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1.

図書

図書
edited with translation and explanatory notes by S.D. Joshi and J.A.F. Roodbergen
出版情報: Poona : University of Poona, 1973  xxiv, 52, 269 p. ; 25 cm
シリーズ名: Publications of the Centre of Advanced Study in Sanskrit ; class C ; no. 7
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2.

図書

図書
Thomas Barkowsky
出版情報: Berlin ; Tokyo : Springer, c2002  x, 174 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2541 . Lecture notes in artificial intelligence
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Introduction / 1:
Mental Processing of Geographic Knowledge / 1.1:
Cognitive Maps / 1.1.1:
Mental Construction of Spatial Knowledge: An Example / 1.1.2:
Theses and Assumptions / 1.2:
Knowledge Construction and Human Memory / 1.2.1:
Characteristics of Geographic Knowledge / 1.2.2:
Spatial Knowledge Organization in Long-Term Memory / 1.2.3:
Visual Mental Images and Diagrammatic Reasoning / 1.2.4:
Research Questions and Goals / 1.3:
Research Questions / 1.3.1:
Goals / 1.3.2:
Approach: Experimental Computational Modeling / 1.4:
Computational Cognition / 1.4.1:
Building Computational Models / 1.4.2:
Modeling as Experimental Approach / 1.4.3:
Organization of this Thesis / 1.5:
State of the Art / 2:
Spatial Knowledge Conceptions: Cognitive Maps and Other Metaphors / 2.1:
Rubber Sheet Maps, Cognitive Atlases, Collages, and Geographic Information Systems / 2.1.1:
Spatial Mental Models / 2.1.3:
Other Conceptions / 2.1.4:
Human Memory / 2.2:
Working Memory / 2.2.1:
Long-Term Memory / 2.2.2:
Interacting Memory Systems in Mental Imagery / 2.2.3:
Mental Imagery / 2.3:
The Imagery Debate / 2.3.1:
Psychological and Neuroscientific Foundations / 2.3.2:
The Kosslyn Models / 2.3.3:
The 1980 Model / 2.3.3.1:
The 1994 Model / 2.3.3.2:
Spatial Reasoning / 2.4:
Topology / 2.4.1:
Orientation / 2.4.2:
Distance / 2.4.3:
Shape / 2.4.4:
Computational Geometry / 2.4.5:
Diagrammatic Reasoning / 2.5:
Propositional vs. Analogical Knowledge Representation / 2.5.1:
Types of Diagrammatic Reasoning Systems / 2.5.2:
Examples for Diagrammatic Reasoning Architectures / 2.5.3:
DEPIC-2D / 2.5.3.1:
WHISPER / 2.5.3.2:
Computational Imagery / 2.5.3.3:
Summary / 2.6:
MIRAGE - Developing the Model / 3:
Characteristics of the Model / 3.1:
Evaluating the Working Memory Representation / 3.1.1:
MIRAGE - Outline of the Model / 3.2:
Types of Entities and Spatial Relations in MIRAGE / 3.3:
Entities / 3.3.1:
Relations / 3.3.2:
Subsystems, Structures, and Processes / 3.4:
Long-Term Memory Activation / 3.4.1:
Spatial Knowledge Fragments / 3.4.1.1:
The Hierarchical Long-Term Memory Representation / 3.4.1.2:
The Access Process / 3.4.1.3:
The Activated Long-Term Memory Representation / 3.4.1.4:
The Construction Process / 3.4.1.5:
Visual Mental Image Construction / 3.4.2:
The Enriched Representation / 3.4.2.1:
The Conversion Process / 3.4.2.2:
The Visual Buffer / 3.4.2.3:
The Visualization Process / 3.4.2.4:
Image Inspection / 3.4.3:
The Inspection Result / 3.4.3.1:
The Inspection Process / 3.4.3.2:
Visual Mental Image Construction in Detail / 4:
A More Demanding Scenario / 4.1:
Diagrammatic Representations of Lean Knowledge / 4.2:
Consequences for Image Construction / 4.3:
Relaxation of Spatial Constraints / 4.3.1:
Completion of Qualitative Spatial Relations / 4.3.2:
Interpretation of Qualitative Spatial Relations / 4.3.3:
Image Revision Strategies in MIRAGE / 4.4:
Unstable Images / 4.4.1:
Omission of Facts / 4.4.2:
Revision of Relational Completion / 4.4.3:
Variation of Relational Completion / 4.4.3.1:
Relaxation of Relational Completion / 4.4.3.2:
Revision of Image Specification / 4.4.4:
Depicting Qualitative Spatial Relations / 4.4.4.1:
Depicting Unspecified Spatial Relations / 4.4.4.2:
MIRAGE Implementation / 4.5:
Computational Tools for Modeling: SIMSIS / 5.1:
The Idea of SIMSIS / 5.1.1:
The Aspect Map Model / 5.1.1.1:
Modeling Aspect Maps in SIMSIS / 5.1.1.2:
Depictions, Scenarios, and Interpretations / 5.1.2:
SIMSIS Pictures / 5.1.2.1:
SIMSIS Facts and Scenarios / 5.1.2.2:
SIMSIS Interpretations and Meaning Systems / 5.1.2.3:
Realization of the Model / 5.2:
MIRAGE Structures / 5.2.1:
Entities, Relations, and Spatial Knowledge Fragments / 5.2.1.1:
The Long-Term Memory Representations / 5.2.1.2:
MIRAGE Processes / 5.2.1.3:
The Long-Term Memory Activation Processes / 5.2.2.1:
The Image Construction Processes / 5.2.2.2:
Operation and Behavior of MIRAGE / 5.2.2.3:
Conclusion and Outlook / 6:
Results and Discussion / 6.1:
Reflecting the Theses / 6.2.1:
Spatial Knowledge Construction / 6.2.1.1:
Underdeterminacy in Long-Term Memory / 6.2.1.2:
Fragmentation and Hierarchical Organization / 6.2.1.3:
Visual Mental Imagery / 6.2.1.4:
The Parameters of the Model / 6.2.2:
Explicit Parameters / 6.2.2.1:
Implicit Parameters / 6.2.2.2:
Conclusions / 6.2.3:
Future Work / 6.3:
Extending MIRAGE / 6.3.1:
Geographic Entities and Spatial Relations / 6.3.1.1:
Partially Aggregated Knowledge Structures / 6.3.1.2:
Mental Imagery Functionality / 6.3.1.3:
Parameters of MIRAGE / 6.3.1.4:
Empirical Investigations / 6.3.2:
Use of Default Knowledge / 6.3.2.1:
Control of Image Construction / 6.3.2.2:
Processing Capacity for Mental Images / 6.3.2.3:
Use of Chunking Facilities / 6.3.2.4:
Combination of Propositional and Image-Based Reasoning / 6.3.2.5:
Application Perspectives / 6.3.3:
Adequate Presentation of Visual Information / 6.3.3.1:
External Support of Reasoning in Mental Images / 6.3.3.2:
Bibliography
Index
Introduction / 1:
Mental Processing of Geographic Knowledge / 1.1:
Cognitive Maps / 1.1.1:
3.

図書

図書
[редакция ... В.Г. Озерова ... и др.]
出版情報: Москва : "Книга", 1927-  v. ; 27 cm
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4.

図書

図書
Joseph Wang
出版情報: New York, N.Y. : VCH, c1994  xi, 198 p. ; 25 cm
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Preface
Abbreviations and Symbols
Fundamental Concepts / 1:
Why Electroanalysis? / 1.1:
Faradaic Processes / 1.2:
Mass-Transport-Controlled Reactions / 1.2.1:
Potential-Step Experiment / 1.2.1.1:
Potential-Sweep Experiments / 1.2.1.2:
Reactions Controlled by the Rate of Electron Transfer / 1.2.2:
Activated Complex Theory / 1.2.2.1:
Electrical Double Layer / 1.3:
Electrocapillary Effect / 1.4:
Supplementary Reading / 1.5:
Problems
References
Study of Electrode Reactions and Interfacial Properties / 2:
Cyclic Voltammetry / 2.1:
Data Interpretation / 2.1.1:
Reversible Systems / 2.1.1.1:
Irreversible and Quasi-reversible Systems / 2.1.1.2:
Study of Reaction Mechanisms / 2.1.2:
Study of Adsorption Processes / 2.1.3:
Quantitative Applications / 2.1.4:
Spectroelectrochemistry / 2.2:
Experimental Arrangement / 2.2.1:
Principles and Applications / 2.2.2:
Electrochemiluminescence / 2.2.3:
Optical Probing of Electrode-Solution Interfaces / 2.2.4:
Scanning Probe Microscopy / 2.3:
Scanning Tunneling Microscopy / 2.3.1:
Atomic Force Microscopy / 2.3.2:
Scanning Electrochemical Microscopy / 2.3.3:
Electrochemical Quartz Crystal Microbalance / 2.4:
Impedance Spectroscopy / 2.5:
Examples
Controlled-Potential Techniques / 3:
Chronoamperometry / 3.1:
Polarography / 3.2:
Pulse Voltammetry / 3.3:
Normal-Pulse Voltammetry / 3.3.1:
Differential-Pulse Voltammetry / 3.3.2:
Square-Wave Voltammetry / 3.3.3:
Staircase Voltammetry / 3.3.4:
AC Voltammetry / 3.4:
Stripping Analysis / 3.5:
Anodic Stripping Voltammetry / 3.5.1:
Potentiometric Stripping Analysis / 3.5.2:
Adsorptive Stripping Voltammetry and Potentiometry / 3.5.3:
Cathodic Stripping Voltammetry / 3.5.4:
Abrasive Stripping Voltammetry / 3.5.5:
Applications / 3.5.6:
Flow Analysis / 3.6:
Principles / 3.6.1:
Cell Design / 3.6.2:
Mass Transport and Current Response / 3.6.3:
Detection Modes / 3.6.4:
Practical Considerations / 4:
Electrochemical Cells / 4.1:
Solvents and Supporting Electrolytes / 4.2:
Oxygen Removal / 4.3:
Instrumentation / 4.4:
Working Electrodes / 4.5:
Mercury Electrodes / 4.5.1:
Solid Electrodes / 4.5.2:
Rotating Disk and Rotating Ring Disk Electrodes / 4.5.2.1:
Carbon Electrodes / 4.5.2.2:
Glassy Carbon Electrodes / 4.5.2.2.1:
Carbon Paste Electrodes / 4.5.2.2.2:
Carbon Fiber Electrodes / 4.5.2.2.3:
Diamond Electrodes / 4.5.2.2.4:
Metal Electrodes / 4.5.2.3:
Chemically Modified Electrodes / 4.5.3:
Self-Assembled Monolayers / 4.5.3.1:
Carbon-Nanotube-Modified Electrodes / 4.5.3.2:
Sol-gel Encapsulation of Reactive Species / 4.5.3.3:
Electrocatalytically Modified Electrodes / 4.5.3.4:
Preconcentrating Electrodes / 4.5.3.5:
Permselective Coatings / 4.5.3.6:
Conducting Polymers / 4.5.3.7:
Microelectrodes / 4.5.4:
Diffusion at Microelectrodes / 4.5.4.1:
Microelectrode Configurations / 4.5.4.2:
Composite Electrodes / 4.5.4.3:
Potentiometry / 5:
Principles of Potentiometric Measurements / 5.1:
Ion-Selective Electrodes / 5.2:
Glass Electrodes / 5.2.1:
pH Electrodes / 5.2.1.1:
Glass Electrodes for Other Cations / 5.2.1.2:
Liquid Membrane Electrodes / 5.2.2:
Ion Exchanger Electrodes / 5.2.2.1:
Neutral Carrier Electrodes / 5.2.2.2:
Solid-State Electrodes / 5.2.3:
Coated-Wire Electrodes and Solid-State Electrodes Without an Internal Filling Solution / 5.2.4:
On-line, On-site, and In Vivo Potentiometric Measurements / 5.3:
Electrochemical Sensors / 6:
Electrochemical Biosensors / 6.1:
Enzyme-Based Electrodes / 6.1.1:
Practical and Theoretical Considerations / 6.1.1.1:
Enzyme Electrodes of Analytical Significance / 6.1.1.2:
Glucose Sensors / 6.1.1.2.1:
Preface
Abbreviations and Symbols
Fundamental Concepts / 1:
5.

図書

図書
text, translation and notes by J.A.F. Roodbergen ; edited by S.D. Joshi
出版情報: Poona : University of Poona, 1974  lxix, 72, 252 p. ; 25 cm
シリーズ名: Publications of the Centre of Advanced Study in Sanskrit ; class C ; no. 9
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6.

図書

図書
Michael Beetz
出版情報: Berlin : Springer, 2000  xvi, 213 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1772 . Lecture notes in artificial intelligence
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Abstract
Acknowledgements
List of Figures
Introduction / 1:
The Approach / 1.1:
Technical Challenges / 1.2:
Introductory Example / 1.3:
Motivation / 1.4:
Relevance for Autonomous Robot Control / 1.4.1:
Relevance for AI Planning / 1.4.2:
The Computational Problem and Its Solution / 1.5:
The Computational Problem / 1.5.1:
The Computational Model / 1.5.2:
Contributions / 1.6:
Outline of the Book / 1.7:
Reactivity / 2:
The DeliveryWorld / 2.1:
The World / 2.1.1:
Commands and Jobs / 2.1.2:
The Robot / 2.1.3:
Justification of the DeliveryWorld / 2.1.4:
The Implementation of Routine Activities / 2.2:
Plan Steps vs. Concurrent Control Processes / 2.2.1:
Interfacing Continuous Control Processes / 2.2.2:
Coordinating Control Processes / 2.2.3:
Synchronization of Concurrent Control Threads / 2.2.4:
Failure Recovery / 2.2.5:
Perception / 2.2.6:
State, Memory, and World Models / 2.2.7:
The Structure of Routine Activities / 2.2.8:
The Structured Reactive Controller / 2.3:
Behavior and Planning Modules / 2.3.1:
The Body of the Structured Reactive Controller / 2.3.2:
Global Fluents, Variables, and the Plan Library / 2.3.3:
The RPL Runtime System / 2.3.4:
Summary and Discussion / 2.4:
Planning / 3:
The Structured Reactive Plan / 3.1:
Plans as Syntactic Objects / 3.1.1:
RPL as a Plan Language / 3.1.2:
The Computational Structure / 3.2:
The "Criticize-Revise" Cycle / 3.2.1:
The "Criticize" Step / 3.2.2:
The "Revise" Step / 3.2.3:
The XFRM Planning Framework / 3.3:
Anticipation and Forestalling of Behavior Flaws / 3.4:
The Detection of Behavior Flaws / 3.4.1:
Behavior Flaws and Plan Revisions / 3.4.2:
The Diagnosis of Behavior Flaws / 3.4.3:
Transparent Reactive Plans / 3.5:
Declarative Statements / 4.1:
RPL Construct Descriptions / 4.1.1:
Achievement Goals / 4.1.2:
Perceptions / 4.1.3:
Beliefs / 4.1.4:
Other Declarative Statements / 4.1.5:
Using Declarative Statements / 4.1.6:
Routine Plans / 4.2:
The Plan Library / 4.3:
Behavior Modules / 4.3.1:
Low-level Plans / 4.3.2:
High-level Plans / 4.3.3:
Discussion / 4.4:
Representing Plan Revisions / 5:
Conceptualization / 5.1:
Making Inferences / 5.2:
Some Examples / 5.2.1:
Accessing Code Trees / 5.2.2:
Predicates on Plan Interpretations / 5.2.3:
Predicates on Timelines / 5.2.4:
Timelines and Plan Interpretation / 5.2.5:
Expressing Plan Revisions / 5.3:
XFRML - The Implementation / 5.4:
Forestalling Behavior Flaws / 5.5:
FAUST / 6.1:
The Behavior Critic / 6.1.1:
Detecting Behavior Flaws: Implementation / 6.1.2:
Diagnosing the Causes of Behavior Flaws: Implementation / 6.1.3:
The Bug Class "Behavior-Specification Violation" / 6.1.4:
The Elimination of Behavior Flaws / 6.1.5:
The Plan Revisions for the Example / 6.2:
Some Behavior Flaws and Their Revisions / 6.3:
Perceptual Confusion / 6.3.1:
Missed Deadlines / 6.3.2:
Planning Ongoing Activities / 6.4:
Extending RPL / 7.1:
The RUNTIME-PLAN Statement / 7.1.1:
Plan Swapping / 7.1.2:
Making Planning Assumptions / 7.1.3:
Deliberative Controllers / 7.2:
Improving Iterative Plans by Local Planning / 7.2.1:
Plan Execution a la Shakey / 7.2.2:
Execution Monitoring and Replanning / 7.2.3:
Recovering from Execution Failures / 7.2.4:
Some Robot Control Architectures / 7.2.5:
The Controller in the Experiment / 7.3:
Evaluation / 7.4:
Analysis of the Problem / 8.1:
Assessment of the Method / 8.2:
Description of the Method / 8.2.1:
Evaluation of the Method / 8.2.2:
Demonstration / 8.3:
Evaluating SRCs in Standard Situations / 8.3.1:
Comparing SRCs with the Appropriate Fixed Controller179 / 8.3.2:
Problems that Require SRCs / 8.3.3:
Related Work / 8.4:
Control Architectures for Competent Physical Agents / 8.4.1:
Control Languages for Reactive Control / 8.4.2:
Robot Planning / 8.4.3:
Conclusion / 9:
What Do Structured Reactive Controllers Do? / 9.1:
Why Do Structured Reactive Controllers Work? / 9.2:
Do Structured Reactive Controllers Work for Real Robots? / 9.3:
References
Abstract
Acknowledgements
List of Figures
7.

図書

図書
Bernhard Westfechtel
出版情報: Berlin ; Tokyo : Springer, c1999  xiv, 418 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1646
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Introduction / Part I:
Development Processes / 1:
Management / 1.2:
Definition / 1.2.1:
Managerial and Technical Level / 1.2.2:
Products, Activities, and Resources / 1.2.3:
Tools for Managing Development Processes / 1.3:
Management, System: Structure and Functionality / 1.3.1:
Scope of the Management System / 1.3.2:
Models for Managing Development Processes / 1.4:
Process Models / 1.4.1:
Models as Tool Specifications / 1.4.2:
Dynamics of Development Processes / 1.5:
Comparison to Other Business Domains / 1.5.1:
Dynamics at the Instance Level / 1.5.2:
Dynamics at the Definition Level / 1.5.3:
Approach and Contributions / 1.6:
Overall Approach / 1.6.1:
Context of Research / 1.6.2:
Models / 1.6.3:
Formal Specification / 1.6.4:
Tools / 1.6.5:
Related Work / 1.7:
Overview / 1.7.1:
Management of Development Processes: State of the Art / Part II:
Process Management / 2:
Product Management / 2.1:
Documents and Configurations / 2.1.1:
Version Control / 2.1.2:
Workspace Management / 2.1.3:
Activity Management / 2.2:
Modeling of Activities / 2.2.1:
Functions of Activity Management / 2.2.3:
Tools for Activity Management / 2.2.4:
Resource Management / 2.3:
Human Resources / 2.3.1:
Computer Resources / 2.3.2:
Conclusion / 2.4:
Functions of Product Management / 3:
Models for Product Management / 3.2:
Product Space / 3.2.1:
Version Space / 3.2.2:
Interplay of Product Space and Version Space / 3.2.3:
Construction of Versions / 3.2.4:
Workspaces / 3.2.5:
Tools for Product Management / 3.3:
System Descriptions / 3.3.1:
Universe of Discourse / 3.4:
Functions and Objectives of Process Management. / 4.1.1:
Characterization of Development Processes / 4.1.2:
Models for Activity Management / 4.2:
Conceptual Framework / 4.2.1:
Process Meta Models / 4.2.2:
Product Development / 4.2.3:
Management of Human Resources / 4.3:
Models for Human Resource Management / 5.1.1:
Tools for Human Resource Management / 5.1.2:
Management of Computer Resources / 5.2:
Tool Integration / 5.3:
Tool Integration: Classification and Overview / 6.1:
Tool Integration Technologies / 6.2:
A Management System for Mechanical Engineering / 6.3:
The SUKITS Project / 7:
Overview of the SUKITS Project / 7.1:
Motivation / 7.1.1:
Goals / 7.1.2:
Application Domain / 7.1.3:
Project Structure and Results / 7.1.4:
The SUKITS Approach to Process Management / 7.2:
Contributions / 7.2.1:
Management Models / 7.2.2:
Management Tools / 7.2.3:
Management Model: Informal Description / 7.3:
Product Management Model / 8.1:
Documents, Dependencies, and Configurations / 8.1.1:
Versions and Versioned Objects / 8.1.2:
Version and Configuration Graphs / 8.1.3:
Consistency Control and Data Integration / 8.1.4:
Activity Management Model / 8.2:
Product-Centered Activity Management / 8.2.1:
Process Dynamics / 8.2.2:
Resource Management Model / 8.3:
Integration of Formal and Informal Cooperation / 8.4:
Management Model: Formal Specification / 8.5:
PROGRES at a First Glance / 9.1:
Graph Schema / 9.2:
Graph Transformations / 9.2.2:
Model Adaptation / 9.3:
Adaptation in SUKITS / 9.5.1:
PROGRES Specification of Model Adaptation / 9.5.2:
Discussion / 9.6:
Specification-in-the-Small / 9.6.1:
Specification-in-the-Large / 9.6.2:
Management System / 9.7:
Tools: Functionality and User Interface / 10.1:
Management Environment / 10.1.1:
Modeling Environment / 10.1.2:
Work Environment / 10.1.3:
Realization / 10.2:
Communication and Distribution / 10.2.1:
Applications, Experiences, and Evaluation / 10.3:
SUKITS Prototypes / 11.1:
Demonstration: Development of a Drill / 11.2:
Demo Steps / 11.2.1:
Evaluation / 11.3:
ManagementModel / 11.3.1:
Applications / 11.3.2:
Toward an Adaptable Environment for Modeling and Managing Development Processes / 11.4:
Dimensions of Management / 12:
Model Architecture / 12.1.2:
Limitations of the SUKITS Approach / 12.1.3:
Modeling of Management Configurations / 12.2:
Architectural Issues / 12.2.1:
Models for Managing Products, Activities, and Resources / 12.2.2:
PROGRES Environment / 12.3:
Process Support Environment / 12.3.4:
Dynamic Task Nets / 12.4:
Informal Description / 13.1:
Structure of Task Nets / 13.1.1:
Levels of Modeling / 13.1.2:
Behavior of Task Nets / 13.1.3:
Examples / 13.1.4:
Base Model / 13.2:
Standard Behavior / 13.2.2:
Structural Adaptation / 13.2.3:
Behavioral Adaptation / 13.2.4:
Net-based approaches / 13.2.5:
Rule-based approaches / 13.3.2:
State-based approaches / 13.3.3:
Procedural approaches / 13.3.4:
Unified Multi-Project Resource Management / 13.4:
Features of RESMOD / 14.1:
Resources / 14.1.2:
Resource Configurations / 14.1.3:
Plan and Actual Resources / 14.1.4:
Base and Project Resources / 14.1.5:
Task Assignments / 14.1.6:
Layer 1: Resource Hierarchies / 14.2:
Layer 2: Actual and Required Resources / 14.2.2:
Layer 3: Base and Project Resources / 14.2.3:
Object-Oriented Process Modeling / 14.2.4:
Meta Process / 15.1:
Process Analysis / 15.3:
Process Specification / 15.4:
Structural Modeling / 15.4.1:
Model Structuring / 15.4.2:
Behavioral Modeling / 15.4.3:
Environment Generation / 15.5:
Lessons Learned / 15.6:
Current Status and Future Work / 15.7:
Management Model / 16.1:
Modeling Languages / 16.2:
Glossary / 16.3:
References
Index
Introduction / Part I:
Development Processes / 1:
Management / 1.2:
8.

図書

図書
Sung Joon Ahn
出版情報: Berlin : Springer, c2004  xx, 125 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 3151
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Introduction / 1:
Curves and Surfaces in Space / 1.1:
Mathematical Description / 1.1.1:
Rigid Body Motion of Model Features in Space / 1.1.2:
Model Hierarchy / 1.1.3:
Curve and Surface Fitting / 1.2:
Applications of Curve and Surface Fitting / 1.2.1:
Algebraic Fitting Vs. Geometric Fitting / 1.2.2:
State-of-the-Art Orthogonal Distance Fitting / 1.2.3:
ISO 10360-6 and Requirements of CMM Software Tools / 1.2.4:
Least-Squares Orthogonal Distance Fitting / 2:
Moment Method for Line and Plane Fitting / 2.1:
Line Fitting / 2.1.1:
Plane Fitting / 2.1.2:
Relationship Between Line and Plane Fitting / 2.1.3:
Generalized Orthogonal Distance Fitting / 2.2:
Problem Definition / 2.2.1:
Point-to-Point Matching / 2.2.2:
Template Matching / 2.2.3:
Orthogonal Distance Fitting Algorithms / 2.3:
Distance-Based Algorithm / 2.3.1:
Coordinate-Based Algorithm / 2.3.2:
Model Fitting with Parameter Constraints / 2.3.3:
Parameter Test / 2.3.4:
Application to Circle and Sphere Fitting / 2.3.5:
Orthogonal Distance Fitting of Implicit Curves and Surfaces / 3:
Minimum Distance Point / 3.1:
Generalized Newton Method / 3.1.1:
Method of Lagrangian Multipliers / 3.1.2:
Verification of the Minimum Distance Point / 3.1.3:
Acceleration of Finding the Minimum Distance Point / 3.1.4:
Orthogonal Distance Fitting / 3.2:
Comparison of the Two Algorithms / 3.2.1:
Fitting Examples / 3.3:
Superellipse Fitting / 3.3.1:
Cone Fitting / 3.3.2:
Torus Fitting / 3.3.3:
Superellipsoid Fitting / 3.3.4:
Orthogonal Distance Fitting of Parametric Curves and Surfaces / 4:
Newton Method / 4.1:
Levenberg-MarquardtAlgorithm / 4.1.2:
Initial Values / 4.1.3:
Algorithm I (ETH) / 4.1.4:
Algorithm II (NPL, FhG) / 4.2.2:
Algorithm III (FhG) / 4.2.3:
Comparison of the Three Algorithms / 4.2.4:
Helix Fitting / 4.3:
Ellipsoid Fitting / 4.3.2:
Object Reconstruction from Unordered Point Cloud / 5:
Applications of Object Reconstruction / 5.1:
Semi-automatic Object Recognition / 5.2:
Segmentation, Outlier Elimination, and Model Fitting / 5.2.1:
Domain Volume for Measurement Points / 5.2.2:
Experimental Results with Real 3-D Measurement Points / 5.3:
3-D Point Cloud from Stripe Projection Method / 5.3.1:
3-D Point Cloud from Laser Radar / 5.3.2:
Conclusions / 6:
Summary / 6.1:
Future Work / 6.2:
References
Index
Implementation Examples / A:
Implicit 2-D Ellipse (Chap.3) / A.1:
Parametric 3-D Ellipse (Chap.4) / A.2:
CMM Software Tools Fulfilling ISO 10360-6 / B:
Curves and Surfaces Defined in ISO 10360-6 / B.1:
Competent Parameterization / B.1.1:
Role of the Mass Center / B.1.2:
Rotation Matrix / B.1.3:
Parameter Range / B.1.4:
Minimum Distance Point and FHG/XHG Matrix / B.2:
2-D Line / B.2.1:
3-D Line / B.2.2:
Plane / B.2.3:
2-D Circle / B.2.4:
3-D Circle / B.2.5:
Sphere / B.2.6:
Cylinder / B.2.7:
Cone / B.2.8:
Torus / B.2.9:
FHG Matrix of Superellipse and Superellipsoid / C:
Superellipse / C.1:
Superellipsoid / C.2:
Introduction / 1:
Curves and Surfaces in Space / 1.1:
Mathematical Description / 1.1.1:
9.

図書

図書
Larry L. Peterson & Bruce S. Davie
出版情報: San Francisco, Calif. : Morgan Kaufmann Publishers, c2000  xxvi, 748 p. ; 25 cm
シリーズ名: The Morgan Kaufmann series in networking
所蔵情報: loading…
目次情報: 続きを見る
Foreword
Foreword to the First Edition
Preface / Chapter 1:
Foundation
Direct Link Networks / 1:
Problem: Building a Network / Chapter 3:
Packet Switching
Internetworking / 1.1:
Applications
End-to-End Protocols / Chapter 5:
Requirements / Chapter 6:
Congestion Control & Resource Allocation
End-to-end Data / 1.2.1:
Connectivity
Security / Chapter 8:
Cost-Effective Resource Sharing / Chapter 9:
Support for Common Services / 1.2.3:
Network Architecture / 1.3:
Layering and Protocols / 1.3.1:
OSI Architecture / 1.3.2:
Internet Architecture / 1.3.3:
Implementing Network Software / 1.4:
Application Programming Interface (Sockets) / 1.4.1:
Example Application / 1.4.2:
Protocol Implementation Issues / 1.4.3:
Performance / 1.5:
Bandwidth and Latency / 1.5.1:
Delay x Bandwidth Product / 1.5.2:
High-Speed Networks / 1.5.3:
Application Performance Needs / 1.5.4:
Summary / 1.6:
Open Issue: Ubiquitous Networking
Further Reading
Exercises
Problem: Physically Connecting Hosts / 2:
Hardware Building Blocks / 2.1:
Nodes / 2.1.1:
Links / 2.1.2:
Encoding (NRZ, NRZI, Manchester, 4B/5B) / 2.2:
Framing / 2.3:
Byte-Oriented Protocols (BISYNC, PPP, DDCMP) / 2.3.1:
Bit-Oriented Protocols (HDLC) / 2.3.2:
Clock-Based Framing (SONET) / 2.3.3:
Error Detection / 2.4:
Two-Dimensional Parity / 2.4.1:
Internet Checksum Algorithm / 2.4.2:
Cyclic Redundancy Check / 2.4.3:
Reliable Transmission / 2.5:
Stop-and-Wait / 2.5.1:
Sliding Window / 2.5.2:
Concurrent Logical Channels / 2.5.3:
Ethernet (802.3) / 2.6:
Physical Properties / 2.6.1:
Access Protocol / 2.6.2:
Experience with Ethernet / 2.6.3:
Token Rings (802.5, FDDI) / 2.7:
Token Ring Media Access Control / 2.7.1:
Token Ring Maintenance / 2.7.3:
Frame Format / 2.7.4:
FDDI / 2.7.5:
Wireless (802.11) / 2.8:
Collision Avoidance / 2.8.1:
Distribution System / 2.8.3:
Network Adaptors / 2.8.4:
Components / 2.9.1:
View from the Host / 2.9.2:
Memory Bottleneck / 2.9.3:
Open Issue: Does It Belong in Hardware? / 2.10:
Problem: Not All Networks Are Directly Connected / 3:
Switching and Forwarding / 3.1:
Datagrams / 3.1.1:
Virtual Circuit Switching / 3.1.2:
Source Routing / 3.1.3:
Bridges and LAN Switches / 3.2:
Learning Bridges / 3.2.1:
Spanning Tree Algorithm / 3.2.2:
Broadcast and Multicast / 3.2.3:
Limitations of Bridges / 3.2.4:
Cell Switching (ATM) / 3.3:
Cells / 3.3.1:
Segmentation and Reassembly / 3.3.2:
Virtual Paths / 3.3.3:
Physical Layers for ATM / 3.3.4:
ATM in the LAN / 3.3.5:
Implementation and Performance / 3.4:
Ports / 3.4.1:
Fabrics / 3.4.2:
Open Issue: The Future of ATM / 3.5:
Problem: There Is More Than One Network / 4:
Simple Internetworking (IP) / 4.1:
What Is an Internetwork? / 4.1.1:
Service Model / 4.1.2:
Global Addresses / 4.1.3:
Datagram Forwarding in IP / 4.1.4:
Address Translation (ARP) / 4.1.5:
Host Configuration (DHCP) / 4.1.6:
Error Reporting (ICMP) / 4.1.7:
Virtual Networks and Tunnels / 4.1.8:
Routing / 4.2:
Network as a Graph / 4.2.1:
Distance Vector (RIP) / 4.2.2:
Link State (OSPF) / 4.2.3:
Metrics / 4.2.4:
Routing for Mobile Hosts / 4.2.5:
Global Internet / 4.3:
Subnetting / 4.3.1:
Classless Routing (CIDR) / 4.3.2:
Interdomain Routing (BGP) / 4.3.3:
Routing Areas / 4.3.4:
IP Version 6 (IPv6) / 4.3.5:
Multicast / 4.4:
Link-State Multicast / 4.4.1:
Distance-Vector Multicast / 4.4.2:
Protocol Independent Multicast (PIM) / 4.4.3:
Multiprotocol Label Switching (MPLS) / 4.5:
Destination-Based Forwarding / 4.5.1:
Explicit Routing / 4.5.2:
Virtual Private Networks and Tunnels / 4.5.3:
Open Issue: Deployment of IPV6 / 4.6:
Problem: Getting Processess to Communicate / 5:
Simple Demultiplexer (UDP) / 5.1:
Reliable Byte Stream (TCP) / 5.2:
End-to-End Issues / 5.2.1:
Segment Format / 5.2.2:
Connection Establishment and Termination / 5.2.3:
Sliding Window Revisited / 5.2.4:
Triggering Transmission / 5.2.5:
Adaptive Retransmission / 5.2.6:
Record Boundaries / 5.2.7:
TCP Extensions / 5.2.8:
Alternative Design Choices / 5.2.9:
Remote Procedure Call / 5.3:
Bulk Transfer (BLAST) / 5.3.1:
Request/Reply (CHAN) / 5.3.2:
Dispatcher (SELECT) / 5.3.3:
Putting It All Together (SunRPC, DCE) / 5.3.4:
Open Issue: Application-Specific Protocols / 5.4:
Congestion Control and Resource Allocation / 6:
Problem: Allocating Resources
Issues in Resource Allocation / 6.1:
Network Model / 6.1.1:
Taxonomy / 6.1.2:
Evaluation Criteria / 6.1.3:
Queuing Disciplines / 6.2:
FIFO / 6.2.1:
Fair Queuing / 6.2.2:
TCP Congestion Control / 6.3:
Additive Increase/Multiplicative Decrease / 6.3.1:
Slow Start / 6.3.2:
Fast Retransmit and Fast Recovery / 6.3.3:
Congestion-Avoidance Mechanisms / 6.4:
DECbit / 6.4.1:
Random Early Detection (RED) / 6.4.2:
Source-Based Congestion Avoidance / 6.4.3:
Quality of Service / 6.5:
Application Requirements / 6.5.1:
Integrated Services (RSVP) / 6.5.2:
Differentiated Services (EF, AF) / 6.5.3:
ATM Quality of Service / 6.5.4:
Equation-Based Congestion Control / 6.5.5:
Open Issue: Inside versus Outside the Network / 6.6:
End-to-End Data / 7:
Problem: What Do We Do with the Data?
Presentation Formatting / 7.1:
Examples (XDR, ASN. 1, NDR) / 7.1.1:
Markup Languages (XML) / 7.1.3:
Data Compression / 7.2:
Lossless Compression Algorithms / 7.2.1:
Image Compression (JPEG) / 7.2.2:
Video Compression (MPEG) / 7.2.3:
Transmitting MPEG over a Network / 7.2.4:
Audio Compression (MP3) / 7.2.5:
Open Issue: Computer Networks Meet Consumer Electronics / 7.3:
Network Security / 8:
Problem: Securing the Data
Cryptographic Algorithms / 8.1:
Secret Key Encryption (DES) / 8.1.1:
Public Key Encryption (RSA) / 8.1.3:
Message Digest Algorithms (MD5) / 8.1.4:
Security Mechanisms / 8.1.5:
Authentication Protocols / 8.2.1:
Message Integrity Protocols / 8.2.2:
Public Key Distribution (X.509) / 8.2.3:
Example Systems / 8.3:
Pretty Good Privacy (PGP) / 8.3.1:
Secure Shell (SSH) / 8.3.2:
Transport Layer Security (TLS, SSL, HTTPS) / 8.3.3:
IP Security (IPSEC) / 8.3.4:
Firewalls / 8.4:
Filter-Based Firewalls / 8.4.1:
Proxy-Based Firewalls / 8.4.2:
Limitations / 8.4.3:
Open Issue: Denial-of-Service Attacks / 8.5:
Problem: Applications Need Their Own Protocols / 9:
Name Service (DNS) / 9.1:
Domain Hierarchy / 9.1.1:
Name Servers / 9.1.2:
Name Resolution / 9.1.3:
Traditional Applications / 9.2:
Electronic Mail (SMTP, MIME, IMAP) / 9.2.1:
World Wide Web (HTTP) / 9.2.2:
Network Management (SNMP) / 9.2.3:
Multimedia Applications / 9.3:
Real-time Transport Protocol (RTP) / 9.3.1:
Session Control and Call Control (SDP, SIP, H.323) / 9.3.2:
Overlay Networks / 9.4:
Routing Overlays / 9.4.1:
Peer-to-Peer Networks / 9.4.2:
Content Distribution Networks / 9.4.3:
Open Issue: New Network Artichitecture / 9.5:
Glossary
Bibliography
Solutions to Selected Exercises
Index
About the Authors
Foreword
Foreword to the First Edition
Preface / Chapter 1:
10.

