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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目次情報:
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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：
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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所蔵情報:
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目次情報:
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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.
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：
7.
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：
8.
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：
9.
ＥＢ
Dieter Fensel, Federico Michele Facca, Elena Simperl, Ioan Toma
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
子書誌情報:
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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：
10.
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：
11.
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：
12.
ＥＢ
Hern??ndez-cordero
出版情報:
SPIE Digital Library Proceedings , 2010
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13.
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：
14.
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：
15.
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：
16.
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：
17.
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：
18.
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：
19.
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：
20.
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
21.
ＥＢ
Mathias Kolle
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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：
22.
ＥＢ
Roberto Baragona, Francesco Battaglia, Irene Poli
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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：
23.
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：
24.
ＥＢ
Shaogang Gong, Tao Xiang
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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：
25.
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
26.
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：
27.
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：
28.
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：
29.
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：
30.
ＥＢ
Gerald Kowalski
出版情報:
SpringerLink Books - AutoHoldings , 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：
31.
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：
32.
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：
33.
ＥＢ
出版情報:
AIP Conference Proceedings (American Institute of Physics) , AIP Publishing, 2011
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出版情報:
AIP Conference Proceedings (American Institute of Physics) , AIP Publishing, 2018
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35.
ＥＢ
出版情報:
ASME Digital Collection Conference Proceedings , ASME, 2015
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36.
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：
37.
ＥＢ
Ryuji Okazaki
出版情報:
SpringerLink Books - AutoHoldings , Springer Japan, 2013
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38.
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：
39.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Standards , IEEE, 2015
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40.
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出版情報:
IEEE Electronic Library (IEL) Standards , IEEE, 2015
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41.
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出版情報:
IEEE Electronic Library (IEL) Standards , IEEE, 2010
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42.
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出版情報:
IEEE Electronic Library (IEL) Standards , IEEE, 2013
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43.
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出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2011
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44.
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出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2018
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45.
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出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2017
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46.
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出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2017
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47.
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出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2019
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48.
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出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2017
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49.
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出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2018
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50.
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出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2013
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51.
ＥＢ
Dagmar Bruss, Gerd Leuchs
出版情報:
Wiley Online Library - AutoHoldings Books , John Wiley & Sons, Inc., 2019
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52.
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Leo J. Grady, Jonathan R. Polimeni
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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：
53.
ＥＢ
Leo J. Grady, Jonathan R. Polimeni
出版情報:
SpringerLink Books - AutoHoldings , 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：
54.
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：
55.
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：
56.
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：
57.
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
58.
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
59.
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：
60.
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
61.
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：
62.
ＥＢ
Liyang Yu
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
子書誌情報:
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所蔵情報:
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目次情報:
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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：
63.
ＥＢ
Lev Mikhailovich Blinov
出版情報:
SpringerLink Books - AutoHoldings , Springer Netherlands, 2011
子書誌情報:
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所蔵情報:
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目次情報:
続きを見る
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：
64.
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：
65.
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：
66.
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：
67.
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：
68.
ＥＢ
Hamid Bentarzi
出版情報:
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：
69.
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：
70.
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
71.
ＥＢ
John Harnad, John P. Harnad
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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：
72.
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
73.
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
74.
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：
75.
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：
76.
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：
77.
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：
78.
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：
79.
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：
80.
ＥＢ
Hajer Bahouri, Jean-Yves Chemin, Raphaël Danchin
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Basic Analysis / 1：
Basic Real Anslysis / 1.1：
Holder and Convolution Inequslities / 1.1.1：
The Atomic Decomposition / 1.1.2：
Proof of Refined Young Inequslityp8 / 1.1.3：
A Bilinear Interpolation Theorem / 1.1.4：
A Linear Interpolation Result / 1.1.5：
The Hardy-Littlewood Maximal Function / 1.1.6：
The Fourier Transform / 1.2：
Fourier Transforms of Functions and the Schwartz Space / 1.2.1：
Tempered Distributions and the Fourier Transform / 1.2.2：
A Few Calculations of Fourier Transforms / 1.2.3：
Homogeneous Sobolev Spaces / 1.3：
Definition and Basic Properties / 1.3.1：
Sobolev Embedding in Lebesgue Spaces / 1.3.2：
The Limit Case Hd/2 / 1.3.3：
The Embedding Theorem in Hölder Spaces / 1.3.4：
Nonhomogeneous Sobolev Spaces on Rd / 1.4：
Embedding / 1.4.1：
A Density Theorem / 1.4.3：
Hardy Inequality / 1.4.4：
References and Remarks / 1.5：
Littlewood-Paley Theory / 2：
Functions with Compactly Supported Fourier Transforms / 2.1：
Bernstein-Type Lemmas / 2.1.1：
The Smoothing Effect of Heat Flow / 2.1.2：
The Action of a Diffeomorphism / 2.1.3：
The Effects of Some Nonlinear Functions / 2.1.4：
Dyadic Partition of Unity / 2.2：
Homogeneous Besov Spaces / 2.3：
Characterizations of Homogeneous Besov Spaces / 2.4：
Besov Spaces, Lebesgue Spaces, and Refined Inequalities / 2.5：
Homogeneous Paradifferential Calculus / 2.6：
Homogeneous Bony Decomposition / 2.6.1：
Action of Smooth Functions / 2.6.2：
Time-Space Besov Spaces / 2.6.3：
Nonhomogeneous Besov Spaces / 2.7：
Nonhomogeneous Paradifferential Calculus / 2.8：
The Bony Decomposition / 2.8.1：
The Paralinearization Theorem / 2.8.2：
Besov Spaces and Compact Embeddings / 2.9：
Commutator Estimates / 2.10：
Around the Space B&infty;,&infty; 1 / 2.11：
Transport and Transport-Diffusion Equations / 2.12：
Ordinary Differential Equations / 3.1：
The Cauchy-Lipschitz Theorem Revisited / 3.1.1：
Estimates for the Flow / 3.1.2：
A Blow-up Criterion for Ordinary Differential Equations / 3.1.3：
Transport Equations: The Lipschitz Case / 3.2：
A Priori Estimates in General Besov Spaces / 3.2.1：
Refined Estimates in Besov Spaces with Index 0 / 3.2.2：
Solving the Transport Equation in Besov Spaces / 3.2.3：
Application to a Shallow Water Equation / 3.2.4：
Losing Estimates for Transport Equations / 3.3：
Linear Loss of Regularity in Besov Spaces / 3.3.1：
The Exponential Loss / 3.3.2：
Limited Loss of Regularity / 3.3.3：
A Few Applications / 3.3.4：
Transport-Diffusion Equations / 3.4：
A Priori Estimates / 3.4.1：
Exponential Decay / 3.4.2：
Quasilinear Symmetric Systems / 3.5：
Definition and Examples / 4.1：
Linear Symmetric Systems / 4.2：
The Well-posedness of Linear Symmetric Systems / 4.2.1：
Finite Propagation Speed / 4.2.2：
Further Well-posedness Results for Linear Symmetric Systems / 4.2.3：
The Resolution of Quasilinear Symmetric Systems / 4.3：
Paralinearization and Energy Estimates / 4.3.1：
Convergence of the Scheme / 4.3.2：
Completion of the Proof of Existence / 4.3.3：
Uniqueness and Continuation Criterion / 4.3.4：
Data with Critical Regularity and Blow-up Criteria / 4.4：
Critical Besov Regularity / 4.4.1：
A Refined Blow-up Crndition / 4.4.2：
Continuity of the Flow Map / 4.5：
The Incompressible Navier-Stokes System / 4.6：
Basic Facts Concerning the Navier-Stokes System / 5.1：
Well-posedness in Sobolev Spaces / 5.2：
A General Result / 5.2.1：
The Behavior of the Hd/2-1 Norm Near 0 / 5.2.2：
Results Related to the Structure of the System / 5.3：
The Particular Case of Dimension Two / 5.3.1：
The Case of Dimension Three / 5.3.2：
An Elementary Lp Approach / 5.4：
The Endpoint Space for Picard's Scheme / 5.5：
The Use of the L1 -smoothing Effect of the Heat Flow / 5.6：
The Cannone-Meyer-Planchon Theorem Revisited / 5.6.1：
The Flow of the Solutions of the Navier-Stokes System / 5.6.2：
Anisotropic Viscosity / 5.7：
The Case of L2 Data with One Vertical Derivative in L2 / 6.1：
A Global Existence Result in Anisotropic Besov Spaces / 6.2：
Anisotropic Localization in Fourier Space / 6.2.1：
The Functional Framework / 6.2.2：
Statement of the Main Result / 6.2.3：
Some Technical Lemmas / 6.2.4：
The Proof of Existence / 6.3：
The Proof of Uniqueness / 6.4：
Euler System for Perfect Incompressible Fluids / 6.5：
Local Well-posedness Results for Inviscid Fluids / 7.1：
The Biot-Savart Law / 7.1.1：
Estimates for the Pressure / 7.1.2：
Another Formulation of the Euler System / 7.1.3：
Local Existence of Smooth Solutions / 7.1.4：
Uniqueness / 7.1.5：
Continuation Criteria / 7.1.6：
Global Existence Results in Dimension Two / 7.2：
Smooth Solutions / 7.2.1：
The Borderline Case / 7.2.2：
The Yudovich Theorem / 7.2.3：
The Inviscid Limit / 7.3：
Regularity Results for the Navier-Stokes System / 7.3.1：
The Smooth Case / 7.3.2：
The Rough Case / 7.3.3：
Viscous Vortex Patches / 7.4：
Results Related to Striated Regularity / 7.4.1：
A Stationary Estimate for the Velocity Field / 7.4.2：
Uniform Estimates for Striated Regularity / 7.4.3：
A Global Convergence Result for Striated Regularity / 7.4.4：
Application to Smooth Vortex Patches / 7.4.5：
Strichartz Estimates and Applications to Semilinear Dispersive Equations / 7.5：
Examples of Dispersive Estimates / 8.1：
The Dispersive Estimate for the Free Transport Equation / 8.1.1：
The Dispersive Estimates for the Schrdillger Equation / 8.1.2：
Integral of Oscillating Functions / 8.1.3：
Dispersive Estimates for the Wave Equation / 8.1.4：
The L2 Boundedness of Some Fourier Integral Operators / 8.1.5：
Billnear Methods / 8.2：
The Duality Method and the TT* Argument / 8.2.1：
Strichartz Estimates: The Case q > 2 / 8.2.2：
Strichartz Estimates: The Endpoint Case q = 2 / 8.2.3：
Application to the Cubic Semilinear Schrödinger Equation / 8.2.4：
Strichartz Estimates for the Wave Equation / 8.3：
The Basic Strichartz Estimate / 8.3.1：
The Refined Strichartz Estimate / 8.3.2：
The Qulntic Wave Equation in R3 / 8.4：
The Cubic Wave Equation in R3 / 8.5：
Solutions in H1 / 8.5.1：
Local and Global Well-posedness for Rough Data / 8.5.2：
The Nonlinear Interpolation Method / 8.5.3：
Application to a Class of Semilinear Wave Equations / 8.6：
Smoothing Effect in Quasilinear Wave Equations / 8.7：
A Well-posedness Result Based on an Energy Method / 9.1：
The Main Statement and the Strategy of its Proof / 9.2：
Refined Paralinearization of the Wave Equation / 9.3：
Reduction to a Microlocal Strichartz Estimate / 9.4：
Microlocal Strichartz Estimates / 9.5：
A Rather General Statement / 9.5.1：
Geometrical Optics / 9.5.2：
The Solution of the Eikonal Equation / 9.5.3：
The Transport Equation / 9.5.4：
The Approximation Theorem / 9.5.5：
The Proof of Theorem 9.16 / 9.5.6：
The Compressible Navier-Stokes System / 9.6：
About the Model / 10.1：
General Overview / 10.1.1：
The Barotropic Navier-Stokes Equations / 10.1.2：
Local Theory for Data with Critical Regularity / 10.2：
Scaling Invariance and Statement of the Main Result / 10.2.1：
Existence of a Local Solution / 10.2.2：
A Continuation Criterion / 10.2.4：
Local Theory for Data Bounded Away from the Vacuum / 10.3：
A Priori Estimates for the Linearized Momentum Equation / 10.3.1：
Global Existence for Small Data / 10.3.2：
Statement of the Results / 10.4.1：
A Spectral Analysis of the Linearized Equation / 10.4.2：
A Prioli Estimates for the Linearized Equation / 10.4.3：
Proof of Global Existence / 10.4.4：
The Incompressible Limit / 10.5：
Main Results / 10.5.1：
The Case of Small Data with Critical Regularity / 10.5.2：
The Case of Large Data with More Regularity / 10.5.3：
References / 10.6：
List of Notations
Index
Basic Analysis / 1：
Basic Real Anslysis / 1.1：
Holder and Convolution Inequslities / 1.1.1：
81.
