Microfabrication of Photonic Structures with Higher Dimensionality / 5.3：
Template-Assisted Ion Milling / 6.1：
The Ion Milling Template / 6.1.1：
Micro-Cones / 6.1.2：
Gold Crowns on Micro-Cones / 6.1.3：
Multilayer Patterning by Ion Milling / 6.1.4：
Nano-Imprinting of Photonic Structures / 6.2：
Imprinting with Micro-Cone Masters / 6.2.1：
Replication of Micro-Cones for Flexible Cell Substrates / 6.2.2：
Fabrication of an Imprint Master for the Replication of Butterfly Wing Scale Patterns / 6.2.3：
Multilayer Patterning by Nano-Imprinting / 6.2.4：
Atomic Layer Deposition on Structured Substrates / 6.3：
Mimicry of Papilio Blumei's Colourful Wing Scale Structure / 6.4：
The Role Model / 7.1：
The Replication Procedure / 7.2：
A Structural Replica / 7.3：
A Structurally Modified Replica with Enhanced Optical Performance / 7.4：
Conclusions and Future Work / 7.5：
Summary / 8.1：
Future Work / 8.2：
Curriculum Vitae
Introduction / 1：
References
Theoretical Aspects of Photonic Structures / 2：
26.
ＥＢ
Roberto Baragona, Francesco Battaglia, Irene Poli
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Introduction / 1：
Bio-inspired Optimization Methods / 1.1：
Topics Organization / 1.2：
Evolutionary Computation / 2：
Evolutionary Computation Between Artificial Intelligence and Natural Evolution / 2.1：
The Contribution of Genetics / 2.1.2：
Evolutionary Computation Methods / 2.2：
Essential Properties / 2.2.1：
Evolutionary Programming / 2.2.2：
Evolution Strategies / 2.2.3：
Genetic Algorithms / 2.2.4：
Estimation of Distribution Algorithms / 2.2.5：
Differential Evolution / 2.2.6：
Evolutionary Behavior Algorithms / 2.2.7：
A Simple Example of Evolutionary Computation / 2.2.8：
Properties of Genetic Algorithms / 2.3：
Genetic Algorithms as a Paradigm of Evolutionary Computation / 2.3.1：
Evolution of Genetic Algorithms / 2.3.2：
Convergence of Genetic Algorithms / 2.3.3：
Issues in the Implementation of Genetic Algorithms / 2.3.4：
Genetic Algorithms and Random Sampling from a Probability Distribution / 2.3.5：
Evolving Regression Models / 3：
Identification / 3.1：
Linear Regression / 3.2.1：
Generalized Linear Models / 3.2.2：
Principal Component Analysis / 3.2.3：
Parameter Estimation / 3.3：
Regression Models / 3.3.1：
The Logistic Regression Model / 3.3.2：
Independent Component Analysis / 3.4：
ICA algorithms / 3.4.1：
Simple GAs for ICA / 3.4.2：
GAs for Nonlinear ICA / 3.4.3：
Time Series Linear and Nonlinear Models / 4：
Models of Time Series / 4.1：
Autoregressive Moving Average Models / 4.2：
Identification of ARMA Models by Genetic Algorithms / 4.2.1：
More General Models / 4.2.2：
Nonlinear Models / 4.3：
Threshold AR and Double Threshold GARCH Models / 4.3.1：
Exponential Models / 4.3.2：
Piecewise Linear Models / 4.3.3：
Bilinear Models / 4.3.4：
Real Data Applications / 4.3.5：
Artificial Neural Networks / 4.3.6：
Design of Experiments / 5：
Experiments and Design of Experiments / 5.1：
Randomization, Replication and Blocking / 5.2.1：
Factorial Designs and Response Surface Methodology / 5.2.2：
The Evolutionary Design of Experiments / 5.3：
High-Dimensionality Search Space / 5.3.1：
The Evolutionary Approach to Design Experiments / 5.3.2：
The Genetic Algorithm Design (GA-Design) / 5.3.3：
The Evolutionary Model-Based Experimental Design: The Statistical Models in the Evolution / 5.4：
The Evolutionary Neural Network Design (ENN-Design) / 5.4.1：
The Model Based Genetic Algorithm Design (MGA-Design) / 5.4.2：
The Evolutionary Bayesian Network Design (EBN-Design) / 5.4.3：
Outliers / 6：
Outliers in Independent Data / 6.1：
Exploratory Data Analysis for Multiple Outliers Detection / 6.1.1：
Genetic Algorithms for Detecting Outliers in an i.i.d. Data Set / 6.1.2：
Outliers in Time Series / 6.2：
Univariate ARIMA Models / 6.2.1：
Multivariate Time Series Outlier Models / 6.2.2：
Genetic Algorithms for Multiple Outlier Detection / 6.3：
Detecting Multiple Outliers in Univariate Time Series / 6.3.1：
Genetic Algorithms for Detecting Multiple Outliers in Multivariate Time Series / 6.3.2：
An Example of Application to Real Data / 6.3.3：
Cluster Analysis / 7：
The Partitioning Problem / 7.1：
Classification / 7.1.1：
Algorithms for Clustering Data / 7.1.2：
Indexes of Cluster Validity / 7.1.3：
Genetic Clustering Algorithms / 7.2：
A Genetic Divisive Algorithm / 7.2.1：
Quick Partition Genetic Algorithms / 7.2.2：
Centroid Evolution Algorithms / 7.2.3：
The Grouping Genetic Algorithm / 7.2.4：
Genetic Clustering of Large Data Sets / 7.2.5：
Fuzzy Partition / 7.3：
The Fuzzy c-Means Algorithm / 7.3.1：
Genetic Fuzzy Partition Algorithms / 7.3.2：
Multivariate Mixture Models Estimation by Evolutionary Computing / 7.4：
Genetic Multivariate Mixture Model Estimates / 7.4.1：
Hybrid Genetic Algorithms and the EM Algorithm / 7.4.2：
Multivariate Mixture Model Estimates with Unknown Number of Mixtures / 7.4.3：
Genetic Algorithms in Classification and Regression Trees Models / 7.5：
Clusters of Time Series and Directional Data / 7.6：
GAs-Based Methods for Clustering Time Series Data / 7.6.1：
GAs-Based Methods for Clustering Directional Data / 7.6.2：
Multiobjective Genetic Clustering / 7.7：
Pareto Optimality / 7.7.1：
Multiobjective Genetic Clustering Outline / 7.7.2：
References
Index
Introduction / 1：
Bio-inspired Optimization Methods / 1.1：
Topics Organization / 1.2：
27.
ＥＢ
Shaogang Gong, Tao Xiang
出版情報:
Springer eBooks Computer Science , Springer London, 2011
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Introduction / Part I：
About Behaviour / 1：
Understanding Behaviour / 1.1：
Representation and Modelling / 1.1.1：
Detection and Classification / 1.1.2：
Prediction and Association / 1.1.3：
Opportunities / 1.2：
Visual Surveillance / 1.2.1：
Video Indexing and Search / 1.2.2：
Robotics and Healthcare / 1.2.3：
Interaction, Animation and Computer Games / 1.2.4：
Challenges / 1.3：
Complexity / 1.3.1：
Uncertainty / 1.3.2：
The Approach / 1.4：
References
Behaviour in Context / 2：
Facial Expression / 2.1：
Body Gesture / 2.2：
Human Action / 2.3：
Human Intent / 2.4：
Group Activity / 2.5：
Crowd Behaviour / 2.6：
Distributed Behaviour / 2.7：
Holistic Awareness: Connecting the Dots / 2.8：
Towards Modelling Behaviour / 3：
Behaviour Representation / 3.1：
Object-Based Representation / 3.1.1：
Part-Based Representation / 3.1.2：
Pixel-Based Representation / 3.1.3：
Event-Based Representation / 3.1.4：
Probabilistic Graphical Models / 3.2：
Static Bayesian Networks / 3.2.1：
Dynamic Bayesian Networks / 3.2.2：
Probabilistic Topic Models / 3.2.3：
Learning Strategies / 3.3：
Supervised Learning / 3.3.1：
Unsupervised Learning / 3.3.2：
Semi-supervised Learning / 3.3.3：
Weakly Supervised Learning / 3.3.4：
Active Learning / 3.3.5：
Sing-Object Behaviour / Part II：
Understanding Facial Expression / 4：
Classification of Images / 4.1：
Local Binary Patterns / 4.1.1：
Designing Classifiers / 4.1.2：
Feature Selection by Boosting / 4.1.3：
Manifold and Temporal Modelling / 4.2：
Locality Preserving Projections / 4.2.1：
Bayesian Temporal Models / 4.2.2：
Discussion / 4.3：
Modelling Gesture / 5：
Tracking Gesture / 5.1：
Motion Moment Trajectory / 5.1.1：
2D Colour-Based Tracking / 5.1.2：
Bayesian Association / 5.1.3：
3D Model-Based Tracking / 5.1.4：
Segmentation and Atomic Action / 5.2：
Temporal Segmentation / 5.2.1：
Atomic Actions / 5.2.2：
Markov Processes / 5.3：
Affective State Analysis / 5.4：
Space-Time Interest Points / 5.4.1：
Expression and Gesture Correlation / 5.4.2：
Action Recognition / 5.5：
Human Silhouette / 6.1：
Hidden Conditional Random Fields / 6.2：
HCRF Potential Function / 6.2.1：
Observable HCRF / 6.2.2：
Space-Time Clouds / 6.3：
Clouds of Space-Time Interest Points / 6.3.1：
Joint Local and Global Feature Representation / 6.3.2：
Localisation and Detection / 6.4：
Tracking Salient Points / 6.4.1：
Automated Annotation / 6.4.2：
Group Behaviour / 6.5：
Supervised Learning of Group Activity / 7：
Contextual Events / 7.1：
Seeding Event: Measuring Pixel-Change-History / 7.1.1：
Classification of Contextual Events / 7.1.2：
Activity Segmentation / 7.2：
Semantic Content Extraction / 7.2.1：
Semantic Video Segmentation / 7.2.2：
Correlations of Temporal Processes / 7.3：
Behavioural Interpretation of Activities / 7.3.2：
Unsupervised Behaviour Profiling / 7.4：
Off-line Behaviour Profile Discovery / 8.1：
Behaviour Patterns / 8.1.1：
Behaviour Profiling by Data Mining / 8.1.2：
Behaviour Affinity Matrix / 8.1.3：
Eigendecomposition / 8.1.4：
Model Order Selection / 8.1.5：
Quantifying Eigenvector Relevance / 8.1.6：
On-line Anomaly Detection / 8.2：
A Composite Behaviour Model / 8.2.1：
Run-Time Anomaly Measure / 8.2.2：
On-line Likelihood Ratio Test / 8.2.3：
On-line Incremental Behaviour Modelling / 8.3：
Model Bootstrapping / 8.3.1：
Incremental Parameter Update / 8.3.2：
Model Structure Adaptation / 8.3.3：
Hierarchical Behaviour Discovery / 8.4：
Local Motion Events / 9.1：
Markov Clustering Topic Model / 9.2：
Off-line Model Learning by Gibbs Sampling / 9.2.1：
On-line Video Saliency Inference / 9.2.2：
On-line Video Screening / 9.3：
Model Complexity Control / 9.4：
Semi-supervised Learning of Behavioural Saliency / 9.5：
Learning Behavioural Context / 9.6：
Spatial Context / 10.1：
Behaviour-Footprint / 10.1.1：
Semantic Scene Decompostion / 10.1.2：
Correlational and Temporal Context / 10.2：
Learning Regional Context / 10.2.1：
Learning Global Context / 10.2.2：
Context-Aware Anomly Detection / 10.3：
Modelling Rare and Subtle Behaviours / 10.4：
Weakly Supervised Joint Topic Model / 11.1：
Model Structure / 11.1.1：
Model Parameters / 11.1.2：
On-line Behaviour Classification / 11.2：
Localisation of Rare Behaviour / 11.3：
Man in the Loop / 11.4：
Active Behaviour Learning Strategy / 12.1：
Local Block-Based Behaviour / 12.2：
Bayesian Classification / 12.3：
Query Criteria / 12.4：
Likelihood Criterion / 12.4.1：
Uncertainty Criterion / 12.4.2：
Adaptive Query Selection / 12.5：
Multi-camera Behaviour Correlation / 12.6：
Multi-view Activity Representation / 13.1：
Local Bivariate Time-Series Events / 13.1.1：
Activity-Based Scene Decomposition / 13.1.2：
Learning Pair-Wise Correlation / 13.2：
Cross Canonical Correlation Analysis / 13.2.1：
Time-Delayed Mutual Information Analysis / 13.2.2：
Multi-camera Topology Inference / 13.3：
Person Re-identification / 13.4：
Re-identification by Ranking / 14.1：
Support Vector Ranking / 14.1.1：
Scalability and Complexity / 14.1.2：
Ensemble Rank SVM / 14.1.3：
Context-Aware Search / 14.2：
Connecting the Dots / 14.3：
Global Behaviour Segmentation / 15.1：
Bayesian Behaviour Graphs / 15.2：
A Time-Delayed Probalistic Graphical Model / 15.2.1：
Bayesian Graph Structure Learning / 15.2.2：
Bayesian Graph Parameter Learning / 15.2.3：
Cumulative Anomaly Score / 15.2.4：
Incremental Model Structure Learning / 15.2.5：
Global Awareness / 15.3：
Time-Ordered Latent Dirichlet Allocation / 15.3.1：
On-line Prediction and Anomaly Detection / 15.3.2：
Epilogue / 15.4：
Index
Introduction / Part I：
About Behaviour / 1：
Understanding Behaviour / 1.1：
28.
ＥＢ
Shaogang Gong, Tao Xiang
出版情報:
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Introduction / Part I：
About Behaviour / 1：
Understanding Behaviour / 1.1：
Representation and Modelling / 1.1.1：
Detection and Classification / 1.1.2：
Prediction and Association / 1.1.3：
Opportunities / 1.2：
Visual Surveillance / 1.2.1：
Video Indexing and Search / 1.2.2：
Robotics and Healthcare / 1.2.3：
Interaction, Animation and Computer Games / 1.2.4：
Challenges / 1.3：
Complexity / 1.3.1：
Uncertainty / 1.3.2：
The Approach / 1.4：
References
Behaviour in Context / 2：
Facial Expression / 2.1：
Body Gesture / 2.2：
Human Action / 2.3：
Human Intent / 2.4：
Group Activity / 2.5：
Crowd Behaviour / 2.6：
Distributed Behaviour / 2.7：
Holistic Awareness: Connecting the Dots / 2.8：
Towards Modelling Behaviour / 3：
Behaviour Representation / 3.1：
Object-Based Representation / 3.1.1：
Part-Based Representation / 3.1.2：
Pixel-Based Representation / 3.1.3：
Event-Based Representation / 3.1.4：
Probabilistic Graphical Models / 3.2：
Static Bayesian Networks / 3.2.1：
Dynamic Bayesian Networks / 3.2.2：
Probabilistic Topic Models / 3.2.3：
Learning Strategies / 3.3：
Supervised Learning / 3.3.1：
Unsupervised Learning / 3.3.2：
Semi-supervised Learning / 3.3.3：
Weakly Supervised Learning / 3.3.4：
Active Learning / 3.3.5：
Sing-Object Behaviour / Part II：
Understanding Facial Expression / 4：
Classification of Images / 4.1：
Local Binary Patterns / 4.1.1：
Designing Classifiers / 4.1.2：
Feature Selection by Boosting / 4.1.3：
Manifold and Temporal Modelling / 4.2：
Locality Preserving Projections / 4.2.1：
Bayesian Temporal Models / 4.2.2：
Discussion / 4.3：
Modelling Gesture / 5：
Tracking Gesture / 5.1：
Motion Moment Trajectory / 5.1.1：
2D Colour-Based Tracking / 5.1.2：
Bayesian Association / 5.1.3：
3D Model-Based Tracking / 5.1.4：
Segmentation and Atomic Action / 5.2：
Temporal Segmentation / 5.2.1：
Atomic Actions / 5.2.2：
Markov Processes / 5.3：
Affective State Analysis / 5.4：
Space-Time Interest Points / 5.4.1：
Expression and Gesture Correlation / 5.4.2：
Action Recognition / 5.5：
Human Silhouette / 6.1：
Hidden Conditional Random Fields / 6.2：
HCRF Potential Function / 6.2.1：
Observable HCRF / 6.2.2：
Space-Time Clouds / 6.3：
Clouds of Space-Time Interest Points / 6.3.1：
Joint Local and Global Feature Representation / 6.3.2：
Localisation and Detection / 6.4：
Tracking Salient Points / 6.4.1：
Automated Annotation / 6.4.2：
Group Behaviour / 6.5：
Supervised Learning of Group Activity / 7：
Contextual Events / 7.1：
Seeding Event: Measuring Pixel-Change-History / 7.1.1：
Classification of Contextual Events / 7.1.2：
Activity Segmentation / 7.2：
Semantic Content Extraction / 7.2.1：
Semantic Video Segmentation / 7.2.2：
Correlations of Temporal Processes / 7.3：
Behavioural Interpretation of Activities / 7.3.2：
Unsupervised Behaviour Profiling / 7.4：
Off-line Behaviour Profile Discovery / 8.1：
Behaviour Patterns / 8.1.1：
Behaviour Profiling by Data Mining / 8.1.2：
Behaviour Affinity Matrix / 8.1.3：
Eigendecomposition / 8.1.4：
Model Order Selection / 8.1.5：
Quantifying Eigenvector Relevance / 8.1.6：
On-line Anomaly Detection / 8.2：
A Composite Behaviour Model / 8.2.1：
Run-Time Anomaly Measure / 8.2.2：
On-line Likelihood Ratio Test / 8.2.3：
On-line Incremental Behaviour Modelling / 8.3：
Model Bootstrapping / 8.3.1：
Incremental Parameter Update / 8.3.2：
Model Structure Adaptation / 8.3.3：
Hierarchical Behaviour Discovery / 8.4：
Local Motion Events / 9.1：
Markov Clustering Topic Model / 9.2：
Off-line Model Learning by Gibbs Sampling / 9.2.1：
On-line Video Saliency Inference / 9.2.2：
On-line Video Screening / 9.3：
Model Complexity Control / 9.4：
Semi-supervised Learning of Behavioural Saliency / 9.5：
Learning Behavioural Context / 9.6：
Spatial Context / 10.1：
Behaviour-Footprint / 10.1.1：
Semantic Scene Decompostion / 10.1.2：
Correlational and Temporal Context / 10.2：
Learning Regional Context / 10.2.1：
Learning Global Context / 10.2.2：
Context-Aware Anomly Detection / 10.3：
Modelling Rare and Subtle Behaviours / 10.4：
Weakly Supervised Joint Topic Model / 11.1：
Model Structure / 11.1.1：
Model Parameters / 11.1.2：
On-line Behaviour Classification / 11.2：
Localisation of Rare Behaviour / 11.3：
Man in the Loop / 11.4：
Active Behaviour Learning Strategy / 12.1：
Local Block-Based Behaviour / 12.2：
Bayesian Classification / 12.3：
Query Criteria / 12.4：
Likelihood Criterion / 12.4.1：
Uncertainty Criterion / 12.4.2：
Adaptive Query Selection / 12.5：
Multi-camera Behaviour Correlation / 12.6：
Multi-view Activity Representation / 13.1：
Local Bivariate Time-Series Events / 13.1.1：
Activity-Based Scene Decomposition / 13.1.2：
Learning Pair-Wise Correlation / 13.2：
Cross Canonical Correlation Analysis / 13.2.1：
Time-Delayed Mutual Information Analysis / 13.2.2：
Multi-camera Topology Inference / 13.3：
Person Re-identification / 13.4：
Re-identification by Ranking / 14.1：
Support Vector Ranking / 14.1.1：
Scalability and Complexity / 14.1.2：
Ensemble Rank SVM / 14.1.3：
Context-Aware Search / 14.2：
Connecting the Dots / 14.3：
Global Behaviour Segmentation / 15.1：
Bayesian Behaviour Graphs / 15.2：
A Time-Delayed Probalistic Graphical Model / 15.2.1：
Bayesian Graph Structure Learning / 15.2.2：
Bayesian Graph Parameter Learning / 15.2.3：
Cumulative Anomaly Score / 15.2.4：
Incremental Model Structure Learning / 15.2.5：
Global Awareness / 15.3：
Time-Ordered Latent Dirichlet Allocation / 15.3.1：
On-line Prediction and Anomaly Detection / 15.3.2：
Epilogue / 15.4：
Index
Introduction / Part I：
About Behaviour / 1：
Understanding Behaviour / 1.1：
29.
ＥＢ
Sylvie Pommier, Anthony Gravouil, Alain Combescure, Nicolas Moes
出版情報:
Wiley Online Library - AutoHoldings Books , Wiley-ISTE, 2011
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Foreword
Acknowledgements
List of Symbols
Introduction
Elementary Concepts of Fracture Mechanics / Chapter 1：
Superposition principle / 1.1：
Modes of crack straining / 1.3：
Singular fields at cracking point / 1.4：
Asymptotic solutions in Mode I / 1.4.1：
Asymptotic solutions in Mode II / 1.4.2：
Asymptotic solutions in Mode III / 1.4.3：
Conclusions / 1.4.4：
Crack propagation criteria / 1.5：
Local criterion / 1.5.1：
Energy criterion / 1.5.2：
Energy release rate G / 1.5.2.1：
Relationship between G and stress intensity factors / 1.5.2.2：
How the crack is propagated / 1.5.2.3：
Propagation velocity / 1.5.2.4：
Direction of crack propagation / 1.5.2.5：
Representation of Fixed and Moving Discontinuities / Chapter 2：
Geometric representation of a crack: a scale problem / 2.1：
Link between the geometric representation of the crack and the crack model / 2.1.1：
Link between the geometric representation of the crack and the numerical method used for crack growth simulation / 2.1.2：
Crack representation by level sets / 2.2：
Definition of level sets / 2.2.1：
Level sets discretization / 2.2.3：
Initialization of level sets / 2.2.4：
Simulation of the geometric propagation of a crack / 2.3：
Some examples of strategies for crack propagation simulation / 2.3.1：
Crack propagation modeled by level sets / 2.3.2：
Numerical methods dedicated to level set propagation / 2.3.3：
Prospects of the geometric representation of cracks / 2.4：
Extended Finite Element Method X-FEM / Chapter 3：
Going back to discretization methods / 3.1：
Formulation of the problem and notations / 3.2.1：
The Rayleigh-Ritz approximation / 3.2.2：
Finite element method / 3.2.3：
Meshless methods / 3.2.4：
The partition of unity / 3.2.5：
X-FEM discontinuity modeling / 3.3：
Introduction, case of a cracked bar / 3.3.1：
Case a: crack positioned on a node / 3.3.1.1：
Case b: crack between two nodes / 3.3.1.2：
Variants / 3.3.2：
Extension to two-dimensional and three-dimensional cases / 3.3.3：
Level sets within the framework of the eXtended finite element method / 3.3.4：
Technical and mathematical aspects / 3.4：
Integration / 3.4.1：
Conditioning / 3.4.2：
Evaluation of the stress intensity factors / 3.5：
The Eshelby tensor and the J integral / 3.5.1：
Interaction integrals / 3.5.2：
Considering volumic forces / 3.5.3：
Considering thermal loading / 3.5.4：
Non-linear Problems, Crack Growth by Fatigue / Chapter 4：
Fatigue and non-linear fracture mechanics / 4.1：
Mechanisms of crack growth by fatigue / 4.2.1：
Macroscopic crack growth rate and striation formation / 4.2.1.1：
Fatigue crack growth rate of long cracks, Paris law / 4.2.1.4：
Brief conclusions / 4.2.1.5：
Confined plasticity and consequences for crack growth / 4.2.2：
Irwin's plastic zones / 4.2.2.1：
Role of the T stress / 4.2.2.2：
Role of material hardening / 4.2.2.3：
Cyclic plasticity / 4.2.2.4：
Effect of residual stress on crack propagation / 4.2.2.5：
eXtended constitutive law / 4.3：
Scale-up method for fatigue crack growth / 4.3.1：
Procedure / 4.3.1.1：
Scaling / 4.3.1.2：
Assessment / 4.3.1.3：
Damage law / 4.3.2：
Plasticity threshold / 4.3.2.2：
Plastic flow rule / 4.3.2.3：
Evolution law of the center of the elastic domain / 4.3.2.4：
Model parameters / 4.3.2.5：
Comparisons / 4.3.2.6：
Applications / 4.4：
Mode I crack growth under variable loading / 4.4.1：
Effect of the T stress / 4.4.2：
Applications: Numerical Simulation of Crack Growth / Chapter 5：
Energy conservation: an essential ingredient / 5.1：
Proof of energy conservation / 5.1.1：
X-FEM approach / 5.1.1.1：
Cohesive zone models / 5.1.1.2：
Energy conservation for adaptive cohesive zones / 5.1.1.3：
Case where the material behavior depends on history / 5.1.2：
Examples of crack growth by fatigue simulations / 5.2：
Calculation of linear fatigue crack growth simulation / 5.2.1：
Two-dimensional fatigue tests / 5.2.2：
Test-piece CTS: crack growth in mode 1 / 5.2.2.1：
Arcan test piece: crack growth in mixed mode / 5.2.2.2：
Three-dimensional fatigue cracks Propavanfiss project / 5.2.3：
Internal crack growth rate / 5.2.3.1：
Propagation of corner cracks / 5.2.4：
Dynamic fracture simulation / 5.3：
Effects of crack speed a and crack growth criteria / 5.3.1：
Analytical solution: rectilinear crack propagation on a reference problem / 5.3.2：
Kalthoff experiment / 5.3.3：
Tests on test pieces CCS of Maigre-Rittel / 5.3.4：
Réthoré, Gregoire and Maigre tests / 5.3.5：
X-FEM method in explicit dynamics / 5.3.6：
Simulation of ductile fracture / 5.4：
Characteristics of material 16MND5 / 5.4.1：
Dynamic characterization of the material / 5.4.1.1：
Fracture tests / 5.4.1.2：
Crack advancement measurement device / 5.4.1.3：
Description of tests on CT test pieces / 5.4.1.4：
Numerical simulation / 5.4.1.5：
Ring test and interpretation / 5.4.2：
Geometry, mesh, and loading / 5.4.2.1：
Interpretation of the test in Mode I / 5.4.2.2：
Interpretation of the test in mixed mode / 5.4.2.3：
Conclusions and Open Problems
Summary
Bibliography
Index
Foreword
Acknowledgements
List of Symbols
30.
ＥＢ
Gabriele Puppis, Takeo Kanade
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2010
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Introduction / 1：
Word Automata and Time Granularities / 2：
Background Knowledge / 2.1：
Words and Languages / 2.1.1：
Periodicity of Words / 2.1.2：
Word Automata / 2.1.3：
Time Granularities / 2.1.4：
The String-Based and Automaton-Based Approaches / 2.2：
The Granspec Formalism / 2.2.1：
From Granspecs to Single-String Automata / 2.2.2：
Counters and Multiple Transitions / 2.2.3：
The Logical Counterpart of RCSSA / 2.2.4：
Compact and Tractable Representations / 2.3：
Nested Repetitions of Words / 2.3.1：
Algorithms on NCSSA / 2.3.2：
Optimizing Representations / 2.3.3：
Reasoning on Sets of Granularities / 2.4：
Languages of Ultimately Periodic Words / 2.4.1：
Ultimately Periodic Automata / 2.4.2：
Algorithms on UPA / 2.4.3：
Applications to Time Granularity / 2.4.4：
Discussion / 2.5：
Tree Automata and Logics / 3：
Graphs and Trees / 3.1：
Tree Automata / 3.1.2：
Monadic Second-Order Logic / 3.1.3：
The Model Checking Problem / 3.1.4：
The Contraction Method for Tree Automata / 3.2：
Features and Types / 3.2.1：
Types and the Acceptance Problem / 3.2.2：
From Trees to Their Retractions / 3.2.3：
An Example / 3.2.4：
Tree Transformations / 3.3：
Tree Recolorings / 3.3.1：
Tree Substitutions / 3.3.2：
Tree Transducers / 3.3.3：
Inverse Substitutions / 3.3.4：
A Summary / 3.3.5：
The Class of Reducible Trees / 3.4：
Compositional Properties of Types / 3.4.1：
Closure Properties / 3.4.2：
Effectiveness of the Contraction Method / 3.5：
Reducible Trees and the Caucal Hierarchy / 3.5.1：
Two-Way Alternating Tree Automata / 3.5.2：
Morphic Trees / 3.5.3：
Layered Temporal Structures / 3.5.4：
Summary / 3.6：
Technical Proofs / A：
Proofs of Theorem 5 and Theorem 6 / A.l：
Proof of Theorem 8 / A.2：
Proof of Proposition 34 / A.3：
References
Notation
Index
Introduction / 1：
Word Automata and Time Granularities / 2：
Background Knowledge / 2.1：
31.
図書
Gregory Falkovich
出版情報:
Cambridge : Cambridge University Press, 2011 xii, 167 p. ; 24 cm
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Preface
Prologue
Basic equations and steady flows / 1：
Definitions and basic equations / 1.1：
Definitions / 1.1.1：
Equations of motion for an ideal fluid / 1.1.2：
Hydrostatics / 1.1.3：
Isentropic motion / 1.1.4：
Conservation laws and potential flows / 1.2：
Kinematics / 1.2.1：
Kelvin's theorem / 1.2.2：
Energy and momentum fluxes / 1.2.3：
Irrotational and incompressible flows / 1.2.4：
Flow past a body / 1.3：
Incompressible potential flow past a body / 1.3.1：
Moving sphere / 1.3.2：
Moving body of an arbitrary shape / 1.3.3：
Quasi-momentum and induced mass / 1.3.4：
Viscosity / 1.4：
Reversibility paradox / 1.4.1：
Viscous stress tensor / 1.4.2：
Navier-Stokes equation / 1.4.3：
Law of similarity / 1.4.4：
Stokes flow and the wake / 1.5：
Slow motion / 1.5.1：
The boundary layer and the separation phenomenon / 1.5.2：
Flow transformations / 1.5.3：
Drag and lift with a wake / 1.5.4：
Exercises
Unsteady flows / 2：
Instabilities / 2.1：
Kelvin-Helmholtz instability / 2.1.1：
Energetic estimate of the stability threshold / 2.1.2：
Landau's law / 2.1.3：
Turbulence / 2.2：
Cascade / 2.2.1：
Turbulent river and wake / 2.2.2：
Acoustics / 2.3：
Sound / 2.3.1：
Riemann wave / 2.3.2：
Burgers equation / 2.3.3：
Acoustic turbulence / 2.3.4：
Mach number / 2.3.5：
Dispersive waves / 3：
Linear waves / 3.1：
Surface gravity waves / 3.1.1：
Viscous dissipation / 3.1.2：
Capillary waves / 3.1.3：
Phase and group velocity / 3.1.4：
Weakly non-linear waves / 3.2：
Hamiltonian description / 3.2.1：
Hamiltonian normal forms / 3.2.2：
Wave instabilities / 3.2.3：
Non-linear Schrödinger equation (NSE) / 3.3：
Derivation of NSE / 3.3.1：
Modulational instability / 3.3.2：
Soliton, collapse and turbulence / 3.3.3：
Korteveg-de-Vries (KdV) equation / 3.4：
Waves in shallow water / 3.4.1：
The KdV equation and the soliton / 3.4.2：
Inverse scattering transform / 3.4.3：
Solutions to exercises / 4：
Chapter 1
Chapter 2
Chapter 3
Epilogue
Notes
References
Index
Preface
Prologue
Basic equations and steady flows / 1：
32.
ＥＢ
Gabriele Puppis, Takeo Kanade
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2010
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Introduction / 1：
Word Automata and Time Granularities / 2：
Background Knowledge / 2.1：
Words and Languages / 2.1.1：
Periodicity of Words / 2.1.2：
Word Automata / 2.1.3：
Time Granularities / 2.1.4：
The String-Based and Automaton-Based Approaches / 2.2：
The Granspec Formalism / 2.2.1：
From Granspecs to Single-String Automata / 2.2.2：
Counters and Multiple Transitions / 2.2.3：
The Logical Counterpart of RCSSA / 2.2.4：
Compact and Tractable Representations / 2.3：
Nested Repetitions of Words / 2.3.1：
Algorithms on NCSSA / 2.3.2：
Optimizing Representations / 2.3.3：
Reasoning on Sets of Granularities / 2.4：
Languages of Ultimately Periodic Words / 2.4.1：
Ultimately Periodic Automata / 2.4.2：
Algorithms on UPA / 2.4.3：
Applications to Time Granularity / 2.4.4：
Discussion / 2.5：
Tree Automata and Logics / 3：
Graphs and Trees / 3.1：
Tree Automata / 3.1.2：
Monadic Second-Order Logic / 3.1.3：
The Model Checking Problem / 3.1.4：
The Contraction Method for Tree Automata / 3.2：
Features and Types / 3.2.1：
Types and the Acceptance Problem / 3.2.2：
From Trees to Their Retractions / 3.2.3：
An Example / 3.2.4：
Tree Transformations / 3.3：
Tree Recolorings / 3.3.1：
Tree Substitutions / 3.3.2：
Tree Transducers / 3.3.3：
Inverse Substitutions / 3.3.4：
A Summary / 3.3.5：
The Class of Reducible Trees / 3.4：
Compositional Properties of Types / 3.4.1：
Closure Properties / 3.4.2：
Effectiveness of the Contraction Method / 3.5：
Reducible Trees and the Caucal Hierarchy / 3.5.1：
Two-Way Alternating Tree Automata / 3.5.2：
Morphic Trees / 3.5.3：
Layered Temporal Structures / 3.5.4：
Summary / 3.6：
Technical Proofs / A：
Proofs of Theorem 5 and Theorem 6 / A.l：
Proof of Theorem 8 / A.2：
Proof of Proposition 34 / A.3：
References
Notation
Index
Introduction / 1：
Word Automata and Time Granularities / 2：
Background Knowledge / 2.1：
33.
ＥＢ
Albert C. J. Luo, Michal Feckan, Nail H. Ibragimov, Michal FeÄkan
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Introduction / 1：
References
Preliminary Results / 2：
Linear Functional Analysis / 2.1：
Nonlinear Functional Analysis / 2.2：
Banach Fixed Point Theorem / 2.2.1：
Implicit Function Theorem / 2.2.2：
Lyapunov-Schmidt Method / 2.2.3：
Brouwer Degree / 2.2.4：
Local Invertibility / 2.2.5：
Global Invertibility / 2.2.6：
Multivalued Mappings / 2.3：
Differential Topology / 2.4：
Differentiable Manifolds / 2.4.1：
Vector Bundles / 2.4.2：
Tubular Neighbourhoods / 2.4.3：
Dynamical Systems / 2.5：
Homogenous Linear Equations / 2.5.1：
Chaos in Diffeomorphisms / 2.5.2：
Periodic ODEs / 2.5.3：
Vector Fields / 2.5.4：
Global Center Manifolds / 2.5.5：
Two-Dimensional Flows / 2.5.6：
Averaging Method / 2.5.7：
Carathéodory Type ODEs / 2.5.8：
Singularities of Smooth Maps / 2.6：
Jet Bundles / 2.6.1：
Transversality / 2.6.2：
Malgrange Preparation Theorem / 2.6.4：
Complex Analysis / 2.6.5：
Chaos in Discrete Dynamical Systems / 3：
Transversal Bounded Solutions / 3.1：
Difference Equations / 3.1.1：
Variational Equation / 3.1.2：
Perturbation Theory / 3.1.3：
Bifurcation from a Manifold of Homoclinic Solutions / 3.1.4：
Applications to Impulsive Differential Equations / 3.1.5：
Transversal Homoclinic Orbits / 3.2：
Higher Dimensional Difference Equations / 3.2.1：
Bifurcation Result / 3.2.2：
Applications to McMillan Type Mappings / 3.2.3：
Planar Integrable Maps with Separatrices / 3.2.4：
Singular Impulsive ODEs / 3.3：
Singular ODEs with Impulses / 3.3.1：
Linear Singular ODEs with Impulses / 3.3.2：
Derivation of the Melnikov Function / 3.3.3：
Examples of Singular Impulsive ODEs / 3.3.4：
Singularly Perturbed Impulsive ODEs / 3.4：
Singularly Perturbed ODEs with Impulses / 3.4.1：
Melnikov Function / 3.4.2：
Second Order Singularly Perturbed ODEs with Impulses / 3.4.3：
Inflated Deterministic Chaos / 3.5：
Inflated Dynamical Systems / 3.5.1：
Inflated Chaos / 3.5.2：
Chaos in Ordinary Differential Equations / 4：
Higher Dimensional ODEs / 4.1：
Parameterized Higher Dimensional ODEs / 4.1.1：
Variational Equations / 4.1.2：
Melnikov Mappings / 4.1.3：
The Second Order Melnikov Function / 4.1.4：
Application to Periodically Perturbed ODEs / 4.1.5：
ODEs with Nonresonant Center Manifolds / 4.2：
Parameterized Coupled Oscillators / 4.2.1：
Chaotic Dynamics on the Hyperbolic Subspace / 4.2.2：
Chaos in the Full Equation / 4.2.3：
Applications to Nonlinear ODEs / 4.2.4：
ODEs with Resonant Center Manifolds / 4.3：
ODEs with Saddle-Center Parts / 4.3.1：
Example of Coupled Oscillators at Resonance / 4.3.2：
General Equations / 4.3.3：
Singularly Perturbed and Forced ODEs / 4.3.4：
Forced Singular ODEs / 4.4.1：
Center Manifold Reduction / 4.4.2：
ODEs with Normal and Slow Variables / 4.4.3：
Homoclinic Hopf Bifurcation / 4.4.4：
Bifurcation from Degenerate Homoclinics / 4.5：
Periodically Forced ODEs with Degenerate Homoclinics / 4.5.1：
Bifurcation Equation / 4.5.2：
Bifurcation for 2-Parametric Systems / 4.5.3：
Bifurcation for 4-Parametric Systems / 4.5.4：
Autonomous Perturbations / 4.5.5：
Inflated ODEs / 4.6：
Inflated Carathéodory Type ODEs / 4.6.1：
Inflated Periodic ODEs / 4.6.2：
Inflated Autonomous ODEs / 4.6.3：
Nonlinear Diatomic Lattices / 4.7：
Forced and Coupled Nonlinear Lattices / 4.7.1：
Spatially Localized Chaos / 4.7.2：
Chaos in Partial Differential Equations / 5：
Beams on Elastic Bearings / 5.1：
Weakly Nonlinear Beam Equation / 5.1.1：
Setting of the Problem / 5.1.2：
Chaotic Solutions / 5.1.3：
Useful Numerical Estimates / 5.1.5：
Lipschitz Continuity / 5.1.6：
Infinite Dimensional Non-Resonant Systems / 5.2：
Buckled Elastic Beam / 5.2.1：
Abstract Problem / 5.2.2：
Chaos on the Hyperbolic Subspace / 5.2.3：
Applications to Vibrating Elastic Beams / 5.2.4：
Planer Motion with One Buckled Mode / 5.2.6：
Nonplaner Symmetric Beams / 5.2.7：
Nonplaner Nonsymmetric Beams / 5.2.8：
Multiple Buckled Modes / 5.2.9：
Periodically Forced Compressed Beam / 5.3：
Resonant Compressed Equation / 5.3.1：
Formulation of Weak Solutions / 5.3.2：
Chaos in Discontinuous Differential Equations / 5.3.3：
Transversal Homoclinic Bifurcation / 6.1：
Discontinuous Differential Equations / 6.1.1：
Geometric Interpretation of Nondegeneracy Condition / 6.1.2：
Orbits Close to the Lower Homoclinic Branches / 6.1.4：
Orbits Close to the Upper Homoclinic Branch / 6.1.5：
Chaotic Behaviour / 6.1.6：
Almost and Quasiperiodic Cases / 6.1.8：
Periodic Case / 6.1.9：
Piecewise Smooth Planar Systems / 6.1.10：
3D Quasiperiodic Piecewise Linear Systems / 6.1.11：
Multiple Transversal Crossings / 6.1.12：
Sliding Homoclinic Bifurcation / 6.2：
Higher Dimensional Sliding Homoclinics / 6.2.1：
Planar Sliding Homoclinics / 6.2.2：
Three-Dimensional Sliding Homoclinics / 6.2.3：
Outlook / 6.3：
Concluding Related Topics / 7：
Notes on Melnikov Function / 7.1：
Role of Melnikov Function / 7.1.1：
Melnikov Function and Calculus of Residues / 7.1.2：
Second Order ODEs / 7.1.3：
Applications and Examples / 7.1.4：
Transverse Heteroclinic Cycles / 7.2：
Blue Sky Catastrophes / 7.3：
Symmetric Systems with First Integrals / 7.3.1：
D'Alembert and Penalized Equations / 7.3.2：
Index
Introduction / 1：
References
Preliminary Results / 2：
34.
ＥＢ
Gerald Kowalski
出版情報:
Springer eBooks Computer Science , Springer US, 2011
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Information Retrieval System Functions / 1：
Introduction / 1.1：
Primary Information Retrieval Problems / 1.1.1：
Objectives of Information Retrieval System / 1.1.2：
Functional Overview of Information Retrieval Systems / 1.2：
Selective Dissemination of Information / 1.2.1：
Alerts / 1.2.2：
Items and Item Index / 1.2.3：
Indexing and Mapping to a Taxonomy / 1.2.4：
Understanding Search Functions / 1.3：
Boolean Logic / 1.3.1：
Proximity / 1.3.2：
Contiguous Word Phrases / 1.3.3：
Fuzzy Searches / 1.3.4：
Term Masking / 1.3.5：
Numeric and Date Ranges / 1.3.6：
Vocabulary Browse / 1.3.7：
Multimedia Search / 1.3.8：
Relationship to Database Management Systems / 1.4：
Digital Libraries and Data Warehouses / 1.5：
Processing Subsystem Overview / 1.6：
Summary / 1.7：
Exercises / 1.8：
Data Structures and Mathematical Algorithms / 2：
Data Structures / 2.1：
Introduction to Data Structures / 2.1.1：
Inverted File Structure / 2.1.2：
N-Gram Data Structures / 2.1.3：
PAT Data Structure / 2.1.4：
Signature File Structure / 2.1.5：
Hypertext and XML Data Structures / 2.1.6：
XML / 2.1.7：
Mathematical Algorithms / 2.2：
Bayesian Mathematics / 2.2.1：
Shannon's Theory of Information / 2.2.3：
Latent Semantic Indexing / 2.2.4：
Hidden Markov Models / 2.2.5：
Neural Networks / 2.2.6：
Support Vector Machines / 2.2.7：
Ingest / 2.3：
Introduction to Ingest / 3.1：
Item Receipt / 3.2：
Duplicate Detection / 3.3：
Item Normalization / 3.4：
Zoning and Creation of Processing Tokens / 3.5：
Stemming / 3.6：
Introduction to the Stemming Process / 3.6.1：
Porter Stemming Algorithm / 3.6.2：
Dictionary Look-Up Stemmers / 3.6.3：
Successor Stemmers / 3.6.4：
Conclusions on Stemming / 3.6.5：
Entity Processing / 3.7：
Entity Identification / 3.7.1：
Entity Normalization / 3.7.2：
Entity Resolution / 3.7.3：
Information Extraction / 3.7.4：
Categorization / 3.8：
Citational Metadata / 3.9：
Indexing / 3.10：
What is Indexing / 4.1：
History / 4.1.1：
Objectives / 4.1.2：
Manual Indexing Process / 4.2：
Scope of Indexing / 4.2.1：
Precoordination and Linkages / 4.2.2：
Automatic Indexing of Text / 4.3：
Statistical Indexing / 4.3.1：
Natural Language / 4.3.2：
Concept Indexing / 4.3.3：
Automatic Indexing of Multimedia / 4.4：
Introduction to Mutlimedia Indexing / 4.4.1：
Audio Indexing / 4.4.2：
Image Indexing / 4.4.3：
Video Indexing / 4.4.4：
Search / 4.5：
Similarity Measures and Ranking / 5.1：
Similarity Measures / 5.2.1：
Hidden Markov Models Techniques / 5.3：
Ranking Algorithms / 5.4：
Relevance Feedback / 5.5：
Selective Dissemination of Information Search / 5.6：
Weighted Searches of Boolean Systems / 5.7：
Multimedia Searching / 5.8：
Document and Term Clustering / 5.9：
Introduction to Clustering / 6.1：
Thesaurus Generation / 6.2：
Manual Clustering / 6.2.1：
Automatic Term Clustering / 6.2.2：
Item Clustering / 6.3：
Hierarchy of Clusters / 6.4：
Automatic Hierarchical Cluster Algorithms / 6.4.1：
Measure of Tightness for Cluster / 6.5：
Issues with Use of Hierarchical Cluster Algorithms / 6.6：
Information Presentation / 6.7：
Information Presentation Introduction / 7.1：
Presentation of the Hits / 7.2：
Sequential Listing of Hits / 7.2.1：
Cluster View / 7.2.2：
Network View / 7.2.3：
Timeline Presentation / 7.2.4：
Display of the Item / 7.3：
Indicating Search Terms in Display / 7.3.1：
Text Summarization / 7.3.2：
Collaborative Filtering / 7.4：
Page Ranking as Collaborative Filtering / 7.4.1：
Multimedia Presentation / 7.5：
Audio Presentation / 7.5.1：
Image Item Presentation / 7.5.2：
Video Presentation / 7.5.3：
Human Perception and Presentation / 7.6：
Introduction to Information Visualization / 7.6.1：
Cognition and Perception / 7.6.2：
Search Architecture / 7.7：
Index Search Optimization / 8.1：
Pruning the Index / 8.1.1：
Champion Lists / 8.1.2：
Text Search Optimization / 8.2：
Software Text Search Algorithms / 8.2.1：
Hardware Text Search Systems / 8.2.2：
GOOGLE Scalable Multiprocessor Architecture / 8.3：
Information System Evaluation / 8.4：
Introduction to Information System Evaluation / 9.1：
Measures Used in System Evaluations / 9.2：
Multimedia Information Retrieval Evaluation / 9.3：
Measurement Example: TREC Evolution / 9.4：
Bibliography / 9.5：
Index
Information Retrieval System Functions / 1：
Introduction / 1.1：
Primary Information Retrieval Problems / 1.1.1：
35.
