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図書
図書
1. The art of writing reasonable organic reaction mechanisms. 2nd ed
Robert B. Grossman
出版情報: New York : Springer, c2003  xvi, 355 p. ; 25 cm
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Preface to the Student
Preface to the Instructor
The Basics / 1：
Structure and Stability of Organic Compounds / 1.1：
Conventions of Drawing Structures; Grossman's Rule / 1.1.1：
Lewis Structures; Resonance Structures / 1.1.2：
Molecular Shape; Hybridization / 1.1.3：
Aromaticity / 1.1.4：
Bronsted Acidity and Basicity / 1.2：
pK[subscript a] Values / 1.2.1：
Tautomerism / 1.2.2：
Kinetics and Thermodynamics / 1.3：
Getting Started in Drawing a Mechanism / 1.4：
Classes of Overall Transformations / 1.5：
Classes of Mechanisms / 1.6：
Polar Mechanisms / 1.6.1：
Free-Radical Mechanisms / 1.6.2：
Pericyclic Mechanisms / 1.6.3：
Transition-Metal-Catalyzed and -Mediated Mechanisms / 1.6.4：
Summary / 1.7：
Problems
Polar Reactions under Basic Conditions / 2：
Substitution and Elimination at C(sp[superscript 3])-X [sigma] Bonds, Part I / 2.1：
Substitution by the S[subscript N]2 Mechanism / 2.1.1：
[beta]-Elimination by the E2 and Elcb Mechanisms / 2.1.2：
Predicting Substitution vs. Elimination / 2.1.3：
Addition of Nucleophiles to Electrophilic [pi] Bonds / 2.2：
Addition to Carbonyl Compounds / 2.2.1：
Conjugate Addition; The Michael Reaction / 2.2.2：
Substitution at C(sp[superscript 2])-X [sigma] Bonds / 2.3：
Substitution at Carbonyl C / 2.3.1：
Substitution at Alkenyl and Aryl C / 2.3.2：
Metal Insertion; Halogen-Metal Exchange / 2.3.3：
Substitution and Elimination at C(sp[superscript 3])-X [sigma] Bonds, Part II / 2.4：
Substitution by the S[subscript RN]1 Mechanism / 2.4.1：
Substitution by the Elimination-Addition Mechanism / 2.4.2：
Substitution by the One-Electron Transfer Mechanism / 2.4.3：
[alpha]-Elimination; Generation and Reactions of Carbenes / 2.4.4：
Base-Promoted Rearrangements / 2.5：
Migration from C to C / 2.5.1：
Migration from C to O or N / 2.5.2：
Migration from B to C or O / 2.5.3：
Two Multistep Reactions / 2.6：
The Swern Oxidation / 2.6.1：
The Mitsunobu Reaction / 2.6.2：
Polar Reactions Under Acidic Conditions / 2.7：
Carbocations / 3.1：
Carbocation Stability / 3.1.1：
Carbocation Generation; The Role of Protonation / 3.1.2：
Typical Reactions of Carbocations; Rearrangements / 3.1.3：
Substitution and [beta]-Elimination Reactions at C(sp[superscript 3])-X / 3.2：
Substitution by the S[subscript N]1 and S[subscript N]2 Mechanisms / 3.2.1：
[beta]-Elimination by the E1 Mechanism / 3.2.2：
Electrophilic Addition to Nucleophilic C=C [pi] Bonds / 3.2.3：
Substitution at Nucleophilic C=C [pi] Bonds / 3.4：
Electrophilic Aromatic Substitution / 3.4.1：
Aromatic Substitution of Anilines via Diazonium Salts / 3.4.2：
Electrophilic Aliphatic Substitution / 3.4.3：
Nucleophilic Addition to and Substitution at Electrophilic [pi] Bonds / 3.5：
Heteroatom Nucleophiles / 3.5.1：
Carbon Nucleophiles / 3.5.2：
Pericyclic Reactions / 3.6：
Introduction / 4.1：
Classes of Pericyclic Reactions / 4.1.1：
Polyene MOs / 4.1.2：
Electrocyclic Reactions / 4.2：
Typical Reactions / 4.2.1：
Stereospecificity / 4.2.2：
Stereoselectivity / 4.2.3：
Cycloadditions / 4.3：
Regioselectivity / 4.3.1：
Sigmatropic Rearrangements / 4.3.3：
Ene Reactions / 4.4.1：
Free-Radical Reactions / 4.6：
Free Radicals / 5.1：
Stability / 5.1.1：
Generation from Closed-Shell Species / 5.1.2：
Chain vs. Nonchain Mechanisms / 5.1.3：
Chain Free-Radical Reactions / 5.2：
Substitution Reactions / 5.2.1：
Addition and Fragmentation Reactions / 5.2.2：
Nonchain Free-Radical Reactions / 5.3：
Photochemical Reactions / 5.3.1：
Reductions and Oxidations with Metals / 5.3.2：
Cycloaromatizations / 5.3.3：
Miscellaneous Radical Reactions / 5.4：
1,2-Anionic Rearrangements; Lone-Pair Inversion / 5.4.1：
Triplet Carbenes and Nitrenes / 5.4.2：
Transition-Metal-Mediated and -Catalyzed Reactions / 5.5：
Introduction to the Chemistry of Transition Metals / 6.1：
Conventions of Drawing Structures / 6.1.1：
Counting Electrons / 6.1.2：
Stoichiometric vs. Catalytic Mechanisms / 6.1.3：
Addition Reactions / 6.2：
Late-Metal-Catalyzed Hydrogenation and Hydrometallation (Pd, Pt, Rh) / 6.2.1：
Hydroformylation (Co, Rh) / 6.2.2：
Hydrozirconation (Zr) / 6.2.3：
Alkene Polymerization (Ti, Zr, Sc, and others) / 6.2.4：
Cyclopropanation, Epoxidation, and Aziridination of Alkenes (Cu, Rh, Mn, Ti) / 6.2.5：
Dihydroxylation and Aminohydroxylation of Alkenes (Os) / 6.2.6：
Nucleophilic Addition to Alkenes and Alkynes (Hg, Pd) / 6.2.7：
Conjugate Addition Reactions (Cu) / 6.2.8：
Reductive Coupling Reactions (Ti, Zr) / 6.2.9：
Pauson-Khand Reaction (Co) / 6.2.10：
Dotz Reaction (Cr) / 6.2.11：
Metal-Catalyzed Cycloaddition and Cyclotrimerization (Co, Ni, Rh) / 6.2.12：
Hydrogenolysis (Pd) / 6.3：
Carbonylation of Alkyl Halides (Pd, Rh) / 6.3.2：
Heck Reaction (Pd) / 6.3.3：
Coupling Reactions Between Nucleophiles and C(sp[superscript 2])-X: Kumada, Stille, Suzuki, Negishi, Buchwald-Hartwig, Sonogashira, and Ullmann Reactions (Ni, Pd, Cu) / 6.3.4：
Allylic Substitution (Pd) / 6.3.5：
Pd-Catalyzed Nucleophilic Substitution of Alkenes; Wacker Oxidation / 6.3.6：
Tebbe Reaction (Ti) / 6.3.7：
Propargyl Substitution in Co-Alkyne Complexes / 6.3.8：
Rearrangement Reactions / 6.4：
Alkene Isomerization (Rh) / 6.4.1：
Olefin and Alkyne Metathesis (Ru, W, Mo, Ti) / 6.4.2：
Elimination Reactions / 6.5：
Oxidation of Alcohols (Cr, Ru) / 6.5.1：
Decarbonylation of Aldehydes (Rh) / 6.5.2：
Mixed-Mechanism Problems / 6.6：
A Final Word
Index
Preface to the Student
Preface to the Instructor
The Basics / 1：
2.

