1.
図書
Maxim Ryadnov
目次情報:
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Introductory Notes / Chapter 1：
Inspiring Hierarchical / 1.1：
Encoding Instructive / 1.2：
Starting Lowest / 1.3：
Picturing Biological / 1.4：
References
Recycling Hereditary / Chapter 2：
Coding Dual / 2.1：
Deoxyribonucleic / 2.1.1：
Building up in Two / 2.1.1.1：
Keeping in Shape / 2.1.1.2：
Priming Topological / 2.1.2：
Resequencing Basic / 2.1.2.1：
Choosing the Fittest / 2.1.2.1.1：
Evolving Diverse / 2.1.2.1.2：
Primary Motifs / 2.1.2.2：
Gluing Universal / 2.1.2.2.1：
Alienating Axial / 2.1.2.2.2：
Fixing Spatial / 2.2：
Hinting Geometric: Secondary Motifs / 2.2.1：
Crossing Double / 2.2.1.1：
Reporting Visible / 2.2.1.1.1：
Translating Symmetrical / 2.2.1.1.2：
Extending Cohesive / 2.2.1.2：
Sharing Mutual / 2.2.1.2.1：
Multiplying Traversal / 2.2.1.2.2：
Tiling Square / 2.2.1.2.3：
Scaffolding Algorithmic / 2.3：
Pursuing Autonomous / 2.3.1：
Lengthening to Shorten / 2.3.1.1：
Gathering to Limit / 2.3.1.2：
Assigning Arbitrary / 2.3.2：
Synchronising Local / 2.3.2.1：
Prescribing General / 2.3.2.2：
Adding up to Third / 2.3.3：
Wrapping to Shut / 2.3.3.1：
Framing to Classify / 2.3.3.2：
Outlook / 2.4：
Recaging Within / Chapter 3：
Enclosing to Deliver / 3.1：
Transporting Foreign / 3.1.1：
Fitting Flat and Straight / 3.1.1.1：
Spiralling Along / 3.1.1.2：
Packing Out and In / 3.1.2：
Spooling Around / 3.1.2.1：
Tunnelling Through
Escaping Walled / 3.1.3：
Capturing On and Off / 3.1.3.1：
Storing Exchangeable / 3.1.3.2：
Reacting Nano / 3.2：
Clustering Spherical / 3.2.1：
Contriving Consistent / 3.2.1.1：
Scaling Hosting / 3.2.1.2：
Following Linear / 3.2.2：
Channelling Inner
Converting Outer
Repairing from Inside / 3.3：
Uninviting Levy / 3.3.1：
Necessitating Exterior / 3.3.2：
Antagonising Dressing / 3.3.2.1：
Renting Occasional / 3.3.2.1.2：
Phasing West / 3.3.2.2：
Facing Concentric / 3.3.2.2.1：
Encircling Between / 3.3.2.2.2：
Singling Out Unique / 3.3.2.2.3：
Sharing the Balance / 3.3.3：
Driving Symmetrical / 3.3.3.1：
Sealing Annular / 3.3.3.2：
Reassembling Multiple / 3.4：
Keeping All in Touch / 4.1：
Unravelling the Essential / 4.1.1：
Winding Three in One / 4.1.1.1：
Aligning Stagger / 4.1.1.2：
Tapering Polar / 4.1.1.3：
Branching and Stretching / 4.1.1.4：
Replicating Apparent / 4.1.2：
Scraping Refusal / 4.1.2.1：
Tempting Compatible / 4.1.2.2：
Likening Synthetic / 4.1.2.3：
Recovering Intelligent / 4.1.2.4：
Restoring Available / 4.2：
Prompting Longitudinal / 4.2.1：
Invoking Granted / 4.2.1.1：
Reposing Modular / 4.3：
Displacing Coil / 4.3.1：
Settling Lateral / 4.3.2：
Bundling Exclusive / 4.3.2.1：
Permitting Distinctive / 4.3.2.2：
Inviting Captive / 4.3.2.3：
Clearing Limiting / 4.3.3：
Equilibrating Transitional / 4.3.3.1：
Extracting Minimal / 4.3.3.2：
Gambling Beyond / 4.4：
Guiding Proliferative / 4.4.1：
Feeding Proximate / 4.4.1.1：
Rooting Renewal / 4.4.1.2：
Accepting Inescapable / 4.4.2：
Patterning Positional / 4.4.2.1：
Relating Interfacial / 4.4.2.2：
Grafting Integral / 4.4.2.3：
Concluding Remarks / 4.5：
Learning Fluent / 5.1：
Parsing Semantic / 5.2：
Drawing Pragmatic / 5.3：
Revealing Contributory / Chapter 6：
Subject Index
Introductory Notes / Chapter 1：
Inspiring Hierarchical / 1.1：
Encoding Instructive / 1.2：
2.
ＥＢ
Johann; Engel, Thomas Gasteiger, Thomas Engel, Johann Gasteiger
出版情報:
Wiley Online Library - AutoHoldings Books , John Wiley & Sons, Inc., 2003
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Foreword
Preface
Addresses of the Authors
Introduction / 1：
The Domain of Chemistry / 1.1：
A Chemists Fundamental Questions / 1.2：
The Scope of Chemoinformatics / 1.3：
Learning in Chemoinformatics / 1.4：
Major Tasks / 1.5：
Representation of the Objects / 1.5.1：
Data / 1.5.2：
Learning / 1.5.3：
History of Chemoinformatics / 1.6：
Structure Databases 10 / 1.6.1：
Quantitative Structure--Activity Relationships / 1.6.2：
Molecular Modeling / 1.6.3：
Structure Elucidation / 1.6.4：
Chemical Reactions and Synthesis Design / 1.6.5：
The Scope of this Book / 1.7：
Teaching Chemoinformatics / 1.8：
Representation of Chemical Compounds / 2：
Chemical Nomenclature / 2.1：
Development of Chemical Nomenclature / 2.2.1：
Representation of Chemical Elements / 2.2.2：
Characterization of Elements / 2.2.2.1：
Representation of the Empirical Formulas of (Inorganic) Compounds / 2.2.3：
Present-Day Representation / 2.2.3.1：
Representation of the Empirical Formulas of Organic Compounds / 2.2.4：
Systematic Nomenclature of Inorganic and Organic Compounds / 2.2.4.1：
Line Notations / 2.3：
Wiswesser Line Notation / 2.3.1：
Applications / 2.3.1.1：
ROSDAL / 2.3.2：
The SMILES Coding / 2.3.2.1：
Sybyl Line Notation / 2.3.3.1：
Coding the Constitution / 2.3.4.1：
Graph Theory / 2.4.1：
Basics of Graph Theory / 2.4.1.1：
Matrix Representations / 2.4.2：
Adjacency Matrix / 2.4.2.1：
Distance Matrix / 2.4.2.2：
Atom Connectivity Matrix / 2.4.2.3：
Incidence Matrix / 2.4.2.4：
Bond Matrix / 2.4.2.5：
Connection Table / 2.4.3：
Input and Output of Chemical Structures / 2.4.4：
Standard Structure Exchange Formats / 2.4.5：
Tutorial: Molfiles and SDfiles / 2.4.6：
Structure of a Molfile / 2.4.6.1：
Structure of an SDfile / 2.4.6.2：
Libraries and Toolkits / 2.4.6.3：
Processing Constitutional Information / 2.5：
Ring Perception / 2.5.1：
Minimum Number of Cycles / 2.5.1.1：
All Cycles / 2.5.1.2：
Smallest Fundamental Basis / 2.5.1.3：
Unambiguous and Unique Representations / 2.5.2：
Structure Isomers and Isomorphism / 2.5.2.1：
Canonicalization / 2.5.2.2：
The Morgan Algorithm / 2.5.3：
Tutorial: Morgan Algorithm / 2.5.3.1：
Beyond a Connection Table / 2.6：
Deficiencies in Representing Molecular Structures by a Connection Table / 2.6.1：
Representation of Molecular Structures by Electron Systems / 2.6.2：
General Concepts / 2.6.2.1：
Simple Single and Double Bonds / 2.6.2.2：
Conjugation and Aromaticity / 2.6.2.3：
Orthogonality of ûSystems / 2.6.2.4：
Non-bonding Orbitals / 2.6.2.5：
Charged Species and Radicals / 2.6.2.6：
Ionized States / 2.6.2.7：
Electron-Deficient Compounds / 2.6.2.8：
Organometallic Compounds / 2.6.2.9：
Generation of RAMSES from a VB Representation / 2.6.3：
Special Notations of Chemical Structures / 2.7：
Markush Structures / 2.7.1：
Fragment Coding / 2.7.2：
Fingerprints / 2.7.2.1：
Hashed Fingerprints / 2.7.3.1：
Hash Codes / 2.7.4：
Representation of Stereochemistry / 2.7.4.1：
Representation of Configuration Isomers and Molecular Chirality / 2.8.1：
Detection and Specification of Chirality / 2.8.2.1：
Ordered Lists / 2.8.3：
Rotational Lists / 2.8.4：
Permutation Descriptors / 2.8.5：
Stereochemistry in Molfile and SMILES / 2.8.6：
Stere / 2.8.6.1：
Foreword
Preface
Addresses of the Authors
3.
ＥＢ
Hans-Joachim Hubschmann
出版情報:
Wiley Online Library - AutoHoldings Books , Weinheim : John Wiley & Sons, Inc., 2008
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Introduction / 1：
Fundamentals / 2：
Sample Preparation / 2.1：
Solid Phase Extraction / 2.1.1：
Solid Phase Microextraction / 2.1.1.1：
Supercritical Fluid Extraction / 2.1.2：
Pressurized Fluid Extraction / 2.1.3：
Online Liquid Chromatography Clean-up / 2.1.4：
Headspace Techniques / 2.1.5：
Static Headspace Technique / 2.1.5.1：
Dynamic Headspace Technique (Purge and Trap) / 2.1.5.2：
Headspace versus Purge and Trap / 2.1.5.3：
Adsorptive Enrichment and Thermodesorption / 2.1.6：
Sample Collection / 2.1.6.1：
Calibration / 2.1.6.2：
Desorption / 2.1.6.3：
Pyrolysis and Thermal Extraction / 2.1.7：
Foil Pyrolysis / 2.1.7.1：
Curie Point Pyrolysis / 2.1.7.2：
Thermal Extraction / 2.1.7.3：
Gas Chromatography / 2.2：
Fast Gas Chromatography / 2.2.1：
Fast Chromatography / 2.2.1.1：
Ultra Fast Chromatography / 2.2.1.2：
Two Dimensional Gas Chromatography / 2.2.2：
Heart Cutting / 2.2.2.1：
Comprehensive GC x GC / 2.2.2.2：
Modulation / 2.2.2.3：
Detection / 2.2.2.4：
Data Handling / 2.2.2.5：
Moving Capillary Stream Switching / 2.2.2.6：
GC/MS Sample Inlet Systems / 2.2.3：
Carrier Gas Regulation / 2.2.3.1：
The Microseal Septum / 2.2.3.2：
Hot Sample Injection / 2.2.3.3：
Cold Injection Systems / 2.2.3.4：
Injection Volumes / 2.2.3.5：
On-column Injection / 2.2.3.6：
Cryofocusing / 2.2.3.7：
Capillary Columns / 2.2.4：
Sample Capacity / 2.2.4.1：
Internal Diameter / 2.2.4.2：
Film Thickness / 2.2.4.3：
Column Length / 2.2.4.4：
Adjusting the Carrier Gas Flow / 2.2.4.5：
Properties of Stationary Phases / 2.2.4.6：
Chromatography Parameters / 2.2.5：
The Chromatogram and its Meaning / 2.2.5.1：
Capacity Factor k' / 2.2.5.2：
Chromatographic Resolution / 2.2.5.3：
Factors Affecting the Resolution / 2.2.5.4：
Maximum Sample Capacity / 2.2.5.5：
Peak Symmetry / 2.2.5.6：
Optimisation of Flow / 2.2.5.7：
Classical Detectors for GC/MS Systems / 2.2.6：
FID / 2.2.6.1：
NPD / 2.2.6.2：
ECD / 2.2.6.3：
PID / 2.2.6.4：
ELCD / 2.2.6.5：
FPD / 2.2.6.6：
PDD / 2.2.6.7：
Connection of Classical Detectors Parallel to the Mass Spectrometer / 2.2.6.8：
Mass Spectrometry / 2.3：
Resolving Power and Resolution in Mass Spectrometry / 2.3.1：
High Resolution / 2.3.1.1：
Unit Mass Resolution / 2.3.1.2：
High and Low Resolution in the Case of Dioxin Analysis / 2.3.1.3：
Time-of-Flight Analyser / 2.3.2：
Isotope Ratio Monitoring GC/MS / 2.3.3：
Ionisation Procedures / 2.3.4：
Electron Impact Ionisation / 2.3.4.1：
Chemical Ionisation / 2.3.4.2：
Measuring Techniques in GC/MS / 2.3.5：
Detection of the Complete Spectrum (Full Scan) / 2.3.5.1：
Recording Individual Masses (SIM/MID) / 2.3.5.2：
High Resolution Accurate Mass MID Data Acquisition / 2.3.5.3：
MS/MS - Tandem Mass Spectrometry / 2.3.6：
Mass Calibration / 2.3.7：
Special Aspects of GC/MS Coupling / 2.4：
Vacuum Systems / 2.4.1：
GC/MS Interface Solutions / 2.4.2：
Open Split Coupling / 2.4.2.1：
Direct Coupling / 2.4.2.2：
Separator Techniques / 2.4.2.3：
References for Chapter 2
Evaluation of GC/MS Analyses / 3：
Display of Chromatograms / 3.1：
Total Ion Current Chromatograms / 3.1.1：
Mass Chromatograms / 3.1.2：
Substance Identification / 3.2：
Extraction of Mass Spectra / 3.2.1：
The Retention Index / 3.2.2：
Libraries of Mass Spectra / 3.2.3：
Universal Mass Spectral Libraries / 3.2.3.1：
Application Libraries of Mass Spectra / 3.2.3.2：
Library Search Procedures / 3.2.4：
The INCOS/NIST Search Procedure / 3.2.4.1：
The PBM Search Procedure / 3.2.4.2：
The SISCOM Procedure / 3.2.4.3：
Interpretation of Mass Spectra / 3.2.5：
Isotope Patterns / 3.2.5.1：
Fragmentation and Rearrangement Reactions / 3.2.5.2：
DMOX Derivatives for Location of Double Bond Positions / 3.2.5.3：
Mass Spectroscopic Features of Selected Substance Classes / 3.2.6：
Volatile Halogenated Hydrocarbons / 3.2.6.1：
Benzene/Toluene/Ethylbenzene/Xylenes (BTEX, Alkylaromatics) / 3.2.6.2：
Polyaromatic Hydrocarbons (PAH) / 3.2.6.3：
Phenols / 3.2.6.4：
Pesticides / 3.2.6.5：
Polychlorinated Biphenyls (PCBs) / 3.2.6.6：
Polychlorinated Dioxins/Furans (PCDDs/PCDFs) / 3.2.6.7：
Drugs / 3.2.6.8：
Explosives / 3.2.6.9：
Chemical Warfare Agents / 3.2.6.10：
Brominated Flame Retardants (BFR) / 3.2.6.11：
Quantitation / 3.3：
Decision Limit / 3.3.1：
Limit of Detection / 3.3.2：
Limit of Quantitation / 3.3.3：
Sensitivity / 3.3.4：
The Calibration Function / 3.3.5：
Quantitation and Standardisation / 3.3.6：
External Standardization / 3.3.6.1：
Internal Standardisation / 3.3.6.2：
The Standard Addition Procedure / 3.3.6.3：
Frequently Occurring Impurities / 3.4：
References for Chapter 3
Applications / 4：
Air Analysis According to EPA Method TO-14 / 4.1：
BTEX Using Headspace GC/MS / 4.2：
Simultaneous Determination of Volatile Halogenated Hydrocarbons and BTEX / 4.3：
Static Headspace Analysis of Volatile Priority Pollutants / 4.4：
MAGIC 60 - Analysis of Volatile Organic Compounds / 4.5：
irm-GC/MS of Volatile Organic Compounds Using Purge and Trap Extraction / 4.6：
Vinyl Chloride in Drinking Water / 4.7：
Chloral Hydrate in Surface Water / 4.8：
Field Analysis of Soil Air / 4.9：
Residual Monomers and Polymerisation Additives / 4.10：
Geosmin and Methylisoborneol in Drinking Water / 4.11：
Substituted Phenols in Drinking Water / 4.12：
GC/MS/MS Target Compound Analysis of Pesticide Residues in Difficult Matrices / 4.13：
Multi-component Pesticide Analysis by MS/MS / 4.14：
Multi-method for the Determination of 239 Pesticides / 4.15：
Nitrophenol Herbicides in Water / 4.16：
Dinitrophenol Herbicides in Water / 4.17：
Hydroxybenzonitrile Herbicides in Drinking Water / 4.18：
Routine Analysis of 24 PAHs in Water and Soil / 4.19：
Fast GC Quantification of 16 EC Priority PAH Components / 4.20：
Analysis of Water Contaminants by On-line SPE-GC/MS / 4.21：
Determination of Polar Aromatic Amines by SPME / 4.22：
Congener Specific Isotope Analysis of Technical PCB Mixtures / 4.23：
Polychlorinated Biphenyls in Indoor Air / 4.24：
Confirmation Analysis of Dioxins and Dioxin-like PCBs / 4.25：
Fast GC Analysis for PCBs / 4.26：
Analysis of Brominated Flame Retardants PBDE / 4.27：
Trace Analysis of BFRs in Waste Water Using SPME-GC/MS/MS / 4.28：
Analysis of Military Waste / 4.29：
Detection of Drugs in Hair / 4.30：
Detection of Morphine Derivatives / 4.31：
Detection of Cannabis Consumption / 4.32：
Analysis of Steroid Hormones Using MS/MS / 4.33：
Determination of Prostaglandins Using MS/MS / 4.34：
Detection of Clenbuterol by CI / 4.35：
General Unknown Toxicological-chemical Analysis / 4.36：
Clofibric Acid in Aquatic Systems / 4.37：
Polycyclic Musks in Waste Water / 4.38：
Identification and Quantification of Trichothecene Mycotoxins / 4.39：
Highly Sensitive Screening and Quantification of Environmental Components Using Chemical Ionisation with Water / 4.40：
Characterization of Natural Waxes by Pyrolysis-GC/MS / 4.41：
Quantitative Determination of Acrylate Copolymer Layers / 4.42：
References for Chapter 4
Glossary / 5：
Subject Index
Introduction / 1：
Fundamentals / 2：
Sample Preparation / 2.1：
4.
図書
Karl Pfleger, Hans H. Maurer, Armin Weber
出版情報:
Weinheim : Wiley-VCH, c2007 2 v. ; 29 cm
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(Methods, Tables) / Volume 1：
Methods
Introduction / 1：
Experimental Section / 2：
Origin and choice of samples / 2.1：
Sample preparation / 2.2：
Standard extraction procedures / 2.2.1：
Standard liquid-liquid extraction (LLE) for plasma, urine or gastric contents (P, U, G) / 2.2.1.1：
STA procedure (hydrolysis, extraction and microwave-assisted acetylation) for urine (U+UHYAC) / 2.2.1.2：
Extraction of urine after cleavage of conjugates by glucuronidase and arylsulfatase (UGLUC) / 2.2.1.3：
Extractive methylation procedure for urine or plasma (UME, PME) / 2.2.1.4：
Solid-phase extraction for plasma or urine (PSPE, USPE) / 2.2.1.5：
LLE of plasma for determination of drugs for brain death diagnosis / 2.2.1.6：
Extraction of ethylene glycol and other glycols from plasma or urine followed by microwave-assisted pivalylation (PEGPIV or UEGPIV) / 2.2.1.7：
Derivatization procedures / 2.2.2：
Acetylation (AC) / 2.2.2.1：
Methylation (ME) / 2.2.2.2：
Ethylation (ET) / 2.2.2.3：
tert.-Butyldimethylsilylation (TBDMS) / 2.2.2.4：
Trimethylsilylation (TMS) / 2.2.2.5：
Trimethylsilylation followed by trifluoroacetylation (TMSTFA) / 2.2.2.6：
Trifluoroacetylation (TFA) / 2.2.2.7：
Pentafluoropropionylation (PFP) / 2.2.2.8：
Pentafluoropropylation (PFPOL) / 2.2.2.9：
Heptafluorobutyrylation (HFB) / 2.2.2.10：
Pivalylation (PIV) / 2.2.2.11：
Heptafluorobutyrylprolylation (HFBP) / 2.2.2.12：
GC-MS Apparatus / 2.3：
Apparatus and operation conditions / 2.3.1：
Quality assurance of the apparatus performance / 2.3.2：
Determination of retention indices / 2.4：
Systematic toxicological analysis (STA) of several classes of drugs and their metabolites by GC-MS / 2.5：
Screening for 200 drugs in blood plasma after LLE / 2.5.1：
Screening for most of the basic and neutral drugs in urine after acid hydrolysis, LLE and acetylation / 2.5.2：
Systematic toxicological analysis procedures for the detection of acidic drugs and/or their metabolites / 2.5.3：
General screening procedure for zwitterionic compounds after SPE and silylation / 2.5.4：
Application of the electronic version of this handbook / 2.6：
Quantitative determination / 2.7：
Correlation between Structure and Fragmentation / 3：
Principle of electron-ionization mass spectrometry (EI-MS) / 3.1：
Correlation between fundamental structures or side chains and fragment ions / 3.2：
Formation of Artifacts / 4：
Artifacts formed by oxidation during extraction with diethyl ether / 4.1：
N-Oxidation of tertiary amines / 4.1.1：
S-Oxidation of phenothiazines / 4.1.2：
Artifacts formed by thermolysis during GC (GC artifact) / 4.2：
Decarboxylation of carboxylic acids / 4.2.1：
Cope elimination of N-oxides (-(CH3)2NOH, -(C2H5)2NOH, -C6H14N2O2) / 4.2.2：
Rearrangement of bis-deethyl flurazepam (-H2O) / 4.2.3：
Elimination of various residues / 4.2.4：
Methylation of carboxylic acids in methanol ((ME), ME in methanol) / 4.2.5：
Formation of formaldehyde adducts using methanol as solvent (GC artifact in methanol) / 4.2.6：
Artifacts formed by thermolysis during GC and during acid hydrolysis (GC artifact, HY artifact) / 4.3：
Dehydration of alcohols (-H2O) / 4.3.1：
Decarbamoylation of carbamates / 4.3.2：
Cleavage of morazone to phenmetrazine / 4.3.3：
Artifacts formed during acid hydrolysis / 4.4：
Cleavage of the ether bridge in beta-blockers and alkanolamine antihistamines (HY) / 4.4.1：
Cleavage of 1,4-benzodiazepines to aminobenzoyl derivatives (HY) / 4.4.2：
Cleavage and rearrangement of N-demethyl metabolites of clobazam to benzimidazole derivatives (HY) / 4.4.3：
Cleavage and rearrangement of bis-deethyl flurazepam (HY -H2O) / 4.4.4：
Cleavage and rearrangement of tetrazepam / 4.4.5：
(Methods, Tables) / Volume 1：
Methods
Introduction / 1：
5.
ＥＢ
Anthony Sofronas
出版情報:
Wiley Online Library - AutoHoldings Books , Hoboken : John Wiley & Sons, Inc., 2005
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Preface
Introduction / 1：
Strength of Materials / 2：
Load Calculations / 2.1：
Stress Calculations / 2.2：
Axial / 2.2.1：
Shear / 2.2.2：
Bending / 2.2.3：
Torsional / 2.2.4：
Combined Stresses / 2.2.5：
Thermal Stresses / 2.2.6：
Transient Temperatures and Stresses / 2.2.7：
High Temperature Creep / 2.2.8：
Shell Stresses / 2.2.9：
Piping Thermal Forces, Moments, Frequencies / 2.3：
Piping Failures / 2.3.1：
Allowable and Design Stresses / 2.4：
Fatigue Due to Cyclic Loading / 2.5：
Elongation and Deflection Calculations / 2.6：
Factors of Safety / 2.7：
Case History: Agitator Bearing Loading / 2.8：
Case History: Shaft Failure / 2.9：
Dynamic Loading / 2.10：
Centrifugal Force / 2.10.1：
Inertia's and WR2 / 2.10.2：
Energy Relationships / 2.10.3：
Case History: Centrifuge Bearing Failures / 2.11：
Case History: Bird Impact Force on a Windscreen / 2.12：
Case History: Torsional Impact on a Propeller / 2.13：
Case History: Start-up Torque on a Motor Coupling / 2.14：
Case History: Frictional Clamping Due to Bolting / 2.15：
Case History: Failure of a Connecting Rod in a Race Car / 2.16：
Bolting / 2.17：
Holding Capacity / 2.17.1：
Limiting Torque / 2.17.2：
Bolt Elongation and Relaxation / 2.17.3：
Torquing Methods / 2.17.4：
Fatigue of Bolts / 2.17.5：
Stripping Strength of Threads / 2.17.6：
Case History: A Power Head Gasket Leak / 2.17.7：
Ball and Roller Bearing Life Estimates / 2.18：
Case History: Bearing Life of a Shaft Support / 2.18.1：
Coupling Offset and Bearing Life / 2.18.2：
Hydrodynamic Bearings / 2.19：
Shell and Pad Failures / 2.19.1：
Gears / 2.20：
Gear Acceptability Calculations / 2.20.1：
Case History: Up-Rate Acceptability of a Gear Unit / 2.20.2：
Interference Fits / 2.21：
Keyless Hydraulically Fitted Hubs / 2.21.1：
Case History: Taper Fit Holding Ability / 2.21.2：
Case History: The Flying Hydraulically Fitted Hub / 2.21.3：
Strength of Welds / 2.22：
Fatigue of Welds / 2.23：
Repair of Machinery / 2.24：
Shafts / 2.24.1：
Housing and Cases / 2.24.2：
Gearboxes / 2.24.3：
Sleeve bearings and Bushing Clearances / 2.24.4：
Alignments / 2.24.5：
Acceptable Coupling Offset and Angular Misalignment / 2.24.6：
Vibration Measurements / 2.24.7：
Interpreting Mechanical Failures / 2.25：
Failures with Axial, Bending and Torsional Loading / 2.25.1：
Gear Teeth Failures / 2.25.2：
Spring Failures / 2.25.3：
Bolt Failures / 2.25.4：
Bearing Failures / 2.25.5：
Reading a Bearing / 2.25.6：
Large Gearbox Keyway / Shaft Failures / 2.25.7：
Case History: Sizing a Bushing Running Clearance / 2.26：
Case History: Galling of a Shaft In A Bushing / 2.27：
Case History: Remaining Fatigue Life with Cyclic Stresses / 2.28：
A Procedure for Evaluating Gasket Joints / 2.29：
Gaskets In High Temperature Service / 2.30：
"O" Ring Evaluation / 2.31：
Case History: Gasket Won't Pass Hydrotest / 2.32：
Case History: Heat Exchanger Leak Due to Temperature / 2.33：
Wear of Equipment / 2.34：
Case History: Excessive Wear of a Ball Valve / 2.35：
Vibration Analysis / 3：
Spring /Mass Systems and Resonance / 3.1：
Case History: Critical Speed Problem on Steam Turbine / 3.2：
Determining Vibration Amplitudes / 3.3：
Allowable Levels for X or F at Resonance / 3.3.1：
Case History: Vibratory Torque on Gear of a Ship System / 3.4：
Torsional Vibration / 3.5：
Case History: Torsional Vibration of Motor-Generator-Blower / 3.6：
Vibration Diagnosis and Campbell Diagrams / 3.7：
Case History: The Effect of a Suddenly Applied Torsional Load / 3.8：
Flow Induced Vibrations / 3.9：
Preface
Introduction / 1：
Strength of Materials / 2：
6.
図書
authors, G. Guelachvili, K.Narahari Rao ; editor, G. Guelachvili
目次情報:
続きを見る
CS2 (SCS).
CS2+ (SCS+).
CS2++ (SCS++).
CSe2 (SeCSe).
C2N (CCN).
C2N (CNC).
C2N+ (CCN+).
C2N+ (CNC+).
CS2 (SCS).
CS2+ (SCS+).
CS2++ (SCS++).
7.
図書
Corneliu Constantinescu
目次情報:
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Introduction
Banach Algebras / 2：
Algebras / 2.1：
General Results / 2.1.1：
Invertible Elements / 2.1.2：
The Spectrum / 2.1.3：
Standard Examples / 2.1.4：
Complexification of Algebras / 2.1.5：
Exercises
Normed Algebras / 2.2：
The Standard Examples / 2.2.1：
The Exponential Function and the Neumann Series / 2.2.3：
Invertible Elements of Unital Banach Algebras / 2.2.4：
The Theorems of Riesz and Gelfand / 2.2.5：
Poles of Resolvents / 2.2.6：
Modules / 2.2.7：
Involutive Banach Algebras / 2.3：
Involutive Algebras / 2.3.1：
Sesquilinear Forms / 2.3.2：
Positive Linear Forms / 2.3.4：
The State Space / 2.3.5：
Involutive Modules / 2.3.6：
Gelfand Algebras / 2.4：
The Gelfand Transform / 2.4.1：
Involutive Gelfand Algebras / 2.4.2：
Examples / 2.4.3：
Locally Compact Additive Groups / 2.4.4：
The Fourier Transform / 2.4.5：
Compact Operators / 3：
The General Theory / 3.1：
Fredholm Operators / 3.1.1：
Point Spectrum / 3.1.4：
Spectrum of a Compact Operator / 3.1.5：
Integral Operators / 3.1.6：
Linear Differential Equations / 3.2：
Boundary Value Problems for Differential Equations / 3.2.1：
Supplementary Results / 3.2.2：
Linear Partial Differential Equations / 3.2.3：
Name
Index Subject
Index Symbol
Index
Introduction
Banach Algebras / 2：
Algebras / 2.1：
8.