ＥＢ
Gerald Kowalski
出版情報:
SpringerLink Books - AutoHoldings , Springer US, 2011
子書誌情報:
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所蔵情報:
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Information Retrieval System Functions / 1：
Introduction / 1.1：
Primary Information Retrieval Problems / 1.1.1：
Objectives of Information Retrieval System / 1.1.2：
Functional Overview of Information Retrieval Systems / 1.2：
Selective Dissemination of Information / 1.2.1：
Alerts / 1.2.2：
Items and Item Index / 1.2.3：
Indexing and Mapping to a Taxonomy / 1.2.4：
Understanding Search Functions / 1.3：
Boolean Logic / 1.3.1：
Proximity / 1.3.2：
Contiguous Word Phrases / 1.3.3：
Fuzzy Searches / 1.3.4：
Term Masking / 1.3.5：
Numeric and Date Ranges / 1.3.6：
Vocabulary Browse / 1.3.7：
Multimedia Search / 1.3.8：
Relationship to Database Management Systems / 1.4：
Digital Libraries and Data Warehouses / 1.5：
Processing Subsystem Overview / 1.6：
Summary / 1.7：
Exercises / 1.8：
Data Structures and Mathematical Algorithms / 2：
Data Structures / 2.1：
Introduction to Data Structures / 2.1.1：
Inverted File Structure / 2.1.2：
N-Gram Data Structures / 2.1.3：
PAT Data Structure / 2.1.4：
Signature File Structure / 2.1.5：
Hypertext and XML Data Structures / 2.1.6：
XML / 2.1.7：
Mathematical Algorithms / 2.2：
Bayesian Mathematics / 2.2.1：
Shannon's Theory of Information / 2.2.3：
Latent Semantic Indexing / 2.2.4：
Hidden Markov Models / 2.2.5：
Neural Networks / 2.2.6：
Support Vector Machines / 2.2.7：
Ingest / 2.3：
Introduction to Ingest / 3.1：
Item Receipt / 3.2：
Duplicate Detection / 3.3：
Item Normalization / 3.4：
Zoning and Creation of Processing Tokens / 3.5：
Stemming / 3.6：
Introduction to the Stemming Process / 3.6.1：
Porter Stemming Algorithm / 3.6.2：
Dictionary Look-Up Stemmers / 3.6.3：
Successor Stemmers / 3.6.4：
Conclusions on Stemming / 3.6.5：
Entity Processing / 3.7：
Entity Identification / 3.7.1：
Entity Normalization / 3.7.2：
Entity Resolution / 3.7.3：
Information Extraction / 3.7.4：
Categorization / 3.8：
Citational Metadata / 3.9：
Indexing / 3.10：
What is Indexing / 4.1：
History / 4.1.1：
Objectives / 4.1.2：
Manual Indexing Process / 4.2：
Scope of Indexing / 4.2.1：
Precoordination and Linkages / 4.2.2：
Automatic Indexing of Text / 4.3：
Statistical Indexing / 4.3.1：
Natural Language / 4.3.2：
Concept Indexing / 4.3.3：
Automatic Indexing of Multimedia / 4.4：
Introduction to Mutlimedia Indexing / 4.4.1：
Audio Indexing / 4.4.2：
Image Indexing / 4.4.3：
Video Indexing / 4.4.4：
Search / 4.5：
Similarity Measures and Ranking / 5.1：
Similarity Measures / 5.2.1：
Hidden Markov Models Techniques / 5.3：
Ranking Algorithms / 5.4：
Relevance Feedback / 5.5：
Selective Dissemination of Information Search / 5.6：
Weighted Searches of Boolean Systems / 5.7：
Multimedia Searching / 5.8：
Document and Term Clustering / 5.9：
Introduction to Clustering / 6.1：
Thesaurus Generation / 6.2：
Manual Clustering / 6.2.1：
Automatic Term Clustering / 6.2.2：
Item Clustering / 6.3：
Hierarchy of Clusters / 6.4：
Automatic Hierarchical Cluster Algorithms / 6.4.1：
Measure of Tightness for Cluster / 6.5：
Issues with Use of Hierarchical Cluster Algorithms / 6.6：
Information Presentation / 6.7：
Information Presentation Introduction / 7.1：
Presentation of the Hits / 7.2：
Sequential Listing of Hits / 7.2.1：
Cluster View / 7.2.2：
Network View / 7.2.3：
Timeline Presentation / 7.2.4：
Display of the Item / 7.3：
Indicating Search Terms in Display / 7.3.1：
Text Summarization / 7.3.2：
Collaborative Filtering / 7.4：
Page Ranking as Collaborative Filtering / 7.4.1：
Multimedia Presentation / 7.5：
Audio Presentation / 7.5.1：
Image Item Presentation / 7.5.2：
Video Presentation / 7.5.3：
Human Perception and Presentation / 7.6：
Introduction to Information Visualization / 7.6.1：
Cognition and Perception / 7.6.2：
Search Architecture / 7.7：
Index Search Optimization / 8.1：
Pruning the Index / 8.1.1：
Champion Lists / 8.1.2：
Text Search Optimization / 8.2：
Software Text Search Algorithms / 8.2.1：
Hardware Text Search Systems / 8.2.2：
GOOGLE Scalable Multiprocessor Architecture / 8.3：
Information System Evaluation / 8.4：
Introduction to Information System Evaluation / 9.1：
Measures Used in System Evaluations / 9.2：
Multimedia Information Retrieval Evaluation / 9.3：
Measurement Example: TREC Evolution / 9.4：
Bibliography / 9.5：
Index
Information Retrieval System Functions / 1：
Introduction / 1.1：
Primary Information Retrieval Problems / 1.1.1：
36.
図書
edited by Xin-bo Zhang
出版情報:
Weinheim : Wiley-VCH, c2018 xiv, 417 p. ; 25 cm
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Preface
Introduction to Metal-Air Batteries: Theory and Basic Principles / Zhiwen Chang and Xin-bo Zhang1：
Li-O2 Battery / 1.1：
Sodium-O2 Battery / 1.2：
References
Stabilization of Lithium-Metal Anode in Rechargeable Lithium-Air Batteries / Bin Liu and Wu Xu and Ji-Guang Zhang2：
Introduction / 2.1：
Recent Progresses in Li Metal Protection for Li-O2 Batteries / 2.2：
Design of Composite Protective Layers / 2.2.1：
New Insights on the Use of Electrolyte / 2.2.2：
Functional Separators / 2.2.3：
Solid-State Electrolytes / 2.2.4：
Alternative Anodes / 2.2.5：
Challenges and Perspectives / 2.3：
Acknowledgment
Li-Air Batteries: Discharge Products / Xuanxuan Bi and Rongyue Wang and Jun Lu3：
Discharge Products in Aprotic Li-O2 Batteries / 3.1：
Peroxide-based Li-O2 Batteries / 3.2.1：
Electrochemical Reactions / 3.2.1.1：
Crystalline and Electronic Band Structure of Li2 O2 / 3.2.1.2：
Reaction Mechanism and the Coexistence of Li2 O2 and LiO2 / 3.2.1.3：
Super oxide-based Li-02 Batteries / 3.2.2：
Problems and Challenges in Aprotic Li-O2 Batteries / 3.2.3：
Decomposition of the Electrolyte / 3.2.3.1：
Degradation of the Carbon Cathode / 3.2.3.2：
Discharge Products in Li-Air Batteries / 3.3：
Challenges to Exchanging O2 to Air / 3.3.1：
Effect of Water on Discharge Products / 3.3.2：
Effect of Small Amount of Water / 3.3.2.1：
Aqueous Li-O2 Batteries / 3.3.2.2：
Effect of C02 on Discharge Products / 3.3.3：
Current Li-Air Batteries and Perspectives / 3.3.4：
Electrolytes for Li-O2 Batteries / Alex R. Neale and Peter Goodrich and Christopher Hardacre and Johan Jacquemin4：
General Li-O2 Battery Electrolyte Requirements and Considerations / 4.1：
Electrolyte Salts / 4.1.1：
Ethers and Glymes / 4.1.2：
Dimethyl Sulfoxide (DMSO) and Sulfones / 4.1.3：
Nitriles / 4.1.4：
Amides / 4.1.5：
Ionic Liquids / 4.1.6：
Future Outlook / 4.1.7：
Li-Oxygen Battery: Parasitic Reactions / Xiahui Yao and Qi Dong and Qingmei Cheng and Dunwei Wang5：
The Desired and Parasitic Chemical Reactions for Li-Oxygen Batteries / 5.1：
Parasitic Reactions of the Electrolyte / 5.2：
Nucleophilic Attack / 5.2.1：
Autoxidation Reaction / 5.2.2：
Acid-Base Reaction / 5.2.3：
Proton-mediated Parasitic Reaction / 5.2.4：
Additional Parasitic Chemical Reactions of the Electrolyte: Reduction Reaction / 5.2.5：
Parasitic Reactions at the Cathode / 5.3：
The Corrosion of Carbon in the Discharge Process / 5.3.1：
The Corrosion of Carbon in the Recharge Process / 5.3.2：
Catalyst-induced Parasitic Chemical Reactions / 5.3.3：
Alternative Cathode Materials and Corresponding Parasitic Chemistries / 5.3.4：
Additives and Binders / 5.3.5：
Contaminations / 5.3.6：
Parasitic Reactions on the Anode / 5.4：
Corrosion of the Li Metal / 5.4.1：
SEI in the Oxygenated Atmosphere / 5.4.2：
Alternative Anodes and Associated Parasitic Chemistries / 5.4.3：
New Opportunities from the Parasitic Reactions / 5.5：
Summary and Outlook / 5.6：
Li-Air Battery: Electrocatalysts / 6：
Types of ELectrocatalyst / 6.1：
Carbonaceous Materials / 6.2.1：
Commercial Carbon Powders / 6.2.1.1：
Carbon Nanotubes (CNTs) / 6.2.1.2：
Graphene / 6.2.1.3：
Doped Carbonaceous Material / 6.2.1.4：
Noble Metal and Metal Oxides / 6.2.2：
Transition Metal Oxides / 6.2.3：
Perovskite Catalyst / 6.2.3.1：
Redox Mediator / 6.2.3.2：
Research of Catalyst / 6.3：
Reaction Mechanism / 6.4：
Summary / 6.5：
Lithium-Air Battery Mediator / Zhuojion Liang and Guangtao Cong and Yu Wang and Yi-Chun Lu7：
Redox Mediators in Lithium Batteries / 7.1：
Redox Mediators in Li-Air Batteries / 7.1.1：
Redox Mediators in Li-ion and Lithium-flow Batteries / 7.1.2：
Overcharge Protection in Li-ion Batteries / 7.1.2.1：
Redox Targeting Reactions in Lithium-flow Batteries / 7.1.2.2：
Selection Criteria and Evaluation of Redox Mediators for Li-O2 Batteries / 7.2：
Redox Potential / 7.2.1：
Stability / 7.2.2：
Reaction Kinetics and Mass Transport Properties / 7.2.3：
Catalytic Shuttle vs Parasitic Shuttle / 7.2.4：
Charge Mediators / 7.3：
Lil (Lithium Iodide) / 7.3.1：
LiBr (Lithium Bromide) / 7.3.2：
Nitroxides: TEMPO (2,2,6,6-TetramethyIpiperidinyioxyl) and Others / 7.3.3：
TTF (Tetrathiafulvalene) / 7.3.4：
Tris[4-(diethylamino)phenyl]amine (TDPA) / 7.3.5：
Comparison of the Reported Charge Mediators / 7.3.6：
Discharge Mediator / 7.4：
Iron Phthalocyanine (FePc) / 7.4.1：
2,5-Di-tert'butyl-l,4-benzoquinone (DBBQ) / 7.4.2：
Conclusion and Perspective / 7.5：
Spatiotemporal Operando X-ray Diffraction Study on Li-Air Battery / Di-Jia Liu and Jiang-Lan Shui8：
Microfocused X-ray Diffraction (¿-XRD) and Li-O2 Cell Experimental Setup / 8.1：
Study on Anode: Limited Reversibility of Lithium in Rechargeable LAB / 8.2：
Study on Separator: Impact of Precipitates to LAB Performance / 8.3：
Study on Cathode: Spatiotemporal Growth of Li2 O2 During Redox Reaction / 8.4：
Metal-Air Battery: In Situ Spectroelectrochemical Techniquesx / lain M. Aldous and Laurence J. Hardwick and Richard J. Nichols and J. Padmanabhan Vivek9：
Raman Spectroscopy / 9.1：
In Situ Raman Spectroscopy for Metal-O2 Batteries / 9.1.1：
Background Theory / 9.1.2：
Practical Considerations / 9.1.3：
Electrochemical Roughening / 9.1.3.1：
Addressing Inhomogeneous SERS Enhancement / 9.1.3.2：
In Situ Raman Setup / 9.1.4：
Determination of Oxygen Reduction and Evolution Reaction Mechanisms Within Metal-O2 Batteries / 9.1.5：
Infrared Spectroscopy / 9.2：
Background / 9.2.1：
IR Studies of Electrochemical Interfaces / 9.2.2：
Infrared Spectroscopy for Metal-O2 Battery Studies / 9.2.3：
UV/Visible Spectroscopic Studies / 9.3：
UV/Vis Spectroscopy / 9.3.1：
UV/Vis Spectroscopy for Metal-O2 Battery Studies / 9.3.2：
Electron Spin Resonance / 9.4：
Cell Setup / 9.4.1：
Deployment of Electrochemical ESR in Battery Research / 9.4.2：
Zn-Air Batteries / Tong wen Yu and Rui Cai and Zhongwei Chen9.5：
Zinc Electrode / 10.1：
Electrolyte / 10.3：
Separator / 10.4：
Air Electrode / 10.5：
Structure of Air Electrode / 10.5.1：
Oxygen Reduction Reaction / 10.5.2：
Oxygen Evolution Reaction / 10.5.3：
Electrocatalyst / 10.5.4：
Noble Metals and Alloys / 10.5.4.1：
Inorganic-Organic Hybrid Materials / 10.5.4.2：
Meta-free Materials / 10.5.4.4：
Conclusions and Outlook / 10.6：
Experimental and Computational investigation of Nonaqueous Mg/O2 Batteries / Jeffrey G. Smith and Güiin Vardar and Charles W. Monroe and Donald J. Siegel11：
Experimental Studies of Magnesium/Air Batteries and Electrolytes / 11.1：
Ionic Liquids as Candidate Electrolytes for Mg/O2 Batteries / 11.2.1：
Modified Grignard Electrolytes for Mg/O2 Batteries / 11.2.2：
All-inorganic Electrolytes for Mg/O2 Batteries / 11.2.3：
Electrochemical Impedance Spectroscopy / 11.2.4：
Computational Studies of Mg/O2 Batteries / 11.3：
Calculation of Thermodynamic Overpotentials / 11.3.1：
Charge Transport in Mg/O2 Discharge Products / 11.3.2：
Concluding Remarks / 11.4：
Novel Methodologies to Model Charge Transport In Metal-Air Batteries / Nicoiai Rask Mathiesen and Marko Melander and Mikael Kuisma and Pablo García-Fernandez and Juan Maria García Lastra12：
Modeling Electrochemical Systems with GPAW / 12.1：
Density Functional Theory / 12.2.1：
Conductivity from DFT Data / 12.2.2：
The GPAW Code / 12.2.3：
Charge Transfer Rates with Constrained DFT / 12.2.4：
Marcus Theory of Charge Transfer / 12.2.4.1：
Constrained DFT / 12.2.4.2：
Polaronic Charge Transport at the Cathode / 12.2.4.3：
Electrochemistry at Solid-Liquid Interfaces / 12.2.5：
Modeling the Electrochemical Interface / 12.2.5.1：
Implicit Solvation at the Electrochemical Interface / 12.2.5.2：
Generalized Poisson-Boltzmann Equation for the Electric Double Layer / 12.2.5.3：
A Electrode Potential Within the Poisson-Boltzmann Model
Calculations at Constant Electrode Potential / 12.2.6：
The Need for a Constant Potential Presentation / 12.2.6.1：
Grand Canonical Ensemble for Electrons / 12.2.6.2：
Fictitious Charge Dynamics / 12.2.6.3：
Model in Practice / 12.2.6.4：
Conclusions / 12.2.7：
Second Principles for Material Modeling / 12.3：
The Energy in SP-DET / 12.3.1：
The Lattice Term (E(0) ) / 12.3.2：
Electronic Degrees of Freedom / 12.3.3：
Model Construction / 12.3.4：
Perspectives on SP-DFT / 12.3.5：
Acknowledgments
Flexible Metal-Air Batteries / Huisheng Peng and Yifan Xu and Jian Pan and Yang Zhao and Lie Wang and Xiang Shi13：
Flexible Electrolytes / 13.1：
Aqueous Electrolytes / 13.2.1：
PAA-based Gel Polymer Electrolyte / 13.2.1.1：
PEO-based Gel Polymer Electrolyte / 13.2.1.2：
PVA-based Gel Polymer Electrolyte / 13.2.1.3：
Nonaqueous Electrolytes / 13.2.2：
PEO-based Polymer Electrolyte / 13.2.2.1：
PVDF-HFP-based Polymer Electrolyte / 13.2.2.2：
Ionic Liquid Electrolyte / 13.2.2.3：
Flexible Anodes / 13.3：
Flexible Cathodes / 13.4：
Modified Stainless Steel Mesh / 13.4.1：
Modified Carbon Textile / 13.4.2：
Carbon Nanotube / 13.4.3：
Graphene-based Cathode / 13.4.4：
Other Composite Electrode / 13.4.5：
Prototype Devices / 13.5：
Sandwich Structure / 13.5.1：
Fiber Structure / 13.5.2：
Perspectives on the Development of Metal-Air Batteries / 13.6：
Lithium Anode / 14.1：
Cathode / 14.1.2：
The Reaction Mechanisms / 14.1.4：
The Development of Solid-state Li-O2 Battery / 14.1.5：
The Development of Flexible Li-O2 Battery / 14.1.6：
Na-O2 Battery / 14.2：
Zn-air Battery / 14.3：
Index
Preface
Introduction to Metal-Air Batteries: Theory and Basic Principles / Zhiwen Chang and Xin-bo Zhang1：
Li-O2 Battery / 1.1：
37.
ＥＢ
Heinz Schättler, Urszula Ledzewicz
出版情報:
SpringerLink Books - AutoHoldings , Dordrecht : Springer New York, 2012
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The Calculus of Variations: A Historical Perspective / 1：
The Brachistochrone Problem / 1.1：
The Euler-Lagrange Equation / 1.2：
Surfaces of Revolution of Minimum Area / 1.3：
The Legendre and Jacobi Conditions / 1.4：
The Geometry of Conjugate Points and Envelopes / 1.5：
Fields of Extremals and the Weierstrass Condition / 1.6：
Optimal Solutions for the Minimum Surfaces of Revolution / 1.7：
Optimality of the Cycloids for the Brachistochrone Problem / 1.8：
The Hamilton-Jacobi Equation / 1.9：
From the Calculus of Variations to Optimal Control / 1.10：
Notes / 1.11：
The Pontryagin Maximum Principle: From Necessary Conditions to the Construction of an Optimal Solution / 2：
Linear-Quadratic Optimal Control / 2.1：
Optimal Control Problems / 2.2：
Control Systems / 2.2.1：
The Pontryagin Maximum Principle / 2.2.2：
The Simplest Problem in the Calculus of Variations in Rn / 2.3：
The Linear-Quadratic Regulator Revisited / 2.4：
A Derivation of the Optimal Control from the Maximum Principle / 2.4.1：
Two Scalar Examples: / 2.4.2：
Time-Optimal Control for Linear Time-Invariant Systems / 2.5：
Time-Optimal Control for Planar Linear Time-Invariant Systems: Examples / 2.6：
The Double Integrator / 2.6.1：
A Hyperbolic Saddle / 2.6.2：
An Unstable Node / 2.6.3：
The Harmonic Oscillator / 2.6.4：
Extensions of the Model: Two Examples / 2.7：
An Economic Trading Model / 2.7.1：
The Moon-Landing Problem / 2.7.2：
Singular Controls and Lie Derivatives / 2.8：
Time-Optimal Control for a Single-Input Control-Affine Nonlinear System / 2.8.1：
The Switching Function and Singular Controls / 2.8.2：
Lie Derivatives and the Lie Bracket / 2.8.3：
The Order of a Singular Control and the Legendre-Clebsch Conditions / 2.8.4：
Multi-input Systems and the Goh Condition / 2.8.5：
Time-Optimal Control for Nonlinear Systems in the Plane / 2.9：
Optimal Bang-Bang Controls in the Simple Subcases / 2.9.1：
Fast and Slow Singular Arcs / 2.9.2：
Optimal Bang-Bang Trajectories near a Slow Singular Arc / 2.9.3：
Input Symmetries and Codimension-2 Cases in the Plane / 2.10：
Input Symmetries / 2.10.1：
Saturating Singular Arcs / 2.10.2：
Chattering Arcs: The Fuller Problem / 2.11：
The Fuller Problem as a Time-Optimal Control Problem in R3 / 2.11.1：
Elementary Properties of Extremals / 2.11.2：
Symmetries of Extremals / 2.11.3：
A Synthesis of Invariant Extremals / 2.11.4：
Reachable Sets of Linear Time-Invariant Systems: From Convex Sets to the Bang-Bang Theorem / 2.12：
Elementary Theory of Convex Sets / 3.1：
Weak Convergence in L1 (I) / 3.2：
Topological Properties of Reachable Sets / 3.3：
The General Bang-Bang Theorem / 3.4：
Boundary Trajectories and Small-Time Local Controllability / 3.5：
The Bang-Bang Theorem for Compact Polyhedra / 3.6：
The High-Order Maximum Principle: From Approximations of Reachable Sets to High-Order Necessary Conditions for Optimality / 3.7：
Boltyansky Approximating Cones / 4.1：
Proof of the Pontryagin Maximum Principle / 4.2：
Tangent Vectors to the Reachable Set / 4.2.1：
Construction of an Approximating Cone / 4.2.2：
Boundary Trajectories / 4.2.3：
Necessary Conditions for Optimality / 4.2.4：
Control Systems on Manifolds: Definition and Examples / 4.3：
Shortest Paths on a Sphere / 4.3.1：
Control of a Rigid Body / 4.3.2：
Trajectory Planning for Redundant Robotic Manipulators / 4.3.3：
The High-Order Maximum Principle / 4.4：
Embeddings and Point Variations / 4.4.1：
Variational Vector and Covector Fields / 4.4.2：
C1 -Extendable Variations / 4.4.3：
Exponential Representations of Flows / 4.4.4：
High-Order Necessary Conditions for Optimality / 4.6：
The Legendre-Clebsch Condition / 4.6.1：
The Kelley Condition / 4.6.2：
The Goh Condition for Multi-input Systems / 4.6.3：
The Method of Characteristics: A Geometric Approach to Sufficient Conditions for a Local Minimum / 4.7：
The Value Function and the Hamilton-Jacobi-Bellman Equation / 5.1：
Parameterized Families of Extremals and the Shadow-Price Lemma / 5.2：
Parameterized Families of Extremals / 5.2.1：
The Shadow-Price Lemma and Solutions to the Hamilton-Jacobi-Bellman Equation / 5.2.2：
The Fuller Problem Revisited / 5.2.3：
Neighboring Extremals and Sufficient Conditions for a Local Minimum / 5.3：
A Canonical Parameterized Family of Extremals / 5.3.1：
Perturbation Feedback Control and Regularity of the Flow F / 5.3.2：
Fold Singularities and Conjugate Points / 5.4：
Classical Envelopes / 5.4.1：
The Hilbert Invariant Integral and Control Envelopes / 5.4.2：
Lyapunov-Schmidt Reduction and the Geometry of Fold Singularities / 5.4.3：
The Geometry of the Flow F and the Graph of the Value Function Vε near a Fold Singular Point / 5.4.4：
Simple Cusp Singularities and Cut-Loci / 5.5：
Synthesis of Optimal Controlled Trajectories: From Local to Global Solutions / 5.6：
Parameterized Families of Broken Extremals / 6.1：
Concatenations of Parameterized Families of Extremals / 6.1.1：
Transversal Crossings / 6.1.2：
Transversal Folds / 6.1.3：
Local Analysis of a Flow of Broken Extremals / 6.1.4：
A Mathematical Model for Tumor Antiangiogenic Treatment / 6.2：
Preliminary Analysis of Extremals / 6.2.1：
Singular Control and Singular Arcs / 6.2.2：
A Family of Broken Extremals with Singular Arcs / 6.2.3：
Analysis of the Corresponding Flow and Value Function / 6.2.4：
Sufficient Conditions for a Global Minimum: Syntheses of Optimal Controlled Trajectories / 6.3：
Control-Affine Systems in Low Dimensions: From Small-Time Reachable Sets to Time-Optimal Syntheses / 6.4：
Basic Topological Properties of Small-Time Reachable Sets / 7.1：
Small-Time Reachable Sets in Dimension 2 / 7.2：
Small-Time Reachable Sets in Dimension 3 / 7.3：
Boundary Trajectories in Dimension 3: Lobry's Example / 7.3.1：
Small-Time Reachable Sets under Codimension-0 Assumptions / 7.3.2：
From Boundary Trajectories in Dimension 4 to Time-Optimal Control in R3 / 7.4：
Boundary Trajectories in Dimension 4 under Codimension-0 Assumptions / 7.4.1：
Construction of a Local Time-Optimal Synthesis to an Equilibrium Point in Dimension 3 / 7.4.2：
The Codimension-1 Case in Dimension 4: Saturating Singular Arcs / 7.5：
A Review of Some Basic Results from Advanced Calculus / 7.6：
Topology and Convergence in Normed Vector Spaces / A.1：
Uniform Convergence and the Banach Space C(K) / A.2：
Differentiable Mappings and the Implicit Function Theorem / A.3：
Regular and Singular Values: Sard's Theorem / A.4：
Ordinary Differential Equations / B：
Existence and Uniqueness of Solutions of Ordinary Differential Equations / B.1：
Dependence of Solutions on Initial Conditions and Parameters / B.2：
An Introduction to Differentiable Manifolds / C：
Embedded Submanifolds of Rk / C.1：
Manifolds: The General Case / C.2：
Tangent and Cotangent Spaces / C.3：
Vector Fields and Lie Brackets / C.4：
Some Facts from Real Analysis / D：
Lebesgue Measure and Lebesgue Measurable Functions in Rn / D.1：
The Lebesgue Integral in Rn / D.2：
Lp -Spaces / D.3：
Solutions to Ordinary Differential Equations with Lebesgue Measurable Right-Hand Sides / D.4：
References
Index
The Calculus of Variations: A Historical Perspective / 1：
The Brachistochrone Problem / 1.1：
The Euler-Lagrange Equation / 1.2：
38.
ＥＢ
Ivan Jureta
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2011
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Introduction / 1：
Coordination and Advice / 2：
When There Is None / 2.1：
From Division of Labor to Dependence on Advice / 2.2：
Autonomy and Coordination / 2.3：
Coordination Through Advice / 2.4：
Advice in Political Coordination / 2.5：
Dictatorship and Consent / 2.5.1：
Under Democracy / 2.5.2：
Advice and Meta-Advice in Politics / 2.5.3：
Advice in Economic Coordination / 2.6：
Central Planning / 2.6.1：
Market / 2.6.2：
Homo Follis / 2.7：
Conceptual Analysis of Advice / 3：
Rigorous Definition / 3.1：
Ostensive and Intensional Definitions / 3.1.1：
Primitive Terms / 3.1.2：
Criteria from Standard Theory / 3.1.3：
Signs to Objects and Back, via Concepts / 3.2：
Signs / 3.2.1：
Objects and Concepts / 3.2.2：
Relating Signs, Objects, and Concepts / 3.2.3：
Sings, Objects, and Concepts, in Advice / 3.2.4：
Ontology and Primitive Terms / 3.3：
Ontology in Philosophy / 3.3.1：
On the Engineering of Ontologies / 3.3.2：
Advice, Defined / 3.4：
Initial Ontological Commitments / 3.4.1：
Advice in Communication, Communication as Action / 3.4.2：
Essential Properties of and Identity Criteria for Advice / 3.4.3：
What Advice Is Not, but May Refer To / 3.4.4：
Relativist's Conceptual Analysis / 3.5：
Interpretation of Advice / 4：
Open Reference / 4.1：
Vague Advice / 4.2：
Referent Lost / 4.3：
Kinds of Advice / 5：
Classification from a Model of Choice / 5.1：
Perfect and Bounded Rational Choice / 5.2：
Ontology of Decision Analysis / 5.2.1：
Ontology of Choice in Organized Anarchies / 5.2.2：
Ontology of Intervowen Organisational Choice / 5.2.3：
Intolerance for Substitutes / 5.3：
Probability Intolerance / 5.3.1：
Utility Intolerance / 5.3.2：
Decision Information / 5.4：
Revealed Intentional States / 5.4.1：
Decision Information Ontology / 5.4.2：
Synthesis of the Decision Information Ontology / 5.4.3：
Taxonomy of Advice / 5.5：
Whose Explanations? / 5.5.1：
Specialization of the Concept of Advice / 5.5.2：
Reinterpreting Advice / 5.6：
Advisor's Problem and Its Solutions / 6：
Advice from Simple Explanations and Predictions / 6.1：
Models of Advice: An Overview / 6.2：
Introductory Example / 6.2.1：
Overview of the Framework for the Modeling of Advice / 6.2.2：
Modeling Language / 6.3：
AML2 / 6.3.1：
AML1 / 6.3.2：
AML / 6.3.3：
A-nets / 6.3.4：
Why the Interest in Structure? / 6.3.5：
Formulation of the Advisor's Problem / 6.4：
Solving the Advisor's Problem / 6.5：
Criteria for a Robust Solution / 6.6：
Criteria for a Clear Solution / 6.7：
Criteria from Empirical Evidence / 6.8：
Perspectives / 7：
References
Index
Introduction / 1：
Coordination and Advice / 2：
When There Is None / 2.1：
39.
ＥＢ
出版情報:
AIP Conference Proceedings (American Institute of Physics) , AIP Publishing, 2011
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40.
ＥＢ
出版情報:
AIP Conference Proceedings (American Institute of Physics) , AIP Publishing, 2018
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41.
ＥＢ
出版情報:
ASME Digital Collection Conference Proceedings , ASME, 2015
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42.
ＥＢ
Ivan Jureta
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Introduction / 1：
Coordination and Advice / 2：
When There Is None / 2.1：
From Division of Labor to Dependence on Advice / 2.2：
Autonomy and Coordination / 2.3：
Coordination Through Advice / 2.4：
Advice in Political Coordination / 2.5：
Dictatorship and Consent / 2.5.1：
Under Democracy / 2.5.2：
Advice and Meta-Advice in Politics / 2.5.3：
Advice in Economic Coordination / 2.6：
Central Planning / 2.6.1：
Market / 2.6.2：
Homo Follis / 2.7：
Conceptual Analysis of Advice / 3：
Rigorous Definition / 3.1：
Ostensive and Intensional Definitions / 3.1.1：
Primitive Terms / 3.1.2：
Criteria from Standard Theory / 3.1.3：
Signs to Objects and Back, via Concepts / 3.2：
Signs / 3.2.1：
Objects and Concepts / 3.2.2：
Relating Signs, Objects, and Concepts / 3.2.3：
Sings, Objects, and Concepts, in Advice / 3.2.4：
Ontology and Primitive Terms / 3.3：
Ontology in Philosophy / 3.3.1：
On the Engineering of Ontologies / 3.3.2：
Advice, Defined / 3.4：
Initial Ontological Commitments / 3.4.1：
Advice in Communication, Communication as Action / 3.4.2：
Essential Properties of and Identity Criteria for Advice / 3.4.3：
What Advice Is Not, but May Refer To / 3.4.4：
Relativist's Conceptual Analysis / 3.5：
Interpretation of Advice / 4：
Open Reference / 4.1：
Vague Advice / 4.2：
Referent Lost / 4.3：
Kinds of Advice / 5：
Classification from a Model of Choice / 5.1：
Perfect and Bounded Rational Choice / 5.2：
Ontology of Decision Analysis / 5.2.1：
Ontology of Choice in Organized Anarchies / 5.2.2：
Ontology of Intervowen Organisational Choice / 5.2.3：
Intolerance for Substitutes / 5.3：
Probability Intolerance / 5.3.1：
Utility Intolerance / 5.3.2：
Decision Information / 5.4：
Revealed Intentional States / 5.4.1：
Decision Information Ontology / 5.4.2：
Synthesis of the Decision Information Ontology / 5.4.3：
Taxonomy of Advice / 5.5：
Whose Explanations? / 5.5.1：
Specialization of the Concept of Advice / 5.5.2：
Reinterpreting Advice / 5.6：
Advisor's Problem and Its Solutions / 6：
Advice from Simple Explanations and Predictions / 6.1：
Models of Advice: An Overview / 6.2：
Introductory Example / 6.2.1：
Overview of the Framework for the Modeling of Advice / 6.2.2：
Modeling Language / 6.3：
AML2 / 6.3.1：
AML1 / 6.3.2：
AML / 6.3.3：
A-nets / 6.3.4：
Why the Interest in Structure? / 6.3.5：
Formulation of the Advisor's Problem / 6.4：
Solving the Advisor's Problem / 6.5：
Criteria for a Robust Solution / 6.6：
Criteria for a Clear Solution / 6.7：
Criteria from Empirical Evidence / 6.8：
Perspectives / 7：
References
Index
Introduction / 1：
Coordination and Advice / 2：
When There Is None / 2.1：
43.
ＥＢ
Ryuji Okazaki
出版情報:
SpringerLink Books - AutoHoldings , Springer Japan, 2013
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44.
ＥＢ
Peter Mittelstaedt
出版情報:
SpringerLink Books - AutoHoldings , Springer Netherlands, 2011
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Rise and Fall of Physical Theories / 1：
The Evolution of Modern Physics from the Classical World / 1.1：
Intuitiveness and Truth of Modern Physics / 1.2：
The New Approach: Reduction and Elimination of Metaphysical Hypotheses / 1.3：
Reconstruction of Special and General Relativity / 2：
Historical Development Versus Rational Reconstruction / 2.1：
Reconstruction of Special Relativity / 2.2：
Transformations Between Inertial Systems / 2.2.1：
Digression: Derivation of the Galilei Transformation / 2.2.2：
End of the Digression / 2.2.3：
Space-Time Intervals and Relativistic Mechanics / 2.3：
Measurements of Space-Time Intervals / 2.3.1：
Relativistic Kinematics and Dynamics / 2.3.2：
The Numerical Value of the Constant ?: The First Answer to the Problem / 2.4：
The Invariance of the Einstein-Synchronisation / 2.4.1：
Time Dilatation / 2.4.2：
Could Special Relativity Have Been Discovered Already by Newton? / 2.5：
A Pseudo-Historical Digression / 2.5.1：
The Attempt to Reconstruct General Relativity / 2.6：
The Pseudo-Riemannian Character of Space-Time / 2.6.1：
Einstein's Field Equations / 2.6.2：
Conclusion / 2.7：
Reconstruction of Quantum Mechanics / 3：
The Historical Development of Quantum Mechanics / 3.1：
The Reduction of Ontological Hypotheses / 3.2：
The Formal Languages of Classical Physics and of Quantum Physics / 3.3：
The Formal Language of Classical Physics / 3.3.1：
The Formal Language of Quantum Physics / 3.3.2：
The Approach to Orthomodular Quantum Logic / 3.4：
The Bottom-up Reconstruction of Quantum Mechanics in Hilbert Space / 3.5：
Physics of Indistinguishable Objects / 3.6：
Are the Laws of Quantum Logic Laws of Nature? / 3.7：
Quantum Physics and Classical Physics-Their Respective Roles / 3.8：
Three Constants of Nature / 4：
The Problem of Constants of Nature in Modern Physics / 4.1：
The Meaning of the Constant "c" in Special Relativity / 4.2：
Preliminary Remarks / 4.2.1：
Metaphysics and Ontology / 4.2.2：
The Meaning of the Constant ? / 4.2.3：
One More Fundamental Question / 4.2.5：
Planck's Constant $$$ in the Light of Quantum Logic / 4.3：
Ontological Preliminaries / 4.3.1：
The Quantum Logic Approach / 4.3.2：
In Search of Planck's Constant / 4.3.3：
The Meaning of $$$ in the Quantum World / 4.3.4：
The Problem of the Gravitational Constant ? / 4.4：
Three Constants of Nature: Concluding Remarks / 4.5：
Interpretations of Modern Physics / 5：
Introductory Remarks / 5.1：
Two Interpretations / 5.2：
The Interpretation of the Theory of Special Relativity / 5.2.1：
Interpreting Quantum Mechanics / 5.2.2：
Summary / 5.3：
Concluding Remarks / 6：
Intuitiveness and Truth in Physical Theories / 6.1：
References
Index
Rise and Fall of Physical Theories / 1：
The Evolution of Modern Physics from the Classical World / 1.1：
Intuitiveness and Truth of Modern Physics / 1.2：
45.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Standards , IEEE, 2015
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46.
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出版情報:
IEEE Electronic Library (IEL) Standards , IEEE, 2015
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47.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Standards , IEEE, 2010
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48.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Standards , IEEE, 2013
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49.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2011
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50.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2018
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51.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2017
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52.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2017
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53.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2019
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54.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2017
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55.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2018
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56.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2013
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57.
ＥＢ
Dagmar Bruss, Gerd Leuchs
出版情報:
Wiley Online Library - AutoHoldings Books , John Wiley & Sons, Inc., 2019
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58.
図書
edited by Tito Trindade, Ana L. Daniel da Silva
出版情報:
Singapore : Pan Stanford Publishing, c2011 xxii, 289, 4 p. ; 24 cm
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List of Figures
List of Tables
Preface
From Nanoparticles to Nanocomposites: A Brief Overview / 1：
Nanoscience and Nanotechnology: An introduction / 1.1：
Nanoparticles' Diversity / 1.2：
Quantum dots / 1.2.1：
Iron oxides / 1.2.2：
Metal nanoparticles / 1.2.3：
Surface Modification of Nanoparticles / 1.3：
Ligand exchange reactions / 1.3.1：
Inorganic nanocoating / 1.3.2：
Encapsulation in polymers / 1.3.3：
Designing Biointerfaces over Nanoparticles / 1.4：
Challenges for the Future... Nanosafety for Today / 1.5：
Polymers for Biomedical Applications: Chemical Modification and Biofunctionalization / 2：
Drug Delivery Systems / 2.1：
Hydrogels / 2.2：
Application of hydrogels / 2.2.1：
Types of hydrogels / 2.2.2：
Bioadhesives / 2.3：
Surface Modification / 2.4：
Surface modification by ultra-violet radiation / 2.4.1：
Plasma treatment / 2.4.2：
Plasma generation / 2.4.2.1：
Plasma polymerization and surface modification of polymers / 2.4.2.2：
Concluding Remarks / 2.5：
Nanocapsules as Carriers for the Transport and Targeted Delivery of Bioactive Molecules / 3：
Introduction / 3.1：
Polymeric Nanocapsules: Production and Characterization / 3.2：
Nanocapsules made of synthetic polymers / 3.2.1：
Polyacrylate nanocapsules / 3.2.1.1：
Polyester nanocapsules / 3.2.1.2：
Nanocapsules made of natural polymers / 3.2.2：
Lipid nanocapsules / 3.2.3：
Therapeutical Applications of Nanocapsules / 3.3：
Nanocapsules for oral drug delivery / 3.3.1：
Nanocapsules for oral peptide delivery / 3.3.1.1：
Nanocapsules for oral delivery of lipophilic low molecular weight drugs / 3.3.1.2：
Nanocapsules as nasal drug carriers / 3.3.2：
Nanocapsules as ocular drug carriers / 3.3.3：
Nanocapsules in cancer therapy / 3.3.4：
Nanocapsules as carriers for gene therapy / 3.3.5：
Conclusions / 3.4：
Inorganic Nanoparticles Biofunctionalization / 4：
Bioeonjugation of Nanoparticles / 4.1：
Nanoparticles and Their Surface Properties / 4.2：
Surface capping of nanoparticles / 4.2.1：
Semiconductor quantum dots and metallic nanoparticles / 4.2.2：
Silica nanoparticles and silica encapsulation / 4.2.3：
Attachment Schemes / 4.3：
Covalent attachment / 4.3.1：
Non-covalent attachment / 4.3.2：
Affinity binding / 4.3.3：
Specific Cases / 4.4：
Proteins / 4.4.1：
DNA / 4.4.2：
Avidin / 4.4.3：
Phospholipid encapsulation and functionalization / 4.4.4：
Applications / 4.5：
Cellular imaging / 4.5.1：
Drug delivery / 4.5.2：
Bioluminescence resonance energy transfer / 4.5.3：
Hyperthermia / 4.5.4：
Conclusion / 4.6：
Silica-Based Materials: Bioprocesses and Nanocomposites / 5：
Natural Silica Nanocomposites / 5.1：
Diatom biosilica / 5.1.1：
Sponge biosilica / 5.1.3：
(Bio)-technological applications of biosilica / 5.1.4：
Biomimetic Silica Nanocomposites / 5.2：
Silica nanocomposites based on natural templates / 5.2.1：
Silica nanocomposites based on model templates / 5.2.3：
Synthetic peptides / 5.2.3.1：
Synthetic polyamines / 5.2.3.2：
Biological templates / 5.2.3.3：
Biomimetism: How far can we go? / 5.2.4：
Bio-Inspired Silica Nanocomposites / 5.3：
Biotechnological and medical applications / 5.3.1：
Perspectives / 5.3.3：
Synthetic Strategies for Polymer-Based Nanocomposite Particles / 6：
Surfaces and Interfaces: Chemical Modification of Nanoparticles / 6.1：
In situ Synthetic Strategies for Polymer-Based Colloidal Nanocomposites / 6.3：
In situ preparation of the fillers / 6.3.1：
Sol-gel methods / 6.3.1.1：
In situ polymerization of the matrix / 6.3.2：
Organic solvent-based methods: Dispersion polymerization / 6.3.2.1：
Water-based methods: Emulsion and miniemulsion polymerization / 6.3.2.2：
Controlled polymerization: Surface initiated polymerization(SIP) / 6.3.3：
Atom Transfer Radical Polymerization Atrp / 6.3.3.1：
Reversible Addition Fragmentation chain transfer (Raft) polymerization / 6.3.3.2：
Combined controlled polymerization mechanisms / 6.3.3.3：
Functionalization of Polymer-Based Nanocomposites for Bio-Applications / 6.4：
Final Remarks / 6.5：
Synthesis of Nanocomposite Particles Using Supercritical Fluids: A Bridge with Bio-applications / 7：
Supercritical Fluids: Definition and Current use in, Bio-Applications / 7.1：
Definition / 7.2.1：
Scps in biomedical applications / 7.2.2：
Development of drug delivery systems / 7.2.2.1：
scC02 for purification and sterilization / 7.2.2.2：
Can Scfs be Used to Introduce Inorganic NPs into Polymers? / 7.3：
Formation of hybrid organic-inorganic NPs in Scps(route 1) / 7.3.1：
Encapsulation of inorganic NPs into a polymer shell (route 2) / 7.3.2：
Polymer swelling and in situ growth of inorganic NPs (route 3) / 7.3.3：
Polymer swelling by scC02 / 7.3.3.1：
Chemical transformation of impregnated metal precursor / 7.3.3.2：
Biocomposites Containing Magnetic Nanoparticles / 7.4：
Magnetic Properties / 8.1：
Magnetism at nanoscale level: Concepts and main phenomena / 8.2.1：
Basic concepts / 8.2.1.1：
Systems with interactions between magnetic centers / 8.2.1.2：
Superparamagnetism / 8.2.1.3：
Magnetism concepts subjacent to bio-applicatons / 8.2.2：
Magnetic separation and drug delivery / 8.2.2.1：
Magnetic resonance imaging (Mri) / 8.2.2.2：
Magnetic hyperthermia / 8.2.2.3：
Magnetic Nanoparticles for Bio-Applications / 8.3：
Iron oxide nanoparticles / 8.3.1：
Metallic nanoparticles / 8.3.2：
Metal alloy nanoparticles / 8.3.3：
Bimagnetic nanoparticles / 8.3.4：
Strategies of Synthesis of Magnetic Biocomposite Nanoparticles / 8.4：
In situ formation of magnetic nanoparticles / 8.4.1：
Other magnetic nanoparticles / 8.4.1.1：
Encapsulation of magnetic nanoparticles within biopolymers / 8.4.2：
Conclusions and Future Outlook / 8.5：
Multifunctional Nanoeomposite Particles for Biomedical Applications / 9：
Types of Multifunctional Magnetic-Fluorescent Nanocomposites / 9.1：
Main Approaches to the Preparation of Multifunctional Magnetic-Fluorescent Nanocomposites / 9.3：
Silica coated magnetic-fluorescent nanoparticles / 9.3.1：
Organic polymer coated magnetic cores treated with fluorescent entities / 9.3.2：
Ionic assemblies of magnetic cores and fluorescent entities / 9.3.3：
Fluoreseently-labeled lipid coated magnetic nanoparticles / 9.3.4：
Magnetic core directly linked to fluorescent entity via a molecular spacer / 9.3.5：
Magnetic cores coated by fluorescent semiconducting shells / 9.3.6：
Magnetically-doped Qds / 9.3.7：
Magnetic nanoparticles and Qds embedded within a polymer or silica matrix / 9.3.8：
Biomedical Applications / 9.4：
Bio-imaging probes / 9.4.1：
Cell tracking, sorting and bioseparation / 9.4.2：
Applications in nanomedicine / 9.4.3：
Bio-Applications of Functionalized Magnetic Nanoparticles and Their Nanocomposites / 9.5：
Fundaments of Nanomagnetism / 10.1：
Single-domain particles / 10.2.1：
Magnetic anisotropy energy / 10.2.2：
Fundaments of Colloidal Stability / 10.2.3：
Bio-Applications of Magnetic Nanoparticles / 10.4：
Magnetic separation / 10.4.1：
Nuclear magnetic resonance imaging (Mri) / 10.4.2：
Contrast agents based on superparamagnetic nanomagnets / 10.4.3.1：
Magnetobiosensors / 10.4.4：
Magnetobiosensors based on magnetorelaxometry / 10.4.4.1：
Magnetobiosensors based on magnetoresistance / 10.4.4.2：
Magnetosensors based on Hall effect / 10.4.4.3：
Magnetoplasmonics / 10.4.4.4：
Summary and Outlook / 10.4.5：
Anti-Microbial Polymer Nanocomposites / 11：
Packaging / 11.1：
Textiles / 11.1.2：
Coatings / 11.1.3：
Antimicrobial coatings / 11.1.3.1：
Medicine, pathology and surgical implants/ biomedical coatings / 11.1.3.2：
Anti-Microbial Polymer-Based Nanocomposites / 11.2：
Mechanisms of Antibacterial Action / 11.3：
Detection of microbes / 11.3.1：
Control of microbial growth / 11.3.2：
Environmental and Health Concerns / 11.4：
Biosensing Applications Using Nanoparticles / 12：
Biosensors: A Definition / 12.1：
Uses of Gold Nanoparticles / 12.2：
Tailoring biointerfaces over gold nanoparticles / 12.2.1：
Biosensing applications of gold nanoparticles / 12.2.2：
Crosslinking-based biosensing / 12.2.2.1：
Non-crosslmking-based biosensing / 12.2.2.2：
Semiconductor Quantum Dots / 12.3：
Properties of quantum dots / 12.3.1：
Biosensing with quantum dots / 12.3.2：
Immunosensing / 12.3.2.1：
Dna assays / 12.3.2.2：
Resonance energy transfer-based assays / 12.3.2.3：
Outlook Remarks / 12.4：
Index
List of Figures
List of Tables
Preface
59.