図書
図書
2. An introduction to surface analysis by XPS and AES (: hbk ; : pbk)
John F. Watts, John Wolstenholme
出版情報: Chichester : Wiley, c2003  x, 212 p. ; 23 cm
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Preface
Acknowledgements
Electron Spectroscopy: Some Basic Concepts / 1：
Electron Spectrometer Design
The Electron Spectrum: Qualitative and Quantitative Interpretation
Compositional Depth Profiling / 1.1：
Applications of Electron Spectroscopy in Materials Science
Analysis of Surfaces
Comparison of XPS and AES with Other Analytical Techniques
Glossary / 1.2：
Bibliography
Notation
Auger Electron Energies / Appendix 1：
Spectroscopists' notation / Appendix 2：
Table of Binding Energies Accessible with AIK& Radiation
Index / 1.2.2：
X-ray notation
X-ray Photoelectron Spectroscopy (XPS) / 1.3：
Auger Electron Spectroscopy (AES) / 1.4：
Scanning Auger Microscopy (SAM) / 1.5：
The Depth of Analysis in Electron Spectroscopy / 1.6：
Comparison of XPS and AES/SAM / 1.7：
The Availability of Surface Analytical Equipment / 1.8：
The Vacuum System / 2：
The Sample / 2.2：
X-ray Sources for XPS / 2.3：
The twin anode X-ray source / 2.3.1：
X-ray monochromators / 2.3.2：
Charge compensation / 2.3.3：
The Electron Gun for AES / 2.4：
Electron sources / 2.4.1：
Analysers for Electron Spectroscopy / 2.5：
The cylindrical mirror analyser / 2.5.1：
The hemispherical sector analyser / 2.5.2：
Detectors / 2.6：
Channel electron multipliers / 2.6.1：
Channel plates / 2.6.2：
Small Area XPS / 2.7：
Lens-defined small area XPS / 2.7.1：
Source-defined small area analysis / 2.7.2：
XPS Imaging and Mapping / 2.8：
Serial acquisition / 2.8.1：
Parallel acquisition / 2.8.2：
Lateral Resolution in Small Area XPS / 2.9：
Angle Resolved XPS / 2.10：
Qualitative Analysis / 3：
Unwanted features in electron spectra / 3.1.1：
Data acquisition / 3.1.2：
Chemical State Information / 3.2：
X-ray photoelectron spectroscopy / 3.2.1：
Electron induced Auger electron spectroscopy / 3.2.2：
The Auger parameter / 3.2.3：
Chemical state plots / 3.2.4：
Shake-up satellites / 3.2.5：
Multiplet splitting / 3.2.6：
Plasmons / 3.2.7：
Quantitative Analysis / 3.3：
Factors affecting the quantification of electron spectra / 3.3.1：
Quantification in XPS / 3.3.2：
Quantification in AES / 3.3.3：
Compositional Depth Profilin / 4：
Non-destructive Depth Profiling Methods / 4.1：
Angle resolved electron spectroscopy / 4.1.1：
Elastic scattering / 4.1.1.1：
Compositional depth profiles by ARXPS / 4.1.1.2：
Recent advances in ARXPS / 4.1.1.3：
Variation of analysis depth with electron kinetic energy / 4.1.2：
Depth Profiling by Erosion with Noble Gas Ions / 4.2：
The sputtering process / 4.2.1：
Experimental method / 4.2.2：
Sputter yield and etch rate / 4.2.3：
Factors affecting the etch rate / 4.2.4：
Factors affecting the depth resolution / 4.2.5：
Calibration / 4.2.6：
Ion gun design / 4.2.7：
Mechanical Sectioning / 4.3：
Angle lapping / 4.3.1：
Ball cratering / 4.3.2：
Conclusions / 4.4：
Introduction / 5：
Metallurgy / 5.2：
Grain-boundary segregation / 5.2.1：
Electronic structure of metallic alloys / 5.2.2：
Surface engineering / 5.2.3：
Corrosion Science / 5.3：
Ceramics and Catalysis / 5.4：
Microelectronics and Semiconductor Materials / 5.5：
Mapping semiconductor devices using AES / 5.5.1：
Depth profiling of semiconductor materials / 5.5.2：
Ultra-thin layers studied by ARXPS / 5.5.3：
Polymeric Materials / 5.6：
Adhesion Science / 5.7：
X-ray Analysis in the Electron Microscope / 6：
Electron Analysis in the Electron Microscope / 6.2：
Mass Spectrometry for Surface Analysis / 6.3：
Ion Scattering / 6.4：
Concluding Remarks / 6.5：
Appendices
Table of Binding Energies Accessible with AlKalpha Radiation
Preface
Acknowledgements
Electron Spectroscopy: Some Basic Concepts / 1：
3.