ＥＢ
Ming Qiu Zhang, Min Zhi Rong
出版情報:
Wiley Online Library - AutoHoldings Books , John Wiley & Sons, Incorporated, 2011
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Preface
Basics of Self-Healing: State of the Art / 1：
Background / 1.1：
Adhesive Bonding for Healing Thermosetting Materials / 1.1.1：
Fusion Bonding for Healing Thermoplastic Materials / 1.1.2：
Bioinspired Self-Healing / 1.1.3：
Intrinsic Self-Healing / 1.2：
Self-Healing Based on Physical Interactions / 1.2.1：
Self-Healing Based on Chemical Interactions / 1.2.2：
Self-Healing Based on Supramolecular Interactions / 1.2.3：
Extrinsic Self-Healing / 1.3：
Self-Healing in Terms of Healant Loaded Pipelines / 1.3.1：
Self-Healing in Terms of Healant Loaded Microcapsules / 1.3.2：
Insights for Future Work / 1.4：
References
Theoretical Consideration and Modeling / 2：
Molecular Mechanisms / 2.1：
Self-Healing Below Glass Transition Temperature / 2.1.1：
Self-Healing Above Glass Transition Temperature / 2.1.2：
Healing Modeling / 2.2：
Percolation Modeling / 2.2.1：
Continuum and Molecular-Level Modeling of Fatigue Crack Retardation / 2.2.2：
Continuum Damage and Healing Mechanics / 2.2.3：
Discrete Element Modeling and Numerical Study / 2.2.4：
Design of Self-Healing Composites / 2.3：
Entropy Driven Self-Assembly of Nanoparticles / 2.3.1：
Optimization of Microvascular Networks / 2.3.2：
Concluding Remarks, 105 References / 2.4：
Extrinsic Self-Healing via Addition Polymerization / 3：
Design and Selection of Healing System / 3.1：
Microencapsulation of Mercaptan and Epoxy by in situ Polymerization / 3.2：
Microencapsulation of Mercaptan / 3.2.1：
Microencapsulation of Epoxy / 3.2.2：
Characterization of Self-Healing Functionality / 3.3：
Self-Healing Epoxy Materials with Embedded Dual Encapsulated Healant: Healing of Crack Due to Monotonic Fracture / 3.3.1：
Factors Related to Performance Improvement / 3.3.2：
Self-Healing Epoxy Materials with Embedded Dual Encapsulated Healant: Healing of Fatigue Crack / 3.3.3：
Self-Healing Epoxy/Glass Fabric Composites with Embedded Dual Encapsulated Healant: Healing of Impact Damage / 3.3.4：
Concluding Remarks / 3.4：
Extrinsic Self-Healing via Cationic Polymerization / 4：
Microencapsulation of Epoxy by UV Irradiation-Induced Interfacial Copolymerization / 4.1：
Encapsulation of Boron-Containing Curing Agent / 4.2：
Loading Boron-Containing Curing Agent onto Porous Media / 4.2.1：
Microencapsulation of Boron-Containing Curing Agent via Hollow Capsules Approach / 4.2.2：
Self-Healing Epoxy Materials with Embedded Epoxy-Loaded Microcapsules and (C2H5)2O.BF3-Loaded Sisal / 4.3：
Self-Healing Epoxy Materials with Embedded Dual Encapsulated Healant / 4.3.2：
Extrinsic Self-Healing via Anionic Polymerization / 4.4：
Preparation of Epoxy-Loaded Microcapsules and Latent Hardener / 5.1：
Microencapsulation of Epoxy by in situ Condensation / 5.1.1：
Preparation of Imidazole Latent Hardener / 5.1.2：
Self-Healing Epoxy Materials with Embedded Epoxy-Loaded Microcapsules and Latent Hardener / 5.2：
Self-Healing Epoxy/Woven Glass Fabric Composites with Embedded Epoxy-Loaded Microcapsules and Latent Hardener: Healing of Interlaminar Failure / 5.3：
Durability of Healing Ability / 5.4：
Self-Healing Epoxy/Woven Glass Fabric Composites with Embedded Epoxy-Loaded Microcapsules and Latent Hardener: Healing of Impact Damage / 5.5：
Extrinsic Self-Healing via Miscellaneous Reactions / 5.6：
Extrinsic Self-Healing via Nucleophilic Addition and Ring-Opening Reactions / 6.1：
Microencapsulation of GMA by in situ Polymerization / 6.1.1：
Self-Healing Epoxy Materials with Embedded Single-Component Healant / 6.1.2：
Extrinsic Self-Healing via Living Polymerization / 6.2：
Preparation of Living PMMA and Its Composites with GMA-Loaded Microcapsules / 6.2.1：
Extrinsic Self-Healing via Free Radical Polymerization / 6.2.2：
Microencapsulation of Styrene and BPO / 6.3.1：
Self-Healing Performance of Epoxy Filled with Dual Capsules / 6.3.2：
Intrinsic Self-Healing via Diels-Alder Reaction / 6.4：
Molecular Design and Synthesis / 7.1：
Synthesis and Characterization of DGFA / 7.1.1：
Reversibility of DA Bonds and Crack Remendability of DGFA Based Polymer / 7.1.2：
Synthesis and Characterization of FGE / 7.1.3：
Reversibility of DA Bonds and Crack Remendability of FGE-Based Polymer / 7.1.4：
Blends of DGFA and FGE / 7.2：
Reversibility of DA Bonds / 7.2.1：
Crack Remendability of Cured DGFA/FGE Blends / 7.2.2：
Concluding Remarks, 374 References / 7.3：
Applications / 8：
Coatings and Films / 8.1：
Elastomers / 8.2：
Smart Composites / 8.3：
Tires / 8.4：
Appendix: Nomenclature / 8.5：
Index
Preface
Basics of Self-Healing: State of the Art / 1：
Background / 1.1：
82.
ＥＢ
Eduardo Calixto
出版情報:
Elsevier ScienceDirect Books Complete , Gulf Professional Publishing, 2013
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Preface
Acknowledgments
Life Cycle Analysis / 1：
Quantitative Failure Data Analysis / 1.1：
Probability Density Functions / 1.2：
Exponential PDF / 1.2.1：
Normal PDF / 1.2.2：
Logistic PDF / 1.2.3：
Lognormal PDF / 1.2.4：
Loglogistic PDF / 1.2.5：
Cumbel PDF / 1.2.6：
Weibull PDF / 1.2.7：
Gamma PDF / 1.2.8：
Generalized Gamma PDF / 1.2.9：
How to Define PDF Parameters and Choose Which PDF Fits Better with the Failure Data / 1.3：
Plot Method / 1.3.1：
Rank Regression / 1.3.2：
Maximum Likelihood Method / 1.3.3：
How Reliable Is the Reliability: The Confidence Bound Will Tell You / 1.4：
References
Accelerated Test and Reliability Growth Analysis Models / 2：
Introduction / 2.1：
Quantitative Accelerated Tests / 2.2：
Arrhenius Life-Stress Model / 2.2.1：
Eyring Life-Stress Model / 2.2.2：
Inverse Power Law Life-Stress Model / 2.2.3：
Temperature-Humidity Life-Stress Model / 2.2.4：
Thermal-Nonthermal Life-Stress Model / 2.2.5：
General Loglinear Life-Stress Model / 2.2.6：
Proportional Hazard Life-Stress Model / 2.2.7：
Cumulative Risk Life-Stress Model / 2.2.8：
Qualitative Accelerated Tests (HALT and HASS) / 2.3：
Reliability Growth Analysis / 2.4：
Duanne Model / 2.4.1：
Crow-Ansaa Model / 2.4.2：
Lloyd-Lipow Model / 2.4.3：
Gompertz Model / 2.4.4：
Logistic Model / 2.4.5：
Crow Extended Model / 2.4.6：
Power Law Model / 2.4.7：
Reliability and Maintenance / 3：
Introduction to Failure Mode Effects Analysis / 3.1：
Design Failure Mode Effects Analysis / 3.1.1：
Failure Mode Analysis: Process and Operational Applications / 3.1.2：
Reliability Centered on Maintenance / 3.2：
Risk-Based Inspection / 3.3：
ReBI / 3.4：
RGBI Analysis / 3.5：
ORT Analysis / 3.6：
Reliability, Availability, and Maintainability Analysis / 4：
Introduction to RAM Analysis / 4.1：
Scope Definition / 4.1.1：
Failure and Repair Data Analysis / 4.1.2：
Modeling and Simulation / 4.1.3：
Sensitivity Analysis / 4.1.4：
Conclusions and Reports / 4.1.5：
RBD Configuration / 4.2：
Markov Chain Methodology / 4.2.2：
Simulation / 4.2.3：
Reliability and Availability Performance Index / 4.2.4：
Sensitivity Analysis: Redundancy Policies, Maintenance Plans, Stock Policies, and Logistics / 4.3：
Redundancy Policies / 4.3.1：
Maintenance Policies / 4.3.2：
A General Renovation Process: Kijima Models I and II / 4.3.3：
Stock Policies / 4.3.4：
Logistics / 4.3.5：
Improvement Allocation Based on Availability / 4.4：
Case Studies / 4.5：
Sensitivity Analysis in Critical Equipment: The Distillation Plant Case Study in the Brazilian Oil and Gas Industry / 4.5.1：
Systems Availability Enhancement Methodology: A Refinery Hydrotreating Unit Case Study / 4.5.2：
The Nonlinear Optimization Methodology Model: The Refinery Plant Availability Optimization Case Study / 4.5.3：
CENPES II Project Reliability Analysis / 4.5.4：
The Operational Effects in Availability: Thermal Cracking Plant RAM Analysis Case Study / 4.5.5：
Partial Availability Based on System Age: The Drill Facility System Case Study / 4.5.6：
High-Performance System Requires Improvements? Compressor Optimum Replacement Time Case Study / 4.5.7：
RAM+L Analysis: Refinery Case Study / 4.5.8：
Human Reliability Analysis / 5：
Human Reliability Concepts / 5.1：
Technique for Human Error Rate Prediction / 5.2：
Operator Action Tree / 5.3：
Accident Sequence Evaluation program / 5.4：
Pre-Accident Analysis Methodology / 5.4.1：
Post-Accident Analysis Methodology / 5.4.2：
Human Error Assessment Reduction Technique / 5.5：
Social Technical Analysis of Human Reliability / 5.6：
Standardized Plant Analysis Risk-Human Reliability / 5.7：
Bayesian Networks / 5.8：
Case Study / 5.9：
THERP Case Study Application / 5.9.1：
OAT Case Study Application / 5.9.2：
SPAR-H Case Study Application / 5.9.3：
HEART Case Study Application / 5.9.4：
STAH-R Case Study Application / 5.9.5：
Bayesian Network Application / 5.9.6：
Methodologies Similarities / 5.9.7：
Conclusion / 5.9.8：
Reliability and Safety Processes / 6：
Fault Tree Analysis / 6.1：
Time Independent FTA / 6.2.1：
Time Dependent FTA / 6.2.2：
FTA as Qualitative Risk Analysis Support / 6.2.3：
FTA as a Root Cause Analysis Tool / 6.2.4：
Event Tree Analysis / 6.3：
Time Independent Event Tree Analysis / 6.3.1：
Time Dependent ETA / 6.3.2：
Layers of Protection Analysis / 6.4：
Independent Time LOPA / 6.4.1：
Time Dependent LOPA / 6.4.2：
Time Dependent LOPA as Qualitative Risk Analysis Support / 6.4.3：
Safety Integrity Level Analysis / 6.5：
Hazard Matrix Methodology / 6.5.1：
Risk Graph Methodology / 6.5.2：
Frequency Target Methodology / 6.5.3：
Individual and Societal Risk Methodology / 6.5.4：
Quantitative Approach to Defining Probability of Failure on Demand / 6.5.5：
Bow Tie Analysis / 6.6：
Time Independent Bow Tie Analysis / 6.6.1：
Time Dependent Bow Tie Analysis / 6.6.2：
Case Study 1: Applying LOPA Analysis to Decide Whether Risk Is Acceptable When Layers of Protection Are Not Available / 6.7：
Case Study 2: Using RAMS Analysis Methodology to Measure Safety Process Effects on System Availability / 6.8：
Safety Processes / 6.8.1：
RAM Analysis Case Study / 6.8.2：
Conclusions / 6.8.3：
Reliability Management / 7：
Reliability Management over the Enterprise Life Cycle / 7.1：
Reliability Management Success Factors / 7.2：
Successful Reliability Engineering Implementation Case Study / 7.3：
Bayer / 7.3.1：
Successful Organization in Reliability Engineer Implementation / 7.4：
USNRC (United States Nuclear Regulatory Commission) / 7.4.1：
ESReDA (European Safety and Reliability and Data Association) / 7.4.2：
ESRA (European Safety and Reliability Association) / 7.4.3：
SINTEF (Stiftelsen for Industriell og Teknisk Forskning) / 7.4.4：
Reliability Engineer Teaching and Research: Successful Universities and Research Center Cases / 7.5：
Karlsruhe Institute Technology / 7.5.1：
Indian Institute of Technology Kharagpur / 7.5.2：
University of Strathclyde Business School / 7.5.3：
University of Stavanger / 7.5.4：
Final Thoughts / 7.6：
Index
Preface
Acknowledgments
Life Cycle Analysis / 1：
83.
ＥＢ
Weizhang Huang, Robert D. Russell
出版情報:
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Introduction / 1：
A model problem / 1.1：
A moving finite difference method / 1.2：
Finite difference method on a fixed mesh / 1.2.1：
Finite difference method on an adaptive moving mesh / 1.2.2：
A moving finite element method / 1.3：
Finite element method on a fixed mesh / 1.3.1：
Finite element method on an adaptive moving mesh / 1.3.2：
Burgers'equation with an exact solution / 1.4：
Basic components of a moving mesh method / 1.5：
Mesh movement strategies / 1.5.1：
Discretization of PDEs on a moving mesh / 1.5.2：
Simultaneous or alternate solution / 1.5.3：
Biographical notes / 1.6：
Exercises / 1.7：
Adaptive Mesh Movement in ID / 2：
The equidistribution principle / 2.1：
Equidistribution / 2.1.1：
Optimality of equidistribution / 2.1.2：
Equidistributing meshes as uniform meshes in a metric space / 2.1.3：
Another view of equidistribution / 2.1.4：
Computation of equidistributing meshes / 2.2：
De Boor's algorithm / 2.2.1：
Bvp method / 2.2.2：
Moving mesh PDEs / 2.3：
MMPDEs in terms of coordinate transformation / 2.3.1：
MMPDEs in terms of inverse coordinate transformation / 2.3.2：
Mesh density functions based on interpolation enor / 2.4：
Interpolation error estimates / 2.4.1：
Optimal mesh density functions / 2.4.2：
Enor bounds for commonly used non-optimal mesh density functions / 2.4.3：
Summary of mesh density functions and error bounds / 2.4.4：
Error bounds for a function with boundary layer / 2.4.5：
Computation of mesh density functions and examples / 2.5：
Recovery of solution derivatives / 2.5.1：
Smoothing of mesh density functions and smoothed MMPDEs / 2.5.2：
Mesh density functions for solutions with multicomponents / 2.5.3：
Examples with analytical functions / 2.5.4：
Alternate solution procedures / 2.6：
Alternate solution with quasi-Lagrange treatment of mesh movement / 2.6.1：
Rezoning treatment of mesh movement / 2.6.2：
Interpolation on moving meshes / 2.6.3：
Examples of applications / 2.7：
Mesh density functions based on scaling invariance / 2.8：
Dimensional analysis, scaling invariance, and dominance of equidistribution / 2.8.1：
MMPDEs with constant / 2.8.2：
MMPDE5 with variable / 2.8.3：
Numerical results / 2.8.4：
Mesh density functions based on a posteriori error estimates / 2.9：
An a priori error estimate / 2.9.1：
An a posteriori error estimate / 2.9.2：
Optimal mesh density function and convergence results / 2.9.3：
Iterative algorithm for computing equidistributing meshes and numerical examples / 2.9.4：
Biographical noteS / 2.10：
Discretization of PDEs on Time-Varying Meshes / 2.11：
Coordinate transformations / 3.1：
Coordinate transformation as a mesh / 3.1.1：
Transformation relations / 3.1.2：
Transformed structure of PDEs / 3.1.3：
Transformation relations in 2D / 3.1.4：
Finite difference methods / 3.2：
The quasi-Lagrange approach / 3.2.1：
The rezoning approach / 3.2.2：
Finite element methods / 3.3：
Concepts of unstructured meshes and finite elements / 3.3.1：
Simplicial elements and d-simplexes / 3.3.2：
Two-mesh strategy for mesh movement / 3.3.3：
Linear interpolation / 3.5：
PDE-based interpolation / 3.5.2：
Basic Principles of Multidimensional Mesh Adaptation / 3.6：
Mesh adaptation from perspective of uniform meshes in a metric space / 4.1：
Mathematical description of M-uniform meshes / 4.1.1：
Equidistribution and alignment conditions / 4.1.2：
Mesh control perspective / 4.2：
Jacobian matrix and size, shape, and orientation of mesh elements / 4.2.1：
Mesh adaptation via metric specification / 4.2.2：
Geometric interpretations of mesh equidistribution and alignment / 4.2.3：
Special case: scalar monitor functions / 4.2.4：
Continuous perspective / 4.3：
Function approximation perspective / 4.4：
Mesh quality measures / 4.5：
Analytical and numerical examples / 4.6：
Monitor Functions / 4.7：
Interpolation theory in Sobolev spaces / 5.1：
Error estimates for linear Lagrange interpolation at vertices / 5.1.1：
A classical result / 5.1.2：
Relations between norms on affine-equivalent elements / 5.1.3：
Isotropic error bounds / 5.1.4：
Anisotropic error bounds: Case I=1 / 5.1.5：
Anisotropic error bounds: Case I>2 / 5.1.6：
Interpolation error on element faces / 5.1.7：
Monitor functions based on interpolation error / 5.2：
Monitor function based on isotropic error estimates / 5.2.1：
Monitor function based on anisotropic error estimates: I = 1 / 5.2.2：
Monitor function based on anisotropic error estimates: I = 2 / 5.2.3：
The Hessian as the monitor function / 5.2.4：
Summary of formulas-continuous form / 5.2.5：
Computation of monitor functions / 5.3：
Computation of the absolute value of Hessian matrix / 5.3.1：
Smoothing / 5.3.3：
Monitor functions for multicomponent solutions / 5.3.4：
Monitor functions based on semi-a posteriori and a posteriori error estimates / 5.4：
A semi-a posteriori method / 5.4.1：
A hierarchical basis method / 5.4.2：
Additional considerations for defining monitor functions / 5.5：
Monitor functions based on distance to interfaces / 5.5.1：
Monitor functions based on a reference mesh / 5.5.2：
Variational Mesh Adaptation Methods / 5.6：
General framework for variational methods and MMPDEs / 6.1：
General adaptation functional and mesh equations / 6.1.1：
Boundary conditions for coordinate transformation / 6.1.2：
Existence of minimizer / 6.2：
Convex functionals / 6.2.1：
Polyconvex functionals / 6.2.2：
Examples of convex and polyconvex mesh adaptation functionals / 6.2.3：
Discretization and solution procedures / 6.3：
Methods based on equidistribution and alignment conditions / 6.3.1：
Functional tor mesh alignment / 6.4.1：
Functional for equidistribution / 6.4.2：
Mesh adaptation functional / 6.4.3：
Another mesh adaptation functional / 6.4.4：
Numerical examples / 6.4.5：
Methods based on physical and geometric models / 6.5：
Variable diffusion methods / 6.5:1：
Harmonic mapping methods / 6.5.2：
Hybrid methods and directional control / 6.5.3：
Jacobian-weighted methods / 6.5.4：
Methods based on mechanical models / 6.5.5：
Methods based on Monge-Ampere equation Monge-Kantorovich optimal transport problem / 6.5.6：
Summary / 6.5.7：
Exaruples of applications / 6.6：
Velocity-Based Adaptive Methods / 6.7：
Methods based on geometric conservation law / 7.1：
GCLmethod / 7.1.1：
Deformation map method / 7.1.2：
Static version / 7.1.3：
A moving mesh finite element method based on GCL / 7.1.4：
MPE-moving finite element method / 7.2：
Other approaches / 7.3：
Method based on attraction-repulsion / 7.3.1：
Methods based on spring models / 7.3.2：
Methods based on minimizing convection tenus / 7.3.3：
Soholev spaces / 7.4：
Arithmetic-mean geometric-mean inequality and Jensen's hiequaIity / B：
References
Nomenelatnre
Index
Introduction / 1：
A model problem / 1.1：
A moving finite difference method / 1.2：
84.