図書

図書
Larry L. Peterson & Bruce S. Davie
出版情報: San Francisco, Calif. : Morgan Kaufmann Publishers, c1996  xxiii, 552 p. ; 25 cm
所蔵情報: loading…
目次情報: 続きを見る
Foreword
Foreword to the First Edition
Preface / Chapter 1:
Foundation
Direct Link Networks / 1:
Problem: Building a Network / Chapter 3:
Packet Switching
Internetworking / 1.1:
Applications
End-to-End Protocols / Chapter 5:
Requirements / Chapter 6:
Congestion Control & Resource Allocation
End-to-end Data / 1.2.1:
Connectivity
Security / Chapter 8:
Cost-Effective Resource Sharing / Chapter 9:
Support for Common Services / 1.2.3:
Network Architecture / 1.3:
Layering and Protocols / 1.3.1:
OSI Architecture / 1.3.2:
Internet Architecture / 1.3.3:
Implementing Network Software / 1.4:
Application Programming Interface (Sockets) / 1.4.1:
Example Application / 1.4.2:
Protocol Implementation Issues / 1.4.3:
Performance / 1.5:
Bandwidth and Latency / 1.5.1:
Delay x Bandwidth Product / 1.5.2:
High-Speed Networks / 1.5.3:
Application Performance Needs / 1.5.4:
Summary / 1.6:
Open Issue: Ubiquitous Networking
Further Reading
Exercises
Problem: Physically Connecting Hosts / 2:
Hardware Building Blocks / 2.1:
Nodes / 2.1.1:
Links / 2.1.2:
Encoding (NRZ, NRZI, Manchester, 4B/5B) / 2.2:
Framing / 2.3:
Byte-Oriented Protocols (BISYNC, PPP, DDCMP) / 2.3.1:
Bit-Oriented Protocols (HDLC) / 2.3.2:
Clock-Based Framing (SONET) / 2.3.3:
Error Detection / 2.4:
Two-Dimensional Parity / 2.4.1:
Internet Checksum Algorithm / 2.4.2:
Cyclic Redundancy Check / 2.4.3:
Reliable Transmission / 2.5:
Stop-and-Wait / 2.5.1:
Sliding Window / 2.5.2:
Concurrent Logical Channels / 2.5.3:
Ethernet (802.3) / 2.6:
Physical Properties / 2.6.1:
Access Protocol / 2.6.2:
Experience with Ethernet / 2.6.3:
Token Rings (802.5, FDDI) / 2.7:
Token Ring Media Access Control / 2.7.1:
Token Ring Maintenance / 2.7.3:
Frame Format / 2.7.4:
FDDI / 2.7.5:
Wireless (802.11) / 2.8:
Collision Avoidance / 2.8.1:
Distribution System / 2.8.3:
Network Adaptors / 2.8.4:
Components / 2.9.1:
View from the Host / 2.9.2:
Memory Bottleneck / 2.9.3:
Open Issue: Does It Belong in Hardware? / 2.10:
Problem: Not All Networks Are Directly Connected / 3:
Switching and Forwarding / 3.1:
Datagrams / 3.1.1:
Virtual Circuit Switching / 3.1.2:
Source Routing / 3.1.3:
Bridges and LAN Switches / 3.2:
Learning Bridges / 3.2.1:
Spanning Tree Algorithm / 3.2.2:
Broadcast and Multicast / 3.2.3:
Limitations of Bridges / 3.2.4:
Cell Switching (ATM) / 3.3:
Cells / 3.3.1:
Segmentation and Reassembly / 3.3.2:
Virtual Paths / 3.3.3:
Physical Layers for ATM / 3.3.4:
ATM in the LAN / 3.3.5:
Implementation and Performance / 3.4:
Ports / 3.4.1:
Fabrics / 3.4.2:
Open Issue: The Future of ATM / 3.5:
Problem: There Is More Than One Network / 4:
Simple Internetworking (IP) / 4.1:
What Is an Internetwork? / 4.1.1:
Service Model / 4.1.2:
Global Addresses / 4.1.3:
Datagram Forwarding in IP / 4.1.4:
Address Translation (ARP) / 4.1.5:
Host Configuration (DHCP) / 4.1.6:
Error Reporting (ICMP) / 4.1.7:
Virtual Networks and Tunnels / 4.1.8:
Routing / 4.2:
Network as a Graph / 4.2.1:
Distance Vector (RIP) / 4.2.2:
Link State (OSPF) / 4.2.3:
Metrics / 4.2.4:
Routing for Mobile Hosts / 4.2.5:
Global Internet / 4.3:
Subnetting / 4.3.1:
Classless Routing (CIDR) / 4.3.2:
Interdomain Routing (BGP) / 4.3.3:
Routing Areas / 4.3.4:
IP Version 6 (IPv6) / 4.3.5:
Multicast / 4.4:
Link-State Multicast / 4.4.1:
Distance-Vector Multicast / 4.4.2:
Protocol Independent Multicast (PIM) / 4.4.3:
Multiprotocol Label Switching (MPLS) / 4.5:
Destination-Based Forwarding / 4.5.1:
Explicit Routing / 4.5.2:
Virtual Private Networks and Tunnels / 4.5.3:
Open Issue: Deployment of IPV6 / 4.6:
Problem: Getting Processess to Communicate / 5:
Simple Demultiplexer (UDP) / 5.1:
Reliable Byte Stream (TCP) / 5.2:
End-to-End Issues / 5.2.1:
Segment Format / 5.2.2:
Connection Establishment and Termination / 5.2.3:
Sliding Window Revisited / 5.2.4:
Triggering Transmission / 5.2.5:
Adaptive Retransmission / 5.2.6:
Record Boundaries / 5.2.7:
TCP Extensions / 5.2.8:
Alternative Design Choices / 5.2.9:
Remote Procedure Call / 5.3:
Bulk Transfer (BLAST) / 5.3.1:
Request/Reply (CHAN) / 5.3.2:
Dispatcher (SELECT) / 5.3.3:
Putting It All Together (SunRPC, DCE) / 5.3.4:
Open Issue: Application-Specific Protocols / 5.4:
Congestion Control and Resource Allocation / 6:
Problem: Allocating Resources
Issues in Resource Allocation / 6.1:
Network Model / 6.1.1:
Taxonomy / 6.1.2:
Evaluation Criteria / 6.1.3:
Queuing Disciplines / 6.2:
FIFO / 6.2.1:
Fair Queuing / 6.2.2:
TCP Congestion Control / 6.3:
Additive Increase/Multiplicative Decrease / 6.3.1:
Slow Start / 6.3.2:
Fast Retransmit and Fast Recovery / 6.3.3:
Congestion-Avoidance Mechanisms / 6.4:
DECbit / 6.4.1:
Random Early Detection (RED) / 6.4.2:
Source-Based Congestion Avoidance / 6.4.3:
Quality of Service / 6.5:
Application Requirements / 6.5.1:
Integrated Services (RSVP) / 6.5.2:
Differentiated Services (EF, AF) / 6.5.3:
ATM Quality of Service / 6.5.4:
Equation-Based Congestion Control / 6.5.5:
Open Issue: Inside versus Outside the Network / 6.6:
End-to-End Data / 7:
Problem: What Do We Do with the Data?
Presentation Formatting / 7.1:
Examples (XDR, ASN. 1, NDR) / 7.1.1:
Markup Languages (XML) / 7.1.3:
Data Compression / 7.2:
Lossless Compression Algorithms / 7.2.1:
Image Compression (JPEG) / 7.2.2:
Video Compression (MPEG) / 7.2.3:
Transmitting MPEG over a Network / 7.2.4:
Audio Compression (MP3) / 7.2.5:
Open Issue: Computer Networks Meet Consumer Electronics / 7.3:
Network Security / 8:
Problem: Securing the Data
Cryptographic Algorithms / 8.1:
Secret Key Encryption (DES) / 8.1.1:
Public Key Encryption (RSA) / 8.1.3:
Message Digest Algorithms (MD5) / 8.1.4:
Security Mechanisms / 8.1.5:
Authentication Protocols / 8.2.1:
Message Integrity Protocols / 8.2.2:
Public Key Distribution (X.509) / 8.2.3:
Example Systems / 8.3:
Pretty Good Privacy (PGP) / 8.3.1:
Secure Shell (SSH) / 8.3.2:
Transport Layer Security (TLS, SSL, HTTPS) / 8.3.3:
IP Security (IPSEC) / 8.3.4:
Firewalls / 8.4:
Filter-Based Firewalls / 8.4.1:
Proxy-Based Firewalls / 8.4.2:
Limitations / 8.4.3:
Open Issue: Denial-of-Service Attacks / 8.5:
Problem: Applications Need Their Own Protocols / 9:
Name Service (DNS) / 9.1:
Domain Hierarchy / 9.1.1:
Name Servers / 9.1.2:
Name Resolution / 9.1.3:
Traditional Applications / 9.2:
Electronic Mail (SMTP, MIME, IMAP) / 9.2.1:
World Wide Web (HTTP) / 9.2.2:
Network Management (SNMP) / 9.2.3:
Multimedia Applications / 9.3:
Real-time Transport Protocol (RTP) / 9.3.1:
Session Control and Call Control (SDP, SIP, H.323) / 9.3.2:
Overlay Networks / 9.4:
Routing Overlays / 9.4.1:
Peer-to-Peer Networks / 9.4.2:
Content Distribution Networks / 9.4.3:
Open Issue: New Network Artichitecture / 9.5:
Glossary
Bibliography
Solutions to Selected Exercises
Index
About the Authors
Foreword
Foreword to the First Edition
Preface / Chapter 1:
11.

図書

図書
Ubbo Visser
出版情報: Berlin : Springer, c2004  xiv, 150 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 3159 . Lecture notes in artificial intelligence
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目次情報: 続きを見る
Introduction and Related Work / Part I:
Introduction / 1:
Semantic Web Vision / 1.1:
Research Topics / 1.2:
Search on the Web / 1.3:
Integration Tasks / 1.4:
Organization / 1.5:
Related Work / 2:
Approaches for Terminological Representation and Reasoning / 2.1:
The Role of Ontologies / 2.1.1:
Use of Mappings / 2.1.2:
Approaches for Spatial Representation and Reasoning / 2.2:
Spatial Representation / 2.2.1:
Spatial Reasoning / 2.2.2:
More Approaches / 2.2.3:
Approaches for Temporal Representation and Reasoning / 2.3:
Temporal Theories Based on Time Points / 2.3.1:
Temporal Theories Based on Intervals / 2.3.2:
Summary of Recent Approaches / 2.3.3:
Evaluation of Approaches / 2.4:
Terminological Approaches / 2.4.1:
Spatial Approaches / 2.4.2:
Temporal Approaches / 2.4.3:
The Buster Approach for Terminological, Spatial, and Temporal Representation and Reasoning / Part II:
General Approach of Buster / 3:
Requirements / 3.1:
Conceptual Architecture / 3.2:
Query Phase / 3.2.1:
Acquisition Phase / 3.2.2:
Comprehensive Source Description / 3.3:
The Dublin Core Elements / 3.3.1:
Additional Element Descriptions / 3.3.2:
Background Models / 3.3.3:
Example / 3.3.4:
Relevance / 3.4:
Terminological Representation and Reasoning, Semantic Translation / 4:
Representation / 4.1:
Reasoning / 4.1.2:
Integration/Translation on the Data Level / 4.1.3:
Representation and Reasoning Components / 4.2:
Ontologies / 4.2.1:
Description Logics / 4.2.2:
Reasoning Components / 4.2.3:
Semantic Translation / 4.3:
Context Transformation by Rules / 4.3.1:
Context Transformation by Re-classification / 4.3.2:
Example: Translation ATKIS-CORINE Land Cover / 4.4:
Spatial Representation and Reasoning / 5:
Intuitive Spatial Labeling / 5.1:
Place Names, Gazetteers and Footprints / 5.1.2:
Place Name Structures / 5.1.3:
Spatial Relevance / 5.1.4:
Polygonal Tessellation / 5.1.5:
Place Names / 5.2.2:
Spatial Relevance Reasoning / 5.2.3:
Temporal Representation and Reasoning / 5.4:
Intuitive Labeling / 6.1:
Time Interval Boundaries / 6.1.2:
Structures / 6.1.3:
Explicit Qualitative Relations / 6.1.4:
Period Names / 6.2:
Boundaries / 6.2.3:
Relations / 6.2.4:
Temporal Relevance / 6.3:
Distance Between Time Intervals / 6.3.1:
Overlapping of Time Periods / 6.3.2:
Relations Between Boundaries / 6.4:
Relations Between Two Time Periods / 6.4.2:
Relations Between More Than Two Time Periods / 6.4.3:
Qualitative Statements / 6.5:
Quantitative Statements / 6.5.2:
Inconsistencies (Quantitative/Qualitative) / 6.5.3:
Inconsistencies (Reasoner Implicit/Qualitative) / 6.5.4:
Inconsistencies (Qualitative/Quantitative) / 6.5.5:
Implementation, Conclusion, and Future Work / Part III:
Implementation Issues and System Demonstration / 7:
Architecture / 7.1:
Single Queries / 7.2:
Terminological Queries / 7.2.1:
Spatial Queries / 7.2.2:
Temporal Queries / 7.2.3:
Combined Queries / 7.3:
Spatio-terminological Queries / 7.3.1:
Temporal-Terminological Queries / 7.3.2:
Spatio-temporal-terminological Queries / 7.3.3:
Conclusion and Future Work / 8:
Conclusion / 8.1:
Semantic Web / 8.1.1:
BUSTER Approach and System / 8.1.2:
Future Work / 8.2:
Terminological Part / 8.2.1:
Spatial Part / 8.2.2:
Temporal Part / 8.2.3:
References
Introduction and Related Work / Part I:
Introduction / 1:
Semantic Web Vision / 1.1:
12.

図書

図書
Manolis Koubarakis ... [et al.]
出版情報: Berlin ; Tokyo : Springer, c2003  xiv, 352 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2520
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Introduction / Manolis Koubarakis ; Timos Sellis1:
Why Spatio-temporal Databases? / 1.1:
Chorochronos / 1.2:
Contributions / 1.3:
Organization of the Book / 1.4:
References
Ontology for Spatio-temporal Databases / Andrew U. Frank2:
Ontology to Drive Information System Design / 2.1:
Ontological Problems of Geographic Information Systems and Other Spatio-temporal Information Systems / 2.1.2:
Structure of the Chapter / 2.1.3:
The Notion of Ontology / 2.2:
Classical View / 2.2.1:
Social Reality / 2.2.2:
Application Domains / 2.3:
Table-Top Situation / 2.3.1:
Cityscape / 2.3.2:
Geographic Landscape / 2.3.3:
Model of Information Systems / 2.4:
Information Systems as Vehicles of Exchange between Multiple Agents / 2.4.1:
Correctness of Information System Related to Observations / 2.4.2:
Semantics for Terms in Information Systems / 2.4.3:
Grounding of Semantics in Physical Operations / 2.4.4:
The Five Tiers of the Ontology / 2.5:
Physical Reality Seen as an Ontology of a Four-Dimensional Field / 2.5.1:
Observation of Physical Reality / 2.5.2:
Operations and Ontology of Individuals / 2.5.3:
Social Ontology / 2.5.4:
Ontology of Cognitive Agents / 2.5.5:
The Language to Describe the Ontology / 2.6:
Tools to Implement Ontologies / 2.6.1:
Multi-agent Systems and Formalization of Database Ontologies / 2.6.2:
Ontological Tier 0: Ontology of the Physical Reality / 2.7:
Properties / 2.7.1:
Physical Space-Time Field / 2.7.2:
Ontological Tier 1: Our Limited Knowledge of the World through Observations of Reality / 2.8:
Observations / 2.8.1:
Measurement Units / 2.8.2:
Classification of Values / 2.8.3:
Special Observations: Points in Space and Time / 2.8.4:
Approximate Location / 2.8.5:
Discretization and Sampling / 2.8.6:
Virtual Datasets: Validity of Values / 2.8.7:
Ontological Tier 2: Representation - World of Individual Objects / 2.9:
Objects Are Defined by Uniform Properties / 2.9.1:
Geometry of Objects / 2.9.2:
Properties of Objects / 2.9.3:
Geographic Objects Are not Solid Bodies / 2.9.4:
Objects Endure in Time / 2.9.5:
Temporal, but A-Spatial Objects / 2.9.6:
Ontological Tier 3: Socially Constructed Reality / 2.10:
Social Reality Is Real within a Context / 2.10.1:
Names / 2.10.2:
Institutional Reality / 2.10.3:
Ontological Tier 4: Modeling Cognitive Agents / 2.11:
Logical Deduction / 2.11.1:
Two Time Perspectives / 2.11.2:
Sources of Knowledge / 2.11.3:
Ontological Commitments Necessary for a Spatio-temporal Database / 2.12:
Existence of a Single Reality / 2.12.1:
Values for Properties Can Be Observed / 2.12.2:
Assume Space and Time / 2.12.3:
Observations Are Necessarily Limited / 2.12.4:
Processes Determine Objects / 2.12.5:
Names of Objects / 2.12.6:
Social, Especially Institutionally Constructed Reality / 2.12.7:
Knowledge of an Agent Is Changing in Time / 2.12.8:
Conclusions / 2.13:
Conceptual Models for Spatio-temporal Applications / Nectaria Tryfona ; Rosanne Price ; Christian S. Jensen3:
Motivation / 3.1:
Spatio-temporal Foundations / 3.2:
Spatio-temporal Entity-Relationship Model / 3.3:
Extending the ER with Spatio-temporal Constructs / 3.3.1:
A Textual Notation for STER / 3.3.2:
Example of Usage of STER / 3.3.3:
Spatio-temporal Unified Modeling Language / 3.4:
Using UML Core Constructs for Spatio-temporal Data / 3.4.1:
Overview of Extended Spatio-temporal UML / 3.4.2:
Basic Constructs: Spatial, Temporal, Thematic / 3.4.3:
Additional Constructs: Specification Box, Existence Time, and Groups / 3.4.4:
Example of Usage / 3.4.5:
Related Work / 3.5:
Spatio-temporal Models and Languages: An Approach Based on Data Types / Ralf Hartmut Güting ; Michael H. Böhlen ; Martin Erwig ; Nikos Lorentzos ; Enrico Nardelli ; Markus Schneider ; Jose R.R. Viqueira3.6:
The Data Type Approach / 4.1:
Modeling / 4.2.1:
Some Example Queries / 4.2.3:
Some Basic Issues / 4.2.4:
An Abstract Model: A Foundation for Representing and Querying Moving Objects / 4.3:
Spatio-temporal Data Types / 4.3.1:
Language Embedding of Abstract Data Types / 4.3.2:
Overview of Data Type Operations / 4.3.3:
Operations on Non-temporal Types / 4.3.4:
Operations on Temporal Types / 4.3.5:
Application Example / 4.3.6:
Summary / 4.3.7:
A Discrete Model: Data Structures for Moving Objects Databases / 4.4:
Overview / 4.4.1:
Definition of Discrete Data Types / 4.4.2:
Outlook / 4.5:
Spatio-temporal Predicates and Developments / 4.5.1:
Spatio-temporal Partitions / 4.5.2:
On a Spatio-temporal Relational Model Based on Quanta / 4.5.3:
Spatio-temporal Statement Modifiers / 4.5.4:
Spatio-temporal Models and Languages: An Approach Based on Constraints / Stéphane Grumbach ; Philippe Rigaux ; Michel Scholl ; Spiros Skiadopoulos5:
Representing Spatio-temporal Information Using Constraints / 5.1:
An Algebra for Relations with Constraints / 5.2.1:
Indefinite Information in Spatio-temporal Databases / 5.3:
Querying Indefinite Information / 5.3.1:
Beyond Flat Constraint Relations: The dedale Approach / 5.4:
The dedale Algebra / 5.4.1:
The User Query Language of dedale / 5.5:
The Syntax / 5.5.1:
Example Queries / 5.5.2:
Access Methods and Query Processing Techniques / Adriano Di Pasquale ; Luca Forlizzi ; Yannis Manolopoulos ; Dieter Pfoser ; Guido Proietti ; Simonas èaltenis ; Yannis Theodoridis ; Theodoros Tzouramanis ; Michael Vassilakopoulos5.6:
R-Tree-Based Methods / 6.1:
Preliminary Approaches / 6.2.1:
The Spatio-bitemporal R Tree / 6.2.2:
The Time-Parameterized R Tree / 6.2.3:
Trajectory Bundle / 6.2.4:
Quadtree-Based Methods / 6.3:
The MOF Tree / 6.3.1:
The MOF+-Tree / 6.3.2:
Overlapping Linear Quadtrees / 6.3.3:
Multiversion Linear Quadtree / 6.3.4:
Data Structures and Algorithms for the Discrete Model / 6.4:
Data Structures / 6.4.1:
Two Example Algorithms / 6.4.2:
Benchmarking and Data Generation / 6.5:
Benchmarking / 6.5.1:
Data Generation / 6.5.2:
Distribution and Optimization Issues / 6.6:
Distributed Indexing Techniques / 6.6.1:
Query Optimization / 6.6.2:
Architectures and Implementations of Spatio-temporal Database Management Systems / Martin Breunig ; Can Türker ; Stefan Dieker ; Lukas Relly ; Hans-Jörg Schek ; Michel Scholl|p2636.7:
Architectural Aspects / 7.1:
The Layered Architecture / 7.2.1:
The Monolithic Architecture / 7.2.2:
The Extensible Architecture / 7.2.3:
Commercial Approaches to Spatial-temporal Extensions / 7.2.4:
The Concert Prototype System / 7.3:
Architecture / 7.3.1:
Spatio-temporal Extensions / 7.3.3:
Implementation Details / 7.3.4:
Case Studies / 7.3.5:
The Secondo Prototype System / 7.4:
Second-Order Signature / 7.4.1:
Implementing Spatio-temporal Algebra Modules / 7.4.3:
The Dedale Prototype System / 7.5:
Interpolation in the Constraint Model: Representation of Moving Objects / 7.5.1:
Example of Query Evaluation / 7.5.3:
The Tiger Prototype System / 7.6:
Tiger's Implementation / 7.6.1:
Processing Queries Using External Modules-Case Study / 7.6.5:
The GeoToolKit Prototype System / 7.7:
CaseStudies / 7.7.1:
Advanced Uses: Composing Interactive Spatio-temporal Documents / Isabelle Mirbel ; Barbara Pernici ; Babis Theodoulidis ; Alex Vakaloudis ; Michalis Vazirgiannis7.8:
Interactive Presentations and Spatio-temporal Databases / 8.1:
Modeling the Components of Spatio-temporal Interactive Documents / 8.3:
Particularities of 3D-Spatio-temporal Modeling for ScenarioComponents / 8.3.1:
Meta-modeling / 8.3.2:
Temporal Semantics / 8.3.3:
3D-Spatial Semantics / 8.3.4:
3D-Spatio-temporal Semantics / 8.3.5:
Modeling of Spatio-temporal Behavior / 8.4:
Modeling Interaction with Events / 8.4.1:
Database Support for Scenario Components / 8.5:
Querying and Accessing Stored Components / 8.5.1:
A Global Architecture / 8.5.2:
Examples of Applications / 8.6:
Spatio-temporal Databases in the Years Ahead / 8.7:
Mobile and Wireless Computing / 9.1:
Data Warehousing and Mining / 9.3:
The Semantic Web / 9.4:
List of Contributors / 9.5:
Introduction / Manolis Koubarakis ; Timos Sellis1:
Why Spatio-temporal Databases? / 1.1:
Chorochronos / 1.2:
13.

図書

図書
Daniel Scharstein
出版情報: Berlin ; New York : Springer, c1999  xv, 163 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1583
所蔵情報: loading…
目次情報: 続きを見る
Introduction / 1:
The Problem / 1.1:
Applications / 1.1.1:
The Computer Graphics Approach / 1.1.2:
Avoiding the Model / 1.1.3:
A Review of Stereo Vision / 1.2:
Camera Model and Image Formation / 1.2.1:
Stereo Geometry / 1.2.2:
The Correspondence Problem / 1.2.3:
The Epipolar Constraint / 1.2.4:
A Simple Stereo Geometry / 1.2.5:
Rectification / 1.2.6:
Example: SSD / 1.2.7:
Contributions and Outline / 1.3:
A Survey of Image-Based Rendering and Stereo / 2:
Image-Based Rendering / 2.1:
View Synthesis Based on Stereo / 2.1.1:
View Interpolation / 2.1.2:
Mosaics and Layered Representations / 2.1.3:
Stereo / 2.2:
A Framework for Stereo / 2.2.1:
Preprocessing / 2.2.2:
Matching Cost / 2.2.3:
Evidence Aggregation / 2.2.4:
Disparity Selection / 2.2.5:
Sub-Pixel Disparity Computation / 2.2.6:
Diffusion-Based Techniques / 2.2.7:
Other Techniques / 2.2.8:
Promising Recent Approaches / 2.2.9:
Computer Vision Books / 2.3:
View Synthesis / 3:
Geometry / 3.1:
Three-View Rectification / 3.1.1:
The Linear Warping Equation / 3.1.2:
Computing the Rectifying Homographies / 3.1.3:
Synthesizing a New View / 3.2:
Resolving Visibility / 3.2.1:
Holes and Sampling Gaps / 3.2.2:
Combining Information from Both Images / 3.2.3:
Adjusting Intensities / 3.2.4:
Filling Holes / 3.2.5:
The View Synthesis Algorithm / 3.2.6:
Limitations of the Approach / 3.2.7:
Experiments / 3.3:
Image-Based Scene Representations / 3.4:
Summary / 3.5:
Re-evaluating Stereo / 4:
Traditional Applications of Stereo / 4.1:
Automated Cartography / 4.1.1:
Robot Navigation / 4.1.2:
3D Reconstruction / 4.1.3:
3D Recognition / 4.1.4:
Visual Servoing / 4.1.5:
Full vs. Weak Calibration / 4.1.6:
Comparison of Requirements / 4.1.7:
Stereo for View Synthesis / 4.2:
Accuracy / 4.3:
Correct vs. Realistic Views / 4.4:
Areas of Uniform Intensities / 4.5:
Geometric Constraints / 4.5.1:
Interpolated Views / 4.5.2:
Extrapolated Views / 4.5.3:
General Views and the Aperture Problem / 4.5.4:
Assigning Canonical Depth Interpretations / 4.5.5:
Does Adding More Cameras Help? / 4.5.6:
Partial Occlusion / 4.6:
Gradient-Based Stereo / 4.7:
Similarity and Confidence / 5.1:
Displacement-Oriented Stereo / 5.2:
The Evidence Measure / 5.3:
Comparing Two Gradient Vectors / 5.3.1:
Comparing Gradient Fields / 5.3.2:
Computing Gradients of Discrete Images / 5.3.3:
Accumulating the Measure / 5.4:
Stereo: 1D Search Range / 5.5:
General Motion: 2D Search Range / 5.5.3:
Computing Disparity Maps for View Synthesis / 5.6:
Occlusion Boundaries / 5.6.1:
Detecting Partially Occluded Points and Uniform Regions / 5.6.2:
Extrapolating the Disparities / 5.6.3:
Efficiency / 5.7:
Discussion and Possible Extensions / 5.8:
Stereo Using Diffusion / 5.9:
Disparity Space / 6.1:
The SSD Algorithm and Boundary Blurring / 6.2:
Aggregating Support by Diffusion / 6.3:
The Membrane Model / 6.3.1:
Support Function for the Membrane Model / 6.3.2:
Diffusion with Local Stopping / 6.4:
A Bayesian Model of Stereo Matching / 6.5:
The Prior Model / 6.5.1:
The Measurement Model / 6.5.2:
Explicit Local Distribution Model / 6.5.3:
Conclusion / 6.6:
Contributions in View Synthesis / 7.1:
Contributions in Stereo / 7.2:
Extensions and Future Work / 7.3:
Bibliography
Introduction / 1:
The Problem / 1.1:
Applications / 1.1.1:
14.

図書

図書
by Wunibald Kunz and Josef Schintlmeister
出版情報: Oxford ; New York : Pergamon Press, 1963-  v. ; 30 cm
所蔵情報: loading…
目次情報:
pt. 1. Nuclear properties. v. 1. The elements from neutron to tin, 0-50. v. 2. The elements from antimony to nobelium, 51-102
pt. 2. Nuclear reactions. v. 1. The elements from neutron to magnesium, 0-12. 2 v. v. 2. The elements from aluminium to sulphur, 13-16
pt. 2, v. 3. The elements from chlorine to calcium
pt. 1. Nuclear properties. v. 1. The elements from neutron to tin, 0-50. v. 2. The elements from antimony to nobelium, 51-102
pt. 2. Nuclear reactions. v. 1. The elements from neutron to magnesium, 0-12. 2 v. v. 2. The elements from aluminium to sulphur, 13-16
pt. 2, v. 3. The elements from chlorine to calcium
15.

図書

図書
by E.J. Gumbel
出版情報: New York : Columbia University Press, 1958  xx, 375 p. ; 24 cm
所蔵情報: loading…
目次情報: 続きを見る
Aims and Tools / Chapter 1:
Aims / 1.0.:
Conditions / 1.0.1.:
History / 1.0.2.:
The Flood Problem / 1.0.3.:
Methodology / 1.0.4.:
Arrangement of Contents / 1.0.5.:
General Tools / 1.1.:
Linear Transformations / 1.1.1.:
Other Transformations / 1.1.2.:
Symmetry / 1.1.3.:
Measures of Dispersion / 1.1.4.:
Moments / 1.1.5.:
Generating Function / 1.1.6.:
Convolution / 1.1.7.:
The Gamma Function / 1.1.8.:
The Logarithmic Normal Distribution / 1.1.9.:
Specific Tools / 1.2.:
Problems / 1.2.0.:
The Intensity Function / 1.2.1.:
The Distribution of Repeated Occurrences / 1.2.2.:
Analysis of Return Periods / 1.2.3.:
"Observed" Distributions / 1.2.4.:
Construction of Probability Papers / 1.2.5.:
The Plotting Problem / 1.2.6.:
Conditions for Plotting Positions / 1.2.7.:
Fitting Straight Lines on Probability Papers / 1.2.8.:
Application to the Normal Distribution / 1.2.9.:
Order Statistics and Their Exceedances / Chapter 2:
Order Statistics / 2.1.:
Distributions / 2.1.0.:
Averages / 2.1.2.:
Distribution of Frequencies / 2.1.3.:
Asymptotic Distribution of mth Central Values / 2.1.4.:
The Order Statistic with Minimum Variance / 2.1.5.:
Control Band / 2.1.6.:
Joint Distribution of Order Statistics / 2.1.7.:
Distribution of Distances / 2.1.8.:
The Distribution of Exceedances / 2.2.:
Introduction / 2.2.0.:
Distribution of the Number of Exceedances / 2.2.1.:
The Median / 2.2.2.:
The Probability of Exceedances as Tolerance Limit / 2.2.4.:
Extrapolation from Small Samples / 2.2.5.:
Normal and Rare Exceedances / 2.2.6.:
Frequent Exceedances / 2.2.7.:
Summary / 2.2.8.:
Exact Distribution of Extremes / Chapter 3:
Averages of Extremes / 3.1.:
Exact Distributions / 3.1.0.:
Return Periods of Largest and Large Values / 3.1.2.:
Quantiles of Extremes / 3.1.3.:
Characteristic Extremes / 3.1.4.:
The Extremal Intensity Function / 3.1.5.:
The Mode / 3.1.6.:
The Maximum of the Mean Largest Value / 3.1.7.:
Extremal Statistics / 3.2.:
Absolute Extreme Values / 3.2.0.:
Exact Distribution of Range / 3.2.2.:
The Mean Range / 3.2.3.:
The Range as Tolerance Limit / 3.2.4.:
The Maximum of the Mean Range / 3.2.5.:
Exact Distribution of the Midrange / 3.2.6.:
Asymptotic Independence of Extremes / 3.2.7.:
The Extremal Quotient / 3.2.8.:
Analytical Study of Extremes / Chapter 4:
The Exponential Type / 4.1.:
Largest Value for the Exponential Distribution / 4.1.0.:
Order Statistics for the Exponential Distribution / 4.1.2.:
L'Hopital's Rule / 4.1.3.:
Definition of the Exponential Type / 4.1.4.:
The Three Classes / 4.1.5.:
The Logarithmic Trend / 4.1.6.:
The Characteristic Product / 4.1.7.:
Extremes of the Exponential Type / 4.2.:
The Logistic Distribution / 4.2.0.:
Normal Extremes, Numerical Values / 4.2.2.:
Analysis of Normal Extremes / 4.2.3.:
Normal Extreme Deviates / 4.2.4.:
Gamma Distribution / 4.2.5.:
Logarithmic Normal Distribution / 4.2.6.:
The Normal Distribution as a Distribution of Extremes / 4.2.7.:
The Cauchy Type / 4.3.:
The Exponential Type and the Existence of Moments / 4.3.0.:
Pareto's Distribution / 4.3.2.:
Definition of the Pareto and the Cauchy Types / 4.3.3.:
Extremal Properties / 4.3.4.:
Other Distributions without Moments / 4.3.5.:
The First Asymptotic Distribution / 4.3.6.:
The Three Asymptotes / 5.1.:
Preliminary Derivation / 5.1.0.:
The Stability Postulate / 5.1.2.:
Outline of Other Derivations / 5.1.3.:
Interdependence / 5.1.4.:
The Double Exponential Distribution / 5.2.:
Derivations / 5.2.0.:
The Methods of Cramer and Von Mises / 5.2.2.:
Mode and Median / 5.2.3.:
Generating Functions / 5.2.4.:
Standard and Mean Deviations / 5.2.5.:
Probability Paper and Return Period / 5.2.6.:
Comparison with Other Distributions / 5.2.7.:
Barricelli's Generalization / 5.2.8.:
Extreme Order Statistics / 5.3.:
Distribution of the MTH Extreme / 5.3.0.:
Probabilities of the mth Extreme / 5.3.2.:
Cramer's Distribution of MTH Extremes / 5.3.3.:
Extreme Distances / 5.3.5.:
The Largest Absolute Value and the Two Sample Problem / 5.3.6.:
Uses of the First Asymptote / Chapter 6:
Order Statistics from the Double Exponential Distribution / 6.1.:
Maxima of Largest Values / 6.1.0.:
Minima of Largest Values / 6.1.2.:
Consecutive Modes / 6.1.3.:
Consecutive Means and Variances / 6.1.4.:
Standard Errors / 6.1.5.:
Extension of the Control Band / 6.1.6.:
The Control Curve of Dick and Darwin / 6.1.7.:
Estimation of Parameters / 6.2.:
Exponential and Normal Extremes / 6.2.0.:
Use of Order Statistics / 6.2.2.:
Estimates for Probability Paper / 6.2.3.:
Sufficient Estimation Functions / B. F. Kimball6.2.4.:
Maximum Likelihood Estimations / 6.2.5.:
Approximate Solutions / 6.2.6.:
Asymptotic Variance of a Forecast / 6.2.7.:
Numerical Examples / 6.3.:
Floods / 6.3.0.:
The Design Flood / 6.3.2.:
Meteorological Examples / 6.3.3.:
Application to Aeronautics / 6.3.4.:
Oldest Ages / 6.3.5.:
Breaking Strength / 6.3.6.:
Breakdown Voltage / 6.3.7.:
Applications to Naval Engineering / 6.3.8.:
An Application to Geology / 6.3.9.:
The Second and Third Asymptotes / Chapter 7:
The Second Asymptote / 7.1.:
Frechet's Derivation / 7.1.0.:
Averages and Moments / 7.1.2.:
Estimation of the Parameters / 7.1.4.:
The Increase of the Extremes / 7.1.5.:
Generalization / 7.1.6.:
Applications / 7.1.7.:
The Third Asymptote / 7.1.8.:
The Von Mises Derivation / 7.2.0.:
Other Derivations / 7.2.2.:
Averages and Moments of Smallest Values / 7.2.3.:
Special Cases / 7.2.4.:
The 15 Relations Among the 3 Asymptotes / 7.2.5.:
Applications of the Third Asymptote / 7.3.:
Estimation of the Three Parameters / 7.3.0.:
Estimation of Two Parameters / 7.3.2.:
Analytical Examples / 7.3.3.:
Droughts / 7.3.4.:
Fatigue Failures / 7.3.5.:
The Range / Chapter 8:
Asymptotic Distributions of Range and Midrange / 8.1.:
The Range of Minima / 8.1.0.:
Generating Function of the Range / 8.1.2.:
The Reduced Range / 8.1.3.:
Asymptotic Distribution of the Midrange / 8.1.4.:
A Bivariate Transformation / 8.1.5.:
Asymptotic Distribution of the Range / 8.1.6.:
Boundary Conditions / 8.1.7.:
Extreme Ranges / 8.1.8.:
Extremal Quotient and Geometric Range / 8.1.9.:
Definitions / 8.2.0.:
The Geometric Range / 8.2.2.:
The Midrange / 8.3.:
The Parameters in the Distribution of Range / 8.3.2.:
Normal Ranges / 8.3.3.:
Estimation of Initial Standard Deviation / 8.3.4.:
Climatological Examples / 8.3.5.:
Bibliography
Index
Aims and Tools / Chapter 1:
Aims / 1.0.:
Conditions / 1.0.1.:
16.