ＥＢ
Kim-Kwang Raymond Choo
出版情報:
Springer eBooks Computer Science , Springer US, 2009
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Introduction / 1：
The Key Distribution Problem / 1.1：
Solution: Key Establishment Protocols / 1.2：
Computer Security Approach / 1.2.1：
Computational Complexity Approach / 1.2.2：
Research Objectives and Deliverables / 1.2.3：
Structure of Book and Contributions to Knowledge / 1.3：
References
Background Materials / 2：
Mathematical Background / 2.1：
Abstract Algebra and the Main Groups / 2.1.1：
Bilinear Maps from Elliptic Curve Pairings / 2.1.2：
Computational Problems and Assumptions / 2.1.3：
Cryptographic Tools / 2.1.4：
Encryption Schemes: Asymmetric Setting / 2.1.4.1：
Encryption Schemes: Symmetric Setting / 2.1.4.2：
Digital Signature Schemes / 2.1.4.3：
Message Authentication Codes / 2.1.4.4：
Cryptographic Hash Functions / 2.1.4.5：
Random Oracles / 2.1.4.6：
Key Establishment Protocols and their Basis / 2.2：
Protocol Architectures / 2.2.1：
Existing Cryptographic Keys / 2.2.1.1：
Method of Session Key Generation / 2.2.1.2：
Number of Entities / 2.2.1.3：
Protocol Goals and Attacks / 2.2.2：
Protocol Goals / 2.2.2.1：
Additional Security Attributes / 2.2.2.2：
Types of Attacks / 2.2.2.3：
A Need for Rigorous Treatment / 2.2.2.4：
The Computational Complexity Approach / 2.3：
Adversarial Powers / 2.3.1：
Definition of Freshness / 2.3.2：
Definition of Security / 2.3.3：
The Bellare-Rogaway Models / 2.3.4：
The BR93 Model / 2.3.4.1：
The BR95 Model / 2.3.4.2：
The BPR2000 Model / 2.3.4.3：
The Canetti-Krawczyk Model / 2.3.5：
Protocol Security / 2.3.6：
Summary / 2.4：
A Flawed BR95 Partnership Function / 3：
A Flaw in the Security Proof for 3PKD Protocol / 3.1：
The 3PKD Protocol / 3.1.1：
Key Replicating Attack on 3PKD Protocol / 3.1.2：
The Partner Function used in the BR95 Proof / 3.1.3：
A Revised 3PKD Protocol in Bellare-Rogaway Model / 3.2：
Defining SIDs in the 3PKD Protocol / 3.2.1：
An Improved Provably Secure 3PKD Protocol / 3.2.2：
Security Proof for the Improved 3PKD Protocol / 3.2.3：
Adaptive MAC Forger F / 3.2.3.1：
Multiple Eavesdropper Attacker ME / 3.2.3.2：
Conclusion of Proof / 3.2.3.3：
On The Key Sharing Requirement / 3.3：
Bellare-Rogaway 3PKD Protocol in CK2001 Model / 4.1：
New Attack on 3PKD Protocol / 4.1.1：
A New Provably-Secure 3PKD Protocol in CK2001 Model / 4.1.3：
Jeong-Katz-Lee Protocol JP2 / 4.2：
Protocol JP2 / 4.2.1：
New Attack on Protocol JP2 / 4.2.2：
An Improved Protocol JP2 / 4.2.3：
The Key Sharing Requirement / 4.3：
Comparison of Bellare-Rogaway and Canetti-Krawczyk Models / 4.4：
Relating The Notions of Security / 5.1：
Proving BR93 (EA+KE) to BPR2000 (EA+KE) / 5.1.1：
Proof for the key establishment goal / 5.1.1.1：
Proof for the entity authentication goal / 5.1.1.2：
Proving CK2001 to BPR2000 (KE) / 5.1.2：
Proving CK2001 to BR93 (KE) / 5.1.3：
BR93 (KE) to BR95 and BR93 (KE), CK2001 [not left arrow] BR95 / 5.1.4：
BR93 (KE)/CK2001 [not left arrow] BPR2000 (KE) / 5.1.5：
CK2001 [not left arrow] BR93 (EA+KE) / 5.1.6：
BR93 (KE) [not left arrow] CK2001 / 5.1.7：
BPR200 (KE) [not left arrow] BR95 / 5.1.8：
A Drawback in the BPR2000 Model / 5.2：
Case Study: Abdalla-Pointcheval 3PAKE / 5.2.1：
Unknown Key Share Attack on 3PAKE / 5.2.2：
An Extension to the Bellare-Rogaway Model / 5.3：
A Provably-Secure Revised Protocol of Boyd / 6.1：
Secure Authenticated Encryption Schemes / 6.1.1：
Revised Protocol of Boyd / 6.1.2：
Security Proof / 6.1.3：
Integrity attacker / 6.1.3.1：
Confidentiality attacker / 6.1.3.2：
Conclusion of Security Proof / 6.1.3.3：
An Extension to the BR93 Model / 6.2：
An Efficient Protocol in Extended Model / 6.3：
An Efficient Protocol / 6.3.1：
Integrity Breaker / 6.3.2：
Confidentiality Breaker / 6.3.2.2：
Comparative Security and Efficiency / 6.3.2.3：
A Proof of Revised Yahalom Protocol / 6.5：
The Yahalom Protocol and its Simplified Version / 7.1：
A New Provably-Secure Protocol / 7.2：
Proof for Protocol 7.2 / 7.2.1：
Conclusion of Proof for Theorem 7.2.1 / 7.2.1.1：
An Extension to Protocol 7.2 / 7.2.2：
Partnering Mechanism: A Brief Discussion / 7.3：
Errors in Computational Complexity Proofs for Protocols / 7.4：
Boyd-Gonzalez Nieto Protocol / 8.1：
Unknown Key Share Attack on Protocol / 8.1.1：
An Improved Conference Key Agreement Protocol / 8.1.2：
Limitations of Existing Proof / 8.1.3：
Jakobsson-Pointcheval MAKEP / 8.2：
Unknown Key Share Attack on JP-MAKEP / 8.2.1：
Flaws in Existing Security Proof for JP-MAKEP / 8.2.2：
Wong-Chan MAKEP / 8.3：
A New Attack on WC-MAKEP / 8.3.1：
Preventing the Attack / 8.3.2：
Flaws in Existing Security Proof for WC-MAKEP / 8.3.3：
An MT-Authenticator / 8.4：
Encryption-Based MT-Authenticator / 8.4.1：
Flaw in Existing Security Proof Revealed / 8.4.2：
Addressing the Flaw / 8.4.3：
An Example Protocol as a Case Study / 8.4.4：
On Session Key Construction / 8.5：
Chen-Kudla ID-Based Protocol / 9.1：
The ID-Based Protocol / 9.1.1：
Existing Arguments on Restriction of Reveal Query / 9.1.2：
Improved Chen-Kudla Protocol / 9.1.3：
Security Proof for Improved Chen-Kudla Protocol / 9.1.4：
McCullagh-Barreto 2P-IDAKA Protocol / 9.2：
The 2P-IDAKA Protocol / 9.2.1：
Why Reveal Query is Restricted / 9.2.2：
Errors in Existing Proof for 2P-IDAKA Protocol / 9.2.3：
Error 1 / 9.2.3.1：
Error 2 / 9.2.3.2：
Improved 2P-IDAKA Protocol / 9.2.4：
A Proposal for Session Key Construction / 9.3：
Another Case Study / 9.4：
Reflection Attack on Lee-Kim-Yoo Protocol / 9.4.1：
Complementing Computational Protocol Analysis / 9.4.2：
The Formal Framework / 10.1：
Analysing a Provably-Secure Protocol / 10.2：
Protocol Specification / 10.2.1：
Initial State of Protocol 10.1 / 10.2.1.1：
Step 1 of Protocol 10.1 / 10.2.1.2：
A Malicious State Transition / 10.2.1.3：
Protocol Analysis / 10.2.2：
Hijacking Attack / 10.2.2.1：
New Attack 1 / 10.2.2.2：
New Attack 2 / 10.2.2.3：
Analysing Another Two Protocols With Claimed Proofs of Security / 10.3：
Analysis of Protocol 10.2 / 10.3.1：
Analysis of Protocol 10.3 / 10.3.1.2：
Flaws in Refuted Proofs / 10.3.2：
A Possible Fix / 10.3.3：
Analysing Protocols with Heuristic Security Arguments / 10.4：
Case Studies / 10.4.1：
Jan-Chen Mutual Protocol / 10.4.1.1：
Yang-Shen-Shieh Protocol / 10.4.1.2：
Kim-Huh-Hwang-Lee Protocol / 10.4.1.3：
Lin-Sun-Hwang Key Protocols MDHEKE I and II / 10.4.1.4：
Yeh-Sun Key Protocol / 10.4.1.5：
Protocol Analyses / 10.4.2：
Protocol Analysis 1 / 10.4.2.1：
Protocol Analysis 2 / 10.4.2.2：
Protocol Analysis 3 / 10.4.2.3：
Protocol Analysis 4 / 10.4.2.4：
Protocol Analysis 5 / 10.4.2.5：
Protocol Analysis 6 / 10.4.2.6：
Protocol Analysis 7 / 10.4.2.7：
An Integrative Framework to Protocol Analysis and Repair / 10.5：
Case Study Protocol / 11.1：
Proposed Integrative Framework / 11.2：
Protocols Specification / 11.2.1：
Defining SIDs in Protocol 11.1 / 11.2.1.1：
Description of Goal State / 11.2.1.2：
Description of Possible Actions / 11.2.1.3：
Protocols Analysis / 11.2.2：
Protocol Repair / 11.2.3：
Conclusion and Future Work / 11.3：
Research Summary / 12.1：
Open Problems and Future Directions / 12.2：
Index
Introduction / 1：
The Key Distribution Problem / 1.1：
Solution: Key Establishment Protocols / 1.2：
9.
ＥＢ
Kim-Kwang Raymond Choo
出版情報:
SpringerLink Books - AutoHoldings , Springer US, 2009
子書誌情報:
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Introduction / 1：
The Key Distribution Problem / 1.1：
Solution: Key Establishment Protocols / 1.2：
Computer Security Approach / 1.2.1：
Computational Complexity Approach / 1.2.2：
Research Objectives and Deliverables / 1.2.3：
Structure of Book and Contributions to Knowledge / 1.3：
References
Background Materials / 2：
Mathematical Background / 2.1：
Abstract Algebra and the Main Groups / 2.1.1：
Bilinear Maps from Elliptic Curve Pairings / 2.1.2：
Computational Problems and Assumptions / 2.1.3：
Cryptographic Tools / 2.1.4：
Encryption Schemes: Asymmetric Setting / 2.1.4.1：
Encryption Schemes: Symmetric Setting / 2.1.4.2：
Digital Signature Schemes / 2.1.4.3：
Message Authentication Codes / 2.1.4.4：
Cryptographic Hash Functions / 2.1.4.5：
Random Oracles / 2.1.4.6：
Key Establishment Protocols and their Basis / 2.2：
Protocol Architectures / 2.2.1：
Existing Cryptographic Keys / 2.2.1.1：
Method of Session Key Generation / 2.2.1.2：
Number of Entities / 2.2.1.3：
Protocol Goals and Attacks / 2.2.2：
Protocol Goals / 2.2.2.1：
Additional Security Attributes / 2.2.2.2：
Types of Attacks / 2.2.2.3：
A Need for Rigorous Treatment / 2.2.2.4：
The Computational Complexity Approach / 2.3：
Adversarial Powers / 2.3.1：
Definition of Freshness / 2.3.2：
Definition of Security / 2.3.3：
The Bellare-Rogaway Models / 2.3.4：
The BR93 Model / 2.3.4.1：
The BR95 Model / 2.3.4.2：
The BPR2000 Model / 2.3.4.3：
The Canetti-Krawczyk Model / 2.3.5：
Protocol Security / 2.3.6：
Summary / 2.4：
A Flawed BR95 Partnership Function / 3：
A Flaw in the Security Proof for 3PKD Protocol / 3.1：
The 3PKD Protocol / 3.1.1：
Key Replicating Attack on 3PKD Protocol / 3.1.2：
The Partner Function used in the BR95 Proof / 3.1.3：
A Revised 3PKD Protocol in Bellare-Rogaway Model / 3.2：
Defining SIDs in the 3PKD Protocol / 3.2.1：
An Improved Provably Secure 3PKD Protocol / 3.2.2：
Security Proof for the Improved 3PKD Protocol / 3.2.3：
Adaptive MAC Forger F / 3.2.3.1：
Multiple Eavesdropper Attacker ME / 3.2.3.2：
Conclusion of Proof / 3.2.3.3：
On The Key Sharing Requirement / 3.3：
Bellare-Rogaway 3PKD Protocol in CK2001 Model / 4.1：
New Attack on 3PKD Protocol / 4.1.1：
A New Provably-Secure 3PKD Protocol in CK2001 Model / 4.1.3：
Jeong-Katz-Lee Protocol JP2 / 4.2：
Protocol JP2 / 4.2.1：
New Attack on Protocol JP2 / 4.2.2：
An Improved Protocol JP2 / 4.2.3：
The Key Sharing Requirement / 4.3：
Comparison of Bellare-Rogaway and Canetti-Krawczyk Models / 4.4：
Relating The Notions of Security / 5.1：
Proving BR93 (EA+KE) to BPR2000 (EA+KE) / 5.1.1：
Proof for the key establishment goal / 5.1.1.1：
Proof for the entity authentication goal / 5.1.1.2：
Proving CK2001 to BPR2000 (KE) / 5.1.2：
Proving CK2001 to BR93 (KE) / 5.1.3：
BR93 (KE) to BR95 and BR93 (KE), CK2001 [not left arrow] BR95 / 5.1.4：
BR93 (KE)/CK2001 [not left arrow] BPR2000 (KE) / 5.1.5：
CK2001 [not left arrow] BR93 (EA+KE) / 5.1.6：
BR93 (KE) [not left arrow] CK2001 / 5.1.7：
BPR200 (KE) [not left arrow] BR95 / 5.1.8：
A Drawback in the BPR2000 Model / 5.2：
Case Study: Abdalla-Pointcheval 3PAKE / 5.2.1：
Unknown Key Share Attack on 3PAKE / 5.2.2：
An Extension to the Bellare-Rogaway Model / 5.3：
A Provably-Secure Revised Protocol of Boyd / 6.1：
Secure Authenticated Encryption Schemes / 6.1.1：
Revised Protocol of Boyd / 6.1.2：
Security Proof / 6.1.3：
Integrity attacker / 6.1.3.1：
Confidentiality attacker / 6.1.3.2：
Conclusion of Security Proof / 6.1.3.3：
An Extension to the BR93 Model / 6.2：
An Efficient Protocol in Extended Model / 6.3：
An Efficient Protocol / 6.3.1：
Integrity Breaker / 6.3.2：
Confidentiality Breaker / 6.3.2.2：
Comparative Security and Efficiency / 6.3.2.3：
A Proof of Revised Yahalom Protocol / 6.5：
The Yahalom Protocol and its Simplified Version / 7.1：
A New Provably-Secure Protocol / 7.2：
Proof for Protocol 7.2 / 7.2.1：
Conclusion of Proof for Theorem 7.2.1 / 7.2.1.1：
An Extension to Protocol 7.2 / 7.2.2：
Partnering Mechanism: A Brief Discussion / 7.3：
Errors in Computational Complexity Proofs for Protocols / 7.4：
Boyd-Gonzalez Nieto Protocol / 8.1：
Unknown Key Share Attack on Protocol / 8.1.1：
An Improved Conference Key Agreement Protocol / 8.1.2：
Limitations of Existing Proof / 8.1.3：
Jakobsson-Pointcheval MAKEP / 8.2：
Unknown Key Share Attack on JP-MAKEP / 8.2.1：
Flaws in Existing Security Proof for JP-MAKEP / 8.2.2：
Wong-Chan MAKEP / 8.3：
A New Attack on WC-MAKEP / 8.3.1：
Preventing the Attack / 8.3.2：
Flaws in Existing Security Proof for WC-MAKEP / 8.3.3：
An MT-Authenticator / 8.4：
Encryption-Based MT-Authenticator / 8.4.1：
Flaw in Existing Security Proof Revealed / 8.4.2：
Addressing the Flaw / 8.4.3：
An Example Protocol as a Case Study / 8.4.4：
On Session Key Construction / 8.5：
Chen-Kudla ID-Based Protocol / 9.1：
The ID-Based Protocol / 9.1.1：
Existing Arguments on Restriction of Reveal Query / 9.1.2：
Improved Chen-Kudla Protocol / 9.1.3：
Security Proof for Improved Chen-Kudla Protocol / 9.1.4：
McCullagh-Barreto 2P-IDAKA Protocol / 9.2：
The 2P-IDAKA Protocol / 9.2.1：
Why Reveal Query is Restricted / 9.2.2：
Errors in Existing Proof for 2P-IDAKA Protocol / 9.2.3：
Error 1 / 9.2.3.1：
Error 2 / 9.2.3.2：
Improved 2P-IDAKA Protocol / 9.2.4：
A Proposal for Session Key Construction / 9.3：
Another Case Study / 9.4：
Reflection Attack on Lee-Kim-Yoo Protocol / 9.4.1：
Complementing Computational Protocol Analysis / 9.4.2：
The Formal Framework / 10.1：
Analysing a Provably-Secure Protocol / 10.2：
Protocol Specification / 10.2.1：
Initial State of Protocol 10.1 / 10.2.1.1：
Step 1 of Protocol 10.1 / 10.2.1.2：
A Malicious State Transition / 10.2.1.3：
Protocol Analysis / 10.2.2：
Hijacking Attack / 10.2.2.1：
New Attack 1 / 10.2.2.2：
New Attack 2 / 10.2.2.3：
Analysing Another Two Protocols With Claimed Proofs of Security / 10.3：
Analysis of Protocol 10.2 / 10.3.1：
Analysis of Protocol 10.3 / 10.3.1.2：
Flaws in Refuted Proofs / 10.3.2：
A Possible Fix / 10.3.3：
Analysing Protocols with Heuristic Security Arguments / 10.4：
Case Studies / 10.4.1：
Jan-Chen Mutual Protocol / 10.4.1.1：
Yang-Shen-Shieh Protocol / 10.4.1.2：
Kim-Huh-Hwang-Lee Protocol / 10.4.1.3：
Lin-Sun-Hwang Key Protocols MDHEKE I and II / 10.4.1.4：
Yeh-Sun Key Protocol / 10.4.1.5：
Protocol Analyses / 10.4.2：
Protocol Analysis 1 / 10.4.2.1：
Protocol Analysis 2 / 10.4.2.2：
Protocol Analysis 3 / 10.4.2.3：
Protocol Analysis 4 / 10.4.2.4：
Protocol Analysis 5 / 10.4.2.5：
Protocol Analysis 6 / 10.4.2.6：
Protocol Analysis 7 / 10.4.2.7：
An Integrative Framework to Protocol Analysis and Repair / 10.5：
Case Study Protocol / 11.1：
Proposed Integrative Framework / 11.2：
Protocols Specification / 11.2.1：
Defining SIDs in Protocol 11.1 / 11.2.1.1：
Description of Goal State / 11.2.1.2：
Description of Possible Actions / 11.2.1.3：
Protocols Analysis / 11.2.2：
Protocol Repair / 11.2.3：
Conclusion and Future Work / 11.3：
Research Summary / 12.1：
Open Problems and Future Directions / 12.2：
Index
Introduction / 1：
The Key Distribution Problem / 1.1：
Solution: Key Establishment Protocols / 1.2：
10.
ＥＢ
Boy; Herrmann, Wolfgang A. Cornils, Boy Cornils, Wolfgang A. Herrmann
出版情報:
Wiley Online Library - AutoHoldings Books , John Wiley & Sons, Inc., 2004
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Introduction. / 1：
Introduction / B. Cornils, ; W.A. Herrmann.
Basic Aqueous Chemistry. / 2：
Organic Chemistry in Water / A. Lubineau, ; J. Auge, ; M.-C. Scherrmann.2.1：
Origin of the Reactivity in Water. / 2.1.1：
Pericyclic Reactions / 2.1.3：
Diels - Alder Reactions. / 2.1.3.1：
Hetero Diels -Alder Reactions. / 2.1.3.2：
Other Cycloadditions. / 2.1.3.3：
Claisen Rearrangements. / 2.1.3.4：
Carbonyl Additions. / 2.1.4：
Aldol-type Reactions. / 2.1.4.1：
Michael-type Reactions. / 2.1.4.2：
Allylation Reactions. / 2.1.4.3：
Oxido-reductions. / 2.1.5：
Oxidations. / 2.1.5.1：
Reductions. / 2.1.5.2：
Radical Reactions. / 2.1.6：
Outlook. / 2.1.7：
Organometallic Chemistry in Water / W.A. Herrmann, ; F.E. Kuhn.2.2：
Water as a Solvent and Ligand. / 2.2.1：
Organometallic Reactions of Water. / 2.2.3：
Catalytic Reactions with Water. / 2.2.4：
Water-gas Shift Reaction. / 2.2.4.1：
Wacker- Hoechst Acetaldehyde Process. / 2.2.4.2：
Olefin Hydration. / 2.2.4.3：
Hydrodimerization. / 2.2.4.4：
Water-soluble Metal Complexes. / 2.2.5：
Perspectives. / 2.2.6：
Characterization of Organometallic Compounds in Water / G. Laurenczy.2.3：
General Survey. / 2.3.1：
Effect of High Hydrostatic Pressure on Aqueous Organometall lic Systems. / 2.3.3：
Aqueous Organometallics with Pressurized Gases. / 2.3.4：
Concluding Remarks. / 2.3.5：
Catalysts for an Aqueous Catalysis. / 3：
Variation of Central Atoms. / 3.1：
Transition Metals / D.J. Darensbourg, ; C.G. Ortiz.3.1.1：
Water-soluble Catalysts by Virtue of Water-soluble Ligands / 3.1.1.1：
Water-soluble Catalysts through Water Coordination. / 3.1.1.3：
Lanthanides in Aqueous-phase Catalysis / S. Kobayashi.3.1.2：
Aldol Reactions. / 3.1.2.1：
Mannich-type Reactions. / 3.1.2.3：
Micellar Systems. / 3.1.2.4：
Asymmetric Catalysis in Aqueous Media. / 3.1.2.6：
Conclusions / 3.1.2.7：
Variation of Ligands. / 3.2：
Monophosphines / O. Stelzer , ; S. Rossenbach, ; D. Hoff.3.2.1：
General Features, Scope, and Limitations. / 3.2.1.1：
Anionic Phosphines. / 3.2.1.2：
Cationic Phosphines. / 3.2.1.3：
Nonionic Water-soluble Phosphines. / 3.2.1.4：
Diphosphines and Other Phosphines / M. Schreuder Goedheijt, ; P.C.J. Kamer, ; J.N.H. Reek, P.W.N.M. van Leeuwen.3.2.2：
General. / 3.2.2.1：
Diphosphines - Introduction of Sulfonate Groups by Direct Sulfonation. / 3.2.2.2：
Introduction of Sulfonate Groups During Synthesis. / 3.2.2.3：
Diphosphines with Quaternized Aminoalkyl or Aminoaryl Groups. / 3.2.2.4：
Diphosphines with Hydroxyalkyl or Polyether Substituents / 3.2.2.5：
Carboxylated Diphosphines. / 3.2.2.6：
Amphiphilic Diphosphines. / 3.2.2.7：
Other Phosphines. / 3.2.2.8：
Ligands or Complexes Containing Ancillary Functionalities / P. Kalck, ; M. Urrutigoity.3.2.3：
Complexes Containing at Least Two Classical Functionalities. / 3.2.3.1：
Cationic Complexes / 3.2.3.2：
Immobilization on Silica Supports. / 3.2.3.3：
Macromolecular Ligands or Supports. / 3.2.3.4：
Ligands not Containing Phosphorus. / 3.2.3.5：
Additional Perspectives. / 3.2.3.6：
Tenside Ligands / G. Papadogianakis.3.2.4：
Tenside Phosphines and Amines / 3.2.4.1：
Hydroformylation Reactions Catalyzed by Transition Metal Surfactant -Phosphine Complexes. / 3.2.4.3：
Hydrogenation Reactions Catalyzed by Transition Metal Surfactant -Phosphine Complexes. / 3.2.4.4：
Carbonylation Reactions Catalyzed by Transition Metal Surfactant -Phosphine Complexe / 3.2.4.5：
Introduction. / 1：
Introduction / B. Cornils, ; W.A. Herrmann.
Basic Aqueous Chemistry. / 2：
11.
ＥＢ
Alain Nouailhat
出版情報:
Wiley Online Library - AutoHoldings Books , Hoboken : John Wiley & Sons, Inc., 2007
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Foreword
Acknowledgements
Preface
What are Nanos? / Chapter 1：
What are we talking about? / 1.1：
References / 1.2：
Two basic facts / 1.2.1：
Two approaches / 1.2.2：
Two key points / 1.2.3：
Some bonus material for economists / 1.3：
Some Science to Get You Started / Chapter 2：
Quantum physics / 2.1：
From the traditional world to the quantum world / 2.1.1：
Two fundamental concepts / 2.1.2：
Wave-corpuscle duality / 2.1.2.1：
Probability in the quantum world / 2.1.2.2：
The key players / 2.2：
The electron / 2.2.1：
The cornerstone of matter / 2.2.1.1：
Electronic states / 2.2.1.2：
The quantification of energy / 2.2.1.3：
Bonds / 2.2.1.4：
The photon / 2.2.2：
The wave / 2.2.2.1：
The energy grain / 2.2.2.2：
Molecules / 2.3：
From the smallest molecule to the largest and their spectacular properties / 2.3.1：
Functionality / 2.3.2：
Solid matter / 2.4：
Insulators or conductors / 2.4.1：
Semi-conductors / 2.4.2：
Silicon crystal / 2.4.2.1：
Electrons and holes / 2.4.2.2：
Junctions / 2.4.2.3：
Nanomaterials / 2.4.3：
Quantum boxes: between the atom and the crystal / 2.5：
Some bonus material for physicists / 2.6：
Luminescence / 2.6.1：
The laser device / 2.6.2：
The Revolution in Techniques Used in Observation and Imagery / Chapter 3：
Observing with photons / 3.1：
The optical microscope in visible light / 3.1.1：
X-ray machines / 3.1.2：
Observing with electrons / 3.2：
The transmission electron microscope (TEM) / 3.2.1：
The scanning electron microscope (SEM) / 3.2.2：
Touching the atoms / 3.3：
Observing how our brain functions / 3.4：
Nuclear magnetic resonance / 3.4.1：
Functional magnetic resonance imaging / 3.4.2：
Some bonus material for researchers / 3.5：
The Marriage of Software and Hardware / Chapter 4：
Small is beautiful / 4.1：
Miniaturization / 4.2：
Integration / 4.3：
The silicon planet / 4.3.1：
An expanding universe / 4.3.2：
Programs / 4.4：
Some bonus material for mathematicians / 4.5：
Mechanics of the Living World / Chapter 5：
Proteins - molecules with exceptional properties / 5.1：
The program of cellular production / 5.1.1：
Reading instructions and the production of proteins / 5.1.2：
How does it work? / 5.1.3：
Molecular disfunctioning / 5.1.4：
External causes / 5.1.4.1：
Internal causes / 5.1.4.2：
Intervention of human beings / 5.2：
Medication / 5.2.1：
The creation of those famous GMOs (Genetically Modified Organisms) / 5.2.2：
Manipulation of embryos / 5.2.3：
Some bonus material for biologists / 5.3：
The Uses of Nanotechnologies / Chapter 6：
New objects / 6.1：
Carbon in all its states / 6.1.1：
Nanodiamonds / 6.1.1.1：
Carbon nanotubes / 6.1.1.2：
A handful of gold atoms / 6.1.2：
Ground-breaking products / 6.2：
Surface treatment / 6.2.1：
Incorporation in a composite environment / 6.2.2：
From micro to nanosystems / 6.3：
Miniature components - MEMS / 6.3.1：
A print head for inkjet printers / 6.3.1.1：
Airbags / 6.3.1.2：
A microlens for miniaturized optics / 6.3.1.3：
Magnetic disk readheads: quantum nanostructures / 6.3.1.4：
Microsources of energy: key points for embedded systems / 6.3.2：
Micromotors / 6.3.3：
A global integration / 6.4：
Some bonus material for engineers / 6.5：
Nanos are Changing the World / Chapter 7：
A simulation or a virtual world / 7.1：
Understanding nature / 7.2：
Understanding energy / 7.2.1：
Understanding materials / 7.2.2：
Understanding information / 7.2.3：
Understanding life / 7.2.4：
Watch out for nanomedicine / 7.3：
Nanosciences and our future / 7.4：
Essential ethics / 7.5：
Conclusion / 7.6：
Appendices
European Parliament Resolution on Nanosciences and Nanotechnologies / Appendix A：
Eight Guidelines on Nanotechnologies Issued by the CNRS Ethics Committee / Appendix B：
Abbreviations
Bibliography
Figures
Index
Foreword
Acknowledgements
Preface
12.