ＥＢ
Daniel S. Yeung, Ian Cloete, Wing W. Y. Ng, Daming Shi
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Introduction to Neural Networks / 1：
Properties of Neural Networks / 1.1：
Neural Network Learning / 1.2：
Supervised Learning / 1.2.1：
Unsupervised Learning / 1.2.2：
Perceptron / 1.3：
Adaline and Least Mean Square Algorithm / 1.4：
Multilayer Perceptron and Backpropagation Algorithm / 1.5：
Output Layer Learning / 1.5.1：
Hidden Layer Learning / 1.5.2：
Radial Basis Function Networks / 1.6：
Support Vector Machines / 1.7：
Principles of Sensitivity Analysis / 2：
Perturbations in Neural Networks / 2.1：
Neural Network Sensitivity Analysis / 2.2：
Fundamental Methods of Sensitivity Analysis / 2.3：
Geometrical Approach / 2.3.1：
Statistical Approach / 2.3.2：
Summary / 2.4：
Hyper-Rectangle Model / 3：
Hyper-Rectangle Model for Input Space of MLP / 3.1：
Sensitivity Measure of MLP / 3.2：
Discussion / 3.3：
Sensitivity Analysis with Parameterized Activation Function / 4：
Parameterized Antisymmetric Squashing Function / 4.1：
Sensitivity Measure / 4.2：
Localized Generalization Error Model / 4.3：
Introduction / 5.1：
The Localized Generalization Error Model / 5.2：
The Q-Neighborhood and Q-Union / 5.2.1：
The Localized Generalization Error Bound / 5.2.2：
Stochastic Sensitivity Measure for RBFNN / 5.2.3：
Characteristics of the Error Bound / 5.2.4：
Comparing Two Classifiers Using the Error Bound / 5.2.5：
Architecture Selection Using the Error Bound / 5.3：
Critical Vector Learning for RBF Networks / 5.3.1：
Related Work / 6.1：
Construction of RBF Networks with Sensitivity Analysis / 6.2：
RBF Classifiers' Sensitivity to the Kernel Function Centers / 6.2.1：
Orthogonal Least Square Transform / 6.2.2：
Critical Vector Selection / 6.2.3：
Sensitivity Analysis of Prior Knowledge / 6.3：
KBANNs / 7.1：
Inductive Bias / 7.2：
Sensitivity Analysis and Measures / 7.3：
Output-Pattern Sensitivity / 7.3.1：
Output-Weight Sensitivity / 7.3.2：
Output-H Sensitivity / 7.3.3：
Euclidean Distance / 7.3.4：
Promoter Recognition / 7.4：
Data and Initial Domain Theory / 7.4.1：
Experimental Methodology / 7.4.2：
Discussion and Conclusion / 7.5：
Applications / 8：
Input Dimension Reduction / 8.1：
Sensitivity Matrix / 8.1.1：
Criteria for Pruning Inputs / 8.1.2：
Network Optimization / 8.2：
Selective Learning / 8.3：
Hardware Robustness / 8.4：
Measure of Nonlinearity / 8.5：
Parameter Tuning for Neocognitron / 8.6：
Receptive Field / 8.6.1：
Selectivity / 8.6.2：
Sensitivity Analysis of the Neocognitron / 8.6.3：
Bibliography
Introduction to Neural Networks / 1：
Properties of Neural Networks / 1.1：
Neural Network Learning / 1.2：
85.
ＥＢ
Daniel S. Yeung, Ian Cloete, Wing W. Y. Ng, Daming Shi
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2010
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Introduction to Neural Networks / 1：
Properties of Neural Networks / 1.1：
Neural Network Learning / 1.2：
Supervised Learning / 1.2.1：
Unsupervised Learning / 1.2.2：
Perceptron / 1.3：
Adaline and Least Mean Square Algorithm / 1.4：
Multilayer Perceptron and Backpropagation Algorithm / 1.5：
Output Layer Learning / 1.5.1：
Hidden Layer Learning / 1.5.2：
Radial Basis Function Networks / 1.6：
Support Vector Machines / 1.7：
Principles of Sensitivity Analysis / 2：
Perturbations in Neural Networks / 2.1：
Neural Network Sensitivity Analysis / 2.2：
Fundamental Methods of Sensitivity Analysis / 2.3：
Geometrical Approach / 2.3.1：
Statistical Approach / 2.3.2：
Summary / 2.4：
Hyper-Rectangle Model / 3：
Hyper-Rectangle Model for Input Space of MLP / 3.1：
Sensitivity Measure of MLP / 3.2：
Discussion / 3.3：
Sensitivity Analysis with Parameterized Activation Function / 4：
Parameterized Antisymmetric Squashing Function / 4.1：
Sensitivity Measure / 4.2：
Localized Generalization Error Model / 4.3：
Introduction / 5.1：
The Localized Generalization Error Model / 5.2：
The Q-Neighborhood and Q-Union / 5.2.1：
The Localized Generalization Error Bound / 5.2.2：
Stochastic Sensitivity Measure for RBFNN / 5.2.3：
Characteristics of the Error Bound / 5.2.4：
Comparing Two Classifiers Using the Error Bound / 5.2.5：
Architecture Selection Using the Error Bound / 5.3：
Critical Vector Learning for RBF Networks / 5.3.1：
Related Work / 6.1：
Construction of RBF Networks with Sensitivity Analysis / 6.2：
RBF Classifiers' Sensitivity to the Kernel Function Centers / 6.2.1：
Orthogonal Least Square Transform / 6.2.2：
Critical Vector Selection / 6.2.3：
Sensitivity Analysis of Prior Knowledge / 6.3：
KBANNs / 7.1：
Inductive Bias / 7.2：
Sensitivity Analysis and Measures / 7.3：
Output-Pattern Sensitivity / 7.3.1：
Output-Weight Sensitivity / 7.3.2：
Output-H Sensitivity / 7.3.3：
Euclidean Distance / 7.3.4：
Promoter Recognition / 7.4：
Data and Initial Domain Theory / 7.4.1：
Experimental Methodology / 7.4.2：
Discussion and Conclusion / 7.5：
Applications / 8：
Input Dimension Reduction / 8.1：
Sensitivity Matrix / 8.1.1：
Criteria for Pruning Inputs / 8.1.2：
Network Optimization / 8.2：
Selective Learning / 8.3：
Hardware Robustness / 8.4：
Measure of Nonlinearity / 8.5：
Parameter Tuning for Neocognitron / 8.6：
Receptive Field / 8.6.1：
Selectivity / 8.6.2：
Sensitivity Analysis of the Neocognitron / 8.6.3：
Bibliography
Introduction to Neural Networks / 1：
Properties of Neural Networks / 1.1：
Neural Network Learning / 1.2：
86.
ＥＢ
Carol Peters, Martin Braschler
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2012
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Introduction / 1：
The Growth of the Digital Universe / 1.1：
The Terminology / 1.2：
A Brief History / 1.3：
Enabling Technologies and Standards / 1.3.1：
Publicly-Funded Research Initiatives / 1.3.2：
Conferences and Evaluation Campaigns / 1.3.3：
Commercial Products / 1.3.4：
The Current Research Challenges / 1.4：
References
Within-Language Information Retrieval / 2：
The Retrieval Problem and Its Consequences / 2.1：
Implementation of a Within-Language Information Retrieval System / 2.3：
Indexing Phase / 2.4：
Pre-processing (Step 1) / 2.4.1：
Language Identification (Step 2) / 2.4.2：
Document Formation (Step 3) / 2.4.3：
Segmentation, Tokenisation, Parsing (Step 4) / 2.4.4：
Feature Normalisation (Step 5) / 2.4.5：
Enrichment (Step 6) / 2.4.6：
Matching Phase / 2.5：
'Bag of Words' Paradigm / 2.5.1：
Inverted Index / 2.5.2：
Basic Matching Algorithm / 2.5.3：
Vector Space Model / 2.5.4：
The tf.idf-Cosine Weighting Scheme / 2.5.5：
Relevance Feedback / 2.5.6：
Probabilistic Weighting Schemes / 2.5.7：
Ranking Using Language Models / 2.5.8：
Off-Page Information: Page Rank / 2.5.9：
Summary and Future Directions / 2.6：
Suggested Reading / 2.7：
Cross-Language Information Retrieval / 3：
Implementation of Cross-Language Information Retrieval / 3.1：
Query Translation and Document Translation / 3.2.1：
No Translation / 3.2.2：
Different Types of Translation Resources / 3.2.3：
Term Ambiguity / 3.2.4：
Translation Approaches for Cross-Language Information Retrieval / 3.3：
Machine-Readable Dictionaries / 3.3.1：
Statistical Approaches / 3.3.2：
Pre-translation and Post-translation Query Expansion / 3.3.3：
Machine Translation / 3.3.4：
Combination Approaches / 3.3.5：
Handling Many Languages / 3.4：
CLIR Flows / 3.4.1：
Merging Across Languages / 3.4.2：
Document Translation / 3.4.3：
Indirect Translation / 3.4.4：
Interaction and User Interfaces / 3.5：
Information Seeking and User Interaction / 4.1：
Users' Information Needs and Search Tasks / 4.2：
Users' Language Skills and Cultural Differences / 4.3：
Supporting Multilingual User Interaction / 4.4：
Query Formulation and Translation / 4.4.1：
Document Selection and Examination / 4.4.2：
Query Reformulation / 4.4.3：
Browsing and Visualisation / 4.4.4：
Designing Multilingual Search User Interfaces / 4.5：
User-Centred Design / 4.5.1：
Internationalisation and Localisation / 4.5.2：
Case Study: CLIR in Google's Web Search / 4.5.3：
Evaluation for Multilingual Information Retrieval Systems / 4.6：
System-Oriented Evaluation / 5.1：
The Cranfield Tradition / 5.2.1：
Evaluation Campaigns / 5.2.2：
Building a Test Collection / 5.2.3：
Promoting Research into Multilingual and Multimedia System Development via Evaluation / 5.2.4：
Alternative Methodologies for Test Collection Construction / 5.2.5：
Performance Measures / 5.2.6：
Statistical Significance Testing / 5.2.7：
System Effectiveness and User Satisfaction / 5.2.8：
User-Oriented Evaluation / 5.3：
Experimental Design / 5.3.1：
Evaluating Interactive CLIR Systems at CLEF / 5.3.2：
Alternative Performance Measures / 5.3.3：
Evaluating Your Own System / 5.4：
Applications of Multilingual Information Access / 5.5：
Beyond Multilingual Textual Document Retrieval / 6.1：
Image Retrieval / 6.2.1：
Speech Retrieval / 6.2.2：
Video Retrieval / 6.2.3：
Question Answering / 6.2.4：
Multilingual Information Access in Practice / 6.3：
Web Search / 6.3.1：
Digital Libraries and Cultural Heritage / 6.3.2：
Medicine and Healthcare / 6.3.3：
Government and Law / 6.3.4：
Business and Commerce / 6.3.5：
Summing Up / 6.4：
Glossary of Acronyms
Index
Introduction / 1：
The Growth of the Digital Universe / 1.1：
The Terminology / 1.2：
87.