図書

図書
edited by Jacques Carmona and Michèle Vergne
出版情報: Berlin ; New York : Springer-Verlag, 1979  244 p. ; 25 cm
シリーズ名: Lecture notes in mathematics ; 728
所蔵情報: loading…
目次情報: 続きを見る
Introduction to Acoustics / 1:
Fundamental Physical Principles / 1.1:
Sound Pressure / 1.1.1:
Particle Velocity / 1.1.2:
Sound Power / 1.1.3:
Frequency / 1.1.4:
The Speed of Sound / 1.1.5:
Wavelength / 1.1.6:
Characteristics of the Auditory System / 1.2:
The Sensation of Loudness / 1.2.1:
Masking / 1.2.2:
Directional Characteristics / 1.2.3:
Directional Hearing / 1.2.4:
The Cocktail Party Effect / 1.2.5:
Masking for the Musician / 1.2.6:
Sensitivity to Changes in Frequency and Sound Pressure Level / 1.2.7:
Structure of Musical Sound / 2:
Introducing the Model / 2.1:
Frequency-and Level: Structures / 2.2:
The Harmonic Tone Structure of Sound Spectra / 2.2.1:
The Frequency Range of Sound Spectra / 2.2.2:
Formants / 2.2.3:
The Effect of Individual Partials / 2.2.4:
Frequency Width of Partials / 2.2.5:
Noise Contributions / 2.2.6:
Dynamics and the Sound Spectrum / 2.2.7:
Dynamic Range and Sound Power / 2.2.8:
Time Structures / 2.3:
Deviations from a Steady Vibration Process / 2.3.1:
The Starting Transient / 2.3.2:
Inharmonic Components / 2.3.3:
Decay of Resonating Systems / 2.3.4:
Decay Time and Reverberation Time / 2.3.5:
Fluctuations in the Quasistationary Part / 2.3.6:
Tonal Characteristics of Musical Instruments / 3:
Brass Instruments / 3.1:
The French Horn / 3.1.1:
The Trumpet / 3.1.2:
The Trombone / 3.1.3:
The Tuba / 3.1.4:
Woodwind Instruments / 3.2:
The Flute / 3.2.1:
The Oboe / 3.2.2:
The Clarinet / 3.2.3:
The Bassoon / 3.2.4:
String Instruments / 3.3:
The Violin / 3.3.1:
The Viola / 3.3.2:
The Cello / 3.3.3:
Double Bass / 3.3.4:
The Piano / 3.4:
Sound Spectra / 3.4.1:
Dynamics / 3.4.2:
Time Structure / 3.4.3:
The Harpsichord / 3.5:
The Harp / 3.5.1:
Percussion Instruments / 3.6.1:
Timpani / 3.7.1:
The Bass Drum / 3.7.2:
Snare Drum / 3.7.3:
Gong / 3.7.4:
Cymbals / 3.7.5:
The Triangle / 3.7.6:
The Singing Voice / 3.8:
Choral Singing / 3.8.1:
Foundations of Directional Sound Radiation / 4:
Directional Effects and Polar Diagrams / 4.1.1:
Evaluation and Representation / 4.1.2:
General Considerations / 4.2:
The Double Bass / 4.4.2:
The Grand Piano / 4.5:
Lid Open / 4.5.1:
Lid Closed / 4.5.2:
Lid Half Open / 4.5.3:
Lid Removed / 4.5.4:
The Timpani / 4.5.5:
The Drum / 4.7.2:
Gongs / 4.7.3:
Color Plates Following Page / 4.8:
Foundations of Room Acoustics / 5:
Reflection and Refraction / 5.1:
Reflection from a Flat Surface / 5.1.1:
Reflection from Curved Surfaces / 5.1.2:
Influence of the Wavelength / 5.1.3:
Absorption / 5.2:
Reverberation / 5.3:
Direct Sound and Diffuse Field / 5.4:
The Energy Density / 5.4.1:
The Direct Sound / 5.4.2:
Diffuse-Field Distance / 5.4.3:
Temporal Structure of the Sound Field / 5.5:
Acoustical Properties of Old and New Performance Spaces / 6:
Concert Halls / 6.1:
Tonal Requirements / 6.1.1:
Reverberation Time and Hall Size / 6.1.2:
Sound Field and Hall Shape / 6.1.3:
Acoustic Conditions on the Stage / 6.1.4:
The Location of the Conductor / 6.1.5:
Opera Houses / 6.2:
Reverberation Time and Room Size / 6.2.1:
Direct Sound and Early Reflections / 6.2.2:
Churches / 6.3:
Chamber Music Halls / 6.4:
Studios / 6.5:
Special Purpose Rooms / 6.6:
Open Air Stages / 6.7:
Seating Arrangement in the Concert Hall / 7:
Customary Positioning of Instrument Groups / 7.1:
The Tonal Effect in the Hall / 7.2:
Grand Pianos / 7.2.1:
Harps / 7.2.6:
Combined Sound of the Orchestra / 7.2.7:
Singing Voices / 7.2.8:
Acoustic Considerations for Instrumentation and Playing Technique / 8:
Strength of Ensembles / 8.1:
Historical Development / 8.1.1:
Adapting to the Hall / 8.1.2:
Performance Technique / 8.2:
Articulation and Tone Presentation / 8.3.1:
Vibrato / 8.3.2:
Playing Positions of Wind Instruments / 8.3.3:
Tempo and Room Acoustics / 8.4:
Acoustical Problems in the Opera House / 9:
Strength of the Orchestra / 9.1:
Sound Level in the Hall / 9.1.1:
Sound Level in the Orchestra Pit / 9.1.3:
Seating Arrangement in the Orchestra Pit / 9.2:
Customary Arrangements of Instrument Groups / 9.2.1:
Balance between Singers and Orchestra / 9.2.2:
Arrangement of Choirs and Music on Stage / 9.4:
Musicians in the Scene / 9.4.1:
Musicians behind the Scene / 9.4.2:
Appendix Table for Angular Dependence of the Statistical Directivity Factor
References
Subject Index
Author, Composer, and Composition Index
Introduction to Acoustics / 1:
Fundamental Physical Principles / 1.1:
Sound Pressure / 1.1.1:
17.

図書

図書
Peter Müller
出版情報: Berlin : Springer, c2002  xiv, 292 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2262
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Introduction / 1:
Motivation / 1.1:
Specification and Verification Technique / 1.2:
The Problem / 1.3:
Modular Correctness / 1.3.1:
The Frame Problem / 1.3.2:
Modular Verification of Type Invariants / 1.3.3:
The Extended State Problem / 1.3.4:
Alias Control / 1.3.5:
Modularity Aspects of Programs, Specifications, and Proofs / 1.4:
Modularity of Programs / 1.4.1:
Modularity of Universal Specifications / 1.4.2:
Modularity of Interface Specifications / 1.4.3:
Modularity of Correctness Proofs / 1.4.4:
Approach, Outline, and Contributions / 1.5:
Approach / 1.5.1:
Outline / 1.5.2:
Contributions / 1.5.3:
Related Work / 1.6:
Specification Techniques / 1.6.1:
Verification and Analysis Techniques / 1.6.2:
Mojave and the Universe Type System / 2:
Mojave: The Language / 2.1:
The Language Core / 2.1.1:
Modularity / 2.1.2:
Universes: A Type System for Flexible Alias Control / 2.2:
The Ownership Model / 2.2.1:
The Universe Programming Model / 2.2.2:
Programming with Universes / 2.2.3:
Examples / 2.2.4:
Formalization of the Universe Type System / 2.2.5:
Discussion / 2.2.6:
The Semantics of Mojave / 2.3:
Programming Logic / 3.1:
Formal Data and State Model / 3.1.1:
Axiomatic Semantics / 3.1.2:
Language Properties / 3.1.3:
Type Safety / 3.2.1:
Liveness Properties / 3.2.2:
Properties of Readonly Methods / 3.2.3:
Correctness / 3.3:
Correctness of Closed Programs / 3.3.1:
Correctness of Open Programs: Modular Correctness / 3.3.2:
Modular Soundness / 3.3.3:
Composition of Modular Correct Open Programs / 3.3.4:
Modular Specification and Verification of Functional Behavior / 3.4:
Foundations of Interface Specifications / 4.1:
Specification of Functional Behavior / 4.2:
Abstract Fields / 4.2.1:
Pre-post-specifications / 4.2.2:
Verification of Functional Behavior / 4.3:
Verification of Method Bodies / 4.3.1:
Proofs for Virtual Methods / 4.3.2:
Example / 4.3.3:
Modular Specification and Verification of Frame Properties / 4.4:
Meaning of Modifies-Clauses / 5.1:
Explicit Dependencies / 5.1.2:
Modularity Rules / 5.1.3:
Formalization of Explicit Dependencies / 5.2:
Declaration of Dependencies / 5.2.1:
Axiomatization of the Depends-Relation / 5.2.2:
Consistency with Representation / 5.2.3:
Formalization of the Modularity Rules / 5.2.4:
Axiomatization of the Notdepends-Relation / 5.2.5:
Formalization of Modifies-Clauses / 5.2.6:
Verification of Frame Properties / 5.4:
Local Update Property / 5.4.1:
Accessibility Properties / 5.4.3:
Modularity Theorem for Frame Properties / 5.4.4:
Leino's and Nelson's Work on Dependencies / 5.4.5:
Other Work on the Frame Problem / 5.5.2:
Modular Specification and Verification of Type Invariants / 6:
Motivation and Approach / 6.1:
Invariant Semantics for Nonmodular Programs / 6.1.1:
Problems for Modular Verification of Invariants / 6.1.2:
Specification of Type Invariants / 6.1.3:
Declaration of Type Invariants / 6.2.1:
Formal Meaning of Invariants / 6.2.2:
Verification of Type Invariants / 6.3:
Verification Methodology / 6.3.1:
Module Invariants / 6.3.2:
History Constraints / 6.4.2:
Conclusion / 6.5:
Summary and Contributions / 7.1:
The Lopex Project / 7.2:
Tool Support / 7.3:
Directions for Future Work / 7.4:
Formal Background and Notations / A:
Formal Background / A.1:
Notations / A.2:
Predefined Type Declarations / B:
Doubly Linked List / C:
Property Editor / C.2:
Auxiliary Lemmas, Proofs, and Models / D:
Auxiliary Lemmas and Proofs from Chapter 3 / D.1:
Auxiliary Lemmas and Proofs from Chapter 5 / D.2:
Auxiliary Lemmas and Proofs from Chapter 6 / D.3:
A Model for the Axiomatization of the Depends-Relation / D.4:
Bibliography
List of Figures
Index
Introduction / 1:
Motivation / 1.1:
Specification and Verification Technique / 1.2:
18.

図書

図書
edited with translation and explanatory notes by S.D. Joshi in collaboration with J.A.F. Roodbergen
出版情報: Poona : University of Poona, 1969  xxvii, 70, 256 p. ; 26 cm
シリーズ名: Publications of the Centre of Advanced Study in Sanskrit ; class C ; no. 5
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19.

図書

図書
by V.N. Faddeyeva and N.M. Terent'ev ; edited by Academician V.A. Fok ; translated from the Russian by D.G. Fry, B.A. Hons.
出版情報: New York ; Oxford : Pergamon, 1961  280 p. ; 27 cm
シリーズ名: Mathematical tables series ; v. 2
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20.

図書

図書
Steffen Staab
出版情報: Berlin ; Tokyo : Springer, c1999  xiv, 187 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1744 . Lecture notes in artificial intelligence
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Introduction / 1:
Problems in Understanding Degree Expressions / 1.1:
General Approach / 1.2:
Overview / 1.3:
ParseTalk - The System Context / 2:
An Architecture for Text Knowledge Extraction / 2.1:
Syntactic Analysis / 2.2:
Dependency Grammar / 2.2.1:
The ParseTalk Parser / 2.2.2:
Conceptual System / 2.3:
Description Logics / 2.3.1:
Knowledge Base / 2.3.2:
Semantic System / 2.3.3:
Referring and Relating / 2.4:
Centering / 2.4.1:
Relation Path Patterns and Metonymy / 2.4.2:
An Example Text / 2.4.3:
Lexical Semantics of Degree Expressions / 3:
Scales / 3.1:
Critique on Ontological Models for Degree Expressions / 3.1.1:
New Ontological Entities / 3.1.2:
Gradable Adjectives / 3.2:
Classification of Adjectives / 3.2.1:
Figurative Language / 3.2.2:
Multiple Word Senses / 3.2.3:
Nominative vs. Normative Use / 3.2.4:
Two Types of Comparison / 3.2.5:
Non-adjectival Degree Expressions / 3.3:
Summary / 3.4:
Representation and Inferences / 4:
Requirements on Modeling Degree Relations / 4.1:
Linguistic Stipulations / 4.1.1:
Stipulations from Vagueness / 4.1.2:
Stipulations on Inferences / 4.1.3:
The Challenge: Functions / 4.1.4:
Binary Relations / 4.2:
Representation / 4.2.1:
Inferencing / 4.2.2:
Soundness and Incompleteness / 4.2.3:
Computational Complexity / 4.2.4:
Non-binary Relations / 4.3:
TCSPs and Allen's Calculus / 4.3.1:
From Binary to Non-binary Relations / 4.3.2:
A Formal Model of Generalized Temporal Networks (GTNs) / 4.3.3:
Determining Consistency / 4.3.4:
Computing the Minimal Network / 4.3.5:
Scaling by Abstractions / 4.3.6:
Scaling by Generalizations / 4.3.7:
Related Work / 4.4:
Related Work on Representing and Inferencing with Degree Expressions / 4.4.1:
Related Work on Temporal and Spatial Reasoning / 4.4.2:
Conclusion on Representation and Inferences / 4.5:
Relative Comparisons / 5:
Basic Model for Interpreting Relative Comparatives / 5.1:
Comparative Interpretation as Semantic Copying / 5.1.1:
Core Algorithm / 5.1.2:
An Example of Semantic Interpretation / 5.1.3:
Extension to Textual Phenomena / 5.2:
Comparatives with Omitted Complements / 5.2.1:
An Example for Omitted Complements / 5.2.2:
Metonymies in the Complement / 5.2.3:
Metonymic Entities in the Omitted Complement / 5.2.4:
An Example for Metonymic Entities in the Omitted Complement / 5.2.5:
Theoretical and Empirical Coverage / 5.3:
Generative Linguistics / 5.4:
Cognitive Foundations / 5.4.2:
Computational Approaches / 5.4.3:
Conclusion on Relative Comparisons / 5.5:
Absolute Comparisons / 6:
A Cognitive Framework for Absolute Comparisons / 6.1:
Representing Comparison Classes / 6.2:
Knowledge about Intercorrelations / 6.3:
Computing Comparison Classes / 6.4:
The Algorithm / 6.4.1:
A Sample Computation / 6.4.2:
Empirical Evaluation / 6.5:
Conclusion on Absolute Comparisons / 6.6:
Integration and Conclusion / 7:
Integration / 7.1:
(Comparison) Relations and Intercorrelations Revisited 150 / 7.1.1:
Drawing the Lines between the Two Comparison Paradigms / 7.1.2:
Relative Comparisons Meet Absolute Comparisons / 7.1.3:
Comparison Classes Meet Inferences / 7.1.4:
Further Research Issues / 7.2:
Pragmatics / 7.2.1:
Relative Comparisons and Analogy / 7.2.2:
Further Norms of Expectation / 7.2.3:
Conclusion / 7.3:
List of Conventions / A:
The Entity-Relationship Model / B:
Auxiliary Proofs / C:
Proof of Optimization Lemma / C.1:
Proof of Clipping Lemma / C.2:
Efficiency of Constraint Propagation / C.3:
Bibliography
Introduction / 1:
Problems in Understanding Degree Expressions / 1.1:
General Approach / 1.2:
21.

図書

図書
Peter Y. Yu, Manuel Cardona
出版情報: New York ; Tokyo : Springer Verlag, 1999  xvi, 620 p. ; 25 cm
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Introduction / 1:
A Survey of Semiconductors / 1.1:
Elemental Semiconductors / 1.1.1:
Binary Compounds / 1.1.2:
Oxides / 1.1.3:
Layered Semiconductors / 1.1.4:
Organic Semiconductors / 1.1.5:
Magnetic Semiconductors / 1.1.6:
Other Miscellaneous Semiconductors / 1.1.7:
Growth Techniques / 1.2:
Czochralski Method / 1.2.1:
Bridgman Method / 1.2.2:
Chemical Vapor Deposition / 1.2.3:
Molecular Beam Epitaxy / 1.2.4:
Liquid Phase Epitaxy / 1.2.5:
Summary
Electronic Band Structures / 2:
Quantum Mechanics / 2.1:
Translational Symmetry and Brillouin Zones / 2.2:
A Pedestrian's Guide to Group Theory / 2.3:
Definitions and Notations / 2.3.1:
Symmetry Operations of the Diamond and Zinc-Blende Structures / 2.3.2:
Representations and Character Tables / 2.3.3:
Some Applications of Character Tables / 2.3.4:
Empty Lattice or Nearly Free Electron Energy Bands / 2.4:
Nearly Free Electron Band Structure in a Zinc-Blende Crystal / 2.4.1:
Nearly Free Electron Energy Bands in Diamond Crystals / 2.4.2:
Band Structure Calculation by Pseudopotential Methods / 2.5:
Pseudopotential Form Factors in Zinc-Blende- and Diamond-Type Semiconductors / 2.5.1:
Empirical and Self-Consistent Pseudopotential Methods / 2.5.2:
The kċp Method of Band-Structure Calculations / 2.6:
Effective Mass of a Nondegenerate Band Using the kċp Method / 2.6.1:
Band Dispersion near a Degenerate Extremum: Top Valence Bands in Diamondand Zinc-Blende-Type Semiconductors / 2.6.2:
Tight-Binding or LCAO Approach to the Band Structure of Semiconductors / 2.7:
Molecular Orbitals and Overlap Parameters / 2.7.1:
Band Structure of Group-IV Elements by the Tight-Binding Method / 2.7.2:
Overlap Parameters and Nearest-Neighbor Distances / 2.7.3:
Problems
Vibrational Properties of Semiconductors, and Electron-Phonon Interactions / 3:
Phonon Dispersion Curves of Semiconductors / 3.1:
Models for Calculating Phonon Dispersion Curves of Semiconductors / 3.2:
Force Constant Models / 3.2.1:
Shell Model / 3.2.2:
Bond Models / 3.2.3:
Bond Charge Models / 3.2.4:
Electron-Phonon Interactions / 3.3:
Strain Tensor and Deformation Potentials / 3.3.1:
Electron-Acoustic-Phonon Interaction at Degenerate Bands / 3.3.2:
Piezoelectric Electron-Acoustic-Phonon Interaction / 3.3.3:
Electron-Optical-Phonon Deformation Potential Interactions / 3.3.4:
Frohlich Interaction / 3.3.5:
Interaction Between Electrons and Large-Wavevector Phonons: Intervalley Electron-Phonon Interaction / 3.3.6:
Electronic Properties of Defects / 4:
Classification of Defects / 4.1:
Shallow or Hydrogenic Impurities / 4.2:
Effective Mass Approximation / 4.2.1:
Hydrogenic or Shallow Donors / 4.2.2:
Donors Associated with Anisotropic Conduction Bands / 4.2.3:
Acceptor Levels in Diamond-and Zinc-Blende-Type Semiconductors / 4.2.4:
Deep Centers / 4.3:
Green's Function Method for Calculating Defect Energy Levels / 4.3.1:
An Application of the Green's Function Method: Linear Combination of Atomic Orbitals / 4.3.2:
Another Application of the Green's Function Method: Nitrogen in GaP and Ga AsP Alloys / 4.3.3:
Final Note on Deep Centers / 4.3.4:
Electrical Transport / 5:
Quasi-Classical Approach / 5.1:
Carrier Mobility for a Nondegenerate Electron Gas / 5.2:
Relaxation Time Approximation / 5.2.1:
Nondegenerate Electron Gas in a Parabolic Band / 5.2.2:
Dependence of Scattering and Relaxation Times on Electron Energy / 5.2.3:
Momentum Relaxation Times / 5.2.4:
Temperature Dependence of Mobilities / 5.2.5:
Modulation Doping / 5.3:
High-Field Transport and Hot Carrier Effects / 5.4:
Velocity Saturation / 5.4.1:
Negative Differential Resistance / 5.4.2:
Gunn Effect / 5.4.3:
Magneto-Transport and the Hall Effect / 5.5:
Magneto-Conductivity Tensor / 5.5.1:
Hall Effect / 5.5.2:
Hall Coefficient for Thin Film Samples (van der Pauw Method) / 5.5.3:
Hall Effect for a Distribution of Electron Energies / 5.5.4:
Optical Properties I / 6:
Macroscopic Electrodynamics / 6.1:
Digression: Units for the Frequency of Electromagnetic Waves / 6.1.1:
Experimental Determination of Optical Constants / 6.1.2:
Kramers-Kronig Relations / 6.1.3:
The Dielectric Function / 6.2:
Experimental Results / 6.2.1:
Microscopic Theory of the Dielectric Function / 6.2.2:
Joint Density of States and Van Hove Singularities / 6.2.3:
Van Hove Singularities in ϵi / 6.2.4:
Direct Absorption Edges / 6.2.5:
Indirect Absorption Edges / 6.2.6:
""""Forbidden"""" Direct Absorption Edges / 6.2.7:
Excitons / 6.3:
Exciton Effect at M0 Critical Points / 6.3.1:
Absorption Spectra of Excitons / 6.3.2:
Exciton Effect at M1 Critical Points or Hyperbolic Excitons / 6.3.3:
Exciton Effect at M3 Critical Points / 6.3.4:
Phonon-Polaritons and Lattice Absorption / 6.4:
Phonon-Polaritons / 6.4.1:
Lattice Absorption and Reflection / 6.4.2:
Multiphonon Lattice Absorption / 6.4.3:
Dynamic Effective Ionic Charges in Heteropolar Semiconductors / 6.4.4:
Absorption Associated with Extrinsic Electrons / 6.5:
Free-Carrier Absorption in Doped Semiconductors / 6.5.1:
Absorption by Carriers Bound to Shallow Donors and Acceptors / 6.5.2:
Modulation Spectroscopy / 6.6:
Frequency Modulated Reflectance and Thermoreflectance / 6.6.3:
Piezoreflectance / 6.6.4:
Electroreflectance (Franz-Keldysh Effect) / 6.6.5:
Photoreflectance / 6.6.6:
Reflectance Difference Spectroscopy / 6.6.7:
Optical Properties II / 7:
Emission Spectroscopies / 7.1:
Band-to-Band Transitions / 7.1.1:
Free-to-Bound Transitions / 7.1.2:
Donor-Acceptor Pair Transitions / 7.1.3:
Excitons and Bound Excitons / 7.1.4:
Luminescence Excitation Spectroscopy / 7.1.5:
Light Scattering Spectroscopies / 7.2:
Macroscopic Theory of Inelastic Light Scattering by Phonons / 7.2.1:
Raman Tensor and Selection Rules / 7.2.2:
Experimental Determination of Raman Spectra / 7.2.3:
Microscopic Theory of Raman Scattering / 7.2.4:
A Detour into the World of Feynman Diagrams / 7.2.5:
Brillouin Scattering / 7.2.6:
Experimental Determination of Brillouin Spectra / 7.2.7:
Resonant Raman and Brillouin Scattering / 7.2.8:
Photoelectron Spectroscopy / 8:
Photoemission / 8.1:
Angle-Integrated Photoelectron Spectra of the Valence Bands / 8.1.1:
Angle-Resolved Photoelectron Spectra of the Valence Bands / 8.1.2:
Core Levels / 8.1.3:
Inverse Photoemission
Surface Effects / 8.2:
Surface States and Surface Reconstruction / 8.3.1:
Surface Energy Bands / 8.3.2:
Fermi Level Pinning and Space Charge Layers / 8.3.3:
Effect of Quantum Confinement on Electrons and Phonons in Semiconductors / 9:
Quantum Confinement and Density of States / 9.1:
Quantum Confinement of Electrons and Holes / 9.2:
Semiconductor Materials for Quantum Wells and Superlattices / 9.2.1:
Classification of Multiple Quantum Wells and Superlattices / 9.2.2:
Confinement of Energy Levels of Electrons and Holes / 9.2.3:
Some Experimental Results / 9.2.4:
Phonons in Superlattices / 9.3:
Phonons in Superlattices: Folded Acoustic and Confined Optic Modes / 9.3.1:
Folded Acoustic Modes: Macroscopic Treatment / 9.3.2:
Confined Optical Modes: Macroscopic Treatment / 9.3.3:
Electrostatic Effects in Polar Crystals: Interface Modes / 9.3.4:
Raman Spectra of Phonons in Semiconductor Superlattices / 9.4:
Raman Scattering by Folded Acoustic Phonons / 9.4.1:
Raman Scattering by Confined Optical Phonons / 9.4.2:
Raman Scattering by Interface Modes / 9.4.3:
Macroscopic Models of Electron-LO Phonon (Fröhlich) Interaction in Multiple Quantum Wells / 9.4.4:
Electrical Transport: Resonant Tunneling / 9.5:
Resonant Tunneling Through a Double-Barrier Quantum Well / 9.5.1:
I-V Characteristics of Resonant Tunneling Devices / 9.5.2:
Quantum Hall Effects in Two-Dimensional Electron Gases / 9.6:
Landau Theory of Diamagnetism in a Three-Dimensional Free Electron Gas / 9.6.1:
Magneto-Conductivity of a Two-Dimensional Electron Gas: Filling Factor / 9.6.2:
The Experiment of von Klitzing, Pepper and Dorda / 9.6.3:
Explanation of the Hall Plateaus in the Integral Quantum Hall Effect / 9.6.4:
Concluding Remarks / 9.7:
Appendix: Pioneers of Semiconductor Physics Remember
Ultra-Pure Germanium: From Applied to Basic Research or an Old Semiconductor Offering New Opportunities / Eugene E. Haller
Two Pseudopotential Methods: Empirical and Ab Initio / Marvin L. Cohen
The Early Stages of Band-Structures Physics and Its Struggles for a Place in the Sun / Conyers Herring
Cyclotron Resonance and Structure of Conduction and Valence Band Edges in Silicon and Germanium / Charles Kittel
Optical Properties of Amorphous Semiconductors and Solar Cells / Jan Tauc
Optical Spectroscopy of Shallow Impurity Centers / Elias Burstein
On the Prehistory of Angular Resolved Photoemission / Neville V. Smith
The Discovery and Very Basics of the Quantum Hall Effect / Klaus von Klitzing
The Birth of the Semiconductor Superlattice / Leo Esaki
References
Subject Index
Table of Fundamental Physical Constants (Inside Front Cover)
Table of Units (Inside Back Cover)
Introduction / 1:
A Survey of Semiconductors / 1.1:
Elemental Semiconductors / 1.1.1:
22.

図書

図書
Josef Pauli
出版情報: Berlin ; Tokyo : Springer, c2001  ix, 288 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2048
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Introduction / 1:
Need for New-Generation Robot Systems / 1.1:
Paradigms of Computer Vision (CV) and Robot Vision (RV) / 1.2:
Characterization of Computer Vision / 1.2.1:
Ch aracterization of Robot Vision / 1.2.2:
Robot Systems versus Autonomous Robot Systems / 1.3:
Characterization of a Robot System / 1.3.1:
Characterization of an Autonomous Robot System / 1.3.2:
Autonomous Camera-Equipped Robot System / 1.3.3:
Important Role of Demonstration and Learning / 1.4:
Learning Feature Compatibilities under Real Imaging / 1.4.1:
Learning Feature Manifolds of Real World Situations / 1.4.2:
Learning Environment-Effector-Image Relationships / 1.4.3:
Compatibilities, Manifolds, and Relationships / 1.4.4:
Ch apter Overview of th e Work / 1.5:
Compatibilities for Object Boundary Detection / 2:
Introduction to th e Ch apter / 2.1:
General Context of th e Ch apter / 2.1.1:
Object Localization and Boundary Extraction / 2.1.2:
Detailed Review of Relevant Literature / 2.1.3:
Outline of th e Sections in th e Ch apter / 2.1.4:
Geometric/Photometric Compatibility Principles / 2.2:
HoughTransformation for Line Extraction / 2.2.1:
Orientation Compatibility between Lines and Edges / 2.2.2:
Junction Compatibility between Pencils and Corners / 2.2.3:
Compatibility-Based Structural Level Grouping / 2.3:
HoughPeaks for Approximate Parallel Lines / 2.3.1:
Phase Compatibility between Parallels and Ramps / 2.3.2:
Extraction of Regular Quadrangles / 2.3.3:
Extraction of Regular Polygons / 2.3.4:
Compatibility-Based Assembly Level Grouping / 2.4:
Focusing Image Processing on Polygonal Windows / 2.4.1:
Vanishing-Point Compatibility of Parallel Lines / 2.4.2:
Pencil Compatibility of Meeting Boundary Lines / 2.4.3:
Boundary Extraction for Approximate Polyhedra / 2.4.4:
Geometric Reasoning for Boundary Extraction / 2.4.5:
Visual Demonstrations for LearningDegrees ofCompatibility / 2.5:
LearningDegreeofLine/EdgeOrientationCompatibility / 2.5.1:
LearningDegreeofParallel/RampPhaseCompatibility / 2.5.2:
Learning Degree of Parallelism Compatibility / 2.5.3:
Summary and Discussion of th e Ch apter / 2.6:
Manifolds for Object and Situation Recognition / 3:
Approachfor Object and Situation Recognition / 3.1:
Learning Pattern Manifolds withGBFs and PCA / 3.1.3:
Compatibility and Discriminability for Recognition / 3.2.1:
Regularization Principles and GBF Networks / 3.2.2:
Canonical FrameswithPrincipalComponent Analysis.116 / 3.2.3:
GBF Networks for Approximation of Recognition Functions / 3.3:
Approachof GBF Network Learning for Recognition / 3.3.1:
Object Recognition under Arbitrary View Angle / 3.3.2:
Object Recognition for Arbitrary View Distance / 3.3.3:
Scoring of Grasping Situations / 3.3.4:
SophisticatedManifoldApproximationforRobustRecognition.133 / 3.4:
Making Manifold Approximation Tractable / 3.4.1:
Log-Polar Transformation for Manifold Simplification.137 / 3.4.2:
Space-Time Correlations for Manifold Refinement / 3.4.3:
Learning Strategy withPCA/GBF Mixtures / 3.4.4:
Learning-Based Achievement of RV Competences / 3.5:
Learning Beh avior-Based Systems / 4.1:
Integrating Deliberate Strategies and Visual Feedback / 4.1.3:
Dynamical Systems and Control Mechanisms / 4.2.1:
Generic Modules for System Development / 4.2.2:
Treatment of an Exemplary High-Level Task / 4.3:
Description of an Exemplary High-Level Task / 4.3.1:
Localization of a Target Object in the Image / 4.3.2:
Determining and Reconstructing Obstacle Objects / 4.3.3:
Approaching and Grasping Obstacle Objects / 4.3.4:
Clearing Away Obstacle Objects on a Parking Area / 4.3.5:
Inspection and/or Manipulation of a Target Object / 4.3.6:
Monitoring the Task-Solving Process / 4.3.7:
Overall Task-Specific Configuration of Modules / 4.3.8:
Basic Mechanisms for Camera-Robot Coordination / 4.4:
Camera-Manipulator Relation for One-Step Control / 4.4.1:
Camera-Manipulator Relation for Multi-step Control.245 / 4.4.2:
Hand Servoing for Determining the Optical Axis / 4.4.3:
Determining th e Field of Sh arp View / 4.4.4:
Summary and Discussion / 4.5:
Developing Camera-Equipped Robot Systems / 5.1:
Rationale for th e Contents of Th is Work / 5.2:
Proposals for Future Research Topics / 5.3:
Ellipsoidal Interpolation / Appendix 1:
Further Behavioral Modules / Appendix 2:
Symbols
Index
References
Introduction / 1:
Need for New-Generation Robot Systems / 1.1:
Paradigms of Computer Vision (CV) and Robot Vision (RV) / 1.2:
23.

