1.
図書
Piedad Brox, Iluminada Baturone, and Santiago Sánchez-Solano
目次情報:
続きを見る
Basic Concepts / 1：
Television Transmission Systems / 1.1：
Monochrome Television Systems / 1.1.1：
Analog Color Television Broadcast Systems / 1.1.2：
Digital Color Television Broadcast Systems / 1.1.3：
Equipment for Broadcasting Television Images / 1.2：
Video Cameras / 1.2.1：
Movie Cameras / 1.2.2：
Film-to-Video Transference: Pull-Down Process / 1.2.3：
The Need of De-Interlacing / 1.3：
Review of De-Interlacing Algorithms / 1.3.1：
Implementation of Video De-Interlacing / 1.4：
Consumer Video Processing Chips / 1.4.1：
De-Interlacing Implementations Based on DSPs, FPGAs and IP Cores / 1.4.2：
The Role of Fuzzy Logic in Video Processing / 1.5：
Basic Concepts of Fuzzy Logic Theory / 1.5.1：
CAD Tools for Designing Fuzzy Systems / 1.5.2：
Conclusions / 1.6：
References
Fuzzy Motion-Adaptive Algorithm for Video De-Interlacing / 2：
Motion-Adaptive De-Interlacing / 2.1：
Van de Ville et al. Proposal / 2.2：
A New Fuzzy Motion-Adaptive De-Interlacing Algorithm / 2.3：
Simulation Results / 2.4：
Results on Benchmark Video Sequences / 2.4.1：
Detailed Results on Three Sequences / 2.4.2：
Design Options of the Fuzzy Motion-Adaptive Algorithm / 2.5：
Convolution Mask Options / 3.1：
Rule Base Options / 3.1.1：
Tuning of Membership Function and Consequent Parameters / 3.2.1：
Reference / 3.2.2：
Fuzzy Motion-Adaptive De-Interlacing with Edge-Adaptive Spatial Interpolation / 4：
Basic Fuzzy-ELA Algorithm / 4.1：
Determination of the Membership Function Parameters / 4.1.1：
Performance of the Basic Fuzzy-ELA Algorithm / 4.1.2：
Modifications of the Basic Fuzzy-ELA Algorithm / 4.2：
Recursive Fuzzy-ELA Algorithm / 4.2.1：
ELA 5+5 and Fuzzy-ELA 5+5 Algorithm / 4.2.2：
Improved Fuzzy-ELA 5+5 Algorithm / 4.2.3：
Comparison of the Fuzzy-ELA Algorithms / 4.2.4：
Robustness of Fuzzy Proposals against Noise / 4.2.5：
Fuzzy Motion Adaptive Algorithm with the 'Improved Fuzzy-ELA 5+5' as Spatial Interpolator / 4.2.6：
Fuzzy Motion-Adaptive De-Interlacing with Smart Temporal Interpolation / 4.3：
A Smart Temporal Interpolator / 5.1：
Morphological Operations / 5.1.1：
Performance of the Proposed Algorithm / 5.2：
Evolution of the Fuzzy De-Interlacing Proposals / 5.3：
Comparison with MC De-Interlacing Methods / 5.4：
Glossary / 5.5：
Index
Basic Concepts / 1：
Television Transmission Systems / 1.1：
Monochrome Television Systems / 1.1.1：
2.
図書
Xiaoxia Huang
目次情報:
続きを見る
What Is Portfolio Analysis / 1：
Security Return / 1.1：
Portfolio Return / 1.2：
What Is Risk / 1.3：
Portfolio Analysis and IRR Graph / 1.4：
Probabilistic Portfolio Selection / 2：
Fundamentals of Probability Theory / 2.1：
Mean-Risk Model / 2.2：
Risk Curve / 2.2.1：
Confidence Curve and Safe Portfolio / 2.2.2：
Application Example / 2.2.3：
ß-Return-Risk Model / 2.3：
Probability Minimization Model / 2.3.1：
Mean-Variance Model / 2.4.1：
Mean-Semivariance Model / 2.5.1：
Hybrid Intelligent Algorithm / 2.6：
Random Number Generation / 2.6.1：
Stochastic Simulations / 2.6.2：
Genetic Algorithm / 2.6.3：
Remarks / 2.6.4：
Credibilistic Portfolio Selection / 3：
Fundamentals of Credibility Theory / 3.1：
Crisp Equivalent / 3.2：
An Example / 3.2.5：
Credibility Minimization Model / 3.3：
Entropy Optimization Model / 3.4.1：
Fuzzy Simulation / 3.7：
Numerical Example / 3.7.2：
Uncertain Portfolio Selection / 4：
Fundamentals of Uncertainty Theory / 4.1：
Examples / 4.2：
Chance Minimization Model / 4.3：
A Solution Algorithm / 4.4.1：
Model Varieties / 4.5.4：
Entropy and Diversification / 5.1：
Mean-Risk Diversification Models / 5.2：
ß-Return-Risk Diversification Models / 5.3：
Chance Minimization Diversification Models / 5.4：
Mean-Variance Diversification Models / 5.5：
References
List of Frequently Used Symbols
Index
What Is Portfolio Analysis / 1：
Security Return / 1.1：
Portfolio Return / 1.2：
3.