ＥＢ
Eric Setton, Bernd Girod
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Introduction / 1：
Background / 2：
Video Compression / 2.1：
H.264 Video Coding / 2.1.1：
Distortion Models / 2.1.2：
Video Streaming / 2.2：
Error Resilience / 2.2.1：
Congestion Control / 2.2.2：
Path Diversity / 2.2.3：
Multicast Architectures / 2.3：
IP Multicast / 2.3.1：
Content Delivery Networks / 2.3.2：
Peer-to-Peer Systems / 2.4：
Peer-to-Peer File Transfer, the Example of BitTorrent / 2.4.1：
Peer-to-Peer Streaming / 2.4.2：
Streaming over Throughput-Limited Paths / 3：
Video Encoding for Throughput-Limited Paths / 3.1：
End-to-End Rate-Distortion Performance Model / 3.1.1：
Experimental Results / 3.1.2：
Congestion-Distortion Optimized Scheduling / 3.2：
Channel Model / 3.2.1：
Evaluating a Schedule / 3.2.2：
Randomized Schedule Search / 3.2.3：
CoDiO Light / 3.2.4：
Chapter Summary / 3.2.5：
Peer-to-Peer Control Protocol / 4：
Protocol Description / 4.1：
Different Peer States / 4.1.1：
Different Tree Connection States / 4.1.2：
Multicast Source / 4.1.3：
Protocol Settings / 4.1.4：
Experimental Protocol Evaluation / 4.2：
Experimental Setup / 4.2.1：
Control Protocol Traffic Distribution / 4.2.2：
Join and Rejoin Latency / 4.2.3：
Scalability / 4.2.4：
Limiting Throughput / 4.2.5：
Video Streaming over a Peer-to-Peer Network / 4.3：
Video Streaming Protocol / 5.1：
Video Packet Transmission / 5.1.1：
Retransmissions / 5.1.2：
Peer-to-Peer CoDiO Scheduling / 5.2：
Sender-Driven Prioritization / 5.2.1：
Distortion-Optimized Retransmission Scheduling / 5.2.2：
Scheduler Evaluation / 5.2.3：
Video Sessions / 5.3：
Diversity / 5.3.2：
CoDiO P2P / 5.3.3：
Conclusions and Future Work / 5.4：
Conclusions / 6.1：
Future Work / 6.2：
Video Experiments / A：
Encoding Structures / A.1：
Latency-Constrained Video Streaming / A.1.2：
Error-Resilient Decoding / A.1.3：
Quality Metric / A.1.4：
Video Sequences / A.2：
Container / A.2.1：
Foreman / A.2.2：
Mobile / A.2.3：
Mother & Daughter / A.2.4：
News / A.2.5：
Salesman / A.2.6：
References
Index
Introduction / 1：
Background / 2：
Video Compression / 2.1：
13.
ＥＢ
Eric Setton, Bernd Girod
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Introduction / 1：
Background / 2：
Video Compression / 2.1：
H.264 Video Coding / 2.1.1：
Distortion Models / 2.1.2：
Video Streaming / 2.2：
Error Resilience / 2.2.1：
Congestion Control / 2.2.2：
Path Diversity / 2.2.3：
Multicast Architectures / 2.3：
IP Multicast / 2.3.1：
Content Delivery Networks / 2.3.2：
Peer-to-Peer Systems / 2.4：
Peer-to-Peer File Transfer, the Example of BitTorrent / 2.4.1：
Peer-to-Peer Streaming / 2.4.2：
Streaming over Throughput-Limited Paths / 3：
Video Encoding for Throughput-Limited Paths / 3.1：
End-to-End Rate-Distortion Performance Model / 3.1.1：
Experimental Results / 3.1.2：
Congestion-Distortion Optimized Scheduling / 3.2：
Channel Model / 3.2.1：
Evaluating a Schedule / 3.2.2：
Randomized Schedule Search / 3.2.3：
CoDiO Light / 3.2.4：
Chapter Summary / 3.2.5：
Peer-to-Peer Control Protocol / 4：
Protocol Description / 4.1：
Different Peer States / 4.1.1：
Different Tree Connection States / 4.1.2：
Multicast Source / 4.1.3：
Protocol Settings / 4.1.4：
Experimental Protocol Evaluation / 4.2：
Experimental Setup / 4.2.1：
Control Protocol Traffic Distribution / 4.2.2：
Join and Rejoin Latency / 4.2.3：
Scalability / 4.2.4：
Limiting Throughput / 4.2.5：
Video Streaming over a Peer-to-Peer Network / 4.3：
Video Streaming Protocol / 5.1：
Video Packet Transmission / 5.1.1：
Retransmissions / 5.1.2：
Peer-to-Peer CoDiO Scheduling / 5.2：
Sender-Driven Prioritization / 5.2.1：
Distortion-Optimized Retransmission Scheduling / 5.2.2：
Scheduler Evaluation / 5.2.3：
Video Sessions / 5.3：
Diversity / 5.3.2：
CoDiO P2P / 5.3.3：
Conclusions and Future Work / 5.4：
Conclusions / 6.1：
Future Work / 6.2：
Video Experiments / A：
Encoding Structures / A.1：
Latency-Constrained Video Streaming / A.1.2：
Error-Resilient Decoding / A.1.3：
Quality Metric / A.1.4：
Video Sequences / A.2：
Container / A.2.1：
Foreman / A.2.2：
Mobile / A.2.3：
Mother & Daughter / A.2.4：
News / A.2.5：
Salesman / A.2.6：
References
Index
Introduction / 1：
Background / 2：
Video Compression / 2.1：
14.
図書
H. Haug ... [et al.] ; edited by C. Klingshirn
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Landolt-Börnstein
Group III: Condensed Matter
Semiconductor Quantum Structures / Volume 34：
Optical Properties (Part 2) / Subvolume C2：
Introductory material
Low-dimensional structures of II-VI compounds / 5：
General properties / H. Kalt5.1：
Introduction / 5.1.1：
Some basic properties of bulk II-VI compounds / 5.1.2：
Band-gap energies / 5.1.2.1：
Excitonic properties / 5.1.2.2：
Alignment of electronic bands / 5.1.3：
References for 5.1 / 5.1.4：
Quantum-well structures of II-VI compounds / 5.2：
(Hg,X)Te quantum wells / 5.2.1：
Low-density regime / 5.2.1.1：
Electronic states in quantum wells / 5.2.1.1.1：
Electron-hole and excitonic transitions / 5.2.1.1.2：
Modification of the optical properties by internal fields / 5.2.1.2：
Modification of the optical properties by external fields / 5.2.1.3：
High-density regime and nonlinear optics / 5.2.1.4：
References for 5.2.1 / 5.2.1.5：
CdTe quantum wells / 5.2.2：
Excitonic transitions / 5.2.2.1：
Localized excitons / 5.2.2.1.3：
Polariton effects / 5.2.2.1.4：
Strained quantum wells / 5.2.2.2：
Piezoelectric quantum wells / 5.2.2.2.2：
Hydrostatic pressure / 5.2.2.3：
External electric fields / 5.2.2.3.2：
External magnetic fields / 5.2.2.3.3：
The intermediate-density regime / 5.2.2.4：
Exciton-exciton interaction / 5.2.2.4.1：
Excitonic lasing and optical gain / 5.2.2.4.2：
Biexcitons / 5.2.2.4.3：
The high-density regime / 5.2.2.5：
One-component plasma (2DEG) / 5.2.2.5.1：
Electron-hole plasma / 5.2.2.5.2：
Coherent dynamics and relaxation of optical excitations / 5.2.2.6：
Coherent interactions / 5.2.2.6.1：
Dephasing mechanisms and homogeneous linewidth / 5.2.2.6.2：
Relaxation processes / 5.2.2.6.3：
Transport phenomena of excitons and trions / 5.2.2.6.4：
Radiative and nonradiative recombination / 5.2.2.6.5：
References for 5.2.2 / 5.2.2.7：
(Cd,Zn)Te, (Cd,Mn)Te, and (Cd,Mg)Te quantum wells / 5.2.3：
The intermediate and high-density regimes / 5.2.3.1：
References for 5.2.3 / 5.2.3.4：
ZnTe quantum wells / 5.2.4：
Excitons and polaritons / 5.2.4.1：
Optical nonlinearities and high-density effects / 5.2.4.3：
References for 5.2.4 / 5.2.4.4：
Telluride diluted-magnetic semiconductor quantum-well structures: (Hg,Mn)Te, (Cd,Mn)Te, and (Zn,Mn)Te QWs; Se/Te type-II QWs / 5.2.5：
Zeeman splitting and its applications / 5.2.5.1：
Giant Zeeman splitting / 5.2.5.1.1：
Magnetic-field induced type-I to type-II transition / 5.2.5.1.2：
Interface effects in non-DMS/DMS QW structures / 5.2.5.1.3：
Magnetic-field induced circular birefringence / 5.2.5.1.4：
Coulomb-bound electron-hole pairs and complexes (low-density regime) / 5.2.5.2：
Magnetic polarons / 5.2.5.2.1：
Donor-acceptor pair recombination / 5.2.5.2.3：
The intermediate and high-density regime / 5.2.5.3：
Spin-aligned excitons / 5.2.5.3.1：
Spin-aligned magnetoplasma / 5.2.5.3.2：
Two-dimensional electron or hole gas / 5.2.5.3.3：
Coherent spin dynamics and spin injection / 5.2.5.4：
Spin relaxation / 5.2.5.4.2：
Exciton dephasing and homogeneous broadening / 5.2.5.4.3：
Formation dynamics of magnetic polarons / 5.2.5.4.4：
Recombination processes / 5.2.5.4.5：
References for 5.2.5 / 5.2.5.5：
Telluride/Selenide quantum wells / 5.2.6：
High-density regime and dynamics / 5.2.6.1：
References for 5.2.6 / 5.2.6.3：
HgSe and (Hg,Cd)Se quantum wells / 5.2.7：
References for 5.2.7
CdSe quantum wells / 5.2.8：
High-density regime / 5.2.8.1：
Relaxation dynamics / 5.2.8.3：
References for 5.2.8 / 5.2.8.4：
(Cd,Zn)Se quantum wells / 5.2.9：
Modifications of the optical properties by internal fields / 5.2.9.1：
Piezoelectric fields / 5.2.9.2.1：
Modifications of the optical properties by external fields / 5.2.9.3：
Excitonic interactions and Pauli blocking / 5.2.9.3.1：
Two-photon absorption and second harmonic generation / 5.2.9.4.2：
Localized biexcitons / 5.2.9.4.3：
Excitonic and biexcitonic stimulated emission and optical gain / 5.2.9.4.4：
Fermi-edge singularity / 5.2.9.5：
Correlated electron-hole plasma / 5.2.9.5.2：
Coherent interactions and dephasing / 5.2.9.6：
Transport phenomena / 5.2.9.6.2：
Dynamics of gain and stimulated emission / 5.2.9.6.4：
Radiative and non-radiative recombination / 5.2.9.6.5：
References for 5.2.9 / 5.2.9.7：
ZnSe quantum wells / 5.2.10：
Strain and piezoelectric fields / 5.2.10.1：
Transient internal space charge fields / 5.2.10.2.2：
Electric fields / 5.2.10.3：
Magnetic fields / 5.2.10.3.3：
Excitonic gain and lasing / 5.2.10.4：
Nonlinear optical effects / 5.2.10.4.4：
Optical gain and lasing / 5.2.10.5：
Hot-exciton relaxation / 5.2.10.6：
Lateral transport / 5.2.10.6.4：
References for 5.2.10 / 5.2.10.6.6：
Selenide-based quantum wells containing Be, Mg, or S in the well / 5.2.11：
References for 5.2.11
Selenide diluted-magnetic semiconductor quantum-well structures: (Cd,Mn)Se, (Zn,Mn)Se, and (Zn,Fe)Se QWs / 5.2.12：
Two-dimensional electron gas / 5.2.12.1：
Spin dephasing and relaxation / 5.2.12.4：
Dynamics of magnetic polarons / 5.2.12.4.2：
References for 5.2.12 / 5.2.12.4.3：
Zincblende Sulphide/Selenide type-II quantum wells / 5.2.13：
References for 5.2.13
CdS/ZnS and (Cd,Zn)S/ZnS quantum wells / 5.2.14：
Intermediate and high-density regime / 5.2.14.1：
Exciton dynamics / 5.2.14.4：
References for 5.2.14 / 5.2.14.5：
ZnS/(Zn,Mg)S quantum wells / 5.2.15：
References for 5.2.15
ZnO and (Zn,Cd)O quantum wells / 5.2.16：
Dynamics of optical excitations / 5.2.16.1：
References for 5.2.16 / 5.2.16.5：
Superlattices and coupled quantum-well structures of II-VI compounds / 5.3：
(Hg,X)Te superlattices / 5.3.1：
Electronic states in superlattices / 5.3.1.1：
References for 5.3.1 / 5.3.1.1.2：
CdTe/(Cd,X)Te and (Cd,X)Te/ZnTe superlattices and coupled quantum wells / 5.3.2：
Transient effects and dynamics / 5.3.2.1：
References for 5.3.2 / 5.3.2.5：
Telluride diluted magnetic semiconductor superlattices and coupled quantum wells / 5.3.3：
Electronic states in DMS SLs / 5.3.3.1：
Spin states in DMS SLs / 5.3.3.2：
Polaritons / 5.3.3.3：
Dynamic processes / 5.3.3.5：
References for 5.3.3 / 5.3.3.6：
Telluride/Selenide and Telluride/Sulphide superlattices / 5.3.4：
Electronic states in type-II SLs / 5.3.4.1：
Excitons and isoelectronic traps / 5.3.4.2：
High-excitation regime / 5.3.4.3：
References for 5.3.4 / 5.3.4.5：
CdSe, ZnSe, (Cd,Zn)Se, and (Zn,Mg)(S,Se) superlattices and coupled quantum wells / 5.3.5：
Electronic states in strained-layer superlattices / 5.3.5.1：
Optical functions in superlattices and multiple quantum wells / 5.3.5.1.2：
Magnetic field / 5.3.5.1.3：
References for 5.3.5 / 5.3.5.4：
Selenide DMS superlattices and coupled quantum wells / 5.3.6：
Electronic states in diluted magnetic semiconductor superlattices (DMS SLs) / 5.3.6.1：
Spin-relaxation and spin injection / 5.3.6.1.2：
References for 5.3.6 / 5.3.6.3：
CdSe/CdS and CdS/ZnSe intrinsic Stark superlattices / 5.3.7：
References for 5.3.7 / 5.3.7.1：
Zincblende Sulphide/Selenide superlattices / 5.3.8：
References for 5.3.8
CdS/ZnS, CdS/(Cd,ZnS), and (Cd,Zn)S/ZnS superlattices / 5.3.9：
References for 5.3.9
Quantum-wire structures / 5.4：
Telluride quantum wires / 5.4.1：
Selenide quantum wires / 5.4.1.1：
Electron-phonon coupling / 5.4.2.1：
Optical gain / 5.4.2.1.3：
Exciton recombination / 5.4.2.3：
Sulfide quantum wires / 5.4.3：
Oxide quantum wires / 5.4.4：
Semimagnetic quantum wires / 5.4.5：
Mn-related transitions / 5.4.5.1：
Magneto-optics / 5.4.5.2：
References for 5.4 / 5.4.6：
II-VI Quantum dots I - Nanocrystals / U. Woggon ; S.V. Gaponenko5.5：
HgTe / 5.5.1：
CdTe / 5.5.2：
The low-density regime / 5.5.2.1：
Size-dependent energy states / 5.5.2.1.1：
Splitting of states / 5.5.2.1.2：
Interaction with phonons / 5.5.2.1.3：
Impurity states / 5.5.2.1.4：
Coherent dynamics, relaxation and recombination of optical excitations / 5.5.2.2：
Dot-dot interactions, quantum dot arrays / 5.5.2.5：
(Cd,Hg)Te / 5.5.3：
Cd(Te,Se) and Cd(Te,S) / 5.5.4：
ZnTe / 5.5.5：
HgSe / 5.5.6：
CdSe / 5.5.7：
Biexciton states / 5.5.7.1：
Nonlinear optical coefficients / 5.5.7.2.2：
Stimulated emission and optical gain / 5.5.7.2.3：
Dephasing times and homogeneous linewidth / 5.5.7.3：
Cd(Se,S) / 5.5.7.4.2：
(Cd,Mn)Se / 5.5.8.1：
(Cd,Zn)Se / 5.5.10：
ZnSe / 5.5.11：
HgS / 5.5.11.1：
CdS / 5.5.13：
Nonlinear-optical coefficients / 5.5.13.1：
(Zn,Cd)S / 5.5.13.2.3：
(Zn,Mn)S / 5.5.15：
ZnS / 5.5.16：
CdO / 5.5.16.1：
ZnO / 5.5.18：
References for 5.5 / 5.5.18.1：
II-VI Quantum dots II - Self-organized, epitaxially grown nanostructures / 5.6：
Excitonic states and their fine structure / 5.6.1：
Charged excitons / 5.6.2.1.2：
(Cd,Mn)Te, (Cd,Mg)Te / 5.6.2.1.3：
CdSe and ZnCdSe / 5.6.4：
References for 5.6 / 5.6.6.1：
Landolt-Börnstein
Group III: Condensed Matter
Semiconductor Quantum Structures / Volume 34：
15.
ＥＢ
John Impagliazzo
出版情報:
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16.
ＥＢ
Laura L. Pullum, Majorie A. Darrah, Brian J. Taylor
出版情報:
Wiley Online Library - AutoHoldings Books , John Wiley & Sons, Inc., 2007
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Preface
Acknowledgements
Overview / 1：
Definitions and Conventions / 1.1：
Organization of the Book / 1.2：
Areas of Consideration for Adaptive Systems / 2：
Safety-Critical Adaptive System Example and Experience / 2.1：
Hazard Analysis / 2.2：
Development of a Neural Network Fault Model / 2.2.1：
Requirements for Adaptive Systems / 2.3：
Rule Extraction / 2.4：
What is Rule Extraction? / 2.4.1：
Rule Formats and Definitions / 2.4.2：
Types of Rule Extraction / 2.4.3：
How is Rule Extraction Useful in V&V? / 2.4.4：
Advantages and Disadvantages / 2.4.5：
Modified Life Cycle for Developing Neural Networks / 2.5：
Nested Loop Model of Neural Network Development Process / 2.5.1：
Safety Life Cycle for Hybrid Neural Networks / 2.5.2：
Operational Monitors / 2.6：
Testing Considerations / 2.7：
Interface Testing / 2.7.1：
Function Testing / 2.7.2：
Knowledge Testing / 2.7.3：
Structure Testing / 2.7.4：
Neural Network Testing Tools / 2.7.5：
Training Set Analysis / 2.8：
Training Data with Too Many or Too Few Inputs / 2.8.1：
"The Curse of Dimensionality" / 2.8.2：
Data Redundancy / 2.8.3：
Irrelevant Data / 2.8.4：
Combining Different Data Sets into One / 2.8.5：
Processing the Training Data / 2.8.6：
Data Outliers / 2.8.7：
Use of Rule Extraction/Insertion/Refinement with Training Data / 2.8.8：
Training Data and Operational Monitoring / 2.8.9：
Version Control of the Training Process / 2.8.10：
Stability Analysis / 2.9：
Configuration Management of Neural Network Training and Design / 2.10：
Simulations of Adaptive Systems / 2.11：
Neural Network Visualization / 2.12：
Adaptive System and Neural Network Selection / 2.13：
General Adaptive Systems / 2.13.1：
Neural Network Systems at a High Level / 2.13.2：
Neural Network Systems at a Low Level / 2.13.3：
Neural Network Taxonomy / 2.13.4：
Verification and Validation of Neural Networks - Guidance / 3：
Process: Management / 3.1：
Activity: Management of V&V / 3.1.1：
Process: Acquisition / 3.2：
Activity: Acquisition Support V&V / 3.2.1：
Process: Supply / 3.3：
Activity: Planning V&V / 3.3.1：
Process: Development / 3.4：
Activity: Concept V&V / 3.4.1：
Activity: Requirements V&V / 3.4.2：
Activity; Design V&V / 3.4.3：
Activity: Implementation V&V / 3.4.4：
Activity: Test V&V / 3.4.5：
Activity: Installation and Checkout V&V / 3.4.6：
Process: Operation / 3.5：
Activity: Operation V&V / 3.5.1：
Process: Maintenance / 3.6：
Activity: Maintenance V&V / 3.6.1：
Recent Changes to IEEE Std 1012 / 4：
References / Appendix A：
Acronyms / Appendix B：
Definitions / Appendix C：
Preface
Acknowledgements
Overview / 1：
17.
ＥＢ
John Impagliazzo
出版情報:
SpringerLink Books - AutoHoldings , Springer US, 2006
子書誌情報:
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18.
図書
Thomas Barkowsky
目次情報:
続きを見る
Introduction / 1：
Mental Processing of Geographic Knowledge / 1.1：
Cognitive Maps / 1.1.1：
Mental Construction of Spatial Knowledge: An Example / 1.1.2：
Theses and Assumptions / 1.2：
Knowledge Construction and Human Memory / 1.2.1：
Characteristics of Geographic Knowledge / 1.2.2：
Spatial Knowledge Organization in Long-Term Memory / 1.2.3：
Visual Mental Images and Diagrammatic Reasoning / 1.2.4：
Research Questions and Goals / 1.3：
Research Questions / 1.3.1：
Goals / 1.3.2：
Approach: Experimental Computational Modeling / 1.4：
Computational Cognition / 1.4.1：
Building Computational Models / 1.4.2：
Modeling as Experimental Approach / 1.4.3：
Organization of this Thesis / 1.5：
State of the Art / 2：
Spatial Knowledge Conceptions: Cognitive Maps and Other Metaphors / 2.1：
Rubber Sheet Maps, Cognitive Atlases, Collages, and Geographic Information Systems / 2.1.1：
Spatial Mental Models / 2.1.3：
Other Conceptions / 2.1.4：
Human Memory / 2.2：
Working Memory / 2.2.1：
Long-Term Memory / 2.2.2：
Interacting Memory Systems in Mental Imagery / 2.2.3：
Mental Imagery / 2.3：
The Imagery Debate / 2.3.1：
Psychological and Neuroscientific Foundations / 2.3.2：
The Kosslyn Models / 2.3.3：
The 1980 Model / 2.3.3.1：
The 1994 Model / 2.3.3.2：
Spatial Reasoning / 2.4：
Topology / 2.4.1：
Orientation / 2.4.2：
Distance / 2.4.3：
Shape / 2.4.4：
Computational Geometry / 2.4.5：
Diagrammatic Reasoning / 2.5：
Propositional vs. Analogical Knowledge Representation / 2.5.1：
Types of Diagrammatic Reasoning Systems / 2.5.2：
Examples for Diagrammatic Reasoning Architectures / 2.5.3：
DEPIC-2D / 2.5.3.1：
WHISPER / 2.5.3.2：
Computational Imagery / 2.5.3.3：
Summary / 2.6：
MIRAGE - Developing the Model / 3：
Characteristics of the Model / 3.1：
Evaluating the Working Memory Representation / 3.1.1：
MIRAGE - Outline of the Model / 3.2：
Types of Entities and Spatial Relations in MIRAGE / 3.3：
Entities / 3.3.1：
Relations / 3.3.2：
Subsystems, Structures, and Processes / 3.4：
Long-Term Memory Activation / 3.4.1：
Spatial Knowledge Fragments / 3.4.1.1：
The Hierarchical Long-Term Memory Representation / 3.4.1.2：
The Access Process / 3.4.1.3：
The Activated Long-Term Memory Representation / 3.4.1.4：
The Construction Process / 3.4.1.5：
Visual Mental Image Construction / 3.4.2：
The Enriched Representation / 3.4.2.1：
The Conversion Process / 3.4.2.2：
The Visual Buffer / 3.4.2.3：
The Visualization Process / 3.4.2.4：
Image Inspection / 3.4.3：
The Inspection Result / 3.4.3.1：
The Inspection Process / 3.4.3.2：
Visual Mental Image Construction in Detail / 4：
A More Demanding Scenario / 4.1：
Diagrammatic Representations of Lean Knowledge / 4.2：
Consequences for Image Construction / 4.3：
Relaxation of Spatial Constraints / 4.3.1：
Completion of Qualitative Spatial Relations / 4.3.2：
Interpretation of Qualitative Spatial Relations / 4.3.3：
Image Revision Strategies in MIRAGE / 4.4：
Unstable Images / 4.4.1：
Omission of Facts / 4.4.2：
Revision of Relational Completion / 4.4.3：
Variation of Relational Completion / 4.4.3.1：
Relaxation of Relational Completion / 4.4.3.2：
Revision of Image Specification / 4.4.4：
Depicting Qualitative Spatial Relations / 4.4.4.1：
Depicting Unspecified Spatial Relations / 4.4.4.2：
MIRAGE Implementation / 4.5：
Computational Tools for Modeling: SIMSIS / 5.1：
The Idea of SIMSIS / 5.1.1：
The Aspect Map Model / 5.1.1.1：
Modeling Aspect Maps in SIMSIS / 5.1.1.2：
Depictions, Scenarios, and Interpretations / 5.1.2：
SIMSIS Pictures / 5.1.2.1：
SIMSIS Facts and Scenarios / 5.1.2.2：
SIMSIS Interpretations and Meaning Systems / 5.1.2.3：
Realization of the Model / 5.2：
MIRAGE Structures / 5.2.1：
Entities, Relations, and Spatial Knowledge Fragments / 5.2.1.1：
The Long-Term Memory Representations / 5.2.1.2：
MIRAGE Processes / 5.2.1.3：
The Long-Term Memory Activation Processes / 5.2.2.1：
The Image Construction Processes / 5.2.2.2：
Operation and Behavior of MIRAGE / 5.2.2.3：
Conclusion and Outlook / 6：
Results and Discussion / 6.1：
Reflecting the Theses / 6.2.1：
Spatial Knowledge Construction / 6.2.1.1：
Underdeterminacy in Long-Term Memory / 6.2.1.2：
Fragmentation and Hierarchical Organization / 6.2.1.3：
Visual Mental Imagery / 6.2.1.4：
The Parameters of the Model / 6.2.2：
Explicit Parameters / 6.2.2.1：
Implicit Parameters / 6.2.2.2：
Conclusions / 6.2.3：
Future Work / 6.3：
Extending MIRAGE / 6.3.1：
Geographic Entities and Spatial Relations / 6.3.1.1：
Partially Aggregated Knowledge Structures / 6.3.1.2：
Mental Imagery Functionality / 6.3.1.3：
Parameters of MIRAGE / 6.3.1.4：
Empirical Investigations / 6.3.2：
Use of Default Knowledge / 6.3.2.1：
Control of Image Construction / 6.3.2.2：
Processing Capacity for Mental Images / 6.3.2.3：
Use of Chunking Facilities / 6.3.2.4：
Combination of Propositional and Image-Based Reasoning / 6.3.2.5：
Application Perspectives / 6.3.3：
Adequate Presentation of Visual Information / 6.3.3.1：
External Support of Reasoning in Mental Images / 6.3.3.2：
Bibliography
Index
Introduction / 1：
Mental Processing of Geographic Knowledge / 1.1：
Cognitive Maps / 1.1.1：
19.
ＥＢ
Thomas Barkowsky
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2002
子書誌情報:
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Introduction / 1：
Mental Processing of Geographic Knowledge / 1.1：
Cognitive Maps / 1.1.1：
Mental Construction of Spatial Knowledge: An Example / 1.1.2：
Theses and Assumptions / 1.2：
Knowledge Construction and Human Memory / 1.2.1：
Characteristics of Geographic Knowledge / 1.2.2：
Spatial Knowledge Organization in Long-Term Memory / 1.2.3：
Visual Mental Images and Diagrammatic Reasoning / 1.2.4：
Research Questions and Goals / 1.3：
Research Questions / 1.3.1：
Goals / 1.3.2：
Approach: Experimental Computational Modeling / 1.4：
Computational Cognition / 1.4.1：
Building Computational Models / 1.4.2：
Modeling as Experimental Approach / 1.4.3：
Organization of this Thesis / 1.5：
State of the Art / 2：
Spatial Knowledge Conceptions: Cognitive Maps and Other Metaphors / 2.1：
Rubber Sheet Maps, Cognitive Atlases, Collages, and Geographic Information Systems / 2.1.1：
Spatial Mental Models / 2.1.3：
Other Conceptions / 2.1.4：
Human Memory / 2.2：
Working Memory / 2.2.1：
Long-Term Memory / 2.2.2：
Interacting Memory Systems in Mental Imagery / 2.2.3：
Mental Imagery / 2.3：
The Imagery Debate / 2.3.1：
Psychological and Neuroscientific Foundations / 2.3.2：
The Kosslyn Models / 2.3.3：
The 1980 Model / 2.3.3.1：
The 1994 Model / 2.3.3.2：
Spatial Reasoning / 2.4：
Topology / 2.4.1：
Orientation / 2.4.2：
Distance / 2.4.3：
Shape / 2.4.4：
Computational Geometry / 2.4.5：
Diagrammatic Reasoning / 2.5：
Propositional vs. Analogical Knowledge Representation / 2.5.1：
Types of Diagrammatic Reasoning Systems / 2.5.2：
Examples for Diagrammatic Reasoning Architectures / 2.5.3：
DEPIC-2D / 2.5.3.1：
WHISPER / 2.5.3.2：
Computational Imagery / 2.5.3.3：
Summary / 2.6：
MIRAGE - Developing the Model / 3：
Characteristics of the Model / 3.1：
Evaluating the Working Memory Representation / 3.1.1：
MIRAGE - Outline of the Model / 3.2：
Types of Entities and Spatial Relations in MIRAGE / 3.3：
Entities / 3.3.1：
Relations / 3.3.2：
Subsystems, Structures, and Processes / 3.4：
Long-Term Memory Activation / 3.4.1：
Spatial Knowledge Fragments / 3.4.1.1：
The Hierarchical Long-Term Memory Representation / 3.4.1.2：
The Access Process / 3.4.1.3：
The Activated Long-Term Memory Representation / 3.4.1.4：
The Construction Process / 3.4.1.5：
Visual Mental Image Construction / 3.4.2：
The Enriched Representation / 3.4.2.1：
The Conversion Process / 3.4.2.2：
The Visual Buffer / 3.4.2.3：
The Visualization Process / 3.4.2.4：
Image Inspection / 3.4.3：
The Inspection Result / 3.4.3.1：
The Inspection Process / 3.4.3.2：
Visual Mental Image Construction in Detail / 4：
A More Demanding Scenario / 4.1：
Diagrammatic Representations of Lean Knowledge / 4.2：
Consequences for Image Construction / 4.3：
Relaxation of Spatial Constraints / 4.3.1：
Completion of Qualitative Spatial Relations / 4.3.2：
Interpretation of Qualitative Spatial Relations / 4.3.3：
Image Revision Strategies in MIRAGE / 4.4：
Unstable Images / 4.4.1：
Omission of Facts / 4.4.2：
Revision of Relational Completion / 4.4.3：
Variation of Relational Completion / 4.4.3.1：
Relaxation of Relational Completion / 4.4.3.2：
Revision of Image Specification / 4.4.4：
Depicting Qualitative Spatial Relations / 4.4.4.1：
Depicting Unspecified Spatial Relations / 4.4.4.2：
MIRAGE Implementation / 4.5：
Computational Tools for Modeling: SIMSIS / 5.1：
The Idea of SIMSIS / 5.1.1：
The Aspect Map Model / 5.1.1.1：
Modeling Aspect Maps in SIMSIS / 5.1.1.2：
Depictions, Scenarios, and Interpretations / 5.1.2：
SIMSIS Pictures / 5.1.2.1：
SIMSIS Facts and Scenarios / 5.1.2.2：
SIMSIS Interpretations and Meaning Systems / 5.1.2.3：
Realization of the Model / 5.2：
MIRAGE Structures / 5.2.1：
Entities, Relations, and Spatial Knowledge Fragments / 5.2.1.1：
The Long-Term Memory Representations / 5.2.1.2：
MIRAGE Processes / 5.2.1.3：
The Long-Term Memory Activation Processes / 5.2.2.1：
The Image Construction Processes / 5.2.2.2：
Operation and Behavior of MIRAGE / 5.2.2.3：
Conclusion and Outlook / 6：
Results and Discussion / 6.1：
Reflecting the Theses / 6.2.1：
Spatial Knowledge Construction / 6.2.1.1：
Underdeterminacy in Long-Term Memory / 6.2.1.2：
Fragmentation and Hierarchical Organization / 6.2.1.3：
Visual Mental Imagery / 6.2.1.4：
The Parameters of the Model / 6.2.2：
Explicit Parameters / 6.2.2.1：
Implicit Parameters / 6.2.2.2：
Conclusions / 6.2.3：
Future Work / 6.3：
Extending MIRAGE / 6.3.1：
Geographic Entities and Spatial Relations / 6.3.1.1：
Partially Aggregated Knowledge Structures / 6.3.1.2：
Mental Imagery Functionality / 6.3.1.3：
Parameters of MIRAGE / 6.3.1.4：
Empirical Investigations / 6.3.2：
Use of Default Knowledge / 6.3.2.1：
Control of Image Construction / 6.3.2.2：
Processing Capacity for Mental Images / 6.3.2.3：
Use of Chunking Facilities / 6.3.2.4：
Combination of Propositional and Image-Based Reasoning / 6.3.2.5：
Application Perspectives / 6.3.3：
Adequate Presentation of Visual Information / 6.3.3.1：
External Support of Reasoning in Mental Images / 6.3.3.2：
Bibliography
Index
Introduction / 1：
Mental Processing of Geographic Knowledge / 1.1：
Cognitive Maps / 1.1.1：
20.