図書

図書
Francis A. Carey and Richard J. Sundberg
出版情報: New York : Kluwer Academic/Plenum Publishers, c2001  xii, 965 p. ; 26 cm
シリーズ名: Advanced organic chemistry / Francis A. Carey and Richard J. Sundberg ; pt. B
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Alkylation of Nucleophilic Carbon Intermediates / Chapter 1.:
Generation of Carbanions by Deprotonation / 1.1.:
Regioselectivity and Stereoselectivity in Enolate Formation / 1.2.:
Other Means of Generating Enolates / 1.3.:
Alkylation of Enolates / 1.4.:
Generation and Alkylation of Dianions / 1.5.:
Medium Effects in the Alkylation of Enolates / 1.6.:
Oxygen versus Carbon as the Site of Alkylation / 1.7.:
Alkylation of Aldehydes, Esters, Amides, and Nitriles / 1.8.:
The Nitrogen Analogs of Enols and Enolates--Enamines and Imine Anions / 1.9.:
Alkylation of Carbon Nucleophiles by Conjugate Addition / 1.10.:
General References
Problems
Reaction of Carbon Nucleophiles with Carbonyl Groups / Chapter 2.:
Aldol Addition and Condensation Reactions / 2.1.:
The General Mechanism / 2.1.1.:
Mixed Aldol Condensations with Aromatic Aldehydes / 2.1.2.:
Control of Regiochemistry and Stereochemistry of Mixed Aldol Reactions of Aliphatic Aldehydes and Ketones / 2.1.3.:
Intramolecular Aldol Reactions and the Robinson Annulation / 2.1.4.:
Addition Reactions of Imines and Iminium Ions / 2.2.:
The Mannich Reaction / 2.2.1.:
Amine-Catalyzed Condensation Reactions / 2.2.2.:
Acylation of Carbanions / 2.3.:
The Wittig and Related Reactions of Phosphorus-Stabilized Carbon Nucleophiles / 2.4.:
Reactions of Carbonyl Compounds with [alpha]-Trimethylsilylcarbanions / 2.5.:
Sulfur Ylides and Related Nucleophiles / 2.6.:
Nucleophilic Addition--Cyclization / 2.7.:
Functional Group Interconversion by Nucleophilic Substitution / Chapter 3.:
Conversion of Alcohols to Alkylating Agents / 3.1.:
Sulfonate Esters / 3.1.1.:
Halides / 3.1.2.:
Introduction of Functional Groups by Nucleophilic Substitution at Saturated Carbon / 3.2.:
General Solvent Effects / 3.2.1.:
Nitriles / 3.2.2.:
Azides / 3.2.3.:
Oxygen Nucleophiles / 3.2.4.:
Nitrogen Nucleophiles / 3.2.5.:
Sulfur Nucleophiles / 3.2.6.:
Phosphorus Nucleophiles / 3.2.7.:
Summary of Nucleophilic Substitution at Saturated Carbon / 3.2.8.:
Nucleophilic Cleavage of Carbon-Oxygen Bonds in Ethers and Esters / 3.3.:
Interconversion of Carboxylic Acid Derivatives / 3.4.:
Preparation of Reactive Reagents for Acylation / 3.4.1.:
Preparation of Esters / 3.4.2.:
Preparation of Amides / 3.4.3.:
Electrophilic Additions to Carbon--Carbon Multiple Bonds / Chapter 4.:
Addition of Hydrogen Halides / 4.1.:
Hydration and Other Acid-Catalyzed Additions of Oxygen Nucleophiles / 4.2.:
Oxymercuration / 4.3.:
Addition of Halogens to Alkenes / 4.4.:
Electrophilic Sulfur and Selenium Reagents / 4.5.:
Addition of Other Electrophilic Reagents / 4.6.:
Electrophilic Substitution Alpha to Carbonyl Groups / 4.7.:
Additions to Allenes and Alkynes / 4.8.:
Addition at Double Bonds via Organoborane Intermediates / 4.9.:
Hydroboration / 4.9.1.:
Reactions of Organoboranes / 4.9.2.:
Enantioselective Hydroboration / 4.9.3.:
Hydroboration of Alkynes / 4.9.4.:
Reduction of Carbonyl and Other Functional Groups / Chapter 5.:
Addition of Hydrogen / 5.1.:
Catalytic Hydrogenation / 5.1.1.:
Other Hydrogen-Transfer Reagents / 5.1.2.:
Group III Hydride-Donor Reagents / 5.2.:
Reduction of Carbonyl Compounds / 5.2.1.:
Stereoselectivity of Hydride Reduction / 5.2.2.:
Reduction of Other Functional Groups by Hydride Donors / 5.2.3.:
Group IV Hydride Donors / 5.3.:
Hydrogen-Atom Donors / 5.4.:
Dissolving-Metal Reductions / 5.5.:
Reductive Removal of Functional Groups / 5.5.1.:
Reductive Carbon--Carbon Bond Formation / 5.5.3.:
Reductive Deoxygenation of Carbonyl Groups / 5.6.:
Reductive Elimination and Fragmentation / 5.7.:
Cycloadditions, Unimolecular Rearrangements, and Thermal Eliminations / Chapter 6.:
Cycloaddition Reactions / 6.1.:
The Diels--Alder Reaction: General Features / 6.1.1.:
The Diels--Alder Reaction: Dienophiles / 6.1.2.:
The Diels--Alder Reaction: Dienes / 6.1.3.:
Asymmetric Diels--Alder Reactions / 6.1.4.:
Intramolecular Diels--Alder Reactions / 6.1.5.:
Dipolar Cycloaddition Reactions / 6.2.:
[2 + 2] Cycloadditions and Other Reactions Leading to Cyclobutanes / 6.3.:
Photochemical Cycloaddition Reactions / 6.4.:
[3,3] Sigmatropic Rearrangements / 6.5.:
Cope Rearrangements / 6.5.1.:
Claisen Rearrangements / 6.5.2.:
[2,3] Sigmatropic Rearrangements / 6.6.:
Ene Reactions / 6.7.:
Unimolecular Thermal Elimination Reactions / 6.8.:
Cheletropic Elimination / 6.8.1.:
Decomposition of Cyclic Azo Compounds / 6.8.2.:
[beta] Eliminations Involving Cyclic Transition States / 6.8.3.:
Organometallic Compounds of the Group I, II, and III Metals / Chapter 7.:
Preparation and Properties / 7.1.:
Reactions of Organomagnesium and Organolithium Compounds / 7.2.:
Reactions with Alkylating Agents / 7.2.1.:
Reactions with Carbonyl Compounds / 7.2.2.:
Organic Derivatives of Group IIB and Group IIIB Metals / 7.3.:
Organozinc Compounds / 7.3.1.:
Organocadmium Compounds / 7.3.2.:
Organomercury Compounds / 7.3.3.:
Organoindium Reagents / 7.3.4.:
Organolanthanide Reagents / 7.4.:
Reactions Involving the Transition Metals / Chapter 8.:
Organocopper Intermediates / 8.1.:
Preparation and Structure of Organocopper Reagents / 8.1.1.:
Reactions Involving Organocopper Reagents and Intermediates / 8.1.2.:
Reactions Involving Organopalladium Intermediates / 8.2.:
Palladium-Catalyzed Nucleophilic Substitution and Alkylation / 8.2.1.:
The Heck Reaction / 8.2.2.:
Palladium-Catalyzed Cross Coupling / 8.2.3.:
Carbonylation Reactions / 8.2.4.:
Reactions Involving Organonickel Compounds / 8.3.:
Reactions Involving Rhodium and Cobalt / 8.4.:
Organometallic Compounds with [pi] Bonding / 8.5.:
Carbon--Carbon Bond-Forming Reactions of Compounds of Boron, Silicon, and Tin / Chapter 9.:
Organoboron Compounds / 9.1.:
Synthesis of Organoboranes / 9.1.1.:
Carbon--Carbon Bond-Forming Reactions of Organoboranes / 9.1.2.:
Organosilicon Compounds / 9.2.:
Synthesis of Organosilanes / 9.2.1.:
Carbon--Carbon Bond-Forming Reactions / 9.2.2.:
Organotin Compounds / 9.3.:
Synthesis of Organostannanes / 9.3.1.:
Reactions Involving Carbocations, Carbenes, and Radicals as Reactive Intermediates / 9.3.2.:
Reactions Involving Carbocation Intermediates / 10.1.:
Carbon-Carbon Bond Formation Involving Carbocations / 10.1.1.:
Rearrangement of Carbocations / 10.1.2.:
Related Rearrangements / 10.1.3.:
Fragmentation Reactions / 10.1.4.:
Reactions Involving Carbenes and Nitrenes / 10.2.:
Structure and Reactivity of Carbenes / 10.2.1.:
Generation of Carbenes / 10.2.2.:
Addition Reactions / 10.2.3.:
Insertion Reactions / 10.2.4.:
Generation and Reactions of Ylides by Carbenoid Decomposition / 10.2.5.:
Rearrangement Reactions / 10.2.6.:
Related Reactions / 10.2.7.:
Nitrenes and Related Intermediates / 10.2.8.:
Rearrangements to Electron-Deficient Nitrogen / 10.2.9.:
Reactions Involving Free-Radical Intermediates / 10.3.:
Sources of Radical Intermediates / 10.3.1.:
Introduction of Functionality by Radical Reactions / 10.3.2.:
Addition Reactions of Radicals to Substituted Alkenes / 10.3.3.:
Cyclization of Free-Radical Intermediates / 10.3.4.:
Fragmentation and Rearrangement Reactions / 10.3.5.:
Aromatic Substitution Reactions / Chapter 11.:
Electrophilic Aromatic Substitution / 11.1.:
Nitration / 11.1.1.:
Halogenation / 11.1.2.:
Friedel-Crafts Alkylations and Acylations / 11.1.3.:
Electrophilic Metalation / 11.1.4.:
Nucleophilic Aromatic Substitution / 11.2.:
Aryl Diazonium Ions as Synthetic Intermediates / 11.2.1.:
Substitution by the Addition-Elimination Mechanism / 11.2.2.:
Substitution by the Elimination-Addition Mechanism / 11.2.3.:
Transition-Metal-Catalyzed Substitution Reactions / 11.2.4.:
Aromatic Radical Substitution Reactions / 11.3.:
Substitution by the S[subscript RN]1 Mechanism / 11.4.:
Oxidations / Chapter 12.:
Oxidation of Alcohols to Aldehydes, Ketones, or Carboxylic Acids / 12.1.:
Transition-Metal Oxidants / 12.1.1.:
Other Oxidants / 12.1.2.:
Addition of Oxygen at Carbon-Carbon Double Bonds / 12.2.:
Epoxides from Alkenes and Peroxidic Reagents / 12.2.1.:
Transformations of Epoxides / 12.2.3.:
Reaction of Alkenes with Singlet Oxygen / 12.2.4.:
Cleavage of Carbon-Carbon Double Bonds / 12.3.:
Oxonolysis / 12.3.1.:
Selective Oxidative Cleavages at Other Functional Groups / 12.4.:
Cleavage of Glycols / 12.4.1.:
Oxidative Decarboxylation / 12.4.2.:
Oxidation of Ketones and Aldehydes / 12.5.:
Oxidation of Ketones and Aldehydes by Oxygen and Peroxidic Compounds / 12.5.1.:
Oxidation with Other Reagents / 12.5.3.:
Allylic Oxidation / 12.6.:
Oxidations at Unfunctionalized Carbon / 12.6.1.:
Planning and Execution of Multistep Syntheses / Chapter 13.:
Protective Groups / 13.1.:
Hydroxyl-Protecting Groups / 13.1.1.:
Amino-Protecting Groups / 13.1.2.:
Carbonyl-Protecting Groups / 13.1.3.:
Carboxylic Acid-Protecting Groups / 13.1.4.:
Synthetic Equivalent Groups / 13.2.:
Synthetic Analysis and Planning / 13.3.:
Control of Stereochemistry / 13.4.:
Illustrative Syntheses / 13.5.:
Juvabione / 13.5.1.:
Longifolene / 13.5.2.:
Prelog-Djerassi Lactone / 13.5.3.:
Taxol / 13.5.4.:
Epothilone A / 13.5.5.:
Solid-Phase Synthesis / 13.6.:
Solid-Phase Synthesis of Polypeptides / 13.6.1.:
Solid-Phase Synthesis of Oligonucleotides / 13.6.2.:
Combinatorial Synthesis / 13.7.:
References for Problems
Index
Alkylation of Nucleophilic Carbon Intermediates / Chapter 1.:
Generation of Carbanions by Deprotonation / 1.1.:
Regioselectivity and Stereoselectivity in Enolate Formation / 1.2.:
24.

図書

図書
Mikael Pettersson
出版情報: Berlin ; Tokyo ; New York : Springer, c1999  xvi, 240 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1549
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目次情報: 続きを見る
Introduction / 1:
The Problem / 1.1:
Our Solution / 1.2:
Overview of this Thesis / 1.3:
Relation to our Previous Work / 1.4:
Preliminaries / 2:
Use of Formal Specifications / 2.1:
Why Generate Compilers? / 2.1.1:
Ways to Specify Semantics / 2.2:
Interpreters / 2.2.1:
Abstract Machines / 2.2.2:
Attribute Grammars / 2.2.3:
Donotational Semantics / 2.2.4:
Action Semantics / 2.2.5:
Evolving Algebras / 2.2.6:
Structural Operational Semantics / 2.2.7:
Natural Semantics / 2.3:
Natural Deduction / 2.3.1:
Relation to Programming Languages / 2.3.2:
Example / 2.3.3:
Meaning / 2.3.4:
Pragmatics / 2.3.5:
Recent Extensions / 2.3.6:
The Design of RML / 3:
Syntax / 3.1:
Static Semantics / 3.2:
Bindings and Unknowns / 3.2.1:
Technicalities / 3.2.2:
Modelling Backtracking / 3.3:
Intuition / 3.3.1:
Origins / 3.3.2:
Denotational Semantics of Backtracking / 3.3.3:
Deter minacy / 3.4:
History / 3.5:
Dynamic Semantics / 3.5.1:
Differences from SML / 3.6:
Examples / 4:
A Small Example / 4.1:
Abstract Syntax / 4.1.1:
Inference Rules / 4.1.2:
Operational Interpretation / 4.1.3:
Mini-Freja / 4.2:
Values / 4.2.1:
Environments / 4.2.3:
Evaluation / 4.2.4:
Modularity / 4.2.5:
Adding Recursion / 4.2.6:
Summary / 4.2.7:
Diesel / 4.3:
Static Elaboration / 4.3.1:
Flattening / 4.3.2:
Emitting Code / 4.3.3:
C Glue / 4.3.4:
Petrol / 4.3.5:
Mini-ML / 4.4.1:
Rémy-Style let-Polymorphism / 4.5.1:
Equality Types / 4.5.2:
Wright's Simple Imperative Polymorphism / 4.5.3:
Overloading / 4.5.4:
Specification Fragments / 4.5.5:
Problematic Issues / 4.5.6:
Default Rules / 4.6.1:
Implementation Overview / 4.7:
Compilation Strategy / 5.1:
Development / 5.1.1:
Alternatives / 5.2:
Prolog / 5.2.1:
Warren's Abstract Machine / 5.2.2:
SML / 5.2.3:
Implementation Status / 5.3:
Reducing Nondeterminism / 6:
Background / 6.1:
Grammars / 6.1.1:
FOL Representation / 6.2:
The Front-End / 6.3:
The FOL-TRS Rewriting System / 6.4:
Properties / 6.5:
Termination / 6.5.1:
Confluence / 6.5.2:
Alternatives for Rewriting Negations / 6.5.3:
append / 6.6:
lookup / 6.6.2:
Missed Conditionals / 6.7:
Implementation Notes / 6.8:
Implementation Complexity / 6.8.1:
Limitations / 6.9:
Related Work / 6.10:
Compiling Pattern Matching / 7:
What is Matching? / 7.1:
Compiling Term Matching / 7.1.2:
Troublesome Examples / 7.2:
Copied Expressions / 7.2.1:
Repeated and Sub-Optimal Tests / 7.2.2:
Intuitive Operation / 7.3:
Objects / 7.4:
Operations / 7.4.2:
The Algorithm / 7.5:
Step 1: Preprocessing / 7.5.1:
Step 2: Generating the DFA / 7.5.2:
Step 3: Merging of Equivalent States / 7.5.3:
Step 4: Generating Intermediate Code / 7.5.4:
The Examples Revisited / 7.6:
The demo Function / 7.6.1:
The unwieldy Function / 7.6.2:
State Merging / 7.6.3:
Data Representation / 7.7:
Compile-Time Warnings / 7.7.2:
Matching Exceptions / 7.7.3:
Guarded Patterns / 7.7.4:
Modifications for RML / 7.8:
Experiences and Conclusions / 7.10:
Compiling Continuations / 8:
Properties of CPS / 8.1:
Translating RML to CPS / 8.2:
Local Optimizations on CPS / 8.2.1:
Translating CPS to Code / 8.3:
Control / 8.3.1:
Copy Propagation / 8.3.2:
Memory Allocation / 8.3.3:
Data / 8.3.4:
Translating Code to C / 8.4:
Memory Management / 8.4.1:
A Code Generation Example / 8.5:
Simulating Tailcalls in C / 9:
Overview / 9.1:
Why is C not Tail-Recursive? / 9.2:
Why do not Prototypes Help? / 9.2.1:
ANDF / 9.2.2:
Tailcall Classification / 9.3:
Plain Dispatching Labels / 9.4:
Alternative Access Methods for Globals / 9.4.1:
The Monster Switch / 9.5:
Dispatching Switches / 9.6:
Step 1: Fast Known Intramodule Calls / 9.6.1:
Step 2: Recognizing Unknown Intramodule Calls / 9.6.2:
Step 3: Fast Unknown Intramodule Calls / 9.6.3:
Additional Benefits / 9.6.4:
Pushy Labels / 9.7:
Pushy Labels and Register Windows / 9.7.1:
The `Warped Gotos' Technique / 9.8:
The wamcc Approach / 9.9:
Non-Solutions / 9.10:
Experimental Results / 9.11:
Conclusions / 9.12:
Performance Evaluation / 10:
Target Systems / 10.1:
Allocation Arena Size / 10.2:
State Access Methods / 10.4:
Compiler Optimizations / 10.5:
Facing the Opposition / 10.6:
Concluding Remarks / 10.6.1:
Future Work / 11.1:
Programming Sub-Language / 11.2.1:
Taming Side-Effects / 11.2.3:
Moded Types / 11.2.4:
Linear Types / 11.2.5:
Compile to SML / 11.2.6:
Tuning the Runtime Systems / 11.2.7:
User-Friendliness / 11.2.8:
The Definition of RML / A:
Differences to SML / A.1:
Notation for Natural Semantics / A.2:
Lexical Definitions / A.2.1:
Syntax Definitions / A.2.2:
Sets / A.2.3:
Tuples / A.2.4:
Finite Sequences / A.2.5:
Finite Maps / A.2.6:
Substitutions / A.2.7:
Disjoint Unions / A.2.8:
Relations / A.2.9:
Lexical Structure / A.2.10:
Reserved Words / A.3.1:
Integer Constants / A.3.2:
Real Constants / A.3.3:
Character Constants / A.3.4:
String Constants / A.3.5:
Identifiers / A.3.6:
Type Variables / A.3.7:
Whitespace and Comments / A.3.8:
Lexical Analysis / A.3.9:
Syntactic Structure / A.4:
Derived Forms, Full and Core Grammar / A.4.1:
Ambiguity / A.4.2:
Simple Objects / A.5:
Compound Objects / A.5.2:
Initial Static Environments / A.5.3:
Initial Dynamic Objects / A.5.4:
Inference Rides / A.6.4:
Initial Objects / A.7:
Initial Static Objects / A.7.1:
Bibliography / A.7.2:
Index
Introduction / 1:
The Problem / 1.1:
Our Solution / 1.2:
25.

図書

図書
Karsten Konrad
出版情報: Berlin ; Tokyo : Springer, c2004  xiii, 166 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2953 . Lecture notes in artificial intelligence
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Motivation / 1:
The Subject of This Volume / 1.1:
Interpretation, Analysis, Computation / 1.2:
Interpretation / 1.2.1:
Analysis / 1.2.2:
Computation / 1.2.3:
Acknowledgments / 1.3:
Logics / Part I:
Model Generation / 2:
Introduction / 2.1:
Preliminaries / 2.2:
Topics / 2.3:
Models and Decidability / 2.3.1:
Herbrand Models / 2.3.2:
Finite Models / 2.3.3:
Representations / 2.3.4:
Minimality / 2.3.5:
Subset Minimality / 2.3.6:
Domain Minimality / 2.3.7:
Predicate-Specific Minimality / 2.3.8:
Enumeration / 2.3.9:
Model Enumeration with Theorem Provers / 2.3.10:
Enumeration with Finite Model Generators / 2.3.11:
Methods / 2.4:
Analytical Tableaux / 2.4.1:
Ground Tableaux / 2.4.2:
Free Variable Tableaux / 2.4.3:
Positive Unit Hyper-resolution / 2.4.4:
A Method Complete for Finite Satisfiability / 2.4.5:
The Davis-Putnam Procedure / 2.4.6:
Calculus and Procedure / 2.4.7:
Branches as Models / 2.4.8:
Efficiency / 2.4.9:
Related Work / 2.5:
Higher-Order Model Generation / 3:
The A-Calculus in Linguistics / 3.1:
Composition of Meaning / 3.1.1:
Quantification in Natural Language / 3.1.2:
Quantifiers as Higher-Order Expressions / 3.1.3:
First-Order Limitations / 3.1.4:
A Motivation for a New Kind of Logic / 3.1.5:
Higher-Order Logic / 3.2:
Syntax / 3.2.1:
Types / 3.2.2:
Terms / 3.2.3:
Semantics / 3.2.4:
Functional Interpretations / 3.2.5:
Logical Constants / 3.2.6:
Defining a Logic / 3.2.7:
Standard Frames and Generalised Interpretations / 3.2.8:
Model Generation for Generalised Frames? / 3.2.9:
Equivalency for Higher-Order Atoms / 3.2.10:
Function Domains and Quantification / 3.2.11:
A Fragment of Higher-Order Logic / 3.3:
Constant Frames / 3.3.1:
Interpretations and Denotations / 3.3.4:
An <$>{\cal M}{\cal Q}{\cal L}<$> Logic / 3.3.5:
Connectives / 3.3.6:
Quantifiers / 3.3.7:
Definitions / 3.3.8:
Equality / 3.3.9:
Constructing Models / 3.4:
Determining Models Intelligently / 3.4.1:
Formulas as Constraints / 3.4.2:
Solving Constraints / 3.4.3:
Translating Formulas into Constraints / 3.4.4:
An Example / 3.4.5:
Properties of the Translation / 3.4.6:
Refutation Soundness / 3.4.7:
Completeness for <$>{\cal M}{\cal Q}{\cal L}<$> Satisfiability / 3.4.8:
Enumerating Models / 3.4.9:
Minimal Model Generation / 4:
Decidability of Local Minimality / 4.1:
Linguistics / Part II:
The Analysis of Definites / 5:
The Semantics of Definite Descriptions / 5.1:
Definites and Deduction / 5.1.2:
How Models Interpret Sentences / 5.1.3:
Discourse Models / 5.1.4:
Models for Definites / 5.1.5:
Uniqueness and Lots of Rabbits / 5.1.6:
Some Representations / 5.2:
Simple Cases / 5.2.1:
Donkeys, Context Sets, and Anaphoric Use / 5.2.2:
Quantifiers and Donkey Sentences / 5.2.3:
Context Set Restrictions / 5.2.4:
The Treatment of Names / 5.2.5:
Restrictions with Knowledge / 5.2.6:
Implicit Knowledge and Accommodation / 5.2.7:
Bridging / 5.2.8:
Simple Cases Revisited / 5.2.9:
Non-resolvable Anaphora in DRT / 5.2.10:
Definites Are Not Anaphora / 5.2.11:
Non-existence / 5.2.12:
What We Have Learned so Far / 5.3:
Reciprocity / 6:
Exploring the Meaning of Each Other / 6.1:
Reciprocals for Larger Groups / 6.2.1:
Classifying Reciprocal Meaning / 6.2.2:
Strong Reciprocity / 6.2.3:
One-Way Weak Reciprocity / 6.2.4:
Inclusive Alternative Ordering / 6.2.5:
Intermediate Reciprocity / 6.2.6:
Intermediate Alternative Reciprocity / 6.2.7:
Strong Alternative Reciprocity / 6.2.8:
Parameterisation / 6.2.9:
The Landscape of Reciprocity / 6.2.10:
Parameterised Definitions / 6.2.11:
Interpreting Reciprocals / 6.2.12:
The Strongest Meaning Hypothesis / 6.2.13:
A Counter-Example / 6.2.14:
The SMH Does Not Compute (Yet) / 6.2.15:
Inference to Best Reciprocal Meaning / 6.3:
To Strong Meaning through Minimality / 6.3.1:
Predicate Minimisation / 6.3.2:
A Logical Encoding of Less Is More / 6.3.3:
A First Attempt at Computation / 6.3.4:
First Method: Minimality by Proof / 6.3.5:
Second Method: Minimality by Bounded Search / 6.3.6:
Third Method: A Two-Stage Combination / 6.3.7:
Conservative Minimality / 6.3.8:
Experiments / 6.4:
Pitchers and Pearls / 6.4.1:
The Boston Pitchers / 6.4.2:
Pearls / 6.4.3:
Measles / 6.4.4:
Marriages / 6.4.5:
Loose Ends / 6.5:
How We Can Understand Each Other / 6.6:
Abduction / 7:
What Is Abduction? / 7.1:
A Formal Definition of Abduction / 7.1.1:
Models for Anaphora Resolution / 7.2:
Chasing the Criminal / 7.2.1:
Explaining Resolutions / 7.2.2:
Discussion / 7.2.3:
Incremental Inference instead of Generate-and-Test / 7.2.4:
An Alternative by Conservative Minimality / 7.2.5:
Weighted Abduction / 7.3:
Logic Programming and Abduction / 7.3.1:
Abductive Explanations / 7.3.2:
Weights and Costs / 7.3.3:
Applications / 7.3.4:
Definite Reference / 7.3.5:
Composite Noun Phrases / 7.3.6:
Resolving Ambiguity / 7.3.7:
Similarities / 7.3.8:
Differences and Comparison / 7.3.10:
Implementation / 8:
System Architecture / 8.1:
The Syntax / 8.3:
Formulas / 8.3.1:
Problem Specifications / 8.3.3:
A Small Example / 8.3.4:
The Semantics / 8.3.5:
Logic Definition Structures / 8.4.1:
Propagator Procedures / 8.4.2:
Monadic Quantifiers / 8.4.3:
Diadic Quantifiers / 8.4.5:
The Translation / 8.4.6:
Proof Engines and Controlling Search / 8.5:
Proof Engines / 8.5.1:
Search / 8.5.2:
System Performance / 8.6:
Identifying Single Solutions / 8.6.1:
Kimba as a Propositional Theorem Prover / 8.6.2:
Generating Minimal Models / 8.6.3:
Conclusion / 9:
Why Inference Is Worth the Effort / 9.1:
Contributions / 9.2:
Models as Meaning / 9.3:
Some Example Problems / A:
The Job Puzzle / A.1:
Reciprocals: The Boston Pitchers / A.2:
References
Index
Motivation / 1:
The Subject of This Volume / 1.1:
Interpretation, Analysis, Computation / 1.2:
26.

図書

図書
Peter Y. Yu, Manuel Cardona
出版情報: Berlin : Springer Verlag, c2001  xviii, 639 p. ; 25 cm
シリーズ名: Physics and astronomy online library
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目次情報: 続きを見る
Introduction / 1:
A Survey of Semiconductors / 1.1:
Elemental Semiconductors / 1.1.1:
Binary Compounds / 1.1.2:
Oxides / 1.1.3:
Layered Semiconductors / 1.1.4:
Organic Semiconductors / 1.1.5:
Magnetic Semiconductors / 1.1.6:
Other Miscellaneous Semiconductors / 1.1.7:
Growth Techniques / 1.2:
Czochralski Method / 1.2.1:
Bridgman Method / 1.2.2:
Chemical Vapor Deposition / 1.2.3:
Molecular Beam Epitaxy / 1.2.4:
Liquid Phase Epitaxy / 1.2.5:
Summary
Electronic Band Structures / 2:
Quantum Mechanics / 2.1:
Translational Symmetry and Brillouin Zones / 2.2:
A Pedestrian's Guide to Group Theory / 2.3:
Definitions and Notations / 2.3.1:
Symmetry Operations of the Diamond and Zinc-Blende Structures / 2.3.2:
Representations and Character Tables / 2.3.3:
Some Applications of Character Tables / 2.3.4:
Empty Lattice or Nearly Free Electron Energy Bands / 2.4:
Nearly Free Electron Band Structure in a Zinc-Blende Crystal / 2.4.1:
Nearly Free Electron Energy Bands in Diamond Crystals / 2.4.2:
Band Structure Calculation by Pseudopotential Methods / 2.5:
Pseudopotential Form Factors in Zinc-Blende- and Diamond-Type Semiconductors / 2.5.1:
Empirical and Self-Consistent Pseudopotential Methods / 2.5.2:
The kċp Method of Band-Structure Calculations / 2.6:
Effective Mass of a Nondegenerate Band Using the kċp Method / 2.6.1:
Band Dispersion near a Degenerate Extremum: Top Valence Bands in Diamondand Zinc-Blende-Type Semiconductors / 2.6.2:
Tight-Binding or LCAO Approach to the Band Structure of Semiconductors / 2.7:
Molecular Orbitals and Overlap Parameters / 2.7.1:
Band Structure of Group-IV Elements by the Tight-Binding Method / 2.7.2:
Overlap Parameters and Nearest-Neighbor Distances / 2.7.3:
Problems
Vibrational Properties of Semiconductors, and Electron-Phonon Interactions / 3:
Phonon Dispersion Curves of Semiconductors / 3.1:
Models for Calculating Phonon Dispersion Curves of Semiconductors / 3.2:
Force Constant Models / 3.2.1:
Shell Model / 3.2.2:
Bond Models / 3.2.3:
Bond Charge Models / 3.2.4:
Electron-Phonon Interactions / 3.3:
Strain Tensor and Deformation Potentials / 3.3.1:
Electron-Acoustic-Phonon Interaction at Degenerate Bands / 3.3.2:
Piezoelectric Electron-Acoustic-Phonon Interaction / 3.3.3:
Electron-Optical-Phonon Deformation Potential Interactions / 3.3.4:
Frohlich Interaction / 3.3.5:
Interaction Between Electrons and Large-Wavevector Phonons: Intervalley Electron-Phonon Interaction / 3.3.6:
Electronic Properties of Defects / 4:
Classification of Defects / 4.1:
Shallow or Hydrogenic Impurities / 4.2:
Effective Mass Approximation / 4.2.1:
Hydrogenic or Shallow Donors / 4.2.2:
Donors Associated with Anisotropic Conduction Bands / 4.2.3:
Acceptor Levels in Diamond-and Zinc-Blende-Type Semiconductors / 4.2.4:
Deep Centers / 4.3:
Green's Function Method for Calculating Defect Energy Levels / 4.3.1:
An Application of the Green's Function Method: Linear Combination of Atomic Orbitals / 4.3.2:
Another Application of the Green's Function Method: Nitrogen in GaP and Ga AsP Alloys / 4.3.3:
Final Note on Deep Centers / 4.3.4:
Electrical Transport / 5:
Quasi-Classical Approach / 5.1:
Carrier Mobility for a Nondegenerate Electron Gas / 5.2:
Relaxation Time Approximation / 5.2.1:
Nondegenerate Electron Gas in a Parabolic Band / 5.2.2:
Dependence of Scattering and Relaxation Times on Electron Energy / 5.2.3:
Momentum Relaxation Times / 5.2.4:
Temperature Dependence of Mobilities / 5.2.5:
Modulation Doping / 5.3:
High-Field Transport and Hot Carrier Effects / 5.4:
Velocity Saturation / 5.4.1:
Negative Differential Resistance / 5.4.2:
Gunn Effect / 5.4.3:
Magneto-Transport and the Hall Effect / 5.5:
Magneto-Conductivity Tensor / 5.5.1:
Hall Effect / 5.5.2:
Hall Coefficient for Thin Film Samples (van der Pauw Method) / 5.5.3:
Hall Effect for a Distribution of Electron Energies / 5.5.4:
Optical Properties I / 6:
Macroscopic Electrodynamics / 6.1:
Digression: Units for the Frequency of Electromagnetic Waves / 6.1.1:
Experimental Determination of Optical Constants / 6.1.2:
Kramers-Kronig Relations / 6.1.3:
The Dielectric Function / 6.2:
Experimental Results / 6.2.1:
Microscopic Theory of the Dielectric Function / 6.2.2:
Joint Density of States and Van Hove Singularities / 6.2.3:
Van Hove Singularities in ϵi / 6.2.4:
Direct Absorption Edges / 6.2.5:
Indirect Absorption Edges / 6.2.6:
""""Forbidden"""" Direct Absorption Edges / 6.2.7:
Excitons / 6.3:
Exciton Effect at M0 Critical Points / 6.3.1:
Absorption Spectra of Excitons / 6.3.2:
Exciton Effect at M1 Critical Points or Hyperbolic Excitons / 6.3.3:
Exciton Effect at M3 Critical Points / 6.3.4:
Phonon-Polaritons and Lattice Absorption / 6.4:
Phonon-Polaritons / 6.4.1:
Lattice Absorption and Reflection / 6.4.2:
Multiphonon Lattice Absorption / 6.4.3:
Dynamic Effective Ionic Charges in Heteropolar Semiconductors / 6.4.4:
Absorption Associated with Extrinsic Electrons / 6.5:
Free-Carrier Absorption in Doped Semiconductors / 6.5.1:
Absorption by Carriers Bound to Shallow Donors and Acceptors / 6.5.2:
Modulation Spectroscopy / 6.6:
Frequency Modulated Reflectance and Thermoreflectance / 6.6.3:
Piezoreflectance / 6.6.4:
Electroreflectance (Franz-Keldysh Effect) / 6.6.5:
Photoreflectance / 6.6.6:
Reflectance Difference Spectroscopy / 6.6.7:
Optical Properties II / 7:
Emission Spectroscopies / 7.1:
Band-to-Band Transitions / 7.1.1:
Free-to-Bound Transitions / 7.1.2:
Donor-Acceptor Pair Transitions / 7.1.3:
Excitons and Bound Excitons / 7.1.4:
Luminescence Excitation Spectroscopy / 7.1.5:
Light Scattering Spectroscopies / 7.2:
Macroscopic Theory of Inelastic Light Scattering by Phonons / 7.2.1:
Raman Tensor and Selection Rules / 7.2.2:
Experimental Determination of Raman Spectra / 7.2.3:
Microscopic Theory of Raman Scattering / 7.2.4:
A Detour into the World of Feynman Diagrams / 7.2.5:
Brillouin Scattering / 7.2.6:
Experimental Determination of Brillouin Spectra / 7.2.7:
Resonant Raman and Brillouin Scattering / 7.2.8:
Photoelectron Spectroscopy / 8:
Photoemission / 8.1:
Angle-Integrated Photoelectron Spectra of the Valence Bands / 8.1.1:
Angle-Resolved Photoelectron Spectra of the Valence Bands / 8.1.2:
Core Levels / 8.1.3:
Inverse Photoemission
Surface Effects / 8.2:
Surface States and Surface Reconstruction / 8.3.1:
Surface Energy Bands / 8.3.2:
Fermi Level Pinning and Space Charge Layers / 8.3.3:
Effect of Quantum Confinement on Electrons and Phonons in Semiconductors / 9:
Quantum Confinement and Density of States / 9.1:
Quantum Confinement of Electrons and Holes / 9.2:
Semiconductor Materials for Quantum Wells and Superlattices / 9.2.1:
Classification of Multiple Quantum Wells and Superlattices / 9.2.2:
Confinement of Energy Levels of Electrons and Holes / 9.2.3:
Some Experimental Results / 9.2.4:
Phonons in Superlattices / 9.3:
Phonons in Superlattices: Folded Acoustic and Confined Optic Modes / 9.3.1:
Folded Acoustic Modes: Macroscopic Treatment / 9.3.2:
Confined Optical Modes: Macroscopic Treatment / 9.3.3:
Electrostatic Effects in Polar Crystals: Interface Modes / 9.3.4:
Raman Spectra of Phonons in Semiconductor Superlattices / 9.4:
Raman Scattering by Folded Acoustic Phonons / 9.4.1:
Raman Scattering by Confined Optical Phonons / 9.4.2:
Raman Scattering by Interface Modes / 9.4.3:
Macroscopic Models of Electron-LO Phonon (Fröhlich) Interaction in Multiple Quantum Wells / 9.4.4:
Electrical Transport: Resonant Tunneling / 9.5:
Resonant Tunneling Through a Double-Barrier Quantum Well / 9.5.1:
I-V Characteristics of Resonant Tunneling Devices / 9.5.2:
Quantum Hall Effects in Two-Dimensional Electron Gases / 9.6:
Landau Theory of Diamagnetism in a Three-Dimensional Free Electron Gas / 9.6.1:
Magneto-Conductivity of a Two-Dimensional Electron Gas: Filling Factor / 9.6.2:
The Experiment of von Klitzing, Pepper and Dorda / 9.6.3:
Explanation of the Hall Plateaus in the Integral Quantum Hall Effect / 9.6.4:
Concluding Remarks / 9.7:
Appendix: Pioneers of Semiconductor Physics Remember
Ultra-Pure Germanium: From Applied to Basic Research or an Old Semiconductor Offering New Opportunities / Eugene E. Haller
Two Pseudopotential Methods: Empirical and Ab Initio / Marvin L. Cohen
The Early Stages of Band-Structures Physics and Its Struggles for a Place in the Sun / Conyers Herring
Cyclotron Resonance and Structure of Conduction and Valence Band Edges in Silicon and Germanium / Charles Kittel
Optical Properties of Amorphous Semiconductors and Solar Cells / Jan Tauc
Optical Spectroscopy of Shallow Impurity Centers / Elias Burstein
On the Prehistory of Angular Resolved Photoemission / Neville V. Smith
The Discovery and Very Basics of the Quantum Hall Effect / Klaus von Klitzing
The Birth of the Semiconductor Superlattice / Leo Esaki
References
Subject Index
Table of Fundamental Physical Constants (Inside Front Cover)
Table of Units (Inside Back Cover)
Introduction / 1:
A Survey of Semiconductors / 1.1:
Elemental Semiconductors / 1.1.1:
27.