図書
E.K. Polychroniadis, Ahmet Yavuz Oral, Mehmet Ozer, editors
4.
図書
Xikui Li, Yuntian Feng, Graham Mustoe, editors
5.
図書
editors, Alexander S. Mikhailov, Gerhard Ertl
6.
図書
Gianpaolo Carosi, Gray Rybka, Karl van Bibber, editors
7.
図書
Piero Nicolini ... [et al.], editors
8.
図書
Carlos Merino, editor
9.
図書
Alireza Sadeghian, Jerry M. Mendel, Hooman Tahayori, editors
10.
図書
Oscar Castillo
11.
図書
volume editor, Robert M. Metzger
12.
図書
Christer Carlsson, Robert Fuller
目次情報:
続きを見る
Introduction / 1：
Concepts and Issues / 2：
Fuzzy Sets / 2.1：
The Extension Principle / 2.2：
Averaging Operators / 2.3：
Possibility Distributions / 2.4：
Probability Distributions / 2.5：
A Normative View on Possibility Distributions / 3：
Possibilistic Mean Value / 3.1：
Illustrations / 3.1.1：
Possibilistic Variance / 3.2：
Possibilistic Covariance / 3.2.1：
Possibilistic Correlation Coefficient / 3.3.1：
Non-interactive Fuzzy Numbers / 3.5：
Perfect Correlation / 3.5.2：
Joint Distribution: (1 - x - y) / 3.5.3：
Joint Distribution: (y-x) / 3.5.4：
Ball-Shaped Joint Possibility Distribution / 3.5.5：
Mere Shadows / 3.5.6：
Zero Correlation and Non-interactivity / 3.6：
Possibilistic Correlation Ratio / 3.7：
A Linear Relationship / 3.8：
A Nonlinear Relationship / 3.8.2：
Joint Distribution: (1 û√x-y) / 3.8.3：
Ball-Shaped Joint Distribution / 3.8.4：
Joint Distribution: (1 - √x-√y) / 3.8.5：
A Normative View on Quasi Fuzzy Numbers / 3.9：
Exponential Membership Function / 3.9.1：
Addition and Subtraction of Interactive Fuzzy Numbers / 3.10：
OWA Operators in Multiple Criteria Decisions / 4：
Obtaining OWA Operator Weights / 4.1：
Constrained OWA Aggregations / 4.2：
Recent Advances / 4.3：
OCA Functions for Group Settlement Modeling / 4.4：
Optimal Unconditional Settlement / 4.4.1：
Optimal Settlement under Budget Constraints / 4.4.2：
Optimal Settlement under Flexible Budget Constraints / 4.4.3：
Olympic OWA Operators for Modeling Group Decisions / 4.5：
Group Decisions under Fuzzy Budget Constraints / 4.5.1：
Fuzzy Real Options for Strategic Decisions / 5：
A Probabilistic Model / 5.1：
A Fuzzy Model / 5.2：
A Binomial Model / 5.3：
Closing Production Plants - When and Where / 5.4：
Production, Exports, Jobs and Investments / 5.4.1：
The Production Plant and Future Scenarios / 5.4.2：
Closing/Not Closing a Plant: A Case Study / 5.4.3：
A Binomial Analysis / 5.4.4：
A Fuzzy Interval Analysis / 5.4.5：
A Comparative Analysis / 5.4.6：
Discussion and Conclusions / 5.4.7：
A Fuzzy Pay-Off Method for Real Option Valuation / 5.5：
Optimal R&D Project Portfolios / 5.6：
Portfolio Selection with Imprecise Future Data / 6：
Possibilistic Choice of Portfolios with Highest Utility Score / 6.1：
Risk Assessment in Grid Computing / 6.2：
Risk Assessment / 7.1：
Predictive Probabilities / 7.2：
The Predictive Nature of Bayesian Inference / 7.3：
Predictive Probabilities in Grid Computing Management / 7.4：
A Hybrid Approach to Computing a Measure of Success / 7.5：
Predictive Possibilities / 7.6：
Predictive Possibilities in Grid Computing Management / 7.7：
Knowledge Mobilization / 8：
Ontologies / 8.1：
Description Logics / 8.2：
The Knowledge Mobilization Project / 8.3：
Fuzzy Ontology for Process Industry / 8.3.1：
The Keyword Ontology / 8.3.2：
A Minimax Approach to Assess Keyword Dependencies / 8.3.3：
Demo Architecture and Implementation / 8.3.4：
An Approximate Reasoning Approach to Rank the Results of Fuzzy Queries / 8.4：
Mobile Value Services / 9：
Design Science and Mobile Service Design / 9.1：
Mobile Services and Mobile Value Services / 9.2：
Design and Implementation of Mobile Value Services / 9.3：
Designing Mobile Value Services / 9.4：
A Business Model / 9.5：
The New Interactive Media (NIM) ÅLand Project / 9.6：
Stakeholder and User Involvement / 9.6.1：
User Acceptance Studies / 9.6.2：
Method / 9.6.3：
Results / 9.6.4：
Discussion, Limitations and Conclusions / 9.6.5：
Will Mobile TV be a Value Service for Consumers? / 9.7：
The Braudel Rule / 9.7.1：
A Brief Review: The Mobile TV Development and user Studies / 9.7.2：
Early Experience from Finland / 9.7.3：
The use of Mobile TV in Finland - The Consumer Survey / 9.7.4：
Data Analysis and the Results / 9.7.5：
Discussion / 9.7.6：
Mobile Value Services: Conclusions and the Next Steps / 9.8：
References
Index
Introduction / 1：
Concepts and Issues / 2：
Fuzzy Sets / 2.1：
13.