ＥＢ
Andreas Glindemann
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Introduction / 1：
Propagation of Light / 2：
Preliminaries / 2.1：
Basic Properties of the Electromagnetic Wave / 2.1.1：
Young's Experiment / 2.1.2：
Scalar Diffraction Theory / 2.2：
The Rayleigh-Sommerfeld Diffraction Formula / 2.2.1：
Fresnel Approximation / 2.2.2：
The Airy Disk / 2.2.3：
The Coherence Function / 2.3：
Varieties of the Coherence Function / 2.3.1：
Generalised van Cittert-Zernike Theorem / 2.3.2：
Incoherent Sources of Light: Stars / 2.3.3：
Quasi-Monochromatic Approximation / 2.3.4：
Young's Experiment Revisited / 2.4：
The Coherence Function in Young's Experiment / 2.4.1：
ABCD Method / 2.4.2：
Power Spectrum of the Fringe Pattern / 2.4.3：
Heuristic Approach / 2.4.4：
Higher Order Correlation Functions: Intensity Interferometry / 2.5：
Imaging Process: Propagation Through Optical Systems / 3：
Fourier Optics / 3.1：
The Optical Transfer Function / 3.1.1：
Optical Aberrations: The Zernike Polynomials / 3.1.2：
Image Intensity Distribution / 3.2：
Coherent Imaging / 3.2.2：
Coherence Properties in the Image Plane / 3.2.3：
Propagation Through Interferometers / 3.3：
Young's Experiment with a Lens / 3.3.1：
Apertures of Finite Size / 3.3.2：
Spectra of Finite Width / 3.3.3：
Objects of Finite Size / 3.3.4：
Considerations on the Interferometric Field of View / 3.3.5：
Masked Field of View / 3.3.6：
The uv-Plane / 3.4：
Large Apertures, Short Baseline: The LBT / 3.4.1：
Large Apertures, Long Baselines: The VLTI / 3.4.2：
Image Reconstruction: General Principles / 3.4.3：
Atmospheric Turbulence / 4：
Kolmogorov Turbulence / 4.1：
First Principles / 4.1.1：
Index of Refraction Fluctuations / 4.1.2：
Statistical Properties of the Perturbed Complex Wave / 4.2：
Thin Layer Turbulence Model / 4.2.1：
Multiple Layers, the Fried Parameter / 4.2.2：
Anisoplanatic and Temporal Effects / 4.2.3：
Propagation Through Optical Systems / 4.3：
Fringe Motion / 4.3.1：
Image Motion / 4.3.2：
Zernike Representation of Atmospheric Turbulence / 4.3.3：
Scintillation / 4.3.4：
Speckle Pattern and Seeing Disk / 4.3.5：
Speckle Interferometry / 4.4：
Instrumental Techniques / 5：
Combination of Two Telescopes / 5.1：
Fizeau Configuration / 5.1.1：
Michelson Configuration / 5.1.2：
Co-Axial Combination / 5.1.3：
Multi-Aperture Combination: Michelson Configuration / 5.2：
Multi-Axial and Co-Axial Combination / 5.2.1：
Aspects of Beam Combination / 5.2.2：
Multi-Aperture Combination: Direct Imaging / 5.3：
Hypertelescope / 5.3.1：
Interferometric Remapped Array Nulling: IRAN / 5.3.3：
Nulling Interferometer / 5.3.4：
Layout of Interferometer Arrays / 5.4：
Many Apertures / 5.4.1：
Few Apertures / 5.4.2：
Delay Lines / 5.4.3：
Observing Through Atmospheric Turbulence / 6：
Visibility Measurement Through Atmospheric Turbulence / 6.1：
Beating Atmospheric Turbulence / 6.1.1：
Fringe Tracking / 6.2.1：
Dual-Feed System / 6.2.2：
Closure Phase / 6.2.3：
Adaptive Optics / 6.3：
Wave Front Sensing / 6.3.1：
Closed Loop Operation / 6.3.2：
Modern Interferometers / 7：
Appendix / A：
The Fourier Transform / A.1：
Atmospheric Transmission Bands / A.2：
References
Index
Introduction / 1：
Propagation of Light / 2：
Preliminaries / 2.1：
88.
ＥＢ
Carol Peters, Martin Braschler, Paul Clough
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2012
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Introduction / 1：
The Growth of the Digital Universe / 1.1：
The Terminology / 1.2：
A Brief History / 1.3：
Enabling Technologies and Standards / 1.3.1：
Publicly-Funded Research Initiatives / 1.3.2：
Conferences and Evaluation Campaigns / 1.3.3：
Commercial Products / 1.3.4：
The Current Research Challenges / 1.4：
References
Within-Language Information Retrieval / 2：
The Retrieval Problem and Its Consequences / 2.1：
Implementation of a Within-Language Information Retrieval System / 2.3：
Indexing Phase / 2.4：
Pre-processing (Step 1) / 2.4.1：
Language Identification (Step 2) / 2.4.2：
Document Formation (Step 3) / 2.4.3：
Segmentation, Tokenisation, Parsing (Step 4) / 2.4.4：
Feature Normalisation (Step 5) / 2.4.5：
Enrichment (Step 6) / 2.4.6：
Matching Phase / 2.5：
'Bag of Words' Paradigm / 2.5.1：
Inverted Index / 2.5.2：
Basic Matching Algorithm / 2.5.3：
Vector Space Model / 2.5.4：
The tf.idf-Cosine Weighting Scheme / 2.5.5：
Relevance Feedback / 2.5.6：
Probabilistic Weighting Schemes / 2.5.7：
Ranking Using Language Models / 2.5.8：
Off-Page Information: Page Rank / 2.5.9：
Summary and Future Directions / 2.6：
Suggested Reading / 2.7：
Cross-Language Information Retrieval / 3：
Implementation of Cross-Language Information Retrieval / 3.1：
Query Translation and Document Translation / 3.2.1：
No Translation / 3.2.2：
Different Types of Translation Resources / 3.2.3：
Term Ambiguity / 3.2.4：
Translation Approaches for Cross-Language Information Retrieval / 3.3：
Machine-Readable Dictionaries / 3.3.1：
Statistical Approaches / 3.3.2：
Pre-translation and Post-translation Query Expansion / 3.3.3：
Machine Translation / 3.3.4：
Combination Approaches / 3.3.5：
Handling Many Languages / 3.4：
CLIR Flows / 3.4.1：
Merging Across Languages / 3.4.2：
Document Translation / 3.4.3：
Indirect Translation / 3.4.4：
Interaction and User Interfaces / 3.5：
Information Seeking and User Interaction / 4.1：
Users' Information Needs and Search Tasks / 4.2：
Users' Language Skills and Cultural Differences / 4.3：
Supporting Multilingual User Interaction / 4.4：
Query Formulation and Translation / 4.4.1：
Document Selection and Examination / 4.4.2：
Query Reformulation / 4.4.3：
Browsing and Visualisation / 4.4.4：
Designing Multilingual Search User Interfaces / 4.5：
User-Centred Design / 4.5.1：
Internationalisation and Localisation / 4.5.2：
Case Study: CLIR in Google's Web Search / 4.5.3：
Evaluation for Multilingual Information Retrieval Systems / 4.6：
System-Oriented Evaluation / 5.1：
The Cranfield Tradition / 5.2.1：
Evaluation Campaigns / 5.2.2：
Building a Test Collection / 5.2.3：
Promoting Research into Multilingual and Multimedia System Development via Evaluation / 5.2.4：
Alternative Methodologies for Test Collection Construction / 5.2.5：
Performance Measures / 5.2.6：
Statistical Significance Testing / 5.2.7：
System Effectiveness and User Satisfaction / 5.2.8：
User-Oriented Evaluation / 5.3：
Experimental Design / 5.3.1：
Evaluating Interactive CLIR Systems at CLEF / 5.3.2：
Alternative Performance Measures / 5.3.3：
Evaluating Your Own System / 5.4：
Applications of Multilingual Information Access / 5.5：
Beyond Multilingual Textual Document Retrieval / 6.1：
Image Retrieval / 6.2.1：
Speech Retrieval / 6.2.2：
Video Retrieval / 6.2.3：
Question Answering / 6.2.4：
Multilingual Information Access in Practice / 6.3：
Web Search / 6.3.1：
Digital Libraries and Cultural Heritage / 6.3.2：
Medicine and Healthcare / 6.3.3：
Government and Law / 6.3.4：
Business and Commerce / 6.3.5：
Summing Up / 6.4：
Glossary of Acronyms
Index
Introduction / 1：
The Growth of the Digital Universe / 1.1：
The Terminology / 1.2：
89.
ＥＢ
Robert E. Gawley, Jeffrey Aube, Jeffrey Aubâe, Jeffrey Aubâe
出版情報:
Elsevier ScienceDirect Books Complete , Elsevier, 2012
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Foreword
Preface
Introduction, General Principles, and Glossary of Stereochemical Terms / 1：
Why We Do Asymmetric Syntheses / 1.1：
What is an Asymmetric Synthesis? / 1.2：
Stereoselectivity, and What It Takes to Achieve It / 1.3：
Selectivity: Kinetic and Thermodynamic Control / 1.4：
Entropy, the Isoinversion Principle, and the Effect of Temperature on Selectivity / 1.5：
Single and Double Asymmetric Induction / 1.6：
Kinetic Resolution / 1.7：
The Curtin-Hammett Principle / 1.8：
Asymmetric Transformations and Dynamic Resolutions / 1.9：
Asymmetric Catalysis and Nonlinear Effects / 1.10：
Glossary of Stereochemical Terms / 1.11：
References
Practical Aspects of Asymmetric Synthesis / 2：
Choosing a Method for Asymmetric Synthesis / 2.1：
How to Get Started / 2.2：
General Considerations for Analysis of Stereoisomers / 2.3：
Chromatography / 2.4：
A Chromatography Primer / 2.4.1：
Chiral Stationary Phase Chromatography / 2.4.2：
Achiral Derivatizing Agents / 2.4.3：
Nuclear Magnetic Resonance / 2.5：
Chiral Derivatizing Agents (CDAs) / 2.5.1：
Chiral Solvating Agents (CSAs) / 2.5.2：
Chiroptical Methods / 2.6：
Summary / 2.7：
Enolate, Azaenolate, and Organolithium Alkylations / 3：
Enolates and Azaenolates / 3.1：
Deprotonation of Carbonyls / 3.1.1：
The Transition State for Enolate Alkylations / 3.1.2：
Enolate and Azaenolate Alkylations with Chiral Nucleophiles / 3.1.3：
Enolate and Azaenolate Alkylations with Chiral Electrophiles / 3.1.4：
Chiral Organolithiums / 3.2：
Inversion Dynamics of Chiral Organolithiums / 3.2.1：
Functionalized Organolithiums / 3.2.2：
Identifying the Stereochemically Defining Step / 3.2.3：
Asymmetric Deprotonations / 3.2.4：
Unstabilized Organolithiums / 3.2.5：
1,2- and 1,4-Additions to C=X Bonds / 4：
Cram's Rule: Open-Chain Model / 4.1：
The Karabatsos Model / 4.1.1：
Felkin's Experiments / 4.1.2：
The Bürgi-Dunitz Trajectory: A Digression / 4.1.3：
Back to the Cram's Rule Problem (Arm's Analysis) / 4.1.4：
Further Refinements / 4.1.5：
Cram's Rule: Rigid, Chelate, or Cyclic Model / 4.2：
Chiral Catalysts and Chiral Auxiliaries / 4.3：
Catalyzed Additions of Organometallic Compounds to Aldehydes / 4.3.1：
Addition of Organometallics to Azomethines / 4.3.2：
Additions of Organometallics to Pyridinium Ions / 4.3.3：
Hydrocyanations of Carbonyls / 4.3.4：
Hydrocyanations of Azomethines (the Strecker Reaction) / 4.3.5：
Conjugate Additions / 4.4：
Acyclic Esters and Ketones / 4.4.1：
Acyclic Amides and Imides / 4.4.2：
Cyclic Ketones and Lactones / 4.4.3：
Aldol and Michael Additions of Allyls, Enolates, and Enolate Equivalents / 5：
1,2-Allylations and Related Reactions / 5.1：
Simple Enantioselectivity / 5.1.1：
Simple Diastereoselectivity / 5.1.2：
Single Asymmetric Induction / 5.1.3：
Double Asymmetric Induction / 5.1.4：
Other Allyl Metals / 5.1.5：
Aldol Additions / 5.2：
Organocatalysis of the Aldol Reaction and its Variants / 5.2.1：
Double Asymmetric Induction and Beyond: Synthetic Applications of the Aldol Reaction / 5.2.4：
Michael Additions / 5.3：
Simple Diastereoselectivity: Basic Transition State Analysis / 5.3.1：
Chiral Donors / 5.3.2：
Chiral Michael Acceptors / 5.3.3：
Interligand Asymmetric Induction and Catalysis / 5.3.4：
Conjugate Addition of Nitrogen Nucleophiles / 5.3.5：
Cycloadditions and Rearrangements / 6：
Cycloadditions / 6.1：
The Diels-Alder Reaction / 6.1.1：
Hetero Diels-Alder Reaction / 6.1.2：
1,3-Dipolar Cycloadditions / 6.1.3：
[2 + l]-Cyclopropanations and Related Processes / 6.1.4：
Rearrangements / 6.2：
[1,3]-Hydrogen Shifts / 6.2.1：
[2,3]-Wittig Rearrangements / 6.2.2：
Other Rearrangements / 6.2.3：
Reductions and Hydroborations / 7：
Reduction of Carbon-Heteroatom Double Bonds / 7.1：
Modified Lithium Aluminum Hydride / 7.1.1：
Modified Borane / 7.1.2：
Chiral Organoboranes / 7.1.3：
Chiral Transition Metal Catalysts / 7.1.4：
Reduction of Carbon-Carbon Bonds / 7.2：
Hydroborations / 7.3：
Oxidations / 8：
Epoxidations and Related Reactions / 8.1：
Early Approaches / 8.1.1：
Epoxidations / 8.1.2：
Sharpless Kinetic Resolution / 8.1.3：
Some Applications of Asymmetric Epoxidation and Kinetic Resolution Procedures / 8.1.4：
Aziridinations / 8.1.5：
Asymmetric Dihydroxylation (AD) Reaction / 8.2：
Reaction Development / 8.2.1：
Applications of Enantioselective Dihydroxylations / 8.2.2：
α-Functionalization of Carbonyl Groups and Their Equivalents / 8.3：
Hydroxylations / 8.3.1：
Aminations and Halogenations / 8.3.2：
Miscellaneous Oxidations that Necessitate Differentiation of Enantiotopic Groups / 8.4：
Oxidation of Sulfides / 8.4.1：
Group-Selective Oxidation of C-H Bonds / 8.4.2：
Group-Selective Oxidative Ring Expansions / 8.4.3：
Index
Foreword
Preface
Introduction, General Principles, and Glossary of Stereochemical Terms / 1：
90.