図書

図書
Olaf Burkart
出版情報: Berlin : Springer, c1997  x, 163 p.; 24 cm
シリーズ名: Lecture notes in computer science ; 1354
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Introduction / 1:
Sequential Processes / 1.1:
Model Checking / 1.2:
Equivalence Checking / 1.3:
Organisation of This Book / 1.4:
Background / 2:
Fixpoint Theory / 2.1:
Ordered Sets / 2.2.1:
Fixpoint Theorems / 2.2.2:
Relations and Rewrite Systems / 2.3:
Relations / 2.3.1:
Rewrite Systems / 2.3.2:
Context-Free Languages / 2.4:
Processes and Labelled Transition Graphs / 2.5:
Behavioural Equivalences / 2.5.1:
Normedness and Determinism / 2.5.2:
Context-Free Processes / 2.6:
Syntax and Semantics / 2.6.1:
Normedness / 2.6.2:
Self-bisimulations / 2.6.3:
Pushdown Processes / 3:
Expressiveness / 3.1:
PDPA Laws / 3.4:
Pushdown Normal Form / 3.5:
Parallel Composition / 3.6:
Example / 3.6.1:
Parallel Decomposition and 2-PDNF / 3.7:
Related work / 3.8:
Context-Free Graphs / 3.8.1:
Prefix Transition Graphs / 3.8.2:
Pushdown Transition Graphs / 3.8.3:
Equational graphs / 3.8.4:
MSOL Definable Hypergraphs / 3.8.5:
BPA with the state operator / 3.8.6:
The Modal µ-Calculus / 4:
Syntax / 4.2.1:
Semantics / 4.2.2:
Continuity / 4.2.3:
Alternation Depth / 4.2.4:
Assertion-Based Semantics / 4.3:
A Motivating Example / 4.3.1:
Definition of Assertion-Based Semantics / 4.3.2:
Properties of Assertion-Based Semantics / 4.3.3:
Verifying Behavioural Properties / 4.4:
Hierarchical Equational µ-Formulas / 4.4.1:
The Model Checking Algorithm / 4.4.2:
A Working Example / 4.4.3:
Expressiveness of the modal µ-calculus / 4.5:
The Bisimulation Equivalence Problem / 5:
Separability / 5.3:
Deciding Bisimilarity of Normed BPA / 5.4:
A Bound for Separability / 5.5:
The Algorithm / 5.6:
Bisimulation Bases / 5.6.1:
The Computation of an Initial Base / 5.6.2:
The Branching Algorithm / 5.6.3:
Summary of the Decision Procedure / 5.6.4:
Summary and Perspectives / 6:
Summary of the Main Results / 6.1:
Perspectives / 6.2:
Regularity of Context-Free Processes / 6.2.1:
Index
Introduction / 1:
Sequential Processes / 1.1:
Model Checking / 1.2:
28.

図書

図書
Matthias Pflanz
出版情報: Berlin : Springer, c2002  xii, 126 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2270
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Introduction / 1:
Background and Motivation / 1.1:
Terminology / 1.2:
Embedded Systems / 1.2.1:
Cores / 1.2.2:
System-on-Chip / 1.2.3:
Test and Check / 1.2.4:
Fault-Tolerance Objectives / 1.2.5:
Safety-Critical Embedded Systems / 1.2.6:
Publications / 1.3:
Fault Models and Fault-Behavior of Processor Structures / 2:
Fault Models / 2.1:
Permanent Faults / 2.1.1:
Transient Faults / 2.1.2:
Embedded Processor Architectures / 2.2:
Control and Data Path / 2.2.1:
Processor Types / 2.2.2:
Fault Effects in Processors / 2.2.3:
On-line Check Technology for Processor Components / 3:
State of the Art / 3.1:
Component On-line Check Using Extended Berger Code Prediction / 3.2:
BCP for Integer Data-Paths / 3.2.1:
BCP for Floating-Point Components / 3.2.2:
Results / 3.2.3:
Component On-line Check with Cross-Parity Check / 3.3:
Cross-Parity Observation / 3.3.1:
Cross-Parity Error Detection Capabilities and Limitations / 3.3.3:
On-line Check Technology for Processor Control Signals / 3.3.4:
Control-Signal On-line Check with Pseudo-TMR Controller / 4.1:
Control-Signal On-line Check with State Code Prediction / 4.3:
Straightforward Processor State Encoding and Observation / 4.3.1:
Partitioned State Encoding and Observation / 4.3.3:
Outlook Regarding to Controller On-line Check / 4.3.4:
Fast Processor Recover Techniques with Micro Rollback / 5:
Previous Techniques and State of the Art / 5.1:
Micro Rollback with a Master-Trailer-Structure / 5.2:
Micro Rollback Test Circuit / 5.2.1:
Micro Rollback Technique for Simple Microprocessors / 5.2.2:
Micro Rollback in Pipeline-Processors / 5.2.3:
Recover Techniques for a Pipeline Processor / 5.3.1:
Implementations and Results / 5.3.2:
Conclusion and Outlook / 6:
Appendix - Demonstration Processors
Microprocessor t4008 / A.1:
Microprocessors t5008/16/32x / A.2:
Digital Signal Processors uDSP32a/b / A.3:
Pipeline Processors DLX32/64fpu_p / A.4:
Abbreviations, Symbols and Identifiers
List of Figures
List of Tables
References
Introduction / 1:
Background and Motivation / 1.1:
Terminology / 1.2:
29.

図書

図書
Petra Perner
出版情報: Berlin ; Tokyo : Springer, c2002  x, 131 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2558
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Introduction / 1:
What Is Data Mining? / 1.1:
Some More Real-World Applications / 1.2:
Data Mining Methods - An Overview / 1.3:
Basic Problem Types / 1.3.1:
Prediction / 1.3.2:
Classification / 1.3.2.1:
Regression / 1.3.2.2:
Knowlegde Discovery / 1.3.3:
Deviation Detection / 1.3.3.1:
Cluster Analysis / 1.3.3.2:
Visualization / 1.3.3.3:
Association Rules / 1.3.3.4:
Segmentation / 1.3.3.5:
Data Mining Viewed from the Data Side / 1.4:
Types of Data / 1.5:
Conclusion / 1.6:
Data Preparation / 2:
Data Cleaning / 2.1:
Handling Outlier / 2.2:
Handling Noisy Data / 2.3:
Missing Values Handling / 2.4:
Coding / 2.5:
Recognition of Correlated or Redundant Attributes / 2.6:
Abstraction / 2.7:
Attribute Construction / 2.7.1:
Images / 2.7.2:
Time Series / 2.7.3:
Web Data / 2.7.4:
Conclusions / 2.8:
Methods for Data Mining / 3:
Decision Tree Induction / 3.1:
Basic Principle / 3.1.1:
Terminology of Decision Tree / 3.1.2:
Subtasks and Design Criteria for Decision Tree Induction / 3.1.3:
Attribute Selection Criteria / 3.1.4:
Information Gain Criteria and Gain Ratio / 3.1.4.1:
Gini Function / 3.1.4.2:
Discretization of Attribute Values / 3.1.5:
Binary Discretization / 3.1.5.1:
Multi-interval Discretization / 3.1.5.2:
Discretization of Categorical or Symbolical Attributes / 3.1.5.3:
Pruning / 3.1.6:
Overview / 3.1.7:
Cost-Complexity Pruning / 3.1.8:
Some General Remarks / 3.1.9:
Summary / 3.1.10:
Case-Based Reasoning / 3.2:
Background / 3.2.1:
The Case-Based Reasoning Process / 3.2.2:
CBR Maintenance / 3.2.3:
Knowledge Containers in a CBR System / 3.2.4:
Design Consideration / 3.2.5:
Similarity / 3.2.6:
Formalization of Similarity / 3.2.6.1:
Similarity Measures / 3.2.6.2:
Similarity Measures for Images / 3.2.6.3:
Case Description / 3.2.7:
Organization of Case Base / 3.2.8:
Learning in a CBR System / 3.2.9:
Learning of New Cases and Forgetting of Old Cases / 3.2.9.1:
Learning of Prototypes / 3.2.9.2:
Learning of Higher Order Constructs / 3.2.9.3:
Learning of Similarity / 3.2.9.4:
Clustering / 3.2.10:
General Comments / 3.3.1:
Distance Measures for Metrical Data / 3.3.3:
Using Numerical Distance Measures for Categorical Data / 3.3.4:
Distance Measure for Nominal Data / 3.3.5:
Contrast Rule / 3.3.6:
Agglomerate Clustering Methods / 3.3.7:
Partitioning Clustering / 3.3.8:
Graphs Clustering / 3.3.9:
Similarity Measure for Graphs / 3.3.10:
Hierarchical Clustering of Graphs / 3.3.11:
Conceptual Clustering / 3.3.12:
Concept Hierarchy and Concept Description / 3.4.1:
Category Utility Function / 3.4.3:
Algorithmic Properties / 3.4.4:
Algorithm / 3.4.5:
Conceptual Clustering of Graphs / 3.4.6:
Notion of a Case and Similarity Measure / 3.4.6.1:
Evaluation Function / 3.4.6.2:
Prototype Learning / 3.4.6.3:
An Example of a Learned Concept Hierarchy / 3.4.6.4:
Evaluation of the Model / 3.4.7:
Error Rate, Correctness, and Quality / 3.5.1:
Sensitivity and Specifity / 3.5.2:
Test-and-Train / 3.5.3:
Random Sampling / 3.5.4:
Cross Validation / 3.5.5:
Feature Subset Selection / 3.5.6:
Feature Subset Selection Algorithms / 3.6.1:
The Wrapper and the Filter Model for Feature Subset Selection / 3.6.2.1:
Feature Selection Done by Decision Tree Induction / 3.6.3:
Feature Subset Selection Done by Clustering / 3.6.4:
Contextual Merit Algorithm / 3.6.5:
Floating Search Method / 3.6.6:
Applications / 3.6.7:
Controlling the Parameters of an Algorithm/Model by Case-Based Reasoning / 4.1:
Modelling Concerns / 4.1.1:
Case-Based Reasoning Unit / 4.1.2:
Management of the Case Base / 4.1.3:
Case Structure and Case Base / 4.1.4:
Non-image Information / 4.1.4.1:
Image Information / 4.1.4.2:
Image Similarity Determination / 4.1.5:
Image Similarity Measure 1 (ISim_1) / 4.1.5.1:
Image Similarity Measure 2 (iSIM_2) / 4.1.5.2:
Comparision of ISim_1 and ISim_2 / 4.1.5.3:
Segmentation Algorithm and Segmentation Parameters / 4.1.6:
Similarity Determination / 4.1.7:
Overall Similarity / 4.1.7.1:
Similarity Measure for Non-image Information / 4.1.7.2:
Similarity Measure for Image Information / 4.1.7.3:
Knowledge Acquisition Aspect / 4.1.8:
Mining Images / 4.1.9:
Preparing the Experiment / 4.2.1:
Image Mining Tool / 4.2.3:
The Application / 4.2.4:
Brainstorming and Image Catalogue / 4.2.5:
Interviewing Process / 4.2.6:
Setting Up the Automatic Image Analysis and Feature Extraction Procedure / 4.2.7:
Image Analysis / 4.2.7.1:
Feature Extraction / 4.2.7.2:
Collection of Image Descriptions into the Data Base / 4.2.8:
The Image Mining Experiment / 4.2.9:
Review / 4.2.10:
Using the Discovered Knowledge / 4.2.11:
Lessons Learned
Appendix / 5:
The IRIS Data Set
References
Index
Introduction / 1:
What Is Data Mining? / 1.1:
Some More Real-World Applications / 1.2:
30.

図書

図書
Neil Gershenfeld
出版情報: Cambridge, England : Cambridge University Press, 2000  xiv, 370 p. ; 26 cm
シリーズ名: Cambridge Series on Information and the Natural Sciences
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Preface
Introduction / 1:
Interactions, Units, and Magnitudes / 2:
Units / 2.1:
Particles and Forces / 2.2:
Orders of Magnitude / 2.3:
Selected References / 2.4:
Problems / 2.5:
Noise in Physical Systems / 3:
Random Variables / 3.1:
Expectation Values / 3.1.1:
Spectral Theorems / 3.1.2:
Probability Distributions / 3.2:
Binomial / 3.2.1:
Poisson / 3.2.2:
Gaussian / 3.2.3:
Central Limit Theorem / 3.2.4:
Noise Mechanisms / 3.3:
Shot Noise / 3.3.1:
Johnson Noise / 3.3.2:
l/f Noise and Switching Noise / 3.3.3:
Amplifier Noise / 3.3.4:
Thermodynamics and Noise / 3.4:
Thermodynamics and Statistical Mechanics / 3.4.1:
Equipartition Theorem / 3.4.2:
Fluctuation--Dissipation Theorem / 3.4.3:
Information in Physical Systems / 3.5:
Information / 4.1:
Channel Capacity / 4.2:
The Gaussian Channel / 4.3:
Fisher Information / 4.4:
Information and Thermodynamics / 4.5:
Electromagnetic Fields and Waves / 4.6:
Vector Calculus / 5.1:
Vectors / 5.1.1:
Differential Operators / 5.1.2:
Integral Relationships / 5.1.3:
Statics / 5.2:
Electrostatics / 5.2.1:
Magnetostatics / 5.2.2:
Multipoles / 5.2.3:
Dynamics / 5.3:
Maxwell's Equations / 5.3.1:
Boundary Conditions / 5.3.2:
Electromagnetic Units / 5.3.3:
Radiation and Energy / 5.4:
Waves / 5.4.1:
Electromagnetic Energy / 5.4.2:
Circuits, Transmission Lines, and Waveguides / 5.5:
Circuits / 6.1:
Current and Voltage / 6.1.1:
Kirchhoff's Laws / 6.1.2:
Resistance / 6.1.3:
Power / 6.1.4:
Capacitance / 6.1.5:
Inductance / 6.1.6:
Wires and Transmission Lines / 6.2:
Skin Depth / 6.2.1:
Transmission Lines / 6.2.2:
Wave Solutions / 6.2.3:
Reflections and Terminations / 6.2.4:
Waveguides / 6.3:
Governing Equations / 6.3.1:
Rectangular Waveguides / 6.3.2:
Circular Waveguides / 6.3.3:
Dielectric Waveguides and Fiber Optics / 6.3.4:
Antennas / 6.4:
Time-Dependent Potentials / 7.1:
Dipole Radiation / 7.2:
Infinitesimal Length / 7.2.1:
Finite Length / 7.2.2:
Duality and Reciprocity / 7.3:
Antenna Types / 7.4:
Optics / 7.5:
Reflection and Refraction / 8.1:
Geometrical Optics / 8.2:
Ray Matrices / 8.2.1:
Optical Transforms / 8.2.2:
Beyond Geometrical Optics / 8.3:
Lensless Imaging and Inverse Problems / 8.4:
Matched Filters and Synthetic Lenses / 9.1:
Coherent Imaging / 9.2:
Computed Tomography / 9.3:
Magnetic Resonance Imaging / 9.4:
Inverse Problems / 9.5:
Semiconductor Materials and Devices / 9.6:
Quantum Statistical Mechanics / 10.1:
Electronic Structure / 10.2:
Junctions, Diodes, and Transistors / 10.3:
Logic / 10.4:
Limits / 10.5:
Generating, Detecting, and Modulating Light / 10.6:
Generation / 11.1:
Incandescence / 11.1.1:
Luminescence: LEDs, Lasers, and Flat Panels / 11.1.2:
Detection / 11.2:
Modulation / 11.3:
Polarization / 11.3.1:
Liquid Crystals / 11.3.2:
Smoke and Mirrors / 11.3.3:
Magnetic Storage / 11.4:
Magnetism / 12.1:
Diamagnetism / 12.1.1:
Paramagnetism / 12.1.2:
Ferro-, Antiferro-, and Ferri-magnetism / 12.1.3:
Magnetic Recording / 12.2:
Magnetic Media / 12.2.1:
Recording Systems / 12.2.2:
Measurement and Coding / 12.3:
Instrumentation / 13.1:
Amplifiers / 13.1.1:
Grounding, Shielding, and Leads / 13.1.2:
Bridges / 13.1.3:
Modulation and Detection / 13.2:
Synchronous Detection / 13.2.1:
Phase Detection and Encoding / 13.2.2:
Spread Spectrum / 13.2.3:
Digitization / 13.2.4:
Coding / 13.3:
Compression / 13.3.1:
Error Correction / 13.3.2:
Channel Coding / 13.3.3:
Cryptography / 13.3.4:
Transducers / 13.4:
Many-Body Effects / 14.1:
Superconductivity / 14.1.1:
SQUIDs / 14.1.2:
Non-Equilibrium Thermodynamics / 14.2:
Thermoelectricity / 14.2.1:
Piezoelectricity / 14.2.2:
Relativity / 14.3:
Clocks / 14.3.1:
Time / 14.3.2:
Position / 14.3.3:
Quantum Computing and Communications / 14.4:
Quantum Mechanics / 15.1:
States and Operators / 15.1.1:
Angular Momentum / 15.1.2:
Density Matrices / 15.1.3:
Communications / 15.2:
Teleportation / 15.3.1:
Computation / 15.3.4:
Searching / 15.4.1:
Transforms and Factoring / 15.4.2:
Simulation / 15.4.3:
Experimental Implementation / 15.4.4:
Problem Solutions / 15.5:
Circuits, Transmission Lines, and Wave Guides / A1.1:
Generating, Modulating, and Detecting Light / A1.7:
Quantum Computing and Communication / A1.12:
Bibliography
Index
Preface
Introduction / 1:
Interactions, Units, and Magnitudes / 2:
31.

図書

図書
Alfredo H-S. Ang, Wilson H. Tang
出版情報: New York : Wiley, 1975  xiii, 409 p. ; 24 cm
シリーズ名: Probability concepts in engineering planning and design ; v. 1
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Role of Probability in Engineering / 1:
Introduction / 1.1:
Uncertainty in Real-World Information / 1.2:
Uncertainty Associated with Randomness / 1.2.1:
Uncertainty Associated with Imperfect Modeling and Estimation / 1.2.2:
Design and Decision-Making Under Uncertainty / 1.3:
Planning and Design of Airport Pavement / 1.3.1:
Hydrologic Design / 1.3.2:
Design of Structures and Machines / 1.3.3:
Geotechnical Design / 1.3.4:
Construction Planning and Management / 1.3.5:
Photogrammetric, Geodetic, and Surveying Measurements / 1.3.6:
Control and Standards / 1.4:
Concluding Remarks / 1.5:
Basic Probability Concepts / 2:
Events and Probability / 2.1:
Characteristics of Probability Problems / 2.1.1:
Calculation of Probability / 2.1.2:
Elements of Set Theory / 2.2:
Definitions / 2.2.1:
Combination of Events / 2.2.2:
Operational Rules / 2.2.3:
Mathematics of Probability / 2.3:
Basic Axioms of Probability Addition Rule / 2.3.1:
Conditional Probability Multiplication Rule / 2.3.2:
Theorem of Total Probability / 2.3.3:
Bayes' Theorem / 2.3.4:
Concluding Remarks Problems / 2.4:
Analytical Models of Random Phenomena / 3:
Random Variables / 3.1:
Probability Distribution of a Random Variable / 3.1.1:
Main Descriptors of a Random Variable / 3.1.2:
Useful Probability Distributions / 3.2:
The Normal Distribution / 3.2.1:
The Logarithmic Normal Distribution / 3.2.2:
Bernoulli Sequence and the Binomial Distribution / 3.2.3:
The Geometric Distribution / 3.2.4:
The Negative Binomial Distribution / 3.2.5:
The Poisson Process and Poisson Distribution / 3.2.6:
The Exponential Distribution / 3.2.7:
The Gamma Distribution / 3.2.8:
The Hypergeometric Distribution / 3.2.9:
The Beta Distribution / 3.2.10:
Other Distributions / 3.2.11:
Multiple Random Variables / 3.3:
Joint and Conditional Probability Distributions / 3.3.1:
Covariance and Correlation / 3.3.2:
Conditional Mean and Variance / 3.3.3:
Functions of Random Variables / 3.4:
Derived Probability Distributions / 4.1:
Function of Single Random Variable / 4.2.1:
Function of Multiple Random Variables / 4.2.2:
Moments of Functions of Random Variables / 4.3:
Mean and Variance of a Linear Function / 4.3.1:
Product of Independent Variates / 4.3.3:
Mean and Variance of a General Function / 4.3.4:
Estimating Parameters from Observational Data / 4.4:
The Role of Statistical Inference in Engineering / 5.1:
Inherent Variability and Estimation Error / 5.1.1:
Classical Approach to Estimation of Parameters / 5.2:
Random Sampling and Point Estimation / 5.2.1:
Interval Estimation of the Mean / 5.2.2:
Problems of Measurement Theory / 5.2.3:
Interval Estimation of the Variance / 5.2.4:
Estimation of Proportion / 5.2.5:
Empirical Determination of Distribution Models / 5.3:
Probability Paper / 6.1:
The Normal Probability Paper / 6.2.1:
The Log-Normal Probability Paper / 6.2.2:
Construction of General Probability Paper / 6.2.3:
Testing Validity of Assumed Distribution / 6.3:
Chi-Square Test for Distribution / 6.3.1:
Kolmogorov-Smirnov Test for Distribution / 6.3.2:
Regression and Correlation Analyses / 6.4:
Basic Formulation of Linear Regression / 7.1:
Regression with Constant Variance / 7.1.1:
Regression with Nonconstant Variance / 7.1.2:
Multiple Linear Regression / 7.2:
Nonlinear Regression / 7.3:
Applications of Regression Analysis in Engineering / 7.4:
Correlation Analysis / 7.5:
Estimation of Correlation Coefficient / 7.5.1:
The Bayesian Approach / 7.6:
Basic Concepts-The Discrete Case / 8.1:
The Continuous Case / 8.3:
General Formulation / 8.3.1:
A Special Application of Bayesian Up-dating Process / 8.3.2:
Bayesian Concepts in Sampling Theory / 8.4:
Sampling from Normal Population / 8.4.1:
Error in Estimation / 8.4.3:
Use of Conjugate Distributions / 8.4.4:
Elements of Quality Assurance and Acceptance Sampling / 8.5:
Acceptance Sampling by Attributes / 9.1:
The Operating Characteristic (OC) Curve / 9.1.1:
The Success Run / 9.1.2:
The Average Outgoing Quality Curve / 9.1.3:
Acceptance Sampling by Variables / 9.2:
Average Quality Criterion, sigma Known / 9.2.1:
Average Quality Criterion, sigma Unknown / 9.2.2:
Fraction Defective Criterion / 9.2.3:
Multiple-Stage Sampling / 9.3:
Probability Tables / 9.4:
Table of Standard Normal Probability / Table A.1:
p-Percentile Values of the t-Distribution / Table A.2:
p-Percentile Values of the x 2 -Distribution / Table A.3:
Critical Values of D alpha; in the Kolmogorov-Smirnov Test / Table A.4:
Combinatorial Formulas / Appendix B:
Derivation of the Poisson Distribution / Appendix C:
References
Index
Role of Probability in Engineering / 1:
Introduction / 1.1:
Uncertainty in Real-World Information / 1.2:
32.

図書

図書
Thomas Reinartz
出版情報: Berlin ; Tokyo : Springer, c1999  xiv, 307 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1623 . Lecture notes in artificial intelligence
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Introduction / 1:
Knowledge Discovery in Databases and Data Mining / 1.1:
Focusing for Data Mining / 1.2:
Overview / 1.3:
Knowledge Discovery in Databases / 2:
Knowledge Discovery Process / 2.1:
Humans in the Loop / 2.1.1:
KDD Project Phases / 2.1.2:
Data Preparation / 2.2:
From Business Data to Data Mining Input / 2.2.1:
Data Selection and Focusing / 2.2.2:
Data Mining Goals / 2.3:
From Understanding to Predictive Modeling / 2.3.1:
Classification / 2.3.2:
Data Characteristics: Notations and Definitions / 2.4:
Database Tables / 2.4.1:
Statistical Values / 2.4.2:
Data Mining Algorithms / 2.5:
Classification Algorithms / 2.5.1:
Top Down Induction of Decision Trees / 2.5.2:
Nearest Neighbor Classifiers / 2.5.3:
Selecting the Focusing Context / 2.6:
Focusing Tasks / 3:
Focusing Concepts: An Overview / 3.1:
Focusing Specification / 3.2:
Focusing Input / 3.2.1:
Focusing Output / 3.2.2:
Focusing Criterion / 3.2.3:
Focusing Context / 3.3:
Data Characteristics / 3.3.1:
Focusing Success / 3.3.2:
Filter Evaluation / 3.4.1:
Wrapper Evaluation / 3.4.2:
Evaluation Criteria / 3.4.3:
Selecting the Focusing Task / 3.5:
Focusing Solutions / 4:
State of the Art: A Unifying View / 4.1:
The Unifying Framework of Existing Focusing Solutions / 4.1.1:
Sampling / 4.1.2:
Clustering / 4.1.3:
Prototyping / 4.1.4:
More Intelligent Sampling Techniques / 4.2:
Existing Reusable Components / 4.2.1:
Advanced Leader Sampling / 4.2.2:
Similarity-Driven Sampling / 4.2.3:
A Unified Approach to Focusing Solutions / 4.3:
Generic Sampling / 4.3.1:
Generic Sampling in a Commercial Data Mining System / 4.3.2:
Analytical Studies / 5:
An Average Case Analysis / 5.1:
Experimental Validation of Theoretical Claims / 5.2:
Experimental Results / 6:
Experimental Design / 6.1:
Experimental Procedure / 6.1.1:
Results and Evaluation / 6.1.2:
Wrapper Evaluation for C4.5 / 6.2.1:
Wrapper Evaluation for IB / 6.2.3:
Comparing Filter and Wrapper Evaluation for C4.5 / 6.2.4:
Comparing Filter and Wrapper Evaluation for IB / 6.2.5:
Comparing Wrapper Evaluation for C4.5 and IB / 6.2.6:
Focusing Advice / 6.3:
Sorting, Stratification, and Prototype Weighting / 6.3.1:
Focusing Solutions in Focusing Contexts / 6.3.2:
Conclusions / 7:
Summary and Contributions / 7.1:
More Related Work / 7.2:
Future Work / 7.3:
Closing Remarks / 7.4:
Bibliography
Acknowledgments
Notations / A:
Indices, Variables, and Functions / A.1:
Algorithms and Procedures / A.2:
More Evaluation Criteria / B:
Filter Evaluation Criteria / B.1:
Wrapper Evaluation Criteria / B.2:
Remaining Proofs / C:
Generic Sampling in GenSam / D:
More Experimental Results / E:
Index
Curriculum Vitae
Introduction / 1:
Knowledge Discovery in Databases and Data Mining / 1.1:
Focusing for Data Mining / 1.2:
33.

図書

図書
Andrew S. Tanenbaum
出版情報: Englewood Cliffs ; London : Prentice-Hall, 1984  xiii, 465 p. ; 24 cm
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Preface
Introduction / 1:
Computer Systems Organization / 1.1:
Structured Computer Organization
The Digital Logic Level / 3:
Languages, Levels, and Virtual Machines / 4:
The Microarchitecture Level
The Instruction Set Architecture Level / 1.1.2:
Contemporary Multilevel Machines
The Operating System Machine Level / 6:
Evolution of Multilevel Machines / 7:
The Assembly Language Level
Parallel Computer Architectures / 1.2:
Milestones in Computer Architecture
Reading List and Bibliography / 9:
The Zeroth Generation-Mechanical Computers (1642-1945) / Appendix A:
Binary Numbers
Floating-Point Numbers / 1.2.2:
The First Generation-Vacuum Tubes (1945-1955)
The Second Generation-Transistors (1955-1965) / 1.2.3:
The Third Generation-Integrated Circuits (1965-1980) / 1.2.4:
The Fourth Generation-Very Large Scale Integration (1980-?) / 1.2.5:
The Fifth Generation-Invisible Computers / 1.2.6:
The Computer Zoo / 1.3:
Technological and Economic Forces / 1.3.1:
The Computer Spectrum / 1.3.2:
Disposable Computers / 1.3.3:
Microcontrollers / 1.3.4:
Game Computers / 1.3.5:
Personal Computers / 1.3.6:
Servers / 1.3.7:
Collections of Workstations / 1.3.8:
Mainframes / 1.3.9:
Example Computer Families / 1.4:
Introduction to the Pentium 4 / 1.4.1:
Introduction to the UltraSPARC III / 1.4.2:
Introduction to the 8051 / 1.4.3:
Metric Units / 1.5:
Outline of This Book / 1.6:
Processors / 2.1:
CPU Organization / 2.1.1:
Instruction Execution / 2.1.2:
RISC versus CISC / 2.1.3:
Design Principles for Modern Computers / 2.1.4:
Instruction-Level Parallelism / 2.1.5:
Processor-Level Parallelism / 2.1.6:
Primary Memory / 2.2:
Bits / 2.2.1:
Memory Addresses / 2.2.2:
Byte Ordering / 2.2.3:
Error-Correcting Codes / 2.2.4:
Cache Memory / 2.2.5:
Memory Packaging and Types / 2.2.6:
Secondary Memory / 2.3:
Memory Hierarchies / 2.3.1:
Magnetic Disks / 2.3.2:
Floppy Disks / 2.3.3:
IDE Disks / 2.3.4:
SCSI Disks / 2.3.5:
RAID / 2.3.6:
CD-ROMs / 2.3.7:
CD-Recordables / 2.3.8:
CD-Rewritables / 2.3.9:
DVD / 2.3.10:
Blu-Ray / 2.3.11:
Input/Output / 2.4:
Buses / 2.4.1:
Terminals / 2.4.2:
Mice / 2.4.3:
Printers / 2.4.4:
Telecommunications Equipment / 2.4.5:
Digital Cameras / 2.4.6:
Character Codes / 2.4.7:
Summary / 2.5:
Gates and Boolean Algebra / 3.1:
Gates / 3.1.1:
Boolean Algebra / 3.1.2:
Implementation of Boolean Functions / 3.1.3:
Circuit Equivalence / 3.1.4:
Basic Digital Logic Circuits / 3.2:
Integrated Circuits / 3.2.1:
Combinational Circuits / 3.2.2:
Arithmetic Circuits / 3.2.3:
Clocks / 3.2.4:
Memory / 3.3:
Latches / 3.3.1:
Flip-Flops / 3.3.2:
Registers / 3.3.3:
Memory Organization / 3.3.4:
Memory Chips / 3.3.5:
RAMs and ROMs / 3.3.6:
CPU Chips and Buses / 3.4:
CPU Chips / 3.4.1:
Computer Buses / 3.4.2:
Bus Width / 3.4.3:
Bus Clocking / 3.4.4:
Bus Arbitration / 3.4.5:
Bus Operations / 3.4.6:
Example CPU Chips / 3.5:
The Pentium 4 / 3.5.1:
The UltraSPARC III / 3.5.2:
The 8051 / 3.5.3:
Example Buses / 3.6:
The ISA Bus / 3.6.1:
The PCI Bus / 3.6.2:
PCI Express / 3.6.3:
The Universal Serial Bus / 3.6.4:
Interfacing / 3.7:
I/O Chips / 3.7.1:
Address Decoding / 3.7.2:
An Example Microarchitecture / 3.8:
The Data Path / 4.1.1:
Microinstructions / 4.1.2:
Microinstruction Control: The Mic-1 / 4.1.3:
An Example Isa: IJVM / 4.2:
Stacks / 4.2.1:
The IJVM Memory Model / 4.2.2:
The IJVM Instruction Set / 4.2.3:
Compiling Java to IJVM / 4.2.4:
An Example Implementation / 4.3:
Microinstructions and Notation / 4.3.1:
Implementation of IJVM Using the Mic-1 / 4.3.2:
Design of the Microarchitecture Level / 4.4:
Speed versus Cost / 4.4.1:
Reducing the Execution Path Length / 4.4.2:
A Design with Prefetching: The Mic-2 / 4.4.3:
A Pipelined Design: The Mic-3 / 4.4.4:
A Seven-Stage Pipeline: The Mic-4 / 4.4.5:
Improving Performance / 4.5:
Branch Prediction / 4.5.1:
Out-of-Order Execution and Register Renaming / 4.5.3:
Speculative Execution / 4.5.4:
Examples of the Microarchitecture Level / 4.6:
The Microarchitecture of the Pentium 4 CPU / 4.6.1:
The Microarchitecture of the UltraSPARC-III Cu CPU / 4.6.2:
The Microarchitecture of the 8051 CPU / 4.6.3:
Comparison of the Pentium, Ultrasparc, and 8051 / 4.7:
Overview of the ISA Level / 4.8:
Properties of the ISA Level / 5.1.1:
Memory Models / 5.1.2:
Instructions / 5.1.3:
Overview of the Pentium 4 ISA Level / 5.1.5:
Overview of the UltraSPARC III ISA Level / 5.1.6:
Overview of the 8051 ISA Level / 5.1.7:
Data Types / 5.2:
Numeric Data Types / 5.2.1:
Nonnumeric Data Types / 5.2.2:
Data Types on the Pentium 4 / 5.2.3:
Data Types on the UltraSPARC III / 5.2.4:
Data Types on the 8051 / 5.2.5:
Instruction Formats / 5.3:
Design Criteria for Instruction Formats / 5.3.1:
Expanding Opcodes / 5.3.2:
The Pentium 4 Instruction Formats / 5.3.3:
The UltraSPARC III Instruction Formats / 5.3.4:
The 8051 Instruction Formats / 5.3.5:
Addressing / 5.4:
Addressing Modes / 5.4.1:
Immediate Addressing / 5.4.2:
Direct Addressing / 5.4.3:
Register Addressing / 5.4.4:
Register Indirect Addressing / 5.4.5:
Indexed Addressing / 5.4.6:
Based-Indexed Addressing / 5.4.7:
Stack Addressing / 5.4.8:
Addressing Modes for Branch Instructions / 5.4.9:
Orthogonality of Opcodes and Addressing Modes / 5.4.10:
The Pentium 4 Addressing Modes / 5.4.11:
The UltraSPARC III Addressing Modes / 5.4.12:
The 8051 Addressing Modes / 5.4.13:
Discussion of Addressing Modes / 5.4.14:
Instruction Types / 5.5:
Data Movement Instructions / 5.5.1:
Dyadic Operations / 5.5.2:
Monadic Operations / 5.5.3:
Comparisons and Conditional Branches / 5.5.4:
Procedure Call Instructions / 5.5.5:
Loop Control / 5.5.6:
The Pentium 4 Instructions / 5.5.7:
The UltraSPARC III Instructions / 5.5.9:
The 8051 Instructions / 5.5.10:
Comparison of Instruction Sets / 5.5.11:
Flow of Control / 5.6:
Sequential Flow of Control and Branches / 5.6.1:
Procedures / 5.6.2:
Coroutines / 5.6.3:
Traps / 5.6.5:
Interrupts
A Detailed Example: The Towers of Hanoi / 5.7:
The Towers of Hanoi in Pentium 4 Assembly Language / 5.7.1:
The Towers of Hanoi in UltraSPARC III Assembly Language / 5.7.2:
The IA-64 Architecture and the Itanium 2 / 5.8:
The Problem with the Pentium 4 / 5.8.1:
The IA-64 Model: Explicitly Parallel Instruction Computing / 5.8.2:
Reducing Memory References / 5.8.3:
Instruction Scheduling / 5.8.4:
Reducing Conditional Branches: Predication / 5.8.5:
Speculative Loads / 5.8.6:
Virtual Memory / 5.9:
Paging / 6.1.1:
Implementation of Paging / 6.1.2:
Demand Paging and the Working Set Model / 6.1.3:
Page Replacement Policy / 6.1.4:
Page Size and Fragmentation / 6.1.5:
Segmentation / 6.1.6:
Implementation of Segmentation / 6.1.7:
Virtual Memory on the Pentium 4 / 6.1.8:
Virtual Memory on the UltraSPARC III / 6.1.9:
Virtual Memory and Caching / 6.1.10:
Virtual I/O Instructions / 6.2:
Files / 6.2.1:
Implementation of Virtual I/O Instructions / 6.2.2:
Directory Management Instructions / 6.2.3:
Virtual Instructions for Parallel Processing / 6.3:
Process Creation / 6.3.1:
Race Conditions / 6.3.2:
Process Synchronization Using Semaphores / 6.3.3:
Example Operating Systems / 6.4:
Examples of Virtual Memory / 6.4.1:
Examples of Virtual I/O / 6.4.3:
Examples of Process Management / 6.4.4:
Introduction to Assembly Language / 6.5:
What Is an Assembly Language? / 7.1.1:
Why Use Assembly Language? / 7.1.2:
Format of an Assembly Language Statement / 7.1.3:
Pseudoinstructions / 7.1.4:
Macros / 7.2:
Macro Definition, Call, and Expansion / 7.2.1:
Macros with Parameters / 7.2.2:
Advanced Features / 7.2.3:
Implementation of a Macro Facility in an Assembler / 7.2.4:
The Assembly Process / 7.3:
Two-Pass Assemblers / 7.3.1:
Pass One / 7.3.2:
Pass Two / 7.3.3:
The Symbol Table / 7.3.4:
Linking and Loading / 7.4:
Tasks Performed by the Linker / 7.4.1:
Structure of an Object Module / 7.4.2:
Binding Time and Dynamic Relocation / 7.4.3:
Dynamic Linking / 7.4.4:
On-Chip Paralellism / 7.5:
On-Chip Multithreading / 8.1.1:
Single-Chip Multiprocessors / 8.1.3:
Coprocessors / 8.2:
Network Processors / 8.2.1:
Media Processors / 8.2.2:
Cryptoprocessors / 8.2.3:
Shared-Memory Multiprocessors / 8.3:
Multiprocessors vs. Multicomputers / 8.3.1:
Memory Semantics / 8.3.2:
UMA Symmetric Multiprocessor Architectures / 8.3.3:
NUMA Multiprocessors / 8.3.4:
COMA Multiprocessors / 8.3.5:
Message-Passing Multicomputers / 8.4:
Interconnection Networks / 8.4.1:
MPPs-Massively Parallel Processors / 8.4.2:
Cluster Computing / 8.4.3:
Communication Software for Multicomputers / 8.4.4:
Scheduling / 8.4.5:
Application-Level Shared Memory / 8.4.6:
Performance / 8.4.7:
Grid Computing / 8.5:
Suggestions for Further Reading / 8.6:
Introduction and General Works / 9.1.1:
Binary and Floating-Point Numbers / 9.1.2:
Assembly Language Programming / 9.1.10:
Alphabetical Bibliography / 9.2:
Finte-Precision Numbers / A:
Radix Number Systems / A.2:
Conversion From One Radix to Another / A.3:
Negative Binary Numbers / A.4:
Binary Arithmetic / A.5:
Principles of Floating Point / B:
IEEE Floating-Point Standard 754 / B.2:
Overview / C:
Assembly Language / C.1.1:
A Small Assembly Language Program / C.1.2:
The 8088 Processor / C.2:
The Processor Cycle / C.2.1:
The General Registers / C.2.2:
Pointer Registers / C.2.3:
Memory and Addressing / C.3:
Memory Organization and Segments / C.3.1:
The 8088 Instruction Set / C.3.2:
Move, Copy and Arithmetic / C.4.1:
Logical, Bit and Shift Operations / C.4.2:
Loop and Repetitive String Operations / C.4.3:
Jump and Call Instructions / C.4.4:
Subroutine Calls / C.4.5:
System Calls and System Subroutines / C.4.6:
Final Remarks on the Instruction Set / C.4.7:
The Assembler / C.5:
The ACK-Based Tutorial Assembler as88 / C.5.1:
Some Differences with Other 8088 Assemblers / C.5.3:
The Tracer / C.6:
Tracer Commands / C.6.1:
Getting Started / C.7:
Examples / C.8:
Hello World Example / C.8.1:
General Registers Example / C.8.2:
Call Command and Pointer Registers / C.8.3:
Debugging an Array Print Program / C.8.4:
Preface
Introduction / 1:
Computer Systems Organization / 1.1:
34.