図書
R.K. Sharma, D.S. Rawal, editors
14.
図書
Paulo A. Ribeiro, Maria Raposo, editors
15.
図書
Rudolf Seising...[et al.] (eds.)
16.
図書
Zhen-An Liu, editor
17.
図書
P.K. Giri, D.K. Goswami, A. Perumal, editors
18.
図書
Anna M. Gil-Lafuente, Jamie Gil-Lafuente, and José M. Merigó-Lindahl
19.
図書
Olena Fesenko, Leonid Yatsenko, Mikhaylo Brodin, editors
20.
図書
edited by Pertti Auerkari and Juha Veivo ; organised by VTT
出版情報:
Vuorimiehentie, Finland : VTT Technical Research Centre of Finland, c2010 2 v. ; 25 cm
シリーズ名:
VTT Symposium ; 264-265
子書誌情報:
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所蔵情報:
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21.
図書
Alexander Gegov
目次情報:
続きを見る
Introduction / 1：
Attributes of Systemic Complexity / 1.1：
Complexity Management by Fuzzy Logic / 1.2：
Description of Book Chapters / 1.3：
Types of Fuzzy Systems / 2：
Introduction to Fuzzy Systems / 2.1：
Systems with Single Rule Base / 2.2：
Systems with Multiple Rule Bases / 2.3：
Systems with Networked Rule Bases / 2.4：
Comparison of Fuzzy Systems / 2.5：
Formal Models for Fuzzy Networks / 3：
Introduction to Formal Models / 3.1：
If-then Rules and Integer Tables / 3.2：
Boolean Matrices and Binary Relations / 3.3：
Grid and Interconnection Structures / 3.4：
Incidence and Adjacency Matrices / 3.5：
Block Schemes and Topological Expressions / 3.6：
Comparison of Formal Models / 3.7：
Basic Operations in Fuzzy Networks / 4：
Introduction to Basic Operations / 4.1：
Horizontal Merging of Nodes / 4.2：
Horizontal Splitting of Nodes / 4.3：
Vertical Merging of Nodes / 4.4：
Vertical Splitting of Nodes / 4.5：
Output Merging of Nodes / 4.6：
Output Splitting of Nodes / 4.7：
Combined Operations on Nodes / 4.8：
Comparison of Basic Operations / 4.9：
Structural Properties of Basic Operations / 5：
Introduction to Structural Properties / 5.1：
Associativity of Horizontal Merging / 5.2：
Variability of Horizontal Splitting / 5.3：
Associativity of Vertical Merging / 5.4：
Variability of Vertical Splitting / 5.5：
Associativity of Output Merging / 5.6：
Variability of Output Splitting / 5.7：
Mixed Properties of Operations / 5.8：
Comparison of Structural Properties / 5.9：
Advanced Operations in Fuzzy Networks / 6：
Introduction to Advanced Operations / 6.1：
Node Transformation for Input Augmentation / 6.2：
Node Transformation for Output Permutation / 6.3：
Node Transformation for Feedback Equivalence / 6.4：
Node Identification in Horizontal Merging / 6.5：
Node Identification in Vertical Merging / 6.6：
Node Identification in Output Merging / 6.7：
Comparison of Advanced Operations / 6.8：
Feedforward Fuzzy Networks / 7：
Preliminaries on Feedforward Fuzzy Networks / 7.1：
Networks with Single Level and Single Layer / 7.2：
Networks with Single Level and Multiple Layers / 7.3：
Networks with Multiple Levels and Single Layer / 7.4：
Networks with Multiple Levels and Multiple Layers / 7.5：
Summary on Feedforward Fuzzy Networks / 7.6：
Feedback Fuzzy Networks / 8：
Preliminaries on Feedback Fuzzy Networks / 8.1：
Networks with Single Local Feedback / 8.2：
Networks with Multiple Local Feedback / 8.3：
Networks with Single Global Feedback / 8.4：
Networks with Multiple Global Feedback / 8.5：
Summary on Feedback Fuzzy Networks / 8.6：
Evaluation of Fuzzy Networks / 9：
Preliminaries on Fuzzy Network Evaluation / 9.1：
Assessment of Structural Complexity / 9.2：
Composition of Hierarchical Fuzzy Systems / 9.3：
Decomposition of Standard Fuzzy Systems / 9.4：
Indicators of Model Performance / 9.5：
Applications for Case Studies / 9.6：
Summary on Fuzzy Network Evaluation / 9.7：
Conclusion / 10：
Theoretical Significance of Fuzzy Networks / 10.1：
Methodological Impact of Fuzzy Networks / 10.2：
Application Areas of Fuzzy Networks / 10.3：
Philosophical Aspects of Book Contents / 10.4：
References
Index
Introduction / 1：
Attributes of Systemic Complexity / 1.1：
Complexity Management by Fuzzy Logic / 1.2：
22.