図書
Daniel Minoli
出版情報:
Boca Raton, Fla. : CRC Press, c2011 xiv, 302 p., [24] p. of plates ; 24 cm
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Preface
The Author
Introduction / Chapter 1：
Overview / 1.1：
Background and Opportunities / 1.2：
Course of Investigation / 1.3：
References
Bibliography
Some Basic Fundamentals of Visual Science / Chapter 2：
Stereo Vision Concepts / 2.1：
Stereoscopy / 2.1.1：
Binocular Depth Perception and Convergence / 2.1.2：
Cyclopean Image / 2.1.3：
Accommodation / 2.1.4：
Parallax Concepts / 2.2：
Parallax / 2.2.1：
Parallax Barrier and Lenticular Lenses / 2.2.2：
Other Concepts / 2.3：
Polarization / 2.3.1：
Chromostereopsis / 2.3.2：
3D Imaging / 2.3.3：
Occlusion and Scene Reconstruction / 2.3.4：
Conclusion / 2.4：
Analytical 3D Aspects of the Human Visual System / Appendix 2A：
Theory of Stereo Reproduction / 2A.1：
Analytics / 2A.2：
Depth Perception / 2A.2.1：
Geometry of Stereoscopic 3D Displays / 2A.2.2：
Geometry of Stereo Capturing / 2A.2.3：
Stereoscopic 3D Distortions / 2A.2.4：
Workflow of Conventional Stereo Production / 2A.3：
Basic Rules and Production Grammar / 2A.3.1：
Example / 2A.3.2：
Application of Visual Science Fundamentals to 3DTV / Chapter 3：
Application of the Science to 3D Projection/3DTV / 3.1：
Common Video Treatment Approaches / 3.1.1：
Projections Methods for Presenting Stereopairs / 3.1.2：
Polarization, Synchronization, and Colorimetrics / 3.1.3：
Autostereoscopic Viewing / 3.2：
Lenticular Lenses / 3.2.1：
Parallax Barriers / 3.2.2：
Other Longer-Term Systems / 3.3：
Multi-Viewpoint 3D Systems / 3.3.1：
Integral Imaging/Holoscopic Imaging / 3.3.2：
Holographic Approaches / 3.3.3：
Volumetric Displays/Hybrid Holographic / 3.3.4：
Viewer Physiological Issues with 3D Content / 3.4：
The Accommodation Problem / 3.4.1：
Infinity Separation / 3.4.2：
Conclusion and Requirements of Future 3DTV / 3.5：
Basic 3DTV Approaches for Content Capture and Mastering / Chapter 4：
General Capture, Mastering, and Distribution Process / 4.1：
3D Capture, Mastering, and Distribution Process / 4.2：
Content Acquisition / 4.2.1：
3D Mastering / 4.2.2：
Spatial Compression / 4.2.2.1：
Temporal Multiplexing / 4.2.2.2：
2D in Conjunction with Metadata (2D+M) / 4.2.2.3：
Color Encoding / 4.2.2.4：
Overview of Network Transport Approaches / 4.3：
MPEG Standardization Efforts / 4.4：
Additional Details on 3D Video Formats / Appendix 4A：
Conventional Stereo Video (CSV) / 4A.1：
Video plus Depth (V+D) / 4A.2：
Multiview Video plus Depth (MV+D) / 4A.3：
Layered Depth Video (LDV) / 4A.4：
3D Basic 3DTV Approaches and Technologies for In-Home Display of Content / Chapter 5：
Connecting the In-Home Source to the Display / 5.1：
3DTV Display Technology / 5.2：
Commercial Displays Based on Projection / 5.2.1：
Commercial Displays Based on LCD and PDP Technologies / 5.2.2：
LCD 3DTV Polarized Display / 5.2.3：
Summary of 3DTV Polarized Displays / 5.2.4：
Glasses Accessories / 5.2.5：
Other Display Technologies / 5.3：
Autostereoscopic Systems with Parallax Support in the Vertical and Horizontal Axes / 5.3.1：
Autostereoscopic Systems for PDAs / 5.3.2：
Primer on Cables/Connectivity for High-End Video / 5.4：
In-Home Connectivity Using Cables / 5A.1：
Digital Visual Interface (DVI) / 5A.1.1：
High-Definition Multimedia Interface" (HDMI") / 5A.1.2：
DisplayPort / 5A.1.3：
In-Home Connectivity Using Wireless Technology / 5A.2：
Wireless Gigabit Alliance / 5A.2.1：
WirelessHD / 5A.2.2：
Other Wireless / 5A.2.3：
3DTV Advocacy and System-Level Research Initiatives / Chapter 6：
3D Consortium (3DC) / 6.1：
3D@Home Consortium / 6.2：
3D Media Cluster / 6.3：
3DTV / 6.4：
Challenges and Players in the 3DTV Universe / 6.5：
European Information Society Technologies (IST) Project "Advanced Three-Dimensional Television System Technologies" (ATTEST) / 6.5.1：
3D Content Creation / 6.5.1.1：
3D Video Coding / 6.5.1.2：
Transmission / 6.5.1.3：
Virtual-View Generation and 3D Display / 6.5.1.4：
3DPhone / 6.5.2：
Mobile3DTV / 6.5.3：
Real3D / 6.5.4：
HELIUM3D (High Efficiency Laser Based Multi User Multi Modal 3D Display) / 6.5.5：
The MultiUser 3D Television Display (MUTED) / 6.5.6：
3D4YOU / 6.5.7：
3DPresence / 6.5.8：
Audio-Visual Content Search and Retrieval in a Distributed P2P Repository (Victory) / 6.5.9：
Victory in Automotive Industry / 6.5.9.1：
Victory in Game Industry / 6.5.9.2：
2020 3D Media / 6.5.10：
i3DPost / 6.5.11：
Glossary
Index
Preface
The Author
Introduction / Chapter 1：
60.
図書
Detlev Möller
目次情報:
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Preface to the first edition
Author's preface to the third edition
Author's preface to the second edition
Prologue
List of principal symbols
Introduction / 1：
Chemistry and the climate system / 1.1：
Air and atmosphere: a multiphase and multicomponent system / 1.2：
Principles of chemistry in the climate system / 1.3：
Substances in climate system / 1.4：
Fundamentals of physics in the climate system / 2：
Meteorological basics / 2.1：
Scaling and structure of the atmosphere / 2.1.1：
Meteorological elements / 2.1.2：
Air pressure / 2.1.2.1：
Air temperature / 2.1.2.2：
Air humidity / 2.1.2.3：
Hydrometeors / 2.1.3：
Clouds / 2.1.3.1：
Fog, mist, and haze / 2.1.3.2：
Precipitation / 2.1.3.3：
Dew, frost, rime, and interception / 2.1.4：
Clirnatologtcai basics / 2.2：
Climate / 2.2.1：
Climate system / 2.2.2：
Chemical climate / 2.2.3：
Optics of the atmosphere: Radiation / 2.3：
Solar radiation / 2.3.1：
The Sun and its radiation output / 2.3.1.1：
Solar radiation transfer through the atmosphere / 2.3.1.2：
Absorption and emission of light / 2.3.2：
Absorption (Lambert-Beer law) / 2.3.2.1：
Emission (Planck's law and Stefan-Boltzmann law) / 2.3.2.2：
Terrestrial radiation and radiation budget / 2.3.3：
Atmospheric dynamics / 2.4：
Fluid characteristics / 2.4.1：
Effective atmospheric forces / 2.4.1.1：
Atmospheric flow: Laminar and turbulent / 2.4.1.2：
Fluid characteristics: Wind speed and direction / 2.4.1.3：
Properties of gases: The ideal gas / 2.5：
Gas laws / 2.5.1：
Mean free path and number of collisions between molecules / 2.5.2：
Viscosity / 2.5.3：
Diffusion / 2.5.4：
Atmospheric removal: Deposition processes / 2.6：
Dry deposition / 2.6.1：
Wet deposition / 2.6.2：
Characteristic times; Residence time, lifetime, and turnover time / 2.7：
Fundamentals of physicochemistry in the climate system / 3：
Chemical thermodynamics / 3.1：
First law of thermodynamics and its applications / 3.1.1：
Internal energy / 3.1.1.1：
Molar heat capacity / 3.1.1.2：
Thermochemistry: Heat of chemical reaction / 3.1.1.3：
Second law of thermodynamics and its applications / 3.1.2：
Entropy and reversibility / 3.1.2.1：
Thermodynamic potential: Gibbs-Helmholtz equation / 3.1.2.2：
Chemical potential / 3.1.2.3：
Chemical potential in real mixtures: Activity / 3.1.2.4：
Equilibrium / 3.2：
Chemical equilibrium: The mass action law / 3.2.1：
Phase equilibrium / 3.2.2：
Gas-liquid equilibrium: Evaporation and condensation / 3.2.2.1：
Gas-liquid equilibrium: Special case of droplets (Kelvin equation) / 3.2.2.2：
Absorption of gases in water: Henry's law / 3.2.2.3：
Solubility equilibrium: Solid-aqueous equilibrium / 3.2.2.4：
Adsorption and desorption / 3.2.2.5：
Steady state / 3.3：
Water: Physical and chemical properties / 3.4：
Water structure: Hydrogen bond / 3.4.1：
Water as solvent / 3.4.2：
Water vapor / 3.4.3：
Water properties in relation to the climate system / 3.4.4：
Properties of solutions and droplets / 3.5：
Surface tension and surface-active substances / 3.5.1：
Vapor pressure lowering: Raoult's law / 3.5.2：
Freezing point depression / 3.5.3：
Diffusion in solution / 3.5.4：
Heterogeneous processes: Multiphase chemistry in the climate system / 3.6：
Aerosols, clouds, and precipitation: The climate multiphase system / 3.6.1：
Gas-to-particle formation: Homogeneous formation of CCNs / 3.6.2：
Classical nucleation theory / 3.6.2.1：
Formation of secondary organic aerosols / 3.6.2.2：
Atmospheric aerosols and the properties of aerosol particles / 3.6.3：
Formation of cloud droplets: Heterogeneous nucleation / 3.6.4：
Scavenging: Acommodation, adsorption, and reaction (mass transfer) / 3.6.5：
Mass transfer: General remarks / 3.6.5.1：
Adsorption / 3.6.5.2：
Surface chemistry: Kinetics of heterogeneous chemical reactions / 3.6.5.3：
Mass transfer into droplets with chemical reaction / 3.6.5.4：
Fundamentals of chemistry in the climate system / 4：
State of matter / 4.1：
Atoms, elements, molecules, compounds, and substances / 4.1.1：
Pure substances and mixtures / 4.1.2：
Radicals, groups, and nomenclature / 4.1.3：
Units for chemical abundance: Concentrations and mixing ratios / 4.1.4：
Theory of chemical reactions / 4.2：
Chemical bonding / 4.2.1：
Types of chemical reactions / 4.2.2：
Chemical kinetics: Reaction rate constant / 4.2.3：
Catalysis / 4.3：
Electrochemistry / 4.4：
Electrolytic dissociation / 4.4.1：
Acids, bases, and the ionic product of water / 4.4.1.1：
pH value / 4.4.1.2：
Hydrolysis of salts and oxides / 4.4.1.3：
Buffer solutions / 4.4.1.4：
Complex ions / 4.4.1.5：
The CO2 -carbonate system / 4.4.1.6：
Oxidation-reduction reaction (redox process) / 4.4.2：
Hydrated electron: A fundamental species / 4.4.3：
Photochemistry / 4.5：
Photoexcitation: Electronic states / 4.5.1：
Photodissociation: Photolysis rate coefficient / 4.5.2：
Photocatalysis: Photosensitization and autoxidation / 4.5.3：
Environmental relevance of acidity / 4.6：
Atmospheric acidity / 4.6.1：
pH averaging / 4.6.2：
Isotopes in atmospheric chemistry and geochemistry / 4.7：
Substaces and chemical reactions in the climate system / 5：
Hydrogen / 5.1：
Natural occurrence / 5.1.1：
Compounds of hydrogen / 5.1.2：
Chemistry / 5.1.3：
Oxygen / 5.2：
Oxygen, dioxygen, and ozone: O, O2 , and O3 / 5.2.1：
Reactive oxygen species I: OH, HO2 , and H2 O2 (Hx Oy species) / 5.2.3：
Atmosphere, free of trace species / 5.2.3.1：
Atmosphere with trace species / 5.2.3.2：
Reactive oxygen species II: RO, RO2 , and ROOH / 5.2.4：
Aqueous-phase oxygen chemistry / 5.2.5：
Water chemistry / 5.2.5.1：
Dioxygen and superoxide ion chemistry / 5.2.5.2：
Hydrogen peroxide chemistry / 5.2.5.3：
Ozone and hydroxyl radical chemistry / 5.2.5.4：
Hydrogen polyoxides / 5.2.5.5：
Multiphase oxygen chemistry / 5.2.6：
Hydrogen peroxide / 5.2.6.1：
Ozone / 5.2.6.2：
Stratospheric oxygen chemistry / 5.2.7：
Nitrogen / 5.3：
Natural occurrence and sources / 5.3.1：
Thermal dissociation of dinitrogen (N2 ) / 5.3.2：
Ammonia (NH3 ) / 5.3.3：
Dinitrogen oxide (N2 O) / 5.3.4：
Inorganic nitrogen oxides and oxoacids (NOy ) / 5.3.5：
Gas-phase chemistry / 5.3.3.1：
Aqueous and interfacial chemistry / 5.3.5.2：
Organic nitrogen compounds / 5.3.6：
Amines, amides, and nitriles / 5.3.6.1：
Organic NOx compounds / 5.3.6.2：
Sulfur / 5.4：
Reduced sulfur: H2 S, COS, CS2 , and DMS / 5.4.1：
Oxides and oxoacids: SO2 , H2 SO3 , SO3 , and H2 SO4 / 5.4.3：
Gas-phase SO2 oxidation / 5.4.3.1：
Aqueous-phase sulfur chemistry / 5.4.3.2：
Multiphase sulfur chemistry / 5.4.4：
Phosphorus / 5.5：
Carbon / 5.6：
Organic carbon and chemistry / 5.6.1：
Elemental carbon and soot / 5.6.2：
Inorganic C1 chemistry: CO, CO2 , and H2 CO3 / 5.6.3：
Aqueous chemistry / 5.6.3.1：
Hydrocarbon oxidation and organic radicals / 5.6.4：
Organic C1 chemistry: CH4 , CH3 OH, HCHO, HCOOH / 5.6.5：
C2 chemistry: C2 H6 , CH3 CHO, C2 H5 OH, CH3 COOH, and (COOH)2
Alkenes, atkynes, and ketones / 5.6.6.1：
Aromatic compounds / 5.6.8：
Is the atmospheric fate of complex organic compounds predictable? / 5.6.9：
Halogens (Cl, Br, F, and I) / 5.7：
Chlorine in the environment / 5.7.1：
Formation of sea salt and chlorine degassing / 5.7.2：
Metals and metalloids / 5.7.3：
General remarks / 5.8.1：
Alkali and alkaline earth metals: Na, K, Mg, and Ca / 5.8.2：
Iron: Fe / 5.8.3：
Mercury: Hg / 5.8.4：
Cadmium: Cd / 5.8.5：
Lead: Pb / 5.8.6：
Arsenic: As / 5.8.7：
Silicon (Si) and aluminum (Al) / 5.8.8：
Biogeochemistry and global cycling / 6：
The hydrosphere and the global water cycle / 6.1：
The hydrological cycle and the climate system / 6.1.1：
Soil water and groundwater; Chemical weathering / 6.1.2：
Surface water: Rivers and lakes / 6.1.3：
The oceans / 6.1.4：
Atmospheric waters (hydrometeors): Chemical composition / 6.1.5：
Fog / 6.1.5.1：
Rain (precipitation) / 6.1.5.3：
Biogeochemical cycling / 6.2：
Photosynthesis: Nonequilibrium redox processes / 6.2.1：
Primary production of carbon / 6.2.2：
Nitrogen cycling / 6.2.3：
Sulfur cycling / 6.2.4：
Natural sources of atmospheric substances / 6.3：
Source characteristics / 6.3.1：
Biological processes / 6.3.2：
Continental / 6.3.2.1：
Oceanic / 6.3.2.2：
Geogenic processes / 6.3.3：
Soil dust / 6.3.3.1：
Sea salt / 6.3.3.2：
Volcanism / 6.3.3.3：
Chemical processes / 6.3.4：
Lightning / 6.3.4.1：
Secondary atmospheric processes / 6.3.4.2：
List of acronyms and abbreviations used in this volume / A：
Quantities, units, and some useful numerical values / B：
References
Name Index
Subject Index
Preface to the first edition
Author's preface to the third edition
Author's preface to the second edition
61.
図書
edited by Caitlin H. Bell ... [et al.]
出版情報:
Boca Raton : CRC Press, c2019 xxix, 439 p. ; 24 cm
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List of Figures
List of Tables
Foreword
Acknowledgments
Editors
Contributors
Introduction to Emerging Contaminants / Chapter 1：
Introduction / 1.1：
Who Identifies Emerging Contaminants? / 1.2：
United States Environmental Protection Agency / 1.2.1：
United States Department of Defense / 1.2.2：
United States Geologic Survey / 1.2.3：
State Agencies in the United States / 1.2.4：
Stockholm Convention on Persistent Organic Pollutants / 1.2.5：
European Union / 1.2.6：
Australian National Environment Protection Council / 1.2.7：
What is the Life Cycle of an Emerging Contaminant? / 1.3：
What are the Key Challenges Associated with Emerging Contaminants? / 1.4：
The Need for Balance / 1.5：
This Book / 1.6：
Acronyms
1,4-Dioxane / Chapter 2：
Basic Information / 2.1：
Toxicity and Risk Assessment / 2.3：
Potential Noncancer Effects / 2.3.1：
Potential Cancer Effects / 2.3.2：
Regulatory Status / 2.4：
Site Characterization / 2.5：
Investigation Approaches / 2.5.1：
Analytical Methods / 2.5.2：
Advanced Investigation Techniques / 2.5.3：
Soil Treatment / 2.6：
Groundwater Treatment / 2.7：
In Situ Treatment / 2.7.1：
In Situ Chemical Oxidation / 2.7.1.1：
Bioremediation / 2.7.1.2：
Phytoremediation / 2.7.1.3：
Thermal Treatment / 2.7.1.4：
Ex Situ Treatment and Dynamic Groundwater Recirculation / 2.7.2：
Natural Attenuation / 2.7.3：
Drinking Water and Wastewater Treatment / 2.8：
Point-of-Use and Point-of-Entry Treatment / 2.8.1：
1.4-Dioxane Treatment Technologies for Drinking Water Treatment and Ex Situ Groundwater Remediation / 2.9：
Advanced Oxidation Processes / 2.9.1：
Bioreaetors / 2.9.2：
Granular Activated Carbon and Other Sorbenl Media / 2.9.3：
Electrochemical Oxidation / 2.9.4：
Conclusion / 2.10：
Per- and Polyfluoroalkyl Substances / Chapter 3：
PFASs Chemistry / 3.1：
Ionic State / 3.2.1：
Linear and Branched Isomers / 3.2.2：
Perfluoroalkyl Substances / 3.2.3：
Perfluoroalkyl Sulfonic Acids / 3.2.3.1：
Perfluoroalkyl Carboxylic Acids / 3.2.3.2：
Perfluoroalkyl Phosphonic and Phosphinic Acids / 3.2.3.3：
Perfluoroalkyl Ether Carboxylates and Perfluoroalkyl Ether Sulfonates / 3.2.3.4：
Polyfluoroalkyl Substances / 3.2.4：
ECF-Derived Polyfluoroalkyl Substances / 3.2.4.1：
Fluorotelomerizat ion-Derived Polyfluoroalkyl Substances / 3.2.4.2：
Long- and Short-Chain PFASs / 3.2.5：
Polymeric PFASs / 3.2.6：
Replacement PFASs / 3.2.7：
Chemistry of PFASs in Class B Firefighting Foams / 3.2.8：
Physical, Chemical, and Biological Properties / 3.3：
Biological Activity Towards PFASs / 3.3.1：
Transformation of Polyfluoroalkyl Substances / 3.3.2：
Abiotic Transformation / 3.3.2.1：
Biotic Transformation / 3.3.2.2：
PFASs Production and Use / 3.4：
Manufacturing Processes and Uses / 3.4.1：
Electrochemical Fluorination / 3.4.2：
Fluorotelomerization / 3.4.3：
Oligomerization / 3.4.4：
Uses / 3.4.5：
Use as Surfactants / 3.4.5.1：
Use as Surface Coatings / 3.4.5.2：
Other Uses / 3.4.5.3：
Sampling and Analysis / 3.5：
General Sampling Guidelines / 3.5.1：
Soil and Sediment Sampling / 3.5.1.1：
Surface Water and Groundwater Sampling / 3.5.1.2：
Storage and Hold Times / 3.5.1.3：
Chemical Analysis Methods / 3.5.2：
Overview of Standard Methods / 3.5.2.1：
Advanced Analytical Techniques / 3.5.2.2：
Health Considerations / 3.6：
Exposure Routes / 3.6.1：
Distribution in Tissue / 3.6.2：
Bioaccumulation / 3.6.3：
Elimination / 3.6.4：
Toxicologic and Epidemiological Studies / 3.6.5：
Acute Toxicity / 3.6.5.1：
(Sub)Chronic Toxicity / 3.6.5.2：
Epidemiological Studies / 3.6.5.3：
Polyfluoroalkyl Substance Toxicity / 3.6.5.4：
Derivation of Reference Doses/Tolerable Daily Intakes / 3.6.5.5：
Carcinogenic Effects / 3.6.5.6：
Regulation / 3.7：
Regulation of PFASs / 3.7.1：
Global Treaties and Conventions / 3.7.1.1：
United States of America / 3.7.1.2：
Europe / 3.7.1.3：
Australia / 3.7.1.4：
Regulation of Perfluoroalkyl Ethers / 3.7.2：
Fate and Transport / 3.8：
PFAS Distribution in Environmental Matrices / 3.8.1：
PFASs in Soils / 3.8.1.1：
Leaching / 3.8.1.2：
Transport and Retardation in Groundwater / 3.8.1.3：
Surface Waters and Sediments / 3.8.1.4：
Vapor Migration / 3.8.1.5：
Atmospheric Deposition / 3.8.1.6：
Detections and Background Levels in the Environment / 3.8.2：
Sites of Concern / 3.8.3：
CSM for Industrial Facilities / 3.8.3.1：
CSM for Fire Training Areas and Class B Fire Response Areas / 3.8.3.2：
CSM for WWTPs and Biosolid Application Areas / 3.8.3.3：
CSM for Landfills / 3.8.3.4：
PFAS-Relevant Treatment Technologies / 3.9：
Biological Treatment / 3.9.1：
Soil and Sediment Treatment / 3.9.2：
Incineration / 3.9.2.1：
Stabilization/Solidification / 3.9.2.2：
Vapor Energy Generator Technology / 3.9.2.3：
Soil/Sediment Washing / 3.9.2.4：
High-Energy Electron Beam / 3.9.2.5：
Mechanochemical Destruction / 3.9.2.6：
Water Treatment / 3.9.3：
Mature Water Treatment Technologies / 3.9.3.1：
Developing Treatment Technologies / 3.9.3.2：
Experimental Treatment Technologies / 3.9.3.3：
Conclusions / 3.10：
Hexavalent Chromium / Chapter 4：
Geochemistry of Chromium / 4.1：
Sources of Cr(VI) / 4.1.2：
U.S. Federal Regulations / 4.2：
U.S. State Regulations / 4.3.2：
California / 4.3.2.1：
North Carolina / 4.3.2.2：
New Jersey / 4.3.2.3：
Other Countries / 4.3.3：
Occurrence of Cr(VI) / 4.4：
Naturally Occurring (Background) Cr(VI) in Groundwater / 4.4.1：
Cr(VI) in Drinking Water / 4.4.2：
Investigation of Cr(VI) in Groundwater / 4.5：
Chromium Isotopes / 4.5.2：
Mineralogical Analyses / 4.5.3.2：
In Situ Reduction / 4.6：
In Situ Chemical Reduction / 4.6.1.1：
In Situ Biological Reduction / 4.6.1.2：
Permeable Reactive Barriers / 4.6.1.3：
Reoxidation of Cr(III) Formed by In Situ Reduction / 4.6.1.4：
Ex Situ Treatment / 4.6.2：
Dynamic Groundwater Recirculation
Tier I / 4.6.4：
Tier II / 4.6.4.2：
Tier III / 4.6.4.3：
Tier IV / 4.6.4.4：
Drinking Water Treatment / 4.7：
Point-of-Entry and Point-of-Use Treatment / 4.7.1：
Cr(VI) Treatment Technologies for Drinking Water Treatment and Ex Situ Groundwater Remediation / 4.8：
Reduction/Coagulation/Filtration with Ferrous Iron / 4.8.1：
Ion Exchange / 4.8.2：
Weak Base Anion Resins / 4.8.2.1：
Strong Base Anion Resins / 4.8.2.2：
Reverse Osmosis / 4.8.3：
Bioreactors / 4.8.4：
Phytostabilization / 4.8.4.1：
Iron Media / 4.8.4.2：
Reduction/Filtration via Stannous Chloride (RF-Sn[II]) / 4.8.5：
1,2,3-Trichloropropane / 4.9：
International Guidance / 5.1：
Investigation / 5.4：
Groundwater Remediation Technologies / 5.4.2：
In Situ Hydrolysis / 5.5.1：
In Situ Biological Treatment / 5.5.1.2：
TCP Treatment Technologies for Drinking Water Treatment and Ex Situ Groundwater Remediation / 5.5.1.3：
Granular Activated Carbon / 5.7.1：
Air Stripping / 5.7.2：
Other Processes / 5.7.4：
Considerations for Future Contaminants of Emerging Concern / 5.8：
Categorizing Future Emerging Contaminants / 6.1：
The Challenges Posed in Emerging Contaminant Management / 6.3：
Challenges Associated with Release to the Environment / 6.3.1：
Challenges Associated with Assessing Toxicological Risk / 6.3.2：
Challenges Associated with Regulation / 6.3.3：
Challenges Associated with Characterization and Analysis / 6.3.4：
Challenges Associated with Treatment / 6.3.5：
The Future of Emerging Contaminants / 6.4：
Appendices
USEPA Candidate Contaminant List / Appendix A：
REACH Candidate List / Appendix B：
Emerging Contaminants and Their Physical and Chemical Properties / Appendix C：
NGI Preliminary List of Substances That Could Be Considered to Meet the PMT or vPvM Criteria / Appendix D：
Summary of PFAS Environmental Standards: Soil / Appendix E.1：
Summary of PFAS Environmental Standards: Groundwater / Appendix E.2：
Summary of PFAS Environmental Standards: Surface Water / Appendix E.3：
Summary of PFAS Environmental Standards: Drinking Water / Appendix E.4：
Notes / Appendix E.5：
Index
List of Figures
List of Tables
Foreword
62.
ＥＢ
Leo J. Grady, Jonathan R. Polimeni
出版情報:
Springer eBooks Computer Science , Springer London, 2010
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Discrete Calculus: History and Future / 1：
Discrete Calculus / 1.1：
Origins of Vector Calculus / 1.1.1：
Origins of Discrete Calculus / 1.1.2：
Discrete vs. Discretized / 1.1.3：
Complex Networks / 1.2：
Content Extraction / 1.3：
Organization of the Book / 1.4：
Intended Audience / 1.5：
A Brief Review of Discrete Calculus / Part I：
Introduction to Discrete Calculus / 2：
Topology and the Fundamental Theorem of Calculus / 2.1：
Differential Forms / 2.2：
Exterior Algebra and Antisymmetric Tensors / 2.2.1：
Differentiation and Integration of Forms / 2.2.2：
The Hodge Star Operator / 2.2.3：
Differential Forms and Linear Pairings / 2.2.4：
Discrete Domains / 2.3：
Discrete Forms and the Coboundary Operator / 2.3.2：
Primal and Dual Complexes / 2.3.3：
The Role of a Metric: the Metric Tensor, the Discrete Hodge Star Operator, and Weighted Complexes / 2.3.4：
The Dual Coboundary Operator / 2.3.5：
The Discrete Laplace-de Rham Operator / 2.3.6：
Structure of Discrete Physical Laws / 2.4：
Examples of Discrete Calculus / 2.5：
Fundamental Theorem of Calculus and the Generalized Stokes' Theorem / 2.5.1：
The Helmholtz Decomposition / 2.5.2：
Matrix Representation of Discrete Calculus Identities / 2.5.3：
Elliptic Equations / 2.5.4：
Diffusion / 2.5.5：
Advection / 2.5.6：
Concluding Remarks / 2.6：
Circuit Theory and Other Discrete Physical Models / 3：
Circuit Laws / 3.1：
Steady-State Solutions / 3.2：
Dependent Sources / 3.2.1：
Energy Minimization / 3.2.2：
AC Circuits / 3.3：
Connections Between Circuit Theory and Other Discrete Domains / 3.4：
Spring Networks / 3.4.1：
Random Walks / 3.4.2：
Gaussian Markov Random Fields / 3.4.3：
Tree Counting / 3.4.4：
Linear Algebra Applied to Circuit Analysis / 3.4.5：
Conclusion / 3.5：
Applications of Discrete Calculus / Part II：
Building a Weighted Complex from Data / 4：
Determining Edges and Cycles / 4.1：
Defining an Edge Set / 4.1.1：
Defining a Cycle Set / 4.1.2：
Deriving Edge Weights / 4.2：
Edge Weights to Reflect Geometry / 4.2.1：
Edge Weights to Penalize Data Outliers / 4.2.2：
Edge Weights to Cause Repulsion / 4.2.3：
Edge Weights to Represent Joint Statistics / 4.2.4：
Deducing Edge Weights from Observations / 4.2.5：
Obtaining Higher-Order Weights to Penalize Outliers / 4.3：
Weights Beyond Flows / 4.3.1：
Metrics Defined on a Complex / 4.4：
Filtering on Graphs / 4.5：
Fourier and Spectral Filtering on a Graph / 5.1：
Graphs that Are Not Shift-Invariant / 5.1.1：
The Origins of High Frequency Noise / 5.1.2：
Energy Minimization Methods for Filtering / 5.2：
The Basic Energy Minimization Model / 5.2.1：
Extended Basic Energy Model / 5.2.2：
The Total Variation Model / 5.2.3：
Filtering with Implicit Discontinuities / 5.3：
Filtering with Explicit, but Unknown, Discontinuities / 5.4：
Filtering by Gradient Manipulation / 5.5：
Nonlocal Filtering / 5.6：
Filtering Vectors and Flows / 5.7：
Translating Scalar Filtering to Flow Filtering / 5.7.1：
Filtering Higher-Order Cochains / 5.8：
Applications / 5.9：
Image Processing / 5.9.1：
Three-Dimensional Mesh Filtering / 5.9.2：
Filtering Data on a Surface / 5.9.3：
Geospatial Data / 5.9.4：
Filtering Flow Data-Brain Connectivity / 5.9.5：
Clustering and Segmentation / 5.10：
Targeted Clustering / 6.1：
Primal Targeted Clustering / 6.1.1：
Dual Targeted Clustering / 6.1.2：
Untargeted Clustering / 6.2：
Primal Untargeted Clustering / 6.2.1：
Dual Untargeted Clustering / 6.2.2：
Semi-targeted Clustering / 6.3：
The k-Means Model / 6.3.1：
Clustering Higher-Order Cells / 6.4：
Clustering Edges / 6.4.1：
Image Segmentation / 6.5：
Social Networks / 6.5.2：
Machine Learning and Classification / 6.5.3：
Gene Expression / 6.5.4：
Manifold Learning and Ranking / 6.6：
Manifold Learning / 7.1：
Multidimensional Scaling and Isomap / 7.1.1：
Laplacian Eigenmaps and Spectral Coordinates / 7.1.2：
Locality Preserving Projections / 7.1.3：
Relationship to Clustering / 7.1.4：
Manifold Learning on Edge Data / 7.1.5：
Ranking / 7.2：
PageRank / 7.2.1：
HITS / 7.2.2：
Shape Characterization / 7.3：
Point Correspondence / 7.3.2：
Web Search / 7.3.3：
Judicial Citation / 7.3.4：
Measuring Networks / 7.4：
Measures of Graph Connectedness / 8.1：
Graph Distance / 8.1.1：
Node Centrality / 8.1.2：
Distance-Based Properties of a Graph / 8.1.3：
Measures of Graph Separability / 8.2：
Clustering Measures / 8.2.1：
Small-World Graphs / 8.2.2：
Topological Measures / 8.3：
Geometric Measures / 8.4：
Discrete Gaussian Curvature / 8.4.1：
Discrete Mean Curvature / 8.4.2：
Chemical Graph Theory / 8.5：
Representation and Storage of a Graph and Complex / 8.6：
General Representations for Complexes / A.1：
Cells List Representation / A.1.1：
Operator Representation / A.1.2：
Representation of 1-Complexes / A.2：
Neighbor List Representation / A.2.1：
Optimization / Appendix B：
Real-Valued Optimization / B.1：
Unconstrained Direct Solutions / B.1.1：
Constrained Direct Solutions / B.1.2：
Descent Methods / B.1.3：
Nonconvex Energy Optimization over Real Variables / B.1.4：
Integer-Valued Optimization / B.2：
Linear Objective Functions / B.2.1：
Quadratic Objective Functions / B.2.2：
General Integer Programming Problems / B.2.3：
The Hodge Theorem: A Generalization of the Helmholtz Decomposition / Appendix C：
The Helmholtz Theorem / C.1：
The Hodge Decomposition / C.2：
Summary of Notation
References
Index
Color Plates
Discrete Calculus: History and Future / 1：
Discrete Calculus / 1.1：
Origins of Vector Calculus / 1.1.1：
63.
ＥＢ
Leo J. Grady, Jonathan R. Polimeni
出版情報:
SpringerLink Books - AutoHoldings , Springer London, 2010
子書誌情報:
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Discrete Calculus: History and Future / 1：
Discrete Calculus / 1.1：
Origins of Vector Calculus / 1.1.1：
Origins of Discrete Calculus / 1.1.2：
Discrete vs. Discretized / 1.1.3：
Complex Networks / 1.2：
Content Extraction / 1.3：
Organization of the Book / 1.4：
Intended Audience / 1.5：
A Brief Review of Discrete Calculus / Part I：
Introduction to Discrete Calculus / 2：
Topology and the Fundamental Theorem of Calculus / 2.1：
Differential Forms / 2.2：
Exterior Algebra and Antisymmetric Tensors / 2.2.1：
Differentiation and Integration of Forms / 2.2.2：
The Hodge Star Operator / 2.2.3：
Differential Forms and Linear Pairings / 2.2.4：
Discrete Domains / 2.3：
Discrete Forms and the Coboundary Operator / 2.3.2：
Primal and Dual Complexes / 2.3.3：
The Role of a Metric: the Metric Tensor, the Discrete Hodge Star Operator, and Weighted Complexes / 2.3.4：
The Dual Coboundary Operator / 2.3.5：
The Discrete Laplace-de Rham Operator / 2.3.6：
Structure of Discrete Physical Laws / 2.4：
Examples of Discrete Calculus / 2.5：
Fundamental Theorem of Calculus and the Generalized Stokes' Theorem / 2.5.1：
The Helmholtz Decomposition / 2.5.2：
Matrix Representation of Discrete Calculus Identities / 2.5.3：
Elliptic Equations / 2.5.4：
Diffusion / 2.5.5：
Advection / 2.5.6：
Concluding Remarks / 2.6：
Circuit Theory and Other Discrete Physical Models / 3：
Circuit Laws / 3.1：
Steady-State Solutions / 3.2：
Dependent Sources / 3.2.1：
Energy Minimization / 3.2.2：
AC Circuits / 3.3：
Connections Between Circuit Theory and Other Discrete Domains / 3.4：
Spring Networks / 3.4.1：
Random Walks / 3.4.2：
Gaussian Markov Random Fields / 3.4.3：
Tree Counting / 3.4.4：
Linear Algebra Applied to Circuit Analysis / 3.4.5：
Conclusion / 3.5：
Applications of Discrete Calculus / Part II：
Building a Weighted Complex from Data / 4：
Determining Edges and Cycles / 4.1：
Defining an Edge Set / 4.1.1：
Defining a Cycle Set / 4.1.2：
Deriving Edge Weights / 4.2：
Edge Weights to Reflect Geometry / 4.2.1：
Edge Weights to Penalize Data Outliers / 4.2.2：
Edge Weights to Cause Repulsion / 4.2.3：
Edge Weights to Represent Joint Statistics / 4.2.4：
Deducing Edge Weights from Observations / 4.2.5：
Obtaining Higher-Order Weights to Penalize Outliers / 4.3：
Weights Beyond Flows / 4.3.1：
Metrics Defined on a Complex / 4.4：
Filtering on Graphs / 4.5：
Fourier and Spectral Filtering on a Graph / 5.1：
Graphs that Are Not Shift-Invariant / 5.1.1：
The Origins of High Frequency Noise / 5.1.2：
Energy Minimization Methods for Filtering / 5.2：
The Basic Energy Minimization Model / 5.2.1：
Extended Basic Energy Model / 5.2.2：
The Total Variation Model / 5.2.3：
Filtering with Implicit Discontinuities / 5.3：
Filtering with Explicit, but Unknown, Discontinuities / 5.4：
Filtering by Gradient Manipulation / 5.5：
Nonlocal Filtering / 5.6：
Filtering Vectors and Flows / 5.7：
Translating Scalar Filtering to Flow Filtering / 5.7.1：
Filtering Higher-Order Cochains / 5.8：
Applications / 5.9：
Image Processing / 5.9.1：
Three-Dimensional Mesh Filtering / 5.9.2：
Filtering Data on a Surface / 5.9.3：
Geospatial Data / 5.9.4：
Filtering Flow Data-Brain Connectivity / 5.9.5：
Clustering and Segmentation / 5.10：
Targeted Clustering / 6.1：
Primal Targeted Clustering / 6.1.1：
Dual Targeted Clustering / 6.1.2：
Untargeted Clustering / 6.2：
Primal Untargeted Clustering / 6.2.1：
Dual Untargeted Clustering / 6.2.2：
Semi-targeted Clustering / 6.3：
The k-Means Model / 6.3.1：
Clustering Higher-Order Cells / 6.4：
Clustering Edges / 6.4.1：
Image Segmentation / 6.5：
Social Networks / 6.5.2：
Machine Learning and Classification / 6.5.3：
Gene Expression / 6.5.4：
Manifold Learning and Ranking / 6.6：
Manifold Learning / 7.1：
Multidimensional Scaling and Isomap / 7.1.1：
Laplacian Eigenmaps and Spectral Coordinates / 7.1.2：
Locality Preserving Projections / 7.1.3：
Relationship to Clustering / 7.1.4：
Manifold Learning on Edge Data / 7.1.5：
Ranking / 7.2：
PageRank / 7.2.1：
HITS / 7.2.2：
Shape Characterization / 7.3：
Point Correspondence / 7.3.2：
Web Search / 7.3.3：
Judicial Citation / 7.3.4：
Measuring Networks / 7.4：
Measures of Graph Connectedness / 8.1：
Graph Distance / 8.1.1：
Node Centrality / 8.1.2：
Distance-Based Properties of a Graph / 8.1.3：
Measures of Graph Separability / 8.2：
Clustering Measures / 8.2.1：
Small-World Graphs / 8.2.2：
Topological Measures / 8.3：
Geometric Measures / 8.4：
Discrete Gaussian Curvature / 8.4.1：
Discrete Mean Curvature / 8.4.2：
Chemical Graph Theory / 8.5：
Representation and Storage of a Graph and Complex / 8.6：
General Representations for Complexes / A.1：
Cells List Representation / A.1.1：
Operator Representation / A.1.2：
Representation of 1-Complexes / A.2：
Neighbor List Representation / A.2.1：
Optimization / Appendix B：
Real-Valued Optimization / B.1：
Unconstrained Direct Solutions / B.1.1：
Constrained Direct Solutions / B.1.2：
Descent Methods / B.1.3：
Nonconvex Energy Optimization over Real Variables / B.1.4：
Integer-Valued Optimization / B.2：
Linear Objective Functions / B.2.1：
Quadratic Objective Functions / B.2.2：
General Integer Programming Problems / B.2.3：
The Hodge Theorem: A Generalization of the Helmholtz Decomposition / Appendix C：
The Helmholtz Theorem / C.1：
The Hodge Decomposition / C.2：
Summary of Notation
References
Index
Color Plates
Discrete Calculus: History and Future / 1：
Discrete Calculus / 1.1：
Origins of Vector Calculus / 1.1.1：
64.
図書
Shiping Liu, Gang (Sheng) Chen
出版情報:
Hoboken, NJ : Wiley, 2019 xii, 254 p. ; 23 cm
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Preface
Introduction / 1：
Robot Joint Friction Modeling and Parameter Identification / 1.1：
Contact Perception in Virtual Environment / 1.2：
Organization of This Book / 1.3：
References
Fundamentals of Robot Dynamics and Control / 2：
Robot Kinematics / 2.1：
Matrix Description of Robot Kinematics / 2.1.1：
Homogeneous Transformation Matrices / 2.1.2：
Forward Kinematics / 2.1.3：
Inverse Kinematics / 2.1.4：
Velocity Kinematics / 2.1.5：
Robot Dynamics / 2.2：
Robot Control / 2.3：
Trajectory Control / 2.3.1：
Point-to-point Control / 2.3.2.1：
Trajectories for Paths Specified by Points / 2.3.2.2：
Interaction Control / 2.3.3：
Impedance Control / 2.3.3.1：
Hybrid Force-Position Control 38 References / 2.3.3.2：
Friction and Contact of Solid Interfaces / 3：
Contact Between Two Solid Surfaces / 3.1：
Description of Surfaces / 3.2.1：
Contact Mechanics of Two Solid Surfaces / 3.2.2：
Friction Between Two Solid Surfaces / 3.3：
Adhesion / 3.3.1：
Dry Friction / 3.3.2：
Friction Mechanisms / 3.3.2.1：
Friction Transitions and Wear / 3.3.2.2：
Static Friction, Hysteresis, Time, and Displacement Dependence / 3.3.2.3：
Effects of Environmental and Operational Condition on Friction / 3.3.2.4：
Liquid Mediated Friction / 3.3.3：
Stribeck Curve / 3.3.3.1：
Unsteady Liquid-Mediated Friction / 3.3.3.2：
Negative Slope of Friction-Velocity Curve / 3.3.3.3：
Friction Models / 3.3.4：
Friction Dynamics of Manipulators / 4：
Friction Models of Robot Manipulator Joints / 4.1：
Modeling Friction with Varied Effects / 4.2：
The Motion Equations of Dynamics of Robot Manipulators with Friction / 4.3：
The General Motion Equation of Robot Manipulators / 4.3.1：
The Motion Equation of Two-Link Robot Manipulators / 4.3.2：
Nonlinear Dynamics and Chaos of Manipulators / 4.4：
Parameters Identification / 4.5：
Identification of Dynamic Parameters / 4.5.1：
Identification of Parameters of Friction Models / 4.5.2：
Uncertainty Analysis / 4.5.3：
Friction Compensation and Control of Robot Manipulator Dynamics / 4.6：
Force Feedback and Haptic Rendering / 5：
Overview of Robot Force Feedback / 5.1：
Generating Methods of Feedback Force / 5.2：
Serial Mechanism / 5.2.1：
Kinematics / 5.2.1.1：
Dynamics / 5.2.1.2：
Parallel Mechanism / 5.2.2：
Kinematics Model / 5.2.2.1：
Dynamics Based on Virtual Work / 5.2.2.2：
Friction Compensation / 5.2.3：
Calculation of Virtual Force / 5.3：
Collision Detection / 5.3.1：
The Construction of the Bounding Box / 5.3.1.1：
Calculation of Distance between Bounding Boxes / 5.3.1.2：
Calculating the Model of Virtual Force / 5.3.2：
1-DoF Interaction / 5.3.2.1：
2-DoF Interaction / 5.3.2.2：
3-DoF Interaction / 5.3.2.3：
6-DoF Interaction / 5.3.2.4：
Haptic Display Based on Point Haptic Device / 5.4：
Human Tactile Perception / 5.4.1：
Haptic Texture Display Methods / 5.4.2：
Virtual Simulation of Robot Control / 6：
Overview of Robot Simulation / 6.1：
3D Graphic Environment / 6.2：
Virtual Reality-Based Robot Control / 6.3：
Overview of Virtual Reality / 6.3.1：
Overview of Teleoperation / 6.3.2：
Virtual Reality-Based Teleoperation / 6.3.3：
Augmented Reality-Based Tele operation / 6.4：
Overview of Augmented Reality / 6.4.1：
Augmented Reality-Based Teleoperation / 6.4.2：
Task Planning Methods in Virtual Environment / 6.5：
Overview / 6.5.1：
Interactive Graphic Mode / 6.5.2：
Index
Preface
Introduction / 1：
Robot Joint Friction Modeling and Parameter Identification / 1.1：
65.
ＥＢ
Yves Jannot, Alain Degiovanni
出版情報:
Wiley Online Library - AutoHoldings Books , John Wiley & Sons, Inc., 2018
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Preface
Nomenclature
Modeling of Heat Transfer / Chapter 1：
The different modes of heat transfer / 1.1：
Introduction and definitions / 1.1.1：
Conduction / 1.1.2：
Convection / 1.1.3：
Radiation / 1.1.4：
Heat storage / 1.1.5：
Modeling heat transfer by conduction / 1.2：
The heat equation / 1.2.1：
Steady-state conduction / 1.2.2：
Conduction in unsteady state / 1.2.3：
The quadrupole method / 1.2.4：
The thermal properties of a material / 1.3：
Thermal conductivity / 1.3.1：
Thermal diffusivity / 1.3.2：
Volumetric heat capacity / 1.3.3：
Thermal effusivity / 1.3.4：
Conclusion / 1.3.5：
Tools and Methods for Thermal Characterization / Chapter 2：
Measurement of temperature / 2.1：
Liquid column thermometer / 2.1.1：
Thermocouple / 2.1.2：
Thermistor / 2.1.3：
Platinum resistance / 2.1.4：
IR detector / 2.1.5：
IR camera / 2.1.6：
Choice of a measurement method / 2.1.7：
Data filtering / 2.1.8：
Tools for parameter estimation / 2.2：
Introduction / 2.2.1：
Quadrupole modeling / 2.2.2：
Dimensional analysis / 2.2.3：
Study of reduced sensitivity / 2.2.4：
Method for estimating parameters / 2.2.5：
Evaluation of the estimation error due La the measurement noise / 2.2.6：
Other sources of error / 2.2.7：
Validity domain of a model and estimation time interval / 2.2.8：
Choice of the temperature's origin / 2.2.9：
Steady-state Methods / 2.2.10：
Guarded hot plate / 3.1：
Principle / 3.2.1：
Hypotheses and model / 3.2.2：
Experimental design / 3.2.3：
Practice of the measurement / 3.2.4：
Center hot plate / 3.3：
Experimental set-up / 3.3.1：
Hot strip / 3.3.4：
Hot rube / 3.4.1：
Cut bar / 3.5.1：
Flux/Temperature Transient Methods / 3.6.1：
Infinite hot plate / 4.1：
Asymmetric setup / 4.2.1：
Asymmetric hot plate / 4.3：
Measuring temperature / 4.3.1：
Measurement of two temperatures / 4.3.2：
Hot wire / 4.4：
Experimental setup / 4.4.1：
Flash ID / 4.4.4：
Hypotheses and models / 4.5.1：
Methods for the estimation of diffusivity / 4.5.3：
Experimental setups / 4.5.4：
Flash 3D / 4.6：
Principle and history / 4.6.1：
Identification method / 4.6.2：
Example of an experimental setup / 4.6.4：
Hot disc / 4.6.5：
Experimental study / 4.7.1：
3ω Method / 4.8：
Calorimetry / 4.9.1：
Differentia! calorimeter / 4.10.1：
Drop calorimeter / 4.10.2：
Transient Temperature/Temperature Methods / Chapter 5：
Planar three-layer / 5.1：
Practice of the method / 5.2.1：
Cylindrical three-layer / 5.3：
Experimental practice / 5.3.1：
Transient fin method / 5.4：
Choice of an Adapted Method / 5.4.1：
Measurement advice / 6.1：
How many measurements? / 6.1.1：
Steady-state or transient mode? / 6.1.2：
What if the material is wet? / 6.1.3：
What if the material is semi-transparent? / 6.1.4：
Choice of method / 6.2：
Consolidated solid / 6.2.1：
Liquids / 6.2.2：
Powders / 6.2.3：
Thin films / 6.2.4：
Analogies Between Different Transfers / Chapter 7：
Diffusion of heat by conduction / 7.1：
Diffusion of water vapor / 7.2：
Flow of a gas in a porous medium / 7.3：
Analogy between the different transfers / 7.4：
Example of adaptation of a thermal method to another domain / 7.5：
Appendices
Physical Properties of Some Materials / Appendix 1：
Physical Properties of Air and Water / Appendix 2：
Transfer Coefficients in Natural Convection / Appendix 3：
Main Integral Transformations: Laplace, Fourier and Hankel / Appendix 4：
Inverse Laplace Transformation / Appendix 5：
Value of the Function ERF / Appendix 6：
Quadrupole Matrices for Different Configurations / Appendix 7：
Bessel Equations and Functions / Appendix 8：
Influence of Radiation on Temperature Measurement / Appendix 9：
Case Study / Appendix 10：
Bibliography
Index
Preface
Nomenclature
Modeling of Heat Transfer / Chapter 1：
66.