ＥＢ
Xibei Yang, Jingyu Yang
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Springer eBooks Computer Science , Dordrecht : Springer Berlin Heidelberg, 2012
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Indiscernibility Relation Based Rough Sets / Part I：
Indiscernibility Relation, Rough Sets and Information System / Chapter 1：
Pawlak's Rough Approximation / 1.1：
Rough Set / 1.1.1：
Uncertainty Measurements and Knowledge Granulation / 1.1.2：
Knowledge Reductions / 1.1.3：
Knowledge Dependency / 1.1.4：
Variable Precision Rough Set / 1.2：
Inclusion Error and Variable Precision Rough Set / 1.2.1：
Several Reducts in Variable Precision Rough Set / 1.2.2：
Multigranulation Rough Set / 1.3：
Optimistic Multigranulation Rough Set / 1.3.1：
Pessimistic Multigranulation Rough Set / 1.3.2：
Multigranulation Rough Memberships / 1.3.3：
Hierarchical Structures on Multigranulation Spaces / 1.4：
Definitions of Three Hierarchical Structures / 1.4.1：
Relationships Between Hierarchical Structures and Multigranulation Rough Sets / 1.4.2：
Information System / 1.5：
Information System and Rough Set / 1.5.1：
Rough Sets in Multiple-source Information Systems / 1.5.2：
Several Reducts in Decision System / 1.5.3：
Conclusions / 1.6：
References
Incomplete Information Systems and Rough Sets / Part II：
Expansions of Rough Sets in Incomplete Information Systems / Chapter 2：
Tolerance Relation Based Rough Set Approach / 2.1：
Tolerance Relation and Its Reducts / 2.1.1：
Tolerance Relation Based Rough Set and Generalized Decision Reduct / 2.1.2：
Valued Tolerance Relation Based Rough Set Approach / 2.2：
Valued Tolerance Relation / 2.2.1：
Valued Tolerance Relation Based Fuzzy Rough Set / 2.2.2：
Maximal Consistent Block Based Rough Set Approach / 2.3：
Maximal Consistent Block and Its Reducts / 2.3.1：
Maximal Consistent Block Based Rough Set and Approximate Distribution Reducts / 2.3.2：
Descriptor Based Rough Set / 2.4：
Descriptor and Reduct Descriptor / 2.4.1：
Descriptor Based Rough Set and Generalized Decision Reduct of Descriptor / 2.4.2：
Similarity Relation Based Rough Set Approach / 2.5：
Similarity Relation and Similarity Based Rough Set / 2.5.1：
Approximate Distribution Reducts in Similarity Relation Based Rough Set / 2.5.2：
Difference Relation Based Rough Set Approach / 2.6：
Difference Relation and Its Reducts / 2.6.1：
Rough Set Based on Difference Relation / 2.6.2：
Approximate Distribution Reducts in Difference Relation Based Rough Set / 2.6.3：
Limited Tolerance Relation Based Rough Set Approach / 2.7：
Limited Tolerance Relation / 2.7.1：
Limited Tolerance Relation Based Rough Set / 2.7.2：
Characteristic Relation Based Rough Set Approach / 2.8：
Characteristic Relation and Characteristic Relation Based Rough Set / 2.8.1：
Approximate Distribution Reducts in Characteristic Relation Based Rough Set / 2.8.2：
Neighborhood System and Rough Set in Incomplete Information System / 2.9：
Neighborhood System / 3.1：
From Granular Computing to Neighborhood System / 3.1.1：
Binary Neighborhood System / 3.1.2：
Covering and Neighborhood System / 3.1.3：
Fuzzy Neighborhood System / 3.1.4：
Neighborhood System and Topological Space / 3.1.5：
Knowledge Operation in Neighborhood System / 3.1.6：
Neighborhood System and Rough Approximations / 3.2：
Neighborhood System Based Rough Sets / 3.2.1：
Relationship Between Neighborhood System Based Rough Set and VPRS / 3.2.2：
Neighborhood System Based Rough Approximations in Incomplete Information System / 3.2.3：
Reducts Neighborhood Systems / 3.3：
Reducts Neighborhood Systems in Incomplete Information System / 3.3.1：
Neighborhood Systems Based Approximate Distribution Reducts / 3.3.2：
Dominance-based Rough Sets and Incomplete Information Systems / 3.4：
Dominance-based Rough Sets in "*" Incomplete Information System / Chapter 4：
Dominance-based Rough Set / 4.1：
Expanded Dominance-based Rough Set in Incomplete Information System with "*" Unknown Values / 4.2：
Valued Dominance-based Fuzzy Rough Set Approach / 4.3：
Valued Dominance Relation / 4.3.1：
Fuzzy Rough Approximations / 4.3.2：
Extraction of Decision Rules / 4.3.3：
↑ and ↓ Descriptors and Certain Rules / 4.4：
Definition of ↑ and ↓ Descriptors / 4.4.1：
Reduct of ↑ and ↓ Descriptors / 4.4.2：
↑ and ↓ Certain Rules / 4.4.3：
Optimal ↑ and ↓ Certain Rules / 4.4.4：
An Illustrative Example / 4.4.5：
Limited Dominance-based Rough Set Approach / 4.5：
Limited Dominance-based Rough Set / 4.5.1：
Comparisons Between Expanded and Limited Dominance-based Rough Sets / 4.5.2：
Dominance-based Rough Sets in "?" Incomplete Information System / 4.6：
Similarity Dominance Relation / 5.1：
Definition of Similarity Dominance Relation / 5.1.1：
Reducts of Similarity Dominance Relations / 5.1.2：
Similarity Dominance-based Rough Set and Approximate Distribution Reducts / 5.2：
Similarity Dominance-based Rough Set / 5.2.1：
Approximate Distribute Reducts in Similarity Dominance-based Rough Set / 5.2.2：
Similarity Dominance-based Rough Sets in Fuzzy Decision System / 5.3：
Similarity Dominance-based Rough Fuzzy Set / 5.3.1：
Relative Approximate Distribution Reducts of Similarity Dominance-based Rough Fuzzy Set / 5.3.2：
Incomplete Information Systems and Multigranulation Rough Sets / 5.4：
Multigranulation Rough Sets in Incomplete Information System / Chapter 6：
Tolerance Relations Based Multigranulation Rough Sets / 6.1：
Optimistic and Pessimistic Tolerance Relations Based Multigranulation Rough Sets / 6.1.1：
Properties of Multigranulation Rough Sets Based on Tolerance Relations / 6.1.2：
Comparisons Among Several Rough Sets / 6.1.3：
Approximation Distribution Reducts in Tolerance Relations Based Multigranulation Rough Sets / 6.1.4：
Similarity Relations Based Multigranulation Rough Sets / 6.2：
Optimistic and Pessimistic Similarity Relations Based Multigranulation Rough Sets / 6.2.1：
Properties of Multigranulation Rough Sets Based on Similarity Relations / 6.2.2：
Approximate Distribution Reducts in Similarity Relations Based Multigranulation Rough Sets / 6.2.3：
Glossary / 6.3：
Index
Indiscernibility Relation Based Rough Sets / Part I：
Indiscernibility Relation, Rough Sets and Information System / Chapter 1：
Pawlak's Rough Approximation / 1.1：
91.
ＥＢ
Joseph C. Akunna
出版情報:
Taylor & Francis Group, 2018 1 online resource (137 p. ; 24 cm)
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Preface
Abbreviations
Author
Biological Treatment Processes / 1：
Process Fundamentals / 1.1：
Anaerobic Processes / 1.2：
Process Description / 1.2.1：
Biomass Production / 1.2.2：
Factors Affecting Process Efficiency / 1.2.3：
Start-Up Inoculum / 1.2.3.1：
Waste Organic Content and Biodegradability / 1.2.3.2：
Nutrient Availability / 1.2.3.3：
pH and Alkalinity / 1.2.3.4：
Temperature / 1.2.3.5：
Solids and Hydraulic Retention Times / 1.2.3.6：
Organic Loading Rate / 1.2.3.7：
Toxic Compounds / 1.2.3.8：
Treatment Configuration: Single- and Multi-Stage Systems / 1.2.3.9：
Applications, Benefits, and Drawbacks / 1.2.4：
Aerobic Processes / 1.3：
Wastewater Treatment / 1.3.1：
Aerobic Digestion or Composting / 1.3.3：
Aerobic versus Anaerobic Processes / 1.3.4：
Anoxic Processes / 1.4：
Anaerobic Wastewater Treatment / 2：
Applications and Limitations / 2.1：
Wastewater Biodegradability / 2.2：
Wastewater Pretreatment / 2.3：
Flow Equalization / 2.3.1：
pH Correction / 2.3.2：
Nutrient Balance / 2.3.3：
Temperature Control / 2.3.4：
Solids Reduction / 2.3.5：
Reduction of Toxic Compounds / 2.3.6：
Process Variations / 2.4：
System Configuration / 2.5：
Process Design and Operational Control / 2.6：
Hydraulic Retention Time (HRT) / 2.6.1：
Solids Retention Time (SRT) / 2.6.2：
Hydraulic Loading Rate (HLR) / 2.6.3：
Organic Loading Rate (OLR) / 2.6.4：
Food/Microorganism Ratio / 2.6.5：
Specific Biogas Yield / 2.6.6：
Specific Biogas Production Rate (BPR) / 2.6.7：
Treatment Efficiency / 2.6.8：
Performance and Process Monitoring Indicators / 2.6.9：
Foaming and Control / 2.8：
Anaerobic Digestion (AD) of Organic Solid Residues and Biosolids / 3：
Applications, Benefits, and Challenges / 3.1：
Mono- and Co-Digestion / 3.2：
Standard Rate Digestion / 3.3：
High-Rate Digestion / 3.3.2：
Low-Solids Digestion / 3.3.3：
High-Solids (or "Dry") Digestion / 3.3.4：
Combined Anaerobic-Aerobic System / 3.3.5：
Process Design, Performance, and Operational Control / 3.4：
Feedstock C/N Ratio / 3.4.1：
Retention Time (RT) / 3.4.2：
Solids Loading Rate (SLR) / 3.4.3：
Biogas Production and Operational Criteria / 3.5：
Modes of Operation / 3.6：
Batch Operation / 3.6.1：
Semi-Continuous Operation / 3.6.2：
Continuous Operation / 3.6.3：
Pretreatment in Anaerobic Treatment / 4：
Need for Pretreatment / 4.1：
Mechanical Pretreatment / 4.2：
Collection and Segregation / 4.2.1：
Size Reduction / 4.2.2：
Ultrasound (US) / 4.2.3：
Biological Pretreatment / 4.3：
Aerobic Composting or Digestion / 4.3.1：
Fungi / 4.3.3：
Enzymatic Hydrolysis / 4.3.4：
Bio-Augmentation / 4.3.5：
Bio-Supplementation / 4.3.6：
Chemical Pretreatment / 4.4：
Acid and Alkaline / 4.4.1：
Ozonation / 4.4.2：
Thermal / 4.5：
High Temperature / 4.5.1：
Wet Air Oxidation / 4.5.2：
Pyrolysis / 4.5.3：
Microwave (MW) Irradiation / 4.5.4：
Combined Processes / 4.6：
Thermochemical Pretreatment / 4.6.1：
Thermomechanical Pretreatment / 4.6.2：
Extrusion / 4.6.3：
Summary of Common Pretreatments / 4.7：
Assessing the Effects of Pretreatment / 4.8：
Chemical Analysis / 4.8.1：
Biochemical Methane Potential / 4.8.2：
Posttreatment, Reuse, and Management of Co-Products / 5：
Biogas / 5.1：
Biogas Utilization / 5.1.1：
Biogas Treatment / 5.1.2：
Moisture and Particulates Reduction / 5.1.2.1：
Biogas Upgrading / 5.1.2.2：
Hydrogen Sulfide Removal / 5.1.2.3：
Simultaneous Removal of CO2 and H2 S / 5.1.2.4：
Siloxanes Occurrence and Removal / 5.1.2.5：
Health and Safety Considerations / 5.1.3：
Liquid Effluents / 5.2：
Digestate Management and Disposal / 5.3：
Characteristics and Management Options / 5.3.1：
Aerobic Composting / 5.3.2：
Disinfection / 5.3.3：
Applications in Warm Climates and Developing Countries / 6：
Characteristics of Warm Climatic Conditions / 6.1：
Characteristics of Developing Countries / 6.2：
Waste and Wastewater Characteristics / 6.3：
Large-Scale Systems / 6.4：
Micro-Scale Systems / 6.4.2：
Waste Stabilization Ponds / 6.4.3：
Solid Wastes and Slurries Treatment / 6.5：
Case Studies / 7：
Brewery Wastewater Treatment Using the Granular Bed Anaerobic Baffled Reactor (GRABBR) / 7.1：
Seaweed Anaerobic Digestion / 7.2：
Seaweed Anaerobic Co-Digestion / 7.3：
Worked Examples on Anaerobic Wastewater Treatment / Appendix A：
Worked Examples on Anaerobic Digestion of Solid Wastes and Biosolids / Appendix B：
References and Further Reading
Subject Index
Preface
Abbreviations
Author
92.
