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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:
2.

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:
3.

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
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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:
4.

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
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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:
5.

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:
6.

図書

図書
Peter Y. Yu, Manuel Cardona
出版情報: New York ; Tokyo : Springer Verlag, 1999  xvi, 620 p. ; 25 cm
所蔵情報: loading…
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:
7.

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
所蔵情報: loading…
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:
8.

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:
9.

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:
10.

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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目次情報: 続きを見る
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:
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