図書
Jeremy W. Dale and Simon F. Park
出版情報:
Chichester, West Sussex : Wiley-Blackwell, 2010 xii, 388 p. ; 25 cm
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Preface
Nucleic Acid Structure and Function / 1：
Structure of nucleic acids / 1.1：
DNA / 1.1.1：
RNA / 1.1.2：
Hydrophobic interactions / 1.1.3：
Different forms of the double helix / 1.1.4：
Supercoiling / 1.1.5：
Denaturation and hybridization / 1.1.6：
Orientation of nucleic acid strands / 1.1.7：
Replication of DNA / 1.2：
Unwinding and rewinding / 1.2.1：
Fidelity of replication; proofreading / 1.2.2：
Chromosome replication and cell division / 1.3：
DNA repair / 1.4：
Mismatch repair / 1.4.1：
Excision repair / 1.4.2：
Recombination (post-replication) repair / 1.4.3：
SOS repair / 1.4.4：
Gene expression / 1.5：
Transcription / 1.5.1：
Translation / 1.5.2：
Post-translational events / 1.5.3：
Gene organization / 1.6：
Mutation and Variation / 2：
Variation and evolution / 2.1：
Fluctuation test / 2.1.1：
Replica plating / 2.1.2：
Directed mutation in bacteria? / 2.1.3：
Types of mutation / 2.2：
Point mutations / 2.2.1：
Conditional mutants / 2.2.2：
Variation due to larger-scale DNA alterations / 2.2.3：
Extrachromosomal agents and horizontal gene transfer / 2.2.4：
Recombination / 2.3：
A model of the general (homologous) recombination process / 2.3.1：
Enzymes involved in recombination / 2.3.2：
Phenotypes / 2.4：
Restoration of phenotype / 2.4.1：
Mechanisms of mutation / 2.5：
Spontaneous mutation / 2.5.1：
Chemical mutagens / 2.5.2：
Ultraviolet irradiation / 2.5.3：
Isolation and identification of mutants / 2.6：
Mutation and selection / 2.6.1：
Isolation of other mutants / 2.6.2：
Molecular methods / 2.6.4：
Regulation of Gene Expression / 3：
Gene copy number / 3.1：
Transcriptional control / 3.2：
Promoters / 3.2.1：
Terminators, attenuators and anti-terminators / 3.2.2：
Induction and repression: regulatory proteins / 3.2.3：
Two-component regulatory systems / 3.2.4：
Global regulatory systems / 3.2.5：
Quorum sensing / 3.2.6：
Translational control / 3.3：
Ribosome binding / 3.3.1：
Codon usage / 3.3.2：
Stringent response / 3.3.3：
Regulatory RNA / 3.3.4：
Phase variation / 3.4：
Genetics of Bacteriophages / 4：
Bacteriophage structure / 4.1：
Single-strand DNA bacteriophages / 4.2：
ΦX174 / 4.2.1：
M13 / 4.2.2：
RNA-containing phages: MS2 / 4.3：
Double-stranded DNA phages / 4.4：
Bacteriophage T4 / 4.4.1：
Bacteriophage λ / 4.4.2：
Lytic and lysogenic regulation of bacteriophage λ / 4.4.3：
Restriction and modification / 4.5：
Bacterial resistance to phage attack / 4.6：
Complementation and recombination / 4.7：
Why are bacteriophages important? / 4.8：
Phage typing / 4.8.1：
Phage therapy / 4.8.2：
Phage display / 4.8.3：
Phages in the natural environment / 4.8.4：
Bacterial virulence and phage conversion / 4.8.5：
Plasmids / 5：
Some bacterial characteristics are determined by plasmids / 5.1：
Antibiotic resistance / 5.1.1：
Colicins and bacteriocins / 5.1.2：
Virulence determinants / 5.1.3：
Plasmids in plant-associated bacteria / 5.1.4：
Metabolic activities / 5.1.5：
Molecular properties of plasmids / 5.2：
Plasmid replication and control / 5.2.1：
Partitioning / 5.2.2：
Host range / 5.2.3：
Plasmid incompatibility / 5.2.4：
Plasmid stability / 5.3：
Plasmid integrity / 5.3.1：
Differential growth rate / 5.3.2：
Associating a plasmid with a phenotype / 5.4：
Gene Transfer / 6：
Transformation / 6.1：
Conjugation / 6.2：
Mechanism of conjugation / 6.2.1：
The F plasmid / 6.2.2：
Conjugation in other bacteria / 6.2.3：
Transduction / 6.3：
Specialized transduction / 6.3.1：
Consequences of recombination / 6.4：
Site-specific and non-homologous (illegitimate) recombination / 6.4.2：
Mosaic genes and chromosome plasticity / 6.5：
Genomic Plasticity: Movable Genes and Phase Variation / 7：
Insertion sequences / 7.1：
Structure of insertion sequences / 7.1.1：
Occurrence of insertion sequences / 7.1.2：
Transposons / 7.2：
Structure of transposons / 7.2.1：
Integrons / 7.2.2：
ISCR elements / 7.2.3：
Mechanisms of transposition / 7.3：
Replicative transposition / 7.3.1：
Non-replicative (conservative) transposition / 7.3.2：
Regulation of transposition / 7.3.3：
Activation of genes by transposable elements / 7.3.4：
Mu: A transposable bacteriophage / 7.3.5：
Conjugative transposons / 7.3.6：
Variation mediated by simple DNA inversion / 7.4：
Variation mediated by nested DNA inversion / 7.4.2：
Antigenic variation in the gonococcus / 7.4.3：
Phase variation by slipped-strand mispairing / 7.4.4：
Phase variation mediated by differential DNA methylation / 7.4.5：
Clustered regularly interspersed short palindromic repeats / 7.5：
Genetic Modification: Exploiting the Potential of Bacteria / 8：
Strain development / 8.1：
Generation of variation / 8.1.1：
Selection of desired variants / 8.1.2：
Overproduction of primary metabolites / 8.2：
Simple pathways / 8.2.1：
Branched pathways / 8.2.2：
Overproduction of secondary metabolites / 8.3：
Gene cloning / 8.4：
Cutting and joining DNA / 8.4.1：
Plasmid vectors / 8.4.2：
Bacteriophage λ vectors / 8.4.3：
Cloning larger fragments / 8.4.4：
Bacteriophage M13 vectors / 8.4.5：
Gene libraries / 8.5：
Construction of genomic libraries / 8.5.1：
Screening a gene library / 8.5.2：
Cloning PCR products / 8.5.3：
Construction of a cDNA library / 8.5.4：
Products from cloned genes / 8.6：
Expression vectors / 8.6.1：
Making new genes / 8.6.2：
Other bacterial hosts / 8.6.3：
Novel vaccines / 8.6.4：
Other uses of gene technology / 8.7：
Genetic Methods for Investigating Bacteria / 9：
Metabolic pathways / 9.1：
Complementation / 9.1.1：
Cross-feeding / 9.1.2：
Microbial physiology / 9.2：
Reporter genes / 9.2.1：
Chromatin immunoprecipitation / 9.2.2：
Cell division / 9.2.3：
Motility and chemotaxis / 9.2.4：
Cell differentiation / 9.2.5：
Bacterial virulence / 9.3：
Wide-range mechanisms of bacterial pathogenesis / 9.3.1：
Detection of virulence genes / 9.3.2：
Specific mutagenesis / 9.4：
Gene replacement / 9.4.1：
Antisense RNA / 9.4.2：
Taxonomy, evolution and epidemiology / 9.5：
Molecular taxonomy / 9.5.1：
GC content / 9.5.2：
16 S rRNA / 9.5.3：
Denaturing-gradient gel electrophoresis and temperature-gradient gel electrophoresis / 9.5.4：
Diagnostic use of PCR / 9.5.5：
Molecular epidemiology / 9.5.6：
Gene Mapping to Genomics and Beyond / 10：
Gene mapping / 10.1：
Conjugational analysis / 10.1.1：
Restriction mapping and pulsed-field gel electrophoresis / 10.1.2：
DNA sequence determination / 10.2：
Sanger sequencing / 10.2.1：
Dye terminator sequencing / 10.2.2：
Pyrosequencing / 10.2.3：
Massively parallel sequencing / 10.2.4：
Genome sequencing / 10.3：
Genome-sequencing strategies / 10.3.1：
Relating sequence to function / 10.3.2：
Metagenomics / 10.3.3：
Comparative genomics / 10.4：
Microarrays / 10.4.1：
Analysis of gene expression / 10.5：
Transcriptional analysis / 10.5.1：
Translational analysis / 10.5.2：
Metabolomics / 10.6：
Systems biology and synthetic genomics / 10.7：
Systems biology / 10.7.1：
Synthetic genomics / 10.7.2：
Conclusion / 10.8：
Further Reading / Appendix A：
Abbreviations Used / Appendix B：
Glossary / Appendix C：
Enzymes and other Proteins / Appendix D：
Genes / Appendix E：
Standard Genetic Code / Appendix F：
Bacterial Species / Appendix G：
Index
?X174
Bacteriophage ?
Lytic and lysogenic regulation of bacteriophage ?
Bacteriophage ? vectors
Preface
Nucleic Acid Structure and Function / 1：
Structure of nucleic acids / 1.1：
67.
図書
Rance D. Necaise
出版情報:
Hoboken, N.J. : Wiley, c2011 xviii, 520 p. ; 26 cm
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Abstract Data Types / Chapter 1：
Introduction / 1.1：
Abstractions / 1.1.1：
Data Structures / 1.1.2：
The Date ADT / 1.2：
Preconditions and Postconditions / 1.2.1：
Using the ADT / 1.2.2：
Implementing the ADT / 1.2.3：
The Bag ADT / 1.3：
Selecting a Data Structure / 1.3.1：
The Class Definition / 1.3.3：
Iterators / 1.4：
The Set ADT / 1.5：
The Map ADT / 1.5.1：
Defining the ADT / 1.6.1：
Implementing the Map ADT / 1.6.2：
Alternate Implementation / 1.6.3：
Application: Histograms / 1.7：
Building a Histogram / 1.7.1：
Implementing the Histogram ADT / 1.7.2：
Programming Problems
Arrays and Vectors / Chapter 2：
The Array Structure / 2.1：
Simulating an Array / 2.1.1：
The Array ADT / 2.1.2：
The Python List (Vector) / 2.1.3：
Multi-Dimensional Arrays / 2.3：
The MultiArray ADT / 2.3.1：
Data Organization / 2.3.2：
Variable Length Arguments / 2.3.3：
MultiArray Implementation / 2.3.4：
The Matrix ADT / 2.4：
Matrix Operations / 2.4.1：
Application: The Game of Life / 2.4.2：
Rules of the Game / 2.5.1：
Designing a Solution / 2.5.2：
ADT Implementation / 2.5.3：
Exercises
Algorithm Analysis / Chapter 3：
Complexity Analysis / 3.1：
Big-O Notation / 3.1.1：
Classes of Algorithms / 3.1.2：
Empirical Analysis / 3.1.3：
Evaluating ADT Implementations / 3.2：
Evaluating the Python List / 3.2.1：
Evaluating the Set ADT / 3.2.2：
Searching / 3.3：
Linear Search / 3.3.1：
Binary Search / 3.3.2：
Working with Ordered Lists / 3.4：
Building An Ordered List / 3.4.1：
Merging Ordered Lists / 3.4.2：
The Set ADT Revisited / 3.5：
Application: The Sparse Matrix / 3.6：
Implementation / 3.6.1：
Analysis / 3.6.2：
The Linked List / Chapter 4：
A Linked Structure / 4.1：
The Singly-Linked List / 4.2：
Basic Operations / 4.2.1：
Evaluating the Linked List / 4.2.2：
The Bag ADT Revisited / 4.3：
Implementation Details / 4.3.1：
Linked List Iterator / 4.3.2：
Using a Tail Pointer / 4.4：
The Ordered Linked List / 4.5：
The Sparse Matrix Revisited / 4.6：
The New Implementation / 4.6.1：
Comparing Implementations / 4.6.2：
Application: Polynomials / 4.7：
Polynomial Operations / 4.7.1：
The Polynomial ADT / 4.7.2：
Advanced Linked Lists / 4.7.3：
Doubly-Linked List / 5.1：
Organization / 5.1.1：
List Operations / 5.1.2：
Circular Linked List / 5.2：
Multi-Linked Lists / 5.2.1：
Multiple Chains / 5.3.1：
The Sparse Matrix / 5.3.2：
Complex Iterators / 5.4：
Application: Text Editor / 5.5：
Typical Editor Operations / 5.5.1：
The Edit Buffer ADT / 5.5.2：
Stacks / 5.5.3：
The Stack ADT / 6.1：
Implementing the Stack / 6.2：
Vector Based / 6.2.1：
Linked List Version / 6.2.2：
Stack Applications / 6.3：
Balanced Delimiters / 6.3.1：
Evaluating Postfix Expressions / 6.3.2：
Application: Solving a Maze / 6.4：
Backtracking / 6.4.1：
The Maze ADT / 6.4.2：
Queues / 6.4.4：
The Queue ADT / 7.1：
Implementing the Queue / 7.2：
Circular Array / 7.2.1：
The Priority Queue / 7.2.3：
Application: Computer Simulations / 7.4：
Airline Ticket Counter / 7.4.1：
Class Specifications / 7.4.2：
Hash Tables / Chapter 8：
Hash Functions / 8.1：
Open Addressing / 8.3：
Linear Probing / 8.3.1：
Collision Resolution / 8.3.2：
Bucket Hashing / 8.4：
Hashing Efficiency / 8.5：
The Map ADT Revisited / 8.6：
Application: The Color Histogram / 8.7：
Recursion / Chapter 9：
Recursive Functions / 9.1：
Properties of Recursion / 9.2：
Classic Example: The Factorial Function / 9.2.1：
Greatest Common Divisor / 9.2.2：
Recursion and Stacks / 9.3：
The Towers of Hanoi / 9.4：
Backtracking Revisited / 9.5：
The Eight-Queens Problem / 9.5.1：
Solving the Four-Queens / 9.5.2：
Recursive Solution / 9.5.3：
Application: Sudoku Puzzles / 9.6：
Binary Trees and Heaps / Chapter 10：
Tree Structure / 10.1：
The Binary Tree / 10.2：
Traversals / 10.2.1：
Arithmetic Expresssions / 10.2.2：
Tree Threading / 10.3：
Heaps / 10.4：
Insertions / 10.4.1：
Removals / 10.4.2：
Evaluating the Heap / 10.4.3：
The Priority Queue Revisited / 10.4.4：
Application: Morse Code / 10.5：
Advanced Search Trees / Chapter 11：
The Binary Search Tree / 11.1：
Deletions / 11.1.1：
Evaluating the BST / 11.1.4：
AVL Trees / 11.2：
Evaluating the AVL Tree / 11.2.1：
2-3 Trees / 11.3：
Splay Trees / 11.4：
Application: Improved Map ADT / 11.5：
Sorting Algorithms / Chapter 12：
The Simple Algorithms / 12.1：
Bubble Sort / 12.1.1：
Selection Sort / 12.1.2：
Insertion Sort / 12.1.3：
Radix Sort / 12.2：
Basic Algorithm / 12.2.1：
Bucket Sorting / 12.2.2：
Divide and Conquer / 12.3：
Merge Sort / 12.3.1：
Quick Sort / 12.3.2：
Heap Sort / 12.4：
Application: Empirical Analysis / 12.5：
Python Review / Appendix A：
Basic Concepts / A.1：
Functions / A.2：
Sequence Types / A.3：
Classes / A.4：
Copying Objects / A.5：
Exceptions / A.6：
Object-Oriented Programming / Appendix B：
Encapsulation / B.1：
Inheritance / B.3：
Polymorphism / B.4：
Abstract Data Types / Chapter 1：
Introduction / 1.1：
Abstractions / 1.1.1：
68.
ＥＢ
Mariana Haragus, Gérard Iooss, Gérard Iooss
出版情報:
SpringerLink Books - AutoHoldings , Springer London, 2011
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Elementary Bifurcations / 1：
Bifurcations in Dimension 1 / 1.1：
Saddle-Node Bifurcation / 1.1.1：
Pitchfork Bifurcation / 1.1.2：
Bifurcations in Dimension 2 / 1.2：
Hopf Bifurcation / 1.2.1：
Example: Homogeneous Brusselator / 1.2.2：
Hopf Bifurcation with SO(2) Symmetry / 1.2.3：
Steady Bifurcation with O(2) Symmetry / 1.2.4：
Center Manifolds / 2：
Notations / 2.1：
Local Center Manifolds / 2.2：
Hypotheses / 2.2.1：
Main Result / 2.2.2：
Checking Hypothesis 2.7 / 2.2.3：
Examples / 2.2.4：
Particular Cases and Extensions / 2.3：
Parameter-Dependent Center Manifolds / 2.3.1：
Nonautonomous Center Manifolds / 2.3.2：
Symmetries and Reversibility / 2.3.3：
Empty Unstable Spectrum / 2.3.4：
Further Examples and Exercises / 2.4：
A Fourth Order ODE / 2.4.1：
Burgers Model / 2.4.2：
Swift-Hohenberg Equation / 2.4.3：
Brusselator Model / 2.4.4：
Elliptic PDE in a Strip / 2.4.5：
Normal Forms / 3：
Main Theorem / 3.1：
Proof of Theorem 1.2 / 3.1.1：
Parameter-Dependent Normal Forms / 3.1.2：
Linear Normal Forms / 3.2.1：
Derivation of the Parameter-Dependent Normal Form / 3.2.3：
Equivariant Vector Fields / 3.2.4：
Reversible Vector Fields / 3.3.2：
Example: van der Pol System / 3.3.3：
Normal Forms for Reduced Systems on Center Manifolds / 3.4：
Computation of Center Manifolds and Normal Forms / 3.4.1：
Example 1: Hopf Bifurcation / 3.4.2：
Example 2: Hopf Bifurcations with Symmetries / 3.4.3：
Example 3: Takens-Bogdanov Bifurcation / 3.4.4：
Further Normal Forms / 3.4.5：
Time-Periodic Normal Forms / 3.5.1：
Example: Periodically Forced Hopf Bifurcation / 3.5.2：
Normal Forms for Analytic Vector Fields / 3.5.3：
Reversible Bifurcations / 4：
Dimension 2 / 4.1：
Dimension 3 / 4.1.1：
Reversible 0(i?) Bifurcation (Elements) / 4.2.1：
Dimension 4 / 4.3：
Applications / 4.3.1：
Hydrodynamic Instabilities / 5.1：
Hydrodynamic Problem / 5.1.1：
Couette-Taylor Problem / 5.1.2：
Bénard-Rayleigh Convection Problem / 5.1.3：
Existence of Traveling Waves / 5.2：
Gravity-Capillary Water-Waves / 5.2.1：
Almost-Planar Waves in Reaction-Diffusion Systems / 5.2.2：
Waves in Lattices / 5.2.3：
Appendix
Elements of Functional Analysis / A：
Bounded and Closed Operators / A.1：
Resolvent and Spectrum / A.2：
Compact Operators and Operators with Compact Resolvent / A.3：
Adjoint Operator / A.4：
Fredholm Operators / A.5：
Basic Sobolev Spaces / A.6：
Proof of Theorem 2.9 (Center Manifolds) / B：
Proof of Theorem 2.17 (Semilinear Case) / B.2：
Proof of Theorem 3.9 (Nonautonomous Vector Fields) / B.3：
Proof of Theorem 3.13 (Equivariant Systems) / B.4：
Proof of Theorem 3.22 (Empty Unstable Spectrum) / B.5：
Proof of Theorem 2.2 (Perturbed Normal Forms) / C：
References / D：
Index
Elementary Bifurcations / 1：
Bifurcations in Dimension 1 / 1.1：
Saddle-Node Bifurcation / 1.1.1：
69.
ＥＢ
María Teresa Penella-López, Manuel Gasulla-Forner, Maria Teresa Penella, María Teresa Penella-López
出版情報:
SpringerLink Books - AutoHoldings , Springer Netherlands, 2011
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Introduction / 1：
Autonomous Sensors / 1.1：
Power Sources for Autonomous Sensors / 1.2：
Challenges / 1.3：
References
Load and Power Conditioning / 2：
Load / 2.1：
Sensors and Signal Conditioning / 2.1.1：
Microcontrollers / 2.1.2：
Transceiver / 2.1.3：
LoadModel / 2.1.4：
Power Conditioning / 2.2：
Linear Regulators / 2.2.1：
Switching Regulators / 2.2.2：
Charge Pumps / 2.2.3：
Control Strategy / 2.2.4：
Conclusions / 2.3：
Ambient Energy Sources / 3：
Radiant Energy / 3.1：
Optical Energy / 3.1.1：
Radiofrequency Energy / 3.1.2：
Mechanical Energy / 3.2：
Thermal Energy / 3.3：
Magnetic Energy / 3.4：
Biochemical Energy / 3.5：
Primary Batteries and Storage Elements / 3.6：
Batteries / 4.1：
General Characteristics / 4.1.1：
Batteries and Autonomous Sensors / 4.1.2：
Primary Batteries / 4.1.3：
Secondary Batteries / 4.1.4：
Battery Characterization / 4.2：
Proposed Approach / 4.2.1：
Materials and Methods / 4.2.2：
Experimental Results / 4.2.3：
Model Validation / 4.2.4：
Supercapacitors / 4.3：
Supercapacitor Characterization / 4.4：
Hybrid Systems / 4.4.1：
Problem Statement / 4.5.1：
Theoretical Analysis / 4.5.2：
Optical Energy Harvesting / 4.5.3：
Solar Cells / 5.1：
Pv Array Simulator / 5.2：
Direct-Coupled Circuits / 5.3：
Analysis / 5.3.1：
Mppt Circuits and Methods / 5.3.2：
Dc/dc Converters Based on Pfm Techniques / 5.4.1：
Locv Method / 5.4.2：
Efficiency / 5.5.1：
Experimental Characterization / 5.5.2：
Implementation and Time Response / 5.5.3：
Assigning Parameter Values / 5.5.4：
A Novel Closed-Loop Mppt Technique / 5.6：
Theoretical Approach / 5.6.1：
Implementation / 5.6.2：
Assigning the Parameter Values / 5.6.3：
Radiofrequency Energy Harvesting / 5.6.5：
Background / 6.1：
Antenna / 6.1.1：
Impedance Matching / 6.1.2：
Filters / 6.1.3：
Rectifier / 6.1.4：
Post-rectification Energy Conditioning / 6.1.5：
Radiofrequency Energy Harvesting for Autonomous Sensors / 6.1.6：
Simulations / 6.2：
Measurement Setup / 6.3：
Results / 6.3.2：
Introduction / 1：
Autonomous Sensors / 1.1：
Power Sources for Autonomous Sensors / 1.2：
70.
ＥＢ
David Kleidermacher, Mike Kleidermacher
出版情報:
Elsevier ScienceDirect Books , Burlington : Newnes, 2012
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Foreword
Preface
Acknowledgements
Introduction to Embedded Systems Security / Chapter 1：
What is Security? / 1.1：
What is an Embedded System? / 1.2：
Embedded Security Trends / 1.3：
Embedded Systems Complexity / 1.3.1：
Network Connectivity / 1.3.2：
Reliance on Embedded Systems for Critical Infrastructure / 1.3.3：
Sophisticated Attackers / 1.3.4：
Processor Consolidation / 1.3.5：
Security Policies / 1.4：
Perfect Security / 1.4.1：
Confidentiality, Integrity, and Availability / 1.4.2：
Isolation / 1.4.3：
Information Flow Control / 1.4.4：
Physical Security Policies / 1.4.5：
Apphcation-Specific Policies / 1.4.6：
Security Threats / 1.5：
Case Study: VxWorks Debug Port Vulnerability / 1.5.1：
Wrap-up / 1.6：
Key Points / 1.7：
Bibliography and Notes / 1.8：
Systems Software Considerations / Chapter 2：
The Role of the Operating System / 2.1：
Multiple Independent Levels of Security / 2.2：
Information Flow / 2.2.1：
Data Isolation / 2.2.2：
Damage Limitation / 2.2.3：
Periods Processing / 2.2.4：
Always Invoked / 2.2.5：
Tamper Proof / 2.2.6：
Evaluable / 2.2.7：
Microkernel versus Monolith / 2.3：
Case Study: The Duqu Virus / 2.3.1：
Core Embedded Operating System Security Requirements / 2.4：
Memory Protection / 2.4.1：
Virtual Memory / 2.4.2：
Fault Recovery / 2.4.3：
Guaranteed Resources / 2.4.4：
Virtual Device Drivers / 2.4.5：
Impact of Determinism / 2.4.6：
Secure Scheduling / 2.4.7：
Access Control and Capabilities / 2.5：
Case Study: Secure Web Browser / 2.5.1：
Granularity versus Simplicity of Access Controls / 2.5.2：
Whitelists versus Blacklists / 2.5.3：
Confused Deputy Problem / 2.5.4：
Capabilities versus Access Control Lists / 2.5.5：
Capability Confinement and Revocation / 2.5.6：
Secure Design Using Capabilities / 2.5.7：
Hypervisors and System Virtualization / 2.6：
Introduction to System Virtualization / 2.6.1：
Applications of System Virtualization / 2.6.2：
Environment Sandboxing / 2.6.3：
Virtual Security Appliances / 2.6.4：
Hypervisor Architectures / 2.6.5：
Paravirtualization / 2.6.6：
Leveraging Hardware Assists for Virtualization / 2.6.7：
Hypervisor Security / 2.6.8：
I/O Virtualization / 2.7：
The Need for Shared I/O / 2.7.1：
Emulation / 2.7.2：
Pass-through / 2.7.3：
Shared IOMMU / 2.7.4：
IOMMUs and Virtual Device Drivers / 2.7.5：
Secure I/O Virtualization within Microkernels / 2.7.6：
Remote Management / 2.8：
Security Implications / 2.8.1：
Assuring Integrity of the TCB / 2.9：
Trusted Hardware and Supply Chain / 2.9.1：
Secure Boot / 2.9.2：
Static versus Dynamic Root of Trust / 2.9.3：
Remote Attestation / 2.9.4：
Secure Embedded Software Development / 2.10：
Introduction to PHASE-Principles of High-Assurance Software Engineering / 3.1：
Minimal Implementation / 3.2：
Component Architecture / 3.3：
Runtime Componentization / 3.3.1：
A Note on Processes versus Threads / 3.3.2：
Least Privilege / 3.4：
Secure Development Process / 3.5：
Change Management / 3.5.1：
Peer Reviews / 3.5.2：
Development Tool Security / 3.5.3：
Secure Coding / 3.5.4：
Software Testing and Verification / 3.5.5：
Development Process Efficiency / 3.5.6：
Independent Expert Validation / 3.6：
Common Criteria / 3.6.1：
Case Study: Operating System Protection Profiles / 3.6.2：
Case Study: HAWS-High-Assurance Web Server / 3.7：
Model-Driven Design / 3.7.1：
Introduction to MDD / 3.8.1：
Executable Models / 3.8.2：
Modeling Languages / 3.8.3：
Types of MDD Platforms / 3.8.4：
Case Study: A Digital Pathology Scanner / 3.8.5：
Selecting an MDD Platform / 3.8.6：
Using MDD in Safety-and Security-Critical Systems / 3.8.7：
Embedded Cryptography / 3.9：
Introduction / 4.1：
U.S. Government Cryptographic Guidance / 4.2：
NSA Suite B / 4.2.1：
The One-Time Pad / 4.3：
Cryptographic Synchronization / 4.3.1：
Cryptographic Modes / 4.4：
Output Feedback / 4.4.1：
Cipher Feedback / 4.4.2：
OFB with CFB Protection / 4.4.3：
Traffic Flow Security / 4.4.4：
Counter Mode / 4.4.5：
Block Ciphers / 4.5：
Additional Cryptographic Block Cipher Modes / 4.5.1：
Authenticated Encryption / 4.6：
CCM / 4.6.1：
Galois Counter Mode / 4.6.2：
Public Key Cryptography / 4.7：
RSA / 4.7.1：
Equivalent Key Strength / 4.7.2：
Trapdoor Construction / 4.7.3：
Key Agreement / 4.8：
Man-in-the-Middle Attack on Diffie-Hellman / 4.8.1：
Public Key Authentication / 4.9：
Certificate Types / 4.9.1：
Elliptic Curve Cryptography / 4.10：
Elliptic Curve Digital Signatures / 4.10.1：
Elliptic Curve Anonymous Key Agreement / 4.10.2：
Cryptographic Hashes / 4.11：
Secure Hash Algorithm / 4.11.1：
MMO / 4.11.2：
Message Authentication Codes / 4.12：
Random Number Generation / 4.13：
True Random Number Generation / 4.13.1：
Pseudo-Random Number Generation / 4.13.2：
Key Management for Embedded Systems / 4.14：
Case Study: The Walker Spy Case / 4.14.1：
Key Management-Generalized Model / 4.14.2：
Key Management Case Studies / 4.14.3：
Cryptographic Certifications / 4.15：
FIPS 140-2 Certification / 4.15.1：
NSA Certification / 4.15.2：
Data Protection Protocols for Embedded Systems / 4.16：
Data-in-Motion Protocols / 5.1：
Generalized Model / 5.2.1：
Choosing the Network Layer for Security / 5.2.2：
Ethernet Security Protocols / 5.2.3：
BPsec versus SSL / 5.2.4：
IPsec / 5.2.5：
SSL/TLS / 5.2.6：
Embedded VPN Clients / 5.2.7：
DTLS / 5.2.8：
SSH / 5.2.9：
Custom Network Security Protocols / 5.2.10：
Application of Cryptography within Network Security Protocols / 5 2.11：
Secure Multimedia Protocols / 5.2.12：
Broadcast Security / 5.2.13：
Data-at-Rest Protocols / 5.3：
Choosing the Storage Layer for Security / 5.3.1：
Symmetric Encryption Algorithm Selection / 5.3.2：
Managing the Storage Encryption Key / 5 3 3：
Advanced Threats to Data Encryption Solutions / 5.3.4：
Emerging Applications / 5.4：
Embedded Network Transactions / 6.1：
Anatomy of a Network Transaction / 6.1.1：
State of Insecurity / 6.1.2：
Network-based Transaction Threats / 6 1 3：
Modern Attempts to Improve Network Transaction Security / 6.1.4：
Trustworthy Embedded Transaction Architecture / 6.1.5：
Automotive Security / 6.2：
Vehicular Security Threats and Mitigations / 6.2.1：
Secure Android / 6.3：
Android Security Retrospective / 6.3.1：
Android Device Rooting / 6.3.2：
Mobile Phone Data Protection: A Case Study of Defense-in-Depth / 6.3.3：
Android Sandboxing Approaches / 6.3.4：
Next-Generation Software-Defined Radio / 6.4：
Red-Black Separation / 6.4.1：
Software-Defined Radio Architecture / 6.4.2：
Enter Linux / 6.4.3：
Multi-Domain Radio / 6.4.4：
Index / 6.5：
Foreword
Preface
Acknowledgements
71.
ＥＢ
David Kleidermacher, Mike Kleidermacher
出版情報:
Elsevier ScienceDirect Books Complete , Burlington : Newnes, 2012
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Foreword
Preface
Acknowledgements
Introduction to Embedded Systems Security / Chapter 1：
What is Security? / 1.1：
What is an Embedded System? / 1.2：
Embedded Security Trends / 1.3：
Embedded Systems Complexity / 1.3.1：
Network Connectivity / 1.3.2：
Reliance on Embedded Systems for Critical Infrastructure / 1.3.3：
Sophisticated Attackers / 1.3.4：
Processor Consolidation / 1.3.5：
Security Policies / 1.4：
Perfect Security / 1.4.1：
Confidentiality, Integrity, and Availability / 1.4.2：
Isolation / 1.4.3：
Information Flow Control / 1.4.4：
Physical Security Policies / 1.4.5：
Apphcation-Specific Policies / 1.4.6：
Security Threats / 1.5：
Case Study: VxWorks Debug Port Vulnerability / 1.5.1：
Wrap-up / 1.6：
Key Points / 1.7：
Bibliography and Notes / 1.8：
Systems Software Considerations / Chapter 2：
The Role of the Operating System / 2.1：
Multiple Independent Levels of Security / 2.2：
Information Flow / 2.2.1：
Data Isolation / 2.2.2：
Damage Limitation / 2.2.3：
Periods Processing / 2.2.4：
Always Invoked / 2.2.5：
Tamper Proof / 2.2.6：
Evaluable / 2.2.7：
Microkernel versus Monolith / 2.3：
Case Study: The Duqu Virus / 2.3.1：
Core Embedded Operating System Security Requirements / 2.4：
Memory Protection / 2.4.1：
Virtual Memory / 2.4.2：
Fault Recovery / 2.4.3：
Guaranteed Resources / 2.4.4：
Virtual Device Drivers / 2.4.5：
Impact of Determinism / 2.4.6：
Secure Scheduling / 2.4.7：
Access Control and Capabilities / 2.5：
Case Study: Secure Web Browser / 2.5.1：
Granularity versus Simplicity of Access Controls / 2.5.2：
Whitelists versus Blacklists / 2.5.3：
Confused Deputy Problem / 2.5.4：
Capabilities versus Access Control Lists / 2.5.5：
Capability Confinement and Revocation / 2.5.6：
Secure Design Using Capabilities / 2.5.7：
Hypervisors and System Virtualization / 2.6：
Introduction to System Virtualization / 2.6.1：
Applications of System Virtualization / 2.6.2：
Environment Sandboxing / 2.6.3：
Virtual Security Appliances / 2.6.4：
Hypervisor Architectures / 2.6.5：
Paravirtualization / 2.6.6：
Leveraging Hardware Assists for Virtualization / 2.6.7：
Hypervisor Security / 2.6.8：
I/O Virtualization / 2.7：
The Need for Shared I/O / 2.7.1：
Emulation / 2.7.2：
Pass-through / 2.7.3：
Shared IOMMU / 2.7.4：
IOMMUs and Virtual Device Drivers / 2.7.5：
Secure I/O Virtualization within Microkernels / 2.7.6：
Remote Management / 2.8：
Security Implications / 2.8.1：
Assuring Integrity of the TCB / 2.9：
Trusted Hardware and Supply Chain / 2.9.1：
Secure Boot / 2.9.2：
Static versus Dynamic Root of Trust / 2.9.3：
Remote Attestation / 2.9.4：
Secure Embedded Software Development / 2.10：
Introduction to PHASE-Principles of High-Assurance Software Engineering / 3.1：
Minimal Implementation / 3.2：
Component Architecture / 3.3：
Runtime Componentization / 3.3.1：
A Note on Processes versus Threads / 3.3.2：
Least Privilege / 3.4：
Secure Development Process / 3.5：
Change Management / 3.5.1：
Peer Reviews / 3.5.2：
Development Tool Security / 3.5.3：
Secure Coding / 3.5.4：
Software Testing and Verification / 3.5.5：
Development Process Efficiency / 3.5.6：
Independent Expert Validation / 3.6：
Common Criteria / 3.6.1：
Case Study: Operating System Protection Profiles / 3.6.2：
Case Study: HAWS-High-Assurance Web Server / 3.7：
Model-Driven Design / 3.7.1：
Introduction to MDD / 3.8.1：
Executable Models / 3.8.2：
Modeling Languages / 3.8.3：
Types of MDD Platforms / 3.8.4：
Case Study: A Digital Pathology Scanner / 3.8.5：
Selecting an MDD Platform / 3.8.6：
Using MDD in Safety-and Security-Critical Systems / 3.8.7：
Embedded Cryptography / 3.9：
Introduction / 4.1：
U.S. Government Cryptographic Guidance / 4.2：
NSA Suite B / 4.2.1：
The One-Time Pad / 4.3：
Cryptographic Synchronization / 4.3.1：
Cryptographic Modes / 4.4：
Output Feedback / 4.4.1：
Cipher Feedback / 4.4.2：
OFB with CFB Protection / 4.4.3：
Traffic Flow Security / 4.4.4：
Counter Mode / 4.4.5：
Block Ciphers / 4.5：
Additional Cryptographic Block Cipher Modes / 4.5.1：
Authenticated Encryption / 4.6：
CCM / 4.6.1：
Galois Counter Mode / 4.6.2：
Public Key Cryptography / 4.7：
RSA / 4.7.1：
Equivalent Key Strength / 4.7.2：
Trapdoor Construction / 4.7.3：
Key Agreement / 4.8：
Man-in-the-Middle Attack on Diffie-Hellman / 4.8.1：
Public Key Authentication / 4.9：
Certificate Types / 4.9.1：
Elliptic Curve Cryptography / 4.10：
Elliptic Curve Digital Signatures / 4.10.1：
Elliptic Curve Anonymous Key Agreement / 4.10.2：
Cryptographic Hashes / 4.11：
Secure Hash Algorithm / 4.11.1：
MMO / 4.11.2：
Message Authentication Codes / 4.12：
Random Number Generation / 4.13：
True Random Number Generation / 4.13.1：
Pseudo-Random Number Generation / 4.13.2：
Key Management for Embedded Systems / 4.14：
Case Study: The Walker Spy Case / 4.14.1：
Key Management-Generalized Model / 4.14.2：
Key Management Case Studies / 4.14.3：
Cryptographic Certifications / 4.15：
FIPS 140-2 Certification / 4.15.1：
NSA Certification / 4.15.2：
Data Protection Protocols for Embedded Systems / 4.16：
Data-in-Motion Protocols / 5.1：
Generalized Model / 5.2.1：
Choosing the Network Layer for Security / 5.2.2：
Ethernet Security Protocols / 5.2.3：
BPsec versus SSL / 5.2.4：
IPsec / 5.2.5：
SSL/TLS / 5.2.6：
Embedded VPN Clients / 5.2.7：
DTLS / 5.2.8：
SSH / 5.2.9：
Custom Network Security Protocols / 5.2.10：
Application of Cryptography within Network Security Protocols / 5 2.11：
Secure Multimedia Protocols / 5.2.12：
Broadcast Security / 5.2.13：
Data-at-Rest Protocols / 5.3：
Choosing the Storage Layer for Security / 5.3.1：
Symmetric Encryption Algorithm Selection / 5.3.2：
Managing the Storage Encryption Key / 5 3 3：
Advanced Threats to Data Encryption Solutions / 5.3.4：
Emerging Applications / 5.4：
Embedded Network Transactions / 6.1：
Anatomy of a Network Transaction / 6.1.1：
State of Insecurity / 6.1.2：
Network-based Transaction Threats / 6 1 3：
Modern Attempts to Improve Network Transaction Security / 6.1.4：
Trustworthy Embedded Transaction Architecture / 6.1.5：
Automotive Security / 6.2：
Vehicular Security Threats and Mitigations / 6.2.1：
Secure Android / 6.3：
Android Security Retrospective / 6.3.1：
Android Device Rooting / 6.3.2：
Mobile Phone Data Protection: A Case Study of Defense-in-Depth / 6.3.3：
Android Sandboxing Approaches / 6.3.4：
Next-Generation Software-Defined Radio / 6.4：
Red-Black Separation / 6.4.1：
Software-Defined Radio Architecture / 6.4.2：
Enter Linux / 6.4.3：
Multi-Domain Radio / 6.4.4：
Index / 6.5：
Foreword
Preface
Acknowledgements
72.
図書
Arvind Agarwal, Srinivasa Rao Bakshi, Debrupa Lahiri
目次情報:
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Foreword
Preface
Authors
List of Abbreviations
Introduction / 1：
Composite Materials / 1.1：
Development of Carbon Fibers / 1.2：
Carbon Nanotubes: Synthesis and Properties / 1.3：
Carbon Nanotube-Metal Matrix Composites / 1.4：
Chapter Highlights / 1.5：
References
Processing Techniques / 2：
Powder Metallurgy Routes / 2.1：
Conventional Sintering / 2.1.1：
Hot Pressing / 2.1.2：
Spark Plasma Sintering / 2.1.3：
Deformation Processing / 2.1.4：
Melt Processing / 2.2：
Casting / 2.2.1：
Melt Infiltration / 2.2.2：
Thermal Spraying / 2.3：
Plasma Spraying / 2.3.1：
High Velocity Oxy-Fuel Spraying / 2.3.2：
Cold Spraying / 2.3.3：
Electrochemical Routes / 2.4：
Novel Techniques / 2.5：
Molecular Level Mixing / 2.5.1：
Sputtering / 2.5.2：
Sandwich Processing / 2.5.3：
Torsion/Friction Processing / 2.5.4：
Chemical/Physical Vapor Deposition Techniques / 2.5.5：
Nanoscale Dispersion / 2.5.6：
Laser Deposition / 2.5.7：
Conclusion / 2.6：
Characterization of Metal Matrix-Carbon Nanotube Composites / 2.7：
X-Ray Diffraction / 3.1：
Raman Spectroscopy / 3.2：
Scanning Electron Microscopy with Energy Dispersive Spectroscopy / 3.3：
High Resolution Transmission Electron Microscopy / 3.4：
Electron Energy Loss Spectroscopy / 3.5：
X-Ray Photoelectron Spectroscopy / 3.6：
Mechanical Properties Evaluation / 3.7：
Nanoscale Mechanical Testing / 3.7.1：
Nano-Indentation / 3.7.1.1：
Nano Dynamic Modulus Analysis / 3.7.1.2：
Modulus Mapping / 3.7.1.3：
Nanoscratch / 3.7.1.4：
Macroscale/Bulk Mechanical Testing / 3.7.2：
Tensile/Compression Test / 3.7.2.1：
Tribological Property Evaluation / 3.7.2.2：
Thermal Properties / 3.8：
Electrical Properties / 3.9：
Electrochemical Properties / 3.10：
Metal-Carbon Nanotube Systems / 3.11：
Aluminum-Carbon Nanotube System / 4.1：
Copper-Carbon Nanotube System / 4.2：
Nickel-Carbon Nanotube System / 4.3：
Magnesium-Carbon Nanotube System / 4.4：
Other Metals-Carbon Nanotube Systems / 4.5：
Mechanics of Metal-Carbon Nanotube Systems / 4.6：
Elastic Modulus of Metal Matrix-Carbon Nanotube Composites / 5.1：
Modified Rule of Mixtures / 5.1.1：
Cox Model / 5.1.2：
Halpin-Tsai Model / 5.1.3：
Hashin-Shtrikman Model / 5.1.4：
Modified Eshelby Model / 5.1.5：
Dispersion-Based Model / 5.1.6：
Strengthening Mechanisms in Metal Matrix-Carbon Nanotube Composites / 5.2：
Shear Lag Models / 5.2.1：
Strengthening by Interphase / 5.2.2：
Strengthening by Carbon Nanotube Clusters / 5.2.3：
Halpin-Tsai Equations / 5.2.4：
Strengthening by Dislocations / 5.2.5：
Strengthening by Grain Refinement / 5.2.6：
Interfacial Phenomena in Carbon Nanotube Reinforced Metal Matrix Composites / 5.3：
Significance of Interfacial Phenomena / 6.1：
Energetics of Carbon Nanotube-Metal Interaction / 6.2：
Carbon Nanotube-Metal Interaction in Various Systems / 6.3：
Dispersion of Carbon Nanotubes in Metal Matrix / 6.4：
Significance of Carbon Nanotube Dispersion / 7.1：
Methods of Improving Carbon Nanotube Dispersion / 7.2：
Quantification of Carbon Nanotube Dispersion / 7.3：
Electrical, Thermal, Chemical, Hydrogen Storage, and Tribological Properties / 7.4：
Corrosion Properties / 8.1：
Hydrogen Storage Property / 8.4：
Sensors and Catalytic Properties / 8.5：
Tribological Properties / 8.6：
Computational Studies in Metal Matrix-Carbon Nanotube Composites / 8.7：
Thermodynamic Prediction of Carbon Nanotube-Metal Interface / 9.1：
Microstructure Simulation / 9.2：
Mechanical and Thermal Property Prediction by the Object-Oriented Finite Element Method / 9.3：
Summary and Future Directions / 9.4：
Summary of Research on MM-CNT Composites / 10.1：
Future Directions / 10.2：
Improvement in Quality of Carbon Nanotubes / 10.2.1：
Challenges Related to Processing / 10.2.2：
Aligned MM-CNT Composites / 10.2.3：
Understanding Mechanisms of Property Improvement / 10.2.4：
Environmental and Toxicity Aspects of MM-CNT Composites / 10.2.5：
Exploring Novel Applications / 10.2.6：
Index
73.
ＥＢ
Bradley D. Fahlman
出版情報:
SpringerLink Books - AutoHoldings , Springer Netherlands, 2011
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Preface
What is Materials Chemistry? / Chapter 1：
Historical Perspectives / 1.1：
Considerations in the Design of New Materials / 1.2：
Design of New Materials Through a ôCritical Thinkingö Approach / 1.3：
Solid-State Chemistry / Chapter 2：
Amorphous vs. Crystalline Solids / 2.1：
Types of Bonding in Solids / 2.2：
Ionic Solids / 2.2.1：
Metallic Solids / 2.2.2：
Covalent Network Solids / 2.2.3：
Molecular Solids / 2.2.4：
The Crystalline State / 2.3：
Crystal Growth Techniques / 2.3.1：
Crystal Structures / 2.3.2：
Crystal Symmetry and Space Groups / 2.3.3：
X-Ray Diffraction from Crystalline Solids / 2.3.4：
Crystal Imperfections / 2.3.5：
Physical Properties of Crystals / 2.3.6：
Bonding in Crystalline Solids: Introduction to Band Theory / 2.3.7：
The Amorphous State / 2.4：
Sol-Gel Processing / 2.4.1：
Glasses / 2.4.2：
Cementitious Materials / 2.4.3：
Ceramics / 2.4.4：
Metals / Chapter 3：
Mining and Processing of Metals / 3.1：
Powder Metallurgy / 3.1.1：
Metallic Structures and Properties / 3.2：
Phase Behavior of Iron-Carbon Alloys / 3.2.1：
Hardening Mechanisms of Steels / 3.2.2：
Stainless Steels / 3.2.3：
Nonferrous Metals and Alloys / 3.2.4：
Metal Surface Treatments for Corrosion Resistance / 3.3：
Magnetism / 3.4：
Reversible Hydrogen Storage / 3.5：
Semiconductors / Chapter 4：
Properties and Types of Semiconductors / 4.1：
Silicon-Based Applications / 4.2：
Silicon Wafer Production / 4.2.1：
Integrated Circuits / 4.2.2：
Light-Emitting Diodes: There is Life Outside of Silicon! / 4.3：
Thermoelectric (Te) Materials / 4.4：
Polymeric Materials / Chapter 5：
Polymer Classifications and Nomenclature / 5.1：
Polymerization Mechanisms / 5.2：
Addition Polymerization / 5.2.1：
Heterogeneous Catalysis / 5.2.2：
Homogeneous Catalysis / 5.2.3：
Step-Growth Polymerization / 5.2.4：
Dendritic Polymers / 5.2.5：
Polymerization via ôClickö Chemistry / 5.2.6：
ôSoft Materialsö Applications: Structure vs. Properties / 5.3：
Biomaterials Applications / 5.3.1：
Conductive Polymers / 5.3.2：
Molecular Magnets / 5.3.3：
Polymer Additives / 5.4：
Flame Retardants / 5.4.1：
Nanomaterials / Chapter 6：
Nanotoxicity / 6.1：
What is ôNanotechnologyö? / 6.2：
Nanoscale Building Blocks and Applications / 6.3：
Zero-Dimensional Nanomaterials / 6.3.1：
One-Dimensional Nanostructures / 6.3.2：
Two-Dimensional Nanostructures: The ôGraphene Frontierö / 6.3.3：
Materials Characterization / Chapter 7：
Optical Microscopy / 7.1：
Electron Microscopy / 7.2：
Electron Sources / 7.2.1：
Transmission Electron Microscopy (TEM) / 7.2.2：
Scanning Electron Microscopy (SEM) / 7.2.3：
Surface Characterization Techniques Based on Particle Bombardment / 7.3：
Photoelectron Spectroscopy (PES) / 7.3.1：
X-ray Absorption Fine Structure (XAFS) / 7.3.2：
Ion-Bombardment Techniques / 7.3.3：
Atom-Probe Tomography (APT) / 7.3.4：
Scanning Probe Microscopy (SPM) / 7.4：
Bulk Characterization Techniques / 7.5：
Chemical Vapor Deposition of Carbon Nanotubes / Appendix A：
Background Information / C.1.1：
Procedure / C.1.2：
Supercritical Fluid Facilitated Growth of Copper and Aluminum Oxide NanopArticles / C.2：
Synthesis and Characterization of Liquid Crystals / C.2.1：
Template Synthesis and Magnetic Manipulation of Nickel Nanowires / C.3.1：
Introduction to Photolithography / C.4.1：
Synthesis of Gold Nanoclusters / C.5.1：
Synthesis of Porous Silicon / C.6.1：
Solid-Liquid-Solid (SLS) Growth of Silicon Nanowires / C.7.1：
Synthesis of Ferrofluids / C.8.1：
Metallurgy/Phase Transformations / C.10：
Heat Treatment of Glass Ceramics / C.11：
Index
Preface
What is Materials Chemistry? / Chapter 1：
Historical Perspectives / 1.1：
74.