図書
Bing-Yuan Cao
目次情報:
続きを見る
Prepare Knowledge / 1：
Fuzzy Sets / 1.1：
Operations in Fuzzy Sets / 1.2：
α-Cut and Convex Fuzzy Sets / 1.3：
Fuzzy Relativity and Operator / 1.4：
Fuzzy Functions / 1.5：
Three Mainstream Theorems in Fuzzy Mathematics / 1.6：
Five-Type Fuzzy Numbers / 1.7：
Regression and Self-regression Models with Fuzzy Coefficients / 2：
Regression Model with Fuzzy Coefficients / 2.1：
Self-regression Models with (·, c)-Fuzzy Coefficients / 2.2：
Exponential Model with Fuzzy Parameters / 2.3：
Regression and Self-regression Models with Flat Fuzzy Coefficients / 2.4：
Linear Regression with Triangular Fuzzy Numbers / 2.5：
Regression and Self-regression Models with Fuzzy Variables / 3：
Regression Model with T - Fuzzy Variables / 3.1：
Self-regression Model with T - Fuzzy Variables / 3.2：
Regression Model with (·, c) Fuzzy Variables / 3.3：
Self-regression with (·, c) Fuzzy Variables / 3.4：
Nonlinear Regression with T-fuzzy Data to be Linearized / 3.5：
Regression and Self-regression Models with Flat Fuzzy Variables / 3.6：
Fuzzy Input-Output Model / 4：
Fuzzy Input-Output Mathematical Model / 4.1：
Input-Output Model with T-Fuzzy Data / 4.2：
Input-Output Model with Triangular Fuzzy Data / 4.3：
Fuzzy Cluster Analysis and Fuzzy Recognition / 5：
Fuzzy Cluster Analysis / 5.1：
Fuzzy Recognition / 5.2：
Fuzzy Linear Programming / 6：
Fuzzy Linear Programming and Its Algorithm / 6.1：
Expansion on Optimal Solution of Fuzzy Linear Programming / 6.2：
Discussion of Optimal Solution to Fuzzy Constraints Linear Programming / 6.3：
Relation between Fuzzy Linear Programming and Its Dual One / 6.4：
Antinomy in Fuzzy Linear Programming / 6.5：
Fuzzy Linear Programming Based on Fuzzy Numbers Distance / 6.6：
Linear Programming with L-R Coefficients / 6.7：
Linear Programming Model with T-Fuzzy Variables / 6.8：
Multi-Objective Linear Programming with T-Fuzzy Variables / 6.9：
Fuzzy Geometric Programming / 7：
Introduction of Fuzzy Geometric Programming / 7.1：
Lagrange Problem in Fuzzy Geometric Programming / 7.2：
Antinomy in Fuzzy Geometric Programming / 7.3：
Geometric Programming with Fuzzy Coefficients / 7.4：
Geometric Programming with (α, c) Coefficients / 7.5：
Geometric Programming with L-R Coefficients / 7.6：
Geometric Programming with Flat Coefficients / 7.7：
Geometric Programming with Fuzzy Variables / 7.8：
Dual Method of Geometric Programming with Fuzzy Variables / 7.9：
Multi-Objective Geometric Programming with T-Fuzzy Variables / 7.10：
Fuzzy Relative Equation and Its Optimizing / 8：
(<$>, <$>) Fuzzy Relative Equation / 8.1：
(<$>, ·) Fuzzy Relative Equation / 8.2：
Algorithm Application and Comparing in (<$>, ·) Relative Equations / 8.3：
Lattice Linear Programming with (<$>, ·) Operator / 8.4：
Fuzzy Relation Geometric Programming with (<$>, <$>) Operator / 8.5：
Fuzzy Relation Geometric Programming with (<$>, ·) Operator / 8.6：
Interval and Fuzzy Differential Equations / 9：
Interval Ordinary Differential Equations / 9.1：
Fuzzy-Valued Ordinary Differential Equations / 9.2：
Ordinary Differential Equations with Fuzzy Variables / 9.3：
Fuzzy Duoma Debted Model / 9.4：
Model for Fuzzy Solow Growth in Economics / 9.5：
Application of Fuzzy Economic Model / 9.6：
Interval and Fuzzy Functional and Their Variation / 10：
Interval Functional and Its Variation / 10.1：
Fuzzy-Valued Functional and Its Variation / 10.2：
Convex Interval and Fuzzy Function and Functional / 10.3：
Convex Fuzzy-Valued Function and Functional / 10.4：
Variation of Condition Extremum on Interval and Fuzzy-Valued Functional / 10.5：
Variation of Condition Extremum on Functional with Fuzzy Function / 10.6：
References
Index
Prepare Knowledge / 1：
Fuzzy Sets / 1.1：
Operations in Fuzzy Sets / 1.2：
23.