電子ブック
ＥＢ
3. Virtual Reality Technology
Burdea
出版情報: EBSCOhost Academic Search Premier , John Wiley & Sons, Inc. / Engineering, 2003
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Foreword
Preface
Introduction / 1：
The Three I's of Virtual Reality / 1.1：
A Short History of Early Virtual Reality / 1.2：
Early Commercial VR Technology / 1.3：
VR Becomes an Industry / 1.4：
The Five Classic Components of a VR System / 1.5：
Review Questions / 1.6：
References
Input Devices: Trackers, Navigation, and Gesture Interfaces / 2：
Three-Dimensional Position Trackers / 2.1：
Tracker Performance Parameters / 2.1.1：
Mechanical Trackers / 2.1.2：
Magnetic Trackers / 2.1.3：
Ultrasonic Trackers / 2.1.4：
Optical Trackers / 2.1.5：
Hybrid Intertial Trackers / 2.1.6：
Navigation and Manipulation Interfaces / 2.2：
Tracker-Based Navigation/Manipulation Interfaces / 2.2.1：
Trackballs / 2.2.2：
Three-Dimensional Probes / 2.2.3：
Gesture Interfaces / 2.3：
The Pinch Glove / 2.3.1：
The 5DT Data Glove / 2.3.2：
The Didjiglove / 2.3.3：
The CyberGlove / 2.3.4：
Conclusion / 2.4：
Output Devices: Graphics, Three-Dimensional Sound, and Haptic Displays / 2.5：
Graphics Displays / 3.1：
The Human Visual System / 3.1.1：
Personal Graphics Displays / 3.1.2：
Large-Volume Displays / 3.1.3：
Sound Displays / 3.2：
The Human Auditory System / 3.2.1：
The Convolvotron / 3.2.2：
Speaker-Based Three-Dimensional Sound / 3.2.3：
Haptic Feedback / 3.3：
The Human Haptic System / 3.3.1：
Tactile Feedback Interfaces / 3.3.2：
Force Feedback Interfaces / 3.3.3：
Computing Architectures for VR / 3.4：
The Rendering Pipeline / 4.1：
The Graphics Rendering Pipeline / 4.1.1：
The Haptics Rendering Pipeline / 4.1.2：
PC Graphics Architecture / 4.2：
PC Graphics Accelerators / 4.2.1：
Graphics Benchmarks / 4.2.2：
Workstation-Based Architectures / 4.3：
The Sun Blade 1000 Architecture / 4.3.1：
The SGI Infinite Reality Architecture / 4.3.2：
Distributed VR Architectures / 4.4：
Multipipeline Synchronization / 4.4.1：
Colocated Rendering Pipelines / 4.4.2：
Distributed Virtual Environments / 4.4.3：
Modeling / 4.5：
Geometric Modeling / 5.1：
Virtual Object Shape / 5.1.1：
Object Visual Appearance / 5.1.2：
Kinematics Modeling / 5.2：
Homogeneous Transformation Matrices / 5.2.1：
Object Position / 5.2.2：
Transformation Invariants / 5.2.3：
Object Hierarchies / 5.2.4：
Viewing the Three-Dimensional World / 5.2.5：
Physical Modeling / 5.3：
Collision Detection / 5.3.1：
Surface Deformation / 5.3.2：
Force Computation / 5.3.3：
Force Smoothing and Mapping / 5.3.4：
Haptic Texturing / 5.3.5：
Behavior Modeling / 5.4：
Model Management / 5.5：
Level-of-Detail Management / 5.5.1：
Cell Segmentation / 5.5.2：
VR Programming / 5.6：
Toolkits and Scene Graphs / 6.1：
WorldToolKit / 6.2：
Model Geometry and Appearance / 6.2.1：
The WTK Scene Graph / 6.2.2：
Sensors and Action Functions / 6.2.3：
WTK Networking / 6.2.4：
Java 3D / 6.3：
Java 3D Scene Graph / 6.3.1：
Sensors and Behaviors / 6.3.3：
Java 3D Networking / 6.3.4：
WTK and Java 3D Performance Comparison / 6.3.5：
General Haptics Open Software Toolkit / 6.4：
GHOST Integration with the Graphics Pipeline / 6.4.1：
The GHOST Haptics Scene Graph / 6.4.2：
Collision Detection and Response / 6.4.3：
Graphics and PHANToM Calibration / 6.4.4：
PeopleShop / 6.5：
DI-Guy Geometry and Path / 6.5.1：
PeopleShop Networking / 6.5.2：
Human Factors in VR / 6.6：
Methodology and Terminology / 7.1：
Data Collection and Analysis / 7.1.1：
Usability Engineering Methodology / 7.1.2：
User Performance Studies / 7.2：
Testbed Evaluation of Universal VR Tasks / 7.2.1：
Influence of System Responsiveness on User Performance / 7.2.2：
Influence of Feedback Multimodality / 7.2.3：
VR Health and Safety Issues / 7.3：
Direct Effects of VR Simulations on Users / 7.3.1：
Cybersickness / 7.3.2：
Adaptation and Aftereffects / 7.3.3：
Guidelines for Proper VR Usage / 7.3.4：
VR and Society / 7.4：
Impact on Professional Life / 7.4.1：
Impact on Private Life / 7.4.2：
Impact on Public Life / 7.4.3：
Traditional VR Applications / 7.5：
Medical Applications of VR / 8.1：
Virtual Anatomy / 8.1.1：
Triage and Diagnostic / 8.1.2：
Surgery / 8.1.3：
Rehabilitation / 8.1.4：
Education, Arts, and Entertainment / 8.2：
VR in Education / 8.2.1：
VR and the Arts / 8.2.2：
Entertainment Applications of VR / 8.2.3：
Military VR Applications / 8.3：
Army Use of VR / 8.3.1：
VR Applications in the Navy / 8.3.2：
Air Force Use of VR / 8.3.3：
Emerging Applications of VR / 8.4：
VR Applications in Manufacturing / 9.1：
Virtual Prototyping / 9.1.1：
Other VR Applications in Manufacturing / 9.1.2：
Applications of VR in Robotics / 9.2：
Robot Programming / 9.2.1：
Robot Teleoperation / 9.2.2：
Information Visualization / 9.3：
Oil Exploration and Well Management / 9.3.1：
Volumetric Data Visualization / 9.3.2：
Index / 9.4：
Foreword
Preface
Introduction / 1：
4.