図書

図書
Sven Behnke
出版情報: Berlin ; Tokyo : Springer, c2003  xii, 224 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2766
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Foreword
Preface
Introduction / 1:
Motivation / 1.1:
Importance of Visual Perception / 1.1.1:
Performance of the Human Visual System / 1.1.2:
Limitations of Current Computer Vision Systems / 1.1.3:
Iterative Interpretation - Local Interactions in a Hierarchy / 1.1.4:
Organization of the Thesis / 1.2:
Contributions / 1.3:
Theory / Part I:
Neurobiological Background / 2:
Visual Pathways / 2.1:
Feature Maps / 2.2:
Layers / 2.3:
Neurons / 2.4:
Synapses / 2.5:
Discussion / 2.6:
Conclusions / 2.7:
Related Work / 3:
Hierarchical Image Models / 3.1:
Generic Signal Decompositions / 3.1.1:
Neural Networks / 3.1.2:
Generative Statistical Models / 3.1.3:
Recurrent Models / 3.2:
Models with Lateral Interactions / 3.2.1:
Models with Vertical Feedback / 3.2.2:
Models with Lateral and Vertical Feedback / 3.2.3:
Neural Abstraction Pyramid Architecture / 3.3:
Overview / 4.1:
Hierarchical Network Structure / 4.1.1:
Distributed Representations / 4.1.2:
Local Recurrent Connectivity / 4.1.3:
Iterative Refinement / 4.1.4:
Formal Description / 4.2:
Simple Processing Elements / 4.2.1:
Shared Weights / 4.2.2:
Discrete-Time Computation / 4.2.3:
Various Transfer Functions / 4.2.4:
Example Networks / 4.3:
Local Contrast Normalization / 4.3.1:
Binarization of Handwriting / 4.3.2:
Activity-Driven Update / 4.3.3:
Invariant Feature Extraction / 4.3.4:
Unsupervised Learning / 4.4:
Learning a Hierarchy of Sparse Features / 5.1:
Network Architecture / 5.2.1:
Initialization / 5.2.2:
Hebbian Weight Update / 5.2.3:
Competition / 5.2.4:
Learning Hierarchical Digit Features / 5.3:
Digit Classification / 5.4:
Supervised Learning / 5.5:
Nearest Neighbor Classifier / 6.1:
Decision Trees / 6.1.2:
Bayesian Classifier / 6.1.3:
SupportVectorMachines / 6.1.4:
Bias/Variance Dilemma / 6.1.5:
Feed-Forward Neural Networks / 6.2:
Error Backpropagation / 6.2.1:
Improvements to Backpropagation / 6.2.2:
Regularization / 6.2.3:
Recurrent Neural Networks / 6.3:
Backpropagation through Time / 6.3.1:
Real-Time Recurrent Learning / 6.3.2:
Difficulty of Learning Long-Term Dependencies / 6.3.3:
Random Recurrent Networks with Fading Memories / 6.3.4:
Robust Gradient Descent / 6.3.5:
Applications / 6.4:
Recognition of Meter Values / 7:
Introduction to Meter Value Recognition / 7.1:
Swedish Post Database / 7.2:
Preprocessing / 7.3:
Filtering / 7.3.1:
Normalization / 7.3.2:
Block Classification / 7.4:
NetworkArchitectureandTraining / 7.4.1:
Experimental Results / 7.4.2:
Digit Recognition / 7.5:
Digit Preprocessing / 7.5.1:
Combination with Block Recognition / 7.5.2:
Binarization of Matrix Codes / 7.6:
Introduction to Two-Dimensional Codes / 8.1:
Canada Post Database / 8.2:
Adaptive Threshold Binarization / 8.3:
Image Degradation / 8.4:
Learning Binarization / 8.5:
Learning Iterative Image Reconstruction / 8.6:
Introduction to Image Reconstruction / 9.1:
Super-resolution / 9.2:
NIST Digits Dataset / 9.2.1:
Architecture for Super-resolution / 9.2.2:
Filling-in Occlusions / 9.2.3:
MNIST Dataset / 9.3.1:
Architecture for Filling-in of Occlusions / 9.3.2:
Noise Removal and Contrast Enhancement / 9.3.3:
Reconstruction from a Sequence of Degraded Digits / 9.4.1:
Face Localization / 9.5.1:
Introduction to Face Localization / 10.1:
Face Database and Preprocessing / 10.2:
conclusions / 10.3:
Summary and Conclusions / 11:
Short Summary of Contributions / 11.1:
Future Work / 11.2:
implementation Options / 11.3.1:
Using More Complex Processing Elements / 11.3.2:
Integration into Complete Systems / 11.3.3:
References
Index
Foreword
Preface
Introduction / 1:
35.

図書

図書
Frédéric Geurts
出版情報: Berlin : Springer, c1998  xiv, 280 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1426
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Foreword / Michel Sintzoff
Preface
Prologue: Aims, Themes, and Motivations / 1:
Complex Relational Dynamical Systems / 1.1:
The Context: A First Contact with Dynamical Systems / 1.1.1:
Mutual Exclusion / 1.1.2:
Social Pressure / 1.1.3:
On the Chaotic Demography of Rabbits / 1.1.4:
Tools and Motivations / 1.2:
Overview of the Monograph / 1.3:
Mathematical Framework: Iterated Relations and Composition / Part I:
Dynamics of Relations / 2:
Functional Discrete-Time Dynamical Systems / 2.1:
Relational Dynamical Systems / 2.2:
Point-Level Nondeterministic Dynamics / 2.2.1:
Set-Level Deterministic Dynamics / 2.2.2:
Comparison / 2.2.3:
Preliminary Definitions and Properties / 2.3:
Basic Definitions About Relations / 2.3.1:
Notions from Topology / 2.3.2:
Monotonicity and General Junctivity Properties / 2.3.3:
Fixpoint Theorems / 2.3.4:
Elementary Properties / 2.3.5:
Metric Properties / 2.3.6:
Transfinite Iterations / 2.4:
Motivation / 2.4.1:
Transfinite Fixpoint Theorem / 2.4.2:
Transfinite Limits of Iterations / 2.4.3:
Discussion / 2.5:
Relations vs Functions / 2.5.1:
Set-Level Dynamics and Predicate-Transformers / 2.5.2:
Point-Level Dynamics and Trace Semantics / 2.5.3:
Nondeterminism and Probabilistic Choices / 2.5.4:
Time Structure / 2.5.5:
Dynamics of Composed Relations / 3:
Structural Composition / 3.1:
Composition of Relations / 3.2:
Unary Operators / 3.2.1:
N-Ary Operators / 3.2.2:
Composed Dynamical Systems / 3.2.3:
One-Step Set-Level Evolution of Composed Relations / 3.3:
Point-Level Dynamics of Composed Systems / 3.3.2:
Algebraic Properties of Composition Operators / 3.4:
Composition of Unary Operators / 3.4.1:
Composition of Unary and N-Ary Operators / 3.4.2:
Composition of N-Ary Operators / 3.4.3:
Fixpoint Theory for the Composition / 3.4.4:
Composition Operators / 3.5:
Nondeterminism and Probabilities Revisited / 3.5.2:
Fixpoint Operator and Composition / 3.5.3:
Abstract Complexity: Abstraction, Invariance, Attraction / Part II:
Abstract Observation of Dynamics / 4:
Observation of Systems / 4.1:
Trace-Based Dynamics / 4.2:
Symbolic Observation / 4.3:
Abstraction of Systems / 4.4:
Qualitative Abstract Verification / 4.5:
Observation as Abstraction / 4.6:
Observation and Abstraction: Related Work / 4.7:
Symbolic Dynamics vs Astract Observation / 4.7.2:
Invariance, Attraction, Complexity / 4.7.3:
Invariance / 5.1:
Forward and Backward Invariance / 5.1.1:
Global Invariance / 5.1.2:
Strong Invariance / 5.1.3:
Structure of Invariants / 5.2:
Trace-Parametrized Invariants / 5.2.1:
Fullness and Atomicity / 5.2.2:
Chaos / 5.2.3:
Fullness Implies Trace Chaos / 5.2.4:
Fullness and Atomicity Imply Knudsen Chaos / 5.2.5:
Devaney vs Trace vs Knudsen Chaos / 5.2.6:
Fullness and Atomicity Criteria / 5.3:
Criteria / 5.3.1:
Case Studies: Dyadic Map, Cantor Relation, Logistic Map / 5.3.2:
Attraction / 5.4:
Intuition: From Reachability to Attraction / 5.4.1:
From Weak to Full Attraction / 5.4.2:
A Taxonomy of Attraction / 5.4.3:
Attraction Criteria / 5.5:
Attraction by Invariants / 5.6:
Invariance and Attraction: Related Notions / 5.7:
Energy-Like Functions / 5.7.2:
Dynamical Complexity / 5.7.3:
Abstract Compositional Analysis of Systems: Dynamics and Computations / Part III:
Compositional Analysis of Dynamical Properties / 6:
Aims and Informal Results / 6.1:
Inversion / 6.2:
Restrictions / 6.3:
Domain Restriction / 6.3.1:
Range Restriction / 6.3.2:
Negation / 6.4:
Sequential Composition / 6.5:
Intersection / 6.6:
Union / 6.7:
Products / 6.8:
Free Product / 6.8.1:
Connected Product / 6.8.2:
Combining Union with Free Product / 6.9:
Compositionality: Summary / 6.10:
Limitations and Open Problems / 6.10.2:
Related Work / 6.10.3:
Emergence of Complexity by Structural Composition / 6.10.4:
Case Studies: Compositional Analysis of Dynamics / 7:
A Collection of Complex Behaviors / 7.1:
Smale Horseshoe Map / 7.2:
Cantor Relation / 7.3:
From Cantor Relation to Truncated Logistic Map / 7.4:
Paperfoldings / 7.5:
Introduction / 7.5.1:
Paperfolding Sequences / 7.5.2:
Dynamical Complexity of Paperfoldings / 7.5.3:
Partial Conclusions / 7.5.4:
Discussion: Compositional Dynamical Complexity / 7.6:
Experimental Compositional Analysis of Cellular Automata / 8:
Aims and Motivations: Attraction-Based Classification and Composition / 8.1:
Preliminary Notions / 8.2:
Cellular Automata / 8.2.1:
Transfinite Attraction / 8.2.2:
Shifted Hamming Distance / 8.2.3:
Experimental Classification / 8.3:
Formal Attraction-Based Classification / 8.4:
Type-<$>{\cal N}<$> Cellular Automata / 8.4.1:
Type-<$>{\cal F}<$> Cellular Automata / 8.4.3:
Type-<$>{\cal P}<$> Cellular Automata / 8.4.4:
Type-<$>{\cal S}<$> Cellular Automata / 8.4.5:
Type-<$>{\cal A}<$> Cellular Automata / 8.4.6:
Structural Organizations of CA Classes / 8.4.7:
Motivation: Simulation vs Theoretical Results / 8.5.1:
Linear Periodicity Hierarchy / 8.5.2:
Periodicity Clustering / 8.5.3:
Organization w.r.t. Shifted Hamming Distance / 8.5.4:
Dynamical Complexity in CA / 8.5.5:
Conjectures in CA Composition / 8.6:
Complexity by Composition of Shifts / 8.7:
Rules 2 and 16 / 8.7.1:
A More Precise Conjecture / 8.7.2:
Qualitative Analysis and Complexity Measures / 8.8:
Compositional Analysis of Complex CA / 8.9:
Local Disjunction, Local Union, and Global Union / 8.9.1:
Comparison and Summary of Results / 8.9.2:
Summary and Partial Conclusion / 8.10:
Open Questions / 8.10.2:
Classification: State-of-the-Art / 8.10.3:
Aperiodicity in Cellular Automata / 8.10.4:
Related Work in Composition / 8.10.5:
Compositional Analysis of Computational Properties / 9:
Automata as Dynamical Systems / 9.1:
Comparing Dynamical Systems / 9.2:
Extrinsic Method / 9.2.1:
Intrinsic Method / 9.2.2:
Our Comparison / 9.2.3:
From Locality to Globality / 9.3:
Turing Machines / 9.3.1:
Continuous Functions / 9.3.2:
General Model / 9.3.4:
Comparison Through Simulation / 9.4:
Simulation / 9.4.1:
Choice of Coding / 9.4.2:
From TM to CA / 9.4.3:
From CA to CF / 9.4.4:
Weak Hierarchy / 9.4.5:
Topological and Metric Properties / 9.5:
Continuity / 9.5.1:
Shift-Invariance / 9.5.2:
Lipschitz Property / 9.5.3:
Shift-Vanishing Effect / 9.5.4:
Nondeterminism / 9.5.5:
Summary / 9.5.6:
Computability of Initial Conditions / 9.6:
Hierarchy of Systems / 9.7:
Composition and Computation / 9.8:
Further Work / 9.8.2:
Epilogue: Conclusions and Directions for Future Work / 9.8.3:
Contributions and Related Work / 10.1:
Mathematical Framework / 10.1.1:
Compositional Analysis / 10.1.2:
Directions for Future Research / 10.2:
A Patchwork of Open Technical Issues / 10.2.1:
Fractal Image Compression / 10.2.2:
Distributed Dynamical Optimization / 10.2.3:
Distributed Systems and Self-Stabilization / 10.2.4:
Probabilistic Systems and Measures / 10.2.5:
Higher-Order Systems, Control, and Learning / 10.2.6:
Design of Attraction-Based Systems / 10.2.7:
The Garden of Structural Similarities / 10.3:
Coda: Compositional Complexity Revisited / 10.4:
Bibliography
Glossary of Symbols
Index
Foreword / Michel Sintzoff
Preface
Prologue: Aims, Themes, and Motivations / 1:
36.

図書

図書
Richard Sharp
出版情報: Berlin ; Tokyo : Springer, c2004  xvi, 195 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2963
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Introduction / 1:
Hardware Description Languages / 1.1:
Hardware Synthesis / 1.2:
High-Level Synthesis / 1.2.1:
Motivation for Higher Level Tools / 1.3:
Lack of Structuring Support / 1.3.1:
Limitations of Static Scheduling / 1.3.2:
Structure of the Monograph / 1.4:
Related Work / 2:
Verilog and VHDL / 2.1:
The Olympus Synthesis System / 2.2:
The HardwareC Language / 2.2.1:
Hercules / 2.2.2:
Hebe / 2.2.3:
Functional Languages / 2.3:
/?FP: An Algebra for VLSI Specification / 2.3.1:
Embedding HDLs in General-Purpose Functional Languages / 2.3.2:
Term Rewriting Systems / 2.4:
Occam/CSP-Based Approaches / 2.5:
Handel and Handel-C / 2.5.1:
Tangram and Balsa / 2.5.2:
Synchronous Languages / 2.6:
Summary / 2.7:
The SAFL Language / 3:
Motivation / 3.1:
Language Definition / 3.2:
Static Allocation / 3.2.1:
Integrating with External Hardware Components / 3.2.2:
Semantics / 3.2.3:
Concrete Syntax / 3.2.4:
Hardware Synthesis Using SAFL / 3.3:
Automatic Generation of Parallel Hardware / 3.3.1:
Resource Awareness / 3.3.2:
Source-Level Program Transformation / 3.3.3:
Static Analysis and Optimisation / 3.3.4:
Architecture Independence / 3.3.5:
Aside: Dealing with Mutual Recursion / 3.4:
Eliminating Mutual Recursion by Transformation / 3.4.1:
Soft Scheduling / 3.5:
Motivation and Related Work / 4.1:
Translating SAFL to Hardware / 4.1.1:
Soft Scheduling: Technical Details / 4.2:
Removing Redundant Arbiters / 4.2.1:
Parallel Conflict Analysis (PCA) / 4.2.2:
Integrating PCA into the FLaSH Compiler / 4.2.3:
Examples and Discussion / 4.3:
Parallel FIR Filter / 4.3.1:
Shared-Memory Multi-processor Architecture / 4.3.2:
Parallel Tasks Sharing Graphical Display / 4.3.3:
Program Transformation for Scheduling and Binding / 4.4:
High-Level Synthesis of SAFL / 4.5:
FLaSH Intermediate Code / 5.1:
The Structure of Intermediate Grap / 5.1.1:
Translation to Intermediate Code / 5.1.2:
Translation to Synchronous Hardware / 5.2:
Compiling Expressions / 5.2.1:
Compiling Functions / 5.2.2:
Generated Verilog / 5.2.3:
Compiling External Functions / 5.2.4:
Translation to GALS Hardware / 5.3:
A Brief Discussion of Metastability / 5.3.1:
Interfacing between Different Clock Domains / 5.3.2:
Modifying the Arbitration Circuitry / 5.3.3:
Analysis and Optimisation of Intermediate Code / 5.4:
Architecture-Neutral verses Architecture-Specific / 6.1:
Definitions and Terminology / 6.2:
Register Placement Analysis and Optimisation / 6.3:
Sharing Conflicts / 6.3.1:
Technical Details / 6.3.2:
Resource Dependency Analysis / 6.3.3:
Data Validity Analysis / 6.3.4:
Sequential Conflict Register Placement / 6.3.5:
Extending the Model: Calling Conventions / 6.4:
Caller-Save Resource Dependency Analysis / 6.4.1:
Caller-Save Permanisation Analysis / 6.4.2:
Synchronous Timing Analysis / 6.5:
Associated Optimisations / 6.5.1:
Results and Discussion / 6.6:
Register Placement Analysis: Results / 6.6.1:
Synchronous Timing Optimisations: Results / 6.6.2:
Dealing with I/O / 6.7:
SAFL+ Language Description / 7.1:
Channels and Channel Passing / 7.1.1:
The Motivation for Channel Passing / 7.1.3:
Translating SAFL+ to Hardware / 7.2:
Extending Analyses from SAFL to SAFL+ / 7.2.1:
Operational Semantics for SAFL+ / 7.3:
Transition Rules / 7.3.1:
Semantics for Channel Passing / 7.3.2:
Non-determinism / 7.3.3:
Combining Behaviour and Structure / 7.4:
Embedding Structural Expansion in SAFL / 8.1:
Building Combinatorial Hardware in Magma / 8.2.1:
Integrating SAFL and Magma / 8.2.2:
Aside: Embedding Magma in VHDL/Verilog / 8.3:
Transformation of SAFL Specifications / 8.4:
Hardware Software CoDesign / 9.1:
Comparison with Other Work / 9.1.1:
The Stack Machine Template / 9.2:
Stack Machine Instances / 9.2.2:
Compilation to Stack Code / 9.2.3:
The Partitioning Transformation / 9.2.4:
Validity of Partitioning Functions / 9.2.5:
Extensions / 9.2.6:
Transformations from SAFL to SAFL+ / 9.3:
Case Study / 9.4:
The SAFL to Silicon Tool Chain / 10.1:
DES Encrypter/Decrypter / 10.2:
Adding Hardware VGA Support / 10.2.1:
Conclusions and Further Work / 10.3:
Future Work / 11.1:
Appendix
DES Encryption/Decryption Circuit / A:
Transformations to Pipeline DES / B:
A Simple Stack Machine and Instruction Memory / C:
References
Index
Introduction / 1:
Hardware Description Languages / 1.1:
Hardware Synthesis / 1.2:
37.

図書

図書
Gérard Lacoste ... [et al.] (eds.)
出版情報: Berlin : Springer, c2000  xviii, 350 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1854
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The Vision of SEMPER / Part I:
Secure Electronic Commerce / 1:
The Notion of "Electronic Commerce" / 1.1:
Example 1: Shopping over the Internet / 1.1.1:
Example 2: Business-to-Business Commerce / 1.1.2:
What's Special about Electronic Commerce? / 1.2:
Virtuality of Electronic Commerce / 1.2.1:
The Internet as a Hostile Environment / 1.2.2:
Insecure User Equipment / 1.2.3:
New Opportunities to Commit Fraud / 1.2.4:
Existing Approaches to Secure Electronic Commerce / 1.3:
Secure Channels / 1.3.1:
Trusted Market Provider / 1.3.2:
Digital Signatures and Public-Key Infrastructures / 1.3.3:
Payment Systems / 1.3.4:
The Whole Picture of Electronic Commerce / 1.4:
Resulting Goals of SEMPER / 1.5:
Security Requirements / 1.5.1:
The SEMPER Focus / 1.5.2:
Technical Framework / 2:
The SEMPER Model / 2.1:
Approach / 2.2:
Architecture / 2.3:
Protocols and Implementation / 2.4:
Legal Framework / 3:
Introduction / 3.1:
Predictable Liability for Signature Keys / 3.2:
Commitments without Online Third Party / 3.2.1:
Liability-Cover Service / 3.2.2:
Security and Market Effectiveness / 3.2.3:
The SEMPER Electronic-Commerce Agreement / 3.3:
Structure of SECA / 3.3.1:
Introducing Electronic-Commerce Agreements / 3.3.2:
Conclusions / 3.4:
Vision of Future Products / 4:
Four Facets of SEMPER as a Product / 4.1:
SEMPER-based Business Applications / 4.2:
Secure Internet Shopping / 4.2.1:
Person-to-Person Scenario: The Fair Internet Trader / 4.2.2:
Outlook / 4.3:
Project Achievements / Part II:
Organizational Overview / 5:
Structure of SEMPER / 5.1:
Lessons Learned / 5.2:
Initial Education / 5.2.1:
Common Understanding / 5.2.2:
Teams of Individuals, not Organizations / 5.2.3:
Important Concepts / 6:
The Model of Deals, Transfers, and Exchanges / 6.1.1:
Global Security Concepts / 6.1.2:
Security Attributes / 6.1.3:
Transactions, Sessions, Contexts / 6.1.4:
Service Architecture / 6.2:
Business Applications / 6.2.1:
Commerce Layer / 6.2.2:
Transfer-and-Exchange Layer / 6.2.3:
Business-Item Layer / 6.2.4:
Supporting Services / 6.2.5:
Implementation Architecture / 6.3:
Structure of a Block: Manager-Module Concept / 6.3.1:
Communication / 6.3.2:
Business Applications and Browser Integration / 6.3.3:
Prototype / 6.4:
Experiments / 6.5:
Trial Sites and Services / 7.1:
Internal SEMPER Trials / 7.2.1:
Freiburg Basic Trial / 7.2.2:
SME Trials / 7.2.3:
Freiburg SME Trial / 7.2.4:
MOMENTS Trial / 7.2.5:
Trial Implementations / 7.3:
Trial Services / 7.3.1:
Equipment and Set-Up / 7.3.2:
SME Business Applications / 7.3.3:
Trial Participants' Reactions / 7.3.4:
Initializing the SEMPER Software / 7.4.1:
Purse Creation and Management/Payment Options / 7.4.2:
TINGUIN (Trustworthy User Interface) / 7.4.3:
Secure Identification and Document Exchange / 7.4.4:
Service Providers' Reaction / 7.5:
Conclusion / 7.6:
The Fair Internet Trader / 8:
Vision of a Person-to-Person Electronic-Commerce Tool / 8.1:
A New Type of Electronic Commerce / 8.1.1:
The Role of a Tool / 8.1.2:
The FIT from a User Perspective / 8.2:
Overview / 8.2.1:
Negotiation Stage / 8.2.2:
Contract Signing Stage / 8.2.3:
Fulfillment Stage / 8.2.4:
Disputes / 8.2.5:
Internal Design / 8.3:
The Messages Subsystem / 8.3.1:
The Display Subsystem / 8.3.3:
The Flow Subsystem / 8.3.4:
Execution Model / 8.3.5:
The Commerce Layer: A Framework for Commercial Transactions / 8.4:
Technical Approach / 9.1:
The Challenge / 9.1.1:
The Generic Deal Approach / 9.1.2:
Concepts and Architecture / 9.2:
The Commerce-Transaction Service Model / 9.2.1:
Trust Relations / 9.2.2:
Commerce Transaction / 9.2.3:
Commerce Deal / 9.2.4:
The Commerce Service API Access Control / 9.2.5:
Authorization of Commerce Transactions / 9.2.6:
Service Quality Management / 9.2.7:
Design Overview / 9.3:
The Commerce-Layer Use Cases / 9.3.1:
Class Diagram / 9.3.2:
Commerce Transactions / 9.3.3:
Representation of a Commerce Transaction / 9.3.4:
The Downloader / 9.3.5:
Scenarios / 9.3.6:
Using the Commerce Transaction Service / 9.4:
Case Description / 9.4.1:
Definition of Transaction Classes / 9.4.2:
Activation of a Deal / 9.4.3:
Inspection of a Deal / 9.4.4:
Fair Exchange: A New Paradigm for Electronic Commerce / 9.4.5:
Introduction and Overview / 10.1:
Why "Generic" Fair Exchange? / 10.1.1:
Notation and Assumptions / 10.1.2:
Related Work / 10.2:
Certified Mail / 10.2.1:
Contract Signing / 10.2.2:
Fair Purchase / 10.2.3:
Using Transfers and Fair Exchanges / 10.3:
Transfers of Basic Business Items / 10.3.1:
Fair Exchange / 10.3.2:
A Model of Transfers Enabling Fair Exchange / 10.4:
External Verifiability / 10.4.1:
Generatability / 10.4.2:
Revocability / 10.4.3:
Examples / 10.4.4:
Transfer-based Generic Fair Exchange / 10.5:
Exchanging Externally Verifiable and Generatable Items / 10.5.1:
Exchanging Externally Verifiable and Revocable Items / 10.5.2:
Efficiency / 10.5.3:
The SEMPER Fair-Exchange Framework / 10.6:
Class Hierarchy / 10.6.1:
The Transfer-and-Exchange Framework in Action / 10.6.2:
Extending the Transfer-and-Exchange Layer / 10.6.3:
The Payment Framework / 11:
Models of Electronic Payment Systems / 11.1:
Players / 11.2.1:
Payment Models / 11.2.2:
Design of the Framework / 11.3:
Scope / 11.3.1:
Functional Architecture / 11.3.2:
Purses / 11.3.3:
Transactions and Transaction Records / 11.3.5:
Payment Manager / 11.3.6:
Adapting a Payment System / 11.4:
Using the Generic Payment Service Framework / 11.5:
Payment Transactions / 11.5.1:
Special Application Functionality / 11.5.2:
Token-based Interface Definition / 11.6:
Extending the Design / 11.7:
Dispute Management / 11.7.1:
Payment Security Policies / 11.7.2:
Summary / 11.8:
Trust Management in the Certificate Block / 12:
Public-Key Infrastructure / 12.1:
The Need for Trust Management / 12.2:
Specifying Trusted CAs and Acceptable Certificates / 12.2.1:
Selecting Certificates Automatically in a Business Session / 12.2.2:
Design of Policy Management / 12.3:
Maintaining Information about Policies / 12.3.1:
Using Policies / 12.3.2:
Negotiation of Certificates / 12.3.3:
Prototype Implementation / 12.4:
Public-Key Infrastructure in the SEMPER Trials / 12.4.1:
Trust Management / 12.4.2:
Netscape Communicator / 12.5:
Microsoft Internet Explorer / 12.5.2:
Policy Maker / 12.5.3:
Limiting Liability in Electronic Commerce / 13:
Necessity to Limit Liability / 13.1:
Separation Between Digital Signature and Undeniable Commitment / 13.1.2:
Principles and Achievements of the Solution Proposed / 13.1.3:
Description of the Commitment Service / 13.2:
What Exactly is an Undeniable Commitment? / 13.2.1:
Initialization of the Subscriber / 13.2.2:
Key Certificate / 13.2.3:
Key Revocation / 13.2.4:
Commitment Request and Response / 13.2.5:
Validity of the Commitment Certificates / 13.2.6:
Using the Commitment Service as Liability-Cover Service / 13.2.7:
Integration in a Legal Framework / 13.2.8:
Possible Variants and Supplements / 13.3:
Limits / 13.3.1:
Message Flow / 13.3.2:
Combination with "Solvency Service" / 13.3.3:
Recharging Liabilities / 13.3.4:
Several Relying Parties or Beneficiaries / 13.3.5:
Other Kinds of Authorization and Issuance of Commitment Certificates / 13.3.6:
Who is Liable for Failures at the CCA? / 13.4:
Reasons for Merchants to Use the Commitment Service / 13.5:
Chambers of Commerce to Provide the Commitment Service? / 13.5.2:
Reasons for Buyers to Use the Commitment Service / 13.5.3:
Legal Aspects / 14:
Legal Issues in Electronic Commerce / 14.1:
Applicable Law and Jurisdiction / 14.2.1:
Electronic Authentication-Validity of Digital Signatures / 14.2.2:
Proof of Digital Signatures / 14.2.3:
Regulations for Use and Export of Dual-Use Goods / 14.2.4:
Consumer-Protection Laws / 14.2.5:
Privacy and Data Protection / 14.2.6:
Advertising, Competition, Spamming / 14.2.7:
Content of Contracts and Internet Pages / 14.2.8:
Contract Law / 14.2.9:
Copyright and Trademark / 14.2.10:
Payment / 14.2.11:
Taxation / 14.2.12:
Selected Approaches at Legal Frameworks / 14.2.13:
UNCITRAL Model Law on Electronic Commerce / 14.3.1:
Approach of the Commission of the European Community (CEC) / 14.3.2:
OECD Guidelines / 14.3.3:
Utah Digital Signature Act (1996) / 14.3.4:
German Digital Signature Act (1997) / 14.3.5:
Electronic Data Interchange Agreements / 14.3.6:
General / 14.3.7:
SECA CAs / 14.4.2:
SECA Legal Body / 14.4.3:
Joining SECA / 14.4.4:
Liability-Limits in SECA / 14.4.5:
Blacklists of Players Claiming Compromised Keys and Signatures / 14.4.6:
Levels of Equipment / 14.4.7:
The Vision of SEMPER / Part I:
Secure Electronic Commerce / 1:
The Notion of "Electronic Commerce" / 1.1:
38.