ＥＢ
Xibei Yang, Jingyu Yang
出版情報:
SpringerLink Books - AutoHoldings , Dordrecht : Springer Berlin Heidelberg, 2012
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Indiscernibility Relation Based Rough Sets / Part I：
Indiscernibility Relation, Rough Sets and Information System / Chapter 1：
Pawlak's Rough Approximation / 1.1：
Rough Set / 1.1.1：
Uncertainty Measurements and Knowledge Granulation / 1.1.2：
Knowledge Reductions / 1.1.3：
Knowledge Dependency / 1.1.4：
Variable Precision Rough Set / 1.2：
Inclusion Error and Variable Precision Rough Set / 1.2.1：
Several Reducts in Variable Precision Rough Set / 1.2.2：
Multigranulation Rough Set / 1.3：
Optimistic Multigranulation Rough Set / 1.3.1：
Pessimistic Multigranulation Rough Set / 1.3.2：
Multigranulation Rough Memberships / 1.3.3：
Hierarchical Structures on Multigranulation Spaces / 1.4：
Definitions of Three Hierarchical Structures / 1.4.1：
Relationships Between Hierarchical Structures and Multigranulation Rough Sets / 1.4.2：
Information System / 1.5：
Information System and Rough Set / 1.5.1：
Rough Sets in Multiple-source Information Systems / 1.5.2：
Several Reducts in Decision System / 1.5.3：
Conclusions / 1.6：
References
Incomplete Information Systems and Rough Sets / Part II：
Expansions of Rough Sets in Incomplete Information Systems / Chapter 2：
Tolerance Relation Based Rough Set Approach / 2.1：
Tolerance Relation and Its Reducts / 2.1.1：
Tolerance Relation Based Rough Set and Generalized Decision Reduct / 2.1.2：
Valued Tolerance Relation Based Rough Set Approach / 2.2：
Valued Tolerance Relation / 2.2.1：
Valued Tolerance Relation Based Fuzzy Rough Set / 2.2.2：
Maximal Consistent Block Based Rough Set Approach / 2.3：
Maximal Consistent Block and Its Reducts / 2.3.1：
Maximal Consistent Block Based Rough Set and Approximate Distribution Reducts / 2.3.2：
Descriptor Based Rough Set / 2.4：
Descriptor and Reduct Descriptor / 2.4.1：
Descriptor Based Rough Set and Generalized Decision Reduct of Descriptor / 2.4.2：
Similarity Relation Based Rough Set Approach / 2.5：
Similarity Relation and Similarity Based Rough Set / 2.5.1：
Approximate Distribution Reducts in Similarity Relation Based Rough Set / 2.5.2：
Difference Relation Based Rough Set Approach / 2.6：
Difference Relation and Its Reducts / 2.6.1：
Rough Set Based on Difference Relation / 2.6.2：
Approximate Distribution Reducts in Difference Relation Based Rough Set / 2.6.3：
Limited Tolerance Relation Based Rough Set Approach / 2.7：
Limited Tolerance Relation / 2.7.1：
Limited Tolerance Relation Based Rough Set / 2.7.2：
Characteristic Relation Based Rough Set Approach / 2.8：
Characteristic Relation and Characteristic Relation Based Rough Set / 2.8.1：
Approximate Distribution Reducts in Characteristic Relation Based Rough Set / 2.8.2：
Neighborhood System and Rough Set in Incomplete Information System / 2.9：
Neighborhood System / 3.1：
From Granular Computing to Neighborhood System / 3.1.1：
Binary Neighborhood System / 3.1.2：
Covering and Neighborhood System / 3.1.3：
Fuzzy Neighborhood System / 3.1.4：
Neighborhood System and Topological Space / 3.1.5：
Knowledge Operation in Neighborhood System / 3.1.6：
Neighborhood System and Rough Approximations / 3.2：
Neighborhood System Based Rough Sets / 3.2.1：
Relationship Between Neighborhood System Based Rough Set and VPRS / 3.2.2：
Neighborhood System Based Rough Approximations in Incomplete Information System / 3.2.3：
Reducts Neighborhood Systems / 3.3：
Reducts Neighborhood Systems in Incomplete Information System / 3.3.1：
Neighborhood Systems Based Approximate Distribution Reducts / 3.3.2：
Dominance-based Rough Sets and Incomplete Information Systems / 3.4：
Dominance-based Rough Sets in "*" Incomplete Information System / Chapter 4：
Dominance-based Rough Set / 4.1：
Expanded Dominance-based Rough Set in Incomplete Information System with "*" Unknown Values / 4.2：
Valued Dominance-based Fuzzy Rough Set Approach / 4.3：
Valued Dominance Relation / 4.3.1：
Fuzzy Rough Approximations / 4.3.2：
Extraction of Decision Rules / 4.3.3：
↑ and ↓ Descriptors and Certain Rules / 4.4：
Definition of ↑ and ↓ Descriptors / 4.4.1：
Reduct of ↑ and ↓ Descriptors / 4.4.2：
↑ and ↓ Certain Rules / 4.4.3：
Optimal ↑ and ↓ Certain Rules / 4.4.4：
An Illustrative Example / 4.4.5：
Limited Dominance-based Rough Set Approach / 4.5：
Limited Dominance-based Rough Set / 4.5.1：
Comparisons Between Expanded and Limited Dominance-based Rough Sets / 4.5.2：
Dominance-based Rough Sets in "?" Incomplete Information System / 4.6：
Similarity Dominance Relation / 5.1：
Definition of Similarity Dominance Relation / 5.1.1：
Reducts of Similarity Dominance Relations / 5.1.2：
Similarity Dominance-based Rough Set and Approximate Distribution Reducts / 5.2：
Similarity Dominance-based Rough Set / 5.2.1：
Approximate Distribute Reducts in Similarity Dominance-based Rough Set / 5.2.2：
Similarity Dominance-based Rough Sets in Fuzzy Decision System / 5.3：
Similarity Dominance-based Rough Fuzzy Set / 5.3.1：
Relative Approximate Distribution Reducts of Similarity Dominance-based Rough Fuzzy Set / 5.3.2：
Incomplete Information Systems and Multigranulation Rough Sets / 5.4：
Multigranulation Rough Sets in Incomplete Information System / Chapter 6：
Tolerance Relations Based Multigranulation Rough Sets / 6.1：
Optimistic and Pessimistic Tolerance Relations Based Multigranulation Rough Sets / 6.1.1：
Properties of Multigranulation Rough Sets Based on Tolerance Relations / 6.1.2：
Comparisons Among Several Rough Sets / 6.1.3：
Approximation Distribution Reducts in Tolerance Relations Based Multigranulation Rough Sets / 6.1.4：
Similarity Relations Based Multigranulation Rough Sets / 6.2：
Optimistic and Pessimistic Similarity Relations Based Multigranulation Rough Sets / 6.2.1：
Properties of Multigranulation Rough Sets Based on Similarity Relations / 6.2.2：
Approximate Distribution Reducts in Similarity Relations Based Multigranulation Rough Sets / 6.2.3：
Glossary / 6.3：
Index
Indiscernibility Relation Based Rough Sets / Part I：
Indiscernibility Relation, Rough Sets and Information System / Chapter 1：
Pawlak's Rough Approximation / 1.1：
93.
ＥＢ
Risto Sarvas, Frohlich David, David M. Frohlich
出版情報:
Springer eBooks Computer Science , Springer London, 2011
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Introduction / 1：
Domestic Photography and Technological Paths / 2：
What IS Domestic Photography? / 2.1：
The Practice: Constructing Positive Images / 2.1.1：
The Technology: Capturing and Creating an Image / 2.1.2：
The Business: Camera, Film. and Service / 2.1.3：
Technological Paths in Domestic Photography / 2.2：
The Cyclical Evolution of Technology / 2.2.1：
Technological Paths / 2.2.2：
Three Technological Paths in Domestic Photography / 2.2.3：
References
The Portrait Path (ca. 1830s-1890s) / 3：
The Invention of Photography in the 1830s / 3.1：
Competing Technical Processes / 3.1.1：
Selling Portraits and Landscapes / 3.1.2：
Cartes / 3.2：
Introduction / 1：
Domestic Photography and Technological Paths / 2：
What IS Domestic Photography? / 2.1：
94.
ＥＢ
Risto Sarvas, Frohlich David, David M. Frohlich
出版情報:
SpringerLink Books - AutoHoldings , Springer London, 2011
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Introduction / 1：
Domestic Photography and Technological Paths / 2：
What IS Domestic Photography? / 2.1：
The Practice: Constructing Positive Images / 2.1.1：
The Technology: Capturing and Creating an Image / 2.1.2：
The Business: Camera, Film. and Service / 2.1.3：
Technological Paths in Domestic Photography / 2.2：
The Cyclical Evolution of Technology / 2.2.1：
Technological Paths / 2.2.2：
Three Technological Paths in Domestic Photography / 2.2.3：
References
The Portrait Path (ca. 1830s-1890s) / 3：
The Invention of Photography in the 1830s / 3.1：
Competing Technical Processes / 3.1.1：
Selling Portraits and Landscapes / 3.1.2：
Cartes / 3.2：
Introduction / 1：
Domestic Photography and Technological Paths / 2：
What IS Domestic Photography? / 2.1：
95.
ＥＢ
Katinka Wolter
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2010
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Introduction / Part I：
Basic Concepts and Problems / 1：
The Timeout Problem / 1.1：
System and Fault Models / 1.2：
Preventive Maintenance / 1.3：
Note on Terminology / 1.4：
Outline / 1.5：
Task Completion Time / 2：
Bounded Downtime / 2.1：
System Lifetime / 2.1.1：
Cumulative Uptime / 2.1.2：
Probability of Task Completion / 2.1.3：
Bounded Accumulated Downtime / 2.2：
system Lifetime / 2.2.1：
Bounded Number of Failures / 2.2.2：
Restart / 2.3.1：
Applicability Analysis of Restart / 3：
Applications of Restart / 3.1：
Randomised Algorithms / 3.1.1：
Optimal Restart Time for a Randomised Algorithm / 3.1.2：
Failure Detectors / 3.1.3：
Congestion Control in TCP / 3.1.4：
Criteria for Successful Restarts / 3.2：
When Does Restart Improve the Expected Completion Time? / 3.2.1：
When Does Restart Improve the Probability of Meeting a Deadline? / 3.2.2：
Conclusions / 3.3：
Moments of Completion Time Under Restart / 4：
The Information Captured by the Moments of a Distribution / 4.1：
Models for Moments of Completion Time / 4.2：
Unbounded Number of Restarts / 4.2.1：
Finite Number of Restarts / 4.2.2：
Optimal Restart Times for the Moments of Completion Time / 4.3：
Expected Completion Time / 4.3.1：
Optimal Restart Times for Higher Moments / 4.3.2：
Case Study: Optimising Expected Completion Time in Web Services Reliable Messaging / 4.4：
Metrics for the Fairness-Timeliness tradeoff / 4.4.1：
Oracles for Restart / 4.4.2：
Results / 4.4.3：
HTTP Transport / 4.5：
60 s Disruption / 4.5.1：
Packet Loss / 4.5.2：
Mail Transport / 4.5.3：
Meeting Deadlines Through Restart / 5：
A Model for the Probability of Meeting a Deadline Under Restart / 5.1：
Algorithms for Optimal Restart Times / 5.2：
An Engineering Rule to Approximate the Optimal Restart Time / 5.3：
Towards Online Restart for Self-Management of Systems / 5.4：
Estimating the Hazard Rate / 5.4.1：
Experiments / 5.4.2：
Software Rejuvenation / Part III：
Practical Aspects of Preventive Maintenance and Software Rejuvenation / 6：
Stochastic Models for Preventive Maintenance and Software Rejuvenation / 6.1：
A Markovian Software Rejuvenation Model / 7.1：
Aging in the Modelling of Software Rejuvenation / 7.2：
Behaviour in State A under Policy I / 7.2.1：
Behaviour in State A under Policy II / 7.2.2：
A Petri Net Model / 7.3：
A Non-Markovian Preventive Maintenance Model / 7.4：
Stochastic Processes for Shock and Inspection-Based Modelling / 7.5：
The Inspection Model with Alert Threshold Policy / 7.5.1：
The Shock Model with a Risk Policy / 7.5.2：
Inspection-Based Modelling using the Möbius Modelling Tool / 7.6：
Comparative Summary of the Stochastic Models / 7.7：
Further Reading / 7.8：
Checkpointing / Part IV：
Checkpointing Systems / 8：
Checkpointing Single-Unit Systems / 8.1：
Checkpointing in Distributed Systems / 8.2：
Stochastic Models for Checkpointing / 9：
Checkpointing at Program Level / 9.1：
Equidistant Checkpointing / 9.1.1：
Checkpointing Real-Time Tasks / 9.1.2：
Random Checkpointing Intervals / 9.1.3：
Algorithms for Optimum Checkpoint Selection / 9.1.4：
Checkpointing at System Level / 9.2：
Analytic Models for Checkpointing Transaction-Based Systems / 9.2.1：
Checkpointing Policies for Transaction-Based Systems / 9.2.2：
A Queueing Model for Checkpointing Transaction-Based Systems / 9.2.3：
A Trade-Off Metric for Optimal Checkpoint Selection / 9.3：
Summary / 9.4：
Summary, Conclusion and Outlook / 10：
Properties in Discrete Systems / A：
Cumulative First Moment / A.1：
The Gamma Function / A.2：
Important Probability Distributions / B：
Discrete Probability Distributions / B.1：
The Binomial Distribution / B.1.1：
The Multinomial Distribution / B.1.2：
The Geometric Distribution / B.1.3：
The Poisson Distribution / B.1.4：
Continuous Probability Distributions / B.2：
The Exponential Distribution / B.2.1：
The Erlang Distribution and the Hypo-exponential Distribution / B.2.2：
The Hyperexponential Distribution / B.2.3：
The Mixed Hyper/Hypo-exponential Distribution / B.2.4：
The Weibull Distribution / B.2.5：
The Lognormal Distribution / B.2.6：
Cumulative Hazard Rate / C：
Epanechnikov Kernel / C.2：
Bandwidth Estimation / C.3：
The Laplace and the Laplace-Stieltjes Transform / D：
References
Index
Glossary
Introduction / Part I：
Basic Concepts and Problems / 1：
The Timeout Problem / 1.1：
96.
ＥＢ
Wenji Mao, Fei-Yue Wang, FeiYue Wang
出版情報:
Elsevier ScienceDirect Books , Burlington : Academic Press, 2013
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Preface
Acknowledgements
Intelligence and Security Informatics: Research Frameworks / Chapter 1：
Research Methodology and Frameworks for ISI / 1.1：
The ACP Approach / 1.2：
Modeling with Artificial Societies / 1.2.1：
Analysis with Computational Experiments / 1.2.2：
Control Through Parallel Execution / 1.2.3：
Foundations in Philosophy and Physics / 1.2.4：
Outline of Chapters / 1.3：
Agent Modeling of Terrorist Organization Behavior / Chapter 2：
Modeling Organizational Behavior / 2.1：
Action Extraction from the Web / 2.2：
Action Data Collection / 2.2.1：
Raw Action Extraction / 2.2.2：
Action Elimination / 2.2.3：
Action Refinement / 2.2.4：
Extracting Causal Knowledge from the Web / 2.3：
Construction of Action Hierarchy / 2.4：
Designing, Causal Scenarios / 2.5：
Case Study on Terrorist Organization / 2.6：
Conclusion / 2.7：
Security Story Generation for Computational Experiments / Chapter 3：
Story Generation Systems / 3.1：
System Workflow and Narrative Structure / 3.2：
Story Extraction Approach / 3.3：
Text Processing with Domain Knowledge / 3.3.1：
Event Detection and Event Element Extraction / 3.3.2：
Design and Organization of Patterns / 3.3.3：
Event Element Standardization / 3.3.4：
Evaluation of Event Relations / 3.3.5：
Experiment / 3.4：
Forecasting Croup Behavior via Probabilistic Plan Inference / 3.5：
Review of Plan-Based Inference / 4.1：
Probabilistic Plan Representation / 4.2：
Probabilistic Reasoning Approach / 4.3：
Notation / 4.3.1：
Computation / 4.3.2：
Case Study in Security Informatics / 4.4：
Construction of Plan Library / 4.4.1：
The Test Set / 4.4.2：
Experimental Results / 4.4.3：
Forecasting Complex Croup Behavior via Multiple Plan Recognition / 4.5：
Multiple Plan Recognition for Behavior Prediction / 5.1：
The MPR Problem Definition / 5.2：
The Proposed MPR Approach / 5.3：
Constructing the Explanation Graph / 5.3.1：
Computing Probability of an Explanation / 5.3.2：
Finding the Best Explanation / 5.3.3：
Algorithm and Complexity Analysis / 5.3.4：
Discussion / 5.3.5：
Experimental Design / 5.4：
Results / 5.4.2：
Social Computing in ISI: A Synthetic View / 5.5：
Social Computing / 6.1：
Theoretical and Infrastructure Underpinnings / 6.1.1：
Major Application Areas / 6.1.2：
A Social Computing-Based ISI Research Framework / 6.2：
Control and Management Through Parallel Execution / 6.2.1：
Main Issues in the ACP-Based ISI Research Framework / 6.3：
Modeling Cyber-Physical Societies / 6.3.1：
Scenario-Based Computational Experiment and Evaluation / 6.3.2：
Interactive Co-Evolution of Artificial and Actual Systems / 6.3.3：
Social Media Information Processing and Standardization / 6.3.4：
ISI Research Platform / 6.3.5：
Summary / 6.4：
Cyber-Enabled Social Movement Organizations / Chapter 7：
Studies on Social Movement Organizations: A Review / 7.1：
A New Research Framework for CeSMOs / 7.2：
CeSMO Research Questions / 7.2.1：
A Social Computing-Based CeSMO Research Framework / 7.2.2：
Case Study: Wenchuan Earthquake / 7.3：
Discussions on CeSMO Research Issues / 7.4：
CeSMO Behavior Modeling / 7.4.1：
CeSMO Network Analysis / 7.4.2：
CeSMO Social and Cultural Information Modeling and Analysis / 7.4.3：
CeSMO Behavior Prediction / 7.4.4：
Cultural Modeling for Behavior Analysis and Prediction / 7.5：
Modeling Cultural Data in Security Informatics / 8.1：
Major Machine Learning Methods / 8.2：
Naive Bayesian (NB) / 8.2.1：
Support Vector Machines (SVMs) / 8.2.2：
Artificial Neural Networks / 8.2.3：
k-Nearest Neighbor (kNN) / 8.2.4：
Decision Trees / 8.2.5：
Random Forest (RF) / 8.2.6：
Associative Classification (AC) / 8.2.7：
Experiment and Analysis / 8.3：
Datasets / 8.3.1：
Evaluation Measures / 8.3.2：
Observations and Analysis / 8.3.3：
Discussions on Cultural Modeling Research Issues / 8.4：
Cultural Datasets Construction / 8.4.1：
Attribute Selection / 8.4.2：
Best Performance of Classifiers / 8.4.3：
Handling the Class Imbalance Problem / 8.4.4：
Model Interpretability / 8.4.5：
Incorporation of Domain Knowledge / 8.4.6：
Cultural and Social Dynamics of Behavioral Patterns / 8.4.7：
Index / 8.5：
Preface
Acknowledgements
Intelligence and Security Informatics: Research Frameworks / Chapter 1：
97.