図書
図書
4. Spatio-temporal databases : the CHOROCHRONOS approach
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：
5.

図書
図書
5. Implementing service quality in IP networks
Vilho Räisänen
出版情報: Chichester, England : Wiley, c2003  xxvii, 325 p. ; 25 cm
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Preface
Acknowledgements
List of Figures
List of Tables
Abbreviations
Drivers for the Adoption of Multi-service Networks
Service Quality Requirements
Network Mechanisms for Multi-service Quality Support
Traffic Engineering for Multi-service IP Networks / 1：
Mapping Service Requirements to Network Resources
Service Level Management Techniques
Measurements / 1.1：
Mechanisms for Dynamic Service Quality Control
Customer Perspective
Case Study: Service Quality Support in an IP-based Cellular RAN
Conclusion / 1.2：
References
Network Operator Perspective
Index
Service Provider Perspective / 1.3：
Summary / 1.4：
Services on the Internet / 2：
Definition of a Service / 2.2：
End user service versus provider-level services / 2.2.1：
About service instances and service events / 2.2.2：
Reference model for this section / 2.2.3：
Service Quality Estimation / 2.3：
Measures of end user experienced service quality / 2.3.1：
Recency effect / 2.3.2：
Psychological factors / 2.3.3：
Service Implementation Aspects / 2.3.4：
Choice of transport protocols / 2.4.1：
Throughput adaptability of services / 2.4.2：
Inherent Service Quality Requirements / 2.5：
Service quality characterizations in standards / 2.5.1：
Availability of service / 2.5.2：
Continuity of service / 2.5.3：
Delivery time end-to-end / 2.5.4：
Throughput / 2.5.5：
Support for continuous service data unit transmission / 2.5.6：
Reliability of service delivery / 2.5.7：
Support for variable transfer rate / 2.5.8：
Generic considerations related to service requirements / 2.5.9：
Service Quality Descriptors / 2.6：
Measurement-based determination of traffic profile / 2.6.1：
Introduction to Network Quality Support / 2.7：
Policing of Traffic at Ingress / 3.2：
About Layers / 3.3：
Types of Network Support for Service Quality / 3.4：
Capacity reservation / 3.4.1：
Differentiated treatment / 3.4.2：
Differentiation of service quality instantiation / 3.4.3：
Summary of generic network service quality support mechanisms / 3.4.4：
Service Support in ATM / 3.5：
ATM service models / 3.5.1：
Summary of ATM service support / 3.5.2：
Service Support Models in Internet Protocol / 3.6：
Best effort service model / 3.6.1：
Controlled-load service support / 3.6.2：
Guaranteed QoS support / 3.6.3：
RSVP / 3.6.4：
Statistical QoS: DiffServ model / 3.6.5：
EF PHB / 3.6.5.1：
AF PHB group / 3.6.5.2：
Other PHBs / 3.6.5.3：
Functions of a DiffServ router / 3.6.5.4：
Summary of DiffServ / 3.6.5.5：
Summary of IP QoS service models / 3.6.6：
Routing in IP Networks / 3.7：
On addressing / 3.7.1：
IP routing protocol-based methods / 3.7.2：
ATM overlays / 3.7.3：
Lower layer tunnels: MPLS / 3.7.4：
Link Layer Issues / 3.8：
Performance / 3.8.1：
A note on scheduling / 3.8.2：
Traffic Engineering / 3.9：
Context of traffic engineering / 4.1.1：
The traffic engineering process / 4.1.2：
Obtaining performance data from the network and analysing it / 4.1.3：
Traffic aggregate performance measurements / 4.1.3.1：
Obtaining data relevant for routing control / 4.1.3.2：
Performance enhancement / 4.1.4：
Scope of network optimization / 4.1.5：
IP Routing Control and Traffic Engineering / 4.2：
Optimizing routing based on service quality characteristics / 4.2.1：
Traffic engineering using MPLS / 4.2.2：
DiffServ over MPLS / 4.2.2.1：
Traffic engineering using IP routing protocols / 4.2.3：
Configuration / 4.2.4：
Policy-based management / 4.3.1：
Policy-based management of DiffServ / 4.3.2：
Case study of policy-based management of DiffServ / 4.3.2.1：
Scope of this Chapter / 4.4：
ETSI EP TIPHON Reference Model / 5.2：
Architecture / 5.2.1：
QoS model / 5.2.2：
QBONE / 5.2.3：
Service support models / 5.3.1：
3GPP QoS Model / 5.3.2：
Other Models / 5.4.1：
Utility-based Allocation of Resources / 5.6：
Generic Resource Allocation Framework / 5.6.1：
Signalling / 5.7.1：
Mapping of services onto network resources / 5.7.2：
Network quality support configuration for DiffServ / 5.7.3：
End-to-end service quality budgets / 5.7.4：
Delay / 5.7.4.1：
Delay variation / 5.7.4.2：
Packet loss rate / 5.7.4.3：
Packet loss correlation / 5.7.4.4：
Optimization of resource allocation / 5.7.4.5：
Models for Service Level Management / 5.8：
Areas of service level management / 6.1.1：
Layers of service level management / 6.1.2：
Models for managed data / 6.1.3：
Service Planning and Creation Process / 6.2：
Interests of the customer / 6.2.1：
Network operator viewpoint / 6.2.2：
Service definition / 6.2.3：
Reporting / 6.2.4：
Service Level Agreements / 6.3：
SLA and DiffServ / 6.3.1：
SLA contents / 6.3.2：
End user SLAs / 6.3.3：
End-to-end Services / 6.4：
Assumptions about connection endpoints / 6.4.1：
Assumptions about per-domain service management / 6.4.2：
Requirements for end-to-end service management / 6.4.3：
Service Brokers and Charging / 6.5：
Traffic Characterization / 6.6：
Network Monitoring / 7.2：
Troubleshooting measurements for services / 7.2.1：
Traffic Control / 7.3：