図書

図書
Ralf Küsters
出版情報: Berlin : Springer, c2001  x, 250 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2100 . Lecture notes in artificial intelligence
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Introduction / 1:
Description Logics / 2:
History / 2.1:
Syntax and Semantics of Description Logics / 2.2:
Concept Descriptions / 2.2.1:
Terminologies (TBoxes) / 2.2.2:
World Descriptions (ABoxes) / 2.2.3:
Standard Inferences / 2.3:
Decision Algorithms / 2.4:
Non-Standard Inferences / 3:
LCS and MSC / 3.1:
Definition of LCS and MSC / 3.1.1:
Applications of LCS and MSC / 3.1.2:
Previous Results / 3.1.3:
New Results / 3.1.4:
Matching / 3.2:
Definition of Matching Problems / 3.2.1:
Applications of Matching / 3.2.2:
Solutions of Matching Problems / 3.2.3:
The Underlying Techniques / 3.2.4:
Other Non-Standard Inferences / 3.4:
Characterizing Subsumption / 4:
Subsumption in ALNS / 4.1:
A Graph-Based Characterization of Subsumption / 4.1.1:
A Description-Based Characterization of Subsumption / 4.1.2:
Subsumption in ALE / 4.2:
A Tree-Based Characterization of Subsumption / 4.3.1:
LCS for ALNS-Concept Descriptions / 4.3.2:
The LCS in ALNS / 5.1.1:
The LCS in LS / 5.1.2:
LCS for ALE-Concept Descriptions / 5.2:
Matching in ALNS / 6:
Deciding the Solvability of Matching Problems / 6.1.1:
Computing Minimal i-Complete Sets / 6.1.2:
Computing Minimal d-Complete Sets / 6.1.3:
Deciding the Solvability of Matching / 6.2:
Matching in ALE / 6.2.2:
Matching in EL / 6.3.1:
Equivalence of ALE-Concept Descriptions / 6.3.2:
Deciding the Solvability of Matching in FLE / 6.3.3:
Deciding the Solvability of Matching in ALE / 6.3.4:
Computing i-Minimal Matchers in ALE / 6.3.5:
Computing d-Minimal Matchers in ALE / 6.3.6:
Conclusion / 7:
References
Index
Introduction / 1:
Description Logics / 2:
History / 2.1:
39.

図書

図書
Ralph Bergmann
出版情報: Berlin : Springer, c2002  xx, 393 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2432 . Lecture notes in artificial intelligence
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Introduction / 1:
Complex Problem Solving in the Internet Age / 1.1:
Knowledge Intensive Problem Solving / 1.1.1:
Complexity Issues / 1.1.2:
Internet-Based Applications / 1.1.3:
Example Application Scenarios / 1.2:
Electronic Commerce / 1.2.1:
Diagnosis of Complex Technical Equipment / 1.2.2:
Electronics Design / 1.2.3:
Experience Reuse / 1.3:
Basic Scenarios of Experience Reuse / 1.3.1:
Expected Benefits of Experience Reuse / 1.3.2:
Experience Management / 1.4:
Knowledge Management / 1.4.1:
Experience Management versus Knowledge Management / 1.4.2:
Experience Management Activities / 1.4.3:
Experience Management Definition / 1.4.4:
Web Technologies for Experience Management / 1.5:
Representing and Storing Experience on the Web / 1.5.1:
Accessing Experience from the Web / 1.5.2:
Limitations of Information Access Approaches for Experience Reuse / 1.5.3:
Internet Technologies as Infrastructure for Experience Management / 1.5.4:
Methods for Experience Management on the Conceptual Level / 1.6:
Overview of This Book / 1.7:
The Topic in a Nutshell / 1.7.1:
Contributions from Recent Projects / 1.7.2:
Structure of the Book / 1.7.3:
Knowledge, Experience and Their Characteristics / 2:
Data, Information, and Knowledge / 2.1.1:
Specific and General Knowledge / 2.1.2:
Experience / 2.1.3:
Representation of Experience and Related Knowledge for Reuse / 2.1.4:
General Model for Experience Management / 2.2:
Problem Solving Cycle / 2.2.1:
Development and Maintenance Methodology / 2.2.2:
Related Models / 2.3:
Knowledge Management and Organizational Memory / 2.3.1:
Quality Improvement Paradigm and Experience Factory / 2.3.2:
The Case-Based Reasoning Cycle / 2.3.3:
Knowledge Representation for Experience Management / Part I:
Representing Experience / 3:
Cases for Representing Experience / 3.1:
Basic Case Structure / 3.1.1:
A First General Formalization of Cases / 3.1.2:
Utility of Experience / 3.1.3:
Representing Experience with Respect to Utility / 3.1.4:
Overview of Case Representation Approaches / 3.2:
The Textual Approach / 3.2.1:
The Conversational Approach / 3.2.2:
The Structural Approach / 3.2.3:
Comparing the Different Approaches / 3.2.4:
Effort Required for the Different Approaches / 3.2.5:
Focus on the Structural Approach / 3.2.6:
Formalizing Structural Case Representations / 3.3:
Attribute-Value Representation / 3.3.1:
Object-Oriented Representations / 3.3.2:
Graph Representations / 3.3.3:
Predicate Logic Representations / 3.3.4:
Relation to the General Definition / 3.3.5:
Comparing Different Structural Case Representation Approaches / 3.3.6:
Generalized Cases / 3.4:
Extensional Definition of Generalized Cases / 3.4.1:
Different Kinds of Generalized Cases / 3.4.2:
Representation of Generalized Cases / 3.4.3:
Hierarchical Representations and Abstract Cases / 3.5:
Advantages of Abstract Cases / 3.5.1:
Levels of Abstraction / 3.5.2:
Kind of Cases / 3.5.3:
Languages for Structural Case Representations / 3.6:
Common Case Representation Language CASUEL / 3.6.1:
The XML-based Orenge Modeling Language OML / 3.6.2:
Choice of the Vocabulary / 3.7:
Characterization Part / 3.7.1:
Lesson Part / 3.7.2:
Choice of Types / 3.7.3:
Assessing Experience Utility / 4:
Approximating Utility with Similarity / 4.1:
Traditional View of Case-Based Reasoning / 4.1.1:
Extended View / 4.1.2:
Similarity Measures / 4.1.3:
Relations between Similarity and Utility / 4.1.4:
General Considerations Concerning Similarity and Distance / 4.2:
Distance Measures / 4.2.1:
Possible Properties of Similarity Measures / 4.2.2:
Similarity and Fuzzy Sets / 4.2.3:
Similarity Measures for Attribute-Value Representations / 4.3:
Simple Measures for Binary Attributes / 4.3.1:
Simple Measures for Numerical Attributes / 4.3.2:
TheLocal-Global Principle / 4.3.3:
Local Similarity Measures for Numeric Attributes / 4.3.4:
Local Similarity Measures for Unordered and Totally Ordered Symbolic Attributes / 4.3.5:
Taxonomically Ordered Symbolic Types / 4.3.6:
Global Similarity Measures / 4.3.7:
Similarity Measures for Object-Oriented Representations / 4.4:
Example Use of Class Hierarchies and Object Similarities / 4.4.1:
Computing Object Similarities / 4.4.2:
Handling Multi-value Attributes / 4.4.3:
Related Approaches / 4.4.4:
Similarity Measures for Graph Representations / 4.5:
Graph Matching / 4.5.1:
Graph Editing / 4.5.2:
Similarity Measures for Predicate Logic Representations / 4.6:
Treating Atomic Formulas as Binary Attributes / 4.6.1:
Similarity between Atomic Formulas / 4.6.2:
Similarity through Logical Inference / 4.6.3:
Similarity for Generalized Cases / 4.7:
Canonical Extension of a Similarity Measure / 4.7.1:
The General Problem of Similarity Assessment / 4.7.2:
Representing Knowledge for Adaptation / 5:
Rule-Based Representations / 5.1:
Different Kinds of Rules / 5.1.1:
Formalization for Rules in an Object-Oriented Framework / 5.1.2:
An Example / 5.1.3:
Operator-Based Representations / 5.2:
Basic Approach / 5.2.1:
Representation / 5.2.2:
Restricting Adaptability with Consistency Constraints / 5.3:
Methods for Experience Management / 5.4:
User Communication / 6:
Introduction to User Interaction / 6.1:
A Basic Communication Architecture / 6.1.1:
Requirements / 6.1.2:
Distribution between Client and Server Side / 6.1.3:
A Formal Dialog Model / 6.2:
Overview / 6.2.1:
Dialog Situation / 6.2.2:
Dialog Interactions / 6.2.3:
Dialog Strategy and Its Execution / 6.2.4:
Predefined Static Dialog / 6.3:
Three-Step Questionnaire-Based Problem Acquisition / 6.3.1:
Static Domain Specific Dialogs / 6.3.2:
Dynamic and Adaptable Strategies / 6.4:
Criteria for Attribute Selection / 6.4.1:
Compiling Dialog Strategies / 6.4.2:
Dynamically Interpreted Strategies / 6.4.3:
Learning from User Interaction / 6.4.4:
Experience Presentation / 6.5:
Simple Lesson Lists / 6.5.1:
Experience Lists with External Links / 6.5.2:
Adding Similarity Explanations / 6.5.3:
Adaptive Experience Presentation / 6.5.4:
Experience Retrieval / 7:
General Considerations / 7.1:
Formal Retrieval Task / 7.1.1:
Storing Case Data in Databases / 7.1.2:
Overview of Approaches / 7.1.3:
Sequential Retrieval / 7.2:
Indexing by kd-Tree Variants / 7.3:
The Standard kd-Tree / 7.3.1:
The Inreca Tree / 7.3.2:
Building the Inreca Tree / 7.3.3:
Retrieval with the Inreca-Tree / 7.3.4:
Properties of kd-Tree Based Retrieval / 7.3.5:
Fish and Shrink Retrieval / 7.4:
BasicIdea / 7.4.1:
Retrieval Algorithm / 7.4.2:
Properties ofFish and Shrink / 7.4.3:
Case Retrieval Nets / 7.5:
The Case Retrieval Net Index Structure / 7.5.1:
The Retrieval Algorithm / 7.5.2:
Properties of Case Retrieval Nets / 7.5.3:
SQL Approximation / 7.6:
The Basic Idea / 7.6.1:
Properties of SQL Approximation / 7.6.2:
Summary / 7.7:
Experience Adaptation / 8:
Overview and Characterization of Different Adaptation Approaches / 8.1:
The Continuum of Adaptation Models / 8.1.1:
Generative Adaptation / 8.1.2:
Compositional Adaptation / 8.1.3:
Hierarchical Adaptation / 8.1.4:
Adaptation for Experience Management for Complex Problem Solving / 8.1.5:
Theory of Transformational Adaptation / 8.2:
Experience Transformations / 8.2.1:
The Experience Transformation Process / 8.2.2:
Similarity Measures in the Context of Experience Transformations / 8.2.3:
Relation to Rewrite Systems / 8.2.4:
Relation to Generalized Cases / 8.2.5:
Adaptation with Explicit Transformation Knowledge / 8.3:
Rule-Based Adaptation / 8.3.1:
Interactive Operator-Based Adaptation / 8.3.2:
Incremental Compositional Adaptation / 8.4:
Highly Structured Problems / 8.4.1:
Compositional Approach / 8.4.2:
The Adaptation Cycle / 8.4.3:
Controlling the Adaptation Cycle / 8.4.4:
Adaptation as Hill-Climbing Search / 8.4.5:
Developing and Maintaining Experience Management Applications / 9:
General Purpose of a Methodology / 9.1:
Methodology for Experience Management / 9.1.2:
Contributions to Methodology Development / 9.1.3:
INRECA Methodology Overview / 9.2:
Process Modeling / 9.2.1:
Experience Captured in Software Process Models / 9.2.2:
The INRECA Experience Base / 9.3:
Process Modeling in INRECA / 9.4:
Technical, Organizational, and Managerial Processes / 9.4.1:
Interaction among Processes / 9.4.2:
Combining Processes to Process Models / 9.4.3:
Generic and Specific Descriptions / 9.4.4:
The Common Generic Level / 9.5:
Managerial Processes / 9.5.1:
Technical Processes: Software Development / 9.5.3:
Organizational Processes / 9.5.4:
Documenting the INRECA Experience / 9.6:
Process Description Sheets / 9.6.1:
Product Description Sheets / 9.6.2:
Simple Method Description Sheets / 9.6.3:
Complex Method Description Sheets / 9.6.4:
Reusing and Maintaining INRECA Experience / 9.7:
The INRECA Reuse Procedure / 9.7.1:
Relations to the EMM Problem Solving Cycle / 9.7.2:
Development and Maintenance of the INRECA Experience Base / 9.7.3:
Tool Support for the INRECA Methodology / 9.8:
INRECA Experience Modeling Methodology Tool / 9.8.1:
Knowledge Modeling Tools / 9.8.2:
Experience Management Application Areas / Part III:
Experience Management for Electronic Commerce / 10:
Introduction to the Electronic Commerce Scenario / 10.1:
Electronic Commerce Definition / 10.1.1:
Transaction Model / 10.1.2:
Knowledge Involved in Electronic Commerce / 10.1.3:
Opportunities for Experience Management Support / 10.1.4:
Analyzing Pre-sales Scenarios / 10.2:
Customer Wishes / 10.2.1:
Products / 10.2.2:
Experience Representation for Product Search / 10.2.3:
WEBSELL: A Generic Electronic Commerce Architecture / 10.3:
Pathways Server and Dialog Components / 10.3.1:
Case-Based Retrieval / 10.3.2:
Collaborative Recommendation / 10.3.3:
Customization / 10.3.4:
Methodology Recipe for Electronic Commerce / 10.4:
Requirements Acquisition / 10.4.1:
Knowledge Modeling / 10.4.2:
GUI Development / 10.4.3:
Implement CBR Retrieval Engine / 10.4.4:
Integrate CBR and GUI / 10.4.5:
Application Overview / 10.5:
Application: Product Catalog for Operational Amplifiers / 10.6:
Vocabulary and User Interface / 10.6.1:
Benefit Analysis / 10.6.2:
Application: Customization of Electro-mechanical Components / 10.7:
Vocabulary, Retrieval, Customization, and User Interface / 10.7.1:
Experience Management for Self-Service and Help-Desk Support / 10.7.2:
Structure and Representation of the Experience Base / 11.1:
Object-Oriented Representation / 11.2.1:
Case Structure / 11.2.2:
Partitioning the Experience Base / 11.2.3:
User and Roles / 11.3:
Overall Architecture / 11.4:
The Server / 11.4.1:
The HOMER Client / 11.4.2:
Hotline Component / 11.5:
Create a New Problem Description / 11.5.1:
Retrieving Problem Solutions / 11.5.2:
Feedback from Problem Solving / 11.5.3:
Methodology Recipe for Help-Desk Applications / 11.6:
Managerial Processes during System Development / 11.6.1:
Organizational Processes during System Development / 11.6.2:
Technical Processes during System Development / 11.6.3:
Managerial Processes during System Use / 11.6.4:
Organizational Processes during System Use / 11.6.5:
Technical Processes during System Use / 11.6.6:
Process Model for a Help-Desk Project / 11.6.7:
Evaluation of HOMER / 11.7:
Benefits for the Help-Desk Operators / 11.7.1:
Evaluation of the Methodology Recipe / 11.7.2:
Experience Management for Electronic Design Reuse / 11.8:
Electronic Design Reuse / 12.1:
Intellectual Properties / 12.1.1:
IP Reuse / 12.1.2:
Existing IP Reuse Support / 12.1.3:
Challenges of Experience Management for IP Reuse / 12.1.4:
Representation of Intellectual Properties / 12.2:
IP Taxonomy / 12.2.1:
IP Attributes / 12.2.2:
IP Representation as Generalized Cases / 12.2.3:
An Example IP / 12.2.4:
Descriptions of Design Problems and Reuse-Related Knowledge / 12.3:
Problem Descriptions / 12.3.1:
The READEE Prototype for DSP Selection / 12.3.2:
Issues ofFuture Research / 12.5:
List of Symbols
References
Index
Introduction / 1:
Complex Problem Solving in the Internet Age / 1.1:
Knowledge Intensive Problem Solving / 1.1.1:
40.

図書

図書
edited by R. Hettich
出版情報: Berlin ; New York : Springer-Verlag, 1979  x, 178 p. ; 25 cm
シリーズ名: Lecture notes in control and information sciences ; 15
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Introduction to Microfluidics / Chapter 1:
Abstract
History of Microfluidics / 1.1:
The beginning: Gas chromatography and capillary electrophoresis / 1.2.1:
The microfluidic advantage / 1.2.2:
Modular separation, reaction and hybridization systems / 1.2.3:
Integrated systems / 1.2.4:
Fluidics and Transport Fundamentals / 1.3:
The continuum approximation / 1.3.1:
Laminar flow / 1.3.2:
Diffusion in microfluidic systems / 1.3.3:
Surface forces and droplets / 1.3.4:
Pumps and valves / 1.3.5:
Electrokinetics / 1.3.6:
Thermal management / 1.3.7:
Device Fabrication / 1.4:
Materials / 1.4.1:
Fabrication and assembly / 1.4.2:
Biological Applications / 1.5:
Genetic analysis (DNA/RNA) / 1.5.1:
Proteomics / 1.5.2:
Cellular assays / 1.5.3:
Drug delivery and compatibility / 1.5.4:
The Future / 1.6:
Potential demand/market for microfluidic devices / 1.6.1:
Current products / 1.6.2:
Challenges and the future / 1.6.3:
References
Materials and Microfabrication Processes for Microfluidic Devices / Chapter 2:
Introduction / 2.1:
Silicon Based Materials / 2.2:
Micromachining of silicon / 2.2.1:
Bulk micromachining / 2.2.2:
Surface micromachining / 2.2.3:
Glass Based Materials / 2.3:
Microfabrication in glass / 2.3.1:
Wafer Bonding / 2.4:
Fusion bonding / 2.4.1:
Anodic bonding / 2.4.2:
Adhesive bonding / 2.4.3:
Polymers / 2.5:
Microfabrication / 2.5.1:
Polymer materials / 2.5.2:
Conclusion / 2.6:
Interfacing Microfluidic Devices with the Macro World / Chapter 3:
Typical Requirements for Microfluidic Interfaces / 3.1:
Review of Microfluidic Interfaces / 3.3:
World-to-chip interfaces / 3.3.1:
Chip-to-world interfaces / 3.3.2:
Future Perspectives / 3.4:
Genetic Analysis in Miniaturized Electrophoresis Systems / Chapter 4:
Status of genetic analyses / 4.1:
Genetic analysis by miniaturized electrophoresis system / 4.1.2:
Microchip Electrophoresis for Genomic Analysis / 4.2:
Material and fabrication of electrophoresis microchips / 4.2.1:
Theory of gel electrophoresis of DNA / 4.2.2:
Gel matrices / 4.2.3:
Novel DNA separation strategies on microchips / 4.2.4:
Surface coating methods for microchannel walls / 4.2.5:
Parallelization in Microchip Electrophoresis / 4.3:
Integration in Microchip Electrophoresis for Genetic Analysis / 4.4:
Sample preparation on microchip / 4.4.1:
System integration / 4.4.2:
Commercial Microfluidic Instruments for Genetic Analyses / 4.5:
Commercial microchip electrophoresis instruments for genetic analysis / 4.5.1:
Integrated microfluidic instruments for genetic analyses / 4.5.2:
Microfluidic Markets and Future Perspectives / 4.6:
Microfluidic Systems for Protein Separations / Chapter 5:
Advantages of microfluidic chips for protein separations / 5.1:
Limitations of microfluidic chips in proteomics applications / 5.1.2:
Substrates used for proteomic analysis / 5.1.3:
Microfluidic Chips for Protein Separation / 5.2:
Microchip-based electrophoretic techniques / 5.2.1:
Microchip chromatography / 5.2.2:
Integrated Analysis in Microchips / 5.3:
Integration of sample preparation with analysis / 5.3.1:
Multi-dimensional separation in microchips / 5.3.2:
Chips integrated with mass spectrometry / 5.3.3:
Future Directions / 5.4:
Microfluidic Systems for Cellular Applications / Chapter 6:
Physiological advantages / 6.1:
Biological advantages / 6.1.2:
Economical advantages / 6.1.3:
Microfluidic Technology for Cellular Applications / 6.2:
Microfluidic cell isolation/separation / 6.2.1:
Microfluidic cell culture / 6.2.2:
Microfluidic cell analysis / 6.2.3:
Commercialization of Microfluidic Technology / 6.3:
Concluding Remarks / 6.4:
Microfluidic Systems for Engineering Vascularized Tissue Constructs / Chapter 7:
Generating 2D Vascularized Tissue Constructs Using Microfluidic Systems / 7.1:
Generating 3D Vascularized Tissue Constructs Using Microfluidic Systems / 7.3:
Hydrogel-based Microfluidic Systems for Generating Vascularized Tissue Constructs / 7.4:
Mathematical Modeling to Optimize the Microfluidic Systems for Generating Vascularized Tissue Constructs / 7.5:
Future Challenges / 7.6:
Conclusions / 7.7:
High Throughput Screening Using Microfluidics / Chapter 8:
Cell-Based Assays / 8.1:
High throughput cell culture / 8.2.1:
Cell sorting for high throughput applications / 8.2.2:
Biochemical Assays / 8.3:
PCR / 8.3.1:
Electrophoresis / 8.3.2:
Others / 8.3.3:
Drug Screening Applications / 8.4:
Users and Developers of [mu]F HTS Platforms / 8.5:
Users: Research labs, academic screening facilities, and pharmaceutical / 8.5.1:
Commercialized products in HTS / 8.5.2:
Acknowledgements / 8.6:
Microfluidic Diagnostic Systems for the Rapid Detection and Quantification of Pathogens / Chapter 9:
Infectious pathogens and their prevalence / 9.1:
Traditional pathogen detection methods / 9.1.2:
Microfluidic techniques / 9.1.3:
Review of Research / 9.2:
Pathogen detection/quantification techniques based on detecting whole cells / 9.2.1:
Pathogen detection/quantification techniques based on detecting metabolites released or consumed / 9.2.2:
Pathogen detection/quantification through microfluidic immunoassays and nucleic acid based detection platforms / 9.2.3:
Future Research Directions / 9.3:
Microfluidic Applications in Biodefense / Chapter 10:
Biodefense Monitoring / 10.1:
Civilian biodefense / 10.2.1:
Military biodefense / 10.2.2:
Current Biodefense Detection and Identification Methods / 10.3:
Laboratory detection / 10.3.1:
Field detection / 10.3.2:
Microfluidic Challenges for Advanced Biodefense Detection and Identification Methods / 10.4:
Microscale Sample Preparation Methods / 10.5:
Spore disruption / 10.5.1:
Pre-separations / 10.5.2:
Nucleic acid purifications / 10.5.3:
Immunomagnetic Separations and Immunoassays / 10.6:
Immunomagnetic separations / 10.6.1:
Immunoassays / 10.6.2:
Proteomic Approaches / 10.7:
Nucleic Acid Amplification and Detection Methods / 10.8:
PCR and qPCR detection of pathogens for biodefense / 10.8.1:
Miniaturized and Microfluidic PCR / 10.8.2:
Heating and cooling approaches / 10.8.3:
Miniaturized PCR and qPCR for biodefense / 10.8.4:
Other Nucleic acid amplification methods / 10.8.5:
Microarrays / 10.9:
Microarrays and microfluidics / 10.9.1:
Microelectrophoresis and Biodefense / 10.10:
Microelectrophoresis technologies / 10.10.1:
Integrated lab-on-a-chip systems and biodefense / 10.11:
Full microfluidic integration for biodefense / 10.11.1:
Summary and Perspectives / 10.12:
Current and Future Trends in Microfluidics within Biotechnology Research / Chapter 11:
The Past - Exciting Prospects / 11.1:
The Present - Kaleidoscope-like Trends / 11.2:
Droplet microfluidics / 11.2.1:
Integrating Active Components in Microfluidics / 11.2.2:
Third world - paper microfluidics - George Whitesides / 11.2.3:
Microfluidic solutions for enhancing existing biotechnology platforms / 11.2.4:
Microfluidics for cell biology - seeing inside the cell with molecular probes / 11.2.5:
Microfluidics for cell biology - high throughput platforms / 11.2.6:
The Future - Seamless and Ubiquitous MicroTAS / 11.3:
Index
Introduction to Microfluidics / Chapter 1:
Abstract
History of Microfluidics / 1.1:
41.

図書

図書
Eleftherios Papantonopoulos, editor
出版情報: Berlin : Springer, c2011  xviii, 425 p. ; 24 cm
シリーズ名: Lecture notes in physics ; 828
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Introduction to the AdS/CFT Correspondence / Part I:
Introduction to Anti de Sitter Black Holes / 1:
Spacetimes of Constant Curvature / 1.1:
Spaces of Maximal Symmetry and Constant Curvature / 1.1.1:
Flat Spacetime / 1.1.2:
Anti de Sitter Spacetime / 1.1.3:
Static Black Holes / 1.2:
Basic Properties / 1.2.1:
Thermodynamics / 1.2.2:
Beyond Static Black Holes / 1.3:
References
Perturbations of Anti de Sitter Black Holes / 2:
Introduction / 2.1:
Perturbations / 2.2:
Scalar Perturbations / 2.2.1:
Gravitational Perturbations / 2.2.2:
Electromagnetic Perturbations / 2.2.3:
Hydrodynamics / 2.3:
Vector Perturbations / 2.3.1:
Tensor Perturbations / 2.3.2:
Hydrodynamics on the AdS boundary / 2.3.4:
Conformal Soliton Flow / 2.3.5:
Phase Transitions / 2.4:
K = 0 / 2.4.1:
K = -1 / 2.4.2:
Conclusion / 2.5:
CFTs / 3:
Conformal Algebra / 3.2.1:
Local Field Operators / 3.2.2:
Conformal Correlators / 3.2.3:
AdS/CFT Correspondence / 3.3:
AdS Geometry / 3.3.1:
Partition Function / 3.3.2:
Semi-classical Gravity Limit / 3.3.3:
Large N / 3.4:
SYM from D-Branes / 3.5:
D3-Brane Near Horizon Geometry / 3.5.2:
Strong/Weak Duality / 3.5.3:
Extensions / 3.6:
Holography and the AdS/CFT Correspondence / Part II:
Improved Holographic QCD / 4:
The 5D Model / 4.1:
Scheme Dependence / 4.3:
The Potential and the Parameters of the Model / 4.4:
The Normalization of the Coupling Constant ? / 4.4.1:
The AdS Scale l / 4.4.2:
The UV Expansion Coefficients of V(?) / 4.4.3:
The String Length / 4.4.4:
Integration Constants / 4.4.6:
Latent Heat and Equation of State / 4.5:
Glueball Spectrum / 4.5.2:
Critical Temperature / 4.5.3:
String Tension / 4.5.4:
CP-odd Sector / 4.5.5:
Coupling Normalization / 4.5.6:
Bulk Viscosity / 4.6:
The Holographic Computation / 4.6.1:
The Adiabatic Approximation / 4.6.2:
Buchel's Bound / 4.6.4:
The Drag Force on Strings and Heavy Quarks / 4.7:
The Drag Force / 4.7.1:
The Relativistic Asymptotics / 4.7.2:
The Non-relativistic Asymptotics / 4.7.3:
The Diffusion Time / 4.7.4:
Including the Correction to the Quark Mass / 4.7.5:
Temperature Matching and Diffusion Time Estimates / 4.7.6:
Jet Quenching Parameter / 4.8:
Discussion and Outlook / 4.9:
Drag Force / 4.9.1:
Diffusion Time / 4.9.3:
Jet Quenching / 4.9.4:
The Dynamics of Quark-Gluon Plasma and AdS/CFT / 5:
The AdS/CFT Correspondence / 5.1:
Effective Degrees of Freedom at Strong Coupling / 5.2.1:
Why study N = 4 Plasma? / 5.3:
The AdS/CFT for Studying Real-Time Dynamics of Plasma / 5.4:
Exact Analytical Examples / 5.4.1:
A Case Study: Static Uniform Plasma / 5.5.1:
A Case Study: A Planar Shock Wave / 5.5.2:
Boost-Invariant Flow / 5.6:
Large Proper Time Behaviour / 5.7:
The AdS/CFT Analysis / 5.7.1:
Perfect Fluid Geometry / 5.7.2:
Plasma Dynamics Beyond Perfect Fluid / 5.8:
Interlude: Hydrodynamics Redux / 5.9:
Plasma Dynamics Beyond Hydrodynamics / 5.10:
Dynamics at Small Proper Time / 5.11:
The Absence of a Scaling Variable / 5.11.1:
The Existence of a Regular Initial Condition / 5.11.2:
The Classification of Possible Initial Conditions / 5.11.3:
An Analysis of Some Aspects of the Small Proper Time Behaviour of ?(?) / 5.11.4:
Conclusions / 5.12:
Appendix
Fluid Dynamics from Gravity / 6:
Quantum Gravity / 6.1:
Universal Implications / 6.1.2:
QCD / 6.1.3:
Fluid Dynamics / 6.1.4:
Background / 6.2:
Conformal Fluid Dynamics / 6.2.1:
Gravity in the Bulk / 6.2.2:
Fluid/Gravity Map / 6.2.3:
Construction of Bulk Metric and Boundary Stress Tensor / 6.3:
0th Order / 6.3.1:
1st Order / 6.3.2:
Solution to Second Order / 6.4:
The Spacetime Geometry Dual to Fluids / 6.4.1:
Summary / 6.5:
The Gauge-Gravity Duality and Heavy Ion Collisions / 7:
The Wake of a Quark / 7.1:
Jet Correlations at RHIC / 7.1.1:
A Holographic Computation / 7.1.2:
Entropy Production / 7.2:
AdS/CFT on the Brane / 8:
Braneworlds in AdS Spacetime / 8.1:
RS Models / 8.2.1:
Cosmology / 8.2.2:
View from the Brane / 8.3:
Geometrical Holography / 8.3.1:
Does AdS/CFT Play Any Role in Braneworld? / 8.4:
Single-Brane Model / 8.4.1:
Two-Brane Model / 8.4.2:
Gradient Expansion Method / 8.5:
Single Brane Model (RS2) / 8.6:
Einstein Gravity at Lowest Order / 8.6.1:
AdS/CFT Emerges / 8.6.2:
Two-Brane Model (RS1) / 8.7:
Scalar-Tensor Theory Emerges / 8.7.1:
AdS/CFT in Two-Brane System? / 8.7.2:
The Answers / 8.8:
AdS/CFT in Dilatonic Braneworld / 8.8.1:
Dilatonic Braneworld / 8.9.1:
AdS/Radion Correspondence / 8.9.2:
AdS/CFT and KK Corrections: Single-Brane Cases / 8.9.3:
Condensed Matter and the AdS/CFT Correspondence / 8.10:
Condensed Matter and AdS/CFT / 9:
Model Systems and Their Critical Theories / 9.1:
Coupled Dimer Antiferromagnets / 9.2.1:
Deconfined Criticality / 9.2.2:
Graphene / 9.2.3:
Finite Temperature Crossovers / 9.3:
Quantum Critical Transport / 9.4:
Exact Results for Quantum Critical Transport / 9.5:
Hydrodynamic Theory / 9.6:
Relativistic Magnetohydrodynamics / 9.6.1:
Dyonic Black Hole / 9.6.2:
Results / 9.6.3:
d-wave Superconductors / 9.7:
Dirac Fermions / 9.7.1:
Time-Reversal Symmetry Breaking / 9.7.2:
Nematic Ordering / 9.7.3:
Metals / 9.8:
Field Theories / 9.8.1:
Symmetries / 9.8.2:
Scaling Theory / 9.8.3:
Large N Expansion / 9.8.4:
Introduction to Holographic Superconductors / 9.8.5:
Superconductivity / 10.1:
A Gravitational Dual / 10.2:
Probe Limit / 10.3:
Condensate / 10.3.1:
Conductivity / 10.3.2:
Full Solution with Backreaction / 10.4:
Reformulation of the Conductivity / 10.4.1:
Zero Temperature Limit / 10.5:
Adding Magnetic Fields / 10.5.1:
London Equation / 10.6.1:
Correlation Length / 10.6.2:
Vortices / 10.6.3:
Recent Developments / 10.7:
Conclusions and Open Problems / 10.8:
Open Problems / 10.8.1:
Flavor Superconductivity and Superfluidity / 11:
String Motivation / 11.1:
Condensed Matter Motivation / 11.1.2:
Superconductivity and Holography / 11.2:
Basics of Superconductivity and Our Field Theory Idea / 11.2.1:
Holographic Realization / 11.2.2:
Holographic Setup / 11.3:
Flavor from Intersecting Branes / 11.3.1:
Background and Brane Configuration / 11.3.2:
DBI Action and Equations of Motion / 11.3.3:
D-Brane Thermodynamics and Spectrum / 11.4:
Baryon Chemical Potential / 11.4.1:
Isospin Chemical Potential / 11.4.2:
Instabilities and the New Phase / 11.4.3:
Signatures of Super-Something / 11.5:
Thermodynamics of the Broken Phase / 11.5.1:
Fluctuations in the Broken Phase / 11.5.2:
Conductivity and Spectrum / 11.5.3:
Meissner-Ochsenfeld-Effect / 11.5.4:
Interpretation and Conclusion / 11.6:
String Theory Picture / 11.6.1:
Outlook / 11.6.2:
Holographic Torsion and the Prelude to Kalb-Ramond Superconductivity / 12:
Introduction and Summary of the Results / 12.1:
Torsion as the Non-trivial Magnetic Field of Gravity / 12.2:
Details on the the 3 + 1-Split Formalism / 12.2.1:
The Analog of ?-Angle in Gravity / 12.3.1:
Torsion and the Magnetic Field of Gravity / 12.3.2:
The Nieh-Yan Models / 12.4:
General Aspects / 12.4.1:
The 3 + 1-Split of the Pseudoscalar Nieh-Yan Model / 12.4.2:
The Torsion Domain Wall / 12.5:
The Gravity Dual of Parity Symmetry Breaking / 12.6:
Physics in the Bulk: The Superconductor Analogy / 12.7:
Torsion Domain Wall Versus Abrikosov Vortex / 12.7.1:
Domain Wall Condensation / 12.7.2:
Index / 12.8:
Introduction to the AdS/CFT Correspondence / Part I:
Introduction to Anti de Sitter Black Holes / 1:
Spacetimes of Constant Curvature / 1.1:
42.

図書

図書
edited by Martin Wirsing
出版情報: Amsterdam ; Tokyo : North-Holland Pub. Co., 1987  xii, 453 p. ; 24 cm
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43.