ＥＢ
Katinka Wolter
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2010
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Introduction / Part I：
Basic Concepts and Problems / 1：
The Timeout Problem / 1.1：
System and Fault Models / 1.2：
Preventive Maintenance / 1.3：
Note on Terminology / 1.4：
Outline / 1.5：
Task Completion Time / 2：
Bounded Downtime / 2.1：
System Lifetime / 2.1.1：
Cumulative Uptime / 2.1.2：
Probability of Task Completion / 2.1.3：
Bounded Accumulated Downtime / 2.2：
system Lifetime / 2.2.1：
Bounded Number of Failures / 2.2.2：
Restart / 2.3.1：
Applicability Analysis of Restart / 3：
Applications of Restart / 3.1：
Randomised Algorithms / 3.1.1：
Optimal Restart Time for a Randomised Algorithm / 3.1.2：
Failure Detectors / 3.1.3：
Congestion Control in TCP / 3.1.4：
Criteria for Successful Restarts / 3.2：
When Does Restart Improve the Expected Completion Time? / 3.2.1：
When Does Restart Improve the Probability of Meeting a Deadline? / 3.2.2：
Conclusions / 3.3：
Moments of Completion Time Under Restart / 4：
The Information Captured by the Moments of a Distribution / 4.1：
Models for Moments of Completion Time / 4.2：
Unbounded Number of Restarts / 4.2.1：
Finite Number of Restarts / 4.2.2：
Optimal Restart Times for the Moments of Completion Time / 4.3：
Expected Completion Time / 4.3.1：
Optimal Restart Times for Higher Moments / 4.3.2：
Case Study: Optimising Expected Completion Time in Web Services Reliable Messaging / 4.4：
Metrics for the Fairness-Timeliness tradeoff / 4.4.1：
Oracles for Restart / 4.4.2：
Results / 4.4.3：
HTTP Transport / 4.5：
60 s Disruption / 4.5.1：
Packet Loss / 4.5.2：
Mail Transport / 4.5.3：
Meeting Deadlines Through Restart / 5：
A Model for the Probability of Meeting a Deadline Under Restart / 5.1：
Algorithms for Optimal Restart Times / 5.2：
An Engineering Rule to Approximate the Optimal Restart Time / 5.3：
Towards Online Restart for Self-Management of Systems / 5.4：
Estimating the Hazard Rate / 5.4.1：
Experiments / 5.4.2：
Software Rejuvenation / Part III：
Practical Aspects of Preventive Maintenance and Software Rejuvenation / 6：
Stochastic Models for Preventive Maintenance and Software Rejuvenation / 6.1：
A Markovian Software Rejuvenation Model / 7.1：
Aging in the Modelling of Software Rejuvenation / 7.2：
Behaviour in State A under Policy I / 7.2.1：
Behaviour in State A under Policy II / 7.2.2：
A Petri Net Model / 7.3：
A Non-Markovian Preventive Maintenance Model / 7.4：
Stochastic Processes for Shock and Inspection-Based Modelling / 7.5：
The Inspection Model with Alert Threshold Policy / 7.5.1：
The Shock Model with a Risk Policy / 7.5.2：
Inspection-Based Modelling using the Möbius Modelling Tool / 7.6：
Comparative Summary of the Stochastic Models / 7.7：
Further Reading / 7.8：
Checkpointing / Part IV：
Checkpointing Systems / 8：
Checkpointing Single-Unit Systems / 8.1：
Checkpointing in Distributed Systems / 8.2：
Stochastic Models for Checkpointing / 9：
Checkpointing at Program Level / 9.1：
Equidistant Checkpointing / 9.1.1：
Checkpointing Real-Time Tasks / 9.1.2：
Random Checkpointing Intervals / 9.1.3：
Algorithms for Optimum Checkpoint Selection / 9.1.4：
Checkpointing at System Level / 9.2：
Analytic Models for Checkpointing Transaction-Based Systems / 9.2.1：
Checkpointing Policies for Transaction-Based Systems / 9.2.2：
A Queueing Model for Checkpointing Transaction-Based Systems / 9.2.3：
A Trade-Off Metric for Optimal Checkpoint Selection / 9.3：
Summary / 9.4：
Summary, Conclusion and Outlook / 10：
Properties in Discrete Systems / A：
Cumulative First Moment / A.1：
The Gamma Function / A.2：
Important Probability Distributions / B：
Discrete Probability Distributions / B.1：
The Binomial Distribution / B.1.1：
The Multinomial Distribution / B.1.2：
The Geometric Distribution / B.1.3：
The Poisson Distribution / B.1.4：
Continuous Probability Distributions / B.2：
The Exponential Distribution / B.2.1：
The Erlang Distribution and the Hypo-exponential Distribution / B.2.2：
The Hyperexponential Distribution / B.2.3：
The Mixed Hyper/Hypo-exponential Distribution / B.2.4：
The Weibull Distribution / B.2.5：
The Lognormal Distribution / B.2.6：
Cumulative Hazard Rate / C：
Epanechnikov Kernel / C.2：
Bandwidth Estimation / C.3：
The Laplace and the Laplace-Stieltjes Transform / D：
References
Index
Glossary
Introduction / Part I：
Basic Concepts and Problems / 1：
The Timeout Problem / 1.1：
98.
ＥＢ
Wenji Mao, Fei-Yue Wang, FeiYue Wang
出版情報:
Elsevier ScienceDirect Books Complete , Burlington : Academic Press, 2013
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Preface
Acknowledgements
Intelligence and Security Informatics: Research Frameworks / Chapter 1：
Research Methodology and Frameworks for ISI / 1.1：
The ACP Approach / 1.2：
Modeling with Artificial Societies / 1.2.1：
Analysis with Computational Experiments / 1.2.2：
Control Through Parallel Execution / 1.2.3：
Foundations in Philosophy and Physics / 1.2.4：
Outline of Chapters / 1.3：
Agent Modeling of Terrorist Organization Behavior / Chapter 2：
Modeling Organizational Behavior / 2.1：
Action Extraction from the Web / 2.2：
Action Data Collection / 2.2.1：
Raw Action Extraction / 2.2.2：
Action Elimination / 2.2.3：
Action Refinement / 2.2.4：
Extracting Causal Knowledge from the Web / 2.3：
Construction of Action Hierarchy / 2.4：
Designing, Causal Scenarios / 2.5：
Case Study on Terrorist Organization / 2.6：
Conclusion / 2.7：
Security Story Generation for Computational Experiments / Chapter 3：
Story Generation Systems / 3.1：
System Workflow and Narrative Structure / 3.2：
Story Extraction Approach / 3.3：
Text Processing with Domain Knowledge / 3.3.1：
Event Detection and Event Element Extraction / 3.3.2：
Design and Organization of Patterns / 3.3.3：
Event Element Standardization / 3.3.4：
Evaluation of Event Relations / 3.3.5：
Experiment / 3.4：
Forecasting Croup Behavior via Probabilistic Plan Inference / 3.5：
Review of Plan-Based Inference / 4.1：
Probabilistic Plan Representation / 4.2：
Probabilistic Reasoning Approach / 4.3：
Notation / 4.3.1：
Computation / 4.3.2：
Case Study in Security Informatics / 4.4：
Construction of Plan Library / 4.4.1：
The Test Set / 4.4.2：
Experimental Results / 4.4.3：
Forecasting Complex Croup Behavior via Multiple Plan Recognition / 4.5：
Multiple Plan Recognition for Behavior Prediction / 5.1：
The MPR Problem Definition / 5.2：
The Proposed MPR Approach / 5.3：
Constructing the Explanation Graph / 5.3.1：
Computing Probability of an Explanation / 5.3.2：
Finding the Best Explanation / 5.3.3：
Algorithm and Complexity Analysis / 5.3.4：
Discussion / 5.3.5：
Experimental Design / 5.4：
Results / 5.4.2：
Social Computing in ISI: A Synthetic View / 5.5：
Social Computing / 6.1：
Theoretical and Infrastructure Underpinnings / 6.1.1：
Major Application Areas / 6.1.2：
A Social Computing-Based ISI Research Framework / 6.2：
Control and Management Through Parallel Execution / 6.2.1：
Main Issues in the ACP-Based ISI Research Framework / 6.3：
Modeling Cyber-Physical Societies / 6.3.1：
Scenario-Based Computational Experiment and Evaluation / 6.3.2：
Interactive Co-Evolution of Artificial and Actual Systems / 6.3.3：
Social Media Information Processing and Standardization / 6.3.4：
ISI Research Platform / 6.3.5：
Summary / 6.4：
Cyber-Enabled Social Movement Organizations / Chapter 7：
Studies on Social Movement Organizations: A Review / 7.1：
A New Research Framework for CeSMOs / 7.2：
CeSMO Research Questions / 7.2.1：
A Social Computing-Based CeSMO Research Framework / 7.2.2：
Case Study: Wenchuan Earthquake / 7.3：
Discussions on CeSMO Research Issues / 7.4：
CeSMO Behavior Modeling / 7.4.1：
CeSMO Network Analysis / 7.4.2：
CeSMO Social and Cultural Information Modeling and Analysis / 7.4.3：
CeSMO Behavior Prediction / 7.4.4：
Cultural Modeling for Behavior Analysis and Prediction / 7.5：
Modeling Cultural Data in Security Informatics / 8.1：
Major Machine Learning Methods / 8.2：
Naive Bayesian (NB) / 8.2.1：
Support Vector Machines (SVMs) / 8.2.2：
Artificial Neural Networks / 8.2.3：
k-Nearest Neighbor (kNN) / 8.2.4：
Decision Trees / 8.2.5：
Random Forest (RF) / 8.2.6：
Associative Classification (AC) / 8.2.7：
Experiment and Analysis / 8.3：
Datasets / 8.3.1：
Evaluation Measures / 8.3.2：
Observations and Analysis / 8.3.3：
Discussions on Cultural Modeling Research Issues / 8.4：
Cultural Datasets Construction / 8.4.1：
Attribute Selection / 8.4.2：
Best Performance of Classifiers / 8.4.3：
Handling the Class Imbalance Problem / 8.4.4：
Model Interpretability / 8.4.5：
Incorporation of Domain Knowledge / 8.4.6：
Cultural and Social Dynamics of Behavioral Patterns / 8.4.7：
Index / 8.5：
Preface
Acknowledgements
Intelligence and Security Informatics: Research Frameworks / Chapter 1：
99.