Definition of Measured Characteristics / 7.4：
Sources of Measurement Data / 7.5：
Measurement interfaces / 7.5.1：
Measured characteristics / 7.5.2：
Measurement Methods / 7.6：
Obtaining performance data from network elements / 7.6.1：
Monitoring a link / 7.6.2：
Monitoring a route or node pair / 7.6.3：
Traffic Engineering Measurement Infrastructure / 7.7：
Measuring entity / 7.7.1：
Interface to measuring entity / 7.7.2：
Measurement control and analysis function / 7.7.3：
Internet Service Quality Measurement Architectures / 7.8：
QBone measurement architecture / 7.8.1：
Discussion / 7.8.1.1：
Nokia Research Center measurement architecture demonstrator / 7.8.2：
Previous Studies / 7.8.2.1：
Two-bit DiffServ architecture / 8.1.1：
Bandwidth broker in QBone architecture / 8.1.2：
Phase 0 Bandwidth Broker / 8.1.2.1：
Phase 1 Bandwidth Broker / 8.1.2.2：
QoS Agents / 8.1.3：
Generic Model / 8.2：
Service quality support instantiation control / 8.2.1：
Signalling interface / 8.2.1.1：
Internal bandwidth broker operation / 8.2.1.2：
Domain control / 8.2.2：
Link to traffic engineering / 8.2.2.1：
Means of maintaining information about resource availability / 8.2.2.2：
Inter-domain signalling / 8.2.3：
Link to service admission control / 8.2.4：
Motivation for Using IP-based Transport in Cellular RAN / 8.3：
IP RAN Transport Architecture / 9.2：
PLMN transport architecture / 9.2.1：
IP RAN transport architecture / 9.2.2：
Handover traffic / 9.2.3：
Service mapping in IP RAN / 9.2.4：
Traffic Engineering in All-IP RAN / 9.3：
Capacity planning / 9.3.1：
Capacity management / 9.3.2：
Traffic management / 9.3.3：
Enabling Technologies for Traffic Engineering in IP RAN / 9.4：
Inter-operation with IP-based Backbones and Roaming Networks / 9.4.1：
IP as the Convergence Network / 9.6：
DiffServ / 10.2：
Complementary technologies for DiffServ / 10.2.1：
Service Level Management / 10.3：
Potential Future Development Directions / 10.4：
Preface
Acknowledgements
List of Figures
6.

電子ブック
ＥＢ
6. Spatio-Temporal Databases
Gerhard; Hartmanis, Juris; van Leeuwen, Jan; Theodoulidis, Babis ; Tryfona, Nectaria ; Grumbach, Stephane ; Guting, Ralf Hartmut Goos, Manolis Koubarakis, Andrew U. Frank, Stéphane Grumbach, Ralf Hartmut Güting, Christian S. Jensen, Nikos Lorentzos, Yannis Manolopoulos, Enrico Nardelli, Barbara Pernici, Timos Sellis
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2003
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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：
7.

図書
図書
7. FEM for springs
M. Shimoseki, T. Hamano, T. Imaizumi (eds.) ; organized by T. Kuwabara
出版情報: Berlin : Springer, c2003  xiii, 233 p. ; 25 cm
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Springs and Elastic Component / 1：
Spring Constant / 1.1：
Definition of the Spring / 1.1.1：
Tangential Gradient / 1.1.2：
System of Multiple Degrees of Freedom / 1.1.3：
Elastic Component in a Vibration System / 1.2：
Vibration Equations / 1.2.1：
Chords of a Guitar / 1.2.2：
Wave Equation / 1.2.3：
First Stages of Analysis / 1.3：
Orientation / 1.3.1：
Steps of Analysis / 1.3.2：
A Pitfall in the Approximate Solution / 1.3.3：
Element Stiffness of Elastic Component / 1.3.4：
One-Dimensional Combination of Components / 1.4：
Coupling Between Components / 1.4.1：
Generalized Matrix Equation for Coupled Elastic Components / 1.4.2：
Verification of Boundary Condition Type / 1.4.3：
Parallel Coupling of Elastic Components / 1.4.4：
Transverse Stiffness of Elastic Components / 1.4.5：
Plane Structures / 1.5：
Transformation of Coordinates / 1.5.1：
Obliquely Connected Components / 1.5.2：
From Components to Finite Elements / 1.5.3：
Outline of Finite Element Method (FEM) / 2：
Fundamentals of Elasto-Plasticity Dynamics / 2.1：
Viewpoint of Continuum Dynamics / 2.1.1：
General Equations / 2.1.2：
Basic Equations for Linear Elastic Body / 2.1.3：
Principle of Virtual Work / 2.1.4：
Expansion to Nonlinear Problems / 2.2：
Geometrical Nonlinearity / 2.2.1：
Material Nonlinearity / 2.2.2：
Expansion to Dynamic Problems / 2.3：
Mass and Damping Matrix / 2.3.1：
Natural Frequency / 2.3.2：
Simulation / 2.3.3：
Spatial Discretization / 2.4：
Derivating Procedure of Element Stiffness / 2.4.1：
Stiffness of Truss Elements / 2.4.2：
Element Stiffness of Plane Stress / 2.4.3：
Element Stiffness of a Three-dimensional Elastic Body / 2.4.4：
Role of Fem in Spring Analysis / 3：
Comparison Of Fem With Conventional Design Meth- ODS / 3.1：
Assumption in Model Construction / 3.1.1：
From Linear to Nonlinear / 3.1.2：
The Utilization of Fem Software / 3.2：
Use of Commercial Software / 3.2.1：
Selection of Commercial Software / 3.2.2：
Development of Dedicated Programs / 3.2.3：
Effectiveness in Design Practice / 3.3：
Single Spring and Peripheral Parts / 3.3.1：
Simulation of the Manufacturing Process / 3.3.2：
Prospect of Future Application / 3.4：
Optimum Design / 3.4.1：
Nonlinear Problems in Manufacturing Simulation / 3.4.2：
Necessity of Material Data / 3.4.3：
Classification and Application of Element / 4：
Introduction of Various Elements / 4.1：
Beam Elements / 4.1.1：
Plate Elements / 4.1.2：
Axisymmetric Elements / 4.1.3：
Cubic Elements (Solid Elements) / 4.1.4：
Contact Elements / 4.1.5：
Selection of Element and Discretizing Practice / 4.2：