図書
volume authors, Romas Baronas, Feliksas Ivanauskas, Juozas Kulys
目次情報:
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Introduction
Analytical Modeling of Biosensors / Part I：
Biosensor Action
Kinetics of Biocatalytical Reactions / 1：
Transducer Function / 2：
Scheme of Biosensor Action / 3：
Modeling Biosensors at Steady State and Internal Diffusion Limitations
Biosensors Containing Single Enzyme
Biosensors Containing Multienzymes
Consecutive Substrates Conversion / 2.1：
Parallel Substrates Conversion / 2.2：
Biosensors Utilizing Cyclic Substrates Conversion / 2.3：
Biosensors Utilizing Synergistic Substrates Conversion
Biosensors Based on Chemically Modified Electrodes / 4：
Modeling Biosensors at Steady State and External Diffusion Limitations
Biosensor Using Single Enzyme
Biosensors with Multienzymes
Biosensor Utilizing Non Michaelis-Menten Enzyme
Modeling Biosensors Utilizing Microbial Cells
Metabolite Biosensor
BOD Biosensor
Modeling Nonstationary State of Biosensors
Potentiometric Biosensors
Amperometric Biosensors
Numerical Modeling of Biosensors / Part II：
Mono-layer Mono-Enzyme Models of Biosensors
Mathematical Model of an Amperometric Biosensor
Governing Equations / 1.1：
Initial and Boundary Conditions / 1.2：
Dimensionless Model / 1.3：
Characteristics of the Biosensor Response
Biosensor Current
Biosensor Sensitivity
Maximal Gradient of the Current
Response Time / 2.4：
Finite Difference Solution
Numerical Approximation of Equations / 3.1：
Calculation Procedure / 3.2：
Validation of Numerical Solution / 3.3：
Numerical Errors Analysis / 3.4：
Pecularities of the Biosenser Response
Effect of the Enzyme Membrane Thickness / 4.1：
Stability of the Response / 4.2：
The Response Versus the Substrate Concentration / 4.3：
The Response Verus the Maximal Enzymatic rate / 4.4：
Choosing the Enzyme Membrane Thickness / 4.5：
Biocensor Resistance / 4.6：
Maximal gradient of the Current / 4.7：
Flow Injection Analysis / 5：
Mathematical Model / 5.1：
Numerical Solution / 5.2：
Biosensor Response / 5.3：
Peculiarities of the Biosensor Response / 5.4：
Sequential Injection analysis / 5.5：
Biosensors with chemical Amplification / 6：
Finite difference solution / 6.1：
Concentration profiles / 6.3：
Mathematical model / 6.4：
Biosensor response / 7.2：
Validation of numerical solution / 7.3：
Simulated Biosensor Response / 7.5：
Enzyme Inhibition / 7.6：
Substrate Inhibition / 8.1：
Effect of Substrate Inhibition / 8.2：
Product Inhibition / 8.3：
Effect of Product Inhibition / 8.4：
One-Layer Multi-Enzyme Models of Biosensors
Biosensors Response to Mixture of Compounds
Solution of the Problem
Generation of Data Sets
Concluding Remarks / 1.4：
Biosensors Acting in Trigger Mode
Mathematical Models
Simulated Response
Peculiarities of the Response
Multi-Layer Models of Biosensors / 2.5：
Multi-Layer Approach
Mathematical Model of Multi-Layer System
Numerical Approximation
Three-Layer Model
Two-Compartment Model
Transient Numerical Solution
Simulated Biosensor Responses
Effect of the Diffusion Layer
The Nernst Diffusion Layer / 2.6：
Impact of the Diffusion Module / 2.7：
Biosensors with Outer Porous Membrane
Numerical Simulation
Effect of the Porous Membrane
Biosensors with Selective and Outer Perforated Membranes
Biosensors Based on Chemically Modified Electrode
Simulated Biosensor Action
Impact of the substrate concentration / 5.6：
Optical and Fluorescence Biosensors / 5.7：
Numerical Biosensor Action
Modelising biosensors of complex geometry
Biosensor based on heterogeneous microreactor
Structure of Modeling Biosensor
Effect of the Tortuosity of the Microreactor matrix
Effect of the Porosity of the Microreactor Matrix / 1.5：
Concluding remarks / 1.6：
Biosensor Based on Array of Microreactors
Principal Structure of Biosensor
Numerical simulation
Effect of the electrode coverage with enzyme
Plate-Gap biosensor
Prinicipal structure of biosensor
Governing equations
Intial conditions
Boundary and matching conditions / 3.5：
Effect of the Gaps Geometry / 3.6：
Biosensors with selective and perforated membranes / 3.9：
Principal structure of biosensor
Effect of the perforation topology
Numerical methods for reaction-diffusion equations / Part III：
The Difference Schemes for the Diffusion Equation
The Grids
An Equidistant Grid in the Straight
A Non-equidistant Grid in a Straight
The Equidistant Grid in a Plane
The Non-equidistant Grid in a Plane
The Grid in a Multidimensional Case
The Approximation of the Function Derivatives
The Derivative of the First Order
The Approximation of the Second Order Derivative
The Approximation of the Second Order Derivative on a Non-equidistant Grid
The Explicit Difference Scheme
The Calculation of a Solution
The Convergence and the Stability
The Implicit Difference Scheme
The Elimination Method for the System of Linear Equations
Stability of the Elimination Method
The Crank-Nicolson Difference Scheme
The Difference Scheme with the Weights
The Crank-Nicolson Difference Scheme on Non-equidistance Grid
The Explicit Difference Scheme in the Cylindrical Coordinates / 9：
The Convergence and Stability / 9.1：
The Crank-Nicolson Difference Scheme in the Cylindrical Coordinates / 10：
The Discontinuous Diffusion Coefficient / 10.1：
The Difference Schemes for the Reaction-Diffusion Equations / 12：
The Boundary-Value Problem for the System of Reaction-Diffusion Equations
The Non-linear Crank-Nicolson Type Difference Scheme
Calculation of a Solution
The Linear Crank-Nicolson Type Difference Scheme
Law of Conservation of Mass
The Alternating Directions Method
The Explicit Method for the Multidimensional Problems
References
Index
About Authors
Introduction
Analytical Modeling of Biosensors / Part I：
Biosensor Action
24.