図書
Robert Alicki and Mark Fannes
出版情報:
Oxford : Oxford University Press, c2001 xiv, 278 p. ; 24 cm
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Introduction / 1：
Basic tools for quantum mechanics / 2：
Hilbert spaces and operators / 2.1：
Vector spaces / 2.1.1：
Banach and Hilbert spaces / 2.1.2：
Geometrical properties of Hilbert spaces / 2.1.3：
Orthonormal bases / 2.1.4：
Subspaces and projectors / 2.1.5：
Linear maps between Banach spaces / 2.1.6：
Linear functionals and Dirac notation / 2.1.7：
Adjoints of bounded operators / 2.1.8：
Hermitian, unitary and normal operators / 2.1.9：
Partial isometries and polar decomposition / 2.1.10：
Spectra of operators / 2.1.11：
Unbounded operators / 2.1.12：
Measures / 2.2：
Measures and integration / 2.2.1：
Distributions / 2.2.2：
Hilbert spaces of functions / 2.2.3：
Spectral measures / 2.2.4：
Probability in quantum mechanics / 2.3：
Pure states / 2.3.1：
Mixed states, density matrices / 2.3.2：
Observables in quantum mechanics / 2.4：
Compact operators / 2.4.1：
Weyl quantization / 2.4.2：
Composed systems / 2.5：
Direct sums / 2.5.1：
Tensor products / 2.5.2：
Observables and states of composite systems / 2.5.3：
Notes / 2.6：
Deterministic dynamics / 3：
Deterministic quantum dynamics / 3.1：
Time-independent Hamiltonians / 3.1.1：
Perturbations of Hamiltonians / 3.1.2：
Time-dependent Hamiltonians / 3.1.3：
Periodic perturbations and Floquet operators / 3.1.4：
Kicked dynamics / 3.1.5：
Classical limits / 3.2：
Classical differentiable dynamics / 3.3：
Self-adjoint Laplacians on compact manifolds / 3.4：
Spin chains / 3.5：
Local observables / 4.1：
States of a spin system / 4.2：
Symmetries and dynamics / 4.3：
Algebraic tools / 5：
C*-algebras / 5.1：
Examples / 5.2：
States and representations / 5.3：
Dynamical systems and von Neumann algebras / 5.4：
Fermionic dynamical systems / 5.5：
Fermions in Fock space / 6.1：
Fock space / 6.1.1：
Creation and annihilation / 6.1.2：
Second quantization / 6.1.3：
The CAR-algebra / 6.2：
Canonical anticommutation relations / 6.2.1：
Quasi-free automorphisms / 6.2.2：
Quasi-free states / 6.2.3：
Ergodic theory / 6.3：
Ergodicity in classical systems / 7.1：
Ergodicity in quantum systems / 7.2：
Asymptotic Abelianness / 7.2.1：
Multitime correlations / 7.2.2：
Fluctuations around ergodic means / 7.2.3：
Lyapunov exponents / 7.3：
Classical dynamics / 7.3.1：
Quantum dynamics / 7.3.2：
Quantum irreversibility / 7.4：
Measurement theory / 8.1：
Open quantum systems / 8.2：
Complete positivity / 8.3：
Quantum dynamical semigroups / 8.4：
Quasi-free completely positive maps / 8.5：
Entropy / 8.6：
von Neumann entropy / 9.1：
Technical preliminaries / 9.1.1：
Properties of von Neumann's entropy / 9.1.2：
Mean entropy / 9.1.3：
Entropy of quasi-free states / 9.1.4：
Relative entropy / 9.2：
Finite-dimensional case / 9.2.1：
Maximum entropy principle / 9.2.2：
Algebraic setting / 9.2.3：
Dynamical entropy / 9.3：
Operational partitions / 10.1：
Symbolic dynamics / 10.2：
The entropy / 10.2.2：
Some technical results / 10.3：
The quantum shift / 10.4：
The free shift / 10.4.2：
Infinite entropy / 10.4.3：
Powers-Price shifts / 10.4.4：
Classical dynamical entropy / 10.5：
The Kolmogorov-Sinai invariant / 11.1：
H-density / 11.2：
Finite quantum systems / 12：
Quantum chaos / 12.1：
Time scales / 12.1.1：
Spectral statistics / 12.1.2：
Semi-classical limits / 12.1.3：
The kicked top / 12.2：
The model / 12.2.1：
The classical limit / 12.2.2：
Kicked mean-field Heisenberg model / 12.2.3：
Chaotic properties / 12.2.4：
Gram matrices / 12.3：
Entropy production / 12.4：
Model systems / 12.5：
Entropy of the quantum cat map / 13.1：
Ruelle's inequality / 13.2：
Non-commutative Riemannian structures / 13.2.1：
Non-commutative Lyapunov exponents / 13.2.2：
Quasi-free Fermion dynamics / 13.2.3：
Description of the model / 13.3.1：
Main result / 13.3.2：
Sketch of the proof / 13.3.3：
Epilogue / 13.4：
References
Index
Introduction / 1：
Basic tools for quantum mechanics / 2：
Hilbert spaces and operators / 2.1：
21.
図書
Hans Bisswanger
出版情報:
Weinheim : WILEY-VCH, c2008 xviii, 301 p. ; 25 cm
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Preface to the Second English Edition
Preface to the First English Edition
Symbols and Abbreviations
Introduction and Definitions
References
Multiple Equilibria / 1：
Diffusion / 1.1：
Interaction between Macromolecules and Ligands / 1.2：
Binding Constants / 1.2.1：
Macromolecules with One Binding Site / 1.2.2：
Macromolecules with Identical Independent Binding Sites / 1.3：
General Binding Equation / 1.3.1：
Graphic Representations of the Binding Equation / 1.3.2：
Direct and Linear Diagrams / 1.3.2.1：
Analysis of Binding Data from Spectroscopic Titrations / 1.3.2.2：
Binding of Different Ligands, Competition / 1.3.3：
Non-competitive Binding / 1.3.4：
Macromolecules with Non-identical, Independent Binding Sites / 1.4：
Macromolecules with Identical, Interacting Binding Sites, Cooperativity / 1.5：
The Hill Equation / 1.5.1：
The Adair Equation / 1.5.2：
The Pauling Model / 1.5.3：
Allosteric Enzymes / 1.5.4：
The Symmetry or Concerted Model / 1.5.5：
The Sequential Model and Negative Cooperativity / 1.5.6：
Analysis of Cooperativity / 1.5.7：
Physiological Aspects of Cooperativity / 1.5.8：
Examples of Allosteric Enzymes / 1.5.9：
Hemoglobin / 1.5.9.1：
Aspartate Transcarbamoylase / 1.5.9.2：
Aspartokinase / 1.5.9.3：
Phosphofructokinase / 1.5.9.4：
Allosteric Regulation of the Glycogen Metabolism / 1.5.9.5：
Membrane Bound Enzymes and Receptors / 1.5.9.6：
Non-identical, Interacting Binding Sites / 1.6：
Enzyme Kinetics / 2：
Reaction Order / 2.1：
First Order Reactions / 2.1.1：
Second Order Reactions / 2.1.2：
Zero Order Reactions / 2.1.3：
Steady-State Kinetics and the Michaelis-Menten Equation / 2.2：
Derivation of the Michaelis-Menten Equation / 2.2.1：
Analysis of Enzyme Kinetic Data / 2.3：
Graphical Representations of the Michaelis-Menten Equation / 2.3.1：
Direct and Semi-logarithmic Representations / 2.3.1.1：
Direct Linear Plots / 2.3.1.2：
Linearization Methods / 2.3.1.3：
Analysis of Progress Curves / 2.3.2：
Integrated Michaelis-Menten Equation / 2.3.2.1：
Determination of Reaction Rates / 2.3.2.2：
Graphic Methods for Rate Determination / 2.3.2.3：
Graphic Determination of True Initial Rates / 2.3.2.4：
Reversible Enzyme Reactions / 2.4：
Rate Equation for Reversible Enzyme Reactions / 2.4.1：
The Haldane Relationship / 2.4.2：
Product Inhibition / 2.4.3：
Enzyme Inhibition / 2.5：
Unspecific Enzyme Inhibition / 2.5.1：
Irreversible Enzyme Inhibition / 2.5.2：
General Features of Irreversible Enzyme Inhibition / 2.5.2.1：
Suicide Substrates / 2.5.2.2：
Transition State Analogs / 2.5.2.3：
Analysis of Irreversible Inhibitions / 2.5.2.4：
Reversible Enzyme Inhibition / 2.5.3：
General Rate Equation / 2.5.3.1：
Non-Competitive Inhibition and Graphic Representation of Inhibition Data / 2.5.3.2：
Competitive Inhibition / 2.5.3.3：
Uncompetitive Inhibition / 2.5.3.4：
Partially Non-competitive Inhibition / 2.5.3.5：
Partially Uncompetitive Inhibition / 2.5.3.6：
Partially Competitive Inhibition / 2.5.3.7：
Noncompetitive and Uncompetitive Product Inhibition / 2.5.3.8：
Substrate Inhibition / 2.5.3.9：
Enzyme Reactions with Two Competing Substrates / 2.5.4：
Different Enzymes Catalyzing the Same Reaction / 2.5.5：
Multi-substrate Reactions / 2.6：
Nomenclature / 2.6.1：
Random Mechanism / 2.6.2：
Ordered Mechanism / 2.6.3：
Ping-pong Mechanism / 2.6.4：
Product Inhibition in Multi-substrate Reactions / 2.6.5：
Haldane Relationships in Multi-substrate Reactions / 2.6.6：
Mechanisms with more than Two Substrates / 2.6.7：
Other Nomenclatures for Multi-substrate Reactions / 2.6.8：
Derivation of Rate Equations of Complex Enzyme Mechanisms / 2.7：
King-Altmann Method / 2.7.1：
Simplified Derivations Applying Graph Theory / 2.7.2：
Combination of Equilibrium and Steady State Approach / 2.7.3：
Kinetic Treatment of Allosteric Enzymes / 2.8：
Hysteretic Enzymes / 2.8.1：
Kinetic Cooperativity, the Slow Transition Model / 2.8.2：
pH and Temperature Dependence of Enzymes / 2.9：
pH Optimum and Determination of pK Values / 2.9.1：
pH Stability / 2.9.2：
Temperature Dependence / 2.9.3：
Isotope Exchange / 2.10：
Isotope Exchange Kinetics / 2.10.1：
Isotope Effects / 2.10.2：
Primary Kinetic Isotope Effect / 2.10.2.1：
Influence of the Kinetic Isotope Effect on V and Km / 2.10.2.2：
Other Isotope Effects / 2.10.2.3：
Special Enzyme Mechanisms / 2.11：
Ribozymes / 2.11.1：
Polymer Substrates / 2.11.2：
Kinetics of Immobilized Enzymes / 2.11.3：
External Diffusion Limitation / 2.11.3.1：
Internal Diffusion Limitation / 2.11.3.2：
Inhibition of Immobilized Enzymes / 2.11.3.3：
pH and Temperature Behavior of Immobilized Enzymes / 2.11.3.4：
Transport Processes / 2.11.4：
Enzyme Reactions at Membrane Interfaces / 2.11.5：
Application of Statistical Methods in Enzyme Kinetics / 2.12：
General Remarks / 2.12.1：
Statistical Terms Used in Enzyme Kinetics / 2.12.2：
Methods / 3：
Methods for Investigation of Multiple Equilibria / 3.1：
Equilibrium Dialysis and General Aspects of Binding Measurements / 3.1.1：
Equilibrium Dialysis / 3.1.1.1：
Control Experiments and Sources of Error / 3.1.1.2：
Continuous Equilibrium Dialysis / 3.1.1.3：
Ultrafiltration / 3.1.2：
Gel Filtration / 3.1.3：
Batch Method / 3.1.3.1：
The Method of Hummel and Dreyer / 3.1.3.2：
Other Gel Filtration Methods / 3.1.3.3：
Ultracentrifugation / 3.1.4：
Fixed Angle Ultracentrifugation Methods / 3.1.4.1：
Sucrose Gradient Centrifugation / 3.1.4.2：
Surface Plasmon Resonance / 3.1.5：
Electrochemical Methods / 3.2：
The Oxygen Electrode / 3.2.1：
The CO2 Electrode / 3.2.2：
Potentiometry, Redox Potentials / 3.2.3：
The pH-stat / 3.2.4：
Polarography / 3.2.5：
Calorimetry / 3.3：
Spectroscopic Methods / 3.4：
Absorption Spectroscopy / 3.4.1：
The Lambert-Beer Law / 3.4.1.1：
Spectral Properties of Enzymes and Ligands / 3.4.1.2：
Structure of Spectrophotometers / 3.4.1.3：
Double Beam Spectrophotometer / 3.4.1.4：
Difference Spectroscopy / 3.4.1.5：
The Dual Wavelength Spectrophotometer / 3.4.1.6：
Photochemical Action Spectra / 3.4.1.7：
Bioluminescence / 3.4.2：
Fluorescence / 3.4.3：
Quantum Yield / 3.4.3.1：
Structure of Spectrofluorimeters / 3.4.3.2：
Perturbations of Fluorescence Measurements / 3.4.3.3：
Fluorescent Compounds (Fluorophores) / 3.4.3.4：
Radiationless Energy Transfer / 3.4.3.5：
Fluorescence Polarization / 3.4.3.6：
Pulse Fluorimetry / 3.4.3.7：
Circular Dichroism and Optical Rotation Dispersion / 3.4.4：
Infrared and Raman Spectroscopy / 3.4.5：
IR Spectroscopy / 3.4.5.1：
Raman Spectroscopy / 3.4.5.2：
Applications / 3.4.5.3：
Electron Paramagnetic Resonance Spectroscopy / 3.4.6：
Measurement of Fast Reactions / 3.5：
Flow Methods / 3.5.1：
The Continuous Flow Method / 3.5.1.1：
The Stopped-flow Method / 3.5.1.2：
Measurement of Enzyme Reactions by Flow Methods / 3.5.1.3：
Determination of the Dead Time / 3.5.1.4：
Relaxation Methods / 3.5.2：
The Temperature Jump Method / 3.5.2.1：
The Pressure Jump Method / 3.5.2.2：
The Electric Field Method / 3.5.2.3：
Flash Photolysis, Pico- and Femto-second Spectroscopy / 3.5.3：
Evaluation of Rapid Kinetic Reactions (Transient Kinetics) / 3.5.4：
Subject Index
Preface to the Second English Edition
Preface to the First English Edition
Symbols and Abbreviations
22.
ＥＢ
John Gerhard Erickson, Paul Fears Wiley, Vernon Paul Wystrach
出版情報:
Wiley Online Library - AutoHoldings Books , John Wiley & Sons, Inc., 2007
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23.
図書
editors, Hisham Z. Massoud ... [et al.]
24.
ＥＢ
Zivorad R. Lazic
出版情報:
Wiley Online Library - AutoHoldings Books , John Wiley & Sons, Inc., 2004
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Preface
Discrete Distributions / I Introduction to Statistics for Engineers：
Continuous Distribution / 1.1.2：
Normal Distributions / 1.1.3：
Statistical Inference / 1.2：
Statistical Hypotheses / 1.2.1：
Statistical Estimation / 1.3：
Point Estimates / 1.3.1：
Interval Estimates / 1.3.2：
Control Charts / 1.3.3：
Control of Type II error-b / 1.3.4：
Sequential Tests / 1.3.5：
Tests and Estimates on Statistical Variance / 1.4：
Analysis of Variance / 1.5：
Regression analysis / 1.6：
Simple Linear Regression / 1.6.1：
Multiple Regression / 1.6.2：
Polynomial Regression / 1.6.3：
Nonlinear Regression / 1.6.4：
Correlation Analysis / 1.7：
Correlation in Linear Regression / 1.7.1：
Correlation in Multiple Linear Regression / 1.7.2：
Design and Analysis of Experiments / II：
Introduction to Design of Experiments (DOE) / 2.0：
Preliminary Examination of Subject of Research / 2.1：
Defining Research Problem / 2.1.1：
Selection of the Responses / 2.1.2：
Selection of Factors, Levels and Basic Level / 2.1.3：
Measuring Errors of Factors and Responses / 2.1.4：
Screening Experiments / 2.2：
Preliminary Ranking of the Factors / 2.2.1：
Active Screening Experiment-Method of Random Balance / 2.2.2：
Active Screening Experiment Plackett-Burman Designs / 2.2.3：
Completely Randomized Block Design
Latin Squares / 2.2.4：
Graeco-Latin Square / 2.2.5：
Youdens Squares / 2.2.6：
Basic Experiment-Mathematical Modeling / 2.3：
Full Factorial Experiments and Fractional Factorial Experiments / 2.3.1：
Second-order Rotatable Design (Box-Wilson Design) / 2.3.2：
Orthogonal Second-order Design (Box-Benken Design) / 2.3.3：
D-optimality, B k -designs and Hartleys Second-order Designs / 2.3.4：
Conclusion after Obtaining Second-order Model / 2.3.5：
Statistical Analysis / 2.4：
Determination of Experimental Error / 2.4.1：
Significance of the Regression Coefficients / 2.4.2：
Lack of Fit of Regression Models / 2.4.3：
Experimental Optimization of Research Subject / 2.5：
Problem of Optimization / 2.5.1：
Gradient Optimization Methods / 2.5.2：
Nongradient Methods of Optimization / 2.5.3：
Simplex Sum Rotatable Design / 2.5.4：
Canonical Analysis of the Response surface / 2.6：
Examples of Complex Optimizations / 2.7：
Mixture Design "Composition-Property" / III：
Screening Design "Composition-Property" / 3.1：
Simplex Lattice Screening Designs / 3.1.1：
Full Factorial Combined with Mixture Design-Crossed Design / 3.1.2：
Answers to Selected Problems / Appendix.A.1：
Tables of Statistical Functions / A.2：
Index
Preface
Discrete Distributions / I Introduction to Statistics for Engineers：
Continuous Distribution / 1.1.2：
25.
ＥＢ
Mahmoud Hamdan, Dominic M. Desiderio, Mahmoud H. Hamdan
出版情報:
Wiley Online Library - AutoHoldings Books , Hoboken : John Wiley & Sons, Inc., 2007
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Preface
Acknowledgments
Introduction
Overview / 1：
Cancer Biomarkers / 1.1：
Phases of Biomarkers Development / 1.3：
New Approach to Biomarkers Discovery / 1.4：
New and Powerful Technologies / 1.4.1：
Promising Sources for Biomarkers / 1.4.2：
DNA Methylation / 1.4.2.1：
Mitochondrial DNA Mutations / 1.4.2.2：
Phosphatidylinositol-3 Kinases (PI3Ks) / 1.4.2.3：
Profi ling Tyrosine Phosphorylation / 1.4.2.4：
Proteins Expression / 1.4.2.5：
Initiatives Relevant to Biomarkers Discovery / 1.5：
Initiatives of the Human Proteome Organization (HUPO) / 1.5.1：
Data Mining in Cancer Research / 1.5.2：
Concluding Remarks / 1.6：
References
Proteomic Platforms for Biomarkers Discovery / 2：
Surface Enhanced Laser Desorption Ionization / 2.1：
Some Basic Considerations / 2.1.1：
Protein Capture Surfaces / 2.1.2：
Enrichment/prefractionation Prior to SELDI Analysis / 2.1.3：
Combinatorial Affi nity / 2.1.3.1：
Magnetic Beads / 2.1.3.2：
Stacked Sorbents / 2.1.3.3：
Organic Solvent Extraction / 2.1.3.4：
Bioinformatics in SELDI / 2.2：
Some Representative SELDI Applications / 2.3：
Addressing Reproducibility in SELDI Analysis / 2.3.1：
Limitations and Other Open Questions Regarding Current SELDI / 2.3.2：
Other Open Questions / 2.3.3：
Outlook / 2.3.4：
Two-dimensional Polyacrylamide Gel Electrophoresis / 2.4：
Sample Preparation / 2.4.1：
Reducing Sample Complexity / 2.4.2：
Various Nomenclatures In-gel Analysis / 2.4.3：
Multiple-gels Two-dimensional Analyses / 2.4.3.1：
Two-dimensional DIGE Analysis / 2.4.3.2：
Multiphoton Detection Imaging / 2.4.3.3：
Stable-isotope Labeling with Amino Acids in Cell Culture (SILAC) / 2.4.3.4：
Laser Capture Microdissection / 2.5：
MS Analysis of Gel-separated Proteins / 2.6：
Representative Applications of 2-DE for Biomarkers Discovery / 2.7：
Protein Microarrays / 2.8：
Analytical Protein Microarrays / 2.8.1：
Substrates and Protein Attachment Methods / 2.8.2：
Detection Strategies / 2.8.3：
Surface Plasmon Resonance (SPR) / 2.8.3.1：
Atomic Force Microscopy (AFM) / 2.8.3.2：
Enzyme-linked Immunosorbent Assay (ELISA) / 2.8.3.3：
Radio Isotope Labeling / 2.8.3.4：
Fluorescence Detection / 2.8.3.5：
Functional Protein Microarrays / 2.8.4：
Reverse-phase Protein Microarrays / 2.8.5：
Future Prospects / 2.8.6：
Multidimensional Liquid Chromatography Coupled to MS / 2.9：
Protein Labeling / 2.9.1：
Labeling a Specifi c Amino Acid / 2.9.2：
Stable Isotope Incorporation / 2.9.3：
Limitations of Labeling / 2.9.4：
Chromatographic Separation / 2.10：
Three Dimensional Separation / 2.10.1：
Two-dimensional Chromatography / 2.10.2：
Basic Considerations Regarding MudPIT / 2.10.3：
Mass Spectrometry and Data Analysis / 2.10.4：
Data Analysis and Interpretation / 2.10.5：
Application of Multidimensional Chromatography/MS / 2.10.6：
Outlook for Multidimensional LC/MS / 2.10.7：
Imaging Mass Spectrometry / 2.11：
Tissue Preparation and Matrix Application / 2.11.1：
MS Acquisition / 2.11.2：
Some Representative Applications of Imaging MS / 2.11.3：
Current Limitations and Potential Developments / 2.11.4：
Some Existing Cancer Biomarkers / 3：
Historic Glimpse at PSA / 3.1：
Prostate-specifi c Antigen / 3.3：
PSA as a Screening Marker / 3.4：
Improving the Specifi city of PSA / 3.5：
Free/Complexed PSA / 3.5.1：
PSA Isoforms / 3.5.2：
Impact of Age, Race, and PSA Velocity / 3.5.3：
Looking for Other Solutions / 3.6：
Genetic Alterations / 3.6.1：
Phosphorylated Akt / 3.6.2：
Existing Biomarkers for Ovarian Cancer / 3.7：
Preface
Acknowledgments
Introduction
26.
ＥＢ
Abhishek Singh., Abhishek Singh, Baibhav Singh
出版情報:
Springer eBooks Computer Science , Springer US, 2009
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Assembly Language
Introduction / 1.0：
Registers / 1.1：
General Purpose Register / 1.1.1：
FLAGS Register / 1.1.2：
80x86 Instruction Format / 1.2：
Instruction Prefix / 1.2.1：
Lock and Repeat Prefixes / 1.2.2：
Segment Override Prefixes / 1.2.3：
Opcode / 1.2.4：
Instructions / 1.3：
Basic Instructions / 1.3.1：
Floating Point Instruction / 1.3.2：
Stack Setup / 1.4：
Passing Parameters in C to the Procedure / 1.4.1：
Local Data Space on the Stack / 1.4.2：
Calling Conventions / 1.5：
cdecl calling convention / 1.5.1：
fastcall calling convention / 1.5.2：
stdcall calling convention / 1.5.3：
thiscall / 1.5.4：
Data Constructs / 1.6：
Global Variables / 1.6.1：
Local Variables / 1.6.2：
Imported Variables / 1.6.3：
Thread Local Storage (TLS) / 1.6.5：
Executable Data Section / 1.6.6：
Representation of Arithmetic Operations in Assembly / 1.7：
Multiplication / 1.7.1：
Division / 1.7.2：
Modulo / 1.7.3：
Representation of Data Structure in Assembly / 1.8：
Representation of Array in Assembly / 1.8.1：
Representation of Linked List in Assembly / 1.8.2：
Virtual Function Call in Assembly / 1.9：
Representation of classes in Assembly / 1.9.1：
Conclusion / 1.10：
Fundamental of Windows
Memory Management / 2.0：
Virtual Memory Management / 2.1.1：
Virtual Memory Management in Windows NT / 2.1.1.1：
Impact of Hooking / 2.1.1.2：
Segmented Memory Management / 2.1.2：
Paged Memory Management / 2.1.3：
Kernel Memory and User Memory / 2.2：
Kernel Memory Space / 2.2.1：
Section Object / 2.2.2：
Virtual Address Descriptor / 2.3：
User Mode Address Space / 2.3.1：
Memory Management in Windows / 2.3.2：
Objects and Handles / 2.3.3：
Named Objects / 2.3.4：
Processes and Threads / 2.4：
Context Switching / 2.4.1：
Context Switches and Mode Switches / 2.4.1.1：
Synchronization Objects / 2.4.2：
Critical Section / 2.4.2.1：
Mutex / 2.4.2.2：
Semaphore / 2.4.2.3：
Event / 2.4.2.4：
Metered Section / 2.4.2.5：
Process Initialization Sequence / 2.5：
Application Programming Interface / 2.5.1：
Reversing Windows NT / 2.6：
ExpEchoPoolCalls / 2.6.1：
ObpShowAllocAndFree / 2.6.2：
LpcpTraceMessages / 2.6.3：
MmDebug / 2.6.4：
NtGlobalFlag / 2.6.5：
SepDumpSD / 2.6.6：
CmLogLevel and CmLogSelect / 2.6.7：
Security Features in Vista / 2.7：
Address Space Layout Randomization (ASLR) / 2.7.1：
Stack Randomization / 2.7.2：
Heap Defenses / 2.7.3：
NX / 2.7.4：
/GS / 2.7.5：
Pointer Encoding / 2.7.6：
Cryptographic API in Windows Vista / 2.7.7：
Crypto-Agility / 2.7.8：
CryptoAgility in CNG / 2.7.9：
Algorithm Providers / 2.7.10：
Random Number Generator / 2.7.11：
Hash Functions / 2.7.12：
Symmetric Encryption / 2.7.13：
Asymmetric Encryption / 2.7.14：
Signatures and Verification / 2.7.15：
Portable Executable File Format / 2.8：
PE file Format / 3.0：
Import Address Table / 3.2：
Executable and Linking Format / 3.3：
ELF Header / 3.3.1：
The Program Header Table / 3.3.2：
Reversing Binaries for Identifying Vulnerabilities / 3.4：
Stack Overflow / 4.0：
CAN-2002-1123 Microsoft SQL Server 'Hello' Authentication Buffer Overflow" / 4.1.1：
CAN-2004-0399 Exim Buffer Overflow / 4.1.2：
Stack Checking / 4.1.3：
Off-by-One Overflow / 4.2：
OpenBSD 2.7 FTP Daemon Off-by-One / 4.2.1：
Non-Executable Memory / 4.2.3：
Heap Overflows / 4.3：
Heap Based Overflows / 4.3.1：
Integer Overflows / 4.4：
Types Integer Overflow / 4.4.1：
CAN-2004-0417 CVS Max dotdot Protocol Command Integer Overflow / 4.4.2：
Format String / 4.5：
Format String Vulnerability / 4.5.1：
Format String Denial of Service Attack / 4.5.2：
Format String Vulnerability Reading Attack / 4.5.3：
SEH Structure Exception Handler / 4.6：
Exploiting the SEH / 4.6.1：
Writing Exploits General Concepts / 4.7：
Stack Overflow Exploits / 4.7.1：
Injection Techniques / 4.7.2：
Optimizing the Injection Vector / 4.7.3：
The Location of the Payload / 4.8：
Direct Jump (Guessing Offsets) / 4.8.1：
Blind Return / 4.8.2：
Pop Return / 4.8.3：
No Operation Sled / 4.8.4：
Call Register / 4.8.5：
Push Return / 4.8.6：
Calculating Offset / 4.8.7：
Fundamental of Reverse Engineering / 4.9：
Anti-Reversing Method / 5.0：
Anti Disassembly / 5.2.1：
Linear Sweep Disassembler / 5.2.1.1：
Recursive Traversal Disassembler / 5.2.1.2：
Evasion of Disassemble / 5.2.1.3：
Self Modifying Code / 5.2.2：
Virtual Machine Obfuscation / 5.2.3：
Anti Debugging Techniques / 5.3：
BreakPoints / 5.3.1：
Software Breakpoint / 5.3.1.1：
Hardware Breakpoint / 5.3.1.2：
Detecting Hardware BreakPoint / 5.3.1.3：
Virtual Machine Detection / 5.4：
Checking Fingerprint Inside Memory, File System and Registry / 5.4.1：
Checking System Tables / 5.4.2：
Checking Processor Instruction Set / 5.4.3：
Unpacking / 5.5：
Manual Unpacking of Software / 5.5.1：
Finding an Original Entry Point of an Executable / 5.5.1.1：
Taking Memory Dump / 5.5.1.2：
Import Table Reconstruction / 5.5.1.3：
Import Redirection and Code emulation / 5.5.1.4：
Appendix / 5.6：
Index
Assembly Language
Introduction / 1.0：
Registers / 1.1：
27.