Selection of Elements / 4.2.1：
Tips on Discretization / 4.2.2：
Elementary Analysis / 5：
Formed Wire Springs / 5.1：
Stabilizer Bars / 5.2：
Helical Compression Springs / 5.3：
Static Analysis / 5.3.1：
Analysis of Eigenvalue / 5.3.2：
Helical Extension Springs / 5.4：
Helical Torsion Springs / 5.5：
Spiral Springs / 5.6：
Leaf Springs / 5.7：
Flat Springs / 5.8：
Stress Concentration / 5.9：
Stress Concentration on the Periphery of a Center Bolt Hole for Leaf Springs / 5.9.1：
Stress Concentration at the Slit Bottom of a Disc Spring / 5.9.2：
Stress Concentration at the End of a Torsion Bar Spring / 5.9.3：
Expansion of Analytical Handling / 6：
Tubular Stabilizer Bars / 6.1：
Effect of Bush / 6.1.2：
Problem of Contact / 6.2：
Non-circular Cross Section / 6.2.2：
Presetting / 6.2.3：
Surging / 6.2.4：
RBA Type Leaf Springs / 6.3：
Effect of Shackle and Contact Plate / 6.3.2：
Hysteresis Characteristic / 6.3.3：
Wind-up / 6.3.4：
Disc Springs, Ring Springs / 6.3.5：
Disc Springs / 6.4.1：
Ring Springs / 6.4.2：
Index
Springs and Elastic Component / 1：
Spring Constant / 1.1：
Definition of the Spring / 1.1.1：
8.

図書
図書
8. Geometry, topology and quantum field theory
by Pratul Bandyopadhyay
出版情報: Dordrecht : Kluwer Academic, c2003  xi, 217 p. ; 25 cm
シリーズ名: Fundamental theories of physics ; v. 130
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Preface
Theory of Spinors / 1：
Spinors and Spin structure / 1.1：
Spinor space and Spinor Algebra / 1.1.1：
Spinors and Tensors / 1.1.2：
Universal Covering space / 1.1.3：
Spinor structure / 1.1.4：
Spinors in Different Dimensions / 1.2：
Simple Spinor Geometry / 1.2.1：
Conformal Spinors / 1.2.2：
Twistors and Cartan Semispinors / 1.2.3：
Supersymmetry and Superspace / 1.3：
Supersymmetry algebra / 1.3.1：
Superspace / 1.3.2：
Spinor structure and superspace / 1.3.3：
Fermions and Topology / 2：
Fermi Field and Nonlinear Sigma Model / 2.1：
Quantization of a Fermi Field and Sympletic Structure / 2.1.1：
Gauge Theorctic Extension of a Fermion and Nonlinear Sigma Model / 2.1.2：
Boson-Fermion Transformation / 2.1.3：
Vortex Line, Magnetic Flux and Fermion Quantization / 2.1.4：
Quantization and Anomaly / 2.2：
Quantum Mechanical Symmetry Breaking and Anomaly / 2.2.1：
Path Integral Formalism and Chiral Anomaly / 2.2.2：
Quantization of a Fermion and Chiral Anomaly / 2.2.3：
Anomaly and Topology / 2.3：
Topological Aspects of Anomaly / 2.3.1：
Chiral Anomaly and Berry Phase / 2.3.2：
Berry Phase and Fermion Number / 2.3.3：
Electroweak Theory / 3：
Weinberg - Salam Theory / 3.1：
Spontaneous Symmetry Breaking and the Nature of Vacuum / 3.1.1：
Weinberg-Salam Theory of Electroweak Interaction / 3.1.2：
Renormalization of Yang-Mills Theory with Spontaneous Symmetry Breaking / 3.1.3：
Topological Features in Field Theory / 3.2：
The Sine-Gordon Model / 3.2.1：
Vortex Lines / 3.2.2：
The Dirac Monopole / 3.2.3：
The't Hooft Polyakov Monopole / 3.2.4：
Instantons / 3.2.5：
Topological Origin of Mass / 3.3：
Topological Aspects of Chiral Anomaly and Origin of Mass / 3.3.1：
Weak Interaction Gauge Bosons and Topological Origin of Mass / 3.3.2：
Topological Features and Some Aspects of Weak Interaction Phenomenology / 3.3.3：
Skyrme Model / 4：
Nonlinear Sigma Model / 4.1：
Chiral Symmetry Breaking and Nonlinear Sigma Model / 4.1.1：
Nonlinear Sigma Model in Different Dimensions / 4.1.2：
Topological Term in Nonlinear Sigma Model / 4.1.3：
Skyrme Model for Nucleons / 4.2：
Skyrme's Approach: Mesonic Fluid Model / 4.2.1：
Nucleons as Topological Skyrmions / 4.2.2：
Static Properties of Nucleons / 4.2.3：
Baryons as Three Flavor Solitons / 4.3：
Extension of Nuclenoic Model to SU(3) Symmetry / 4.3.1：
Skyrmions and Quantum Chromodynamics / 4.3.2：
Skyrmion Statistics / 4.3.3：
Geometrical Aspects of a Skyrmion / 5：
Microlocal Space Time and Fermions / 5.1：
Microlocal Space Time and Massive Fermions as Solitons / 5.1.1：
Bosonic Degrees of Freedom and Fermion / 5.1.2：
Geometric Phase and [theta]-term / 5.1.3：
Internal Symmetry of Hadrons / 5.2：
Geometrical Aspects of Conformal Spinors / 5.2.1：
Reflection Group and the Internal Symmetry of Hadrons / 5.2.2：
Composite State of Skyrmions and Static Properties of Baryons / 5.2.3：
Supersymmetry and Internal Symmetry / 5.3：
Conformal Spinors and Supersymmetry / 5.3.1：
Reflection Group, Supersymmetry and Internal Symmetry / 5.3.2：
Conformal Spinors and Symmetry Group of Interactions / 5.3.3：
Noncommutative Geometry / 6：
Quantum Space Time / 6.1：
Noncommutative Geometry: Physical Perspective / 6.1.1：
Noncommutative Geometry and Quantum Phase space / 6.1.2：
Noncommutative Geometry and Quantum Group / 6.1.3：
Noncommutative Geometry and Particle Physics / 6.2：
Noncommutative Geometry and Electroweak Theory / 6.2.1：
Noncommutative Geometry and Standard Model / 6.2.2：
Noncommutative Generalization of Gauge Theory / 6.2.3：
Discrete Space as the Internal Space / 6.3：
Noncommutative Geometry and Quantization of a Fermion / 6.3.1：
Noncommutative Geometry, Disconnected Gauge Group and Chiral Anomaly / 6.3.2：
Noncommutative Geometry, Geometrical Aspects of a Skyrmion and Polyakov String / 6.3.3：
References
Subject Index
Preface
Theory of Spinors / 1：
Spinors and Spin structure / 1.1：
9.