ＥＢ
Yves Croissant, Giovanni Millo
出版情報:
Wiley Online Library - AutoHoldings Books , John Wiley & Sons, Inc., 2018
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Preface
Acknowledgments
About the Companion Website
Introduction / 1：
Panel Data Econometrics: A Gentle Introduction / 1.1：
Eliminating Unobserved Components / 1.1.1：
Differencing Methods / 1.1.1.1：
LSDV Methods / 1.1.1.2：
Fixed Effects Methods / 1.1.1.3：
R for Econometric Computing / 1.2：
The Modus Operandi of R / 1.2.1：
Data Management / 1.2.2：
Outsourcing to Other Software / 1.2.2.1：
Data Management Through Formulae / 1.2.2.2：
plm for the Casual R User / 1.3：
R for the Matrix Language User / 1.3.1：
R for the User of Econometric Packages / 1.3.2：
plm for the Proficient R User / 1.4：
Reproducible Econometric Work / 1.4.1：
Object-orientation for the User / 1.4.2：
plm for the R Developer / 1.5：
Object-orientation for Development / 1.5.1：
Notations / 1.6：
General Notation / 1.6.1：
Maximum Likelihood Notations / 1.6.2：
Index / 1.6.3：
The Two-way Error Component Model / 1.6.4：
Transformation for the One-way Error Component Model / 1.6.5：
Transformation for the Two-ways Error Component Model / 1.6.6：
Groups and Nested Models / 1.6.7：
Instrumental Variables / 1.6.8：
Systems of Equations / 1.6.9：
Time Series / 1.6.10：
Limited Dependent and Count Variables / 1.6.11：
Spatial Panels / 1.6.12：
The Error Component Model / 2：
Notations and Hypotheses / 2.1：
Some Useful Transformations / 2.11：
Hypotheses Concerning the Errors / 2.1.3：
Ordinary Least Squares Estimators / 2.2：
Ordinary Least Squares on the Raw Data: The Pooling Model / 2.2.1：
The between Estimator / 2.2.2：
The within Estimator / 2.2.3：
The Generalized Least Squares Estimator / 2.3：
Presentation of the GLS Estimator / 2.3.1：
Estimation of the Variances of the Components of the Error / 2.3.2：
Comparison of the Estimators / 2.4：
Relations between the Estimators / 2.4.1：
Comparison of the Variances / 2.4.2：
Fixed vs Random Effects / 2.4.3：
Some Simple Linear Model Examples / 2.4.4：
The Two-ways Error Components Model / 2.5：
Error Components in the Two-ways Model / 2.5.1：
Fixed and Random Effects Models / 2.5.2：
Estimation of a Wage Equation / 2.6：
Advanced Error Components Models / 3：
Unbalanced Panels / 3.1：
Individual Effects Model / 3.1.1：
Two-ways Error Component Model / 3.1.2：
Fixed Effects Model / 3.1.2.1：
Random Effects Model / 3.1.2.2：
Estimation of the Components of the Error Variance / 3.1.3：
Seemingly Unrelated Regression / 3.2：
Constrained Least Squares / 3.2.1：
Inter-equations Correlation / 3.2.3：
Sur With Panel Data / 3.2.4：
The Maximum Likelihood Estimator / 3.3：
Derivation of the Likelihood Function / 3.3.1：
Computation of the Estimator / 3.3.2：
The Nested Error Components Model / 3.4：
Presentation of the Model / 3.4.1：
Estimation of the Variance of the Error Components / 3.4.2：
Tests on Error Component Models / 4：
Tests on Individual and/or Time Effects / 4.1：
F Tests / 4.1.1：
Breusch-Pagan Tests / 4.1.2：
Tests for Correlated Effects / 4.2：
The Mundlak Approach / 4.2.1：
Hausman Test / 4.2.2：
Chamberlain's Approach / 4.2.3：
Unconstrained Estimator / 4.2.3.1：
Constrained Estimator / 4.2.3.2：
Fixed Effects Models / 4.2.3.3：
Tests for Serial Correlation / 4.3：
Unobserved Effects Test / 4.3.1：
Score Test of Serial Correlation and/or Individual Effects / 4.3.2：
Likelihood Ratio Tests for AR(1) and Individual Effects / 4.3.3：
Applying Traditional Serial Correlation Tests to Panel Data / 4.3.4：
Wald Tests for Serial Correlation using within and First-differenced Estimators / 4.3.5：
Wooldridge's within-based Test / 4.3.5.1：
Wooldridge's First-difference-based Test / 4.3.5.2：
Tests for Cross-sectional Dependence / 4.4：
Pairwise Correlation Coefficients / 4.4.1：
CD-type Tests for Cross-sectional Dependence / 4.4.2：
Testing Cross-sectional Dependence in a pseries / 4.4.3：
Robust Inference and Estimation for Non-spherical Errors / 5：
Robust Inference / 5.1：
Robust Covariance Estimators / 5.1.1：
Cluster-robust Estimation in a Panel Setting / 5.1.1.1：
Double Clustering / 5.1.1.2：
Panel Newey-west and SCC / 5.1.1.3：
Generic Sandwich Estimators and Panel Models / 5.1.2：
Panel Corrected Standard Errors / 5.1.2.1：
Robust Testing of Linear Hypotheses / 5.1.3：
An Application: Robust Hausman Testing / 5.1.3.1：
Unrestricted Generalized Least Squares / 5.2：
General Feasible Generalized Least Squares / 5.2.1：
Pooled GGLS / 5.2.11：
Fixed Effects GLS / 5.2.12：
First Difference GLS / 5.2.13：
Applied Examples / 5.2.2：
Endogeneity / 6：
The Instrumental Variables Estimator / 6.1：
Generalities about the Instrumental Variables Estimator / 6.2.1：
The within Instrumental Variables Estimator / 6.2.2：
Error Components Instrumental Variables Estimator / 6.3：
The General Model / 6.3.1：
Special Cases of the General Model / 6.3.2：
The within Model / 6.3.2.1：
Error Components Two Stage Least Squares / 6.3.2.2：
The Hausman and Taylor Model / 6.3.2.3：
The Amemiya-Macurdy Estimator / 6.3.2.4：
The Breusch, Mizon and Schmidt's Estimator / 6.3.2.5：
Balestra and Varadharajan-Krishnakumar Estimator / 6.3.2.6：
Estimation of a System of Equations / 6.4：
The Three Stage Least Squares Estimator / 6.4.1：
The Error Components Three Stage Least Squares Estimator / 6.4.2：
More Empirical Examples / 6.5：
Estimation of a Dynamic Model / 7：
Dynamic Model and Endogeneity / 7.1：
The Bias of the OLS Estimator / 7.1.1：
Consistent Estimation Methods for Dynamic Models / 7.1.2：
GMM Estimation of the Differenced Model / 7.2：
Instrumental Variables and Generalized Method of Moments / 7.2.1：
One-step Estimator / 7.2.2：
Two-steps Estimator / 7.2.3：
The Proliferation of Instruments in the Generalized Method of Moments Difference Estimator / 7.2.4：
Generalized Method of Moments Estimator in Differences and Levels / 7.3：
Weak Instruments / 7.3.1：
Moment Conditions on the Levels Model / 7.3.2：
The System GMM Estimator / 7.3.3：
Inference / 7.4：
Robust Estimation of the Coefficients' Covariance / 7.4.1：
Overidentification Tests / 7.4.2：
Error Serial Correlation Test / 7.4.3：
Panel Time Series / 7.5：
Heterogeneous Coefficients / 8.1：
Fixed Coefficients / 8.2.1：
Random Coefficients / 8.2.2：
The Swamy Estimator / 8.2.2.1：
The Mean Groups Estimator / 8.2.2.2：
Testing for Poolability / 8.2.3：
Cross-sectional Dependence and Common Factors / 8.3：
The Common Factor Model / 8.3.1：
Common Correlated Effects Augmentation / 8.3.2：
CCE Mean Groups vs. CCE Pooled / 8.3.2.1：
Computing the CCEP Variance / 8.3.2.2：
Nonstationarity and Cointegration / 8.4：
Unit Root Testing: Generalities / 8.4.1：
First Generation Unit Root Testing / 8.4.2：
Preliminary Results / 8.4.2.1：
Levin-Lin-Chu Test / 8.4.2.2：
Im, Pesaran and Shin Test / 8.4.2.3：
The Maddala and Wu Test / 8.4.2.4：
Second Generation Unit Root Testing / 8.4.3：
Count Data and Limited Dependent Variables / 9：
Binomial and Ordinal Models / 9.1：
The Binomial Model / 9.1.1：
Ordered Models / 9.1.1.2：
The Random Effects Model / 9.1.2：
The Conditional Logit Model / 9.1.2.1：
Censored or Truncated Dependent Variable / 9.2：
The Ordinary Least Squares Estimator / 9.2.1：
The Symmetrical Trimmed Estimator / 9.2.3：
Truncated Sample / 9.2.3.1：
Censored Sample / 9.2.3.2：
Count Data / 9.2.4：
The Poisson Model / 9.3.1：
The NegBin Model / 9.3.1.2：
Negbin Model / 9.3.2：
Random Effects Models / 9.3.3：
Spatial Correlation / 9.3.3.1：
Visual Assessment / 10.1.1：
Testing for Spatial Dependence / 10.1.2：
CD P Tests for Local Cross-sectional Dependence / 10.1.2.1：
The Randomized W Test / 10.1.2.2：
Spatial Lags / 10.2：
Spatially Lagged Regressors / 10.2.1：
Spatially Lagged Dependent Variables / 10.2.2：
Spatial OLS / 10.2.2.1：
ML Estimation of the SAR Model / 10.2.2.2：
Spatially Correlated Errors / 10.2.3：
Individual Heterogeneity in Spatial Panels / 10.3：
Random versus Fixed Effects / 10.3.1：
Spatial Panel Models with Error Components / 10.3.2：
Spatial Panels with Independent Random Effects / 10.3.2.1：
Spatially Correlated Random Effects / 10.3.2.2：
Estimation / 10.3.3：
Spatial Models with a General Error Covariance / 10.3.3.1：
General Maximum Likelihood Framework / 10.3.3.2：
Generalized Moments Estimation / 10.3.3.3：
Testing / 10.3.4：
LM Tests for Random Effects and Spatial Errors / 10.3.4.1：
Testing for Spatial Lag vs Error / 10.3.4.2：
Serial and Spatial Correlation / 10.4：
Maximum Likelihood Estimation / 10.4.1：
Serial and Spatial Correlation in the Random Effects Model / 10.4.1.1：
Serial and Spatial Correlation with KKP-Type Effects / 10.4.1.2：
Tests for Random Effects, Spatial, and Serial Error Correlation / 10.4.2：
Spatial Lag vs Error in the Serially Correlated Model / 10.4.2.2：
Bibliography
Preface
Acknowledgments
About the Companion Website
75.
ＥＢ
Liyang Yu
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2011
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A Web of Data: Toward the Idea of the Semantic Web / 1：
A Motivating Example: Data Integration on the Web / 1.1：
A Smart Data Integration Agent / 1.1.1：
Is Smart Data Integration Agent Possible? / 1.1.2：
The Idea of the Semantic Web / 1.1.3：
A More General Goal: A Web Understandable to Machines / 1.2：
How Do We Use the Web? / 1.2.1：
What Stops Us from Doing More? / 1.2.2：
Again, the Idea of the Semantic Web / 1.2.3：
The Semantic Web: A First Look / 1.3：
The Concept of the Semantic Web / 1.3.1：
The Semantic Web, Linked Data, and the Web of Data / 1.3.2：
Some Basic Things About the Semantic Web / 1.3.3：
Reference
The Building Block for the Semantic Web: RDF / 2：
RDF Overview / 2.1：
RDF in Official Language / 2.1.1：
RDF in Plain English / 2.1.2：
The Abstract Model of RDF / 2.2：
The Big Picture / 2.2.1：
Statement / 2.2.2：
Resource and Its Uri Name / 2.2.3：
Predicate and Its Uri Name / 2.2.4：
RDF Triples: Knowledge That Machine Can Use / 2.2.5：
RDF Literals and Blank Node / 2.2.6：
A Summary So Far / 2.2.7：
RDF Serialization: RDF/XML Syntax / 2.3：
The Big Picture: RDF Vocabulary / 2.3.1：
Basic Syntax and Examples / 2.3.2：
Other RDF Capabilities and Examples / 2.3.3：
Other RDF Sterilization Formats / 2.4：
Notation-3,Turtle, and N-Triples / 2.4.1：
Turtle Language / 2.4.2：
Fundamental Rules of RDF / 2.5：
Information Understandable by Machine / 2.5.1：
Distributed Information Aggregation / 2.5.2：
A Hypothetical Real-World Example / 2.5.3：
More About RDF / 2.6：
Dublin Core: Example of Pre-defined RDF Vocabulary / 2.6.1：
XML vs RDF? / 2.6.2：
Use an RDF Validator / 2.6.3：
Summary / 2.7：
Other RDF-Related Technologies: Microformats, RDFa, and Grddl / 3：
Introduction: Why Do We Need These? / 3.1：
Microformats / 3.2：
Microformats: The Big Picture / 3.2.1：
Microformats: Syntax and Examples / 3.2.2：
Microformats and RDF / 3.2.3：
RDFa / 3.3：
RDFa: The Big Picture / 3.3.1：
RDFa Attributes and RDFa Elements / 3.3.2：
RDFa: Rules and Examples / 3.3.3：
RDFa and RDF / 3.3.4：
Grddl / 3.4：
Grdll: The Big Picture / 3.4.1：
Using Grdll with Microformats / 3.4.2：
Using Grdll with RDFa / 3.4.3：
RDFs and Ontology / 3.5：
RDdfs Overview / 4.1：
RDFs in Plain English / 4.1.1：
RDFs in Official Language / 4.1.2：
RDFs + RDF: One More Step Toward Machine Readable / 4.2：
A Common Language to Share / 4.2.1：
Machine Inferencing Based on RDFs / 4.2.2：
RDFs Core Elements / 4.3：
The Big Picture: RDFs Vocabulary / 4.3.1：
Summary So Far / 4.3.2：
The Concept of Ontology / 4.4：
What Is Ontology? / 4.4.1：
The Benefits of Ontology / 4.4.2：
Building the Bridge to Ontology: Skos / 4.5：
Knowledge Organization Systems (Kos) / 4.5.1：
Thesauri vs. Ontologies / 4.5.2：
Filling the Gap: Skos / 4.5.3：
Another Look at Inferencing Based on RDF Schema / 4.6：
RDFs Ontology-Based Reasoning: Simple, Yet Powerful / 4.6.1：
Good, Better, and Best: More Is Needed / 4.6.2：
Owl: Web Ontology Language / 4.7：
OWL Overview / 5.1：
OWL in Plain English / 5.1.1：
OWL in Official Language: Owl 1 and Owl 2 / 5.1.2：
From Owl 1 to Owl 2 / 5.1.3：
Owl 1 and Owl 2: The Big Picture / 5.2：
Basic Notions: Axiom, Entity, Expression, and Idi Names / 5.2.1：
Basic Syntax Forms: Functional Style, RDF/XML Syntax, Manchester Syntax, and XML Syntax / 5.2.2：
Owl 1 Web Ontology Language / 5.3：
Defining Classes: The Basics / 5.3.1：
Defining Glasses: Localizing Global Properties / 5.3.2：
Defining Classes: Using Set Operators / 5.3.3：
Defining Classes: Using Enumeration Equivalent, and Disjoint / 5.3.4：
Our Camera Ontology So Far / 5.3.5：
Define Properties: The Basics / 5.3.6：
Defining Properties: Property Characteristics / 5.3.7：
Camera Ontology Written Using Owl 1 / 5.3.8：
Owl 2 Web Ontology Language / 5.4：
What Is New in Owl 2? / 5.4.1：
New Constructs for Common Patterns / 5.4.2：
Improved Expressiveness for Properties / 5.4.3：
Extended Support for Datatypes / 5.4.4：
Punning and Annotations / 5.4.5：
Other Owl 2 Features / 5.4.6：
Owl Constructs in Instance Documents / 5.4.7：
Owl 2 Profiles / 5.4.8：
Our Camera Ontology in Owl 2 / 5.4.9：
Sparql: Querying the Semantic Web / 5.5：
Sparql Overvie / 6.1：
Sparql in Official Language / 6.1.1：
Sparql in Plain English / 6.1.2：
Other Related Concepts: RDF Data Store, RDF Database, and Triple Store / 6.1.3：
Set up Joseki Sparql Endpoint / 6.2：
Sparql Query Language / 6.3：
Select Query / 6.3.1：
Construct Query / 6.3.3：
Describe Query / 6.3.4：
Ask Query / 6.3.5：
What Is Missing from Sparql? / 6.4：
SPARQL 1.1 / 6.5：
Introduction: What Is New? / 6.5.1：
Sparql 1.1 Query / 6.5.2：
Sparql 1.1 Update / 6.5.3：
Foff: Friend of a Friend / 6.6：
What Is Foaf and What It Does / 7.3：
Foaf in Plain English / 7.1.1：
Foaf in Official Language / 7.1.2：
Core Foaf Vocabulary and Examples / 7.2：
The Big Picture: Foaf Vocabulary / 7.2.1：
Core Terms and Examples / 7.2.2：
Create Your Foaf Document and Get into the Friend Circle
How Does the Circle Work? / 7.3.1：
Create Your Foaf Document / 7.3.2：
Get into the Circle: Publish Your Foaf Document / 7.3.3：
From Web Pages for Human Eyes to Web Pages for Machines / 7.3.4：
Semantic Markup: a Connection Between the Two Worlds / 7.4：
What Is Semantic Markup / 7.4.1：
Semantic Markup: Procedure and Example / 7.4.2：
Semantic Markup: Feasibility and Different Approaches / 7.4.3：
Semantic Markup at Work: Rich Snippets and SearchMonkey / 7.5：
Introduction / 8.1：
Prerequisite: How Does a Search Engine Work? / 8.1.1：
Rich Snippets and SearchMonkey / 8.1.2：
Rich Snippets by Google / 8.2：
What Is Rich Snippets: An Example / 8.2.1：
How Does It Work: Semantic Markup Using Microformats RDFa / 8.2.2：
Test It Out Yourself / 8.2.3：
SearchMonkey from Yahoo! / 8.3：
What Is SearchMonkey: An Example / 8.3.1：
How Does It Work: Semantic Markup Using Microformats/RDFa / 8.3.2：
Semantic Wiki / 8.3.3：
Introduction: From Wiki to Semantic Wiki / 9.1：
What Is a Wiki? / 9.1.1：
From Wiki to Semantic Wiki / 9.1.2：
Adding Semantics to Wiki Site / 9.2：
Namespace and Category System / 9.2.1：
Semantic Annotation in Semantic MediaWiki / 9.2.2：
Using the Added Semantics / 9.3：
Browsing / 9.3.1：
Wiki Site Semantic Search / 9.3.2：
Inferencing / 9.3.3：
Where Is the Semantics? / 9.4：
Swivt: an Upper Ontology for Semantic Wiki / 9.4.1：
Understanding Owl/RDF Exports / 9.4.2：
Importing Ontology: a Bridge to Outside World / 9.4.3：
The Power of the Semantic Web / 9.5：
Use Semantic MediaWiki to Build Your Own Semantic Wiki / 9.6：
DBpedia / 9.7：
Introduction to DBpedia / 10.1：
From Manual Markup to Automatic Generation of Annotation / 10.1.1：
From Wikipedia to DBpedia / 10.1.2：
The Look and Feel of DBpedia: Page Redirect / 10.1.3：
Semantics in DBpedia / 10.2：
Infobox Template / 10.2.1：
Creating DBpedia Ontology / 10.2.2：
Infobox Extraction Methods / 10.2.3：
Accessing DBpedia Dataset / 10.3：
Using Sparql to Query DBpedia / 10.3.1：
Direct Download of DBpedia Datasets / 10.3.2：
Access DBpedia as Linked Data / 10.3.3：
Linked Open Data / 10.4：
The Concept of Linked Data and Its Basic Rules / 11.1：
The Concept of Linked Data / 11.1.1：
How Big Is the Web of Linked Data and the Lod Project / 11.1.2：
The Basic Rules of Linked Data / 11.1.3：
Publishing RDF Data on the Web / 11.2：
Identifying Things with Uris / 11.2.1：
Choosing Vocabularies for RDF Data / 11.2.2：
Creating Links to Other RDF Data / 11.2.3：
Serving Information as Linked Data / 11.2.4：
The Consumption of Linked Data / 11.3：
Discover Specific Target on the Linked Data Web / 11.3.1：
Accessing the Web of Linked Data / 11.3.2：
Linked Data Application / 11.4：
Linked Data Application Example: Revyu / 11.4.1：
Web 2.0 Mashups vs. Linked Data Mashups / 11.4.2：
Building the Foundation for Development on the Semantic Web / 11.5：
Development Tools for the Semantic Web / 12.1：
Frameworks for the Semantic Web Applications / 12.1.1：
Reasoners for the Semantic Web Applications / 12.1.2：
Ontology Engineering Environments / 12.1.3：
Other Tools: Search Engines for the Semantic Web / 12.1.4：
Where to Find More? / 12.1.5：
Semantic Web Application Development Methodology / 12.2：
From Domain Models to Ontology-Driven Architecture / 12.2.1：
An Ontology Development Methodology Proposed by Noy and McGuinness / 12.2.2：
Jena: A Framework for Development on the Semantic Web / 12.3：
Jena: A Semantic Web Framework for Java / 13.1：
What Is Jena and What It Can Do for Us? / 13.1.1：
Getting Jena Package / 13.1.2：
Using Jena in Your Projects / 13.1.3：
Basic RDF Model Operations / 13.2：
Creating an RDF Model / 13.2.1：
Reading an RDF Model / 13.2.2：
Understanding an RDF Model / 13.2.3：
Handling Persistent RDF Models / 13.3：
From In-memory Model to Persistent Model / 13.3.1：
Setting Up MySql / 13.3.2：
Database-Backed RDF Models / 13.3.3：
Inferencing Using Jena / 13.4：
Jena Inferencing Model / 13.4.1：
Jena Inferencing Examples / 13.4.2：
Follow Your Nose: A Basic Semantic Web Agent / 13.5：
The Principle of Follow-Your-Nose Method / 14.1：
What Is Follow-Your-Nose Method? / 14.1.1：
Uri Declarations, Open Linked Data and Follow-Your-Nose Method / 14.1.2：
A Follow-Your-Nose Agent in Java / 14.2：
Building the Agent / 14.2.1：
Running the Agent / 14.2.2：
More Clues for Follow Your Nose / 14.2.3：
Can You Follow Your Nose on Traditional Web? / 14.2.4：
A Better Implementation of Follow-Your-Nose Agent: Using Sparql Queries / 14.3：
In-memory SPARQL Operation / 14.3.1：
Using SPARQL Endpoints Remotely / 14.3.2：
More Application Examples on the Semantic Web / 14.4：
Building Your Circle of Trust: A FOAF Agent You Can Use / 15.1：
Who Is on Your E-mail List? / 15.1.1：
The Basic Idea / 15.1.2：
Building the EmailAddressCollector Agent / 15.1.3：
Can You Do the Same for Traditional Web? / 15.1.4：
A ShopBot on the Semantic Web / 15.2：
A ShopBot We Can Have / 15.2.1：
A ShopBot We Really Want / 15.2.2：
Building Our ShopBot / 15.2.3：
Discussion: From Prototype to Reality / 15.2.4：
Index / 15.3：
A Web of Data: Toward the Idea of the Semantic Web / 1：
A Motivating Example: Data Integration on the Web / 1.1：
A Smart Data Integration Agent / 1.1.1：
76.
ＥＢ
Liyang Yu
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
子書誌情報:
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A Web of Data: Toward the Idea of the Semantic Web / 1：
A Motivating Example: Data Integration on the Web / 1.1：
A Smart Data Integration Agent / 1.1.1：
Is Smart Data Integration Agent Possible? / 1.1.2：
The Idea of the Semantic Web / 1.1.3：
A More General Goal: A Web Understandable to Machines / 1.2：
How Do We Use the Web? / 1.2.1：
What Stops Us from Doing More? / 1.2.2：
Again, the Idea of the Semantic Web / 1.2.3：
The Semantic Web: A First Look / 1.3：
The Concept of the Semantic Web / 1.3.1：
The Semantic Web, Linked Data, and the Web of Data / 1.3.2：
Some Basic Things About the Semantic Web / 1.3.3：
Reference
The Building Block for the Semantic Web: RDF / 2：
RDF Overview / 2.1：
RDF in Official Language / 2.1.1：
RDF in Plain English / 2.1.2：
The Abstract Model of RDF / 2.2：
The Big Picture / 2.2.1：
Statement / 2.2.2：
Resource and Its Uri Name / 2.2.3：
Predicate and Its Uri Name / 2.2.4：
RDF Triples: Knowledge That Machine Can Use / 2.2.5：
RDF Literals and Blank Node / 2.2.6：
A Summary So Far / 2.2.7：
RDF Serialization: RDF/XML Syntax / 2.3：
The Big Picture: RDF Vocabulary / 2.3.1：
Basic Syntax and Examples / 2.3.2：
Other RDF Capabilities and Examples / 2.3.3：
Other RDF Sterilization Formats / 2.4：
Notation-3,Turtle, and N-Triples / 2.4.1：
Turtle Language / 2.4.2：
Fundamental Rules of RDF / 2.5：
Information Understandable by Machine / 2.5.1：
Distributed Information Aggregation / 2.5.2：
A Hypothetical Real-World Example / 2.5.3：
More About RDF / 2.6：
Dublin Core: Example of Pre-defined RDF Vocabulary / 2.6.1：
XML vs RDF? / 2.6.2：
Use an RDF Validator / 2.6.3：
Summary / 2.7：
Other RDF-Related Technologies: Microformats, RDFa, and Grddl / 3：
Introduction: Why Do We Need These? / 3.1：
Microformats / 3.2：
Microformats: The Big Picture / 3.2.1：
Microformats: Syntax and Examples / 3.2.2：
Microformats and RDF / 3.2.3：
RDFa / 3.3：
RDFa: The Big Picture / 3.3.1：
RDFa Attributes and RDFa Elements / 3.3.2：
RDFa: Rules and Examples / 3.3.3：
RDFa and RDF / 3.3.4：
Grddl / 3.4：
Grdll: The Big Picture / 3.4.1：
Using Grdll with Microformats / 3.4.2：
Using Grdll with RDFa / 3.4.3：
RDFs and Ontology / 3.5：
RDdfs Overview / 4.1：
RDFs in Plain English / 4.1.1：
RDFs in Official Language / 4.1.2：
RDFs + RDF: One More Step Toward Machine Readable / 4.2：
A Common Language to Share / 4.2.1：
Machine Inferencing Based on RDFs / 4.2.2：
RDFs Core Elements / 4.3：
The Big Picture: RDFs Vocabulary / 4.3.1：
Summary So Far / 4.3.2：
The Concept of Ontology / 4.4：
What Is Ontology? / 4.4.1：
The Benefits of Ontology / 4.4.2：
Building the Bridge to Ontology: Skos / 4.5：
Knowledge Organization Systems (Kos) / 4.5.1：
Thesauri vs. Ontologies / 4.5.2：
Filling the Gap: Skos / 4.5.3：
Another Look at Inferencing Based on RDF Schema / 4.6：
RDFs Ontology-Based Reasoning: Simple, Yet Powerful / 4.6.1：
Good, Better, and Best: More Is Needed / 4.6.2：
Owl: Web Ontology Language / 4.7：
OWL Overview / 5.1：
OWL in Plain English / 5.1.1：
OWL in Official Language: Owl 1 and Owl 2 / 5.1.2：
From Owl 1 to Owl 2 / 5.1.3：
Owl 1 and Owl 2: The Big Picture / 5.2：
Basic Notions: Axiom, Entity, Expression, and Idi Names / 5.2.1：
Basic Syntax Forms: Functional Style, RDF/XML Syntax, Manchester Syntax, and XML Syntax / 5.2.2：
Owl 1 Web Ontology Language / 5.3：
Defining Classes: The Basics / 5.3.1：
Defining Glasses: Localizing Global Properties / 5.3.2：
Defining Classes: Using Set Operators / 5.3.3：
Defining Classes: Using Enumeration Equivalent, and Disjoint / 5.3.4：
Our Camera Ontology So Far / 5.3.5：
Define Properties: The Basics / 5.3.6：
Defining Properties: Property Characteristics / 5.3.7：
Camera Ontology Written Using Owl 1 / 5.3.8：
Owl 2 Web Ontology Language / 5.4：
What Is New in Owl 2? / 5.4.1：
New Constructs for Common Patterns / 5.4.2：
Improved Expressiveness for Properties / 5.4.3：
Extended Support for Datatypes / 5.4.4：
Punning and Annotations / 5.4.5：
Other Owl 2 Features / 5.4.6：
Owl Constructs in Instance Documents / 5.4.7：
Owl 2 Profiles / 5.4.8：
Our Camera Ontology in Owl 2 / 5.4.9：
Sparql: Querying the Semantic Web / 5.5：
Sparql Overvie / 6.1：
Sparql in Official Language / 6.1.1：
Sparql in Plain English / 6.1.2：
Other Related Concepts: RDF Data Store, RDF Database, and Triple Store / 6.1.3：
Set up Joseki Sparql Endpoint / 6.2：
Sparql Query Language / 6.3：
Select Query / 6.3.1：
Construct Query / 6.3.3：
Describe Query / 6.3.4：
Ask Query / 6.3.5：
What Is Missing from Sparql? / 6.4：
SPARQL 1.1 / 6.5：
Introduction: What Is New? / 6.5.1：
Sparql 1.1 Query / 6.5.2：
Sparql 1.1 Update / 6.5.3：
Foff: Friend of a Friend / 6.6：
What Is Foaf and What It Does / 7.3：
Foaf in Plain English / 7.1.1：
Foaf in Official Language / 7.1.2：
Core Foaf Vocabulary and Examples / 7.2：
The Big Picture: Foaf Vocabulary / 7.2.1：
Core Terms and Examples / 7.2.2：
Create Your Foaf Document and Get into the Friend Circle
How Does the Circle Work? / 7.3.1：
Create Your Foaf Document / 7.3.2：
Get into the Circle: Publish Your Foaf Document / 7.3.3：
From Web Pages for Human Eyes to Web Pages for Machines / 7.3.4：
Semantic Markup: a Connection Between the Two Worlds / 7.4：
What Is Semantic Markup / 7.4.1：
Semantic Markup: Procedure and Example / 7.4.2：
Semantic Markup: Feasibility and Different Approaches / 7.4.3：
Semantic Markup at Work: Rich Snippets and SearchMonkey / 7.5：
Introduction / 8.1：
Prerequisite: How Does a Search Engine Work? / 8.1.1：
Rich Snippets and SearchMonkey / 8.1.2：
Rich Snippets by Google / 8.2：
What Is Rich Snippets: An Example / 8.2.1：
How Does It Work: Semantic Markup Using Microformats RDFa / 8.2.2：
Test It Out Yourself / 8.2.3：
SearchMonkey from Yahoo! / 8.3：
What Is SearchMonkey: An Example / 8.3.1：
How Does It Work: Semantic Markup Using Microformats/RDFa / 8.3.2：
Semantic Wiki / 8.3.3：
Introduction: From Wiki to Semantic Wiki / 9.1：
What Is a Wiki? / 9.1.1：
From Wiki to Semantic Wiki / 9.1.2：
Adding Semantics to Wiki Site / 9.2：
Namespace and Category System / 9.2.1：
Semantic Annotation in Semantic MediaWiki / 9.2.2：
Using the Added Semantics / 9.3：
Browsing / 9.3.1：
Wiki Site Semantic Search / 9.3.2：
Inferencing / 9.3.3：
Where Is the Semantics? / 9.4：
Swivt: an Upper Ontology for Semantic Wiki / 9.4.1：
Understanding Owl/RDF Exports / 9.4.2：
Importing Ontology: a Bridge to Outside World / 9.4.3：
The Power of the Semantic Web / 9.5：
Use Semantic MediaWiki to Build Your Own Semantic Wiki / 9.6：
DBpedia / 9.7：
Introduction to DBpedia / 10.1：
From Manual Markup to Automatic Generation of Annotation / 10.1.1：
From Wikipedia to DBpedia / 10.1.2：
The Look and Feel of DBpedia: Page Redirect / 10.1.3：
Semantics in DBpedia / 10.2：
Infobox Template / 10.2.1：
Creating DBpedia Ontology / 10.2.2：
Infobox Extraction Methods / 10.2.3：
Accessing DBpedia Dataset / 10.3：
Using Sparql to Query DBpedia / 10.3.1：
Direct Download of DBpedia Datasets / 10.3.2：
Access DBpedia as Linked Data / 10.3.3：
Linked Open Data / 10.4：
The Concept of Linked Data and Its Basic Rules / 11.1：
The Concept of Linked Data / 11.1.1：
How Big Is the Web of Linked Data and the Lod Project / 11.1.2：
The Basic Rules of Linked Data / 11.1.3：
Publishing RDF Data on the Web / 11.2：
Identifying Things with Uris / 11.2.1：
Choosing Vocabularies for RDF Data / 11.2.2：
Creating Links to Other RDF Data / 11.2.3：
Serving Information as Linked Data / 11.2.4：
The Consumption of Linked Data / 11.3：
Discover Specific Target on the Linked Data Web / 11.3.1：
Accessing the Web of Linked Data / 11.3.2：
Linked Data Application / 11.4：
Linked Data Application Example: Revyu / 11.4.1：
Web 2.0 Mashups vs. Linked Data Mashups / 11.4.2：
Building the Foundation for Development on the Semantic Web / 11.5：
Development Tools for the Semantic Web / 12.1：
Frameworks for the Semantic Web Applications / 12.1.1：
Reasoners for the Semantic Web Applications / 12.1.2：
Ontology Engineering Environments / 12.1.3：
Other Tools: Search Engines for the Semantic Web / 12.1.4：
Where to Find More? / 12.1.5：
Semantic Web Application Development Methodology / 12.2：
From Domain Models to Ontology-Driven Architecture / 12.2.1：
An Ontology Development Methodology Proposed by Noy and McGuinness / 12.2.2：
Jena: A Framework for Development on the Semantic Web / 12.3：
Jena: A Semantic Web Framework for Java / 13.1：
What Is Jena and What It Can Do for Us? / 13.1.1：
Getting Jena Package / 13.1.2：
Using Jena in Your Projects / 13.1.3：
Basic RDF Model Operations / 13.2：
Creating an RDF Model / 13.2.1：
Reading an RDF Model / 13.2.2：
Understanding an RDF Model / 13.2.3：
Handling Persistent RDF Models / 13.3：
From In-memory Model to Persistent Model / 13.3.1：
Setting Up MySql / 13.3.2：
Database-Backed RDF Models / 13.3.3：
Inferencing Using Jena / 13.4：
Jena Inferencing Model / 13.4.1：
Jena Inferencing Examples / 13.4.2：
Follow Your Nose: A Basic Semantic Web Agent / 13.5：
The Principle of Follow-Your-Nose Method / 14.1：
What Is Follow-Your-Nose Method? / 14.1.1：
Uri Declarations, Open Linked Data and Follow-Your-Nose Method / 14.1.2：
A Follow-Your-Nose Agent in Java / 14.2：
Building the Agent / 14.2.1：
Running the Agent / 14.2.2：
More Clues for Follow Your Nose / 14.2.3：
Can You Follow Your Nose on Traditional Web? / 14.2.4：
A Better Implementation of Follow-Your-Nose Agent: Using Sparql Queries / 14.3：
In-memory SPARQL Operation / 14.3.1：
Using SPARQL Endpoints Remotely / 14.3.2：
More Application Examples on the Semantic Web / 14.4：
Building Your Circle of Trust: A FOAF Agent You Can Use / 15.1：
Who Is on Your E-mail List? / 15.1.1：
The Basic Idea / 15.1.2：
Building the EmailAddressCollector Agent / 15.1.3：
Can You Do the Same for Traditional Web? / 15.1.4：
A ShopBot on the Semantic Web / 15.2：
A ShopBot We Can Have / 15.2.1：
A ShopBot We Really Want / 15.2.2：
Building Our ShopBot / 15.2.3：
Discussion: From Prototype to Reality / 15.2.4：
Index / 15.3：
A Web of Data: Toward the Idea of the Semantic Web / 1：
A Motivating Example: Data Integration on the Web / 1.1：
A Smart Data Integration Agent / 1.1.1：
77.
図書
Paul Darbyshire and David Hampton
出版情報:
Chichester, West Sussex : Wiley, 2011 xv, 261 p. ; 24 cm
子書誌情報:
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Preface
The Hedge Fund Industry / 1：
What Are Hedge Funds? / 1.1：
The Structure of a Hedge Fund / 1.2：
Fund Administrators / 1.2.1：
Prime Brokers / 1.2.2：
Custodian, Auditors and Legal / 1.2.3：
The Global Hedge Fund Industry / 1.3：
North America / 1.3.1：
Europe / 1.3.2：
Asia / 1.3.3：
Specialist Investment Techniques / 1.4：
Short Selling / 1.4.1：
Leverage / 1.4.2：
Liquidity / 1.4.3：
New Developments for Hedge Funds / 1.5：
UCITS III Hedge Funds / 1.5.1：
The European Passport / 1.5.2：
Restrictions on Short Selling / 1.5.3：
Major Hedge Fund Strategies / 2：
Single and Multi Strategy Hedge Funds / 2.1：
Fund of Hedge Funds / 2.2：
Hedge Fund Strategies / 2.3：
Tactical Strategies / 2.3.1：
Global Macro / 2.3.1.1：
Managed Futures / 2.3.1.2：
Long/Short Equity / 2.3.1.3：
Pairs Trading / 2.3.1.4：
Event-Driven / 2.3.2：
Distressed Securities / 2.3.2.1：
Merger Arbitrage / 2.3.2.2：
Relative Value / 2.3.3：
Equity Market Neutral / 2.3.3.1：
Convertible Arbitrage / 2.3.3.2：
Fixed Income Arbitrage / 2.3.3.3：
Capital Structure Arbitrage / 2.3.3.3.1：
Swap-Spread Arbitrage / 2.3.3.3.2：
Yield CurveArbitrage / 2.3.3.3.3：
Hedge Fund Data Sources / 3：
Hedge Fund Databases / 3.1：
Major Hedge Fund Indices / 3.2：
Non investable and Investable Indices / 3.2.1：
Dow Jones Credit Suisse Hedge Fund Indexes / 3.2.2：
Liquid Alternative Betas / 3.2.2.1：
Hedge Fund Research / 3.2.3：
Hedge Fund net / 3.2.4：
FTSE Hedge / 3.2.5：
FTSE Hedge Momentum Index / 3.2.5.1：
Greenwich Alternative Investments / 3.2.6：
GAI Investable Indices / 3.2.6.1：
Morningstar Alternative Investment Center / 3.2.7：
MSCI Hedge Fund Classification Standard / 3.2.7.1：
MSCI Investable Indices / 3.2.7.2：
EDHEC Risk and Asset Management Research Centre (www.edhec-risk.com) / 3.2.8：
Database and Index Biases / 3.3：
Survivorship Bias / 3.3.1：
Instant History Bias / 3.3.2：
Benchmarking / 3.4：
Tracking Error / 3.4.1：
Weighting Schemes / Appendix A：
Statistical Analysis / 4：
Basic Performance Plots / 4.1：
Value Added Monthly Index / 4.1.1：
Histograms / 4.1.2：
Probability Distributions / 4.2：
Populations and Samples / 4.2.1：
Probability Density Function / 4.3：
Cumulative Distribution Function / 4.4：
The Normal Distribution / 4.5：
Standard Normal Distribution / 4.5.1：
Visual Tests for Normality / 4.6：
Inspection / 4.6.1：
Normal Q-Q Plot / 4.6.2：
Moments of a Distribution / 4.7：
Mean and Standard Deviation / 4.7.1：
Skewness / 4.7.2：
Excess Kurtosis / 4.7.3：
Data Analysis Tool: Descriptive Statistics / 4.7.4：
Geometric Brownian Motion / 4.8：
Uniform Random Numbers / 4.8.1：
Covariance and Correlation / 4.9：
Regression Analysis / 4.10：
Ordinary Least Squares / 4.10.1：
Coefficient of Determination / 4.10.1.1：
Residual Plots / 4.10.1.2：
Jarque-Bera Normality Test / 4.10.1.3：
Data Analysis Tool: Regression / 4.10.1.4：
Portfolio Theory / 4.11：
Mean Variance Analysis / 4.11.1：
Solver: Portfolio Optimisation / 4.11.2：
Efficient Portfolios / 4.11.3：
Risk-Adjusted Return Metrics / 5：
The Intuition behind Risk Adjusted Returns / 5.1：
Risk Adjusted Returns / 5.1.1：
Common Risk Adjusted Performance Ratios / 5.2：
The Sharpe Ratio / 5.2.1：
The Modified Sharpe Ratio / 5.2.2：
The Sortino Ratio / 5.2.3：
The Drawdown Ratio / 5.2.4：
Common Performance Measures in the Presence of a Market Benchmark / 5.3：
The Information Ratio / 5.3.1：
The M Squared Metric / 5.3.2：
The Treynor Ratio / 5.3.3：
Jensen's Alpha / 5.3.4：
The Omega Ratio / 5.4：
Asset Pricing Models / 6：
The Risk Adjusted Two Moment Capital Asset Pricing Model / 6.1：
Interpreting H / 6.1.1：
Static Alpha Analysis / 6.1.2：
Dynamic Rolling Alpha Analysis / 6.1.3：
Multi factor Models / 6.2：
The Choice of Factors / 6.3：
A Multi Factor Framework for a Risk Adjusted Hedge Fund Alpha League Table / 6.3.1：
Alpha and Beta Separation / 6.3.2：
Dynamic Style Based Return Analysis / 6.4：
The Markowitz Risk Adjusted Evaluation Method / 6.5：
Hedge Fund Market Risk Management / 7：
Value at Risk / 7.1：
Traditional Measures / 7.2：
Historical Simulation / 7.2.1：
Parametric Method / 7.2.2：
Monte Carlo Simulation / 7.2.3：
Modified Var / 7.3：
Expected Shortfall / 7.4：
Extreme Value Theory / 7.5：
Block Maxima / 7.5.1：
Peaks over Threshold / 7.5.2：
References
Important Legal Information
Index
Preface
The Hedge Fund Industry / 1：
What Are Hedge Funds? / 1.1：
78.
図書
Nobuyasu Kanekawa ... [et al.]