ＥＢ
Abhishek Singh., Abhishek Singh, Baibhav Singh
出版情報:
SpringerLink Books - AutoHoldings , Springer US, 2009
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Assembly Language
Introduction / 1.0：
Registers / 1.1：
General Purpose Register / 1.1.1：
FLAGS Register / 1.1.2：
80x86 Instruction Format / 1.2：
Instruction Prefix / 1.2.1：
Lock and Repeat Prefixes / 1.2.2：
Segment Override Prefixes / 1.2.3：
Opcode / 1.2.4：
Instructions / 1.3：
Basic Instructions / 1.3.1：
Floating Point Instruction / 1.3.2：
Stack Setup / 1.4：
Passing Parameters in C to the Procedure / 1.4.1：
Local Data Space on the Stack / 1.4.2：
Calling Conventions / 1.5：
cdecl calling convention / 1.5.1：
fastcall calling convention / 1.5.2：
stdcall calling convention / 1.5.3：
thiscall / 1.5.4：
Data Constructs / 1.6：
Global Variables / 1.6.1：
Local Variables / 1.6.2：
Imported Variables / 1.6.3：
Thread Local Storage (TLS) / 1.6.5：
Executable Data Section / 1.6.6：
Representation of Arithmetic Operations in Assembly / 1.7：
Multiplication / 1.7.1：
Division / 1.7.2：
Modulo / 1.7.3：
Representation of Data Structure in Assembly / 1.8：
Representation of Array in Assembly / 1.8.1：
Representation of Linked List in Assembly / 1.8.2：
Virtual Function Call in Assembly / 1.9：
Representation of classes in Assembly / 1.9.1：
Conclusion / 1.10：
Fundamental of Windows
Memory Management / 2.0：
Virtual Memory Management / 2.1.1：
Virtual Memory Management in Windows NT / 2.1.1.1：
Impact of Hooking / 2.1.1.2：
Segmented Memory Management / 2.1.2：
Paged Memory Management / 2.1.3：
Kernel Memory and User Memory / 2.2：
Kernel Memory Space / 2.2.1：
Section Object / 2.2.2：
Virtual Address Descriptor / 2.3：
User Mode Address Space / 2.3.1：
Memory Management in Windows / 2.3.2：
Objects and Handles / 2.3.3：
Named Objects / 2.3.4：
Processes and Threads / 2.4：
Context Switching / 2.4.1：
Context Switches and Mode Switches / 2.4.1.1：
Synchronization Objects / 2.4.2：
Critical Section / 2.4.2.1：
Mutex / 2.4.2.2：
Semaphore / 2.4.2.3：
Event / 2.4.2.4：
Metered Section / 2.4.2.5：
Process Initialization Sequence / 2.5：
Application Programming Interface / 2.5.1：
Reversing Windows NT / 2.6：
ExpEchoPoolCalls / 2.6.1：
ObpShowAllocAndFree / 2.6.2：
LpcpTraceMessages / 2.6.3：
MmDebug / 2.6.4：
NtGlobalFlag / 2.6.5：
SepDumpSD / 2.6.6：
CmLogLevel and CmLogSelect / 2.6.7：
Security Features in Vista / 2.7：
Address Space Layout Randomization (ASLR) / 2.7.1：
Stack Randomization / 2.7.2：
Heap Defenses / 2.7.3：
NX / 2.7.4：
/GS / 2.7.5：
Pointer Encoding / 2.7.6：
Cryptographic API in Windows Vista / 2.7.7：
Crypto-Agility / 2.7.8：
CryptoAgility in CNG / 2.7.9：
Algorithm Providers / 2.7.10：
Random Number Generator / 2.7.11：
Hash Functions / 2.7.12：
Symmetric Encryption / 2.7.13：
Asymmetric Encryption / 2.7.14：
Signatures and Verification / 2.7.15：
Portable Executable File Format / 2.8：
PE file Format / 3.0：
Import Address Table / 3.2：
Executable and Linking Format / 3.3：
ELF Header / 3.3.1：
The Program Header Table / 3.3.2：
Reversing Binaries for Identifying Vulnerabilities / 3.4：
Stack Overflow / 4.0：
CAN-2002-1123 Microsoft SQL Server 'Hello' Authentication Buffer Overflow" / 4.1.1：
CAN-2004-0399 Exim Buffer Overflow / 4.1.2：
Stack Checking / 4.1.3：
Off-by-One Overflow / 4.2：
OpenBSD 2.7 FTP Daemon Off-by-One / 4.2.1：
Non-Executable Memory / 4.2.3：
Heap Overflows / 4.3：
Heap Based Overflows / 4.3.1：
Integer Overflows / 4.4：
Types Integer Overflow / 4.4.1：
CAN-2004-0417 CVS Max dotdot Protocol Command Integer Overflow / 4.4.2：
Format String / 4.5：
Format String Vulnerability / 4.5.1：
Format String Denial of Service Attack / 4.5.2：
Format String Vulnerability Reading Attack / 4.5.3：
SEH Structure Exception Handler / 4.6：
Exploiting the SEH / 4.6.1：
Writing Exploits General Concepts / 4.7：
Stack Overflow Exploits / 4.7.1：
Injection Techniques / 4.7.2：
Optimizing the Injection Vector / 4.7.3：
The Location of the Payload / 4.8：
Direct Jump (Guessing Offsets) / 4.8.1：
Blind Return / 4.8.2：
Pop Return / 4.8.3：
No Operation Sled / 4.8.4：
Call Register / 4.8.5：
Push Return / 4.8.6：
Calculating Offset / 4.8.7：
Fundamental of Reverse Engineering / 4.9：
Anti-Reversing Method / 5.0：
Anti Disassembly / 5.2.1：
Linear Sweep Disassembler / 5.2.1.1：
Recursive Traversal Disassembler / 5.2.1.2：
Evasion of Disassemble / 5.2.1.3：
Self Modifying Code / 5.2.2：
Virtual Machine Obfuscation / 5.2.3：
Anti Debugging Techniques / 5.3：
BreakPoints / 5.3.1：
Software Breakpoint / 5.3.1.1：
Hardware Breakpoint / 5.3.1.2：
Detecting Hardware BreakPoint / 5.3.1.3：
Virtual Machine Detection / 5.4：
Checking Fingerprint Inside Memory, File System and Registry / 5.4.1：
Checking System Tables / 5.4.2：
Checking Processor Instruction Set / 5.4.3：
Unpacking / 5.5：
Manual Unpacking of Software / 5.5.1：
Finding an Original Entry Point of an Executable / 5.5.1.1：
Taking Memory Dump / 5.5.1.2：
Import Table Reconstruction / 5.5.1.3：
Import Redirection and Code emulation / 5.5.1.4：
Appendix / 5.6：
Index
Assembly Language
Introduction / 1.0：
Registers / 1.1：
28.
ＥＢ
Ivars Bilinskis
出版情報:
Wiley Online Library - AutoHoldings Books , Chichester : John Wiley & Sons, Inc., 2007
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Preface
Frequently Used Symbols and Abbreviations
Introduction: Signal Digitizing and Digital Processing / 1：
Subject Matter / 1.1：
Digitizing Dictates Processing Preconditions / 1.2：
Connecting Computers to the Real-life World / 1.2.1：
Widening of the Digital Domain / 1.2.2：
Digital Signal Representation / 1.2.3：
Complexity Reduction of Systems / 1.2.4：
Approach to the Development of Signal Processing Systems / 1.3：
Alias-free Sampling Option / 1.4：
Anti-aliasing Irregularity of Sampling / 1.4.1：
Sparse Nonuniform Sampling / 1.4.2：
Nonuniform Sampling Events / 1.4.3：
Remarks in Conclusion / 1.5：
Bibliography
Digitizing / Part 1：
Randomization as a Tool / 2：
Randomized Versus Statistical Signal Processing / 2.1：
Accumulation of Empirical Experience / 2.2：
Using Monte Carlo Methods for Signal Processing / 2.2.1：
Polarity Coincidence Methods / 2.2.2：
Stochastic-Ergodic Method / 2.2.3：
Stochastic Computing / 2.2.4：
Dithering / 2.2.5：
Generalized Scheme of Randomized Digitizing / 2.2.6：
Discovery of Alias-free Signal Processing / 2.3：
Early Academic Research in Randomized Temporal Sampling / 2.3.1：
Early Research in Randomized Spatial Signal Processing / 2.3.2：
Engineering Experience / 2.3.3：
Randomization Leading to DASP / 2.4：
DASP Mission / 2.4.1：
Demonstrator of DASP Advantages and Limitations / 2.4.2：
Some of the Typically Targeted Benefits / 2.5：
Periodic Versus Randomized Sampling / 3：
Periodic Sampling as a Particular Sampling Case / 3.1：
Generalized Sampling Model / 3.1.1：
Spectra of Sampled Signals / 3.2：
Spectra of Periodically Sampled Signals / 3.2.1：
Spectra of Randomly Sampled Signals / 3.2.2：
Aliasing Induced Errors at Seemingly Correct Sampling / 3.3：
Overlapping of Sampled Signal Components / 3.4：
Various Approaches to Randomization of Sampling / 3.5：
Randomized Quantization / 4：
Randomized Versus Deterministic Quantization / 4.1：
Basics / 4.1.1：
Input-Output Characteristics / 4.1.2：
Rationale of Randomizing / 4.1.3：
Deliberate Introduction of Randomness / 4.2：
Various Models / 4.2.1：
Quantization Errors / 4.3：
Probability Density Function of Errors / 4.3.1：
Variance of Randomly Quantized Signals / 4.3.2：
Quantization Noise / 4.4：
Covariance between the Signal and Quantization Noise / 4.4.1：
Spectrum / 4.4.2：
Pseudo-randomized Quantizing / 5：
Pseudo-randomization Approach / 5.1：
Optimal Quantizing / 5.2：
Single-threshold Quantizing / 5.2.1：
Multithreshold Quantizing / 5.2.2：
Implementation Approaches / 5.2.3：
Input-Output Relationships / 5.3：
Covariance between Signal and Quantization Noise / 5.4：
Spectrum of the Pseudo-randomized Quantization Noise / 5.5.2：
Preface
Frequently Used Symbols and Abbreviations
Introduction: Signal Digitizing and Digital Processing / 1：
29.
ＥＢ
Joakim Nivre
出版情報:
SpringerLink Books - AutoHoldings , Springer Netherlands, 2006
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Introduction / 1：
Inductive Dependency Parsing / 1.1：
The Need for Robust Disambiguation / 1.2：
Outline of the Book / 1.3：
Natural Language Parsing / 2：
Syntactic Representations / 2.1：
Two Notions of Parsing / 2.2：
Grammar Parsing / 2.2.1：
Text Parsing / 2.2.2：
Competence and Performance / 2.2.3：
Methods for Text Parsing / 2.3：
Grammar-Driven Text Parsing / 2.3.1：
Data-Driven Text Parsing / 2.3.2：
Converging Approaches / 2.3.3：
Evaluation Criteria / 2.3.4：
Robustness / 2.4.1：
Disambiguation / 2.4.2：
Accuracy / 2.4.3：
Efficiency / 2.4.4：
Dependency Parsing / 3：
Dependency Grammar / 3.1：
The Notion of Dependency / 3.1.1：
Varieties of Dependency Grammar / 3.1.2：
Parsing with Dependency Representations / 3.2：
Grammar-Driven Dependency Parsing / 3.2.1：
Data-Driven Dependency Parsing / 3.2.2：
The Case for Dependency Parsing / 3.2.3：
A Framework for Dependency Parsing / 3.3：
Texts, Sentences and Tokens / 3.3.1：
Dependency Graphs / 3.3.2：
Parsing Algorithm / 3.3.3：
Configurations / 3.4.1：
Transitions / 3.4.2：
Deterministic Parsing / 3.4.3：
Algorithm Analysis / 3.4.4：
Evaluation Criteria Revisited / 3.4.5：
A Framework for Inductive Dependency Parsing / 4：
Inductive Inference / 4.1.1：
History-Based Models / 4.1.3：
Parsing Methods / 4.1.4：
Learning Methods / 4.1.5：
Oracle Parsing / 4.1.6：
Features and Models / 4.2：
Feature Functions / 4.2.1：
Static Features / 4.2.2：
Dynamic Features / 4.2.3：
Feature Models / 4.2.4：
Memory-Based Learning / 4.3：
Memory-Based Learning and Classification / 4.3.1：
Learning Algorithm Parameters / 4.3.2：
Memory-Based Language Processing / 4.3.3：
MaltParser / 4.4：
Architecture / 4.4.1：
Implementation / 4.4.2：
Treebank Parsing / 5：
Treebanks and Parsing / 5.1：
Treebank Evaluation / 5.1.1：
Treebank Learning / 5.1.2：
Treebanks for Dependency Parsing / 5.1.3：
Experimental Methodology / 5.2：
Treebank Data / 5.2.1：
Models and Algorithms / 5.2.2：
Evaluation / 5.2.3：
Feature Model Parameters / 5.3：
Part-of-Speech Context / 5.3.1：
Dependency Structure / 5.3.2：
Lexicalization / 5.3.3：
Learning Curves / 5.3.4：
Neighbor Space and Distance Metric / 5.4：
Weighting Schemes / 5.4.2：
Final Evaluation / 5.5：
Accuracy and Efficiency / 5.5.1：
Related Work / 5.5.2：
Error Analysis / 5.5.3：
Conclusion / 6：
Main Contributions / 6.1：
Future Directions / 6.2：
References
Index
Introduction / 1：
Inductive Dependency Parsing / 1.1：
The Need for Robust Disambiguation / 1.2：
30.
ＥＢ
Henri Ulrich
出版情報:
Wiley Online Library - AutoHoldings Books , John Wiley & Sons, Inc., 2009
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Preface
Acknowledgements
General Introduction / 1：
References
1-Carbon Cumulenes / 2：
Sulfines, R2C SO / 2.1：
Sulfenes, R2C S(O)O / 2.2：
Other 1-Carbon Cumulenes / 2.3：
2-Carbon Cumulenes / 3：
Carbon Oxides, O C O, CO / 3.1：
Carbon Sulfides, S C S, S CO / 3.2：
Carbon Nitrides / 3.3：
Center Carbon Phosphorallenes, P C P / 3.4：
1,2-Dicarbon Cumulenes / 4：
Ketenes, R2C C O / 4.1：
Thioketenes, R2C C S / 4.2：
Ketenimines, R2C C NR / 4.3：
1-Silaallenes, R2C C Si / 4.4：
1-Phosphaallenes, R2C C P / 4.5：
Other Metal Allenes / 4.6：
1,3-Dicarbon Cumulenes / 5：
Thiocarbonyl S-ylides, R2C S CH2 / 5.1：
2-Azaallenium Salts, R(Ce)C N+ C(Ce)R / 5.2：
1-Oxa-3-azoniabutatriene Salts, R2C N+ C O / 5.3：
1-Thia-3-azabutatriene Salts, R2C N+ C S / 5.4：
Phosphorus Ylides / 5.5：
1,2,3-Tricarbon Cumulenes / 6：
Allenes, R2C CR2 / 6.1：
[3] Cumulenes, R2C C C CR2 / 6.2：
[4] Cumulenes, R2C C C C CR2 / 6.3：
[5] Cumulenes, R2C C C C C CR2 / 6.4：
Noncarbon Cumulenes / 7：
Azides, RN N N / 7.1：
Triazaallenium Salts, RN N+ NR / 7.2：
Sulfur Oxides / 7.3：
Sulfur Nitrides / 7.4：
Cationic Boron Cumulenes, R2N B NR / 7.5：
Index
Preface
Acknowledgements
General Introduction / 1：
31.
ＥＢ
Jin Zhang
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2008
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Information Retrieval and Visualization / Chapter 1：
Visualization / 1.1：
Definition / 1.1.1：
Scientific visualization and information visualization / 1.1.2：
Information retrieval / 1.2：
Browsing vs. query searching / 1.2.1：
Information at micro-level and macro-level / 1.2.2：
Spatial Characteristics of information space / 1.2.3：
Spatial characteristics of browsing / 1.2.4：
Perceptual and cognitive perspectives of visualization / 1.3：
Perceptual perspective / 1.3.1：
Cognitive perspective / 1.3.2：
Visualization for information retrieval / 1.4：
Rationale / 1.4.1：
Three information retrieval visualization paradigms / 1.4.2：
Procedures of establishing an information retrieval visualization model / 1.4.3：
Summary / 1.5：
Information Retrieval Preliminaries / Chapter 2：
Vector space model / 2.1：
Term weighting methods / 2.2：
Stop words / 2.2.1：
Inverse document frequency / 2.2.2：
The Salton term weighting method / 2.2.3：
Another term weighting method / 2.2.4：
Probability term weighting method / 2.2.5：
Similarity measures / 2.3：
Inner product similarity measure / 2.3.1：
Dice co-efficient similarity measure / 2.3.2：
The Jaccard co-efficient similarity measure / 2.3.3：
Overlap co-efficient similarity measure / 2.3.4：
Cosine similarity measure / 2.3.5：
Distance similarity measure / 2.3.6：
Angle-distance integrated similarity measure / 2.3.7：
The Pearson r correlation measure / 2.3.8：
Information retrieval (evaluation) models / 2.4：
Direction-based retrieval (evaluation) model / 2.4.1：
Distance-based retrieval (evaluation) model / 2.4.2：
Ellipse retrieval (evaluation) model / 2.4.3：
Conjunction retrieval (evaluation) model / 2.4.4：
Disjunction evaluation model / 2.4.5：
The Cassini oval retrieval (evaluation) model / 2.4.6：
Clustering algorithms / 2.5：
Non-hierarchical clustering algorithm / 2.5.1：
Hierarchical clustering algorithm / 2.5.2：
Evaluation of retrieval results / 2.6：
Visualization Models for Multiple Reference Points / 2.7：
Multiple references points / 3.1：
Model for fixed multiple reference points / 3.2：
Models for movable multiple reference points / 3.3：
Description of the original VIBE algorithm / 3.3.1：
Discussions about the model / 3.3.2：
Model for automatic reference point rotation / 3.4：
Definition of the visual space / 3.4.1：
Rotation of a reference point / 3.4.2：
Implication of information retrieval / 3.5：
Euclidean Spatial Characteristic Based Visualization Models / 3.6：
Euclidean space and its characteristics / 4.1：
Introduction to the information retrieval evaluation models / 4.2：
The distance-angel-based visualization model / 4.3：
The visual space definition / 4.3.1：
Visualization for information retrieval evaluation models / 4.3.2：
The angle-angle-based visualization model / 4.4：
The distance-distance-based visualization model / 4.4.1：
Kohonen Self-Organizing Map-An Artificial Neural Network / 4.5.1：
Introduction to neural networks / 5.1：
Definition of neural network / 5.1.1：
Characteristics and structures of neuron network / 5.1.2：
Kohonen self-organizing maps / 5.2：
Kohonen self-organizing map structures / 5.2.1：
Learning processing of the SOM algorithm / 5.2.2：
Feature map labeling / 5.2.3：
The SOM algorithm description / 5.2.4：
Implication of the SOM in information retrieval / 5.3：
Pathfinder Associative Network / 5.4：
Pathfinder associative network properties and descriptions / 6.1：
Definitions of concepts and explanations / 6.1.1：
The algorithm description / 6.1.2：
Graph layout method / 6.1.3：
Implications on information retrieval / 6.2：
Author co-citation analysis / 6.2.1：
Term associative network / 6.2.2：
Hyperlink / 6.2.3：
Search in Pathfinder associative networks / 6.2.4：
Multidimensional Scaling / 6.3：
MDS analysis method descriptions / 7.1：
Classical MDS / 7.1.1：
Non-metric MDS / 7.1.2：
Metric MDS / 7.1.3：
Implications of MDS techniques for information retrieval / 7.2：
Definitions of displayed objects and proximity between objects / 7.2.1：
Exploration in a MDS display space / 7.2.2：
Discussion / 7.2.3：
Internet Information Visualization / 7.3：
Introduction / 8.1：
Internet characteristics / 8.1.1：
Internet information organization and presentation methods / 8.1.2：
Internet information utilization / 8.1.3：
Challenges of the internet / 8.1.4：
Internet information visualization / 8.2：
Visualization of internet information structure / 8.2.1：
Internet information seeking visualization / 8.2.2：
Visualization of web traffic information / 8.2.3：
Discussion history visualization / 8.2.4：
Ambiguity in Information Visualization / 8.3：
Ambiguity and its implication in information visualization / 9.1：
Reason of ambiguity in information visualization / 9.1.1：
Implication of ambiguity for information visualization / 9.1.2：
Ambiguity analysis in information retrieval visualization models / 9.2：
Ambiguity in the Euclidean spatial characteristic based information models / 9.2.1：
Ambiguity in the multiple reference point based information visualization models / 9.2.2：
Ambiguity in the Pathfinder network / 9.2.3：
Ambiguity in SOM / 9.2.4：
Ambiguity in MDS / 9.2.5：
The Implication of Metaphors in Information Visualization / 9.3：
Definition, basic elements, and characteristics of a metaphor / 10.1：
Cognitive foundation of metaphors / 10.2：
Mental models, metaphors, and human computer interaction / 10.3：
Metaphors in human computer interaction / 10.3.1：
Mental models / 10.3.2：
Mental models in HCI / 10.3.3：
Metaphors in information visualization retrieval / 10.4：
Rationales for using metaphors / 10.4.1：
Metaphorical information retrieval visualization environments / 10.4.2：
Procedures and principles for metaphor application / 10.5：
Procedure for metaphor application / 10.5.1：
Guides for designing a good metaphorical visual information retrieval environment / 10.5.2：
Benchmarks and Evaluation Criteria for Information Retrieval Visualization / 10.6：
Information retrieval visualization evaluation / 11.1：
Benchmarks and evaluation standards / 11.2：
Factors affecting evaluation standards / 11.2.1：
Principles for developing evaluation benchmarks / 11.2.2：
Four proposed categories for evaluation criteria / 11.2.3：
Descriptions of proposed benchmarks / 11.2.4：
Afterthoughts / 11.3：
Comparisons of the introduced visualization models / 12.1：
Issues and challenges / 12.3：
Bibliography / 12.4：
Index
Information Retrieval and Visualization / Chapter 1：
Visualization / 1.1：
Definition / 1.1.1：
32.
ＥＢ
Jin Zhang
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2008
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Information Retrieval and Visualization / Chapter 1：
Visualization / 1.1：
Definition / 1.1.1：
Scientific visualization and information visualization / 1.1.2：
Information retrieval / 1.2：
Browsing vs. query searching / 1.2.1：
Information at micro-level and macro-level / 1.2.2：
Spatial Characteristics of information space / 1.2.3：
Spatial characteristics of browsing / 1.2.4：
Perceptual and cognitive perspectives of visualization / 1.3：
Perceptual perspective / 1.3.1：
Cognitive perspective / 1.3.2：
Visualization for information retrieval / 1.4：
Rationale / 1.4.1：
Three information retrieval visualization paradigms / 1.4.2：
Procedures of establishing an information retrieval visualization model / 1.4.3：
Summary / 1.5：
Information Retrieval Preliminaries / Chapter 2：
Vector space model / 2.1：
Term weighting methods / 2.2：
Stop words / 2.2.1：
Inverse document frequency / 2.2.2：
The Salton term weighting method / 2.2.3：
Another term weighting method / 2.2.4：
Probability term weighting method / 2.2.5：
Similarity measures / 2.3：
Inner product similarity measure / 2.3.1：
Dice co-efficient similarity measure / 2.3.2：
The Jaccard co-efficient similarity measure / 2.3.3：
Overlap co-efficient similarity measure / 2.3.4：
Cosine similarity measure / 2.3.5：
Distance similarity measure / 2.3.6：
Angle-distance integrated similarity measure / 2.3.7：
The Pearson r correlation measure / 2.3.8：
Information retrieval (evaluation) models / 2.4：
Direction-based retrieval (evaluation) model / 2.4.1：
Distance-based retrieval (evaluation) model / 2.4.2：
Ellipse retrieval (evaluation) model / 2.4.3：
Conjunction retrieval (evaluation) model / 2.4.4：
Disjunction evaluation model / 2.4.5：
The Cassini oval retrieval (evaluation) model / 2.4.6：
Clustering algorithms / 2.5：
Non-hierarchical clustering algorithm / 2.5.1：
Hierarchical clustering algorithm / 2.5.2：
Evaluation of retrieval results / 2.6：
Visualization Models for Multiple Reference Points / 2.7：
Multiple references points / 3.1：
Model for fixed multiple reference points / 3.2：
Models for movable multiple reference points / 3.3：
Description of the original VIBE algorithm / 3.3.1：
Discussions about the model / 3.3.2：
Model for automatic reference point rotation / 3.4：
Definition of the visual space / 3.4.1：
Rotation of a reference point / 3.4.2：
Implication of information retrieval / 3.5：
Euclidean Spatial Characteristic Based Visualization Models / 3.6：
Euclidean space and its characteristics / 4.1：
Introduction to the information retrieval evaluation models / 4.2：
The distance-angel-based visualization model / 4.3：
The visual space definition / 4.3.1：
Visualization for information retrieval evaluation models / 4.3.2：
The angle-angle-based visualization model / 4.4：
The distance-distance-based visualization model / 4.4.1：
Kohonen Self-Organizing Map-An Artificial Neural Network / 4.5.1：
Introduction to neural networks / 5.1：
Definition of neural network / 5.1.1：
Characteristics and structures of neuron network / 5.1.2：
Kohonen self-organizing maps / 5.2：
Kohonen self-organizing map structures / 5.2.1：
Learning processing of the SOM algorithm / 5.2.2：
Feature map labeling / 5.2.3：
The SOM algorithm description / 5.2.4：
Implication of the SOM in information retrieval / 5.3：
Pathfinder Associative Network / 5.4：
Pathfinder associative network properties and descriptions / 6.1：
Definitions of concepts and explanations / 6.1.1：
The algorithm description / 6.1.2：
Graph layout method / 6.1.3：
Implications on information retrieval / 6.2：
Author co-citation analysis / 6.2.1：
Term associative network / 6.2.2：
Hyperlink / 6.2.3：
Search in Pathfinder associative networks / 6.2.4：
Multidimensional Scaling / 6.3：
MDS analysis method descriptions / 7.1：
Classical MDS / 7.1.1：
Non-metric MDS / 7.1.2：
Metric MDS / 7.1.3：
Implications of MDS techniques for information retrieval / 7.2：
Definitions of displayed objects and proximity between objects / 7.2.1：
Exploration in a MDS display space / 7.2.2：
Discussion / 7.2.3：
Internet Information Visualization / 7.3：
Introduction / 8.1：
Internet characteristics / 8.1.1：
Internet information organization and presentation methods / 8.1.2：
Internet information utilization / 8.1.3：
Challenges of the internet / 8.1.4：
Internet information visualization / 8.2：
Visualization of internet information structure / 8.2.1：
Internet information seeking visualization / 8.2.2：
Visualization of web traffic information / 8.2.3：
Discussion history visualization / 8.2.4：
Ambiguity in Information Visualization / 8.3：
Ambiguity and its implication in information visualization / 9.1：
Reason of ambiguity in information visualization / 9.1.1：
Implication of ambiguity for information visualization / 9.1.2：
Ambiguity analysis in information retrieval visualization models / 9.2：
Ambiguity in the Euclidean spatial characteristic based information models / 9.2.1：
Ambiguity in the multiple reference point based information visualization models / 9.2.2：
Ambiguity in the Pathfinder network / 9.2.3：
Ambiguity in SOM / 9.2.4：
Ambiguity in MDS / 9.2.5：
The Implication of Metaphors in Information Visualization / 9.3：
Definition, basic elements, and characteristics of a metaphor / 10.1：
Cognitive foundation of metaphors / 10.2：
Mental models, metaphors, and human computer interaction / 10.3：
Metaphors in human computer interaction / 10.3.1：
Mental models / 10.3.2：
Mental models in HCI / 10.3.3：
Metaphors in information visualization retrieval / 10.4：
Rationales for using metaphors / 10.4.1：
Metaphorical information retrieval visualization environments / 10.4.2：
Procedures and principles for metaphor application / 10.5：
Procedure for metaphor application / 10.5.1：
Guides for designing a good metaphorical visual information retrieval environment / 10.5.2：
Benchmarks and Evaluation Criteria for Information Retrieval Visualization / 10.6：
Information retrieval visualization evaluation / 11.1：
Benchmarks and evaluation standards / 11.2：
Factors affecting evaluation standards / 11.2.1：
Principles for developing evaluation benchmarks / 11.2.2：
Four proposed categories for evaluation criteria / 11.2.3：
Descriptions of proposed benchmarks / 11.2.4：
Afterthoughts / 11.3：
Comparisons of the introduced visualization models / 12.1：
Issues and challenges / 12.3：
Bibliography / 12.4：
Index
Information Retrieval and Visualization / Chapter 1：
Visualization / 1.1：
Definition / 1.1.1：
33.