図書
Gongtian Shen, Zhanwen Wu, Junjiao Zhang, editors
25.
図書
Bassano Vacchini, Heinz-Peter Breuer, Angelo Bassi, editors
26.
図書
edited by Shu T. Lai
目次情報:
続きを見る
Preface
Acronyms and Abbreviations
Nomenclature
Overview of Surface and Deep Dielectric Charging on Spacecraft / Shu T. LaiChapter 1：
Introduction / 1.1：
Overview / 1.2：
Historical Development / 1.3：
Some Spacecraft Charging Topics and Treads / 1.4：
Reference
Incoming and Outgoing Electrons / Chapter 2：
Fundamental Physics of Spacecraft Charging / 2.1：
Secondary and Backscattered Electrons / 2.3：
Current Balance / 2.4：
Outgoing Electrons: SEY and BEY Functions / 2.5：
Recommentations / 2.6：
Incoming Electrons: Maxwellian and Kappa Distributions / 2.7：
Spacecraft Charging, Arcing, and Sustained Arcs in Low Earth Orbit / Dale C. FergusonChapter 3：
Environments / 3.1：
Plasma Interactions / 3.3：
Mitigation Techniques / 3.4：
Modeling / 3.5：
Testimg / 3.6：
Surface Discharge on Spacecraft / Mengu ChoChapter 4：
Potential Gradient at Triple Junction / 4.1：
Surface Differential Charging / 4.3：
Inverted Potential Gradient ESD Inception Mechanism / 4.4：
Primary Arc Growth and Its Detrimental Effects / 4.5：
Secondary Arc on the Spacecraft Power System / 4.6：
Discharge Caused by Internal Charging / 4.7：
Conclusion
Spacecract Charging Simulation / Chapter 5：
Principles of Spacecraft Charging Simulation / 5.1：
Spacecraft Charging Simulation Codes / 5.3：
Applications of Spacecraft Charging Simulations / 5.4：
Numerical Techniques / 5.5：
Validation / 5.6：
Key Points to a Good Charging Simulation Code and Further Improvements / 5.7：
Future Subjects / 5.8：
Spacecraft Charging in the Auroral Oval / Lars EliassonChapter 6：
Environment and Charging in the Auroral Region / 6.1：
Plasma Effects on Spacecraft in the Auroral Region / 6.3：
Auroral Charging in Middle Earth Orbit / 6.4：
Auroral Charging in Low Earth Orbit / 6.5：
Discussion and Conclusions for future Missions / 6.6：
Internal Charging / D. J. Rodgers ; J. SorensenChapter 7：
Mechanism / 7.1：
Effects of Internal Charging / 7.3：
Spacecraft Anomalies / 7.4：
Experiments in Space and on Ground / 7.5：
Space Weather Influences / 7.6：
Material Dependence / 7.7：
Geometric Effects / 7.8：
Simulation Tools / 7.9：
Mitigation / 7.10：
References / 7.11：
Index
Supporting Materials
Preface
Acronyms and Abbreviations
Nomenclature
27.