図書

図書
Peter J. Blau
出版情報: New York : Marcel Dekker, c1996  vii, 399 p. ; 24 cm
シリーズ名: Mechanical engineering ; 100
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目次情報: 続きを見る
Foreword
Preface
Introduction / Chapter 1:
World of Frictional Phenomena: Great and Small / 1.1:
Historical Background / 1.2:
Traditional Introductions to Solid Friction / 1.3:
Approach of This Book / 1.4:
References
Introductory Mechanics Approaches to Solid Friction / Chapter 2:
Basic Definitions of Friction Quantities / 2.1:
Tipping and Onset of Slip / 2.2:
Introductory Friction Problems / 2.3:
Case 1. Ladder against a Wall / 2.3.1:
Case 2. Speed of a Skier / 2.3.2:
Case 3. Motorcycle Accident / 2.3.3:
Case 4. Angle of Bank to Prevent Sliding of an Automobile on a Curve under Wet or Dry Conditions / 2.3.4:
Case 5. Friction Coefficient Required to Avoid Sliding on an Unbanked Curve in the Road / 2.3.5:
Friction in Simple Machine Components / 2.4:
Wedge-Based Mechanisms / 2.4.1:
Pivots, Collars, and Disks / 2.4.2:
Belts and Ropes / 2.4.3:
Screws / 2.4.4:
Shafts and Journal Bearings / 2.4.5:
Rolling Friction / 2.5:
Friction in Gears / 2.6:
Further Reading
Measuring Friction in the Laboratory / Chapter 3:
Classification of Tribometers / 3.1:
Specimen Preparation and Cleaning / 3.2:
Design and Selection of Friction-Testing Methods / 3.3:
Static Friction / 3.3.1:
Sliding Friction / 3.3.2:
Tests of Flexible Surfaces / 3.3.3:
Standards / 3.3.5:
Specialized Friction Tests for Basic and Applied Research / 3.4:
Nanoscale Friction / 3.4.1:
Microscale Ball-on-Flat Tests / 3.4.2:
Friction of a Fiber within a Composite / 3.4.3:
Multidirectional Tribometers / 3.4.4:
Friction of Impacting Spheres / 3.4.5:
Pendulum-Based Devices / 3.4.6:
Friction Measurement Using Precision Chains / 3.4.7:
Piston Ring and Cylinder Bore Friction / 3.4.8:
Friction of Brake Linings / 3.4.9:
Tire/Road Surface Testing / 3.4.10:
Walkway Friction Testing / 3.4.11:
Metalworking / 3.4.12:
Friction of Rock / 3.4.13:
Friction of Currency / 3.4.14:
Friction Sensing and Recording / 3.5:
Designing Friction Experiments / 3.6:
Appendix
Fundamentals of Sliding Friction / Chapter 4:
Macrocontact, Microcontact, and Nanocontact / 4.1:
Static Friction and Stick-Slip / 4.2:
Models for Sliding Friction / 4.3:
Plowing Models / 4.3.1.1:
Adhesion, Junction Growth, and Shear Models / 4.3.1.2:
Plowing with Debris Generation / 4.3.1.3:
Plowing with Adhesion / 4.3.1.4:
Single-Layer Shear Models / 4.3.1.5:
Multiple-Layer Shear Models / 4.3.1.6:
Molecular Dynamics Models / 4.3.1.7:
Stimulus-Response Dynamical Friction Models / 4.3.1.8:
Ultralow Friction and "Superlubricity" / 4.3.1.9:
Selecting Friction Models / 4.3.1.10:
Phenomenological, Graphical, and Statistical Approaches / 4.3.2:
Friction Models That Include Wear / 4.3.3:
Frictional Heating / 4.4:
Solid Friction of Materials / Chapter 5:
Friction of Wood, Leather, and Stone / 5.1:
Friction of Metals and Alloys / 5.2:
Friction of Glasses and Ceramics / 5.3:
Friction of Polymers / 5.4:
Friction of Carbon Materials Including Diamond / 5.5:
Friction of Ice / 5.6:
Friction of Treated Surfaces / 5.7:
Friction of Particle Aggregates / 5.8:
Lubrication to Control Friction / Chapter 6:
Lubrication by Liquids and Greases / 6.1:
Liquid Lubrication / 6.1.1:
Composition of Liquid Lubricants / 6.1.2:
Friction Polymers / 6.1.2.1:
Lubricating Characteristics of Ultrathin Layers / 6.1.2.2:
Ionic Liquid Lubricants / 6.1.2.3:
Grease Lubrication / 6.1.3:
Liquid Crystal Lubricants / 6.1.3.1:
Lubrication by Solids / 6.2:
Role of Lamellar Crystal Structures / 6.2.1:
Simplified Models for Solid Lubrication / 6.2.2:
Graphite and Molybdenum Disulfide / 6.2.3:
Solid Lubrication by Powders / 6.2.4:
Engineered Self-Lubricating Materials / 6.3:
Effects of Tribosystem Variables on Friction / Chapter 7:
Effects of Surface Finish / 7.1:
Effects of Load and Contact Pressure / 7.2:
Effects of Sliding Velocity / 7.3:
Effects of Type of Sliding Motion / 7.4:
Effects of Temperature / 7.5:
Effects of Surface Films and Chemical Environments / 7.6:
Stiffness and Vibration / 7.7:
Combined Effects of Several Variables / 7.8:
Running-In and Other Friction Transitions / Chapter 8:
Understanding and Interpreting Friction Transitions / 8.1:
Friction Transitions during Running-In / 8.2:
Analysis of Running-In Behavior / 8.2.1:
Modeling of Running-In / 8.2.2:
Monitoring and Developing Running-In Procedures / 8.2.3:
Friction Process Diagrams / 8.2.4:
Fluctuations in Friction Force / 8.2.5:
Applications of Friction Technology / Chapter 9:
Applications in Transportation Systems / 9.1:
Friction in Brakes / 9.1.1:
Brake Materials / 9.1.1.1:
Brake Terminology and Jargon / 9.1.1.2:
Aircraft Brakes / 9.1.1.3:
Friction in Tires / 9.1.2:
Tire Rolling Resistance / 9.1.2.1:
Friction in Internal Combustion Engines / 9.1.3:
Friction in Bearings and Gears / 9.2:
Sliding Bearings / 9.2.1:
Gears / 9.2.2:
Friction in Sliding Seals / 9.3:
Friction in Manufacturing Processes / 9.4:
Friction Cutting / 9.4.1:
Machining of Metals / 9.4.2:
Drawing and Rolling / 9.4.3:
Friction Welding, Friction Stir Processing, and Friction Drilling / 9.4.4:
Friction Welding / 9.4.4.1:
Friction Stir Welding, Friction Stir Processing, and Friction Drilling / 9.4.4.2:
Friction in Biomedical Applications / 9.5:
Friction of Skin / 9.5.1:
Friction in Contact Lenses / 9.5.2:
Friction in Artificial Joints / 9.5.3:
Friction in Stents / 9.5.4:
Other Applications of Friction Science / 9.6:
Friction of Flooring / 9.6.1:
Friction in Cables / 9.6.2:
Friction in Fasteners, Joints, and Belts / 9.6.3:
Friction in Particle Assemblages / 9.6.4:
Friction in Microtribology and Nanotribology / 9.6.5:
Amusement Park Rides / 9.6.6:
Conclusion / 9.7:
Index to Static and Kinetic Friction Coefficients
Subject Index
Foreword
Preface
Introduction / Chapter 1:
44.

図書

図書
von Gustav Ehrismann
出版情報: München : C.H. Beck, 1918-  v. ; 27 cm
シリーズ名: Handbuch des deutschen Unterrichts an höheren Schulen ; 6. Bd., T. 1-2
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45.

図書

図書
Goos, Gerhard, 1937- ; Hartmanis, Juris ; Loeckx, Jacques, 1931-
出版情報: Berlin ; New York : Springer-Verlag, 1974  619 p. ; 25 cm
シリーズ名: Lecture notes in computer science ; 14
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46.

図書

図書
David J. Duke, Ivan Herman, M. Scott Marshall
出版情報: Berlin : Springer, c1999  xii, 254 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1591
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PREMO: A Standard for Distributed Multimedia
Introduction / 1.1:
What PREMO Is / 1.1.1:
What PREMO Isn't / 1.1.2:
Formal Description Techniques and PREMO / 1.2:
Structure of the Book / 1.3:
Typographical Conventions / 1.4:
Graphical Conventions / 1.5:
An Overview of PREMO
The Structure of PREMO / 2.1:
The PREMO Object Model / 2.3:
Overview / 2.3.1:
From Language Bindings to Environment Bindings / 2.3.2:
Object References / 2.3.3:
Active Objects / 2.3.4:
Operation Dispatching / 2.3.5:
Attributes / 2.3.6:
Non-object Data Types / 2.3.7:
The Foundation Component / 2.4:
Structures, Services, and Types / 2.4.1:
Inter-Object Communication / 2.4.2:
Synchronization / 2.4.3:
Time / 2.4.4:
Property Management / 2.4.5:
Object Factories / 2.4.6:
The Multimedia Systems Services Component / 2.5:
The Paradigm of Media Networks / 2.5.1:
Virtual Resources / 2.5.2:
Stream Control / 2.5.3:
Virtual Devices / 2.5.4:
Virtual Connections / 2.5.5:
Higher-Levels of Organization: Groups and Logical Devices / 2.5.6:
Working in Unison / 2.5.7:
The Modelling, Rendering, and Interaction Component / 2.6:
Object-Oriented Rendering / 2.6.1:
Primitives / 2.6.2:
Modelling and Rendering Devices / 2.6.3:
Coordination / 2.6.4:
Closing Remarks / 2.7:
The Fundamentals of PREMO
Basic Concepts / 3.1:
PREMO Objects and Object Types / 3.2.1:
Non-object Types / 3.2.2:
Object Identity and Object References / 3.2.4:
Operations / 3.3:
Subtyping / 3.4:
Inheritance / 3.5:
Protected Operations / 3.6:
Operation Selection, and Casting / 3.7:
Operation Request Modes / 3.8:
Exceptions / 3.9:
The Object and Object Reference Lifecycle / 3.10:
The Environment Binding / 3.11:
General Implementation Issues
Implementation Choices / 4.1:
Implementation Language / 4.1.1:
Implementation Environment / 4.1.2:
PREMO Specifications in Java and Java RMI / 4.2:
Constraints on the Specification Details / 4.2.1:
Registering Server Objects / 4.2.2:
PREMO Non-object Types / 5.1:
Basic Data Types / 5.2.1:
Constructed Data Types / 5.2.2:
Top Layer of the PREMO Object Hierarchy / 5.2.3:
The PREMOObject Interface / 5.3.1:
Simple PREMO Objects / 5.3.2:
Event Structures / 5.3.2.1:
Constraint Structures / 5.3.2.2:
Callbacks / 5.3.3:
Enhanced PREMO Objects / 5.3.4:
Enhanced PREMO Objects as Service Objects / 5.3.4.1:
Top Layer of PREMO / 5.3.4.2:
General Utility Objects / 5.4:
Event Management / 5.4.1:
The PREMO Event Model / 5.4.1.1:
The Event Handler Object / 5.4.1.2:
Synchronization Points / 5.4.1.3:
Finite State Machines: Controller Objects / 5.4.2:
Detailed Specification of a Controller / 5.4.2.1:
Activity of Controllers / 5.4.2.2:
Time Objects / 5.4.3:
General Notions / 5.4.3.1:
Specification of the PREMO Time Objects / 5.4.3.2:
Synchronization Facilities / 5.5:
Synchronizable Objects / 5.5.1:
Overview: Event-Based Synchronization / 5.5.1.1:
State Transition Monitoring / 5.5.1.2:
Detailed Specification of the Synchronizable Object / 5.5.1.3:
Synchronizable Objects as Callbacks / 5.5.1.4:
Time and Synchronizable Objects / 5.5.2:
Stop-Watch and Progression / 5.5.2.1:
Time and Progression Space / 5.5.2.2:
Reference Point Specifications in Time / 5.5.2.3:
Combining TimeSynchronizable Objects: Time Slaves / 5.5.3:
Time-Lines / 5.5.4:
Negotiation and Configuration Management / 5.6:
Property Inquiry Objects / 5.6.1:
Constraining Properties / 5.6.3:
Dynamic Change of Properties / 5.6.4:
Interaction among Properties / 5.6.5:
Some Conclusions on the Negotiation Facilities / 5.6.6:
Creation of Service Objects / 5.7:
Generic Factory Objects / 5.7.1:
Factory Finders / 5.7.2:
Use of Factories and Factory Finders / 5.7.3:
Multimedia Systems Services Component
Configuration Objects / 6.1:
Format Objects / 6.2.1:
Transport and Media Stream Protocol Objects / 6.2.2:
Quality of Service Descriptor Objects / 6.2.3:
The StreamControl Object / 6.3:
SyncStreamControl Objects / 6.3.2:
Property Control of Configurations / 6.4:
Resource and Configuration Management / 6.4.2:
Monitoring Resource Behaviour and Quality of Service Violations / 6.4.3:
Configuring Devices / 6.5:
Global Configuration / 6.5.1.1:
Port Configurations / 6.5.1.2:
Examples of Virtual Devices / 6.5.2:
Simple Media Devices / 6.5.2.1:
Transformer Devices / 6.5.2.2:
Detailed Specification of Virtual Connections / 6.6:
Examples of Virtual Connections / 6.6.3:
Multicast Connections / 6.6.4:
Groups / 6.7:
Logical Devices / 6.8:
The Role of Primitives in PREMO / 7.1:
The Hierarchy in Overview / 7.2.2:
Captured Primitives / 7.2.3:
Form Primitives / 7.2.4:
Tactile Primitives / 7.2.5:
Modifier Primitives / 7.2.6:
Wrapper Primitives / 7.2.7:
Tracer Primitives / 7.2.8:
Structured Primitives / 7.2.9:
Aggregate Primitives / 7.2.9.1:
TimeComposite / 7.2.9.2:
Reference Primitives / 7.2.10:
Coordinate Spaces / 7.3:
Coordinate / 7.3.1:
TimeLocation / 7.3.2:
Colour / 7.3.3:
Devices for Modelling, Rendering, and Interaction / 7.4:
MRI_Format / 7.4.1:
Efficiency Measures / 7.4.2:
MRI Device / 7.4.3:
Modeller / 7.4.4:
Renderer / 7.4.5:
MediaEngine / 7.4.6:
Input Devices, and Routing / 7.5:
InputDevice / 7.5.1:
Router / 7.5.2:
The Scene Database / 7.6:
Management / 7.7:
Allocation / 7.7.2:
Detailed Java Specifications of the PREMO Objects / 7.7.3:
Foundation Objects / 8.1:
Enumerations / 8.2.1:
Additional Data Types / 8.2.2:
Top Level of PREMO Hierarchy / 8.2.3:
Structures / 8.2.4:
Controllers / 8.2.5:
Sychronization Objects / 8.2.5.3:
Multimedia Systems Services / 8.2.7:
Structures and Additional Data Types / 8.3.1:
Virtual Resource / 8.3.3:
Virtual Device / 8.3.6:
Group / 8.3.7:
Logical Device / 8.3.9:
Objects for Coordinate Spaces / 8.4:
Coordinate Object / 8.4.1.1:
Colour Object / 8.4.1.2:
TimeLocation Object / 8.4.1.3:
Name Object / 8.4.2:
Objects for Media Primitives / 8.4.3:
Primitive Object / 8.4.3.1:
Captured Object / 8.4.3.2:
Primitives with Spatial and/or Temporal Form / 8.4.3.3:
Form Primitives for Audio Media Data / 8.4.3.4:
Form Primitives for Geometric Media Data / 8.4.3.5:
Primitives for the Modification of Media Data / 8.4.3.6:
Modifier Primitives for Audio Media Data / 8.4.3.7:
Modifier Primitives for Structural Aspects of Media Data / 8.4.3.8:
Modifier Primitives for Visual Aspects of Media Data / 8.4.3.9:
Organising Primitives into Structures / 8.4.3.10:
Organising Media Data within Time / 8.4.3.11:
Objects for Describing Properties of Devices / 8.4.4:
MRI_Format Object / 8.4.4.1:
EfficiencyMeasure Object / 8.4.4.2:
Processing Devices for Media Data / 8.4.5:
MRI_Device Object / 8.4.5.1:
Modeller Object / 8.4.5.2:
Renderer Object / 8.4.5.3:
MediaEngine Object / 8.4.5.4:
Scene Object / 8.4.6:
Objects for Supporting Interaction / 8.4.7:
InputDevice Object / 8.4.7.1:
Router Object / 8.4.7.2:
Coordinator Object / 8.4.8:
Selected Implementation Issues
The PREMO Environment / A.1:
Activity of Objects / A.1.1:
Top Level of the PREMO Hierarchy / A.1.2:
Distribution and the Creation of PREMO Objects / A.1.3:
Specific Part 3 Objects / A.2:
Virtual Connection Objects / A.2.1:
Devices on the Same JVM: Piped Streams / A.2.1.1:
Devices on Different JVM's: Sockets / A.2.1.2:
References / A.2.1.3:
Index
PREMO: A Standard for Distributed Multimedia
Introduction / 1.1:
What PREMO Is / 1.1.1:
47.

図書

図書
Ramjee Prasad
出版情報: Boston, Mass : Artech House, 1998  xix, 637 p. ; 24 cm
シリーズ名: The Artech House mobile communications series
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Preface
Acknowledgments
Introduction / Chapter 1:
An Overview / 1.1:
Universal Wireless Personal Communications / 1.2:
UMTS Objectives and Challenges / 1.2.1:
ACTS Program / 1.2.2:
Standardization of UMTS / 1.2.3:
Wireless Broadband Communication Systems / 1.3:
Millimeter Waves / 1.3.1:
Preview of the Book / 1.4:
References
Radio Propagation Aspects / Chapter 2:
Large-Scale Propagation Model / 2.1:
Medium-Scale Propagation Model / 2.3:
Sum of Lognormal Signals / 2.3.1:
Small-Scale Propagation Model / 2.4:
Sum of Exponential Signals / 2.4.1:
Rician Distribution / 2.4.2:
Nakagami Distribution / 2.4.3:
Combined Rayleigh Fading and Lognormal Shadowing / 2.5:
Fading Envelope Statistics / 2.6:
LCR / 2.6.1:
Average Fade Duration / 2.6.2:
Wireless Channel Classification / 2.7:
Coherence Bandwidth and Delay Spread / 2.7.1:
Coherence Time and Doppler Spread / 2.7.2:
Wideband Characteristics / 2.8:
Conclusions / 2.9:
Random Variable Terms / 2.9.1:
Appendix 2A
Cellular Concepts / Chapter 3:
Frequency Reuse / 3.1:
Co-channel Interference / 3.3:
Carrier-to-Interference Ratio / 3.4:
Handover/Handoff Mechanism / 3.5:
Cell Splitting / 3.6:
Types of Cellular Networks / 3.7:
Macrocellular Radio Networks / 3.7.1:
Microcellular Radio Networks / 3.7.2:
Picocellular Radio Networks / 3.7.3:
Macrocellular Systems / Chapter 4:
Co-channel Interference Probability / 4.1:
Rayleigh Fading Only / 4.2.1:
Lognormal Shadowing Only / 4.2.2:
Rayleigh Fading Plus Lognormal Shadowing / 4.2.3:
Reuse Distance / 4.2.4:
Spectrum Efficiency / 4.2.5:
System Bandwidth / 4.2.6:
Correlated Shadowing Signals / 4.2.7:
Sectorized Cell Layouts / 4.3.1:
Co-channel Interference, Thermal, Narrowband and Broadband Man-made Noise / 4.3.2.:
Performance Model / 4.4.1:
Co-channel Interference Plus Narrowband Class A Noise / 4.4.2:
Co-channel Interference Plus Broadband Class B Noise / 4.4.3:
Co-channel Interference and Narrowband Plus Broadband Impulsive Class C Noise / 4.4.4:
Appendix 4A / 4.4.5:
Microcellular Systems / Chapter 5:
CIP / 5.1:
Propagation Model / 5.2.1:
Analytical Model / 5.2.2:
Co-channel Interference, Natural, and Man-made Noise Environment / 5.2.3:
Man-made Noise / 5.3.1:
Microcellular Mobile Radio Systems / 5.3.2:
DPSK Modulation Performance / 5.3.3:
Picocellular Systems / 5.3.4:
Propagation Measurements at 1.9 GHz for Wireless Communications / 6.1:
Propagation Measurements / 6.2.1:
Formulation of CIP / 6.2.2:
Computational Results / 6.2.3:
An Illustration to Evaluate a Picocell / 6.2.4:
Wideband Indoor Channel Measurements at 2.4, 4.75, and 11.5 GHz / 6.2.5:
The Indoor Radio Channel / 6.3.1:
Analytical Model for BEP Evaluation / 6.3.2:
Appendix 6A / 6.3.4:
Appendix 6B
Adaptive Equalization / Chapter 7:
Overview of Adaptive Equalization Techniques / 7.1:
DFE / 7.2.1:
Training Algorithms for Adaptive Equalization / 7.2.2:
Communication System Model / 7.3:
Transmitter / 7.3.1:
Multipath Channel Model / 7.3.2:
Receiver / 7.3.3:
Simulation Results / 7.4:
Description of Simulation / 7.4.1:
Numerical Results / 7.4.2:
Basic CDMA Concepts / 7.5:
Spread-Spectrum Multiple Access / 8.1:
DS / 8.2.1:
FH / 8.2.2:
TH / 8.2.3:
Chirp Spread Spectrum / 8.2.4:
Hybrid Systems / 8.2.5:
Design of Pseudonoise Sequences / 8.3:
Basics / 8.3.1:
PN Codes / 8.3.2:
Random Wave Approximation / 8.3.3:
Multiple Access Protocols / 8.3.4:
Classification of Multiple Access Protocols / 9.1:
Contentionless (Scheduling) Multiple Access Protocols / 9.2.1:
Contention (Random) Multiple Access Protocols / 9.2.2:
CDMA Protocols / 9.2.3:
Some Random Access Protocols / 9.3:
Slotted ALOHA / 9.3.1:
Unslotted Nonpersistent ISMA / 9.3.2:
Slotted Nonpersistent ISMA / 9.3.3:
Slotted 1-Persistent ISMA / 9.3.4:
Slotted ISMA With Collision Detection / 9.3.5:
Capture-Model / 9.4:
Slotted ALOHA With Capture / 9.4.1:
Unslotted Nonpersistent ISMA With Capture / 9.4.2:
Slotted Nonpersistent ISMA With Capture / 9.4.3:
Slotted 1-Persistent ISMA With Capture / 9.4.4:
Slotted Nonpersistent ISMA/CD With Capture / 9.4.5:
Slotted 1-Persistent ISMA/CD With Capture / 9.4.6:
Throughput Analysis Considering Rayleigh Fading, Lognormal Shadowing, and Near-Far Effect / 9.5:
Pure Rayleigh Fading / 9.5.1:
Pure Lognormal Shadowing / 9.5.2:
Combined Rayleigh Fading and Shadowing / 9.5.3:
Combined Shadowing and Near-Far Effect / 9.5.4:
Combined Rayleigh Fading, Shadowing, and Near-Far Effect / 9.5.5:
Comparison Between Slotted ALOHA, CSMA, and ISMA / 9.5.6:
Capture Probability and Throughput Analysis in a Rician/Rayleigh Environment Using BPSK Modulation / 9.6:
Channel Model / 9.6.1:
Capture Probability / 9.6.2:
Random Access Systems With Receiver Capture / 9.6.3:
Error Correction Coding / 9.6.4:
User Data Throughput / 9.6.5:
Cellular DS-CDMA System With Imperfect Power Control and Imperfect Sectorization / 9.6.6:
Cellular DS-CDMA / 9.7.1:
Capacity Analysis / 9.7.2:
Throughput and Delay Analysis / 9.7.3:
Results / 9.7.4:
Conclusions and Recommendations / 9.7.5:
OFDM / Chapter 10:
Concept of Parallel Transmission Scheme / 10.1:
History of OFDM Transmission / 10.3:
Configuration of OFDM Transmission System / 10.4:
Configuration of the Transmitter / 10.4.1:
Configuration of the Receiver / 10.4.2:
BEP / 10.5:
Multicarrier CDMA / 10.6:
DS-CDMA and MC-CDMA Systems / 11.1:
DS-CDMA System / 11.3.1:
MC-CDMA System / 11.3.2:
MC-CDMA System Design / 11.4:
BEP Lower Bound / 11.5:
BEP Lower Bound Equivalence / 11.5.1:
Combination of Time Domain and Multicarrier Modulation / 11.6:
Multicarrier DS-CDMA Scheme / 11.7.1:
MT-CDMA Scheme / 11.7.2:
System Features Comparison / 11.7.3:
Detection Strategies Comparison / 11.7.4:
BEP Comparison / 11.8:
Appendix 11A / 11.9:
Antenna Diversity / Chapter 12:
Antenna / 12.1:
BS Antennas / 12.2.1:
Antennas for Portables / 12.2.2:
Diversity and Combining Techniques / 12.3:
Diversity Techniques / 12.3.1:
Combining Techniques / 12.3.2:
Diversity in a Frequency Nonselective Fading Channel / 12.4:
Switched Diversity and Selection Diversity Output Signals / 12.4.1:
Two-Branch Diversity / 12.4.2:
Multiple Branch Diversity / 12.4.3:
Millimeter-Wave Communications / 12.5:
Frequency Nonselective Channel / 13.1:
Received Power Versus Distance / 13.2.1:
Outage Probability / 13.2.2:
Fade Duration / 13.2.3:
Discussion / 13.2.4:
Frequency Selective Channel / 13.3:
BEP Calculations / 13.3.1:
Influence of T[subscript RMS] on BEP / 13.3.2:
Comparison of PDP Types / 13.3.3:
Dynamic Channel Assignment and DECT / 13.4:
Channel Assignment / 14.1:
The Cellular Concept / 14.2.1:
Channel Allocation Schemes / 14.2.2:
DECT as a DCA-Based Mobile Radio System / 14.2.3:
The Influence of Delay in Channel Assignment Algorithms / 14.2.4:
Channel Scanning Method / 14.3:
Number of Free Channels at Setup / 14.3.2:
The Effect of Delay / 14.3.3:
Handovers / 14.3.4:
Air Interface Multiple Access Schemes for FPLMTS/IMT-2000/UMTS / 14.4:
Spectrum Issues / 15.1:
CDMA-Based Schemes / 15.2:
Carrier Spacing and Chip Rate / 15.2.1:
Modulation and Detection / 15.2.2:
Spreading and Scrambling Codes / 15.2.3:
Multirate / 15.2.4:
Power Control / 15.2.5:
Handover / 15.2.6:
Interfrequency Handover / 15.2.7:
Multiuser Detection and Other Interference Reduction Methods / 15.2.8:
Packet Data / 15.2.9:
TDMA-Based Schemes / 15.3:
Modulation / 15.3.1:
Carrier Spacing and Symbol Rate / 15.3.2:
Burst and Frame Structures / 15.3.3:
Training Sequence Design / 15.3.4:
Radio Resource Management / 15.3.5:
Hybrid CDMA/TDMA / 15.4:
OFDM-Based Schemes / 15.5:
Bandwidth / 15.5.1:
Frame Design / 15.5.2:
Coding, Interleaving, and Frequency Hopping / 15.5.3:
Uplink Synchronization / 15.5.4:
DCA / 15.5.6:
TDD / 15.6:
WBMC / 15.7:
Standardization and Frequency Bands / 16.1:
The Need for High Data Rates / 16.3:
Services and Applications / 16.4:
Antennas and Batteries / 16.5:
Safety Considerations / 16.6:
ATM-Based Wireless (Mobile) Broadband Multimedia Systems / 16.7:
Fragments / 16.7.1:
OFDM-Based Wireless ATM Transmission System / 16.8:
System Configuration / 17.1:
Transmitter Configuration / 17.2.1:
Receiver Configuration / 17.2.2:
SATCOM / 17.3:
Potential Benefits of ATM Over SATCOM / 18.1:
Key Issues With Respect to the Operation of ATM Over SATCOM / 18.1.2:
Understanding the Traffic Profile and Its Relationship to ATM-SATCOM Links / 18.1.3:
Conceptual Analysis of Broadband Networking Via IP/ATM Over EHF SATCOM Using CDMA / 18.2:
The ATM-SATCOM Protocol Stack / 18.2.1:
CDMA for ATM-SATCOM Links / 18.2.2:
Capacity as a Function of the User Service Distribution / 18.2.3:
Error Correction and Control for ATM-SATCOM Links / 18.3:
Performance of TCP/IP Over ATM-SATCOM and Importance of Error Control and Correction / 18.3.1:
A Concept for Error Control and Correction Tailored to Service Class / 18.3.2:
A CPCS-Based Truncated SRQ Protocol for AAL 5 / 18.3.3:
FEC Options for ATM Over SATCOM / 18.3.4:
SATCOM Efficiency / 18.4:
About the Author / 18.5:
Index
Preface
Acknowledgments
Introduction / Chapter 1:
48.

図書

図書
出版情報: London : Whitaker, c1965-c1986  v. ; 30 cm
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49.

図書

図書
Jürgen Lind
出版情報: Berlin : Springer, c2001  xiv, 286 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1994 . Lecture notes in artificial intelligence
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Foreword
List of Figures
List of Process Models
Introduction / 1:
Agents, Multiagent Systems and Software Engineering / 2:
Intelligent Agents / 2.1:
What's an Agent, anyway? / 2.1.1:
Roles / 2.1.2:
Architectures / 2.1.3:
Agents, Roles and Architectures / 2.1.4:
Systems of Agents / 2.2:
Interaction / 2.2.1:
The Social Dimension / 2.2.2:
Related Fields in Computer Science / 2.3:
Agent-Oriented Software Engineering / 2.4:
Aspects of Programming Paradigms / 2.4.1:
A Historic Perspective / 2.4.2:
The Bottom Line / 2.4.3:
Where Next? / 2.4.4:
Summary / 2.5:
Basic Concepts in Software Engineering / 3:
Cognitive Aspects of Software Engineering / 3.1:
Basic Human Information Processing / 3.1.1:
Software Engineering as a General Design Task / 3.1.2:
Designs and Models / 3.1.3:
A General Model of Engineering / 3.1.4:
The Basic Engineering Cycle / 3.1.5:
Basic Skills in Software Engineering / 3.1.6:
Requirements for Software Engineering Support / 3.2:
AGeneral Model of Software Engineering / 3.3:
Software Engineering Product Models / 3.4:
AGeneric Product Model / 3.4.1:
Software Blueprints: The Unified Modeling Language / 3.4.2:
Software Engineering Process Models / 3.5:
Classical Process Models / 3.5.1:
Novel Trends in Software Engineering / 3.5.2:
Development Methods for Multiagent Systems / 3.5.3:
Discussion / 3.5.4:
Quality Management and Systematic Learning / 3.6:
The Quality Improvement Paradigm / 3.6.1:
Experience Factory / 3.6.2:
The Conceptual Framework of Massive / 3.7:
The Foundations of Massive / 4.1:
Knowbbles / 4.2:
Views / 4.3:
What and Why? / 4.3.1:
View-Oriented Analysis / 4.3.2:
A View System for Multiagent Systems / 4.3.3:
Iterative View Engineering / 4.4:
Putting It All Together / 4.5:
Massive Views / 4.6:
A Brief Introduction to Train Coupling- and Sharing (TCS) / 5.1:
Environment View / 5.2:
Developers Perspective / 5.2.1:
Systems Perspective / 5.2.2:
Task View / 5.3:
Use Case Analysis / 5.3.1:
Functional Requirements / 5.3.2:
Non functional Requirements / 5.3.3:
Role View / 5.4:
Role Definition / 5.4.1:
Role Assignment / 5.4.2:
Interaction View / 5.5:
Intent Layer / 5.5.1:
Protocol Layer / 5.5.2:
Transport Layer / 5.5.3:
Society View / 5.6:
Characterization of Social Systems / 5.6.1:
Designing Social Systems / 5.6.2:
Architecture View / 5.7:
System Architecture / 5.7.1:
The Architectural Feature Space / 5.7.2:
Agent Architecture / 5.7.3:
System View / 5.8:
User Interface Design / 5.8.1:
Exception Handling / 5.8.2:
Performance Engineering / 5.8.3:
Deployment / 5.8.4:
Further Case Studies / 5.9:
The Teamwork Library / 6.1:
ArchitectureView / 6.1.1:
Personal Travel Assistant: Intermodal Route Planning / 6.1.7:
EnvironmentView / 6.2.1:
Conclusion / 6.2.2:
Toolkits for Agent-Based Applications / A:
SIF / A.1:
ZEUS / A.2:
Swarm / A.3:
Basic Problem Solving Capabilities of TCS Agents / A.4:
Planing Algorithm for a Single Task / B.1:
Plan Integration Operator / B.2:
Decision Functions / B.3:
Plan Execution Simulation / B.4:
Protoz Specification of the Contract-Net Protocol / C:
Bibliography
Glossary
Index
Foreword
List of Figures
List of Process Models
50.

図書

図書
Michael Jaedicke
出版情報: Berlin : Springer, c2001  xi, 161 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2169
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Introduction / Chapter 1:
ORDBMS: The Next Great Wave / 1.1:
Extensible DBMS / 1.2:
Overview / 1.3:
Background on User-Defined Routines / Chapter 2:
User-Defined Routines / 2.1:
Definition, Implementation, and Execution of New UDR / 2.2:
User-Defined Scalar Functions / 2.2.1:
User-Defined Aggregate Functions / 2.2.2:
User-Defined Table Functions / 2.2.3:
User-Defined Functions and Large Objects / 2.2.4:
Comparison with Stored Procedures / 2.3:
Optimization of Queries with UDF / 2.4:
Parallel Processing of User-Defined Functions / Chapter 3:
Limits of Current ORDBMS / 3.1:
Parallel Processing of UDF / 3.3:
Two Step Parallel Aggregation of UDAF / 3.3.1:
Partitioning Classes and Partitionable Functions / 3.3.2:
Parallel Sorting as a Preprocessing Step for UDAF / 3.3.3:
Extended Syntax for Function Registration / 3.3.4:
Example Applications / 3.4:
The UDAF Most_Frequent / 3.4.1:
The UDSF Running_Average / 3.4.2:
The UDAF Median / 3.4.3:
Further Applications / 3.4.4:
Plausibility Considerations Regarding Performance / 3.5:
Related Work / 3.6:
Summary / 3.7:
Intra-function Parallelism / Chapter 4:
Compose/Decompose Operators for Intra-function Parallelism / 4.1:
Compose/Decompose Operators / 4.2.1:
Extensibility of Compose Operators by Combine Functions / 4.2.2:
Application of Intra-function Parallelism / 4.2.3:
Intra-function Parallelism for Function Pipelines / 4.2.4:
Experimental Performance Study / 4.3:
Experimental Scenario and Implementation / 4.3.1:
Performance Results / 4.3.2:
The Multi-operator Method / 4.4:
Performance Problems with Complex UDF in Current ORDBMS / 5.1:
The PBSM Algorithm as a Sophisticated UDP Implementation / 5.2.1:
The Multi-operator Method as a New Technique to Implement Complex UDF / 5.3:
The Multi-operator Method and Its Benefits / 5.3.1:
A Multi-operator Implementation of the PBSM Algorithm / 5.3.2:
Supporting the Multi-operator Method / 5.4:
Executing Query Execution Plans / 5.4.1:
Example for a Textual Specification of Query Execution Plans / 5.4.2:
Parallel Evaluation / 5.4.3:
Performance Evaluation / 5.5:
Experimental Scenario / 5.5.1:
User-Defined Table Operators / 5.5.2:
A Generalization Relationship for Row Types / 6.1:
Defining and Implementing UDTO / 6.2.2:
The Different Usages of the UDTO Concept / 6.2.3:
Parallel Processing of Procedural UDTO / 6.2.4:
Extension to Multiple Output Tables / 6.2.5:
Example Applications for UDTO / 6.3:
Computing a Spatial Join / 6.3.1:
Different UDTO for the Same Predicate / 6.3.2:
Computing the Median: An Aggregation Operator / 6.3.3:
A UDTO for a Complex Aggregation / 6.3.4:
Association Rule Mining / 6.3.5:
Summary and Conclusions / 6.4:
Implementation of UDTO / Chapter 7:
The MIDAS Prototype / 7.1:
Architectural Overview / 7.2.1:
Query Compilation and Execution / 7.2.2:
The MIDAS System Tables / 7.2.3:
UDSF in MIDAS / 7.2.4:
Implementation of SQL Macros / 7.3:
DDL Statements / 7.3.1:
SQL Macro Expansion in DML Statements / 7.3.2:
Expanding SQL Macros in Preprocessors and Middleware / 7.3.3:
Implementation of Procedural UDTO / 7.4:
Extensions to the SQL Compiler / 7.4.1:
Extensions to the Optimizer and the Parallelizer / 7.4.2:
Extensions to the Scheduler / 7.4.3:
Extensions to the Execution Engine / 7.4.4:
Extensions to Transaction Management / 7.4.5:
Implementation of Input and Output Tables / 7.4.6:
Optimization Issues for UDTO / 7.5:
UDTO and Implied Predicates / 7.5.1:
Estimating Costs and Selectivity of UDTO / 7.5.2:
Application of Traditional Optimization Rules / 7.5.3:
Using UDTO to Generate Alternative Execution Plans for UDF / 7.6:
Evaluation of the Implementation / 7.7:
Evaluation of SQL Macros / 7.7.1:
Evaluation of Procedural UDTO / 7.7.2:
Summary, Conclusions, and Future Work / 7.8:
Conclusions / 8.1:
Future Work / 8.3:
References
Appendix A
The Program sequential_invert / A.1:
The Program parallel_invert / A.2:
The Query Execution Plan for the Spatial Join with SQL Macro / A.3:
Introduction / Chapter 1:
ORDBMS: The Next Great Wave / 1.1:
Extensible DBMS / 1.2:
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