図書
図書
9. Data mining : multimedia, soft computing, and bioinformatics
Sushmita Mitra, Tinku Acharya
出版情報: Hoboken, N.J. : John Wiley, c2003  xviii, 401 p., [2] p. of plates ; 25 cm
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Preface
Introduction to Data Mining / 1：
Introduction / 1.1：
Knowledge Discovery and Data Mining / 1.2：
Data Compression / 1.3：
Information Retrieval / 1.4：
Text Mining / 1.5：
Web Mining / 1.6：
Image Mining / 1.7：
Classification / 1.8：
Clustering / 1.9：
Rule Mining / 1.10：
String Matching / 1.11：
Bioinformatics / 1.12：
Data Warehousing / 1.13：
Applications and Challenges / 1.14：
Conclusions and Discussion / 1.15：
References
Soft Computing / 2：
What is Soft Computing? / 2.1：
Relevance / 2.2.1：
Fuzzy sets / 2.2.2：
Neural networks / 2.2.3：
Neuro-fuzzy computing / 2.2.4：
Genetic algorithms / 2.2.5：
Rough sets / 2.2.6：
Wavelets / 2.2.7：
Role of Fuzzy Sets in Data Mining / 2.3：
Granular computing / 2.3.1：
Association rules / 2.3.3：
Functional dependencies / 2.3.4：
Data summarization / 2.3.5：
Image mining / 2.3.6：
Role of Neural Networks in Data Mining / 2.4：
Rule extraction / 2.4.1：
Rule evaluation / 2.4.2：
Clustering and self-organization / 2.4.3：
Regression / 2.4.4：
Information retrieval / 2.4.5：
Role of Genetic Algorithms in Data Mining / 2.5：
Role of Rough Sets in Data Mining / 2.5.1：
Role of Wavelets in Data Mining / 2.7：
Role of Hybridizations in Data Mining / 2.8：
Multimedia Data Compression / 2.9：
Information Theory Concepts / 3.1：
Discrete memoryless model and entropy / 3.2.1：
Noiseless Source Coding Theorem / 3.2.2：
Classification of Compression Algorithms / 3.3：
A Data Compression Model / 3.4：
Measures of Compression Performance / 3.5：
Compression ratio and bits per sample / 3.5.1：
Quality metric / 3.5.2：
Coding complexity / 3.5.3：
Source Coding Algorithms / 3.6：
Run-length coding / 3.6.1：
Huffman coding / 3.6.2：
Principal Component Analysis for Data Compression / 3.7：
Principles of Still Image Compression / 3.8：
Predictive coding / 3.8.1：
Transform coding / 3.8.2：
Wavelet coding / 3.8.3：
Image Compression Standard: JPEG / 3.9：
The JPEG Lossless Coding Algorithm / 3.10：
Baseline JPEG Compression / 3.11：
Color space conversion / 3.11.1：
Source image data arrangement / 3.11.2：
The baseline compression algorithm / 3.11.3：
Decompression process in baseline JPEG / 3.11.4：
JPEG2000: Next generation still picture coding standard / 3.11.5：
Text Compression / 3.12：
The LZ77 algorithm / 3.12.1：
The LZ78 algorithm / 3.12.2：
The LZW algorithm / 3.12.3：
Other applications of Lempel-Ziv coding / 3.12.4：
Some definitions and preliminaries / 3.13：
String matching problem / 4.1.2：
Brute force string matching / 4.1.3：
Linear-Order String Matching Algorithms / 4.2：
String matching with finite automata / 4.2.1：
Knuth-Morris-Pratt algorithm / 4.2.2：
Boyer-Moore algorithm / 4.2.3：
Boyer-Moore-Horspool algorithm / 4.2.4：
Karp-Rabin algorithm / 4.2.5：
String Matching in Bioinformatics / 4.3：
Approximate String Matching / 4.4：
Basic definitions / 4.4.1：
Wagner-Fischer algorithm for computation of string distance / 4.4.2：
Text search with k-differences / 4.4.3：
Compressed Pattern Matching / 4.5：
Classification in Data Mining / 4.6：
Decision Tree Classifiers / 5.1：
ID3 / 5.2.1：
IBM IntelligentMiner / 5.2.2：
Serial PaRallelizable INduction of decision Trees (SPRINT) / 5.2.3：
RainForest / 5.2.4：
Overfitting / 5.2.5：
PrUning and BuiLding Integrated in Classification (PUBLIC) / 5.2.6：
Extracting classification rules from trees / 5.2.7：
Fusion with neural networks / 5.2.8：
Bayesian Classifiers / 5.3：
Bayesian rule for minimum risk / 5.3.1：
Naive Bayesian classifier / 5.3.2：
Bayesian belief network / 5.3.3：
Instance-Based Learners / 5.4：
Minimum distance classifiers / 5.4.1：
k-nearest neighbor (k-NN) classifier / 5.4.2：
Locally weighted regression / 5.4.3：
Radial basis functions (RBFs) / 5.4.4：
Case-based reasoning (CBR) / 5.4.5：
Granular computing and CBR / 5.4.6：
Support Vector Machines / 5.5：
Fuzzy Decision Trees / 5.6：
Rule generation and evaluation / 5.6.1：
Mapping of rules to fuzzy neural network / 5.6.3：
Results / 5.6.4：
Clustering in Data Mining / 5.7：
Distance Measures and Symbolic Objects / 6.1：
Numeric objects / 6.2.1：
Binary objects / 6.2.2：
Categorical objects / 6.2.3：
Symbolic objects / 6.2.4：
Clustering Categories / 6.3：
Partitional clustering / 6.3.1：
Hierarchical clustering / 6.3.2：
Leader clustering / 6.3.3：
Scalable Clustering Algorithms / 6.4：
Clustering large applications / 6.4.1：
Density-based clustering / 6.4.2：