ＥＢ
Ben Liblit, David Hutchison, Takeo Kanade, Association for Computing Machinery.
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2007
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Introduction / 1：
Perfect, or Close Enough / 1.1：
Automatic Failure Reporting / 1.2：
The Next Step Forward / 1.3：
Cooperative Bug Isolation / 1.4：
Instrumentation Framework / 2：
Basic Instrumentation Strategy / 2.1：
Sampling the Bernoulli Way / 2.1.1：
From Blocks to Functions / 2.1.2：
Interprocedural Issues / 2.1.3：
Instrumentation Schemes for Distributed Debugging / 2.2：
Issues in Remote Sampling / 2.2.1：
Counter-Based Instrumentation Schemes / 2.2.2：
Additional Instrumentation Schemes / 2.2.3：
Performance and Optimizations / 2.3：
Static Branch Prediction / 2.3.1：
Weightless Functions / 2.3.2：
Empty and Singleton Regions / 2.3.3：
Local Countdown Caching / 2.3.4：
Random Countdown Generation / 2.3.5：
Path Balancing / 2.3.6：
Statically Selective Sampling / 2.3.7：
Optimization Recap / 2.3.8：
Adaptive Sampling / 2.4：
Nonuniformity Via Multiple Countdowns / 2.4.1：
Nonuniformity Via Non-Unit Site Weights / 2.4.2：
Policy Notes / 2.4.3：
Realistic Sampling Rates / 2.5：
Practical Considerations / 3：
Native Compiler Integration / 3.1：
Static Site Information / 3.1.1：
Libraries and Plugins / 3.2：
Threads / 3.3：
Next-Sample Countdown / 3.3.1：
Predicate Counters / 3.3.2：
Compilation Unit Registry and Report File / 3.3.3：
Time Stamp Clock / 3.3.4：
Performance Evaluation / 3.3.5：
Privacy and Security / 3.4：
User Interaction / 3.5：
Status of the Public Deployment / 3.6：
Resource Requirements / 3.6.1：
Reporting Trends / 3.6.2：
Techniques for Statistical Debugging / 4：
Notation and Terminology / 4.1：
Predicate Elimination / 4.2：
Instrumentation Strategy / 4.2.1：
Elimination Strategies / 4.2.2：
Data Collection and Analysis / 4.2.3：
Refinement over time / 4.2.4：
Performance Impact / 4.2.5：
Limitations and Insights / 4.2.6：
Regularized Logistic Regression / 4.3：
Crash Prediction Using Logistic Regression / 4.3.1：
Moss: A Multiple-Bug Challenge / 4.3.2：
Nonuniform Sampling / 4.4.1：
Analysis Results / 4.4.2：
Iterative Bug Isolation and Elimination / 4.5：
Increase Scores / 4.5.1：
Statistical Interpretation / 4.5.2：
Balancing Specificity and Sensitivity / 4.5.3：
Redundancy Elimination / 4.5.4：
Case Studies / 4.6：
Moss / 4.6.1：
CCRYPT / 4.6.2：
BC / 4.6.3：
EXIF / 4.6.4：
Rhythmbox / 4.6.5：
Related Work / 5：
Static Analysis / 5.1：
Profiling and Tracing / 5.2：
Dynamic Analysis / 5.3：
Conclusion / 6：
References
Introduction / 1：
Perfect, or Close Enough / 1.1：
Automatic Failure Reporting / 1.2：
34.
ＥＢ
Masao Nagasaki, Atsushi Doi, Andreas Dress, Hiroshi Matsuno, Satoru Miyano, Ayumu Saito, Martin Vingron, Martin Vingron, Gene Myers, Robert Giegerich, Walter Fitch, Pavel A. Pevzner. edited by Andreas Dress
出版情報:
Springer eBooks Computer Science , Springer London, 2009
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Foreword
Preface
Introduction / 1：
Intracellular Events / 1.1：
Transcription, Translation, and Regulation / 1.1.1：
Signaling Pathways and Proteins / 1.1.2：
Metabolism and Genes / 1.1.3：
Intracellular Reactions and Pathways / 1.2：
Pathway Databases / 2：
Major Pathway Databases / 2.1：
KEGG / 2.1.1：
BioCyc / 2.1.2：
Ingenuity Pathways Knowledge Base / 2.1.3：
TRANSPATH / 2.1.4：
ResNet / 2.1.5：
Signal Transduction Knowledge Environment (STKE): Database of Cell Signaling / 2.1.6：
Reactome / 2.1.7：
Metabolome.jp / 2.1.8：
Summary and Conclusion / 2.1.9：
Software for Pathway Display / 2.2：
Ingenuity Pathway Analysis (IPA) / 2.2.1：
Pathway Builder / 2.2.2：
Pathway Studio / 2.2.3：
Connections Maps / 2.2.4：
Cytoscape / 2.2.5：
File Formats for Pathways / 2.3：
Gene Ontology / 2.3.1：
PSI MI / 2.3.2：
CellML / 2.3.3：
SBML / 2.3.4：
BioPAX / 2.3.5：
CSML/CSO / 2.3.6：
Pathway Simulation Software / 3：
Simulation Software Backend / 3.1：
Architecture: Deterministic, Probabilistic, or Hybrid? / 3.1.1：
Methods of Pathway Modeling / 3.1.2：
Major Simulation Software Tools / 3.2：
Gepasi/COPASI / 3.2.1：
Virtual Cell / 3.2.2：
Systems Biology Workbench (SBW), Cell Designer, JDesigner / 3.2.3：
Dizzy / 3.2.4：
E-Cell / 3.2.5：
Cell Illustrator / 3.2.6：
Summary / 3.2.7：
Starting Cell Illustrator / 4：
Installing Cell Illustrator / 4.1：
Operating Systems and Hardware Requirements / 4.1.1：
Cell Illustrator Lineup / 4.1.2：
Installing and Running Cell Illustrator / 4.1.3：
License Install / 4.1.4：
Basic Concepts in Cell Illustrator / 4.2：
Basic Concepts / 4.2.1：
Entity / 4.2.2：
Process / 4.2.3：
Connector / 4.2.4：
Rules for Connecting Elements / 4.2.5：
Icons for Elements / 4.2.6：
Editing a Model on Cell Illustrator / 4.3：
Adding Elements / 4.3.1：
Model Editing and Canvas Controls / 4.3.2：
Simulating Models / 4.4：
Simulation Settings / 4.4.1：
Graph Settings / 4.4.2：
Executing Simulation / 4.4.3：
Simulation Parameters and Rules / 4.5：
Creating a Model with Discrete Entity and Process / 4.5.1：
Creating a Model with Continuous Entity and Process / 4.5.2：
Concepts of Discrete and Continuous / 4.5.3：
Pathway Modeling Using Illustrated Elements / 4.6：
Creating Pathway Models Using Cell Illustrator / 4.7：
Degradation / 4.7.1：
Translocation / 4.7.2：
Transcription / 4.7.3：
Binding / 4.7.4：
Dissociation / 4.7.5：
Inhibition / 4.7.6：
Phosphorylation by Enzyme Reaction / 4.7.7：
Conclusion / 4.8：
Pathway Modeling and Simulation / 5：
Modeling Signaling Pathway / 5.1：
Main Players: Ligand and Receptor / 5.1.1：
Modeling EGFR Signaling with EGF Stimulation / 5.1.2：
Modeling Metabolic Pathways / 5.2：
Chemical Equations and Pathway Representations / 5.2.1：
Michaelis-Menten Kinetics and Cell Illustrator Pathway Representation / 5.2.2：
Creating Glycolysis Pathway Model / 5.2.3：
Simulation of Glycolysis Pathway / 5.2.4：
Improving the Model / 5.2.5：
Modeling Gene Regulatory Networks / 5.3：
Biological Clocks and Circadian Rhythms / 5.3.1：
Gene Regulatory Network for Circadian Rhythms in Mice / 5.3.2：
Modeling Circadian Rhythms in Mice / 5.3.3：
Creating Hypothesis by Simulation / 5.3.4：
Computational Platform for Systems Biology / 5.4：
Gene Network of Yeast / 6.1：
Computational Analysis of Gene Network / 6.2：
Displaying Gene Network / 6.2.1：
Layout of Gene Networks / 6.2.2：
Pathway Search Function / 6.2.3：
Extracting Subnetworks / 6.2.4：
Comparing Two Subnetworks / 6.2.5：
Further Functionalities for Systems Biology / 6.3：
Languages for Pathways: CSML 3.0 and CSO / 6.3.1：
SaaS Technology / 6.3.2：
Pathway Parameter Search / 6.3.3：
Much Faster Simulation / 6.3.4：
Exporting Pathway Models to Programming Languages / 6.3.5：
Pathway Layout Algorithms / 6.3.6：
Pathway Database Management System / 6.3.7：
More Visually: Automatic Generation of Icons / 6.3.8：
Bibliographic Notes
Index
Foreword
Preface
Introduction / 1：
35.
ＥＢ
Ben Liblit, David Hutchison, Takeo Kanade, Association for Computing Machinery.
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2007
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Introduction / 1：
Perfect, or Close Enough / 1.1：
Automatic Failure Reporting / 1.2：
The Next Step Forward / 1.3：
Cooperative Bug Isolation / 1.4：
Instrumentation Framework / 2：
Basic Instrumentation Strategy / 2.1：
Sampling the Bernoulli Way / 2.1.1：
From Blocks to Functions / 2.1.2：
Interprocedural Issues / 2.1.3：
Instrumentation Schemes for Distributed Debugging / 2.2：
Issues in Remote Sampling / 2.2.1：
Counter-Based Instrumentation Schemes / 2.2.2：
Additional Instrumentation Schemes / 2.2.3：
Performance and Optimizations / 2.3：
Static Branch Prediction / 2.3.1：
Weightless Functions / 2.3.2：
Empty and Singleton Regions / 2.3.3：
Local Countdown Caching / 2.3.4：
Random Countdown Generation / 2.3.5：
Path Balancing / 2.3.6：
Statically Selective Sampling / 2.3.7：
Optimization Recap / 2.3.8：
Adaptive Sampling / 2.4：
Nonuniformity Via Multiple Countdowns / 2.4.1：
Nonuniformity Via Non-Unit Site Weights / 2.4.2：
Policy Notes / 2.4.3：
Realistic Sampling Rates / 2.5：
Practical Considerations / 3：
Native Compiler Integration / 3.1：
Static Site Information / 3.1.1：
Libraries and Plugins / 3.2：
Threads / 3.3：
Next-Sample Countdown / 3.3.1：
Predicate Counters / 3.3.2：
Compilation Unit Registry and Report File / 3.3.3：
Time Stamp Clock / 3.3.4：
Performance Evaluation / 3.3.5：
Privacy and Security / 3.4：
User Interaction / 3.5：
Status of the Public Deployment / 3.6：
Resource Requirements / 3.6.1：
Reporting Trends / 3.6.2：
Techniques for Statistical Debugging / 4：
Notation and Terminology / 4.1：
Predicate Elimination / 4.2：
Instrumentation Strategy / 4.2.1：
Elimination Strategies / 4.2.2：
Data Collection and Analysis / 4.2.3：
Refinement over time / 4.2.4：
Performance Impact / 4.2.5：
Limitations and Insights / 4.2.6：
Regularized Logistic Regression / 4.3：
Crash Prediction Using Logistic Regression / 4.3.1：
Moss: A Multiple-Bug Challenge / 4.3.2：
Nonuniform Sampling / 4.4.1：
Analysis Results / 4.4.2：
Iterative Bug Isolation and Elimination / 4.5：
Increase Scores / 4.5.1：
Statistical Interpretation / 4.5.2：
Balancing Specificity and Sensitivity / 4.5.3：
Redundancy Elimination / 4.5.4：
Case Studies / 4.6：
Moss / 4.6.1：
CCRYPT / 4.6.2：
BC / 4.6.3：
EXIF / 4.6.4：
Rhythmbox / 4.6.5：
Related Work / 5：
Static Analysis / 5.1：
Profiling and Tracing / 5.2：
Dynamic Analysis / 5.3：
Conclusion / 6：
References
Introduction / 1：
Perfect, or Close Enough / 1.1：
Automatic Failure Reporting / 1.2：
36.
ＥＢ
Masao Nagasaki, Atsushi Doi, Andreas Dress, Hiroshi Matsuno, Satoru Miyano, Ayumu Saito, Martin Vingron, Martin Vingron, Gene Myers, Robert Giegerich, Walter Fitch, Pavel A. Pevzner. edited by Andreas Dress, Gene Myers
出版情報:
SpringerLink Books - AutoHoldings , Springer London, 2009
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Foreword
Preface
Introduction / 1：
Intracellular Events / 1.1：
Transcription, Translation, and Regulation / 1.1.1：
Signaling Pathways and Proteins / 1.1.2：
Metabolism and Genes / 1.1.3：
Intracellular Reactions and Pathways / 1.2：
Pathway Databases / 2：
Major Pathway Databases / 2.1：
KEGG / 2.1.1：
BioCyc / 2.1.2：
Ingenuity Pathways Knowledge Base / 2.1.3：
TRANSPATH / 2.1.4：
ResNet / 2.1.5：
Signal Transduction Knowledge Environment (STKE): Database of Cell Signaling / 2.1.6：
Reactome / 2.1.7：
Metabolome.jp / 2.1.8：
Summary and Conclusion / 2.1.9：
Software for Pathway Display / 2.2：
Ingenuity Pathway Analysis (IPA) / 2.2.1：
Pathway Builder / 2.2.2：
Pathway Studio / 2.2.3：
Connections Maps / 2.2.4：
Cytoscape / 2.2.5：
File Formats for Pathways / 2.3：
Gene Ontology / 2.3.1：
PSI MI / 2.3.2：
CellML / 2.3.3：
SBML / 2.3.4：
BioPAX / 2.3.5：
CSML/CSO / 2.3.6：
Pathway Simulation Software / 3：
Simulation Software Backend / 3.1：
Architecture: Deterministic, Probabilistic, or Hybrid? / 3.1.1：
Methods of Pathway Modeling / 3.1.2：
Major Simulation Software Tools / 3.2：
Gepasi/COPASI / 3.2.1：
Virtual Cell / 3.2.2：
Systems Biology Workbench (SBW), Cell Designer, JDesigner / 3.2.3：
Dizzy / 3.2.4：
E-Cell / 3.2.5：
Cell Illustrator / 3.2.6：
Summary / 3.2.7：
Starting Cell Illustrator / 4：
Installing Cell Illustrator / 4.1：
Operating Systems and Hardware Requirements / 4.1.1：
Cell Illustrator Lineup / 4.1.2：
Installing and Running Cell Illustrator / 4.1.3：
License Install / 4.1.4：
Basic Concepts in Cell Illustrator / 4.2：
Basic Concepts / 4.2.1：
Entity / 4.2.2：
Process / 4.2.3：
Connector / 4.2.4：
Rules for Connecting Elements / 4.2.5：
Icons for Elements / 4.2.6：
Editing a Model on Cell Illustrator / 4.3：
Adding Elements / 4.3.1：
Model Editing and Canvas Controls / 4.3.2：
Simulating Models / 4.4：
Simulation Settings / 4.4.1：
Graph Settings / 4.4.2：
Executing Simulation / 4.4.3：
Simulation Parameters and Rules / 4.5：
Creating a Model with Discrete Entity and Process / 4.5.1：
Creating a Model with Continuous Entity and Process / 4.5.2：
Concepts of Discrete and Continuous / 4.5.3：
Pathway Modeling Using Illustrated Elements / 4.6：
Creating Pathway Models Using Cell Illustrator / 4.7：
Degradation / 4.7.1：
Translocation / 4.7.2：
Transcription / 4.7.3：
Binding / 4.7.4：
Dissociation / 4.7.5：
Inhibition / 4.7.6：
Phosphorylation by Enzyme Reaction / 4.7.7：
Conclusion / 4.8：
Pathway Modeling and Simulation / 5：
Modeling Signaling Pathway / 5.1：
Main Players: Ligand and Receptor / 5.1.1：
Modeling EGFR Signaling with EGF Stimulation / 5.1.2：
Modeling Metabolic Pathways / 5.2：
Chemical Equations and Pathway Representations / 5.2.1：
Michaelis-Menten Kinetics and Cell Illustrator Pathway Representation / 5.2.2：
Creating Glycolysis Pathway Model / 5.2.3：
Simulation of Glycolysis Pathway / 5.2.4：
Improving the Model / 5.2.5：
Modeling Gene Regulatory Networks / 5.3：
Biological Clocks and Circadian Rhythms / 5.3.1：
Gene Regulatory Network for Circadian Rhythms in Mice / 5.3.2：
Modeling Circadian Rhythms in Mice / 5.3.3：
Creating Hypothesis by Simulation / 5.3.4：
Computational Platform for Systems Biology / 5.4：
Gene Network of Yeast / 6.1：
Computational Analysis of Gene Network / 6.2：
Displaying Gene Network / 6.2.1：
Layout of Gene Networks / 6.2.2：
Pathway Search Function / 6.2.3：
Extracting Subnetworks / 6.2.4：
Comparing Two Subnetworks / 6.2.5：
Further Functionalities for Systems Biology / 6.3：
Languages for Pathways: CSML 3.0 and CSO / 6.3.1：
SaaS Technology / 6.3.2：
Pathway Parameter Search / 6.3.3：
Much Faster Simulation / 6.3.4：
Exporting Pathway Models to Programming Languages / 6.3.5：
Pathway Layout Algorithms / 6.3.6：
Pathway Database Management System / 6.3.7：
More Visually: Automatic Generation of Icons / 6.3.8：
Bibliographic Notes
Index
Foreword
Preface
Introduction / 1：
37.
ＥＢ
Gian Piero Zarri
出版情報:
Springer eBooks Computer Science , Springer London, 2009
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Basic Principles / 1：
Narrative Information in an NKRL Context / 1.1：
Narratology and NKRL / 1.1.1：
The Notion of "Event" in an NKRL Context / 1.1.2：
Knowledge Representation and NKRL / 1.2：
"Standard" Ontologies and the "n-ary" Problem / 1.2.1：
A Plain "n-ary" Solution and Some Related Problems / 1.2.2：
In the Guise of Winding Up / 1.3：
The Knowledge Representation Strategy / 2：
Architecture of NKRL: the Four "Components" / 2.1：
The Data Structures of the Four Components / 2.2：
Definitional/Enumerative Data Structures / 2.2.1：
Descriptive/Factual Data Structures / 2.2.2：
Second-order Structures / 2.3：
The Completive Construction / 2.3.1：
Binding Occurrences / 2.3.2：
The Semantic and Ontological Contents / 2.4：
The Organization of the HClass Hierarchy / 3.1：
General Notions about Ontologies / 3.1.1：
HClass Architecture / 3.1.2：
The Organization of the HTemp Hierarchy / 3.2：
Recent Examples of "Structured" Ontological Systems / 3.2.1：
Main Features of Some Specific HTemp Structures / 3.2.2：
The Query and Inference Procedures / 3.3：
"Search Patterns" and Low-level Inferences / 4.1：
The Algorithmic Structure of Fum / 4.1.1：
Temporal Information and Indexing / 4.1.2：
High-level Inference Procedures / 4.2：
General Remarks about Some Reasoning Paradigms / 4.2.1：
Hypothesis Rules / 4.2.2：
Transformation Rules / 4.2.3：
Integrating the Two Main Inferencing Modes of NKRL / 4.2.4：
Inference Rules and Internet Filtering / 4.2.5：
Conclusion / 4.3：
Technological Enhancements / 5.1：
Theoretical Enhancements / 5.2：
Appendix A
Appendix B
References
Index
Basic Principles / 1：
Narrative Information in an NKRL Context / 1.1：
Narratology and NKRL / 1.1.1：
38.
ＥＢ
Gian Piero Zarri
出版情報:
SpringerLink Books - AutoHoldings , Springer London, 2009
子書誌情報:
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Basic Principles / 1：
Narrative Information in an NKRL Context / 1.1：
Narratology and NKRL / 1.1.1：
The Notion of "Event" in an NKRL Context / 1.1.2：
Knowledge Representation and NKRL / 1.2：
"Standard" Ontologies and the "n-ary" Problem / 1.2.1：
A Plain "n-ary" Solution and Some Related Problems / 1.2.2：
In the Guise of Winding Up / 1.3：
The Knowledge Representation Strategy / 2：
Architecture of NKRL: the Four "Components" / 2.1：
The Data Structures of the Four Components / 2.2：
Definitional/Enumerative Data Structures / 2.2.1：
Descriptive/Factual Data Structures / 2.2.2：
Second-order Structures / 2.3：
The Completive Construction / 2.3.1：
Binding Occurrences / 2.3.2：
The Semantic and Ontological Contents / 2.4：
The Organization of the HClass Hierarchy / 3.1：
General Notions about Ontologies / 3.1.1：
HClass Architecture / 3.1.2：
The Organization of the HTemp Hierarchy / 3.2：
Recent Examples of "Structured" Ontological Systems / 3.2.1：
Main Features of Some Specific HTemp Structures / 3.2.2：
The Query and Inference Procedures / 3.3：
"Search Patterns" and Low-level Inferences / 4.1：
The Algorithmic Structure of Fum / 4.1.1：
Temporal Information and Indexing / 4.1.2：
High-level Inference Procedures / 4.2：
General Remarks about Some Reasoning Paradigms / 4.2.1：
Hypothesis Rules / 4.2.2：
Transformation Rules / 4.2.3：
Integrating the Two Main Inferencing Modes of NKRL / 4.2.4：
Inference Rules and Internet Filtering / 4.2.5：
Conclusion / 4.3：
Technological Enhancements / 5.1：
Theoretical Enhancements / 5.2：
Appendix A
Appendix B
References
Index
Basic Principles / 1：
Narrative Information in an NKRL Context / 1.1：
Narratology and NKRL / 1.1.1：
39.
ＥＢ
Kathryn E. Merrick, Mary Lou Maher
出版情報:
Springer eBooks Computer Science , Springer Berlin Heidelberg, 2009
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Non-Player Characters and Reinforcement Learning / Part I：
Non-Player Characters in Multiuser Games / 1：
Types of Multiuser Games / 1.1：
Massively Multiplayer Online Role-Playing Games / 1.1.1：
Multiuser Simulation Games / 1.1.2：
Open-Ended Virtual Worlds / 1.1.3：
Character Roles in Multiuser Games / 1.2：
Existing Artificial Intelligence Techniques for Non-Player Characters in Multiuser Games / 1.3：
Reflexive Agents / 1.3.1：
Learning Agents / 1.3.2：
Evolutionary Agents / 1.3.3：
Smart Terrain / 1.3.4：
Summary / 1.4：
References / 1.5：
Motivation in Natural and Artificial Agents / 2：
Defining Motivation / 2.1：
Biological Theories of Motivation / 2.2：
Drive Theory / 2.2.1：
Motivational State Theory / 2.2.2：
Arousal / 2.2.3：
Cognitive Theories of Motivation / 2.3：
Curiosity / 2.3.1：
Operant Theory / 2.3.2：
Incentive / 2.3.3：
Achievement Motivation / 2.3.4：
Attribution Theory / 2.3.5：
Intrinsic Motivation / 2.3.6：
Social Theories of Motivation / 2.4：
Conformity / 2.4.1：
Cultural Effect / 2.4.2：
Evolution / 2.4.3：
Combined Motivation Theories / 2.5：
Maslow's Hierarchy of Needs / 2.5.1：
Existence Relatedness Growth Theory / 2.5.2：
Towards Motivated Reinforcement Learning / 2.6：
Defining Reinforcement Learning / 3.1：
Dynamic Programming / 3.1.1：
Monte Carlo Methods / 3.1.2：
Temporal Difference Learning / 3.1.3：
Reinforcement Learning in Complex Environments / 3.2：
Partially Observable Environments / 3.2.1：
Function Approximation / 3.2.2：
Hierarchical Reinforcement Learning / 3.2.3：
Motivated Reinforcement Learning / 3.3：
Using a Motivation Signal in Addition to a Reward Signal / 3.3.1：
Using a Motivation Signal Instead of a Reward Signal / 3.3.2：
Comparing the Behaviour of Learning Agents / 3.4：
Player Satisfaction / 4.1：
Psychological Flow / 4.1.1：
Structural Flow / 4.1.2：
Formalising Non-Player Character Behaviour / 4.2：
Models of Optimality for Reinforcement Learning / 4.2.1：
Characteristics of Motivated Reinforcement Learning / 4.2.2：
Comparing Motivated Reinforcement Learning Agents / 4.3：
Statistical Model for Identifying Learned Tasks / 4.3.1：
Behavioural Variety / 4.3.2：
Behavioural Complexity / 4.3.3：
Developing Curious Characters Using Motivated Reinforcement Learning / 4.4：
Curiosity, Motivation and Attention Focus / 5：
Agents in Complex, Dynamic Environments / 5.1：
States / 5.1.1：
Actions / 5.1.2：
Reward and Motivation / 5.1.3：
Motivation and Attention Focus / 5.2：
Observations / 5.2.1：
Events / 5.2.2：
Tasks and Task Selection / 5.2.3：
Experience-Based Reward as Cognitive Motivation / 5.2.4：
Arbitration Functions / 5.2.5：
A General Experience-Based Motivation Function / 5.2.6：
Curiosity as Motivation for Support Characters / 5.3：
Curiosity as Interesting Events / 5.3.1：
Curiosity as Interesting and Competence / 5.3.2：
Motivated Reinforcement Learning Agents / 5.4：
A General Motivated Reinforcement Learning Model / 6.1：
Algorithms for Motivated Reinforcement Learning / 6.2：
Motivated Flat Reinforcement Learning / 6.2.1：
Motivated Multioption Reinforcement Learning / 6.2.2：
Motivated Hierarchical Reinforcement Learning / 6.2.3：
Curious Characters in Games / 6.3：
Curious Characters for Multiuser Games / 7：
Motivated Reinforcement Learning for Support Characters in Massively Multiplayer Online Role-Playing Games / 7.1：
Character Behaviour in Small-Scale, Isolated Games Locations / 7.2：
Case Studies of Individual Characters / 7.2.1：
General Trends in Character Behaviour / 7.2.2：
Curious Characters for Games in Complex, Dynamic Environments / 7.3：
Designing Characters That Can Multitask / 8.1：
Designing Characters for Complex Tasks / 8.1.1：
Games That Change While Characters Are Learning / 8.2.1：
Curious Characters for Games in Second Life / 8.3.1：
Motivated Reinforcement Learning in Open-Ended Simulation Games / 9.1：
Game Design / 9.1.1：
Character Design / 9.1.2：
Evaluating Character Behaviour in Response to Game Play Sequences / 9.2：
Discussion / 9.2.1：
Future / 9.3：
Towards the Future / 10：
Using Motivated Reinforcement Learning in Non-Player Characters / 10.1：
Other Gaming Applications for Motivated Reinforcement Learning / 10.2：
Dynamic Difficulty Adjustment / 10.2.1：
Procedural Content Generation / 10.2.2：
Beyond Curiosity / 10.3：
Biological Models of Motivation / 10.3.1：
Cognitive Models of Motivation / 10.3.2：
Social Models of Motivation / 10.3.3：
Combined Models of Motivation / 10.3.4：
New Models of Motivated Learning / 10.4：
Motivated Supervised Learning / 10.4.1：
Motivated Unsupervised Learning / 10.4.2：
Evaluating the Behaviour of Motivated Learning Agents / 10.5：
Concluding Remarks / 10.6：
Index / 10.7：
Non-Player Characters and Reinforcement Learning / Part I：
Non-Player Characters in Multiuser Games / 1：
Types of Multiuser Games / 1.1：
40.