出版情報:
New York : Springer, c2011 xxv, 204 p. ; 25 cm
子書誌情報:
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Introduction / 1：
Trends in Failure Cause and Countermeasure / 1.1：
Contents and Organization of This Book / 1.2：
For the Best Result / 1.3：
References
Terrestrial Neutron-Induced Failures in Semiconductor Devices and Relevant Systems and Their Mitigation Techniques / 2：
SER in Memory Devices / 2.1：
MCU in Memory Devices / 2.1.2：
SET and MNU in Logic Devices / 2.1.3：
Chip/System-Level SER Problem: SER Estimation and Mitigation / 2.1.4：
Scope of This Chapter / 2.1.5：
Basic Knowledge on Terrestrial Neutron-Induced Soft-Error in MOSFET Devices / 2.2：
Cosmic Rays from the Outer Space / 2.2.1：
Nuclear Spallation Reaction and Charge Collection in CMOSFET Device / 2.2.2：
Experimental Techniques to Quantify Soft-Error Rate (SER) and Their Standardization / 2.3：
The System to Quantify SER - SECIS / 2.3.1：
Basic Method in JESD89A / 2.3.2：
SEE Classification Techniques in Time Domain / 2.3.3：
MCU Classification Techniques in Topological Space Domain / 2.3.4：
Evolution of Multi-node Upset Problem / 2.4：
MCU Characterization by Accelerator-Based Experiments / 2.4.1：
Multi-coupled Bipolar Interaction (MCBI) / 2.4.2：
Simulation Techniques for Neutron-Induced Soft Error / 2.5：
Overall Microscopic Soft-Error Model / 2.5.1：
Nuclear Spallation Reaction Models / 2.5.2：
Charge Deposition Model / 2.5.3：
SRAM Device Model / 2.5.4：
Cell Matrix Model / 2.5.5：
Recycle Simulation Method / 2.5.6：
Validation of SRAM Model / 2.5.7：
Prediction for Scaling Effects Down to 22 nm Design Rule in SRAMs / 2.6：
Roadmap Assumption / 2.6.1：
Results and Discussions / 2.6.2：
Validity of Simulated Results / 2.6.3：
SER Estimation in Devices/Components/System / 2.7：
Standards for SER Measurement for Memories / 2.7.1：
Revisions Needed for the Standards / 2.7.2：
Quantification of SER in Logic Devices and Related Issues / 2.7.3：
An Example of Chip/Board-Level SER Measurement and Architectural Mitigation Techniques / 2.8：
SER Test Procedures for Network Components / 2.8.1：
Hierarchical Mitigation Strategies / 2.8.2：
Basic Three Approaches / 2.9.1：
Design on the Upper Bound (DOUB) / 2.9.2：
Inter Layer Built-in Reliability (LABIR) / 2.10：
Summary / 2.11：
Electromagnetic Compatibility / 3：
Quantitative Estimation of the EMI Radiation Based on the Measured Near-Field Magnetic Distribution / 3.1：
Measurement of the Magnetic Field Distribution Near the Circuit Board / 3.2.1：
Calculation of the Electric Current Distribution on the Circuit Board / 3.2.2：
Calculation of the Far-Field Radiated EMI / 3.2.3：
Development of a Non-contact Current Distribution Measurement Technique for LSI Packaging on PCBs / 3.3：
Electric Current Distribution Detection / 3.3.1：
The Current Detection Result and Its Verification / 3.3.2：
Reduction Technique of Radiated Emission from Chassis with PCB / 3.4：
Far-Field Measurement of Chassis with PCB / 3.4.1：
Measurements of Junction Current / 3.4.2：
PSPICE Modeling / 3.4.3：
Experimental Validation / 3.4.4：
Chapter Summary / 3.5：
Power Integrity / 4：
Detrimental Effect and Technical Trends of Power Integrity Design of Electronic Systems and Devices / 4.1：
Detrimental Effect by Power Supply Noise on Semiconducting Devices / 4.2.1：
Trends of Power Supply Voltage and Power Supply Current for CMOS Semiconducting Devices / 4.2.2：
Trend of Power Distribution Network Design for Electronic Systems / 4.2.3：
Design Methodology of Power Integrity / 4.3：
Definition of Power Supply Noise in Electric System / 4.3.1：
Time-Domain and Frequency-Domain Design Methodology / 4.3.2：
Modeling and Design Methodologies of PDS / 4.4：
Modeling of Electrical Circuit Parameters / 4.4.1：
Design Strategies of PDS / 4.4.2：
Simultaneous Switching Noise (SSN) / 4.5：
Principle of SSN / 4.5.1：
S-G loop SSN / 4.5.2：
P-G loop SSN / 4.5.3：
Measurement of Power Distribution System Performance / 4.6：
On-Chip Voltage Waveform Measurement / 4.6.1：
On-Chip Power Supply Impedance Measurement / 4.6.2：
Fault-Tolerant System Technology / 4.7：
Metrics for Dependability / 5.1：
Reliability / 5.2.1：
Availability / 5.2.2：
Safety / 5.2.3：
Reliability Paradox / 5.3：
Survey on Fault-Tolerant Systems / 5.4：
Technical Issues / 5.5：
High Performance / 5.5.1：
Transparency / 5.5.2：
Physical Transparency / 5.5.3：
Fault Tolerance of Fault Tolerance for Ultimate Safety / 5.5.4：
Reliability of Software / 5.5.5：
Industrial Approach / 5.6：
Autonomous Decentralized Systems / 5.6.1：
Space Application / 5.6.2：
Commercial Fault-Tolerant Systems / 5.6.3：
Ultra-Safe System / 5.6.4：
Availability Improvement vs. Coverage Improvement / 5.7：
Trade-Off Between Availability and Coverage - Stepwise Negotiating Voting / 5.8：
Basic Concept / 5.8.1：
Hiten Onboard Computer / 5.8.2：
Fault-Tolerance Experiments / 5.8.3：
Extension of SNV - Redundancy Management / 5.8.4：
Coverage Improvement / 5.9：
Self-Checking Comparator / 5.9.1：
Optimal Time Diversity / 5.9.2：
On-Chip Redundancy / 5.10：
High Performance (Commercial Fault-Tolerant Computer) / 5.11：
Basic Concepts of TPR Architecture / 5.11.1：
System Configuration / 5.11.2：
System Reconfiguration on Fault Occurrence / 5.11.3：
Processing Take-Over on Fault Occurrence / 5.11.4：
Fault Tolerance of Fault Tolerance / 5.11.5：
Commercial Product Model / 5.11.6：
Current Application Field: X-by-Wire / 5.12：
Challenges in the Future / 6：
Index
Introduction / 1：
Trends in Failure Cause and Countermeasure / 1.1：
Contents and Organization of This Book / 1.2：
79.
ＥＢ
Lev Mikhailovich Blinov
出版情報:
SpringerLink Books - AutoHoldings , Springer Netherlands, 2011
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Introductory Notes / 1：
References
Structure of Liquid Crystals / Part I：
Symmetry / 2：
Point Group Symmetry / 2.1：
Symmetry Elements and Operations / 2.1.1：
Groups / 2.1.2：
Point Groups / 2.1.3：
Continuous Point Groups / 2.1.4：
Translational Symmetry / 2.2：
Mesogenic Molecules and Orientational Order / 3：
Molecular Shape and Properties / 3.1：
Shape, Conformational Mobility and Isomerization / 3.1.1：
Symmetry and Chirality / 3.1.2：
Electric and Magnetic Properties / 3.1.3：
Intermolecular Interactions / 3.2：
Orientational Distribution Functions for Molecules / 3.3：
Molecules with Axial Symmetry / 3.3.1：
Lath-Like Molecules / 3.3.2：
Principal Orientational Order Parameter (Microscopic Approach) / 3.4：
Macroscopic Definition of the Orientational Order Parameter / 3.5：
Tensor Properties / 3.5.1：
Uniaxial Order / 3.5.2：
Microscopic Biaxiality / 3.5.3：
Apparent Order Parameters for Flexible Chains / 3.6：
Liquid Crystal Phases / 4：
Polymorphism Studies / 4.1：
Polarized Light Microscopy / 4.1.1：
Differential Scanning and Adiabatic Calorimetry (DSC and AC) / 4.1.2：
X-Ray Analysis / 4.1.3：
Main Calamitic Phases / 4.2：
Nematic Phase / 4.2.1：
Classical Smectic A Phase / 4.2.2：
Special SmA Phases / 4.2.3：
Smectic C Phase / 4.2.4：
Smectic B / 4.2.5：
Discotic, Bowl-Type and Polyphilic Phases / 4.3：
Role of Polymerization / 4.4：
Lyotropic Phases / 4.5：
General Remarks on the Role of Chirality / 4.6：
Cholesterics / 4.7：
Intermolecular Potential / 4.7.1：
Cholesteric Helix and Tensor of Orientational Order / 4.7.2：
Tensor of Dielectric Anisotropy / 4.7.3：
Grandjean Texture / 4.7.4：
Methods of the Pitch Measurements / 4.7.5：
Blue Phases / 4.8：
Smectic C* Phase / 4.9：
Symmetry, Polarization and Ferroelectricity / 4.9.1：
Helical Structure / 4.9.2：
Chiral Smectic A* / 4.10：
Uniform Smectic A* / 4.10.1：
TGB Phase / 4.10.2：
Spontaneous Break of Mirror Symmetry / 4.11：
Structure Analysis and X-Ray Diffraction / 5：
Diffraction Studies and X-Ray Experiment / 5.1：
General Consideration / 5.1.1：
X-Ray Experiment / 5.1.2：
X-Ray Scattering / 5.2：
Scattering by a Single Electron / 5.2.1：
Scattering by Two Material Points / 5.2.2：
Scattering by a Stack of Planes (Bragg Diffraction) / 5.2.3：
Amplitude of Scattering for a System of Material Points / 5.2.4：
Scattering Amplitude for an Atom / 5.2.5：
Diffraction on a Periodic Structure / 5.3：
Reciprocal Lattice / 5.3.1：
Intensity of Scattering / 5.3.2：
Form Factor and Structure Factor / 5.3.3：
Fourier Transforms and Diffraction / 5.4：
Principle / 5.4.1：
Example: Form Factor of a Parallelepiped / 5.4.2：
Convolution of Two Functions / 5.4.3：
Self-Convolution / 5.4.4：
X-Ray Diffraction by Crystals / 5.5：
Density Function and Structure Factor for Crystals / 5.5.1：
A Crystal of a Finite Size / 5.5.2：
Structure of the Isotropic and Nematic Phase / 5.6：
Isotropic Liquid / 5.6.1：
Diffraction by Smectic Phases / 5.6.2：
Smectic A / 5.7.1：
Landau-Peierls Instability / 5.7.2：
"Bond" Orientational Order in a Single Smectic Layer and Hexatic Phase / 5.7.3：
Three-Dimensional Smectic Phases / 5.7.4：
Phase Transitions / 6：
Landau Approach / 6.1：
Isotropic Liquid-Nematic Transition / 6.2：
Landau-De Gennes Equation / 6.2.1：
Temperature Dependence of the Nematic Order Parameter / 6.2.2：
Free Energy / 6.2.3：
Physical Properties in the Vicinity of the N-Iso Transition / 6.2.4：
Nematic-Smectic A Transition / 6.3：
Order Parameter / 6.3.1：
Free Energy Expansion / 6.3.2：
Weak First Order Transition / 6.3.3：
Re-entrant Phases / 6.3.4：
Smectic A-Smectic C Transition / 6.4：
Landau Expansion / 6.4.1：
Influence of External Fields / 6.4.2：
Dynamics of Order Parameter / 6.5：
Landau-Khalatnikov Approach / 6.5.1：
Relaxation Rate / 6.5.2：
Molecular Statistic Approach to Phase Transitions / 6.6：
Entropy, Partition Function and Free Energy / 6.6.1：
Equations of State for Gas and Liquid / 6.6.2：
Nematic-Isotropic Transition (Molecular Approach) / 6.7：
Interaction Potential and Partition Function / 6.7.1：
Onsager's Results / 6.7.2：
Mean Field Approach for the Nematic Phase / 6.7.3：
Physical Properties / Part II：
Magnetic, Electric and Transport Properties / 7：
Magnetic Phenomena / 7.1：
Magnetic Anisotropy / 7.1.1：
Diamagnetism / 7.1.2：
Paramagnetism and Ferromagnetism / 7.1.3：
Dielectric Properties / 7.2：
Permittivity of Isotropic Liquids / 7.2.1：
Static Dielectric Anisotropy of Nematics and Smectics / 7.2.2：
Dipole Dynamics of an Isotropic Liquid / 7.2.3：
Transport Properties / 7.2.4：
Thermal Conductivity / 7.3.1：
Diffusion / 7.3.2：
Electric Conductivity / 7.3.3：
Elasticity and Defects / 8：
Tensor of Elasticity / 8.1：
Hooke's Law / 8.1.1：
Stress, Strain and Elasticity Tensors / 8.1.2：
Elasticity of Nematics and Cholesterics / 8.2：
Elementary Distortions / 8.2.1：
Frank Energy / 8.2.2：
Cholesterics and Polar Nematics / 8.2.3：
Variational Problem and Elastic Torques / 8.3：
Euler Equation / 8.3.1：
Application to a Twist Cell / 8.3.2：
"Molecular Field" and Torques / 8.3.3：
Director Fluctuations / 8.3.4：
Defects in Nematics and Cholesterics / 8.4：
Nematic Texture and Volterra Process / 8.4.1：
Linear Singularities in Nematics / 8.4.2：
Point Singularities and Walls / 8.4.3：
Defects in Cholesterics / 8.4.4：
Smectic Phases / 8.5：
Elasticity of Smectic A / 8.5.1：
Peierls Instability of the SmA Structure / 8.5.2：
Defects in Smectic A / 8.5.3：
Smectic C Elasticity and Defects / 8.5.4：
Elements of Hydrodynamics / 9：
Hydrodynamic Variables / 9.1：
Hydrodynamics of an Isotropic Liquid / 9.2：
Conservation of Mass Density / 9.2.1：
Conservation of Momentum Density / 9.2.2：
Navier-Stokes Equation / 9.2.3：
Viscosity of Nematics / 9.3：
Basic Equations / 9.3.1：
Measurements of Leslie coefficients / 9.3.2：
Flow in Cholesterics and Smectics / 9.4：
Smectic A Phase / 9.4.1：
Reference
Liquid Crystal - Solid Interface / 10：
General Properties / 10.1：
Surface Properties of a Liquid / 10.1.1：
Structure of Surface Layers / 10.1.3：
Surface Energy and Anchoring of Nematics / 10.2：
Easy Axis / 10.2.1：
Variational Problem / 10.2.2：
Surface Energy Forms / 10.2.3：
Extrapolation Length / 10.2.4：
Liquid Crystal Alignment / 10.3：
Cells / 10.3.1：
Alignment / 10.3.2：
Berreman Model / 10.3.3：
Electro-Optics / Part III：
Optics and Electric Field Effects in Nematic and Smectic A Liquid Crystals / 11：
Optical Properties of Uniaxial Phases / 11.1：
Dielectric Ellipsoid, Birefringence and Light Transmission / 11.1.1：
Light Absorption and Linear Dichroism / 11.1.2：
Light Scattering in Nematics and Smectic A / 11.1.3：
Frederiks Transition and Related Phenomena / 11.2：
Field Free Energy and Torques / 11.2.1：
Experiments on Field Alignment of a Nematic / 11.2.2：
Theory of Frederiks Transition / 11.2.3：
Generalizations of the Simplest Model / 11.2.4：
Dynamics of Frederiks Transition / 11.2.5：
Backflow Effect / 11.2.6：
Electrooptical Response / 11.2.7：
Flexoelectricity / 11.3：
Flexoelectric Polarization / 11.3.1：
Converse Flexoelectric Effect / 11.3.2：
Flexoelectric Domains / 11.3.3：
Electrohydrodynamic Instability / 11.4：
The Reasons for Instabilities / 11.4.1：
Carr-Helfrich Mode / 11.4.2：
Electro-Optical Effects in Cholesteric Phase / 12：
Cholesteric as One-Dimensional Photonic Crystal / 12.1：
Bragg Reflection / 12.1.1：
Waves in Layered Medium and Photonic Crystals / 12.1.2：
Simple Analytical Solution for Light Incident Parallel to the Helical Axis / 12.1.3：
Other Important Cases / 12.1.4：
Dielectric Instability of Cholesterics / 12.2：
Untwisting of the Cholesteric Helix / 12.2.1：
Field Induced Anharmonicity and Dynamics of the Helix / 12.2.2：
Instability of the Planar Cholesteric Texture / 12.2.3：
Bistability and Memory / 12.3：
Naive Idea / 12.3.1：
Berreman-Heffner Model / 12.3.2：
Bistability and Field-Induced Break of Anchoring / 12.3.3：
Flexoelectricity in Cholesterics / 12.4：
Ferroelectricity and Antiferroelectricity in Smectics / 13：
Ferroelectrics / 13.1：
Crystalline Pyro-, Piezo- and Ferroelectrics / 13.1.1：
Ferroelectric Cells with Non-ferroelectric Liquid Crystal / 13.1.2：
Phase Transition SmA*-SmC* / 13.1.3：
Electro-Optic Effects in Ferroelectric Cells / 13.1.4：
Criteria for Bistability and Hysteresis-Free Switching / 13.1.5：
Introduction to Antiferroelectrics / 13.2：
Background: Crystalline Antiferroelectrics and Ferrielectrics / 13.2.1：
Chiral Liquid Crystalline Antiferroelectrics / 13.2.2：
Polar Achiral Systems / 13.2.3：
Index
Introductory Notes / 1：
References
Structure of Liquid Crystals / Part I：
80.
ＥＢ
Zhening Li, Simai He
出版情報:
SpringerLink Books - AutoHoldings , Dordrecht : Springer New York, 2012
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Introduction / 1：
History / 1.1：
Applications / 1.1.1：
Algorithms / 1.1.2：
Contributions / 1.2：
Notations and Models / 1.3：
Objective Functions / 1.3.1：
Constraint Sets / 1.3.2：
Models and Organization / 1.3.3：
Preliminary / 1.4：
Tensor Operations / 1.4.1：
Approximation Algorithms / 1.4.2：
Randomized Algorithms / 1.4.3：
Semidefinite Programming Relaxation and Randomization / 1.4.4：
Polynomial Optimization Over the Euclidean Ball / 2：
Multilinear Form / 2.1：
Computational Complexity / 2.1.1：
Cubic Case / 2.1.2：
General Fixed Degree / 2.1.3：
Homogeneous Form / 2.2：
Link Between Multilinear Form and Homogeneous Form / 2.2.1：
The Odd Degree Case / 2.2.2：
The Even Degree Case / 2.2.3：
Mixed Form / 2.3：
Complexity and a Step-by-Step Adjustment / 2.3.1：
Extended Link Between Multilinear Form and Mixed Form / 2.3.2：
Inhomogeneous Polynomial / 2.4：
Homogenization / 2.4.1：
Multilinear Form Relaxation / 2.4.2：
Adjusting the Homogenizing Components / 2.4.3：
Feasible Solution Assembling / 2.4.4：
Extensions of the Constraint Sets / 3：
Hypercube and Binary Hypercube / 3.1：
Hypercube / 3.1.1：
The Euclidean Sphere / 3.2：
Intersection of Co-centered Ellipsoids / 3.3：
Convex Compact Set / 3.3.1：
Mixture of Binary Hypercube and the Euclidean Sphere / 3.5：
Homogeneous Polynomial Optimization Over the Euclidean Sphere / 3.5.1：
Singular Values of Trilinear Forms / 4.1.1：
Rank-One Approximation of Tensors / 4.1.2：
Eigenvalues and Approximation of Tensors / 4.1.3：
Density Approximation in Quantum Physics / 4.1.4：
Inhomogeneous Polynomial Optimization Over a General Set / 4.2：
Portfolio Selection with Higher Moments / 4.2.1：
Sensor Network Localization / 4.2.2：
Discrete Polynomial Optimization / 4.3：
The Cut-Norm of Tensors / 4.3.1：
Maximum Complete Satisfiability / 4.3.2：
Box-Constrained Diophantine Equation / 4.3.3：
Mixed Integer Programming / 4.4：
Matrix Combinatorial Problem / 4.4.1：
Vector-Valued Maximum Cut / 4.4.2：
Concluding Remarks / 5：
References
Introduction / 1：
History / 1.1：
Applications / 1.1.1：
81.
図書
Richard J. Brown
出版情報:
Oxford : Oxford University Press, 2018 xvi, 408 p. ; 24 cm
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What Is a Dynamical System? / 1：
Definitions / 1.1：
Ordinary Differential Equations (ODEs) / 1.1.1：
Maps / 1.1.2：
Symbolic Dynamics / 1.1.3：
Billiards / 1.1.4：
Higher-Order Recursions / 1.1.5：
The Viewpoint / 1.2：
Simple Dynamics / 2：
Preliminaries / 2.1：
A Simple System / 2.1.1：
The Time-t Map / 2.1.2：
Metrics on Sets / 2.1.3：
Lipschitz Continuity / 2.1.4：
The Contraction Principle / 2.2：
Contractions on Intervals / 2.2.1：
Contractions in Several Variables / 2.2.2：
Application: The Newton-Raphson Method / 2.2.3：
Application: Existence and Uniqueness of ODE Solutions / 2.2.4：
Application: Heron of Alexandria / 2.2.5：
Interval Maps / 2.3：
Cobwebbing / 2.3.1：
Fixed-Point Stability / 2.3.2：
Monotonic Maps / 2.3.3：
Homochnic/Heteroclinic Points / 2.3.4：
Bifurcations of Interval Maps / 2.4：
Saddle-Node Bifurcation / 2.4.1：
Transcritical Bifurcation / 2.4.2：
Pitchfork Bifurcation / 2.4.3：
First Return Maps / 2.5：
A Quadratic Interval Map; The Logistic Map / 2.6：
The Objects of Dynamics / 3：
Topology on Sets / 3.1：
More on Metrics / 3.2：
More on Lipschitz Continuity / 3.2.1：
Metric Equivalence / 3.2.2：
Fixed-Point Theorems / 3.2.3：
Some Non-Euclidean Metric Spaces / 3.3：
The n-Sphere / 3.3.1：
The Unit Circle / 3.3.2：
The Cylinder / 3.3.3：
The 2-Torus / 3.3.4：
A Cantor Set / 3.4：
The Koch Curve / 3.4.1：
Sierpinski Carpet / 3.4.2：
The Sponges / 3.4.3：
Flows and Maps of Euclidean Space / 4：
Linear, First-order ODE Systems in the Plane / 4.1：
General Homogeneous, Linear Systems in Euclidean Space / 4.1.1：
Autonomous Linear Systems / 4.1.2：
The Matrix Exponential / 4.1.3：
Two-Dimensional Classification / 4.1.4：
Bifurcations in Linear Planar Systems / 4.2：
Linearized Poincaré-Andronov-Hopf Bifurcation / 4.2.1：
Linear Planar Maps / 4.2.2：
Nodes: Sinks and Sources / 4.3.1：
Star or Proper Nodes / 4.3.2：
Degenerate or Improper Nodes / 4.3.3：
Spirals and Centers / 4.3.4：
Saddle Points / 4.3.5：
Linear Flows versus Linear Maps / 4.4：
Local Linearization and Stability of Equilibria / 4.5：
Isolated Periodic Orbit Stability / 4.6：
The Poincaré-Bendixson Theorem / 4.6.1：
Limit Sets of Flows / 4.6.2：
Flows in the Plane / 4.6.3：
Application: The van der Pol Oscillator / 4.6.4：
The Poincaré-Andronov-Hopf Bifurcation / 4.6.5：
Application: Competing Species / 4.7：
The Fixed Points / 4.7.1：
Type and Stability / 4.7.2：
Recurrence / 5：
Rotations of the circle / 5.1：
Continued Fraction Representation / 5.1.1：
Equidistribution and Weyl's Theorem / 5.2：
Application: Periodic Function Reconstruction via Sampling / 5.2.1：
Linear Flows on the Torus / 5.3：
Application: Lissajous Figures / 5.3.1：
Application: A Polygonal Billiard / 5.3.2：
Toral Translations / 5.4：
Invertible Circle Maps / 5.5：
Phase Volume Preservation / 6：
In compressibility / 6.1：
Newtonian Systems of Classical Mechanics / 6.2：
Generating Flows from Functions: Lagrange / 6.2.1：
Generating Flows from Functions: Hamilton / 6.2.2：
Exact Differential Equations / 6.2.3：
Application: The Planar Pendulum / 6.2.4：
First Integrals / 6.2.5：
Application: The Spherical Pendulum / 6.2.6：
Poincaré Recurrence / 6.3：
Non-Wandering Points / 6.3.1：
The Poincaré Recurrence Theorem / 6.3.2：
Circular Billiards / 6.4：
Elliptic Billiards / 6.4.2：
General Convex Billiards / 6.4.3：
Poincaré's Last Geometric Theorem / 6.4.4：
Application: Pitcher Problems / 6.4.5：
Complicated Orbit Structure / 7：
Counting Periodic Orbits / 7.1：
The Quadratic Map: Beyond 4 / 7.1.1：
Hyperbolic Toral Automorphisms / 7.1.2：
Application: Image Restoration / 7.1.3：
Inverse Limit Spaces / 7.1.4：
Shift Spaces / 7.1.5：
Markov Partitions / 7.1.6：
Application: The Baker's Transformation / 7.1.7：
Two-Dimensional Markov Partitions: Arnol'd's Cat Map / 7.2：
Chaos and Mixing / 7.3：
Sensitive Dependence on Initial Conditions / 7.4：
Quadratic Maps: The Final interval / 7.5：
Period-Doubling Bifurcation / 7.5.1：
Trie Schwarzian Derivative / 7.5.2：
Sharkovskii's Theorem / 7.5.3：
Two More Examples of Complicated Dynamical Systems / 7.6：
Complex Dynamics / 7.6.1：
Smale Horseshoe / 7.6.2：
Dynamical Invariants / 8：
Topological Conjugacy / 8.1：
Conjugate Maps / 8.1.1：
Conjugate Hows / 8.1.2：
Conjugacy as Classification / 8.1.3：
Topological Entropy / 8.2：
Lyapunov Exponents / 8.2.1：
Capacity / 8.2.2：
Box Dimension / 8.2.3：
Bowen-Dinaburg (Metric) Topological Entropy / 8.2.4：
Bibliography
Index
What Is a Dynamical System? / 1：
Definitions / 1.1：
Ordinary Differential Equations (ODEs) / 1.1.1：
82.
ＥＢ
Siegfried Carl, Seppo Heikkilä
出版情報:
SpringerLink Books - AutoHoldings , Springer New York, 2011
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Preface
Introduction / 1：
Fundamental Order-Theoretic Principles / 2：
Recursions and Iterations in Posets / 2.1：
Fixed Point Results in Posets / 2.2：
Fixed Points for Set-Valued Functions / 2.2.1：
Fixed Points for Single-Valued Functions / 2.2.2：
Comparison and Existence Results / 2.2.3：
Algorithmic Methods / 2.2.4：
Solvability of Operator Equations and Inclusions / 2.3：
Inclusion Problems / 2.3.1：
Single-Valued Problems / 2.3.2：
Special Cases / 2.4：
Fixed Point Results in Ordered Topological Spaces / 2.4.1：
Equations and Inclusions in Ordered Normed Spaces / 2.4.2：
Fixed Point Results for Maximalizing Functions / 2.5：
Preliminaries / 2.5.1：
Main Results / 2.5.2：
Examples and Remarks / 2.5.3：
Notes and Comments / 2.6：
Multi-Valued Variational Inequalities / 3：
Introductory Example / 3.1：
Multi-Valued Elliptic Variational Inequalities / 3.2：
The Sub-Supersolution Method / 3.2.1：
Directedness of Solution Set / 3.2.2：
Extremal Solutions / 3.2.3：
Equivalence to Variational-Hemivariational Inequality / 3.2.4：
Multi-Valued Parabolic Variational Inequalities / 3.3：
Notion of Sub-Supersolution / 3.3.1：
Multi-Valued Parabolic Equation / 3.3.2：
Parabolic Variational Inequality / 3.3.3：
Discontinuous Multi-Valued Elliptic Problems / 3.4：
Nonlocal and Discontinuous Elliptic Inclusions / 4.1：
Hypotheses, Main Result, and Preliminaries / 4.1.1：
Proof of Theorem 4.1 / 4.1.2：
Application: Difference of Clarke's Gradient and Subdifferential / 4.1.3：
State-Dependent Clarke's Gradient Inclusion / 4.2：
Statement of the Problem / 4.2.1：
Notions, Hypotheses, and Preliminaries / 4.2.2：
Existence and Comparison Result / 4.2.3：
Application: Multiplicity Results / 4.2.4：
Discontinuous Elliptic Problems via Fixed Points for Multifunctions / 4.3：
Abstract Fixed Point Theorems for Multi-Functions / 4.3.1：
Discontinuous Elliptic Functional Equations / 4.3.2：
Implicit Discontinuous Elliptic Functional Equations / 4.3.3：
Discontinuous Multi-Valued Evolutionary Problems / 4.4：
Discontinuous Parabolic Inclusions with Clarke's Gradient / 5.1：
Implicit Functional Evolution Equations / 5.2：
Main Result / 5.2.1：
Generalization and Special Cases / 5.2.3：
Application / 5.2.4：
Banach-Valued Ordinary Differential Equations / 5.3：
Cauchy Problems / 6.1：
A Uniqueness Theorem of Nagumo Type / 6.1.1：
Existence Results / 6.1.3：
Existence and Uniqueness Results / 6.1.4：
Dependence on the Initial Value / 6.1.5：
Well-Posedness of a Semilinear Cauchy Problem / 6.1.6：
Nonlocal Semilinear Differential Equations / 6.2：
Existence and Comparison Results / 6.2.1：
Applications to Multipoint Initial Value Problems / 6.2.2：
Higher Order Differential Equations / 6.3：
Well-Posedness Results / 6.3.1：
Semilinear Problem / 6.3.2：
Singular Differential Equations / 6.3.3：
First Order Explicit Initial Value Problems / 6.4.1：
First Order Implicit Initial Value Problems / 6.4.2：
Second Order Initial Value Problems / 6.4.3：
Second Order Boundary Value Problems / 6.4.4：
Functional Differential Equations Containing Bochner Integrable Functions / 6.5：
Hypotheses and Preliminaries / 6.5.1：
Banach-Valued Integral Equations / 6.5.2：
Integral Equations in HL-Spaces / 7.1：
Fredholm Integral Equations / 7.1.1：
Volterra Integral Equations / 7.1.2：
Application to Impulsive IVP / 7.1.3：
A Volterra Equation Containing HL Integrable Functions / 7.1.4：
Urysohn Equations / 7.2：
Evolution Equations / 7.2.3：
Existence and Uniqueness Result / 7.3.1：
Application to a Cauchy Problem / 7.3.3：
Extremal Solutions of Evolution Equations / 7.3.6：
Evolution Equations Containing Bochner Integrable Functions / 7.3.7：
Game Theory / 7.3.8：
Pure Nash Equilibria for Finite Simple Normal-Form Games / 8.1：
An Application to a Pricing Game / 8.1.1：
Pure and Mixed Nash Equilibria for Finite Normal-Form Games / 8.2：
Existence Result for the Greatest Nash Equilibrium / 8.2.1：
Comparison Result for Utilities / 8.2.3：
Dual Results / 8.2.4：
Applications to Finite Supermodular Games / 8.2.5：
Application to a Multiproduct Pricing Game / 8.2.6：
Pure Nash Equilibria for Normal-Form Games / 8.3：
Extreme Value Results / 8.3.1：
Smallest and Greatest Pure Nash Equilibria / 8.3.2：
Applications to a Multiproduct Pricing Game / 8.3.3：
Minimal and Maximal Pure Nash Equilibria / 8.3.5：
Pure and Mixed Nash Equilibria of Normal-Form Games / 8.4：
Definitions and Auxiliary Results / 8.4.1：
Applications to Supermodular Games / 8.4.2：
Undominated and Weakly Dominating Strategies and Weakly Dominating Pure Nash Equilibria for Normal-Form Games / 8.5：
Existence of Undominated Strategies / 8.5.1：
Existence of Weakly Dominating Strategies and Pure Nash Equilibria / 8.5.2：
Examples / 8.5.3：
Pursuit and Evasion Game / 8.6：
Winning Strategy / 8.6.1：
Applications and Special Cases / 8.6.3：
Appendix / 8.7：
Analysis of Vector-Valued Functions / 9.1：
µ-Measurability and µ-Integrability of Banach-Valued Functions / 9.1.1：
HL Integrability / 9.1.2：
Integrals of Derivatives of Vector-Valued Functions / 9.1.3：
Convergence Theorems for HL Integrable Functions / 9.1.4：
Ordered Normed Spaces of HL Integrable Functions / 9.1.5：
Chains in Ordered Function Spaces / 9.2：
Chains of Locally Bochner Integrable Functions / 9.2.1：
Chains of HL Integrable and Locally HL Integrable Functions / 9.2.3：
Chains of Continuous Functions / 9.2.4：
Chains of Random Variables / 9.2.5：
Properties of Order Intervals and Balls in Ordered Function Spaces / 9.2.6：
Sobolev Spaces / 9.3：
Definition of Sobolev Spaces / 9.3.1：
Chain Rule and Lattice Structure / 9.3.2：
Operators of Monotone Type / 9.4：
Main Theorem on Pseudomonotone Operators / 9.4.1：
Leray-Lions Operators / 9.4.2：
Multi-Valued Pseudomonotone Operators / 9.4.3：
First Order Evolution Equations / 9.5：
Evolution Triple and Generalized Derivative / 9.5.1：
Existence Results for Evolution Equations / 9.5.2：
Calculus of Clarke's Generalized Gradient / 9.6：
List of Symbols
References
Index
Preface
Introduction / 1：
Fundamental Order-Theoretic Principles / 2：
83.
ＥＢ
Carmit Hazay, Yehuda Lindell
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2010
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Introduction and Definitions / Part I：
Introduction / 1：
Secure Multiparty Computation - Background / 1.1：
The GMW Protocol for Secure Computation / 1.2：
A Roadmap to the Book / 1.3：
Part I - Introduction and Definitions / 1.3.1：
Part II - General Constructions / 1.3.2：
Part III - Specific Constructions / 1.3.3：
Definitions / 2：
Preliminaries / 2.1：
Security in the Presence of Semi-honest Adversaries / 2.2：
Security in the Presence of Malicious Adversaries / 2.3：
The Definition / 2.3.1：
Extension to Reactive Functionalities / 2.3.2：
Malicious Versus Semi-honest Adversaries / 2.3.3：
Security in the Presence of Covert Adversaries / 2.4：
Motivation / 2.4.1：
The Actual Definition / 2.4.2：
Cheating and Aborting / 2.4.3：
Relations Between Security Models / 2.4.4：
Restricted Versus General Functionalities / 2.5：
Deterministic Functionalities / 2.5.1：
Single-Output Functionalities / 2.5.2：
Non-reactive Functionalities / 2.5.3：
Non-simulation-Based Definitions / 2.6：
Privacy Only / 2.6.1：
One-Sided Simulatability / 2.6.2：
Sequential Composition - Simulation-Based Definitions / 2.7：
General Constructions / Part II：
Semi-honest Adversaries / 3：
An Overview of the Protocol / 3.1：
Tools / 3.2：
"Special" Private-Key Encryption / 3.2.1：
Oblivious Transfer / 3.2.2：
The Garbled-Circuit Construction / 3.3：
Yao's Two-Party Protocol / 3.4：
Efficiency of the Protocol / 3.5：
Malicious Adversaries / 4：
High-Level Protocol Description / 4.1：
Checks for Correctness and Consistency / 4.1.2：
The Protocol / 4.2：
Proof of Security / 4.3：
Efficient Implementation of the Different Primitives / 4.3.1：
Suggestions for Further Reading / 4.5：
Covert Adversaries / 5：
The Basic Protocol / 5.1：
Extensions / 5.1.2：
Secure Two-Party Computation / 5.2：
Overview of the Protocol / 5.2.1：
The Protocol for Two-Party Computation / 5.2.2：
Non-halting Detection Accuracy / 5.2.3：
Specific Constructions / 5.3：
Sigma Protocols and Efficient Zero-Knowledge / 6：
An Example / 6.1：
Definitions and Properties / 6.2：
Proofs of Knowledge / 6.3：
Proving Compound Statements / 6.4：
Zero-Knowledge from ?-Protocols / 6.5：
The Basic Zero-Knowledge Construction / 6.5.1：
Zero-Knowledge Proofs of Knowledge / 6.5.2：
The ZKPOK Ideal Functionality / 6.5.3：
Efficient Commitment Schemes from ?-Protocols / 6.6：
Summary / 6.7：
Oblivious Transfer and Applications / 7：
Notational Conventions for Protocols / 7.1：
Oblivious Transfer - Privacy Only / 7.2：
A Protocol Based on the DDH Assumption / 7.2.1：
A Protocol from Homomorphic Encryption / 7.2.2：
Oblivious Transfer - One-Sided Simulation / 7.3：
Oblivious Transfer - Full Simulation / 7.4：
1-out-of-2 Oblivious Transfer / 7.4.1：
Batch Oblivious Transfer / 7.4.2：
Another Oblivious Transfer - Full Simulation / 7.5：
Secure Pseudorandom Function Evaluation / 7.6：
Pseudorandom Function - Privacy Only / 7.6.1：
Pseudorandom Function - Full Simulation / 7.6.2：
Covert and One-Sided Simulation / 7.6.3：
Batch Pseudorandom Function Evaluation / 7.6.4：
The kth-Ranked Element / 8：
Background / 8.1：
A Protocol for Finding the Median / 8.1.1：
Reducing the kth-Ranked Element to the Median / 8.1.2：
Computing the Median - Semi-honest / 8.2：
Computing the Median - Malicious / 8.3：
The Reactive Greater-Than Functionality / 8.3.1：
Search Problems / 8.3.2：
Secure Database Search / 9.1：
Securely Realizing Basic Database Search / 9.2.1：
Securely Realizing Pull Database Search / 9.2.2：
Secure Document Search / 9.2.3：
Standard Smartcard Functionality and Security / 9.4：
Secure Text Search (Pattern Matching) / 9.4.2：
Indexed Implementation for Naor-Reingold / 9.5.1：
The Protocol for Secure Text Search / 9.5.2：
References
Index
Introduction and Definitions / Part I：
Introduction / 1：
Secure Multiparty Computation - Background / 1.1：
84.
ＥＢ
Carmit Hazay, Yehuda Lindell
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2010
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Introduction and Definitions / Part I：
Introduction / 1：
Secure Multiparty Computation - Background / 1.1：
The GMW Protocol for Secure Computation / 1.2：
A Roadmap to the Book / 1.3：
Part I - Introduction and Definitions / 1.3.1：
Part II - General Constructions / 1.3.2：
Part III - Specific Constructions / 1.3.3：
Definitions / 2：
Preliminaries / 2.1：
Security in the Presence of Semi-honest Adversaries / 2.2：
Security in the Presence of Malicious Adversaries / 2.3：
The Definition / 2.3.1：
Extension to Reactive Functionalities / 2.3.2：
Malicious Versus Semi-honest Adversaries / 2.3.3：
Security in the Presence of Covert Adversaries / 2.4：
Motivation / 2.4.1：
The Actual Definition / 2.4.2：
Cheating and Aborting / 2.4.3：
Relations Between Security Models / 2.4.4：
Restricted Versus General Functionalities / 2.5：
Deterministic Functionalities / 2.5.1：
Single-Output Functionalities / 2.5.2：
Non-reactive Functionalities / 2.5.3：
Non-simulation-Based Definitions / 2.6：
Privacy Only / 2.6.1：
One-Sided Simulatability / 2.6.2：
Sequential Composition - Simulation-Based Definitions / 2.7：
General Constructions / Part II：
Semi-honest Adversaries / 3：
An Overview of the Protocol / 3.1：
Tools / 3.2：
"Special" Private-Key Encryption / 3.2.1：
Oblivious Transfer / 3.2.2：
The Garbled-Circuit Construction / 3.3：
Yao's Two-Party Protocol / 3.4：
Efficiency of the Protocol / 3.5：
Malicious Adversaries / 4：
High-Level Protocol Description / 4.1：
Checks for Correctness and Consistency / 4.1.2：
The Protocol / 4.2：
Proof of Security / 4.3：
Efficient Implementation of the Different Primitives / 4.3.1：
Suggestions for Further Reading / 4.5：
Covert Adversaries / 5：
The Basic Protocol / 5.1：
Extensions / 5.1.2：
Secure Two-Party Computation / 5.2：
Overview of the Protocol / 5.2.1：
The Protocol for Two-Party Computation / 5.2.2：
Non-halting Detection Accuracy / 5.2.3：
Specific Constructions / 5.3：
Sigma Protocols and Efficient Zero-Knowledge / 6：
An Example / 6.1：
Definitions and Properties / 6.2：
Proofs of Knowledge / 6.3：
Proving Compound Statements / 6.4：
Zero-Knowledge from ?-Protocols / 6.5：
The Basic Zero-Knowledge Construction / 6.5.1：
Zero-Knowledge Proofs of Knowledge / 6.5.2：
The ZKPOK Ideal Functionality / 6.5.3：
Efficient Commitment Schemes from ?-Protocols / 6.6：
Summary / 6.7：
Oblivious Transfer and Applications / 7：
Notational Conventions for Protocols / 7.1：
Oblivious Transfer - Privacy Only / 7.2：
A Protocol Based on the DDH Assumption / 7.2.1：
A Protocol from Homomorphic Encryption / 7.2.2：
Oblivious Transfer - One-Sided Simulation / 7.3：
Oblivious Transfer - Full Simulation / 7.4：
1-out-of-2 Oblivious Transfer / 7.4.1：
Batch Oblivious Transfer / 7.4.2：
Another Oblivious Transfer - Full Simulation / 7.5：
Secure Pseudorandom Function Evaluation / 7.6：
Pseudorandom Function - Privacy Only / 7.6.1：
Pseudorandom Function - Full Simulation / 7.6.2：
Covert and One-Sided Simulation / 7.6.3：
Batch Pseudorandom Function Evaluation / 7.6.4：
The kth-Ranked Element / 8：
Background / 8.1：
A Protocol for Finding the Median / 8.1.1：
Reducing the kth-Ranked Element to the Median / 8.1.2：
Computing the Median - Semi-honest / 8.2：
Computing the Median - Malicious / 8.3：
The Reactive Greater-Than Functionality / 8.3.1：
Search Problems / 8.3.2：
Secure Database Search / 9.1：
Securely Realizing Basic Database Search / 9.2.1：
Securely Realizing Pull Database Search / 9.2.2：
Secure Document Search / 9.2.3：
Standard Smartcard Functionality and Security / 9.4：
Secure Text Search (Pattern Matching) / 9.4.2：
Indexed Implementation for Naor-Reingold / 9.5.1：
The Protocol for Secure Text Search / 9.5.2：
References
Index
Introduction and Definitions / Part I：
Introduction / 1：
Secure Multiparty Computation - Background / 1.1：
85.
ＥＢ
Hamid Bentarzi
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SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Introduction / 1：
References
The MOS Structure / 2：
A Simple Physical Approach Applied to MOS Structure / 2.1：
Basic Concepts and Quantities / 2.2.1：
Definition of Potentials / 2.2.2：
Ideal MOS Capacitor / 2.3：
Accumulation / 2.3.1：
Depletion / 2.3.2：
Inversion / 2.3.3：
The Actual (Non-ideal) MOS Structure / 2.4：
The Metal-Silicon Work Function Difference / 2.4.1：
Effect of the Charge Distributed in the Oxide / 2.4.2：
The MOS Oxide and Its Defects / 3：
Oxide Growth Techiques / 3.1：
Thermal Oxidation / 3.3：
Dry Oxidation / 3.3.1：
Wet Oxidation / 3.3.2：
Anodic Oxidation / 3.4：
Rapid Thermal Oxidation / 3.5：
MOS Oxide Defects / 3.6：
The Interface Trapped Charge / 3.6.1：
The Fixed Oxide Charge / 3.6.2：
The Oxide Trapped Charge / 3.6.3：
The Mobile Ionic Charge / 3.6.4：
Review of Transport Mechanism in Thin Oxides of MOS Devices / 4：
Electronic Conduction / 4.1：
The Schottky (or Thermionic) Conduction / 4.2.1：
The Tunneling Conduction / 4.2.2：
The Fowler-Nordheim Conduction / 4.2.3：
The Frenkel-Poole Conduction / 4.2.4：
The Hopping Conduction / 4.2.5：
The Space Charge-Limited Current / 4.2.6：
Ionic Conduction / 4.3：
Ionic Current Transport Equation / 4.3.1：
Summary / 4.4：
Experimental Techniques / 5：
High Frequency MOS C-V Measurement under BTS / 5.1：
Determination of the Flat-Band Voltage / 5.2.1：
How the Mobile Charges Effect can be Separated / 5.2.2：
Theory / 5.2.3：
Experimental Results and Discussion / 5.2.4：
TVS Technique / 5.3：
Earlier Investigation / 5.3.1：
TSIC Technique / 5.4：
Charge-pumping Associated with BTS Technique / 5.4.1：
Separation of the Mobile Charge Effect / 5.5.1：
Theoretical Approaches of Mobile Ions Density Distribution Determination / 5.5.3：
Problem Formulation / 6.1：
Earlier Analytical Approaches / 6.3：
Analytical Approach of Chou / 6.3.1：
Analytical Approach of Tangena et al / 6.3.2：
Analytical Approach of Romanov et al / 6.3.3：
Empirical Model / 6.4：
General Formulation / 6.4.1：
First Empirical Model / 6.4.2：
Results and Discussions / 6.4.3：
Second Empirical Model / 6.4.4：
Results and Discussion / 6.4.5：
Numerical Approach / 6.5：
Numerical Solution / 6.5.1：
Simulation Results and Discussion / 6.5.2：
Experimental and Simulation Results / 6.5.3：
Conclusion / 6.6：
Theoretical Model of Mobile Ions Distribution and Ionic Current in the MOS Oxide / 7：
Theoretical Model of Mobile Ions Density Distribution / 7.1：
Preliminary Considerations / 7.2.1：
One-Dimensional Distribution Model of Mobile Ions / 7.2.2：
I-V Characteristic Determination / 7.3：
Index / 7.4：
Introduction / 1：
References
The MOS Structure / 2：
86.
図書
Ilkka Havukkala
目次情報:
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Preface
Acknowledgement
About the Author
Introduction to Modern Molecular Biology / 1：
Cells store large amounts of information in DNA / 1.1：
Cells process complex information / 1.2：
Cellular life is chemically complex and somewhat stochastic / 1.3：
Challenges in analyzing complex biodata / 1.4：
References
Biodata Explosion / 2：
Primary sequence and structure data / 2.1：
DNA sequence databases / 2.1.1：
Protein sequence databases / 2.1.2：
Molecular structure databases / 2.1.3：
Secondary annotation data / 2.2：
Motif annotations / 2.2.1：
Gene function annotations / 2.2.2：
Genomic annotations / 2.2.3：
Inter-species phylogeny and gene family annotations / 2.2.4：
Experimental and personalized data / 2.3：
DNA expression profiles / 2.3.1：
Proteomics data and degradomics / 2.3.2：
Protein expression profiles, 2D gel and protein interaction data / 2.3.3：
Metabolomics and metabolic pathway databases / 2.3.4：
Personalized data / 2.3.5：
Semantic and processed text data / 2.4：
Ontologies / 2.4.1：
Text-mined annotation data / 2.4.2：
Integrated and federated databases / 2.5：
Local Pattern Discovery and Comparing Genes and Proteins / 3：
DNA/RNA motif discovery / 3.1：
Single motif models: MEME, AlignAce etc. / 3.1.1：
Multiple motif models: LOGOS and MotifRegressor / 3.1.2：
Informative k-mers approach / 3.1.3：
Protein motif discovery / 3.2：
InterProScan and other traditional methods / 3.2.1：
Protein k-mer and other string based methods / 3.2.2：
Genetic algorithms, particle swarms and ant colonies / 3.3：
Genetic algorithms / 3.3.1：
Particle swarm optimization / 3.3.2：
Ant colony optimization / 3.3.3：
Sequence visualization / 3.4：
Global Pattern Discovery and Comparing Genomes / 4：
Alignment-based methods / 4.1：
Pairwise genome-wide search algorithms: LAGAN, AVID etc. / 4.1.1：
Multiple alignment methods: MLAGAN, MAVID, MULTIZ etc. / 4.1.2：
Dotplots / 4.1.3：
Visualization of genome comparisons / 4.1.4：
Global motif maps / 4.1.5：
Alignmentless methods / 4.2：
K-mer based methods / 4.2.1：
Average common substring and compressibility based methods / 4.2.2：
2D portraits of genomes / 4.2.3：
Genome scale non-sequence data analysis / 4.3：
DNA physical structure based methods / 4.3.1：
Secondary structure based comparisons / 4.3.2：
Molecule Structure Based Searching and Comparison / 5：
Molecule structures as graphs or strings / 5.1：
3D to 1D transformations / 5.1.1：
Graph matching methods / 5.1.2：
Graph visualization / 5.1.3：
Graph grammars / 5.1.4：
RNA structure comparison and prediction / 5.2：
Image comparison based methods / 5.3：
Gabor filter based methods / 5.3.1：
Image symmetry set based methods / 5.3.2：
Other graph topology based methods / 5.3.3：
Function Annotation and Ontology Based Searching and Classification / 6：
Annotation ontologies / 6.1：
Gene Ontology based mining / 6.2：
Sequence similarity based function prediction / 6.3：
Cellular location prediction / 6.4：
New integrative methods: Utilizing networks / 6.5：
Text mining bioliterature for automated annotation / 6.6：
Natural language processing (NLP) / 6.6.1：
Semantic profiling / 6.6.2：
Matrix factorization methods / 6.6.3：
New Methods for Genomics Data: SVM and Others / 7：
SVM kernels / 7.1：
SVM trees / 7.2：
Methods for microarray data / 7.3：
Gene selection algorithms / 7.3.1：
Gene selection by consistency methods / 7.3.2：
Genome as a time series and discrete wavelet transform / 7.4：
Parameterless clustering for gene expression / 7.5：
Transductive confidence machines, conformal predictors and ROC isometrics / 7.6：
Text compression methods for biodata analysis / 7.7：
Integration of Multimodal Data: Toward Systems Biology / 8：
Comparative genome annotation systems / 8.1：
Phylogenetics methods / 8.2：
Network inference from interaction and coexpression data / 8.3：
Bayesian inference, association rule mining and Petri nets / 8.4：
Future Challenges / 9：
Network analysis methods / 9.1：
Unsupervised and supervised clustering / 9.2：
Neural networks and evolutionary methods / 9.3：
Semantic web and ontologization of biology / 9.4：
Biological data fusion / 9.5：
Rise of the GPU machines / 9.6：
Index
Preface
Acknowledgement
About the Author
87.