Grid-based methods / 6.4.3：
Other variants / 6.4.5：
Soft Computing-Based Approaches / 6.5：
Evolutionary algorithms / 6.5.1：
Clustering with Categorical Attributes / 6.6：
Sieving Through Iterated Relational Reinforcements (STIRR) / 6.6.1：
Robust Hierarchical Clustering with Links (ROCK) / 6.6.2：
c-modes algorithm / 6.6.3：
Hierarchical Symbolic Clustering / 6.7：
Conceptual clustering / 6.7.1：
Agglomerative symbolic clustering / 6.7.2：
Cluster validity indices / 6.7.3：
Association Rules / 6.7.4：
Candidate Generation and Test Methods / 7.1：
A priori algorithm / 7.2.1：
Partition algorithm / 7.2.2：
Some extensions / 7.2.3：
Depth-First Search Methods / 7.3：
Interesting Rules / 7.4：
Multilevel Rules / 7.5：
Online Generation of Rules / 7.6：
Generalized Rules / 7.7：
Scalable Mining of Rules / 7.8：
Other Variants / 7.9：
Quantitative association rules / 7.9.1：
Temporal association rules / 7.9.2：
Correlation rules / 7.9.3：
Localized associations / 7.9.4：
Optimized association rules / 7.9.5：
Fuzzy Association Rules / 7.10：
Rule Mining with Soft Computing / 7.11：
Connectionist Rule Generation / 8.1：
Neural models / 8.2.1：
Neuro-fuzzy models / 8.2.2：
Using knowledge-based networks / 8.2.3：
Modular Hybridization / 8.3：
Rough fuzzy MLP / 8.3.1：
Modular knowledge-based network / 8.3.2：
Evolutionary design / 8.3.3：
Multimedia Data Mining / 8.3.4：
Keyword-based search and mining / 9.1：
Text analysis and retrieval / 9.2.2：
Mathematical modeling of documents / 9.2.3：
Similarity-based matching for documents and queries / 9.2.4：
Latent semantic analysis / 9.2.5：
Soft computing approaches / 9.2.6：
Content-Based Image Retrieval / 9.3：
Color features / 9.3.2：
Texture features / 9.3.3：
Shape features / 9.3.4：
Topology / 9.3.5：
Multidimensional indexing / 9.3.6：
Results of a simple CBIR system / 9.3.7：
Video Mining / 9.4：
MPEG-7: Multimedia content description interface / 9.4.1：
Content-based video retrieval system / 9.4.2：
Search engines / 9.5：
Bioinformatics: An Application / 9.5.2：
Preliminaries from Biology / 10.1：
Deoxyribonucleic acid / 10.2.1：
Amino acids / 10.2.2：
Proteins / 10.2.3：
Microarray and gene expression / 10.2.4：
Information Science Aspects / 10.3：
Protein folding / 10.3.1：
Protein structure modeling / 10.3.2：
Genomic sequence analysis / 10.3.3：
Homology search / 10.3.4：
Clustering of Microarray Data / 10.4：
First-generation algorithms / 10.4.1：
Second-generation algorithms / 10.4.2：
Role of Soft Computing / 10.5：
Predicting protein secondary structure / 10.6.1：
Predicting protein tertiary structure / 10.6.2：
Determining binding sites / 10.6.3：
Classifying gene expression data / 10.6.4：
Index / 10.7：
About the Authors
Preface
Introduction to Data Mining / 1：
Introduction / 1.1：
10.

図書
図書
10. C2H- (HCC-), C2H+ (HCC+), C2O- (CCO-), C2O (CCO), C2S (CCS), C3 (CCC), C3++ (CCC++)
G. Guelachvili, K. Narahari Rao ; edited by G. Guelachvili
出版情報: Berlin : Springer, c2003  lxxviii, 194 p. ; 28 cm.
シリーズ名: Landolt-Börnstein Zahlenwerte und Funktionen aus Naturwissenschaften und Technik, Neue Serie / Gesamtherausgabe, K.-H. Hellwege ; group 2 . Molecules and radicals ; v. 20 . Molecular constants : mostly from infrared spectroscopy ; subv. B . Linear triatomic molecules ; pt. 7
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The introduction essentially reports molecular theories and equations, based on which most of the evaluated data are established
Additional information of practical interest (list of symbols with their definitions, units, table of conversion factors, notations for the bands and energy levels, table of energy-related units and selected fundamental constants, ...) are also given
The tables are preceded by an additional index to help the search for specific information
In order to keep their consistency and their optimum ability to reproduce data, molecular constants are reported when possible from the same calculation of a given set of measurements
The subvolume ends with a reference section
The introduction essentially reports molecular theories and equations, based on which most of the evaluated data are established
Additional information of practical interest (list of symbols with their definitions, units, table of conversion factors, notations for the bands and energy levels, table of energy-related units and selected fundamental constants, ...) are also given
The tables are preceded by an additional index to help the search for specific information
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