ＥＢ
Andrea Pascucci, Carlo A. Favero
出版情報:
SpringerLink Books - AutoHoldings , Springer Milan, 2011
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Preface
General notations
Derivatives and arbitrage pricing / 1：
Options / 1.1：
Main purposes / 1.1.1：
Main problems / 1.1.2：
Rules of compounding / 1.1.3：
Arbitrage opportunities and Put-Call parity formula / 1.1.4：
Risk-neutral price and arbitrage pricing / 1.2：
Risk-neutral price / 1.2.1：
Risk-neutral probability / 1.2.2：
Arbitrage price / 1.2.3：
A generalization of the Put-Call parity / 1.2.4：
Incomplete markets / 1.2.5：
Discrete market models / 2：
Discrete markets and arbitrage strategies / 2.1：
Self-financing and predictable strategies / 2.1.1：
Normalized market / 2.1.2：
Arbitrage opportunities and admissible strategies / 2.1.3：
Equivalent martingale measure / 2.1.4：
Change of numeraire / 2.1.5：
European derivatives / 2.2：
Pricing in an arbitrage-free market / 2.2.1：
Completeness / 2.2.2：
Fundamental theorems of asset pricing / 2.2.3：
Markov property / 2.2.4：
Binomial model / 2.3：
Martingale measure and arbitrage price / 2.3.1：
Hedging strategies / 2.3.2：
Binomial algorithm / 2.3.3：
Calibration / 2.3.4：
Binomial model and Black-Scholes formula / 2.3.5：
Black-Scholes differential equation / 2.3.6：
Trinomial model / 2.4：
Pricing and hedging in an incomplete market / 2.4.1：
American derivatives / 2.5：
Optimal exercise strategies / 2.5.1：
Pricing and hedging algorithms / 2.5.3：
Relations with European options / 2.5.4：
Free-boundary problem for American options / 2.5.5：
American and European options in the binomial model / 2.5.6：
Continuous-time stochastic processes / 3：
Stochastic processes and real Brownian motion / 3.1：
Brownian motion and the heat equation / 3.1.1：
Uniqueness / 3.2：
Law of a continuous process / 3.2.1：
Equivalence of processes / 3.2.2：
Modifications and indistinguishable processes / 3.2.3：
Adapted and progressively measurable processes / 3.2.4：
Martingales / 3.3：
Doob's inequality / 3.3.1：
Martingale spaces: M2 and M2 c / 3.3.2：
The usual hypotheses / 3.3.3：
Stopping times and martingales / 3.3.4：
Riemann-Stieltjes integral / 3.4：
Bounded-variation functions / 3.4.1：
Riemann-Stieltjes integral and Itô formula / 3.4.2：
Regularity of the paths of a Brownian motion / 3.4.3：
Brownian integration / 4：
Stochastic integral of deterministic functions / 4.1：
Stochastic integral of simple processes / 4.2：
Integral of L2 -processes / 4.3：
Itô and Riemann-Stieltjes integral / 4.3.1：
Itô integral and stopping times / 4.3.2：
Quadratic variation process / 4.3.3：
Martingales with bounded variation / 4.3.4：
Co-variation process / 4.3.5：
Integral of L2 loc -processes / 4.4：
Local martingales / 4.4.1：
Localization and quadratic variation / 4.4.2：
Itô calculus / 5：
Itô processes / 5.1：
Itô formula for Brownian motion / 5.1.1：
General formulation / 5.1.2：
Martingales+and parabolic equations / 5.1.3：
Geometric Brownian motion / 5.1.4：
Multi-dimensional Itô processes / 5.2：
Multi-dimensional Itô formula / 5.2.1：
Correlated Brownian motion+and martingales / 5.2.2：
Generalized Itô formulas / 5.3：
Itô formula and+weak derivatives / 5.3.1：
Tanaka formula+and local times / 5.3.2：
Tanaka+formula for Itô processes / 5.3.3：
Local+time and Black-Scholes formula / 5.3.4：
Parabolic PDEs with variable coefficients: uniqueness / 6：
Maximum principle and Cauchy-Dirichlet problem / 6.1：
Maximum principle and Cauchy problem / 6.2：
Non-negative solutions of the Cauchy problem / 6.3：
Black-Scholes model / 7：
Self-financing strategies / 7.1：
Markovian strategies and Black-Scholes equation / 7.2：
Pricing / 7.3：
Dividends and time-dependent parameters / 7.3.1：
Admissibility and absence of arbitrage / 7.3.2：
Black-Scholes analysis: heuristic approaches / 7.3.3：
Market price of risk / 7.3.4：
Hedging / 7.4：
The Greeks / 7.4.1：
Robustness of the model / 7.4.2：
Gamma and Vega-hedging / 7.4.3：
Implied volatility / 7.5：
Asian options / 7.6：
Arithmetic average / 7.6.1：
Geometric average / 7.6.2：
Parabolic PDEs with variable coefficients: existence / 8：
Cauchy problem and fundamental solution / 8.1：
Levi's parametrix method / 8.1.1：
Gaussian estimates and adjoint operator / 8.1.2：
Obstacle problem / 8.2：
Strong solutions / 8.2.1：
Penalization method / 8.2.2：
Stochastic differential equations / 9：
Existence / 9.1：
Properties of solutions / 9.1.3：
Weak solutions / 9.2：
Tanaka's example / 9.2.1：
Existence: the martingale problem / 9.2.2：
Maximal estimates / 9.2.3：
Maximal estimates for martingales / 9.3.1：
Maximal estimates for diffusions / 9.3.2：
Feynman-Kac representation formulas / 9.4：
Exit time from a bounded domain / 9.4.1：
Elliptic-parabolic equations and Dirichlet-problem / 9.4.2：
Evolution equations and Cauchy-Dirichlet problem / 9.4.3：
Fundamental solution and transition density / 9.4.4：
Obstacle problem and optimal stopping / 9.4.5：
Linear equations / 9.5：
Kalman condition / 9.5.1：
Kolmogorov equations and Hörmander condition / 9.5.2：
Examples / 9.5.3：
Continuous market models / 10：
Change of measure / 10.1：
Exponential martingales / 10.1.1：
Girsanov's theorem / 10.1.2：
Representation of Brownian martingales / 10.1.3：
Change of drift / 10.1.4：
Arbitrage theory / 10.2：
Change of drift with correlation / 10.2.1：
Martingale measures and market prices of risk / 10.2.2：
Admissible strategies and arbitrage opportunities / 10.2.3：
Arbitrage pricing / 10.2.5：
Complete markets / 10.2.6：
Parity formulas / 10.2.7：
Markovian models: the PDE approach / 10.3：
Martingale models for the short rate / 10.3.1：
Pricing and hedging in a complete model / 10.3.2：
LIBOR market model / 10.4：
Change of numeraire for Itô processes / 10.4.2：
Pricing with stochastic interest rate / 10.4.3：
Diffusion-based volatility models / 10.5：
Local and path-dependent volatility / 10.5.1：
CEV model / 10.5.2：
Stochastic volatility and the SABR model / 10.5.3：
American options / 11：
Pricing and hedging in the Black-Scholes model / 11.1：
American Call and Put options in the Black-Scholes model / 11.2：
Pricing and hedging in a complete market / 11.3：
Numerical methods / 12：
Euler method for ordinary equations / 12.1：
Higher order schemes / 12.1.1：
Euler method for stochastic differential equations / 12.2：
Milstein scheme / 12.2.1：
Finite-difference methods for parabolic equations / 12.3：
Localization / 12.3.1：
θ-schemes for the Cauchy-Dirichlet problem / 12.3.2：
Free-boundary problem / 12.3.3：
Monte Carlo methods / 12.4：
Simulation / 12.4.1：
Computation of the Greeks / 12.4.2：
Error analysis / 12.4.3：
Introduction to Lévy processes / 13：
Beyond Brownian motion / 13.1：
Poisson process / 13.2：
Lévy processes / 13.3：
Infinite divisibility and characteristic function / 13.3.1：
Jump measures of compound Poisson processes / 13.3.2：
Lévy-Itô decomposition / 13.3.3：
Lévy-Khintchine representation / 13.3.4：
Cumulants and Lévy martingales / 13.3.5：
Examples of Lévy processes / 13.4：
Jump-diffusion processes / 13.4.1：
Stable processes / 13.4.2：
Tempered stable processes / 13.4.3：
Subordination / 13.4.4：
Hyperbolic processes / 13.4.5：
Option pricing under exponential Lévy processes / 13.5：
Martingale modeling in Lévy markets / 13.5.1：
Incompleteness and choice of an EMM / 13.5.2：
Esscher transform / 13.5.3：
Exotic option pricing / 13.5.4：
Beyond Lévy processes / 13.5.5：
Stochastic calculus for jump processes / 14：
Stochastic integrals / 14.1：
Predictable processes / 14.1.1：
Semimartingales / 14.1.2：
Integrals with respect to jump measures / 14.1.3：
Lévy-type stochastic integrals / 14.1.4：
Stochastic differentials / 14.2：
Itô formula for discontinuous functions / 14.2.1：
Quadratic variation / 14.2.2：
Itô formula for semimartingales / 14.2.3：
Itô formula for Lévy processes / 14.2.4：
SDEs with jumps and Itô formula / 14.2.5：
PIDEs and Feynman-Kac representation / 14.2.6：
Linear SDEs with jumps / 14.2.7：
Lévy models with stochastic volatility / 14.3：
Lévy-driven models and pricing PIDEs / 14.3.1：
Bates model / 14.3.2：
Barndorff-Nielsen and Shephard model / 14.3.3：
Fourier methods / 15：
Characteristic functions and branch cut / 15.1：
Integral pricing formulas / 15.2：
Damping method / 15.2.1：
Pricing formulas / 15.2.2：
Implementation / 15.2.3：
Choice of the damping parameter / 15.2.4：
Fourier-cosine series expansions / 15.3：
Elements of Malliavin calculus / 15.3.1：
Stochastic derivative / 16.1：
Chain rule / 16.1.1：
Duality / 16.2：
Clark-Ocone formula / 16.2.1：
Integration by parts and computation of the Greeks / 16.2.2：
Appendix: a primer in probability and parabolic PDEs / 16.2.3：
Probability spaces / A.1：
Dynkin's theorems / A.1.1：
Distributions / A.1.2：
Random variables / A.1.3：
Integration / A.1.4：
Mean and variance / A.1.5：
σ-algebras and information / A.1.6：
Independence / A.1.7：
Product measure and joint distribution / A.1.8：
Markov inequality / A.1.9：
Fourier transform / A.2：
Parabolic equations with constant coefficients / A.3：
A special case / A.3.1：
General case / A.3.2：
Locally integrable initial datum / A.3.3：
Non-homogeneous Cauchy problem / A.3.4：
Adjoint operator / A.3.5：
Characteristic function and normal distribution / A.4：
Multi-normal distribution / A.4.1：
Conditional expectation / A.5：
Radon-Nikodym theorem / A.5.1：
Conditional expectation and discrete random variables / A.5.2：
Properties of the conditional expectation / A.5.4：
Conditional expectation in L2 / A.5.5：
Stochastic processes in discrete time / A.5.6：
Doob's decomposition / A.6.1：
Stopping times / A.6.2：
Doob's maximal inequality / A.6.3：
Convergence of random variables / A.7：
Characteristic function and convergence of variables / A.7.1：
Uniform integrability / A.7.2：
Topologies and σ-algebras / A.8：
Generalized derivatives / A.9：
Weak derivatives in R / A.9.1：
Sobolev spaces and embedding theorems / A.9.2：
Mollifiers / A.9.3：
Separation of convex sets / A.10：
References
Index
Preface
General notations
Derivatives and arbitrage pricing / 1：
100.
ＥＢ
Danny Weyns
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2010
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Introduction / 1：
Software Architecture and Middleware / 1.1：
Software Architecture / 1.1.1：
Middleware / 1.1.2：
Agent-Oriented Methodologies / 1.2：
Case Study / 1.3：
Overview of the Book / 1.4：
Overview of Architecture-Based Design of Multi-Agent Systems / 2：
General Overview of the Approach / 2.1：
Architectural Design in the Development Life Cycle / 2.1.1：
Steps of Architecture-Based Design of Multi-Agent Systems / 2.1.2：
Functional and Quality Attribute Requirements / 2.2：
Architectural Design / 2.3：
Architectural Patterns / 2.3.1：
ADD Process / 2.3.2：
Middleware Support for Multi-Agent Systems / 2.4：
Documenting Software Architecture / 2.5：
Architectural Views / 2.5.1：
Architectural Description Languages / 2.5.2：
Evaluating Software Architecture / 2.6：
From Software Architecture to Downstream Design and Implementation / 2.7：
Summary / 2.8：
Capturing Expertise in Multi-Agent System Engineering with Architectural Patterns / 3：
Situated Multi-Agent Systems / 3.1：
Single-Agent Systems / 3.1.1：
Multi-Agent Systems / 3.1.2：
Target Domain of the Pattern Language for Situated Multi-Agent Systems / 3.2：
Overview of the Pattern Language / 3.3：
Pattern Template / 3.4：
Virtual Environment / 3.5：
Primary Presentation / 3.5.1：
Architectural Elements / 3.5.2：
Interface Descriptions / 3.5.3：
Design Rationale / 3.5.4：
Situated Agent / 3.6：
Selective Perception / 3.6.1：
Roles and Situated Commitments / 3.7.1：
Free-Flow Trees Extended with Roles and Situated Commitments / 3.8.1：
Protocol-Based Communication / 3.9：
Architectural Design of Multi-Agent Systems / 3.9.1：
Designing and Documenting Multi-Agent System Architectures / 4.1：
Designing and Documenting Architecture in the Development Life Cycle / 4.1.1：
Inputs and Outputs of ADD / 4.1.2：
Overview of the ADD Activities / 4.1.3：
The Domain of Automated Transportation Systems / 4.2：
Business Case / 4.2.2：
System Requirements / 4.2.3：
General Overview of the Design / 4.3：
Challenges at the Outset / 4.3.1：
The System and Its Environment / 4.3.2：
Design Process / 4.3.3：
High-Level Design / 4.3.4：
Architecture Documentation / 4.4：
Introduction to the Architecture Documentation / 4.4.1：
Deployment View / 4.4.2：
Module Uses View / 4.4.3：
Collaborating Components View / 4.4.4：
Middleware for Distributed Multi-Agent Systems / 4.5：
Middleware Support for Distributed, Decentralized Coordination / 5.1：
Middleware in Distributed Software Systems / 5.1.1：
Middleware in Multi-Agent Systems / 5.1.2：
Scope of the Middleware and Requirements / 5.2：
Objectplaces / 5.2.2：
Views / 5.2.3：
Coordination Roles / 5.2.4：
Middleware Architecture / 5.3：
High-Level Module Decomposition / 5.3.1：
Group Formation / 5.3.2：
View Management / 5.3.3：
Role Activation / 5.3.4：
Collision Avoidance in the AGV Transportation System / 5.4：
Collision Avoidance / 5.4.1：
Collision Avoidance Protocol / 5.4.2：
Software Architecture: Communicating Processes for Collision Avoidance / 5.4.3：
Task Assignment / 5.5：
Schedule-Based Task Assignment / 6.1：
FiTA: Field-Based Task Assignment / 6.2：
Coordination Fields / 6.2.1：
Adaptive Task Assignment / 6.2.2：
Dealing With Local Minima / 6.2.3：
DynCNET Protocol / 6.3：
Monitoring the Area of Interest / 6.3.1：
Convergence / 6.3.3：
Synchronization Issues / 6.3.4：
Evaluation / 6.4：
Test Setting / 6.4.1：
Test Results / 6.4.2：
Tradeoff Analysis / 6.4.3：
Evaluation of Multi-Agent System Architectures / 6.5：
Evaluating Multi-Agent System Architectures with ATAM / 7.1：
Architecture Evaluation in the Development Life Cycle / 7.1.1：
Objectives of a Multi-Agent System Architecture Evaluation / 7.1.2：
Overview of the ATAM Activities / 7.1.3：
AGV Transportation System for a Tea Processing Warehouse / 7.2：
Evaluation Process / 7.2.2：
Quality Attribute Workshop / 7.2.3：
Analysis of Architectural Approaches / 7.2.4：
Reflection on ATAM for Evaluating a Multi-Agent System Architecture / 7.3：
ATAM Follow-Up and Demonstrator / 7.4：
Related Approaches / 7.5：
Architectural Approaches and Multi-Agent Systems / 8.1：
Architectural Styles / 8.1.1：
Reference Models and Architectures for Multi-Agent Systems / 8.1.2：
Middleware for Mobile Systems / 8.2：
Work Related to Views / 8.2.1：
Work Related to Coordination Roles / 8.2.2：
Scheduling and Routing of AGV Transportation Systems / 8.3：
AI and Robotics Approaches / 8.3.1：
Multi-Agent System Approaches / 8.3.2：
Conclusions / 9：
Reflection on Architecture-Based Design of Multi-Agent Systems / 9.1：
It Works! / 9.1.1：
Reflection on the Project with Egemin / 9.1.2：
Lessons Learned and Challenges / 9.2：
Dealing with Quality Attributes / 9.2.1：
Designing a Multi-Agent System Architecture / 9.2.2：
Integrating a Multi-Agent System with Its Software Environment / 9.2.3：
Impact of Adopting a Multi-Agent System / 9.2.4：
?-ADL Specification of the Architectural Patterns / A：
Language Constructs / A.1：
Virtual Environment Pattern / A.2：
Situated Agent Pattern / A.3：
Synchronization in the DynCNET Protocol / B：
Synchronization of Abort and Bound Messages / B.1：
Synchronization of Scope Dynamics / B.2：
Overview / C：
Invariant / C.2：
Maintaining the Invariant / C.3：
Glossary
References
Index
Introduction / 1：
Software Architecture and Middleware / 1.1：
Software Architecture / 1.1.1：
ＥＢ