ＥＢ
Rafael Martí, Rafael Marti, Gerhard Reinelt
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Introduction / 1：
Basic definitions / 1.l：
Applications of the Linear Ordering Problem / 1.2：
Equivalent Graph Problems / 1.2.1：
Related Graph Problems / 1.2.2：
Aggregation of Individual Preferences / 1.2.3：
Binary Choice Probabilities / 1.2.4：
Ttiangulation of Input-Output Tables / 1.2.5：
Optimal Weighted Ancestry Relationships / 1.2.6：
Ranking in Sports Tournaments / 1.2.7：
Corruption Perception / 1.2.8：
Crossing Minimization / 1.2.9：
Linear Ordering with Quadratic Objective Function / 1.2.10：
Scheduling with Precedences / 1.2.11：
Linear Ordering with Cumulative Costs / 1.2.12：
Coupled Task Problem / 1.2.13：
Target Visitation Problem / 1.2.14：
Benchmark Problems / 1.3：
Data Format / 1.3.1：
Input-Output Matrices / 1.3.2：
Randomly Generated Instances A (Type 1) / 1.3.3：
Randomly Generated Instances A (Type 2) / 1.3.4：
Randomly Generated Instances B / 1.3.5：
SGB Instances / 1.3.6：
Instances of Schiavinotto and Stiltzle / 1.3.7：
Instances of Mitchell and Borchers / 1.3.8：
Further Special Instances / 1.3.9：
Heuristic Methods / 2：
Assessing the Quality of Heuristics / 2.1：
ConstlUction Heuristics / 2.2：
The Method of Chenery and Watanabe / 2.2.1：
Heuristics of Aujac & Masson / 2.2.2：
Heuristics of Becker / 2.2.3：
Best Insertion / 2.2.4：
Local Search / 2.3：
Insertion / 2.3.1：
The Heuristic of Chan as & Kobylanski / 2.3.2：
k-opt / 2.3.3：
Kernighan-Lin Type Improvement / 2.3.4：
Local Enumeration / 2.3.5：
Multi-Start Procedures / 2.4：
Variants of Multi-Start / 2.4.1：
Experiments with the LOP / 2.4.2：
Meta-Heuristics / 3：
GRASP / 3.1：
Construction Phase / 3.2.1：
Improvement Phase / 3.2.2：
Tabu Search / 3.3：
Short Term Memory / 3.3.1：
Long Term Memory / 3.3.2：
Simulated Annealing / 3.4：
Variable Neighborhood Search / 3.5：
Variable Neighborhood Descent / 3.5.1：
Restricted Variable Neighborhood Search / 3.5.2：
Basic Variable Neighborhood Search / 3.5.3：
Frequency Variable Neighborhood Search / 3.5.4：
Hybrid Variable Neighborhood Search / 3.5.5：
Scatter Search / 3.6：
Reference Set Creation / 3.6.1：
Reference Set Update / 3.6.2：
Reference Set Rebuild / 3.6.3：
Genetic Algorithms / 3.7：
Empilical Comparison / 3.8：
Branch-and-Bound / 4：
Branch-and-Bound with Partial Orderings / 4.1：
Lexicographic Search / 4.3：
Extension of Lexicographic Search to Branch-and-Bound / 4.4：
Branch-and-Bound with Lagrangian Relaxation / 4.5：
Branch-and-Cut / 5：
Integer Programming / 5.1：
Cutting Plane Algorithms / 5.2：
Branch-and-Cut with 3-Dicycle Cuts / 5.3：
Solving the 3-Diycle Relaxation / 5.3.1：
An LP Based Henristic / 5.3.2：
Computational Results witl1 3-Dicycles / 5.3.3：
Generation of Further Cuts / 5.4：
Chvatal-Gomory Cuts / 5.4.1：
Maximally Violated Mod-k Cuts / 5.4.2：
Mod-2 Cuts / 5.4.3：
Implementation of Branch-and-Cut / 5.5：
Initialization / 5.5.1：
Active Variables / 5.5.2：
Local Upper Bound / 5.5.3：
Branching / 5.5.4：
Fixing and Setting of Variables / 5.5.5：
Logical Implications / 5.5.6：
Selection of Nodes / 5.5.7：
Lower Bounds / 5.5.8：
Separation / 5.5.9：
Elimination of Constraints / 5.5.10：
Constraint Pool / 5.5.11：
Pricing / 5.5.12：
Infeasible LPs / 5.5.13：
Addition of Variables / 5.5.14：
Some Computational Results / 5.6：
The Linear Ordering Polytope / 6：
Polyhedral Combinatorics and Basic Results / 6.1：
Facets of the Linear Ordering Polytope / 6.2：
Computation of Complete Descriptions / 6.3：
Differences between Facets / 6.4：
Separation of Small Facets / 6.5：
Computational Experiments with Small Facets / 6.6：
Comparison of Henristics / 6.6.1：
Cutting Plane Selection / 6.6.2：
Number of Classes Taken into Account / 6.6.3：
Facet Selection / 6.6.4：
Local Cuts and Target Cuts / 6.7：
Further Aspects / 7：
Approximative Algorithms / 7.1：
Integrality Gaps of LP Relaxations / 7.2：
Degree of Linearity / 7.3：
Semidefinite Relaxations / 7.4：
Context Independent Solvers / 7.5：
Difficulty of LOP Instances / 7.6：
Sparse Problems / 7.7：
A Simple Dual Heuristic / 7.8：
Future Research / 7.9：
References
Index
Introduction / 1：
Basic definitions / 1.l：
Applications of the Linear Ordering Problem / 1.2：
88.
ＥＢ
Hubregt J. Visser
出版情報:
Wiley Online Library - AutoHoldings Books , Hoboken : Wiley Telecom, 2012
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Preface
Acknowledgements
List of Abbreviations
Introduction / 1：
The Early History of Antennas / 1.1：
Antennas and Electromagnetic Radiation / 1.2：
Electromagnetic Radiation / 1.2.1：
Short Wire Dipole Radiation / 1.2.2：
The Modern History of Antennas / 1.3：
Frequency Spectrum and Antenna Types / 1.4：
Dipole Antennas / 1.4.1：
Loop Antennas / 1.4.2：
Aperture Antennas / 1.4.3：
Reflector Antennas / 1.4.4：
Array Antennas / 1.4.5：
Modem Antennas / 1.4.6：
Organization of the Book / 1.5：
Problems / 1.6：
References
Antenna System-Level Performance Parameters / 2：
Radiation Pattern / 2.1：
Field Regions / 2.1.1：
Three-Dimensional Radiation Pattern / 2.1.2：
Planar Cuts / 2.1.3：
Power Patterns / 2.1.4：
Directivity and Gain / 2.1.5：
Antenna Beamwidth / 2.1.6：
Antenna Impedance and Bandwidth / 2.2：
Polarization / 2.3：
Elliptical Polarization / 2.3.1：
Circular Polarization / 2.3.2：
Linear Polarization / 2.3.3：
Axial Ratio / 2.3.4：
Antenna Effective Area and Vector Effective Length / 2.4：
Effective Area / 2.4.1：
Vector Effective Length / 2.4.2：
Radio Equation / 2.5：
Radar Equation / 2.6：
Radar Cross-Section / 2.6.1：
Vector Analysis / 2.7：
Addition and Subtraction / 3.1：
Products / 3.2：
Scalar Product or Dot Product / 3.2.1：
Vector Product or Cross Product / 3.2.2：
Triple Product / 3.2.3：
Differentiation / 3.3：
Gradient / 3.3.1：
Divergence / 3.3.2：
Curl / 3.3.3：
Radiated Fields / 3.4：
Maxwell Equations / 4.1：
Vector Potential / 4.2：
Far-Field Approximations / 4.3：
Magnetic Field / 4.3.1：
Electric Field / 4.3.2：
Reciprocity / 4.4：
Lorentz Reciprocity Theorem / 4.4.1：
Antenna Reciprocity / 4.4.2：
Elementary Dipole / 4.5：
Radiation / 5.1.1：
Input Impedance / 5.1.2：
Non-Infinitesimal Dipole Antenna / 5.2：
Printed Monopole and Inverted-F Antennas / 5.2.1：
Application of Theory / 5.3.1：
Planar Monopole Antenna Design / 5.3.2：
Printed UWB Antenna Design / 5.3.3：
Miniature Monopole with Cable Current Suppression / 5.3.4：
Inverted-F Antenna Design / 5.3.5：
General Constant Current Loop / 5.4：
Small Loop Antenna / 6.1.1：
Comparison of Short Dipole and Small Loop Antenna / 6.1.4：
Printed Loop Antenna / 6.2：
Design of a Printed Loop Antenna / 6.2.1：
Magnetic Sources / 6.3：
Uniqueness Theorem / 7.2：
Equivalence Principle / 7.3：
Uniform Distribution in a Rectangular Aperture / 7.4：
Uniform Distribution in a Circular Aperture / 7.6：
Microstrip Antennas / 7.7：
Design of a Linearly Polarized Microstrip Antenna / 7.7.1：
Design of a Circularly Polarized Microstrip Antenna / 7.7.3：
A Linear Array of Non-Isotropic Point-Source Radiators / 7.8：
Array Factor / 8.2：
Side Lobes and Grating Lobes / 8.3：
Side-Lobe Level / 8.3.1：
Grating Lobes / 8.3.2：
Linear Phase Taper / 8.4：
Special Topics / 8.5：
Mutual Coupling / 8.6.1：
Antenna Diversity / 8.6.2：
Sequential Rotation and Phasing / 8.6.3：
Array Antenna Design / 8.7：
Theory / 8.7.1：
A Linear Microstrip Patch Array Antenna / 8.7.2：
Effective Aperture and Directivity / 8.8：
Vector Formulas / Appendix B：
Complex Analysis / Appendix C：
Complex Numbers / C.1：
Use of Complex Variables / C.2：
Physical Constants and Material Parameters / Appendix D：
Two-Port Network Parameters / Appendix E：
Transmission Line Theory / Appendix F：
Distributed Parameters / F.1：
Guided Waves / F.2：
VSWR and Reflection Factor / F.2.1：
Impedance and Relative Impedance / F.2.2：
Input Impedance of a Transmission Line / F.3：
Terminated Lossless Transmission Line / F.4：
Matched Load / F.4.1：
Short Circuit / F.4.2：
Open Circuit / F.4.3：
Imaginary Unit Termination / F.4.4：
Real Termination / F.4.5：
Quarter Wavelength Impedance Transformer / F.5：
Coplanar Waveguide (CPW) / Appendix G：
Index
Preface
Acknowledgements
List of Abbreviations
89.
図書
Mike Lancaster
出版情報:
Cambridge : Royal Society of Chemistry, c2010 xv, 328 p. ; 24 cm
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Principles and Concepts of Green Chemistry / Chapter 1：
Introduction / 1.1：
Sustainable Development and Green Chemistry / 1.2：
Green Engineering / 1.2.1：
Atom Economy / 1.3：
Atom Economic Reactions / 1.4：
Rearrangement Reactions / 1.4.1：
Addition Reactions / 1.4.2：
Atom Un-economic Reactions / 1.5：
Substitution Reactions / 1.5.1：
Elimination Reactions / 1.5.2：
Wittig Reactions / 1.5.3：
Reducing Toxicity / 1.6：
Measuring Toxicity / 1.6.1：
Review Questions
Further Reading
Waste: Production, Problems, and Prevention / Chapter 2：
Some Problems Caused by Waste / 2.1：
Sources of Waste from the Chemical Industry / 2.3：
Cost of Waste / 2.4：
Waste Minimization Techniques / 2.5：
The Team Approach to Waste Minimization / 2.5.1：
Process Design for Waste Minimization / 2.5.2：
Minimizing Waste from Existing Processes / 2.5.3：
On-site Waste Treatment / 2.6：
Physical Treatment / 2.6.1：
Chemical Treatment / 2.6.2：
Biotreatment Plants / 2.6.3：
Design for Degradation / 2.7：
Degradation and Surfactants / 2.7.1：
DDT / 2.7.2：
Polymers / 2.7.3：
Some Rules for Degradation / 2.7.4：
Polymer Recycling / 2.8：
Separation and Sorting / 2.8.1：
Incineration / 2.8.2：
Mechanical Recycling / 2.8.3：
Chemical Recycling to Monomers / 2.8.4：
Measuring and Controlling Environmental Performance / Chapter 3：
The Importance of Measurement / 3.1：
Lactic Acid Production / 3.1.1：
Safer Gasoline / 3.1.2：
Introduction to Life Cycle Assessment / 3.2：
Four Stages of LCA / 3.2.1：
Carbon Footprinting / 3.2.2：
Green Process Metrics / 3.3：
Environmental Management Systems (EMS) / 3.4：
ISO 14001 / 3.4.1：
The European Eco-Management and Audit Scheme (EMAS) / 3.4.2：
Eco-Labels / 3.5：
Legislation / 3.6：
Integrated Pollution Prevention and Control (IPPC) / 3.6.1：
Reach / 3.6.2：
Catalysis and Green Chemistry / Chapter 4：
Introduction to Catalysis / 4.1：
Comparison of Catalyst Types / 4.1.1：
Heterogeneous Catalysts / 4.2：
Basics of Heterogeneous Catalysis / 4.2.1：
Zeolites and the Bulk Chemical Industry / 4.2.2：
Heterogeneous Catalysis in the Fine Chemical and Pharmaceutical Industries / 4.2.3：
Catalytic Converters / 4.2.4：
Homogeneous Catalysts / 4.3：
Transition Metal Catalysts with Phosphine or Carbonyl Ligands / 4.3.1：
Greener Lewis Acids / 4.3.2：
Asymmetric Catalysis / 4.3.3：
Phase Transfer Catalysis / 4.4：
Hazard Reduction / 4.4.1：
C-C Bond Formation / 4.4.2：
Oxidation using Hydrogen Peroxide / 4.4.3：
Biocatalysis / 4.5：
Photocatalysis / 4.6：
Conclusions / 4.7：
Organic Solvents: Environmentally Benign Solutions / Chapter 5：
Organic Solvents and Volatile Organic Compounds / 5.1：
Solvent-free Systems / 5.2：
Supercritical Fluids / 5.3：
Supercritical Carbon Dioxide (scCO2 ) / 5.3.1：
Supercritical Water / 5.3.2：
Water as a Reaction Solvent / 5.4：
Water Based Coatings / 5.4.1：
Ionic Liquids / 5.5：
Ionic Liquids as Catalysts / 5.5.1：
Ionic Liquids as Solvents / 5.5.2：
Fluorous Biphase Solvents / 5.6：
Comparing Greenness of Solvents / 5.7：
Renewable Resources / 5.8：
Biomass as a Renewable Resource / 6.1：
Energy / 6.2：
Fossil Fuels / 6.2.1：
Energy from Biomass / 6.2.2：
Solar Power / 6.2.3：
Other Forms of Renewable Energy / 6.2.4：
Fuel Cells / 6.2.5：
Chemicals from Renewable Feedstocks / 6.3：
Chemicals from Fatly Acids / 6.3.1：
Polymers from Renewable Resources / 6.3.2：
Some Other Chemicals from Natural Resources / 6.3.3：
Alternative Economies / 6.4：
Syngas Economy / 6.4.1：
Hydrogen Economy / 6.4.2：
Biorefinery / 6.5：
Emerging Greener Technologies and Alternative Energy Sources / 6.6：
Design for Energy Efficiency / 7.1：
Photochemical Reactions / 7.2：
Advantages of and Challenges Faced by Photochemical Processes / 7.2.1：
Examples of Photochemical Reactions / 7.2.2：
Chemistry using Microwaves / 7.3：
Microwave Heating / 7.3.1：
Microwave-assisted Reactions / 7.3.2：
Sonochemistry / 7.4：
Sonochemistry and Green Chemistry / 7.4.1：
Electrochemical Synthesis / 7.5：
Examples of Electrochemical Synthesis / 7.5.1：
Designing Greener Processes / 7.6：
Conventional Reactors / 8.1：
Batch Reactors / 8.2.1：
Continuous Reactors / 8.2.2：
Inherently Safer Design / 8.3：
Minimization / 8.3.1：
Simplification / 8.3.2：
Substitution / 8.3.3：
Moderation / 8.3.4：
Limitation / 8.3.5：
Process Intensification / 8.4：
Some PI Equipment / 8.4.1：
Some Example of Intensified Processes / 8.4.2：
In-process Monitoring / 8.5：
Near-infrared Spectroscopy / 8.5.1：
Process Safety / 8.6：
Industrial Case Studies / Chapter 9：
Methyl Methacrylate / 9.1：
Greening of Acetic Acid Manufacture / 9.3：
EPDM Rubbers / 9.4：
Vitamin C / 9.5：
Leather Manufacture / 9.6：
Tanning / 9.6.1：
Fatliquoring / 9.6.2：
Dyeing to be Green / 9.7：
Some Manufacturing Improvements / 9.7.1：
Dye Application / 9.7.2：
Polyethylene / 9.8：
Radical Process / 9.8.1：
Ziegler-Natta Catalysis / 9.8.2：
Metallocene Catalysis / 9.8.3：
Post Metallocene Catalysts / 9.8.4：
Eco-friendly Pesticides / 9.9：
Insecticides / 9.9.1：
Epichlorohydrin / 9.10：
The Future's Green: An Integrated Approach to a Greener Chemical Industry / Chapter 10：
Society and Sustainability / 10.1：
Barriers & Drivers / 10.2：
Role of Legislation / 10.3：
Green Chemical Supply Strategies / 10.4：
Greener Energy / 10.5：
Subject Index / 10.6：
Principles and Concepts of Green Chemistry / Chapter 1：
Introduction / 1.1：
Sustainable Development and Green Chemistry / 1.2：
90.
図書
Vítor Araújo, Maria José Pacifico
目次情報:
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Introduction / 1：
Organization of the Text / 1.1：
Preliminary Definitions and Results / 2：
Fundamental Notions and Definitions / 2.1：
Critical Elements, Non-wandering Points, Stable and Unstable Sets / 2.1.1：
Limit Sets, Transitivity, Attractors and Repellers / 2.1.2：
Hyperbolic Critical Elements / 2.1.3：
Topological Equivalence, Structural Stability / 2.1.4：
Low Dimensional Flow Versus Chaotic Behavior / 2.2：
One-Dimensional Flows / 2.2.1：
Two-Dimensional Flows / 2.2.2：
Three Dimensional Chaotic Attractors / 2.2.3：
Hyperbolic Flows / 2.3：
Hyperbolic Sets and Singularities / 2.3.1：
Examples of Hyperbolic Sets and Axiom A Flows / 2.3.2：
Expansiveness and Sensitive Dependence on Initial Conditions / 2.4：
Chaotic Systems / 2.4.1：
Expansive Systems / 2.4.2：
Basic Tools / 2.5：
The Tubular Flow Theorem / 2.5.1：
Transverse Sections and the Poincaré Return Map / 2.5.2：
The Hartman-Grobman Theorem on Local Linearization / 2.5.3：
The (Strong) Inclination Lemma (or ?-Lemma) / 2.5.4：
Homoclinic Classes, Transitiveness and Denseness of Periodic Orbits / 2.5.5：
The Closing Lemma / 2.5.6：
The Connecting Lemma / 2.5.7：
The Ergodic Closing Lemma / 2.5.8：
A Perturbation Lemma for Flows / 2.5.9：
Generic Vector Fields and Lyapunov Stability / 2.5.10：
The Linear Poincaré Flow / 2.6：
Hyperbolic Splitting for the Linear Poincaré Flow / 2.6.1：
Dominated Splitting for the Linear Poincaré Flow / 2.6.2：
Incompressible Flows, Hyperbolicity and Dominated Splitting / 2.6.3：
Ergodic Theory / 2.7：
Physical or SRB Measures / 2.7.1：
Gibbs Measures Versus SRB Measures / 2.7.2：
Stability Conjectures / 2.8：
Singular Cycles and Robust Singular Attractors / 3：
Singular Horseshoe / 3.1：
A Singular Horseshoe Map / 3.1.1：
A Singular Cycle with a Singular Horseshoe First Return Map / 3.1.2：
The Singular Horseshoe Is a Partially Hyperbolic Set with Volume Expanding Central Direction / 3.1.3：
Bifurcations of Saddle-Connections / 3.2：
Saddle-Connection with Real Eigenvalues / 3.2.1：
Inclination Flip and Orbit Flip / 3.2.2：
Saddle-Focus Connection and Shil'nikov Bifurcations / 3.2.3：
Lorenz Attractor and Geometric Models / 3.3：
Properties of the Lorenz System of Equations / 3.3.1：
The Geometric Model / 3.3.2：
The Geometric Lorenz Attractor Is a Partially Hyperbolic Set with Volume Expanding Central Direction / 3.3.3：
Existence and Robustness of Invariant Stable Foliation / 3.3.4：
Robustness of the Geometric Lorenz Attractors / 3.3.5：
The Geometric Lorenz Attractor Is a Homoclinic Class / 3.3.6：
Robustness on the Whole Ambient Space / 4：
No Equilibria Surrounded by Regular Orbits with Dominated Splitting / 4.1：
Homogeneous Flows and Dominated Splitting / 4.2：
Dominated Splitting over the Periodic Orbits / 4.2.1：
Dominated Splitting over Regular Orbits from the Periodic Ones / 4.2.2：
Bounded Angles on the Splitting over Hyperbolic Periodic Orbits / 4.2.3：
Dominated Splitting for the Linear Poincaré Flow Along Regular Orbits / 4.2.4：
Uniform Hyperbolicity for the Linear Poincaré Flow / 4.3：
Subadditive Functions of the Orbits of a Flow and Exponential Growth / 4.3.1：
Uniform Hyperbolicity for the Linear Poincaré Flow on the Whole Manifold / 4.3.2：
Robust Transitivity and Singular-Hyperbolicity / 5：
Definitions and Statement of Results / 5.1：
Equilibria of Robust Attractors Are Lorenz-Like / 5.1.1：
Robust Attractors Are Singular-Hyperbolic / 5.1.2：
Brief Sketch of the Proofs / 5.1.3：
Higher Dimensional Analogues / 5.2：
Singular-Attractor with Arbitrary Number of Expanding Directions / 5.2.1：
The Notion of Sectionally Expanding Sets / 5.2.2：
Homogeneous Flows and Sectionally Expanding Attractors / 5.2.3：
Proof of Sufficient Conditions to Obtain Attractors / 5.3：
Robust Singular Transitivity Implies Attractors or Repellers / 5.3.2：
Attractors and Singular-Hyperbolicity / 5.4：
Uniformly Dominated Splitting over the Periodic Orbits / 5.4.1：
Dominated Splitting over a Robust Attractor / 5.4.2：
Flow-Boxes Near Equilibria / 5.4.3：
Uniformly Bounded Angle Between Stable and Center-Unstable Directions on Periodic Orbits / 5.4.5：
Singular-Hyperbolicity and Robustness / 6：
Cross-Sections and Poincaré Maps / 6.1：
Stable Foliations on Cross-Sections / 6.1.1：
Hyperbolicity of Poincaré Maps / 6.1.2：
Adapted Cross-Sections / 6.1.3：
Global Poincaré Return Map / 6.1.4：
The One-Dimensional Piecewise Expanding Map / 6.1.5：
Denseness of Periodic Orbits and the One-Dimensional Map / 6.1.6：
Crossing Strips and the One-Dimensional Map / 6.1.7：
Homoclinic Class / 6.2：
Sufficient Conditions for Robustness / 6.3：
Denseness of Periodic Orbits and Transitivity with a Unique Singularity / 6.3.1：
Unstable Manifolds of Periodic Orbits Inside Singular-Hyperbolic Attractors / 6.3.2：
Expansiveness and Physical Measure / 7：
Statements of the Results and Overview of the Arguments / 7.1：
Robust Sensitiveness / 7.1.1：
Existence and Uniqueness of a Physical Measure / 7.1.2：
Expansiveness / 7.2：
Proof of Expansiveness / 7.2.1：
Infinitely Many Coupled Returns / 7.2.2：
Semi-global Poincaré Map / 7.2.3：
A Tube-Like Domain Without Singularities / 7.2.4：
Every Orbit Leaves the Tube / 7.2.5：
Expansiveness of the Poincaré Map / 7.2.6：
Singular-Hyperbolicity and Chaotic Behavior / 7.2.8：
Non-uniform Hyperbolicity / 7.3：
The Starting Point / 7.3.1：
The Hölder Property of the Projection / 7.3.2：
Integrability of the Global Return Time / 7.3.3：
Suspending Invariant Measures / 7.3.4：
Physical Measure for the Global Poincaré Map / 7.3.5：
Suspension Flow from the Poincaré Map / 7.3.6：
Physical Measures for the Suspension / 7.3.7：
Physical Measure for the Flow / 7.3.8：
Hyperbolicity of the Physical Measure / 7.3.9：
Absolutely Continuous Disintegration of the Physical Measure / 7.3.10：
Constructing the Disintegration / 7.3.11：
The Support Covers the Whole Attractor / 7.3.12：
Singular-Hyperbolicity and Volume / 8：
Dominated Decomposition and Zero Volume / 8.1：
Dominated Splitting and Regularity / 8.1.1：
Uniform Hyperbolicity / 8.1.2：
Singular-Hyperbolicity and Zero Volume / 8.2：
Positive Volume Versus Transitive Anosov Flows / 8.2.1：
Extension to Sectionally Expanding Attractors in Higher Dimensions / 8.2.3：
Global Dynamics of Generic 3-Flows / 9：
Spectral Decomposition / 9.1：
Some Consequences of the Generic Dichotomy / 9.2：
Generic 3-Flows, Lyapunov Stability and Singular-Hyperbolicity / 9.2.2：
Conservative Tubular Flow Theorem / 9.3：
Realizable Linear Flows / 9.3.2：
Blending Oseledets Directions Along an Orbit Segment / 9.3.3：
Lowering the Norm: Local Procedure / 9.3.4：
Lowering the Norm: Global Procedure / 9.3.5：
Proof of the Dichotomy with Singularities (Theorem 9.4) / 9.3.6：
Related Results and Recent Developments / 10：
More on Singular-Hyperbolicity / 10.1：
Topological Dynamics / 10.1.1：
Attractors that Resemble the Lorenz Attractor / 10.1.2：
Unfolding of Singular Cycles / 10.1.3：
Contracting Lorenz-Like Attractors / 10.1.4：
Dimension Theory, Ergodic and Statistical Properties / 10.1.5：
Large Deviations for the Lorenz Flow / 10.2.1：
Central Limit Theorem for the Lorenz Flow / 10.2.2：
Decay of Correlations / 10.2.3：
Decay of Correlations for the Return Map and Quantitative Recurrence on the Geometric Lorenz Flow / 10.2.4：
Non-mixing Flows and Slow Decay of Correlations / 10.2.5：
Decay of Correlations for Flows / 10.2 6：
Thermodynamical Formalism / 10.2.7：
Generic Conservative Flows in Dimension 3 / 10.3：
Lyapunov Stability on Generic Vector Fields / Appendix A：
Robustness of Dominated Decomposition / Appendix B：
References
Index
Introduction / 1：
Organization of the Text / 1.1：
Preliminary Definitions and Results / 2：
91.
ＥＢ
John Harnad, John P. Harnad
出版情報:
SpringerLink Books - AutoHoldings , Springer New York, 2011
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Preface / John Harnad
References
Random Matrices, Random Processes and Integrable Models / Part I：
Random and Integrable Models in Mathematics and Physics / Pierre van Moerbeke1：
Permutations, Words, Generalized Permutations and Percolation / 1.1：
Longest Increasing Subsequences in Permutations, Words and Generalized Permutations / 1.1.1：
Young Diagrams and Schur Polynomials / 1.1.2：
Robinson-Schensted-Knuth Correspondence for Generalized Permutations / 1.1.3：
The Cauchy Identity / 1.1.4：
Uniform Probability on Permutations, Plancherel Measure and Random Walks / 1.1.5：
Probability Measure on Words / 1.1.6：
Generalized Permutations, Percolation and Growth Models / 1.1.7：
Probability on Partitions, Toeplitz and Fredholm Determinants / 1.2：
Probability on Partitions Expressed as Toeplitz Determinants / 1.2.1：
The Calculus of Infinite Wedge Spaces / 1.2.2：
Probability on Partitions Expressed as Fredholm Determinants / 1.2.3：
Probability on Partitions Expressed as U(n) Integrals / 1.2.4：
Examples / 1.3：
Plancherel Measure and Gessel's Theorem / 1.3.1：
Probability on Random Words / 1.3.2：
Percolation / 1.3.3：
Limit Theorems / 1.4：
Limit for Plancherel Measure / 1.4.1：
Limit Theorem for Longest Increasing Sequences / 1.4.2：
Limit Theorem for the Geometrically Distributed Percolation Model, when One Side of the Matrix Tends to $$$ / 1.4.3：
Limit Theorem for the Geometrically Distributed Percolation Model, when Both Sides of the Matrix Tend to $$$ / 1.4.4：
Limit Theorem for the Exponentially Distributed Percolation Model, when Both Sides of the Matrix tend to $$$ / 1.4.5：
Orthogonal Polynomials for a Time-Dependent Weight and the KP Equation / 1.5：
Orthogonal Polynomials / 1.5.1：
Time-Dependent Orthogonal Polynomials and the KP Equation / 1.5.2：
Virasoro Constraints / 1.6：
Virasoro Constraints for ?-Integrals / 1.6.1：
Random Matrices / 1.6.2：
Haar Measure on the Space Hn of Hermitian Matrices / 1.7.1：
Random Hermitian Ensemble / 1.7.2：
Reproducing Kernels / 1.7.3：
Correlations and Fredholm Determinants / 1.7.4：
The Distribution of Hermitian Matrix Ensembles / 1.8：
Classical Hermitian Matrix Ensembles / 1.8.1：
The Probability for the Classical Hermitian Random Ensembles and PDEs Generalizing Painlevé / l.8.2：
Chazy and Painlevé Equations / 8.3：
Large Hermitian Matrix Ensembles / 1.9：
Equilibrium Measure for GUE and Wigner's Semi-Circle / 1.9.1：
Soft Edge Scaling Limit for GUE and the Tracy-Widom Distribution / 1.9.2：
Integrable Systems, Random Matrices, and Random Processes / Mark Adler2：
Matrix Integrals and Solitons / 2.1：
Random Matrix Ensembles / 2.1.1：
Large n-limits / 2.1.2：
KP Hierarchy / 2.1.3：
Vertex Operators, Soliton Formulas and Fredholm Determinants / 2.1.4：
Virasoro Relations Satisfied by the Fredholm Determinant / 2.1.5：
Differential Equations for the Probability in Scaling Limits / 2.1.6：
Recursion Relations for Unitary Integrals / 2.2：
Results Concerning Unitary Integrals / 2.2.1：
Examples from Combinatorics / 2.2.2：
Bi-orthogonal Polynomials on the Circle and the Toeplitz Lattice / 2.2.3：
Virasoro Constraints and Difference Relations / 2.2.4：
Singularity Confinement of Recursion Relations / 2.2.5：
Coupled Random Matrices and the 2-Toda Lattice / 2.3：
Main Results for Coupled Random Matrices / 2.3.1：
Link with the 2-Toda Hierarchy / 2.3.2：
L-U Decomposition of the Moment Matrix, Bi-orthogonal Polynomials and 2-Toda Wave Operators / 2.3.3：
Bilinear Identities and $$$-function PDEs / 2.3.4：
Virasoro Constraints for the $$$- functions / 2.3.5：
Consequences of the Virasoro Relations / 2.3.6：
Final Equations / 2.3.7：
Dyson Brownian Motion and the Airy Process / 2.4：
Processes / 2.4.1：
PDEs and Asymptotics for the Processes / 2.4.2：
Proof of the Results / 2.4.3：
The Pearcey Distribution / 2.5：
GUE with an External Source and Brownian Motion / 2.5.1：
MOPS and a Riemann-Hilbert Problem / 2.5.2：
Results Concerning Universal Behavior / 2.5.3：
3-KP Deformation of the Random Matrix Problem / 2.5.4：
Virasoro Constraints for the Integrable Deformations / 2.5.5：
A PDE for the Gaussian Ensemble with External Source and the Pearcey PDE / 2.5.6：
A Hirota Symbol Residue Identity
Integral Operators in Random Matrix Theory / Harold WidowPart II：
Hilbert-Schmidt and Trace Class Operators. Trace and Determinant. Fredholm Determinants of Integral Operators / 3.1：
Correlation Functions and Kernels of Integral Operators. Spacing Distributions as Operator Determinants. The Sine and Airy Kernels / 3.2：
Differential Equations for Distribution Functions Arising in Random Matrix Theory. Representations in Terms of Painlevé functions / 3.3：
Lectures on Random Matrix Models / Pavel M. Bleher4：
Random Matrix Models and Orthogonal Polynomials / 4.1：
Unitary Ensembles of Random Matrices / 4.1.1：
The Riemann-Hilbert Problem for Orthogonal Polynomials / 4.1.2：
Distribution of Eigenvalues and Equilibrium Measure / 4.1.3：
Large N Asymptotics of Orthogonal Polynomials. The Riemann-Hilbert Approach / 4.2：
Heine's Formula for Orthogonal Polynomials / 4.2.1：
First Transformation of the RH Problem / 4.2.2：
Second Transformation of the RHP: Opening of Lenses / 4.2.3：
Model RHP / 4.2.4：
Construction of a Parametrix at Edge Points / 4.2.5：
Third and Final Transformation of the RHP / 4.2.6：
Solution of the RHP for Rn(z) / 4.2.7：
Asymptotics of the Recurrent Coefficients / 4.2.8：
Universality in the Random Matrix Model / 4.2.9：
Double Scaling Limit in a Random Matrix Model / 4.3：
Ansatz of the Double Scaling Limit / 4.3.1：
Construction of the Parametrix in ?WKB / 4.3.2：
Construction of the Parametrix near the Turning Points / 4.3.3：
Construction of the Parametrix near the Critical Point / 4.3.4：
Large N Asymptotics of the Partition Function of Random Matrix Models / 4.4：
Partition Function / 4.4.1：
Analyticity of the Free Energy for Regular V / 4.4.2：
Topological Expansion / 4.4.3：
One-Sided Analyticity at a Critical Point / 4.4.4：
Double Scaling Limit of the Free Energy / 4.4.5：
Random Matrix Model with External Source / 4.5：
Random Matrix Model with External Source and Multiple Orthogonal Polynomials / 4.5.1：
Gaussian Matrix Model with External Source and Non-Intersecting Brownian Bridges / 4.5.2：
Gaussian Model with External Source. Main Results / 4.5.3：
Construction of a Parametrix in the Case a > 1 / 4.5.4：
Construction of a Parametrix in the Case a < 1 / 4.5.5：
Double Scaling Limit at a = 1 / 4.5.6：
Concluding Remarks / 4.5.7：
Large N Asymptotics in Random Matrices / Alexander R, Its5：
The RH Representation of the Orthogonal Polynomials and Matrix Models / 5.1：
Introduction / 5.1.1：
The RH Representation of the Orthogonal Polynomials / 5.1.2：
Elements of the RH Theory / 5.1.3：
The Asymptotic Analysis of the RH Problem. The DKMVZ Method / 5.2：
A Naive Approach / 5.2.1：
The g-Function / 5.2.2：
Construction of the g-Function / 5.2.3：
The Parametrix at the End Points. The Conclusion of the Asymptotic Analysis / 5.3：
The Model Problem Near z = z0 / 5.3.1：
Solution of the Model Problem / 5.3.2：
The Final Formula for the Parametrix / 5.3.3：
The Conclusion of the Asymptotic Analysis / 5.3.4：
The Critical Case. The Double Scaling Limit and the Second Painlevé Equation / 5.4：
The Parametrix at z = 0 / 5.4.1：
The Conclusion of the Asymptotic Analysis in the Critical Case / 5.4.2：
Analysis of the RH Problem (1C)-(3C). The Second Painlevé Equation / 5.4.3：
The Painlevé Asymptotics of the Recurrence Coefficients / 5.4.4：
Formal Matrix Integrals and Combinatorics of Maps / B. Eynard6：
Formal Matrix Integrals / 6.1：
Combinatorics of Maps / 6.2.1：
Loop Equations / 6.2.2：
1-Matrix Model / 6.4：
2-Matrix Model / 6.4.2：
Chain of Matrices / 6.4.3：
Closed Chain of Matrices / 6.4.4：
O(n) Model / 6.4.5：
Potts Model / 6.4.6：
3-Color Model / 6.4.7：
6-Vertex Model / 6.4.8：
ADE Models / 6.4.9：
ABAB Models / 6.4.10：
Discussion / 6.5：
Summary of Some Known Results / 6.5.1：
Some Open Problems / 6.5.2：
Application of Random Matrix Theory to Multivariate Statistics / Momar Dieng ; Craig A. Tracy7：
Multivariate Statistics / 7.1：
Wishart Distribution / 7.1.1：
An Example with $$$ cIp / 7.1.2：
Edge Distribution Functions / 7.2：
Summary of Fredholm Determinant Representations / 7.2.1：
Universality Theorems / 7.2.2：
Painlevé Representations: A Summary / 7.3：
Preliminaries / 7.4：
Determinant Matters / 7.4.1：
Recursion Formula for the Eigenvalue Distributions / 7.4.2：
The Distribution of the mth Largest Eigenvalue in the GUE / 7.5：
The Distribution Function as a Fredholm Determinant / 7.5.1：
Edge Scaling and Differential Equations / 7.5.2：
The Distribution of the mth Largest Eigenvalue in the GSE / 7.6：
Gaussian Specialization / 7.6.1：
Edge Scaling / 7.6.3：
The Distribution of the mth Largest Eigenvalue in the GOE / 7.7：
An Interlacing Property / 7.7.1：
Numerics / 7.9：
Partial Derivatives of q(x, ?) / 7.9.1：
Algorithms / 7.9.2：
Tables / 7.9.3：
Index
Preface / John Harnad
References
Random Matrices, Random Processes and Integrable Models / Part I：
92.
ＥＢ
Brandau, Ottmar Brandau, Plastics Design Library.
出版情報:
Elsevier ScienceDirect Books , William Andrew Publishing, 2012
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Acknowledgments
Editor's Note
Foreword to the Second Edition
PET Beverage Bottles / 1：
From the First Idea to the Finished Bottle / 1.1：
Development Over the Past 25-30 Years / 1.1.1：
Starting Point of a Product Development / 1.1.2：
Design Engineering / 1.1.3：
Determination of Bottle Properties / 1.2：
Top Load / 1.2.1：
Internal Pressure / 1.2.2：
Handling Stability / 1.2.3：
Stress Cracking / 1.2.4：
Barrier / 1.2.5：
Generating the First Design in CAD / 1.3：
The Bottle Design Already Exists / 1.3.1：
Creation of a New Design / 1.3.2：
From Shape to Full-Fledged Design for a Dependable Process / 1.4：
From the Ideal to the Real Preform / 1.4.1：
Bottle Design for a Dependable Process / 1.4.2：
Verification of the 3D Design Through Finite-element Simulation / 1.5：
What is FEM? / 1.5.1：
What FEM Can Do / 1.5.2：
What FEM Cannot Do / 1.5.3：
Selection of the Mold Concept to Meet Customer-specific Criteria / 1.6：
Shell Molds / 1.6.1：
Hot-fill Molds / 1.6.2：
Mold Design and Mold Manufacture / 1.7：
Mold Design / 1.7.1：
Mold Making / 1.7.2：
Mold Trials and Examination of Sample Bottles / 1.8：
Mold Trials on Laboratory Machines / 1.8.1：
Process Finding During Mold Trials / 1.8.2：
Laboratory Tests on Sample Bottles / 1.8.3：
PET Preforms / 2：
Introduction / 2.1：
Manufacture and States of PET / 2.2：
Manufacture of PET / 2.2.1：
Catalysts / 2.2.2：
PET is a Linear Condensation Polymer / 2.2.3：
Crystallization of PET / 2.2.4：
"Extended Chain" or "Oriented" Crystallization / 2.2.5：
Summary / 2.2.6：
Behavior in the Blow Mold 56 2.3.1 Natural stretch Ratio (or Natural Draw Ratio) / 2.3：
Manufacture of PET Preforms / 2.4：
Drying of PET / 2.4.1：
The Theory of Injection Molding of Preforms / 2.4.2：
Preforms for Single- and Two-stage Processing / 2.5：
Two-stage Process Injection Molding / 2.5.1：
Two-stage Process Blow Molding / 2.5.2：
Single-stage Process / 2.5.3：
Hot Runner Controls / 2.5.4：
Gate Mechanism / 2.5.5：
PET and Infrared Radiation / 2.6：
Practical Guide to Injection Molding of Preforms / 3：
Extrusion and Screw Control / 3.1：
Injection Parameters / 3.2：
Injection Pressure / 3.2.1：
Injection Speed and Time / 3.2.2：
Transition Point / 3.2.3：
Hold Time and Pressure / 3.2.4：
Decompression / 3.2.5：
Cooling Time / 3.2.6：
Gating / 3.2.7：
Postmold Cooling Devices / 3.2.8：
Machine Cycle Improvements / 3.2.9：
Optimizing the Injection Settings / 3.3：
Cycle Time Calculations / 3.4：
Challenges in Thin-wall Molding / 3.5：
Acetaldehyde in PET Bottles / 3.6：
AA Creation / 3.6.1：
AA in Water Bottles / 3.6.2：
AA-level Measurements / 3.6.3：
Injection Tooling / 3.7：
Cooling Issues / 3.8：
Antifreeze / 3.8.1：
Water Flow Balance / 3.8.2：
Tool Wear Issues / 3.9：
Closures for PET Bottles / 4：
Closure History / 4.1：
Closure Functions / 4.1.2：
Different Neck Finishes for Various Applications / 4.2：
Neck Finishes for CSD Bottles / 4.2.1：
Neck Finishes for Still Water Bottles / 4.2.2：
Neck Finishes for Hot-filled Products / 4.2.3：
Necks for Custom Bottles / 4.2.4：
Closure Types / 4.3：
One-piece Closures / 4.3.1：
Two-piece Closures / 4.3.2：
Sports Closures / 4.3.3：
Closures and Shelf Life / 4.3.4：
Multilayer Liners / 4.3.5：
Tamper-evident Bands / 4.4：
Construction Methods / 4.4.1：
Pilfer-proof Rings and Their Construction / 4.4.2：
Resins / 4.5：
Polypropylene / 4.5.1：
High-density Polyethylene / 4.5.2：
Manufacturing Methods / 4.6：
Injection Molding / 4.6.1：
Compression Molding / 4.6.2：
Comparison of TM-CM / 4.6.3：
Economic Guidelines / 4.7：
Test Procedures / 4.8：
Proper Application Test / 4.8.1：
Top-load Vent Test / 4.8.2：
Cold Removal Torque Test / 4.8.3：
Ambient Removal Torque Test / 4.8.4：
Cycle Test at Elevated Temperature / 4.8.5：
Vent/Flow Performance Test / 4.8.6：
Strip Torque Test / 4.8.7：
Carbonation Retention Non-top Load / 4.8.8：
Carbonation Retention at Elevated Temperature / 4.8.9：
Carbonation Retention with Top Load / 4.8.10：
Plastic Ball Impact Test / 4.8.11：
Drop Test / 4.8.12：
General IM Process Parameters for CSD Closures / 4.9：
Injection Time / 4.9.1：
Hold Time / 4.9.2：
Mold Closing and Opening Times / 4.9.3：
Ejection Time and Mold Opening Stroke / 4.9.5：
Plasticizing / 4.9.6：
Delay Times / 4.9.7：
Air Blast / 4.9.8：
Lightweigbing of Bottles and Caps / 4.10：
Lighter Necks / 4.10.1：
Lighter Caps / 4.10.2：
Specific Resins for Closure Production / Appendix A：
Index
Acknowledgments
Editor's Note
Foreword to the Second Edition
93.
ＥＢ
Brandau, Ottmar Brandau, Plastics Design Library.
出版情報:
Elsevier ScienceDirect Books Complete , William Andrew Publishing, 2012
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Acknowledgments
Editor's Note
Foreword to the Second Edition
PET Beverage Bottles / 1：
From the First Idea to the Finished Bottle / 1.1：
Development Over the Past 25-30 Years / 1.1.1：
Starting Point of a Product Development / 1.1.2：
Design Engineering / 1.1.3：
Determination of Bottle Properties / 1.2：
Top Load / 1.2.1：
Internal Pressure / 1.2.2：
Handling Stability / 1.2.3：
Stress Cracking / 1.2.4：
Barrier / 1.2.5：
Generating the First Design in CAD / 1.3：
The Bottle Design Already Exists / 1.3.1：
Creation of a New Design / 1.3.2：
From Shape to Full-Fledged Design for a Dependable Process / 1.4：
From the Ideal to the Real Preform / 1.4.1：
Bottle Design for a Dependable Process / 1.4.2：
Verification of the 3D Design Through Finite-element Simulation / 1.5：
What is FEM? / 1.5.1：
What FEM Can Do / 1.5.2：
What FEM Cannot Do / 1.5.3：
Selection of the Mold Concept to Meet Customer-specific Criteria / 1.6：
Shell Molds / 1.6.1：
Hot-fill Molds / 1.6.2：
Mold Design and Mold Manufacture / 1.7：
Mold Design / 1.7.1：
Mold Making / 1.7.2：
Mold Trials and Examination of Sample Bottles / 1.8：
Mold Trials on Laboratory Machines / 1.8.1：
Process Finding During Mold Trials / 1.8.2：
Laboratory Tests on Sample Bottles / 1.8.3：
PET Preforms / 2：
Introduction / 2.1：
Manufacture and States of PET / 2.2：
Manufacture of PET / 2.2.1：
Catalysts / 2.2.2：
PET is a Linear Condensation Polymer / 2.2.3：
Crystallization of PET / 2.2.4：
"Extended Chain" or "Oriented" Crystallization / 2.2.5：
Summary / 2.2.6：
Behavior in the Blow Mold 56 2.3.1 Natural stretch Ratio (or Natural Draw Ratio) / 2.3：
Manufacture of PET Preforms / 2.4：
Drying of PET / 2.4.1：
The Theory of Injection Molding of Preforms / 2.4.2：
Preforms for Single- and Two-stage Processing / 2.5：
Two-stage Process Injection Molding / 2.5.1：
Two-stage Process Blow Molding / 2.5.2：
Single-stage Process / 2.5.3：
Hot Runner Controls / 2.5.4：
Gate Mechanism / 2.5.5：
PET and Infrared Radiation / 2.6：
Practical Guide to Injection Molding of Preforms / 3：
Extrusion and Screw Control / 3.1：
Injection Parameters / 3.2：
Injection Pressure / 3.2.1：
Injection Speed and Time / 3.2.2：
Transition Point / 3.2.3：
Hold Time and Pressure / 3.2.4：
Decompression / 3.2.5：
Cooling Time / 3.2.6：
Gating / 3.2.7：
Postmold Cooling Devices / 3.2.8：
Machine Cycle Improvements / 3.2.9：
Optimizing the Injection Settings / 3.3：
Cycle Time Calculations / 3.4：
Challenges in Thin-wall Molding / 3.5：
Acetaldehyde in PET Bottles / 3.6：
AA Creation / 3.6.1：
AA in Water Bottles / 3.6.2：
AA-level Measurements / 3.6.3：
Injection Tooling / 3.7：
Cooling Issues / 3.8：
Antifreeze / 3.8.1：
Water Flow Balance / 3.8.2：
Tool Wear Issues / 3.9：
Closures for PET Bottles / 4：
Closure History / 4.1：
Closure Functions / 4.1.2：
Different Neck Finishes for Various Applications / 4.2：
Neck Finishes for CSD Bottles / 4.2.1：
Neck Finishes for Still Water Bottles / 4.2.2：
Neck Finishes for Hot-filled Products / 4.2.3：
Necks for Custom Bottles / 4.2.4：
Closure Types / 4.3：
One-piece Closures / 4.3.1：
Two-piece Closures / 4.3.2：
Sports Closures / 4.3.3：
Closures and Shelf Life / 4.3.4：
Multilayer Liners / 4.3.5：
Tamper-evident Bands / 4.4：
Construction Methods / 4.4.1：
Pilfer-proof Rings and Their Construction / 4.4.2：
Resins / 4.5：
Polypropylene / 4.5.1：
High-density Polyethylene / 4.5.2：
Manufacturing Methods / 4.6：
Injection Molding / 4.6.1：
Compression Molding / 4.6.2：
Comparison of TM-CM / 4.6.3：
Economic Guidelines / 4.7：
Test Procedures / 4.8：
Proper Application Test / 4.8.1：
Top-load Vent Test / 4.8.2：
Cold Removal Torque Test / 4.8.3：
Ambient Removal Torque Test / 4.8.4：
Cycle Test at Elevated Temperature / 4.8.5：
Vent/Flow Performance Test / 4.8.6：
Strip Torque Test / 4.8.7：
Carbonation Retention Non-top Load / 4.8.8：
Carbonation Retention at Elevated Temperature / 4.8.9：
Carbonation Retention with Top Load / 4.8.10：
Plastic Ball Impact Test / 4.8.11：
Drop Test / 4.8.12：
General IM Process Parameters for CSD Closures / 4.9：
Injection Time / 4.9.1：
Hold Time / 4.9.2：
Mold Closing and Opening Times / 4.9.3：
Ejection Time and Mold Opening Stroke / 4.9.5：
Plasticizing / 4.9.6：
Delay Times / 4.9.7：
Air Blast / 4.9.8：
Lightweigbing of Bottles and Caps / 4.10：
Lighter Necks / 4.10.1：
Lighter Caps / 4.10.2：
Specific Resins for Closure Production / Appendix A：
Index
Acknowledgments
Editor's Note
Foreword to the Second Edition
94.