ＥＢ
Kathryn E. Merrick, Mary Lou Maher
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2009
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Non-Player Characters and Reinforcement Learning / Part I：
Non-Player Characters in Multiuser Games / 1：
Types of Multiuser Games / 1.1：
Massively Multiplayer Online Role-Playing Games / 1.1.1：
Multiuser Simulation Games / 1.1.2：
Open-Ended Virtual Worlds / 1.1.3：
Character Roles in Multiuser Games / 1.2：
Existing Artificial Intelligence Techniques for Non-Player Characters in Multiuser Games / 1.3：
Reflexive Agents / 1.3.1：
Learning Agents / 1.3.2：
Evolutionary Agents / 1.3.3：
Smart Terrain / 1.3.4：
Summary / 1.4：
References / 1.5：
Motivation in Natural and Artificial Agents / 2：
Defining Motivation / 2.1：
Biological Theories of Motivation / 2.2：
Drive Theory / 2.2.1：
Motivational State Theory / 2.2.2：
Arousal / 2.2.3：
Cognitive Theories of Motivation / 2.3：
Curiosity / 2.3.1：
Operant Theory / 2.3.2：
Incentive / 2.3.3：
Achievement Motivation / 2.3.4：
Attribution Theory / 2.3.5：
Intrinsic Motivation / 2.3.6：
Social Theories of Motivation / 2.4：
Conformity / 2.4.1：
Cultural Effect / 2.4.2：
Evolution / 2.4.3：
Combined Motivation Theories / 2.5：
Maslow's Hierarchy of Needs / 2.5.1：
Existence Relatedness Growth Theory / 2.5.2：
Towards Motivated Reinforcement Learning / 2.6：
Defining Reinforcement Learning / 3.1：
Dynamic Programming / 3.1.1：
Monte Carlo Methods / 3.1.2：
Temporal Difference Learning / 3.1.3：
Reinforcement Learning in Complex Environments / 3.2：
Partially Observable Environments / 3.2.1：
Function Approximation / 3.2.2：
Hierarchical Reinforcement Learning / 3.2.3：
Motivated Reinforcement Learning / 3.3：
Using a Motivation Signal in Addition to a Reward Signal / 3.3.1：
Using a Motivation Signal Instead of a Reward Signal / 3.3.2：
Comparing the Behaviour of Learning Agents / 3.4：
Player Satisfaction / 4.1：
Psychological Flow / 4.1.1：
Structural Flow / 4.1.2：
Formalising Non-Player Character Behaviour / 4.2：
Models of Optimality for Reinforcement Learning / 4.2.1：
Characteristics of Motivated Reinforcement Learning / 4.2.2：
Comparing Motivated Reinforcement Learning Agents / 4.3：
Statistical Model for Identifying Learned Tasks / 4.3.1：
Behavioural Variety / 4.3.2：
Behavioural Complexity / 4.3.3：
Developing Curious Characters Using Motivated Reinforcement Learning / 4.4：
Curiosity, Motivation and Attention Focus / 5：
Agents in Complex, Dynamic Environments / 5.1：
States / 5.1.1：
Actions / 5.1.2：
Reward and Motivation / 5.1.3：
Motivation and Attention Focus / 5.2：
Observations / 5.2.1：
Events / 5.2.2：
Tasks and Task Selection / 5.2.3：
Experience-Based Reward as Cognitive Motivation / 5.2.4：
Arbitration Functions / 5.2.5：
A General Experience-Based Motivation Function / 5.2.6：
Curiosity as Motivation for Support Characters / 5.3：
Curiosity as Interesting Events / 5.3.1：
Curiosity as Interesting and Competence / 5.3.2：
Motivated Reinforcement Learning Agents / 5.4：
A General Motivated Reinforcement Learning Model / 6.1：
Algorithms for Motivated Reinforcement Learning / 6.2：
Motivated Flat Reinforcement Learning / 6.2.1：
Motivated Multioption Reinforcement Learning / 6.2.2：
Motivated Hierarchical Reinforcement Learning / 6.2.3：
Curious Characters in Games / 6.3：
Curious Characters for Multiuser Games / 7：
Motivated Reinforcement Learning for Support Characters in Massively Multiplayer Online Role-Playing Games / 7.1：
Character Behaviour in Small-Scale, Isolated Games Locations / 7.2：
Case Studies of Individual Characters / 7.2.1：
General Trends in Character Behaviour / 7.2.2：
Curious Characters for Games in Complex, Dynamic Environments / 7.3：
Designing Characters That Can Multitask / 8.1：
Designing Characters for Complex Tasks / 8.1.1：
Games That Change While Characters Are Learning / 8.2.1：
Curious Characters for Games in Second Life / 8.3.1：
Motivated Reinforcement Learning in Open-Ended Simulation Games / 9.1：
Game Design / 9.1.1：
Character Design / 9.1.2：
Evaluating Character Behaviour in Response to Game Play Sequences / 9.2：
Discussion / 9.2.1：
Future / 9.3：
Towards the Future / 10：
Using Motivated Reinforcement Learning in Non-Player Characters / 10.1：
Other Gaming Applications for Motivated Reinforcement Learning / 10.2：
Dynamic Difficulty Adjustment / 10.2.1：
Procedural Content Generation / 10.2.2：
Beyond Curiosity / 10.3：
Biological Models of Motivation / 10.3.1：
Cognitive Models of Motivation / 10.3.2：
Social Models of Motivation / 10.3.3：
Combined Models of Motivation / 10.3.4：
New Models of Motivated Learning / 10.4：
Motivated Supervised Learning / 10.4.1：
Motivated Unsupervised Learning / 10.4.2：
Evaluating the Behaviour of Motivated Learning Agents / 10.5：
Concluding Remarks / 10.6：
Index / 10.7：
Non-Player Characters and Reinforcement Learning / Part I：
Non-Player Characters in Multiuser Games / 1：
Types of Multiuser Games / 1.1：
41.
ＥＢ
Marcus S. Fisher
出版情報:
Springer eBooks Computer Science , Springer US, 2007
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Introduction / Chapter 1：
Managing Verification and Validation / Chapter 2：
The Axioms of Leadership / Section 2.1：
Planning / Section 2.2：
Establishing the V&V Requirements / Section 2.2.1：
Establishing the V&V Plan / Section 2.2.2：
Managing the Plan / Section 2.3：
Effectiveness Measures / Section 2.3.2：
Control Gates / Section 2.3.3：
Risk Management / Section 2.4：
Identify / Section 2.4.1：
Analyze / Section 2.4.2：
Plan / Section 2.4.3：
Track / Section 2.4.4：
Control / Section 2.4.5：
Risk Management Plan / Section 2.4.6：
Communication Structures / Section 2.5：
References
The Verification and Validation Life Cycle / Chapter 3：
Traceability Analysis / Section 3.1：
Interface Analysis / Section 3.2：
Phase Dependent Analysis / Section 3.3：
Requirements Analysis / Section 3.3.1：
Design Analysis / Section 3.3.2：
Code Analysis / Section 3.3.3：
Test Analysis / Section 3.3.4：
V&V Testing / Section 3.4：
Systems V&V / Chapter 4：
Appendix A
Index
Introduction / Chapter 1：
Managing Verification and Validation / Chapter 2：
The Axioms of Leadership / Section 2.1：
42.
ＥＢ
Joseph Wang
出版情報:
Wiley Online Library - AutoHoldings Books , Hoboken : John Wiley & Sons, Inc., 2006
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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：
Ethanol Electrodes / 6.1.1.2.2：
Urea Electrodes / 6.1.1.2.3：
Toxin (Enzyme Inhibition) Biosensors / 6.1.1.2.4：
Tissue and Bacteria Electrodes / 6.1.1.3：
Affinity Biosensors / 6.1.2：
Immunosensors / 6.1.2.1：
DNA Hybridization Biosensors / 6.1.2.2：
Background and Principles / 6.1.2.2.1：
Electrical Transduction of DNA Hybridization / 6.1.2.2.2：
Other Electrochemical DNA Biosensors / 6.1.2.2.3：
Receptor-Based Sensors / 6.1.2.3：
Electrochemical Sensors Based on Molecularly Imprinted Polymers / 6.1.2.4：
Gas Sensors / 6.2：
Carbon Dioxide Sensors / 6.2.1：
Oxygen Electrodes / 6.2.2：
Solid-State Devices / 6.3：
Ion-Selective Field Effect Transistors / 6.3.1：
Microfabrication of Solid-State Sensor Assemblies / 6.3.2：
Microfabrication Techniques / 6.3.3：
Micromachined Analytical Microsystems / 6.3.4：
Sensor Arrays / 6.4：
Index
Preface
Abbreviations and Symbols
Fundamental Concepts / 1：
43.
図書
Gabriel A. Pall ; forewords by A. Blantin [i.e. Blanton] Godfrey, Stephan H. Haeckelsa
出版情報:
Boca Raton : St. Lucie Press, c2000 xxix, 325 p. ; 25 cm
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The Case for Process Centering / Part I：
Doing Business in the Face of Change / Chapter 1.：
The Changing Business Environment / 1.1：
The Fundamental Success Factors / 1.1.1：
The New Challenge: Accelerated and Unpredictable Change / 1.1.2：
The Results of Change: What Is Really Happening? / 1.1.3：
The History of Change / 1.1.4：
Where Are We Today? / 1.2：
Problems with Today's Corporation / 1.2.1：
Today's Challenge / 1.2.2：
Summary / 1.3：
Traditional Ways of Coping with Change / Chapter 2.：
The Nature and Sources of Change / 2.1：
The Ping-Pong Response of Organizations to Change / 2.1.1：
Today's Customer-Driven Environment / 2.1.2：
Competition in the 21st Century / 2.1.3：
Traditional Responses to Change / 2.2：
Total Quality Management / 2.2.1：
Business Process Reengineering / 2.2.2：
Limitations of Traditional Reengineering / 2.2.3：
Limitations of the Traditional Approaches to Process Change / 2.3：
The Imperfection of Customer Needs / 2.3.1：
The Process Paradox / 2.3.2：
What Now? A Change in Managerial Attitudes / 2.4：
The Economic Value in Process Centering / 2.5：
Managing Work for Value Enhancement / 3.1：
The Value Contribution of Work / 3.1.1：
The Questionable Value Contribution of Downsizing / 3.1.2：
Investment in Business Processes for Economic Value Added / 3.2：
Impact on the Customer / 3.2.1：
Relevance to Overall Strategic Direction / 3.2.2：
The Viability of the Process / 3.2.3：
The Worth of the Process / 3.2.4：
Process Cost / 3.3：
The Cost of Conformance / 3.3.1：
The Cost of Nonconformance / 3.3.2：
The Cost of Quality as Management Tool / 3.3.3：
Productivity and Value / 3.3.4：
The Intellectual Value in Process Centering / 3.4：
The Emergence of Intellectual Assets / 4.1：
Intellectual Value Added / 4.2：
Customer Capital / 4.2.1：
Intellectual Capital / 4.2.2：
Net Added Value of Information Processed / 4.2.3：
The Role of Knowledge Management in Process Design / 4.3：
Process Centering Fundamentals / 4.4：
Understanding Processes / Chapter 5.：
Process Fundamentals / 5.1：
Classic Definitions / 5.1.1：
Process Control / 5.1.2：
Process Capability / 5.1.3：
Core Concepts of Process Thinking / 5.2：
Subject Process / 5.2.1：
Example for Subject Processes / 5.2.2：
Process Feedback / 5.2.3：
Process Quality / 5.2.4：
The Concept of Social Processes: The Human Element / 5.3：
Open Systems / 5.3.1：
Business Processes / 5.3.2：
Process Centering: The Basic Approach / 5.4：
Process Centering as the Prerequisite for Change / 6.1：
Definition of Process Centering / 6.1.1：
Commitment Management / 6.1.2：
Process Reengineering / 6.1.3：
Organizational Adaptability / 6.1.4：
Process Performance and Adaptability / 6.2：
Definitions / 6.2.1：
Adaptive Loops in Processes / 6.2.2：
The Superiority of Process Centering / 6.2.3：
Commitment Coordination and Process Alignment / 6.2.4：
What Needs To Be Done / 6.2.5：
Process Centering: The Response to Change / 6.3：
Response to Change / 7.1：
Upsizing and Growth / 7.1.1：
The Nature of Change / 7.1.2：
Response Characteristics / 7.2：
Information Intensity and Process Adaptability / 7.2.1：
Process Robustness / 7.2.2：
The Economics of Increasing Returns / 7.2.3：
Response Strategies for Growth / 7.3：
Processes as Product Offerings / 7.3.1：
Market Preempting / 7.3.2：
Process Investment Strategies for Growth / 7.3.3：
Process Centering: Role of the Individual / 7.4：
Process People / 8.1：
Empowerment, Commitment and Accountability / 8.1.1：
The Process Professional / 8.1.2：
The Process Team / 8.1.3：
Process Work / 8.2：
Multifunctional Work / 8.2.1：
Multidimensional Work / 8.2.2：
Valuable Work / 8.2.3：
Productive Work / 8.2.4：
Knowledge-Based Work / 8.2.5：
Rewarding Work / 8.2.6：
Work-Driven Shift in Personal Characteristics and Skills / 8.2.7：
Process-Related Roles and Responsibilities / 8.3：
Process Centering: The Management Team / 8.4：
Overseers and Implementers / 9.1：
Enterprise Transformation Executive / 9.1.1：
Enterprise Transformation Council / 9.1.2：
Business Process Management Executive / 9.1.3：
Business Process Owner / 9.1.4：
Business Process Management Team / 9.1.5：
Business Process Management Team Leader / 9.1.6：
Business Process Stakeholders / 9.1.7：
Process Management Resources / 9.2：
Process Contract / 9.2.1：
Process Training / 9.2.2：
Information Technology: The Response Integrator / 9.3：
Change and Information Intensity / 10.1：
Information Technology / 10.1.1：
Information Management for Adaptability / 10.2：
Two Key Process Components / 10.2.1：
Basic Functional Capabilities / 10.2.2：
Technology Assessment / 10.2.3：
Networked Collaborative Systems / 10.3：
Employee Training / 10.3.1：
Collaborative Work Practices / 10.3.2：
Wide-Area Networks / 10.3.3：
Groupware and Collaborative Computing / 10.3.4：
Fundamentals of Online Collaborative Systems / 10.3.5：
Collaborative System Architecture / 10.3.6：
Information Technology as Integrator / 10.4：
Deductive Thinking / 10.4.1：
Inductive Thinking / 10.4.2：
The Need Paradox / 10.4.3：
Process-Centered Management / 10.5：
Basics of Business Process Management / Chapter 11.：
Process Management Overview / 11.1：
The Process Management Roadmap / 11.1.1：
Classification of Business Processes / 11.1.2：
Process Planning / 11.2：
Process Identification and Mapping / 11.2.1：
Process Selection for Reengineering / 11.2.2：
Process Definition / 11.2.3：
Customer Requirements / 11.2.4：
Effective Process-Centered Management / 11.3：
The Operational View / 12.1：
The Two Dimensions of Process Management / 12.1.1：
Commitment Management and Communications / 12.1.2：
Process Resources / 12.1.3：
Process Measurements and Controls / 12.1.4：
Process Adaptability / 12.1.5：
Process Centering / 12.2：
Process Structure: The Holistic View / 12.3：
The Dynamic Business Process / 13.1：
The Holistic Process Model / 13.1.1：
The Workflow and Adaptive Loops / 13.1.3：
Alignment Engineering / 13.2：
Process Performance and Resources / 13.3：
Performance Measurement and Control / 14.1：
Process Measurement / 14.1.1：
Cycle-Time Reduction / 14.1.2：
Cycle-Time Basics / 14.2.1：
Business Cycle Time / 14.2.2：
Time To Respond / 14.2.3：
Time to Commitment / 14.2.4：
Performance Cycle Time / 14.2.5：
Human Resources and Adaptive Management Organization / 14.3：
Groupware / 14.4：
Enterprise Applications / 14.4.2：
Business Processes as Assets / 14.4.3：
Design for Adaptability / 14.5：
Traditional Design Approach to Adaptability / 15.1：
The Holistic Design Approach / 15.2：
Process Design Concepts / 15.2.1：
Design of New Process Structure / 15.2.2：
Redesign of Existing Process Structure / 15.2.3：
Design for Robust Commitments / 15.3：
Design for Process Adaptability / 16.1：
Backbone Network of Commitments / 16.1.1：
Workflow Reconfiguration / 16.1.2：
Design for Accountability / 16.2：
Culture of Accountability / 16.3：
Continuous Improvement and Planning / 16.4：
Process Improvement / 16.4.1：
Launching the Process / 16.4.2：
Process Implementation Planning / 17.1：
Integrated Implementation Planning / 17.1.1：
The Three Steps of Implementation Planning / 17.1.2：
Planning for Implementation Problems / 17.2：
Company-Wide Constraints / 17.2.1：
Process-Level Impediments / 17.2.2：
Cultural Resistance / 17.2.3：
Technology Constraints / 17.2.4：
Planning for Action / 17.3：
Process Deployment / 17.4：
The Process-Centered Organization in Operation / 17.5：
The Business Process Level / 18.1：
Process Ownership / 18.1.1：
Accountability Framework / 18.1.2：
Process Stakeholders / 18.1.3：
Continuous Process Assessment / 18.1.4：
The Enterprise Level / 18.2：
Operational Responsibilities / 18.2.1：
The Millennium Enterprise / 18.2.2：
Appendixes / 18.3：
The Tools of Process Centering / Appendix 1.：
Stand-Alone Software Tools / A1.1：
Process Modeling Tools / A1.1.1：
Process Documentation Tools / A1.1.2：
Process Simulation Tools / A1.1.3：
Process Mapping-Related Activity-Based Costing Tools / A1.1.4：
Project Management Tools / A1.1.5：
Groupware/Software Tools for Team Effectiveness / A1.1.6：
ERP-Based Software Tools / A1.2：
SAP / A1.2.1：
Oracle / A1.2.2：
Abbreviations and Acronyms / Appendix 2.：
Glossary
Endnotes
Bibliography
Index
The Case for Process Centering / Part I：
Doing Business in the Face of Change / Chapter 1.：
The Changing Business Environment / 1.1：
44.
ＥＢ
Rhodri H. Davies, Chris Taylor, Christopher J. Taylor, Carole Twining
出版情報:
Springer eBooks Computer Science , Springer, 2008
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Introduction / 1：
Example Applications of Statistical Models / 1.1：
Detecting Osteoporosis Using Dental Radiographs / 1.1.1：
Detecting Vertebral Fractures / 1.1.2：
Face Identification, Tracking, and Simulation of Ageing / 1.1.3：
Overview / 1.2：
Statistical Models of Shape and Appearance / 2：
Finite-Dimensional Representations of Shape / 2.1：
Shape Alignment / 2.1.1：
Statistics of Shapes / 2.1.2：
Principal Component Analysis / 2.1.3：
Modelling Distributions of Sets of Shapes / 2.2：
Gaussian Models / 2.2.1：
Kernel Density Estimation / 2.2.2：
Kernel Principal Component Analysis / 2.2.3：
Using Principal Components to Constrain Shape / 2.2.4：
Infinite-Dimensional Representations of Shape / 2.3：
Parameterised Representations of Shape / 2.3.1：
Applications of Shape Models / 2.4：
Active Shape Models / 2.4.1：
Active Appearance Models / 2.4.2：
Establishing Correspondence / 3：
The Correspondence Problem / 3.1：
Approaches to Establishing Correspondence / 3.2：
Manual Landmarking / 3.2.1：
Automatic Methods of Establishing Correspondence / 3.2.2：
Correspondence by Parameterisation / 3.2.2.1：
Distance-Based Correspondence / 3.2.2.2：
Feature-Based Correspondence / 3.2.2.3：
Correspondence Based on Physical Properties / 3.2.2.4：
Image-Based Correspondence / 3.2.2.5：
Summary / 3.2.3：
Correspondence by Optimisation / 3.3：
Objective Function / 3.3.1：
Manipulating Correspondence / 3.3.2：
Optimisation / 3.3.3：
Objective Functions / 4：
Shape-Based Objective Functions / 4.1：
Euclidian Distance and the Trace of the Model Covariance / 4.1.1：
Bending Energy / 4.1.2：
Curvature / 4.1.3：
Shape Context / 4.1.4：
Model-Based Objective Functions / 4.2：
The Determinant of the Model Covariance / 4.2.1：
Measuring Model Properties by Bootstrapping / 4.2.2：
Specificity / 4.2.2.1：
Generalization Ability / 4.2.2.2：
An Information Theoretic Objective Function / 4.3：
Shannon Codeword Length and Shannon Entropy / 4.3.1：
Description Length for a Multivariate Gaussian Model / 4.3.2：
Approximations to MDL / 4.3.3：
Gradient of Simplified MDL Objective Functions / 4.3.4：
Concluding Remarks / 4.4：
Re-parameterisation of Open and Closed Curves / 5：
Open Curves / 5.1：
Piecewise-Linear Re-parameterisation / 5.1.1：
Recursive Piecewise-Linear Re-parameterisation / 5.1.2：
Localized Re-parameterisation / 5.1.3：
Kernel-Based Representation of Re-parameterisation / 5.1.4：
Cauchy Kernels / 5.1.4.1：
Polynomial Re-parameterisation / 5.1.4.2：
Differentiable Re-parameterisations for Closed Curves / 5.2：
Wrapped Kernel Re-parameterisation for Closed Curves / 5.2.1：
Use in Optimisation / 5.3：
Parameterisation and Re-parameterisation of Surfaces / 6：
Surface Parameterisation / 6.1：
Initial Parameterisation for Open Surfaces / 6.1.1：
Initial Parameterisation for Closed Surfaces / 6.1.2：
Defining a Continuous Parameterisation / 6.1.3：
Removing Area Distortion / 6.1.4：
Consistent Parameterisation / 6.1.5：
Re-parameterisation of Surfaces / 6.2：
Re-parameterisation of Open Surfaces / 6.2.1：
Recursive Piecewise Linear Re-parameterisation / 6.2.1.1：
Re-parameterisation of Closed Surfaces / 6.2.1.2：
Recursive Piecewise-Linear Reparameterisation / 6.2.2.1：
Cauchy Kernel Re-parameterisation / 6.2.2.2：
Symmetric Theta Transformation / 6.2.2.4：
Asymmetric Theta Transformations / 6.2.2.5：
Shear Transformations / 6.2.2.6：
Re-parameterisation of Other Topologies / 6.2.3：
A Tractable Optimisation Approach / 6.3：
Optimising One Example at a Time / 7.1.1：
Stochastic Selection of Values for Auxiliary Parameters / 7.1.2：
Gradient Descent Optimisation / 7.1.3：
Optimising Pose / 7.1.4：
Tailoring Optimisation / 7.2：
Closed Curves and Surfaces / 7.2.1：
Open Surfaces / 7.2.2：
Multi-part Objects / 7.2.3：
Implementation Issues / 7.3：
Calculating the Covariance Matrix by Numerical Integration / 7.3.1：
Numerical Estimation of the Gradient / 7.3.2：
Sampling the Set of Shapes / 7.3.3：
Detecting Singularities in the Re-parameterisations / 7.3.4：
Example Optimisation Routines / 7.4：
Example 1: Open Curves / 7.4.1：
Example 2: Open Surfaces / 7.4.2：
Non-parametric Regularization / 8：
Regularization / 8.1：
Fluid Regularization / 8.1.1：
The Shape Manifold / 8.3：
The Induced Metric / 8.3.1：
Tangent Space / 8.3.2：
Covariant Derivatives / 8.3.3：
Shape Images / 8.4：
Iterative Updating of Shape Images / 8.5：
Dealing with Shapes with Spherical Topology / 8.5.2：
Avoiding Singularities by Re-gridding / 8.5.3：
Example Implementation of Non-parametric Regularization / 8.6：
Example Optimisation Routines Using Iterative Updating of Shape Images / 8.7：
Example 3: Open Surfaces Using Shape Images / 8.7.1：
Example 4: Optimisation of Closed Surfaces Using Shape Images / 8.7.2：
Evaluation of Statistical Models / 9：
Evaluation Using Ground Truth / 9.1：
Evaluation in the Absence of Ground Truth / 9.2：
Specificity and Generalization: Quantitative Measures / 9.2.1：
Specificity and Generalization as Graph-Based Estimators / 9.3：
Evaluating the Coefficients [beta subscript n, gamma] / 9.3.1：
Generalized Specificity / 9.3.2：
Specificity and Generalization in Practice / 9.4：
Discussion / 9.5：
Thin-Plate and Clamped-Plate Splines / Appendix A：
Curvature and Bending Energy / A.1：
Variational Formulation / A.2：
Green's Functions / A.3：
Green's Functions for the Thin-Plate Spline / A.3.1：
Green's Functions for the Clamped-Plate Spline / A.3.2：
Differentiating the Objective Function / Appendix B：
Finite-Dimensional Shape Representations / B.1：
The Pseudo-Inverse / B.1.1：
Varying the Shape / B.1.2：
From PCA to Singular Value Decomposition / B.1.3：
Infinite Dimensional Shape Representations / B.2：
Glossary
References
Index
Introduction / 1：
Example Applications of Statistical Models / 1.1：
Detecting Osteoporosis Using Dental Radiographs / 1.1.1：
45.
ＥＢ
Rhodri H. Davies, Chris Taylor, Christopher J. Taylor, Carole Twining
出版情報:
SpringerLink Books - AutoHoldings , Springer, 2008
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Introduction / 1：
Example Applications of Statistical Models / 1.1：
Detecting Osteoporosis Using Dental Radiographs / 1.1.1：
Detecting Vertebral Fractures / 1.1.2：
Face Identification, Tracking, and Simulation of Ageing / 1.1.3：
Overview / 1.2：
Statistical Models of Shape and Appearance / 2：
Finite-Dimensional Representations of Shape / 2.1：
Shape Alignment / 2.1.1：
Statistics of Shapes / 2.1.2：
Principal Component Analysis / 2.1.3：
Modelling Distributions of Sets of Shapes / 2.2：
Gaussian Models / 2.2.1：
Kernel Density Estimation / 2.2.2：
Kernel Principal Component Analysis / 2.2.3：
Using Principal Components to Constrain Shape / 2.2.4：
Infinite-Dimensional Representations of Shape / 2.3：
Parameterised Representations of Shape / 2.3.1：
Applications of Shape Models / 2.4：
Active Shape Models / 2.4.1：
Active Appearance Models / 2.4.2：
Establishing Correspondence / 3：
The Correspondence Problem / 3.1：
Approaches to Establishing Correspondence / 3.2：
Manual Landmarking / 3.2.1：
Automatic Methods of Establishing Correspondence / 3.2.2：
Correspondence by Parameterisation / 3.2.2.1：
Distance-Based Correspondence / 3.2.2.2：
Feature-Based Correspondence / 3.2.2.3：
Correspondence Based on Physical Properties / 3.2.2.4：
Image-Based Correspondence / 3.2.2.5：
Summary / 3.2.3：
Correspondence by Optimisation / 3.3：
Objective Function / 3.3.1：
Manipulating Correspondence / 3.3.2：
Optimisation / 3.3.3：
Objective Functions / 4：
Shape-Based Objective Functions / 4.1：
Euclidian Distance and the Trace of the Model Covariance / 4.1.1：
Bending Energy / 4.1.2：
Curvature / 4.1.3：
Shape Context / 4.1.4：
Model-Based Objective Functions / 4.2：
The Determinant of the Model Covariance / 4.2.1：
Measuring Model Properties by Bootstrapping / 4.2.2：
Specificity / 4.2.2.1：
Generalization Ability / 4.2.2.2：
An Information Theoretic Objective Function / 4.3：
Shannon Codeword Length and Shannon Entropy / 4.3.1：
Description Length for a Multivariate Gaussian Model / 4.3.2：
Approximations to MDL / 4.3.3：
Gradient of Simplified MDL Objective Functions / 4.3.4：
Concluding Remarks / 4.4：
Re-parameterisation of Open and Closed Curves / 5：
Open Curves / 5.1：
Piecewise-Linear Re-parameterisation / 5.1.1：
Recursive Piecewise-Linear Re-parameterisation / 5.1.2：
Localized Re-parameterisation / 5.1.3：
Kernel-Based Representation of Re-parameterisation / 5.1.4：
Cauchy Kernels / 5.1.4.1：
Polynomial Re-parameterisation / 5.1.4.2：
Differentiable Re-parameterisations for Closed Curves / 5.2：
Wrapped Kernel Re-parameterisation for Closed Curves / 5.2.1：
Use in Optimisation / 5.3：
Parameterisation and Re-parameterisation of Surfaces / 6：
Surface Parameterisation / 6.1：
Initial Parameterisation for Open Surfaces / 6.1.1：
Initial Parameterisation for Closed Surfaces / 6.1.2：
Defining a Continuous Parameterisation / 6.1.3：
Removing Area Distortion / 6.1.4：
Consistent Parameterisation / 6.1.5：
Re-parameterisation of Surfaces / 6.2：
Re-parameterisation of Open Surfaces / 6.2.1：
Recursive Piecewise Linear Re-parameterisation / 6.2.1.1：
Re-parameterisation of Closed Surfaces / 6.2.1.2：
Recursive Piecewise-Linear Reparameterisation / 6.2.2.1：
Cauchy Kernel Re-parameterisation / 6.2.2.2：
Symmetric Theta Transformation / 6.2.2.4：
Asymmetric Theta Transformations / 6.2.2.5：
Shear Transformations / 6.2.2.6：
Re-parameterisation of Other Topologies / 6.2.3：
A Tractable Optimisation Approach / 6.3：
Optimising One Example at a Time / 7.1.1：
Stochastic Selection of Values for Auxiliary Parameters / 7.1.2：
Gradient Descent Optimisation / 7.1.3：
Optimising Pose / 7.1.4：
Tailoring Optimisation / 7.2：
Closed Curves and Surfaces / 7.2.1：
Open Surfaces / 7.2.2：
Multi-part Objects / 7.2.3：
Implementation Issues / 7.3：
Calculating the Covariance Matrix by Numerical Integration / 7.3.1：
Numerical Estimation of the Gradient / 7.3.2：
Sampling the Set of Shapes / 7.3.3：
Detecting Singularities in the Re-parameterisations / 7.3.4：
Example Optimisation Routines / 7.4：
Example 1: Open Curves / 7.4.1：
Example 2: Open Surfaces / 7.4.2：
Non-parametric Regularization / 8：
Regularization / 8.1：
Fluid Regularization / 8.1.1：
The Shape Manifold / 8.3：
The Induced Metric / 8.3.1：
Tangent Space / 8.3.2：
Covariant Derivatives / 8.3.3：
Shape Images / 8.4：
Iterative Updating of Shape Images / 8.5：
Dealing with Shapes with Spherical Topology / 8.5.2：
Avoiding Singularities by Re-gridding / 8.5.3：
Example Implementation of Non-parametric Regularization / 8.6：
Example Optimisation Routines Using Iterative Updating of Shape Images / 8.7：
Example 3: Open Surfaces Using Shape Images / 8.7.1：
Example 4: Optimisation of Closed Surfaces Using Shape Images / 8.7.2：
Evaluation of Statistical Models / 9：
Evaluation Using Ground Truth / 9.1：
Evaluation in the Absence of Ground Truth / 9.2：
Specificity and Generalization: Quantitative Measures / 9.2.1：
Specificity and Generalization as Graph-Based Estimators / 9.3：
Evaluating the Coefficients [beta subscript n, gamma] / 9.3.1：
Generalized Specificity / 9.3.2：
Specificity and Generalization in Practice / 9.4：
Discussion / 9.5：
Thin-Plate and Clamped-Plate Splines / Appendix A：
Curvature and Bending Energy / A.1：
Variational Formulation / A.2：
Green's Functions / A.3：
Green's Functions for the Thin-Plate Spline / A.3.1：
Green's Functions for the Clamped-Plate Spline / A.3.2：
Differentiating the Objective Function / Appendix B：
Finite-Dimensional Shape Representations / B.1：
The Pseudo-Inverse / B.1.1：
Varying the Shape / B.1.2：
From PCA to Singular Value Decomposition / B.1.3：
Infinite Dimensional Shape Representations / B.2：
Glossary
References
Index
Introduction / 1：
Example Applications of Statistical Models / 1.1：
Detecting Osteoporosis Using Dental Radiographs / 1.1.1：
46.