図書
edited by Mohammed Zourob, Akhlesh Lakhtakia
目次情報:
続きを見る
Planar-Waveguide Sensors / Part I：
Total-Internal-Reflection Platforms for Chemical and Biological: Sensing Applications / Kim E. Sapsford
High-Refractive-Index Waveguide Platforms for Chemical: and Biosensing / Katrin Schmitt ; Christian Hoffmann
Planar-Waveguide Interferometers for Chemical Sensing / Daniel P. Campbell
Broadband Spectroelectrochemical Interrogation of Molecular Thin Films by Single-Mode Electro-Active Integrated Optical Waveguides / Sergio B. Mendes ; S. Scott Saavedra ; Neal R. Armstrong
Plasmonic-Waveguide Sensors / Part II：
Surface Plasmon Resonance: New Biointerface Designs and High-Throughput Affinity Screening / Matthew J. Linman ; Quan Jason Cheng
Nanohole Arrays in Metal Films as Integrated Chemical Sensors and Biosensors / Alexandre G. Brolo ; Reuven Gordon ; David Sinton
Nanostructure-Based Localized Surface Plasmon Resonance Biosensors / Donghyun Kim
Gold Nanoparticles on Waveguides For and Toward Sensing Application / Silvia Mittler
Index
Waveguide Sensors with Periodic Structures
Nano-structured Silicon Optical Sensors / Benjamin L. Miller
Resonant Waveguide Grating Biosensor for Microarrays / Ye Fang
Resonant Biochemical Sensors Based on Photonic Bandgap Waveguides and Fibers / Maksim Skorobogatiy
Nanophotonic and Subwavelength Structures for Sensing and Biosensing / I. Abdulhalim
Optical-Fiber Sensors
Fiber-Optic Chemical and Biosensors / Mahmoud El-Sherif
Applications of Fiber Gratings in Chemical and Biochemical Sensing / Tinko Eftimov
Hollow-Optical Fiber Probes for Biomedical Spectroscopy / Yuji Matsuura
Hollow-Waveguide and Micro-Resonator Sensors / Part III：
Liquid-Core Waveguide Sensors / Holger Schmidt
Capillary Waveguide Biosensor Platform / Harbans S. Dhadwal
Label-Free Optical Ring Resonator Bio/Chemical Sensors / Hongying Zhu ; Jonathan D. Suter ; Xudong Fan
Terahertz Biosensing / Part IV：
Terahertz-Biosensing Technology: Progress, Limitations, and Future Outlook / Abdellah Menikh
Planar-Waveguide Sensors / Part I：
Total-Internal-Reflection Platforms for Chemical and Biological: Sensing Applications / Kim E. Sapsford
High-Refractive-Index Waveguide Platforms for Chemical: and Biosensing / Katrin Schmitt ; Christian Hoffmann
28.
図書
Gongtian Shen, Zhanwen Wu, Junjiao Zhang, editors
29.
図書
Mohamed Belhaq, editor
30.
図書
edited by Philippe Quevauviller ... [et al.]
目次情報:
続きを見る
General Introduction / 1：
Are we able to adapt water resource management practices in a fast moving world? / B.HarrisChapter 1：
Scene Setting / 2：
River basin management in a changing climate / J.Wright ; B.Horvath ; R.WilbyChapter 2.1：
Integrating science-based recommendations on water and climate change in river basin management planning - Goal, opportunity or inaccessible dream? / Ph.QuevauvillerChapter 2.2：
CLIMATEWATER so far: Impacts of climate change on water and adaptation strategies identified - An ecohydrological Rbmp is needed / G.Jolánkai ; B.Pataki ; Zs.Joldákai ; I. BiróChapter 2.3：
Water threats at river basin scale / l.LiskaChapter 2.4：
Implementing the Water Framework Directive: lessons for the second planning cycle / S.Junier ; I.Borowski ; G.Bouleau ; E.Interviews ; E.MostertChapter 2.5：
Integrating Ecosystem and Environmental Knowledge / 3：
Towards sustainable management of groundwater and dependent ecoystems underthe impact of climate change and land-use / B. Klove ; J. Kvoerner ; H. Kupfersberger ; M. Pulido-VelazquezChapter 3.1：
An overview of the inclusion of sediment-an essential, integral and dynamic part of any river system - in European River Basin Management Plans / A.Netzband ; representing SedNetChapter 3.2：
Water bodies in Europe - Integrative systems to assess ecological status and recovery / D.HeringChapter 3.3：
Role of soils in integrated river basin management under climate change / W.BlumChapter 3.4：
Integrating Climate Change Hazards / 4：
Possible outcomes for water resources and water use in the context of the EU "ACQWA" Project / M.BenistonChapter 4.1：
Improving risk management for flash floods and debris flow events / D.Sempere-Torres ; D.Velasco ; M.Berenguer ; A.Bateman ; U.Germann ; J.Thielen ; K.Beven ; M.Zappa ; R.Uijlenhoet ; I.Escaler ; M.Papa ; G.Pegram ; E.Vilaclara ; R.Sanchez-Diezma ; C.Wittwer ; E,Velasco ; M.Gaechter ; M.Bertoli ; M.Demarchi ; G.Lombardi ; A.Santiago ; I.ZawadzkiChapter 4.2：
Evaluation of the global water cycle's response to current and future drivers of climate change / T.A. Warnaars ; R. HardingChapter 4.3：
Securing Water Resources Against Deliberate or Natural Disorders / 5：
Climate change impacts on water and security; orientations of the research foreseen over 2010-2013 / R. Roson ; R. Ludwig ; G. Kallis ; C. ZografosChapter5.1：
Impact assessment of environmental key pollutants on aquatic ecosystems / W.BrackChapter 5.2：
Stakeholder Views and Science-Policy Interfacing / 6：
Laboratory networking needs: the experience of the NORMAN network on emerging contaminants / V.DulioChapter 6.1：
The European Water Framework Directive beyond 2010: let actions speak louder than words / J. Brils ; Ph. Quevauviller ; A. Slob ; M. Blind ; T. Davy ; M.Carere ; N. Amorsi ; W. Brack ; U. Borchers ; C. Thompson ; D. VillessotChapter 6.2：
Subject Index
General Introduction / 1：
Are we able to adapt water resource management practices in a fast moving world? / B.HarrisChapter 1：
Scene Setting / 2：
31.