ＥＢ
Claudius Gros
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Graph Theory and Small-World Networks / 1：
Graph Theory and Real-World Networks / 1.1：
The Small-World Effect / 1.1.1：
Basic Graph-Theoretical Concepts / 1.1.2：
Properties of Random Graphs / 1.1.3：
Generalized Random Graphs / 1.2：
Graphs with Arbitrary Degree Distributions / 1.2.1：
Probability Generating Function Formalism / 1.2.2：
Distribution of Component Sizes / 1.2.3：
Robustness of Random Networks / 1.3：
Small-World Models / 1.4：
Scale-Free Graphs / 1.5：
Exercises
Further Reading
Chaos, Bifurcations and Diffusion / 2：
Basic Concepts of Dynamical Systems Theory / 2.1：
The Logistic Map and Deterministic Chaos / 2.2：
Dissipation and Adaption / 2.3：
Dissipative Systems and Strange Attractors / 2.3.1：
Adaptive Systems / 2.3.2：
Diffusion and Transport / 2.4：
Random Walks, Diffusion and Lévy Flights / 2.4.1：
The Langevin Equation and Diffusion / 2.4.2：
Noise-Controlled Dynamics / 2.5：
Stochastic Escape / 2.5.1：
Stochastic Resonance / 2.5.2：
Dynamical Systems with Time Delays / 2.6：
Complexity and Information Theory / 3：
Probability Distribution Functions / 3.1：
The Law of Large Numbers / 3.1.1：
Time Series Characterization / 3.1.2：
Entropy and Information / 3.2：
Information Content of a Real-World Time Series / 3.2.1：
Mutual Information / 3.2.2：
Complexity Measures / 3.3：
Complexity and Predictability / 3.3.1：
Algorithmic and Generative Complexity / 3.3.2：
Random Boolean Networks / 4：
Introduction / 4.1：
Random Variables and Networks / 4.2：
Boolean Variables and Graph Topologies / 4.2.1：
Coupling Functions / 4.2.2：
Dynamics / 4.2.3：
The Dynamics of Boolean Networks / 4.3：
The Flow of Information Through the Network / 4.3.1：
The Mean-Field Phase Diagram / 4.3.2：
The Bifurcation Phase Diagram / 4.3.3：
Scale-Free Boolean Networks / 4.3.4：
Cycles and Attractors / 4.4：
Quenched Boolean Dynamics / 4.4.1：
The K = 1 Kauffman Network / 4.4.2：
The K = 2 Kauffman Network / 4.4.3：
The K = N Kauffman Network / 4.4.4：
Applications / 4.5：
Living at the Edge of Chaos / 4.5.1：
The Yeast Cell Cycle / 4.5.2：
Application to Neural Networks / 4.5.3：
Cellular Automata and Self-Organized Criticality / 5：
The Landau Theory of Phase Transitions / 5.1：
Criticality in Dynamical Systems / 5.2：
1/f Noise / 5.2.1：
Cellular Automata / 5.3：
Conway's Game of Life / 5.3.1：
The Forest Fire Model / 5.3.2：
The Sandpile Model and Self-Organized Criticality / 5.4：
Random Branching Theory / 5.5：
Branching Theory of Self-Organized Criticality / 5.5.1：
Galton-Watson Processes / 5.5.2：
Application to Long-Term Evolution / 5.6：
Darwinian Evolution, Hypercycles and Game Theory / 6：
Mutations and Fitness in a Static Environment / 6.1：
Deterministic Evolution / 6.3：
Evolution Equations / 6.3.1：
Beanbag Genetics - Evolutions Without Epistasis / 6.3.2：
Epistatic Interactions and the Error Catastrophe / 6.3.3：
Finite Populations and Stochastic Escape / 6.4：
Strong Selective Pressure and Adaptive Climbing / 6.4.1：
Adaptive Climbing Versus Stochastic Escape / 6.4.2：
Prebiotic Evolution / 6.5：
Quasispecies Theory / 6.5.1：
Hypercycles and Autocatalytic Networks / 6.5.2：
Coevolution and Game Theory / 6.6：
Synchronization Phenomena / 7：
Frequency Locking / 7.1：
Synchronization of Coupled Oscillators / 7.2：
Synchronization with Time Delays / 7.3：
Synchronization via Aggregate Averaging / 7.4：
Synchronization via Causal Signaling / 7.5：
Synchronization and Object Recognition in Neural Networks / 7.6：
Synchronization Phenomena in Epidemics / 7.7：
Elements of Cognitive Systems Theory / 8：
Foundations of Cognitive Systems Theory / 8.1：
Basic Requirements for the Dynamics / 8.2.1：
Cognitive Information Processing Versus Diffusive Control / 8.2.2：
Basic Layout Principles / 8.2.3：
Learning and Memory Representations / 8.2.4：
Motivation, Benchmarks and Diffusive Emotional Control / 8.3：
Cognitive Tasks / 8.3.1：
Internal Benchmarks / 8.3.2：
Competitive Dynamics and Winning Coalitions / 8.4：
General Considerations / 8.4.1：
Associative Thought Processes / 8.4.2：
Autonomous Online Learning / 8.4.3：
Environmental Model Building / 8.5：
The Elman Simple Recurrent Network / 8.5.1：
Universal Prediction Tasks / 8.5.2：
Solutions / 9：
Solutions to the Exercises of Chapter 1
Solutions to the Exercises of Chapter 2
Solutions to the Exercises of Chapter 3
Solutions to the Exercises of Chapter 4
Solutions to the Exercises of Chapter 5
Solutions to the Exercises of Chapter 6
Solutions to the Exercises of Chapter 7
Solutions to the Exercises of Chapter 8
Index
Graph Theory and Small-World Networks / 1：
Graph Theory and Real-World Networks / 1.1：
The Small-World Effect / 1.1.1：
95.
ＥＢ
Jin-Kuk Kim, Kaushik Pal
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Overview of Wood-Plastic Composites and Uses / 1：
Introduction / 1.1：
Why WPC? / 1.2：
What is Wood? / 1.3：
Molecular Level / 1.3.1：
WPC in Automotive Applications: A Case Study / 1.4：
Impact of WPC on Humanity / 1.5：
Shopping / 1.5.1：
Grocery Cart versus Dent-Resistant Body Panel / 1.5.2：
Packaging / 1.5.3：
Light Weighting / 1.5.4：
Home Construction / 1.5.5：
End Life of WPC / 1.6：
Mechanical Recycling / 1.6.1：
Feedstock Recycling / 1.6.2：
Source Reduction / 1.6.3：
References
Surface Modifications in WPC with Pre-Treatment Methods / 2：
Polymers Used in WPC / 2.1：
High Density Polyethylene (HDPE) / 2.2.1：
Low Density Polyethylene (LDPE) / 2.2.2：
Polyvinyl Chloride (PVC) / 2.2.3：
Polypropylene (PP) / 2.2.4：
Polystyrene (PS) / 2.2.5：
What is Coupling Agents? / 2.3：
Classification of Coupling Agents / 2.4：
Acrylates / 2.4.1：
Amides and Imides / 2.4.2：
Anhydrides / 2.4.3：
Chlorotriazines and its Derivatives / 2.4.4：
Epoxides / 2.4.5：
Isocyanates / 2.4.6：
Grafting of Monomers / 2.4.7：
Polymers and Copolymers / 2.4.8：
Physical Treatments / 2.5：
Forces Involved in Adhesion / 2.5.1：
Mechanism of Adhesion with Respect to WPC / 2.5.2：
Plasma & Corona Treatment / 2.5.3：
Ozone Treatment / 2.5.4：
Chemical Treatments / 2.6：
Steam Explosion / 2.6.1：
Alkali Treatment / 2.6.2：
Stearic Acid and Wax Treatment / 2.6.3：
Some Novel (Enzymatic) Treatments / 2.7：
Process and Machinery Used for WPC / 3：
The Manufacturing Process / 3.1：
Polymer Matrix Composites / 3.2：
Resins / 3.2.1：
Thermosets / 3.2.2：
Thermoplastics / 3.2.3：
Reinforcements / 3.2.4：
Major Processes Involved for Composite Preparation / 3.3：
Description of Shaping Processes / 3.4：
Resin Formulation / 3.4.1：
Prepregging / 3.4.2：
Wet Filament Winding / 3.4.3：
Hand Lay-Up of Prepreg / 3.4.4：
Automated Tape Placement / 3.4.5：
Resin Transfer Molding / 3.4.6：
Pultrusion / 3.4.7：
Vacuum Bagging, Autoclave Cure / 3.4.8：
Operating Variables Affecting WPC Microcellular Foams / 3.5：
Injection Molding / 3.5.1：
Extrusion / 3.5.2：
Rheotens / 3.5.3：
Recent Past about WPC Work / 4：
Wood-fiber/Plastic Composites (WPCs) / 4.1：
Flammability of WPC / 4.2：
Polymeric Foams / 4.3：
Introduction of Polymeric Foams / 4.3.1：
Blowing Agents / 4.3.2：
Procedure / 4.3.3：
Fundamentals in Polymeric Foaming / 4.3.4：
Mechanical Properties / 4.3.5：
Thermoplastic Elastomers Foams / 4.3.6：
Effect of Compatibilizers in WPC Composites / 5：
Preparation PP/Wood-Fiber Composites by Twin Screw Extruder / 5.1：
Blending Process / 5.2.1：
Preparation and Analysis of Wood-Fiber/PP Composite Foams / 5.2.2：
Effect of Screw Configurations / 5.3：
Effect of Screw Speed / 5.4：
Effect of Silica Content / 5.5：
Effect of Various Compatibilizers / 5.6：
Effect of Compatibilizer on Crystallinity / 5.6.1：
Effect of Compatibilizers on Rheological Properties of PP/WF Composites / 5.6.2：
Effect of Compatibilizer on the Mechanical Properties and Morphology of PP/WF Composites / 5.6.3：
Effect of Compatibilizer on the Foaming Properties of PP/WF Composites / 5.6.4：
Flammability in WPC Composites / 6：
Preparation Wood-Fiber/PP Composites by Twin Screw Extruder / 6.1：
Mechanical Properties of PP/Wood Fibre Composites / 6.3：
Flame Retardancy of PP/Wood Fibre Composites / 6.5：
Thermal Degradation of PP/Wood Fibre Composites / 6.6：
Cone Calorimeter Study of PP/Wood Fibre Composites / 6.7：
SEM Morphological Observation / 6.8：
Batch Physical Foaming / 6.9：
Effect of APP and Silica / 6.9.1：
Effect of Saturation Pressure / 6.9.2：
Effect of Saturation Temperature / 6.9.3：
Expanded Wood Polymer Composites / 7：
Chemical Blowing Agents / 7.1：
Super Critical Foaming / 7.3：
Other Techniques / 7.4：
Microcellular Foaming Procedure / 7.5：
Free Foaming Extrusion Process / 7.5.1：
Batch Process / 7.5.2：
Factors and Problems Affecting Foaming of Wood Polymer Composites / 7.5.3：
Wood Plastic Composite Foam Applications / 8：
Wood-Fibre/Plastic Composite Foams (WPCs Foams) / 8.1：
Preparation of Expanded Wood-Fiber/PP Composite Pellet / 8.3：
Preparation of WPC Foamed Board / 8.5：
Effect of Temperature on the Density of WPC Foamed Board / 8.6：
Effect of Pressure on the Density of WPC Foamed Board / 8.7：
Effect of Plate Temperature on the Density of WPC Foamed Board / 8.8：
Conclusions / 9：
Index
Overview of Wood-Plastic Composites and Uses / 1：
Introduction / 1.1：
Why WPC? / 1.2：
96.
図書
Guozhong Cao, Ying Wang
目次情報:
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Preface to the Second Edition
Introduction / Chapter 1：
Emergence of Nanotechnology / 1.1：
Bottom-Up and Top-Down Approaches / 1.3：
Challenges in Nanotechnology / 1.4：
Scope of the Book / 1.5：
References
Physical Chemistry of Solid Surfaces / Chapter 2：
Surface Energy / 2.1：
Chemical Potential as a Function of Surface Curvature / 2.3：
Electrostatic Stabilization / 2.4：
Surface charge density / 2.4.1：
Electric potential at the proximity of solid surface / 2.4.2：
Van der Waals attraction potential / 2.4.3：
Interactions between two particles: DLVO theory / 2.4.4：
Steric Stabilization / 2.5：
Solvent and polymer / 2.5.1：
Interactions between polymer layers / 2.5.2：
Mixed steric and electric interactions / 2.5.3：
Summary / 2.6：
Zero-Dimensional Nanostructures: Nanoparticles / Chapter 3：
Nanoparticles Through Homogeneous Nucleation / 3.1：
Fundamentals of homogeneous nucleation / 3.2.1：
Subsequent growth of nuclei / 3.2.2：
Growth controlled by diffusion / 3.2.2.1：
Growth controlled by surface process / 3.2.2.2：
Synthesis of metallic nanoparticles / 3.2.3：
Influences of reduction reagents / 3.2.3.1：
Influences by other factors / 3.2.3.2：
Influences of polymer stabilizer / 3.2.3.3：
Synthesis of semiconductor nanoparticles / 3.2.4：
Synthesis of oxide nanoparticles / 3.2.5：
Introduction to sol-gel processing / 3.2.5.1：
Forced hydrolysis / 3.2.5.2：
Controlled release of ions / 3.2.5.3：
Vapor phase reactions / 3.2.6：
Solid-state phase segregation / 3.2.7：
Nanoparticles Through Heterogeneous Nucleation / 3.3：
Fundamentals of heterogeneous nucleation / 3.3.1：
Synthesis of nanoparticles / 3.3.2：
Kinetically Confined Synthesis of Nanoparticles / 3.4：
Synthesis inside micelles or using microemulsions / 3.4.1：
Aerosol synthesis / 3.4.2：
Growth termination / 3.4.3：
Spray pyrolysis / 3.4.4：
Template-based synthesis / 3.4.5：
Epitaxial Core-Shell Nanoparticles / 3.5：
One-Dimensional Nanostructures: Nanowires and Nanorods / 3.6：
Spontaneous Growth / 4.1：
Evaporation (dissolution)-condensation growth / 4.2.1：
Fundamentals of evaporation (dissolution)-condensation growth / 4.2.1.1：
Evaporation-condensation growth / 4.2.1.2：
Dissolution-condensation growth / 4.2.1.3：
Vapor (or solution)-liquid-solid (VLS or SLS) growth / 4.2.2：
Fundamental aspects of VLS and SLS growth / 4.2.2.1：
VLS growth of various nanowires / 4.2.2.2：
Control of the size of nanowires / 4.2.2.3：
Precursors and catalysts / 4.2.2.4：
Solution-liquid-solid growth / 4.2.2.5：
Stress-induced recrystallization / 4.2.3：
Template-Based Synthesis / 4.3：
Electrochemical deposition / 4.3.1：
Electrophoretic deposition / 4.3.2：
Template filling / 4.3.3：
Colloidal dispersion filling / 4.3.3.1：
Melt and solution filling / 4.3.3.2：
Chemical vapor deposition / 4.3.3.3：
Deposition by centrifugation / 4.3.3.4：
Converting through chemical reactions / 4.3.4：
Electrospinning / 4.4：
Lithography / 4.5：
Two-Dimensional Nanostructures: Thin Films / 4.6：
Fundamentals of Film Growth / 5.1：
Vacuum Science / 5.3：
Physical Vapor Deposition (PVD) / 5.4：
Evaporation / 5.4.1：
Molecular beam epitaxy (MBE) / 5.4.2：
Sputtering / 5.4.3：
Comparison of evaporation and sputtering / 5.4.4：
Chemical Vapor Deposition (CVD) / 5.5：
Typical chemical reactions / 5.5.1：
Reaction kinetics / 5.5.2：
Transport phenomena / 5.5.3：
CVD methods / 5.5.4：
Diamond films by CVD / 5.5.5：
Atomic Layer Deposition / 5.6：
Superlattices / 5.7：
Self-Assembly / 5.8：
Monolayers of organosilicon or alkylsilane derivatives / 5.8.1：
Monolayers of alkanethiols and sulfides / 5.8.2：
Monolayers of carboxylic acids, amines, and alcohols / 5.8.3：
Langmuir-Blodgett Films / 5.9：
Electrochemical Deposition / 5.10：
Sol-Gel Films / 5.11：
Special Nanomaterials / 5.12：
Carbon Fullerenes and Nanotubes / 6.1：
Carbon fullerenes / 6.2.1：
Fullerene-derived crystals / 6.2.2：
Carbon nanotubes / 6.2.3：
Micro and Mesoporous Materials / 6.3：
Ordered mesoporous structures / 6.3.1：
Random mesoporous structures / 6.3.2：
Crystalline microporous materials: Zeolites / 6.3.3：
Core-Shell Structures / 6.4：
Metal-oxide structures / 6.4.1：
Metal-polymer structures / 6.4.2：
Oxide-polymer nanostructures / 6.4.3：
Organic-Inorganic Hybrids / 6.5：
Class 1 hybrids / 6.5.1：
Class 2 hybrids / 6.5.2：
Intercalation Compounds / 6.6：
Nanocomposites and Nanograined Materials / 6.7：
Inverse Opals / 6.8：
Bio-Induced Nanomaterials / 6.9：
Nanostructures Fabricated by Physical Techniques / 6.10：
Photolithography / 7.1：
Phase-shifting photolithography / 7.2.2：
Electron beam lithography / 7.2.3：
X-ray lithography / 7.2.4：
Focused ion beam (FIB) lithography / 7.2.5：
Neutral atomic beam lithography / 7.2.6：
Nanomanipulation and Nanolithography / 7.3：
Scanning tunneling microscopy (STM) / 7.3.1：
Atomic force microscopy (AFM) / 7.3.2：
Near-field scanning optical microscopy (NSOM) / 7.3.3：
Nanomanipulation / 7.3.4：
Nanolithography / 7.3.5：
Soft Lithography / 7.4：
Microcontact printing / 7.4.1：
Molding / 7.4.2：
Nanoimprint / 7.4.3：
Dip-pen nanolithography / 7.4.4：
Assembly of Nanoparticles and Nanowires / 7.5：
Capillary forces / 7.5.1：
Dispersion interactions / 7.5.2：
Shear-force-assisted assembly / 7.5.3：
Electric-field-assisted assembly / 7.5.4：
Covalently linked assembly / 7.5.5：
Gravitational-field-assisted assembly / 7.5.6：
Template-assisted assembly / 7.5.7：
Other Methods for Microfabrication / 7.6：
Characterization and Properties of Nanomaterials / 7.7：
Structural Characterization / 8.1：
X-ray diffraction (XRD) / 8.2.1：
Small angle X-ray scattering (SAXS) / 8.2.2：
Scanning electron microscopy (SEM) / 8.2.3：
Transmission electron microscopy (TEM) / 8.2.4：
Scanning probe microscopy (SPM) / 8.2.5：
Gas adsorption / 8.2.6：
Chemical Characterization / 8.3：
Optical spectroscopy / 8.3.1：
Electron spectroscopy / 8.3.2：
Ion spectrometry / 8.3.3：
Physical Properties of Nanomaterials / 8.4：
Melting points and lattice constants / 8.4.1：
Mechanical properties / 8.4.2：
Optical properties / 8.4.3：
Surface plasmon resonance / 8.4.3.1：
Quantum size effects / 8.4.3.2：
Electrical conductivity / 8.4.4：
Surface scattering / 8.4.4.1：
Change of electronic structure / 8.4.4.2：
Quantum transport / 8.4.4.3：
Effect of microstructure / 8.4.4.4：
Ferroelectrics and dielectrics / 8.4.5：
Superparamagnetism / 8.4.6：
Applications of Nanomaterials / 8.5：
Molecular Electronics and Nanoelectronics / 9.1：
Nanobots / 9.3：
Biological Applications of Nanoparticles / 9.4：
Catalysis by Gold Nanoparticles / 9.5：
Bandgap Engineered Quantum Devices / 9.6：
Quantum well devices / 9.6.1：
Quantum dot devices / 9.6.2：
Nanomechanics / 9.7：
Carbon Nanotube Emitters / 9.8：
Energy Applications of Nanomaterials / 9.9：
Photoelectrochemical cells / 9.9.1：
Lithium-ion rechargeable batteries / 9.9.2：
Hydrogen storage / 9.9.3：
Thermoelectrics / 9.9.4：
Environmental Applications of Nanomaterials / 9.10：
Photonic Crystals and Plasmon Waveguides / 9.11：
Photonic crystals / 9.11.1：
Plasmon waveguides / 9.11.2：
Appendices / 9.12：
Index
Preface to the Second Edition
Introduction / Chapter 1：
Emergence of Nanotechnology / 1.1：
97.
ＥＢ
Berrou, Claude Berrou
出版情報:
Springer eBooks Computer Science , Springer Paris, 2010
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Contributors
Foreword
Introduction / 1：
Digital messages / 1.1：
A first code / 1.2：
Hard input decoding and soft input decoding / 1.3：
Hard output decoding and soft output decoding / 1.4：
The performance measure / 1.5：
What is a good code? / 1.6：
Families of codes / 1.7：
Digital communications / 2：
Digital Modulations / 2.1：
Linear Memoryless Modulations / 2.1.1：
Memoryless modulation with M states (M-FSK) / 2.1.3：
Modulations with memory by continuous phase frequency shift keying (CPFSK) / 2.1.4：
Structure and performance of the optimal receiver on a Gaussian channel / 2.2：
Structure of the coherent receiver / 2.2.1：
Performance of the coherent receiver / 2.2.2：
Transmission on a band-limited channel / 2.3：
Intersymbol interference / 2.3.1：
Condition of absence of ISI: Nyquist criterion / 2.3.3：
Expression of the error probability in presence of Nyquist filtering / 2.3.4：
Transmission on fading channels / 2.4：
Characterization of a fading channel / 2.4.1：
Transmission on non-frequency-selective slow-fading channels / 2.4.2：
Theoretical limits / 3：
Information theory / 3.1：
Transmission channel / 3.1.1：
An example: the binary symmetric channel / 3.1.2：
Overview of the fundamental coding theorem / 3.1.3：
Geometrical interpretation / 3.1.4：
Random coding / 3.1.5：
Theoretical limits to performance / 3.2：
Binary input and real output channel / 3.2.1：
Capacity of a transmission channel / 3.2.2：
Practical limits to performance / 3.3：
Gaussian binary input channel / 3.3.1：
Gaussian continuous input channel / 3.3.2：
Some examples of limits / 3.3.3：
Minimum distances required / 3.4：
MHD required with 4-PSK modulation / 3.4.1：
MHD required with 8-PSK modulation / 3.4.2：
MHD required with 16-QAM modulation / 3.4.3：
Bibliography
Block codes / 4：
Block codes with binary symbols / 4.1：
Generator matrix of a binary block code / 4.1.1：
Dual code and parity check matrix / 4.1.2：
Minimum distance / 4.1.3：
Extended codes and shortened codes / 4.1.4：
Product codes / 4.1.5：
Examples of binary block codes / 4.1.6：
Cyclic codes / 4.1.7：
Block codes with non-binary symbols / 4.2：
Reed-Solomon codes / 4.2.1：
Implementing the encoder / 4.2.2：
Decoding and performance of codes with binary symbols / 4.3：
Error detection / 4.3.1：
Error correction / 4.3.2：
Decoding and performance of codes with non-binary symbols / 4.4：
Hard input decoding of Reed-Solomon codes / 4.4.1：
Peterson's direct method / 4.4.2：
Iterative method / 4.4.3：
Hard input decoding performance of Reed-Solomon codes / 4.4.4：
Appendix: Notions about Galois fields and minimal polynomials
Convolutional codes and their decoding / 5：
History / 5.1：
Representations of convolutional codes / 5.2：
Generic representation of a convolutional encoder / 5.2.1：
Polynomial representation / 5.2.2：
Tree of a code / 5.2.3：
Trellis of a code / 5.2.4：
State machine of a code / 5.2.5：
Code distances and performance / 5.3：
Choosing a good code / 5.3.1：
RTZ sequences / 5.3.2：
Transfer function and distance spectrum / 5.3.3：
Performance / 5.3.4：
Decoding convolutional codes / 5.4：
Model of the transmission chain and notations / 5.4.1：
The Viterbi algorithm / 5.4.2：
The Maximum A Posteriori algorithm or MAP algorithm / 5.4.3：
Convolutional block codes / 5.5：
Trellis termination / 5.5.1：
Puncturing / 5.5.2：
Concatenated codes / 6：
Parallel concatenation and serial concatenation / 6.1：
Parallel concatenation and LDPC codes / 6.2：
Permutations / 6.3：
Turbo crossword / 6.4：
Convolutional turbo codes / 7：
The history of turbo codes / 7.1：
Multiple concatenation of RSC codes / 7.2：
Turbo codes / 7.3：
Termination of constituent codes / 7.3.1：
The permutation function / 7.3.2：
Decoding turbo codes / 7.4：
Turbo decoding / 7.4.1：
SISO decoding and extrinsic information / 7.4.2：
Practical considerations / 7.4.3：
m-binary turbo codes / 7.5：
m-binary RSC encoders / 7.5.1：
Analysis tools / 7.5.2：
Theoretical performance / 7.6.1：
Asymptotic behaviour / 7.6.2：
Convergence / 7.6.3：
Turbo product codes / 8：
Hard input decoding of product codes / 8.1：
Row-column decoding / 8.3.1：
The Reddy-Robinson algorithm / 8.3.2：
Soft input decoding of product codes / 8.4：
The Chase algorithm with weighted input / 8.4.1：
Performance of the Chase-Pyndiah algorithm / 8.4.2：
The Fang-Battail algorithm / 8.4.3：
The Hartmann-Nazarov algorithm / 8.4.4：
Other soft input decoding algorithms / 8.4.5：
Implantation of the Chase-Pyndiah algorithm / 8.5：
LDPC codes / 9：
Principle of LDPC codes / 9.1：
Parity check code / 9.1.1：
Definition of an LDPC code / 9.1.2：
Encoding / 9.1.3：
Decoding LDPC codes / 9.1.4：
Random construction of LDPC codes / 9.1.5：
Some geometrical constructions of LDPC codes / 9.1.6：
Architecture for decoding LDPC codes for the Gaussian channel / 9.2：
Analysis of the complexity / 9.2.1：
Architecture of a generic node processor (GNP) / 9.2.2：
Generic architecture for message propagation / 9.2.3：
Combining parameters of the architecture / 9.2.4：
Example of synthesis of an LDPC decoder architecture / 9.2.5：
Sub-optimal decoding algorithm / 9.2.6：
Influence of quantization / 9.2.7：
State of the art of published LDPC decoder architectures / 9.2.8：
Turbo codes and large spectral efficiency transmissions / 10：
Turbo trellis coded modulation (TTCM) / 10.1：
Pragmatic turbo coded modulation / 10.2：
The turbo principle applied to equalization and detection / 11：
Turbo equalization / 11.1：
Multipath channels and intersymbol interference / 11.1.1：
The equalization function / 11.1.2：
Combining equalization and decoding / 11.1.3：
Principle of turbo equalization / 11.1.4：
MAP turbo equalization / 11.1.5：
MMSE turbo equalization / 11.1.6：
Multi-user turbo detection and its application to CDMA systems / 11.2：
Introduction and some notations / 11.2.1：
Multi-user detection / 11.2.2：
Turbo CDMA / 11.2.3：
Conclusions / 11.3：
Index
Contributors
Foreword
Introduction / 1：
98.
ＥＢ
Mumtaz Siddiqui, Thomas Fahringer, Takeo Kanade
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2010
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Overview / Part I：
Introduction / 1：
Motivation / 1.1：
Collaboration Instead of Isolation / 1.1.1：
Discovery and Selection / 1.1.2：
Lifecycle Management / 1.1.3：
On-Demand Provisioning / 1.1.4：
Role of Planning / 1.1.5：
Service-Level Agreement / 1.1.6：
Optimized Resource Allocation / 1.1.7：
Synthesis and Aggregation / 1.1.8：
Grid Enablement / 1.1.9：
Portability / 1.1.10：
Semantics in the Grid / 1.1.11：
Research Goals / 1.2：
Automatic Resource Brokerage / 1.2.1：
Dynamic Registration and Automatic Deployment / 1.2.2：
Advance Reservation and Co-allocation / 1.2.3：
Capacity Management and Planning / 1.2.4：
Standard Adaptation / 1.2.5：
Organization / 1.3：
Part 1: Overview / 1.3.1：
Part 2: Brokerage / 1.3.2：
Part 3: Planning / 1.3.3：
Part 4: Semantics / 1.3.4：
Part 5: Conclusion / 1.3.5：
Appendices / 1.3.6：
Model / 2：
The Grid / 2.1：
Characteristics / 2.1.1：
Layers / 2.1.2：
Architectures / 2.1.3：
Resources and Applications / 2.2：
Activities / 2.2.1：
Workflows / 2.2.2：
Grid Node / 2.2.3：
Grid Operating Environment / 2.3：
Open Grid Services Architecture / 2.3.1：
WS-Resource Framework / 2.3.2：
Globus Toolkit / 2.3.3：
Askalon: A Grid Runtime Environment / 2.4：
Workflow Composition / 2.4.1：
Resource Management / 2.4.2：
Workflow Scheduling / 2.4.3：
Workflow Enactment / 2.4.4：
Performance Prediction and Analysis / 2.4.5：
Semantic Grid / 2.5：
Ontology / 2.5.1：
Web Ontology Language / 2.5.2：
Ontology Query Language / 2.5.3：
Provisioning / 2.6：
Allocation Negotiation / 2.6.2：
Capacity Planning / 2.6.3：
Manageability Models / 2.6.4：
Summary / 2.7：
Brokerage / Part II：
Grid Resource Management and Brokerage System / 3：
Architectural Overview / 3.1：
Node Management / 3.2.1：
Activity Management / 3.2.3：
Allocation Management / 3.2.4：
System Model / 3.3：
Resource Discoverer / 3.3.1：
Candidate Set Generator / 3.3.2：
Resource Synthesizer / 3.3.3：
Resource Selector / 3.3.4：
A Steady System with Proportional Distribution / 3.3.5：
Implementation / 3.4：
Customization / 3.4.1：
Superpeer / 3.4.2：
Experiments and Evaluation / 3.4.3：
Related Work / 3.6：
Grid Activity Registration, Deployment and Provisioning Framework / 3.7：
On-Demand Provisioning Motivation / 4.1：
An Example Using Bare Grid / 4.2.1：
GLARE-Based Solution / 4.2.2：
Activity Manager / 4.3：
Deployment Manager / 4.3.2：
Activity Type Registry / 4.3.3：
Activity Deployment Registry / 4.3.4：
Automatic Deployment Using Expect / 4.4：
Static and Dynamic Registration / 4.4.2：
Self-Management and Fault Tolerance / 4.4.3：
Planning / 4.5：
Allocation Management with Advance Reservation and Service-Level Agreement / 5：
Agreement / 5.1：
Agreement Lifecycle / 5.2.2：
Negotiation / 5.3：
Attentive Allocation / 5.3.1：
Progressive Allocation / 5.3.2：
Share-Based Allocation / 5.3.3：
Allocator / 5.4：
Co-allocator / 5.4.2：
Agreement Enforcement / 5.4.3：
Priority Provision / 5.4.4：
Standards Adaptation / 5.4.5：
Optimizing Multi-Constrained Allocations with Capacity Planning / 5.5：
Allocation Problem / 6.1：
Multi-Constrained Optimization / 6.2.2：
Negotiation Protocol / 6.3：
Allocation Offer Generation / 6.3.1：
Co-allocation Offer Generation / 6.3.2：
Contention Elimination / 6.3.3：
Cost Model / 6.3.4：
Semantics / 6.4：
Semantics in the Grid: Towards Ontology-Based Resource Provisioning / 7：
Describing Resources with Semantics / 7.1：
Concept Description / 7.2.1：
Architectural Extension / 7.3：
Resource Ontologies / 7.4：
Physical Resource Ontology / 7.4.1：
Resource Ensembles / 7.4.2：
Logical Resource Ontology / 7.4.3：
Discovering Resources with Semantics / 7.5：
Subsumption-Based Resource Matching / 7.6：
Evaluation / 7.7：
Subsumption: An Example / 7.7.1：
Semantics-Based Activity Synthesis: Improving On-Demand Provisioning and Planning / 7.8：
Synthesis Model / 8.1：
Ontology Rules / 8.3.1：
Activity Synthesis Problem / 8.3.2：
Applying Patterns for Activity Synthesis / 8.4：
Sequential Flow Patterns / 8.4.1：
Parallel Flow Patterns / 8.4.2：
Built-Ins and Constraints / 8.5：
Assumptions and Effects / 8.5.2：
Improving Capacity Planning / 8.6：
Discussion and Experiments / 8.7：
Conclusion / 8.8：
Resource Management Model / 9：
Towards Automatic Resource Management / 9.2：
Negotiation for Service-Level Agreement (SLA) / 9.3：
Multi-Constrained Optimization and Capacity Planning / 9.5：
Future Research / 9.6：
A Notations
References
Index
Overview / Part I：
Introduction / 1：
Motivation / 1.1：
99.
ＥＢ
Mumtaz Siddiqui, Thomas Fahringer, Takeo Kanade, Josef Kittler
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2010
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Overview / Part I：
Introduction / 1：
Motivation / 1.1：
Collaboration Instead of Isolation / 1.1.1：
Discovery and Selection / 1.1.2：
Lifecycle Management / 1.1.3：
On-Demand Provisioning / 1.1.4：
Role of Planning / 1.1.5：
Service-Level Agreement / 1.1.6：
Optimized Resource Allocation / 1.1.7：
Synthesis and Aggregation / 1.1.8：
Grid Enablement / 1.1.9：
Portability / 1.1.10：
Semantics in the Grid / 1.1.11：
Research Goals / 1.2：
Automatic Resource Brokerage / 1.2.1：
Dynamic Registration and Automatic Deployment / 1.2.2：
Advance Reservation and Co-allocation / 1.2.3：
Capacity Management and Planning / 1.2.4：
Standard Adaptation / 1.2.5：
Organization / 1.3：
Part 1: Overview / 1.3.1：
Part 2: Brokerage / 1.3.2：
Part 3: Planning / 1.3.3：
Part 4: Semantics / 1.3.4：
Part 5: Conclusion / 1.3.5：
Appendices / 1.3.6：
Model / 2：
The Grid / 2.1：
Characteristics / 2.1.1：
Layers / 2.1.2：
Architectures / 2.1.3：
Resources and Applications / 2.2：
Activities / 2.2.1：
Workflows / 2.2.2：
Grid Node / 2.2.3：
Grid Operating Environment / 2.3：
Open Grid Services Architecture / 2.3.1：
WS-Resource Framework / 2.3.2：
Globus Toolkit / 2.3.3：
Askalon: A Grid Runtime Environment / 2.4：
Workflow Composition / 2.4.1：
Resource Management / 2.4.2：
Workflow Scheduling / 2.4.3：
Workflow Enactment / 2.4.4：
Performance Prediction and Analysis / 2.4.5：
Semantic Grid / 2.5：
Ontology / 2.5.1：
Web Ontology Language / 2.5.2：
Ontology Query Language / 2.5.3：
Provisioning / 2.6：
Allocation Negotiation / 2.6.2：
Capacity Planning / 2.6.3：
Manageability Models / 2.6.4：
Summary / 2.7：
Brokerage / Part II：
Grid Resource Management and Brokerage System / 3：
Architectural Overview / 3.1：
Node Management / 3.2.1：
Activity Management / 3.2.3：
Allocation Management / 3.2.4：
System Model / 3.3：
Resource Discoverer / 3.3.1：
Candidate Set Generator / 3.3.2：
Resource Synthesizer / 3.3.3：
Resource Selector / 3.3.4：
A Steady System with Proportional Distribution / 3.3.5：
Implementation / 3.4：
Customization / 3.4.1：
Superpeer / 3.4.2：
Experiments and Evaluation / 3.4.3：
Related Work / 3.6：
Grid Activity Registration, Deployment and Provisioning Framework / 3.7：
On-Demand Provisioning Motivation / 4.1：
An Example Using Bare Grid / 4.2.1：
GLARE-Based Solution / 4.2.2：
Activity Manager / 4.3：
Deployment Manager / 4.3.2：
Activity Type Registry / 4.3.3：
Activity Deployment Registry / 4.3.4：
Automatic Deployment Using Expect / 4.4：
Static and Dynamic Registration / 4.4.2：
Self-Management and Fault Tolerance / 4.4.3：
Planning / 4.5：
Allocation Management with Advance Reservation and Service-Level Agreement / 5：
Agreement / 5.1：
Agreement Lifecycle / 5.2.2：
Negotiation / 5.3：
Attentive Allocation / 5.3.1：
Progressive Allocation / 5.3.2：
Share-Based Allocation / 5.3.3：
Allocator / 5.4：
Co-allocator / 5.4.2：
Agreement Enforcement / 5.4.3：
Priority Provision / 5.4.4：
Standards Adaptation / 5.4.5：
Optimizing Multi-Constrained Allocations with Capacity Planning / 5.5：
Allocation Problem / 6.1：
Multi-Constrained Optimization / 6.2.2：
Negotiation Protocol / 6.3：
Allocation Offer Generation / 6.3.1：
Co-allocation Offer Generation / 6.3.2：
Contention Elimination / 6.3.3：
Cost Model / 6.3.4：
Semantics / 6.4：
Semantics in the Grid: Towards Ontology-Based Resource Provisioning / 7：
Describing Resources with Semantics / 7.1：
Concept Description / 7.2.1：
Architectural Extension / 7.3：
Resource Ontologies / 7.4：
Physical Resource Ontology / 7.4.1：
Resource Ensembles / 7.4.2：
Logical Resource Ontology / 7.4.3：
Discovering Resources with Semantics / 7.5：
Subsumption-Based Resource Matching / 7.6：
Evaluation / 7.7：
Subsumption: An Example / 7.7.1：
Semantics-Based Activity Synthesis: Improving On-Demand Provisioning and Planning / 7.8：
Synthesis Model / 8.1：
Ontology Rules / 8.3.1：
Activity Synthesis Problem / 8.3.2：
Applying Patterns for Activity Synthesis / 8.4：
Sequential Flow Patterns / 8.4.1：
Parallel Flow Patterns / 8.4.2：
Built-Ins and Constraints / 8.5：
Assumptions and Effects / 8.5.2：
Improving Capacity Planning / 8.6：
Discussion and Experiments / 8.7：
Conclusion / 8.8：
Resource Management Model / 9：
Towards Automatic Resource Management / 9.2：
Negotiation for Service-Level Agreement (SLA) / 9.3：
Multi-Constrained Optimization and Capacity Planning / 9.5：
Future Research / 9.6：
A Notations
References
Index
Overview / Part I：
Introduction / 1：
Motivation / 1.1：
100.
ＥＢ
Berrou, Claude Berrou
出版情報:
SpringerLink Books - AutoHoldings , Springer Paris, 2010
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Contributors
Foreword
Introduction / 1：
Digital messages / 1.1：
A first code / 1.2：
Hard input decoding and soft input decoding / 1.3：
Hard output decoding and soft output decoding / 1.4：
The performance measure / 1.5：
What is a good code? / 1.6：
Families of codes / 1.7：
Digital communications / 2：
Digital Modulations / 2.1：
Linear Memoryless Modulations / 2.1.1：
Memoryless modulation with M states (M-FSK) / 2.1.3：
Modulations with memory by continuous phase frequency shift keying (CPFSK) / 2.1.4：
Structure and performance of the optimal receiver on a Gaussian channel / 2.2：
Structure of the coherent receiver / 2.2.1：
Performance of the coherent receiver / 2.2.2：
Transmission on a band-limited channel / 2.3：
Intersymbol interference / 2.3.1：
Condition of absence of ISI: Nyquist criterion / 2.3.3：
Expression of the error probability in presence of Nyquist filtering / 2.3.4：
Transmission on fading channels / 2.4：
Characterization of a fading channel / 2.4.1：
Transmission on non-frequency-selective slow-fading channels / 2.4.2：
Theoretical limits / 3：
Information theory / 3.1：
Transmission channel / 3.1.1：
An example: the binary symmetric channel / 3.1.2：
Overview of the fundamental coding theorem / 3.1.3：
Geometrical interpretation / 3.1.4：
Random coding / 3.1.5：
Theoretical limits to performance / 3.2：
Binary input and real output channel / 3.2.1：
Capacity of a transmission channel / 3.2.2：
Practical limits to performance / 3.3：
Gaussian binary input channel / 3.3.1：
Gaussian continuous input channel / 3.3.2：
Some examples of limits / 3.3.3：
Minimum distances required / 3.4：
MHD required with 4-PSK modulation / 3.4.1：
MHD required with 8-PSK modulation / 3.4.2：
MHD required with 16-QAM modulation / 3.4.3：
Bibliography
Block codes / 4：
Block codes with binary symbols / 4.1：
Generator matrix of a binary block code / 4.1.1：
Dual code and parity check matrix / 4.1.2：
Minimum distance / 4.1.3：
Extended codes and shortened codes / 4.1.4：
Product codes / 4.1.5：
Examples of binary block codes / 4.1.6：
Cyclic codes / 4.1.7：
Block codes with non-binary symbols / 4.2：
Reed-Solomon codes / 4.2.1：
Implementing the encoder / 4.2.2：
Decoding and performance of codes with binary symbols / 4.3：
Error detection / 4.3.1：
Error correction / 4.3.2：
Decoding and performance of codes with non-binary symbols / 4.4：
Hard input decoding of Reed-Solomon codes / 4.4.1：
Peterson's direct method / 4.4.2：
Iterative method / 4.4.3：
Hard input decoding performance of Reed-Solomon codes / 4.4.4：
Appendix: Notions about Galois fields and minimal polynomials
Convolutional codes and their decoding / 5：
History / 5.1：
Representations of convolutional codes / 5.2：
Generic representation of a convolutional encoder / 5.2.1：
Polynomial representation / 5.2.2：
Tree of a code / 5.2.3：
Trellis of a code / 5.2.4：
State machine of a code / 5.2.5：
Code distances and performance / 5.3：
Choosing a good code / 5.3.1：
RTZ sequences / 5.3.2：
Transfer function and distance spectrum / 5.3.3：
Performance / 5.3.4：
Decoding convolutional codes / 5.4：
Model of the transmission chain and notations / 5.4.1：
The Viterbi algorithm / 5.4.2：
The Maximum A Posteriori algorithm or MAP algorithm / 5.4.3：
Convolutional block codes / 5.5：
Trellis termination / 5.5.1：
Puncturing / 5.5.2：
Concatenated codes / 6：
Parallel concatenation and serial concatenation / 6.1：
Parallel concatenation and LDPC codes / 6.2：
Permutations / 6.3：
Turbo crossword / 6.4：
Convolutional turbo codes / 7：
The history of turbo codes / 7.1：
Multiple concatenation of RSC codes / 7.2：
Turbo codes / 7.3：
Termination of constituent codes / 7.3.1：
The permutation function / 7.3.2：
Decoding turbo codes / 7.4：
Turbo decoding / 7.4.1：
SISO decoding and extrinsic information / 7.4.2：
Practical considerations / 7.4.3：
m-binary turbo codes / 7.5：
m-binary RSC encoders / 7.5.1：
Analysis tools / 7.5.2：
Theoretical performance / 7.6.1：
Asymptotic behaviour / 7.6.2：
Convergence / 7.6.3：
Turbo product codes / 8：
Hard input decoding of product codes / 8.1：
Row-column decoding / 8.3.1：
The Reddy-Robinson algorithm / 8.3.2：
Soft input decoding of product codes / 8.4：
The Chase algorithm with weighted input / 8.4.1：
Performance of the Chase-Pyndiah algorithm / 8.4.2：
The Fang-Battail algorithm / 8.4.3：
The Hartmann-Nazarov algorithm / 8.4.4：
Other soft input decoding algorithms / 8.4.5：
Implantation of the Chase-Pyndiah algorithm / 8.5：
LDPC codes / 9：
Principle of LDPC codes / 9.1：
Parity check code / 9.1.1：
Definition of an LDPC code / 9.1.2：
Encoding / 9.1.3：
Decoding LDPC codes / 9.1.4：
Random construction of LDPC codes / 9.1.5：
Some geometrical constructions of LDPC codes / 9.1.6：
Architecture for decoding LDPC codes for the Gaussian channel / 9.2：
Analysis of the complexity / 9.2.1：
Architecture of a generic node processor (GNP) / 9.2.2：
Generic architecture for message propagation / 9.2.3：
Combining parameters of the architecture / 9.2.4：
Example of synthesis of an LDPC decoder architecture / 9.2.5：
Sub-optimal decoding algorithm / 9.2.6：
Influence of quantization / 9.2.7：
State of the art of published LDPC decoder architectures / 9.2.8：
Turbo codes and large spectral efficiency transmissions / 10：
Turbo trellis coded modulation (TTCM) / 10.1：
Pragmatic turbo coded modulation / 10.2：
The turbo principle applied to equalization and detection / 11：
Turbo equalization / 11.1：
Multipath channels and intersymbol interference / 11.1.1：
The equalization function / 11.1.2：
Combining equalization and decoding / 11.1.3：
Principle of turbo equalization / 11.1.4：
MAP turbo equalization / 11.1.5：
MMSE turbo equalization / 11.1.6：
Multi-user turbo detection and its application to CDMA systems / 11.2：
Introduction and some notations / 11.2.1：
Multi-user detection / 11.2.2：
Turbo CDMA / 11.2.3：
Conclusions / 11.3：
Index
Contributors
Foreword
Introduction / 1：
ＥＢ
図書