ＥＢ
John Aldo Lee, M. Jordan, John A. Lee, Michel Verleysen
出版情報:
Springer eBooks Computer Science , Springer New York, 2007
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Notations
Acronyms
High-Dimensional Data / 1：
Practical motivations / 1.1：
Fields of application / 1.1.1：
The goals to be reached / 1.1.2：
Theoretical motivations / 1.2：
How can we visualize high-dimensional spaces? / 1.2.1：
Curse of dimensionality and empty space phenomenon / 1.2.2：
Some directions to be explored / 1.3：
Relevance of the variables / 1.3.1：
Dependencies between the variables / 1.3.2：
About topology, spaces, and manifolds / 1.4：
Two benchmark manifolds / 1.5：
Overview of the next chapters / 1.6：
Characteristics of an Analysis Method / 2：
Purpose / 2.1：
Expected functionalities / 2.2：
Estimation of the number of latent variables / 2.2.1：
Embedding for dimensionality reduction / 2.2.2：
Embedding for latent variable separation / 2.2.3：
Internal characteristics / 2.3：
Underlying model / 2.3.1：
Algorithm / 2.3.2：
Criterion / 2.3.3：
Example: Principal component analysis / 2.4：
Data model of PCA / 2.4.1：
Criteria leading to PCA / 2.4.2：
Functionalities of PCA / 2.4.3：
Algorithms / 2.4.4：
Examples and limitations of PCA / 2.4.5：
Toward a categorization of DR methods / 2.5：
Hard vs. soft dimensionality reduction / 2.5.1：
Traditional vs. generative model / 2.5.2：
Linear vs. nonlinear model / 2.5.3：
Continuous vs. discrete model / 2.5.4：
Implicit vs. explicit mapping / 2.5.5：
Integrated vs. external estimation of the dimensionality / 2.5.6：
Layered vs. standalone embeddings / 2.5.7：
Single vs. multiple coordinate systems / 2.5.8：
Optional vs. mandatory vector quantization / 2.5.9：
Batch vs. online algorithm / 2.5.10：
Exact vs. approximate optimization / 2.5.11：
The type of criterion to be optimized / 2.5.12：
Estimation of the Intrinsic Dimension / 3：
Definition of the intrinsic dimension / 3.1：
Fractal dimensions / 3.2：
The q-dimension / 3.2.1：
Capacity dimension / 3.2.2：
Information dimension / 3.2.3：
Correlation dimension / 3.2.4：
Some inequalities / 3.2.5：
Practical estimation / 3.2.6：
Other dimension estimators / 3.3：
Local methods / 3.3.1：
Trial and error / 3.3.2：
Comparisons / 3.4：
Data Sets / 3.4.1：
PCA estimator / 3.4.2：
Local PCA estimator / 3.4.3：
Concluding remarks / 3.4.5：
Distance Preservation / 4：
State-of-the-art / 4.1：
Spatial distances / 4.2：
Metric space, distances, norms and scalar product / 4.2.1：
Multidimensional scaling / 4.2.2：
Sammon's nonlinear mapping / 4.2.3：
Curvilinear component analysis / 4.2.4：
Graph distances / 4.3：
Geodesic distance and graph distance / 4.3.1：
Isomap / 4.3.2：
Geodesic NLM / 4.3.3：
Curvilinear distance analysis / 4.3.4：
Other distances / 4.4：
Kernel PC A / 4.4.1：
Semidefinite embedding / 4.4.2：
Topology Preservation / 5：
State of the art / 5.1：
Predefined lattice / 5.2：
Self-Organizing Maps / 5.2.1：
Generative Topographic Mapping / 5.2.2：
Data-driven lattice / 5.3：
Locally linear embedding / 5.3.1：
Laplacian eigenmaps / 5.3.2：
Isotop / 5.3.3：
Method comparisons / 6：
Toy examples / 6.1：
The Swiss roll / 6.1.1：
Manifolds having essential loops or spheres / 6.1.2：
Cortex unfolding / 6.2：
Image processing / 6.3：
Artificial faces / 6.3.1：
Real faces / 6.3.2：
Conclusions / 7：
Summary of the book / 7.1：
The problem / 7.1.1：
A basic solution / 7.1.2：
Dimensionality reduction / 7.1.3：
Latent variable separation / 7.1.4：
Intrinsic dimensionality estimation / 7.1.5：
Data flow / 7.2：
Variable Selection / 7.2.1：
Calibration / 7.2.2：
Linear dimensionality reduction / 7.2.3：
Nonlinear dimensionality reduction / 7.2.4：
Further processing / 7.2.5：
Model complexity / 7.3：
Taxonomy / 7.4：
Distance preservation / 7.4.1：
Topology preservation / 7.4.2：
Spectral methods / 7.5：
Nonspectral methods / 7.6：
Tentative methodology / 7.7：
Perspectives / 7.8：
Matrix Calculus / A：
Singular value decomposition / A.1：
Eigenvalue decomposition / A.2：
Square root of a square matrix / A.3：
Gaussian Variables / B：
One-dimensional Gaussian distribution / B.1：
Multidimensional Gaussian distribution / B.2：
Uncorrelated Gaussian variables / B.2.1：
Isotropic multivariate Gaussian distribution / B.2.2：
Linearly mixed Gaussian variables / B.2.3：
Optimization / C：
Newton's method / C.1：
Finding extrema / C.1.1：
Multivariate version / C.1.2：
Gradient ascent/descent / C.2：
Stochastic gradient descent / C.2.1：
Vector quantization / D：
Classical techniques / D.1：
Competitive learning / D.2：
Initialization and ""dead units"" / D.3：
Graph Building / E：
Without vector quantization / E.1：
K-rule / E.1.1：
e-rule / E.1.2：
r-rule / E.1.3：
With vector quantization / E.2：
Data rule / E.2.1：
Histogram rule / E.2.2：
Implementation Issues / F：
Dimension estimation / F.1：
Computation of the closest point(s) / F.1.1：
References / F.3：
Index
Notations
Acronyms
High-Dimensional Data / 1：
47.
ＥＢ
Dmitry Yu Ivanov
出版情報:
Wiley Online Library - AutoHoldings Books , Weinheim : John Wiley & Sons, Inc., 2008
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Foreword to the Russian Edition
Foreword to the English Edition
Editor's Preface
Introduction
The Statics of Critical Phenomena / Part I：
Statics of Critical Phenomena in the Nearest Vicinity of the Critical Point: Experimental Manifestation / 1：
Short History of Critical Phenomena Research / 1.1：
Peculiarities of the Experiment in the Nearest Vicinity of the Critical Point / 1.2：
"Experimental" Critical Indices / 1.2.1：
Determination of Critical Parameters / 1.2.2：
Purity of Matter / 1.2.3：
Determination of Critical Density / 1.2.4：
Determination of Critical Temperature and Pressure / 1.2.5：
Experiments Near the Critical Point in the Presence of the Gravitational Field / 1.3：
The Gravitational Effect / 1.3.1：
The Coexistence Curve / 1.3.2：
Singularity of the Diameter of the Coexistence Curve / 1.3.3：
The Critical Isotherm / 1.3.4：
Isothermal Compressibility Along the Critical Isochore / 1.3.5：
(p-T)-Dependence Along the Critical Isochore / 1.3.6：
Critical Indices and Amplitudes / 2：
Phenomenological Model of the Critical Behavior of Nonideal Systems / 2.1：
Critical Indices: External Field Effects / 2.2：
Critical Index [beta] / 2.2.1：
The Influence of Surface Forces / 2.2.1.1：
The Influence of Fields: Comparison with Magnetic Materials / 2.2.1.3：
Comparison with Metals / 2.2.1.4：
Critical Index [delta] / 2.2.2：
The Influence of Gravitation / 2.2.2.1：
The Influence of Coulomb Forces / 2.2.2.2：
Critical Index [gamma] / 2.2.3：
Critical Index [alpha] / 2.2.3.1：
Critical Index of the Correlation Radius [nu] / 2.2.4.1：
Micellar Systems / 2.2.6：
Influence of Boundaries: Finite-Size Effects / 2.2.7：
Results and Consequences / 2.2.8：
Some Unresolved Problems / 2.2.9：
Universal Relations Between Critical Indices / 2.3：
Universal Relations Between Critical Amplitudes / 2.3.2：
Correlation Between Critical Index and Critical Amplitude Values / 2.3.3：
Thermodynamics of the Metastable State / 3：
The "Pseudospinodal" Hypothesis / 3.1：
The History of the Occurrence of the "Pseudospinodal Hypthesis" / 3.1.1：
The Universal "Pseudospinodal" / 3.1.2：
The van der Waals Spinodal / 3.2：
First-Order Stability Conditions / 3.2.1：
Higher Order Stability Conditions / 3.2.2：
Approaching the Instability Points / 3.2.3：
The Instability Area / 3.2.4：
Thermodynamic Analysis of the "Pseudospinodal" Hypothesis / 3.3：
Physics and Geometry / 3.3.1：
Mathematical Foundation / 3.3.2：
Thermodynamic Consequences / 3.3.3：
Experimental Test of the "Pseudospinodal" Hypothesis / 3.4：
The Dynamics of Critical Phenomena / Part II：
Foundations of Critical Dynamics / 4：
Critical Fluctuations: Light Scattering Intensity / 4.1：
Kinetics of Critical Fluctuations: Light Scattering Spectrum / 4.3：
Dynamic Critical Indices and Universal Amplitude / 4.4：
Scattering of Higher Orders / 4.5：
Critical Opalescence: Modeling / 5：
Techniques and Experimental Methods / 5.1：
Experimental Setup / 5.2.1：
General Characteristics / 5.2.1.1：
The Optical System / 5.2.1.2：
Correlator / 5.2.1.3：
Time Correlation Function for High Scattering Multiplicities / 5.2.1.4：
Cumulants of the Correlation Function / 5.2.1.5：
Afterpulses / 5.2.1.6：
Physical Modeling / 5.3：
Model Systems / 5.3.1：
Dependence of the Spectrum Half-width of Multiple Scattering on the Physical Characteristics of the System and on the Scattering Multiplicity / 5.3.2：
Dependence on the Viscosity of the Fluid / 5.3.2.1：
Dependence on the Optical Thickness of the Scattering Medium / 5.3.2.2：
Angular Dependence / 5.3.2.3：
Dependence on the Polarization Mode / 5.3.2.4：
Dependence on the Concentration of the Scatterer / 5.3.2.5：
Dependence on the Dimensions of the Scattering Media / 5.3.2.6：
Mathematical Modeling / 5.4：
The Simplest Diffusion Model Approach / 5.4.1：
The First Approach / 5.4.1.1：
The Second Approach / 5.4.1.2：
Mathematical Model of Multiple Scattering / 5.4.2：
Basic Concepts of Radiation-Transport Theory / 5.4.2.1：
Multiple Scattering Spectra Determined via the Radiation-Transport Theory / 5.4.2.2：
Transition to High Multiplicity Scattering / 5.4.2.3：
Effect of the Shape of the Sample on the Mean Scattering Multiplicity / 5.4.2.4：
On the Nature of the Constant [Gamma subscript 0] / 5.5：
The Relation of [Gamma subscript 0] to the Size of the Scatterers / 5.5.1：
The Relation of [Gamma subscript 0] to the Depth of the Diffusion Source / 5.5.2：
Critical Opalescence: Theory and Experiment / 6：
Theory of Critical Opalescence Spectra / 6.1：
Analysis of the Behavior of [Gamma subscript m] Close to the Critical Point / 6.2.1：
Calculation of the Limiting Values of Key Quantities / 6.2.1.1：
Calculation of the Temperature Dependence / 6.2.1.2：
Analysis of the Obtained Results / 6.2.1.3：
Experiments Close to the Mixing Critical Point / 6.3：
Choice of the Object of Research / 6.3.1：
Binary Mixture Aniline-Cyclohexane / 6.3.3：
Experimental Results / 6.3.4：
Heating of the "Critical" Medium by Probe Radiation / 6.4：
Thermal Conductivity in the Vicinity of the Critical Point / 7：
Thermal Conductivity of NH[subscript 3] Near to the Critical Point / 7.1：
Experimental Setup for Determining Thermal Conductivity / 7.2.1：
Experimental Results: Background Thermal Conductivity / 7.2.2：
Extended Mode-Coupling (EMC) Theory / 7.2.3：
Static Light Scattering: The Extinction Coefficient / 7.3：
The Experimental Setup for Light Scattering / 7.3.1：
Results and Analysis of the Optical Experiment / 7.3.2：
Density Derivative of the Dielectric Constant / 7.3.3：
Determination of [nu] and [xi subscript 0] Using Light Scattering / 7.4：
Critical Dynamics: Comparison of Theory and Experiment / 7.5：
Universal Dynamic Amplitude R / 7.5.1：
Thermal Conductivity Critical Index, [open phi] / 7.5.2：
Checking the Feasibility of the Universal Relations Between the Critical Amplitudes for Ammonia / 7.5.3：
Thermal Conductivity of Ammonia in the Wide Neighborhood of the Critical Point / 7.5.4：
Conclusion / 7.6：
Some Applications of the Photon Correlation Technique / A：
Diffusing-Wave Spectroscopy / A.1：
Method of Determination of the Mean Dimension and Concentration of Suspended Particles / A.2：
Monitoring of Particle Motion in Drying Films / A.3：
Dynamics of Particle Formation and Growth / A.4：
Supercritical Fluids / A.4.1：
Opaque Systems / A.4.2：
Sol-Gel Process / A.4.3：
References
Index
Foreword to the Russian Edition
Foreword to the English Edition
Editor's Preface
48.
ＥＢ
John Aldo Lee, M. Jordan, John A. Lee, Michel Verleysen, B. Schölkopf
出版情報:
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Notations
Acronyms
High-Dimensional Data / 1：
Practical motivations / 1.1：
Fields of application / 1.1.1：
The goals to be reached / 1.1.2：
Theoretical motivations / 1.2：
How can we visualize high-dimensional spaces? / 1.2.1：
Curse of dimensionality and empty space phenomenon / 1.2.2：
Some directions to be explored / 1.3：
Relevance of the variables / 1.3.1：
Dependencies between the variables / 1.3.2：
About topology, spaces, and manifolds / 1.4：
Two benchmark manifolds / 1.5：
Overview of the next chapters / 1.6：
Characteristics of an Analysis Method / 2：
Purpose / 2.1：
Expected functionalities / 2.2：
Estimation of the number of latent variables / 2.2.1：
Embedding for dimensionality reduction / 2.2.2：
Embedding for latent variable separation / 2.2.3：
Internal characteristics / 2.3：
Underlying model / 2.3.1：
Algorithm / 2.3.2：
Criterion / 2.3.3：
Example: Principal component analysis / 2.4：
Data model of PCA / 2.4.1：
Criteria leading to PCA / 2.4.2：
Functionalities of PCA / 2.4.3：
Algorithms / 2.4.4：
Examples and limitations of PCA / 2.4.5：
Toward a categorization of DR methods / 2.5：
Hard vs. soft dimensionality reduction / 2.5.1：
Traditional vs. generative model / 2.5.2：
Linear vs. nonlinear model / 2.5.3：
Continuous vs. discrete model / 2.5.4：
Implicit vs. explicit mapping / 2.5.5：
Integrated vs. external estimation of the dimensionality / 2.5.6：
Layered vs. standalone embeddings / 2.5.7：
Single vs. multiple coordinate systems / 2.5.8：
Optional vs. mandatory vector quantization / 2.5.9：
Batch vs. online algorithm / 2.5.10：
Exact vs. approximate optimization / 2.5.11：
The type of criterion to be optimized / 2.5.12：
Estimation of the Intrinsic Dimension / 3：
Definition of the intrinsic dimension / 3.1：
Fractal dimensions / 3.2：
The q-dimension / 3.2.1：
Capacity dimension / 3.2.2：
Information dimension / 3.2.3：
Correlation dimension / 3.2.4：
Some inequalities / 3.2.5：
Practical estimation / 3.2.6：
Other dimension estimators / 3.3：
Local methods / 3.3.1：
Trial and error / 3.3.2：
Comparisons / 3.4：
Data Sets / 3.4.1：
PCA estimator / 3.4.2：
Local PCA estimator / 3.4.3：
Concluding remarks / 3.4.5：
Distance Preservation / 4：
State-of-the-art / 4.1：
Spatial distances / 4.2：
Metric space, distances, norms and scalar product / 4.2.1：
Multidimensional scaling / 4.2.2：
Sammon's nonlinear mapping / 4.2.3：
Curvilinear component analysis / 4.2.4：
Graph distances / 4.3：
Geodesic distance and graph distance / 4.3.1：
Isomap / 4.3.2：
Geodesic NLM / 4.3.3：
Curvilinear distance analysis / 4.3.4：
Other distances / 4.4：
Kernel PC A / 4.4.1：
Semidefinite embedding / 4.4.2：
Topology Preservation / 5：
State of the art / 5.1：
Predefined lattice / 5.2：
Self-Organizing Maps / 5.2.1：
Generative Topographic Mapping / 5.2.2：
Data-driven lattice / 5.3：
Locally linear embedding / 5.3.1：
Laplacian eigenmaps / 5.3.2：
Isotop / 5.3.3：
Method comparisons / 6：
Toy examples / 6.1：
The Swiss roll / 6.1.1：
Manifolds having essential loops or spheres / 6.1.2：
Cortex unfolding / 6.2：
Image processing / 6.3：
Artificial faces / 6.3.1：
Real faces / 6.3.2：
Conclusions / 7：
Summary of the book / 7.1：
The problem / 7.1.1：
A basic solution / 7.1.2：
Dimensionality reduction / 7.1.3：
Latent variable separation / 7.1.4：
Intrinsic dimensionality estimation / 7.1.5：
Data flow / 7.2：
Variable Selection / 7.2.1：
Calibration / 7.2.2：
Linear dimensionality reduction / 7.2.3：
Nonlinear dimensionality reduction / 7.2.4：
Further processing / 7.2.5：
Model complexity / 7.3：
Taxonomy / 7.4：
Distance preservation / 7.4.1：
Topology preservation / 7.4.2：
Spectral methods / 7.5：
Nonspectral methods / 7.6：
Tentative methodology / 7.7：
Perspectives / 7.8：
Matrix Calculus / A：
Singular value decomposition / A.1：
Eigenvalue decomposition / A.2：
Square root of a square matrix / A.3：
Gaussian Variables / B：
One-dimensional Gaussian distribution / B.1：
Multidimensional Gaussian distribution / B.2：
Uncorrelated Gaussian variables / B.2.1：
Isotropic multivariate Gaussian distribution / B.2.2：
Linearly mixed Gaussian variables / B.2.3：
Optimization / C：
Newton's method / C.1：
Finding extrema / C.1.1：
Multivariate version / C.1.2：
Gradient ascent/descent / C.2：
Stochastic gradient descent / C.2.1：
Vector quantization / D：
Classical techniques / D.1：
Competitive learning / D.2：
Initialization and ""dead units"" / D.3：
Graph Building / E：
Without vector quantization / E.1：
K-rule / E.1.1：
e-rule / E.1.2：
r-rule / E.1.3：
With vector quantization / E.2：
Data rule / E.2.1：
Histogram rule / E.2.2：
Implementation Issues / F：
Dimension estimation / F.1：
Computation of the closest point(s) / F.1.1：
References / F.3：
Index
Notations
Acronyms
High-Dimensional Data / 1：
49.
図書
Michael Beetz
目次情報:
続きを見る
Abstract
Acknowledgements
List of Figures
Introduction / 1：
The Approach / 1.1：
Technical Challenges / 1.2：
Introductory Example / 1.3：
Motivation / 1.4：
Relevance for Autonomous Robot Control / 1.4.1：
Relevance for AI Planning / 1.4.2：
The Computational Problem and Its Solution / 1.5：
The Computational Problem / 1.5.1：
The Computational Model / 1.5.2：
Contributions / 1.6：
Outline of the Book / 1.7：
Reactivity / 2：
The DeliveryWorld / 2.1：
The World / 2.1.1：
Commands and Jobs / 2.1.2：
The Robot / 2.1.3：
Justification of the DeliveryWorld / 2.1.4：
The Implementation of Routine Activities / 2.2：
Plan Steps vs. Concurrent Control Processes / 2.2.1：
Interfacing Continuous Control Processes / 2.2.2：
Coordinating Control Processes / 2.2.3：
Synchronization of Concurrent Control Threads / 2.2.4：
Failure Recovery / 2.2.5：
Perception / 2.2.6：
State, Memory, and World Models / 2.2.7：
The Structure of Routine Activities / 2.2.8：
The Structured Reactive Controller / 2.3：
Behavior and Planning Modules / 2.3.1：
The Body of the Structured Reactive Controller / 2.3.2：
Global Fluents, Variables, and the Plan Library / 2.3.3：
The RPL Runtime System / 2.3.4：
Summary and Discussion / 2.4：
Planning / 3：
The Structured Reactive Plan / 3.1：
Plans as Syntactic Objects / 3.1.1：
RPL as a Plan Language / 3.1.2：
The Computational Structure / 3.2：
The "Criticize-Revise" Cycle / 3.2.1：
The "Criticize" Step / 3.2.2：
The "Revise" Step / 3.2.3：
The XFRM Planning Framework / 3.3：
Anticipation and Forestalling of Behavior Flaws / 3.4：
The Detection of Behavior Flaws / 3.4.1：
Behavior Flaws and Plan Revisions / 3.4.2：
The Diagnosis of Behavior Flaws / 3.4.3：
Transparent Reactive Plans / 3.5：
Declarative Statements / 4.1：
RPL Construct Descriptions / 4.1.1：
Achievement Goals / 4.1.2：
Perceptions / 4.1.3：
Beliefs / 4.1.4：
Other Declarative Statements / 4.1.5：
Using Declarative Statements / 4.1.6：
Routine Plans / 4.2：
The Plan Library / 4.3：
Behavior Modules / 4.3.1：
Low-level Plans / 4.3.2：
High-level Plans / 4.3.3：
Discussion / 4.4：
Representing Plan Revisions / 5：
Conceptualization / 5.1：
Making Inferences / 5.2：
Some Examples / 5.2.1：
Accessing Code Trees / 5.2.2：
Predicates on Plan Interpretations / 5.2.3：
Predicates on Timelines / 5.2.4：
Timelines and Plan Interpretation / 5.2.5：
Expressing Plan Revisions / 5.3：
XFRML - The Implementation / 5.4：
Forestalling Behavior Flaws / 5.5：
FAUST / 6.1：
The Behavior Critic / 6.1.1：
Detecting Behavior Flaws: Implementation / 6.1.2：
Diagnosing the Causes of Behavior Flaws: Implementation / 6.1.3：
The Bug Class "Behavior-Specification Violation" / 6.1.4：
The Elimination of Behavior Flaws / 6.1.5：
The Plan Revisions for the Example / 6.2：
Some Behavior Flaws and Their Revisions / 6.3：
Perceptual Confusion / 6.3.1：
Missed Deadlines / 6.3.2：
Planning Ongoing Activities / 6.4：
Extending RPL / 7.1：
The RUNTIME-PLAN Statement / 7.1.1：
Plan Swapping / 7.1.2：
Making Planning Assumptions / 7.1.3：
Deliberative Controllers / 7.2：
Improving Iterative Plans by Local Planning / 7.2.1：
Plan Execution a la Shakey / 7.2.2：
Execution Monitoring and Replanning / 7.2.3：
Recovering from Execution Failures / 7.2.4：
Some Robot Control Architectures / 7.2.5：
The Controller in the Experiment / 7.3：
Evaluation / 7.4：
Analysis of the Problem / 8.1：
Assessment of the Method / 8.2：
Description of the Method / 8.2.1：
Evaluation of the Method / 8.2.2：
Demonstration / 8.3：
Evaluating SRCs in Standard Situations / 8.3.1：
Comparing SRCs with the Appropriate Fixed Controller179 / 8.3.2：
Problems that Require SRCs / 8.3.3：
Related Work / 8.4：
Control Architectures for Competent Physical Agents / 8.4.1：
Control Languages for Reactive Control / 8.4.2：
Robot Planning / 8.4.3：
Conclusion / 9：
What Do Structured Reactive Controllers Do? / 9.1：
Why Do Structured Reactive Controllers Work? / 9.2：
Do Structured Reactive Controllers Work for Real Robots? / 9.3：
References
Abstract
Acknowledgements
List of Figures
50.
ＥＢ
Center for Chemical Process Safety (CCPS), American Institute of Chemical Engineers, American Institute for Chemical Engineers., American Institute for Chemical Enginners.
出版情報:
Wiley Online Library - AutoHoldings Books , John Wiley & Sons, Inc., 2003
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Preface
Acknowledgments
Introduction / 1：
Building on the Past / 1.1：
Who Should Read This Book? / 1.2：
The Guideline's Objectives / 1.3：
The Continuing Evolution of Incident Investigation / 1.4：
Designing an Incident Investigation Management System / 2：
Preplanning Considerations / 2.1：
An Organization's Responsibilities / 2.1.1：
The Benefit of Management's Commitment / 2.1.2：
The Role of the Developers / 2.1.3：
Integration with Other Functions and Teams / 2.1.4：
Regulatory and Legal Issues / 2.1.5：
Typical Management System Topics / 2.2：
Classifying Incidents / 2.2.1：
Other Options for Establishing Classification Criteria / 2.2.2：
Specifying Documentation / 2.2.3：
Describing Team Organization and Functions / 2.2.4：
Setting Training Requirements / 2.2.5：
Emphasizing Root Causes / 2.2.6：
Developing Recommendations / 2.2.7：
Fostering a Blame-Free Policy / 2.2.8：
Implementing the Recommendations and Follow-Up Activities / 2.2.9：
Resuming Normal Operation and Establishing Restart Criteria / 2.2.10：
Providing a Template for Formal Reports / 2.2.11：
Review and Approval / 2.2.12：
Planning for Continuous Improvement / 2.2.13：
Implementing the Management System / 2.3：
Initial Implementation-Training / 2.3.1：
Initial Implementation-Data Management System.References / 2.3.2：
An Overview of Incident Causation Theories / 3：
Stages of a Process-Related Incident / 3.1：
Three Phases of Process-Related Incidents / 3.1.1：
The Importance of Latent Failures / 3.1.2：
Theories of Incident Causation / 3.2：
Domino Theory of Causation / 3.2.1：
System Theory / 3.2.2：
Hazard-Barrier-Target Theory / 3.2.3：
Investigation's Place in Controlling Risk / 3.3：
Relationship between Near Misses and Incidents / 3.4：
Endnotes
An Overview of Investigation Methodologies / 4：
Historical Approach / 4.1：
Modern Structured Approach / 4.2：
Methodologies Used by CCPS Members / 4.3：
Description of Tools / 4.4：
Brainstorming / 4.4.1：
Timelines / 4.4.2：
Sequence Diagrams / 4.4.3：
Causal Factor Identification / 4.4.4：
Checklists / 4.4.5：
Predefined Trees / 4.4.6：
Team-Developed Logic Trees / 4.4.7：
Selecting an Appropriate Methodology / 4.5：
Reporting and Investigating Near Misses / 5：
Defining a Near Miss / 5.1：
Obstacle to Near Miss Reporting and Recommended Solutions / 5.2：
Fear of Disciplinary Action / 5.2.1：
Fear of Embarrassment / 5.2.2：
Lack of Understanding: Near Miss versus Nonincident / 5.2.3：
Lack of Management Commitment and Folow-through / 5.2.4：
High Level of Effort to Report and Investigate / 5.2.5：
Disincentives for Reporting Near Misses / 5.2.6：
Not Knowing Which Investigation System to Use / 5.2.7：
Legal Aspects / 5.3：
The Impact of Human Factors / 6：
Defining Human Factors / 6.1：
Human Factors Concepts / 6.2：
Skills-Rules-Knowledge Model / 6.2.1：
Human Behavior / 6.2.2：
Incorporating Human Factors into the Incident Investigation Process / 6.3：
Finding the Causes / 6.3.1：
How an Incident Evolves / 6.4：
Organizational Factors / 6.4.1：
Unsafe Supervision / 6.4.2：
Preconditions for Unsafe Acts / 6.4.3：
Unsafe Acts / 6.4.4：
Checklists and Flowcharts / 6.5：
Building and Leading an Incident Investigation Team / 7：
Team Approach / 7.1：
Advantage of the Team Approach / 7.2：
Leading a Process Safety Incident Investigation Team / 7.3：
Potential Team Composition / 7.4：
Training Potential Team Members and Support Personnel / 7.5：
Building a Team for a Specific Incident / 7.6：
Minor Incidents / 7.6.1：
Limited Impact Incidents / 7.6.2：
Significant Incidents / 7.6.3：
High Potential Incidents / 7.6.4：
Catastrophic Incidents / 7.6.5：
Developing a Specific Investigation Plan / 7.7：
Team Operations / 7.8：
Setting Criteria for Resuming Normal Operations / 7.9：
Preface
Acknowledgments
Introduction / 1：
ＥＢ
図書