雑誌
出版情報:
Chicago, Ill. : Milton S. Kiver, -2010
巻次年月次:
-v. 33, no. 4 (Apr. 2010)
子書誌情報:
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32.
雑誌
J.R.J. Paré Establishment for Chemistry
出版情報:
Ottawa, Ont. : J.R.J. Paré Establishment for Chemistry, -2012 v. ; 23 cm
巻次年月次:
-v. 27, no. 5-6 (2012)
子書誌情報:
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所蔵情報:
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33.
図書
George A. Anastassiou
目次情報:
続きを見る
Introduction / 1：
Basics / 1.1：
Background / 1.2：
Chapters description / 1.3：
About H-Fuzzy Differentiation / 2：
Basic Results / 2.1：
Main Results / 2.4：
On Fuzzy Taylor Formulae / 3：
Addendum / 3.1：
Fuzzy Ostrowski Inequalities / 4：
Results / 4.1：
A Fuzzy Trigonometric Approximation Theorem of Weierstrass-Type / 5：
Preliminaries / 5.1：
Main Result / 5.3：
General Remarks / 5.4：
On Best Approximation and Jackson-Type Estimates by Generalized Fuzzy Polynomials / 6：
Best approximation, trigonometric case / 6.1：
Best approximation, algebraic case / 6.3：
Application to fuzzy interpolation / 6.4：
Basic Fuzzy Korovkin Theory / 7：
Fuzzy Trigonometric Korovkin Theory / 7.1：
Fuzzy Global Smoothness Preservation / 8.1：
Fuzzy Korovkin Theory and Inequalities / 9.1：
Related Results / 10.1：
Higher Order Fuzzy Korovkin Theory Using Inequalities / 10.3：
Univariate Results / 11.1：
Multidimensional Results / 11.3：
Lp -estimates, p ≥ 1 / 11.4：
Applications / 11.5：
Fuzzy Wavelet Like Operators / 12：
Estimates To Distances between Fuzzy Wavelet like Operators / 12.1：
Fuzzy Approximation by Fuzzy Convolution Operators / 13.1：
Main results / 14.1：
Degree Of Approximation of Fuzzy Neural Network Operators, Univariate Case / 15：
Basic Properties / 15.1：
Higher Degree of Fuzzy Approximation by Fuzzy Wavelet Type and Neural Network Operators / 15.3：
Fuzzy Random Korovkin Theorems and In-Equalities / 16.1：
Auxilliary Material / 17.1：
Application / 17.3：
Fuzzy-Random Neural Network Approximation Operators, Univariate Case / 18：
Basic properties / 18.1：
X-Summability and Fuzzy Korovkin Approximation / 18.3：
A Fuzzy Korovkin Type Theorem / 19.1：
Rate of Convergence / 19.3：
A-Summability and Fuzzy Trigonometric Korovkin Approximation / 20：
Uniform Real and Fuzzy Estimates for Distances between Wavelet Type Operators at Real and Fuzzy Environment / 20.1：
Estimates for Distances of Real Wavelet type Operators / 21.1：
Estimates for Distances of Fuzzy Wavelet type Operators / 21.2：
References
List of Symbols
Index
Introduction / 1：
Basics / 1.1：
Background / 1.2：
34.
図書
Nicolae Herisanu, Vasile Marinca, editors
35.
図書
Raims Örlü ... [et al.], editors
36.
図書
Ivan A. Parinov, Shun-Hsyung Chang, Muaffaq A. Jani, editors
37.
図書
Mohamed Belhaq, editor
38.
図書
Mikhail Korzhik, Alexander Gektin, editors
39.
図書
Ahmet Yavuz Oral, Zehra Banu Bahsi Oral, editors
40.
図書
Vinod Kumar Jain, Sunita Rattan, Abhishek Verma, editors
41.
図書
Gongtian Shen, Junjiao Zhang, Zhanwen Wu, editors
42.
図書
Paul Zarchan
43.
雑誌
American Chemical Society
出版情報:
Washington, D.C. : American Chemical Society, -c2010 v. ; 28 cm
巻次年月次:
-v. 12, no. 6 (Nov./Dec. 2010)
子書誌情報:
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44.
図書
Paulo Ribeiro, Maria Raposo, editors
45.
図書
Renata Kallosh, Emanuele Orazi, editors
46.
図書
Giuseppe Ciullo ... [et al.], editors
47.
図書
Joachim Peinke ... [et al.], editors
48.
図書
Piero Nicolini ... [et al.], editors
49.
図書
Mustapha Tlidi, Marcel G. Clerc, editors
50.
図書
Ivan A. Parinov, Shun-Hsyung Chang, Vitaly Yu. Topolov, editors
図書
雑誌
