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Umfang: 1 online resource (250 pages) : , illustrations, tables.

Ausgabe: 1st ed.

ISBN: 1-000-79185-8 , 1-00-333703-1 , 1-003-33703-1 , 1-000-79495-4 , 87-93609-33-7

Serie: River Publishers Series in Management Sciences and Engineering

Inhalt: This research book can be used as a reference for students in a final year undergraduate engineering course, such as mechanical, mechatronics, industrial, computer science, information technology, etc. Furthermore, the book can serve as a valuable reference for academics, engineers and researchers in these and related subject areas.

Anmerkung: Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgements -- List of Contributors -- List of Figures -- List of Tables -- List of Abbreviations -- 1: Analysis of Consensus-Building Time in Social Groups Based on the Results of Statistical Modeling -- 1.1 Introduction and Purpose of the Study -- 1.2 Description of the Model for Consensus Based on Regular Markov Chains -- 1.3 Specific Cases in the Model of Attaining Consensus in the Work of TC -- 1.3.1 Domination -- 1.3.2 Presence of Several Leaders -- 1.3.3 Global Domination -- 1.3.4 Responsibility Shift -- 1.3.5 Coalitions -- 1.4 Analysis of the General Case in the Consensus Model -- 1.5 Management of the TCs by the National Standardization Body -- 1.6 The Quality of Consensus -- 1.7 Consensus-Building Model Description Based on Cellular Automata Methodology -- 1.8 Study of Consensus-Building Model Based on Cellular Automata Methodology -- 1.9 Conclusions and Results Interpretation -- References -- 2: Classification and Modeling of Intersystem Accidents in Critical Infrastructure Systems -- 2.1 Introduction -- 2.2 Examples of Intersystem Failures -- 2.3 Classification of Intersystem Failures -- 2.4 Simulation of Intersystem Failures -- 2.4.1 Gas Transmission Network Model -- 2.4.2 Electric Network Model -- 2.4.3 Interaction Model -- 2.5 Results of Calculations -- 2.6 Perturbance Propagation Functions -- 2.7 Conclusion -- References -- 3: Stochastic Approaches to Analysis and Modeling of Multi-Sources and Big Data in Tasks of Homeland Security: Socio-Economic and Socio-Ecological Crisis Control Tools -- 3.1 Introduction -- 3.1.1 Case Study: The Conflict -- 3.2 Methodological Notes: Approach to Data Analysis -- 3.2.1 Big Data Classification Approach -- 3.2.2 Multisource Data Regularization and Optimization Approach. , 3.3 Population Dynamics Assessment in the Crisis Area Using Multisource Data -- 3.3.1 Population Assessment in Rural Areas -- 3.3.2 Population Assessment in Urban Areas -- 3.3.3 Satellite Observations and Data Integration Approach -- 3.4 Assessment of the Economic Dynamics in the Crisis Area Using Multisource Data -- 3.4.1 Analysis of Land-Use Structure Change: Markov's Chains Modeling of Satellite Data -- 3.4.2 Satellite Data for Analysis of Land-Use Efficiency and Crop Structure Dynamics -- 3.4.3 Data Integration Algorithm and Satellite Based Approach to Economic Activity Variations -- 3.5 Assessment of Number and Dynamics of Illegal Armed Groups Using Big Data -- 3.6 Assessment of Combatant and Non-Combatant Losses Using Multisource Data -- 3.7 On the Model of Population Dynamics under the Conflict -- 3.8 Concluding Remarks -- References -- 4: Modeling and Performance Evaluation of Computational DoS Attack on an Access Point in Wireless LANs -- 4.1 Introduction -- 4.2 Review of Key Hiding Communication (KHC) Scheme -- 4.3 Network Model -- 4.3.1 Simulation Topology -- 4.3.2 Simulation Parameters -- 4.3.3 Performance Evaluation Metrics -- 4.4 Results and Discussion -- 4.5 Conclusion -- References -- 5: Development of Computation Algorithm and Ranking Methods for Decision-Making under Uncertainty -- 5.1 Trough-Ranking Method for a Regulate Lists Objects of Different Types by Partial Expert Comparisons -- 5.1.1 Literature Review -- 5.1.2 Algorithm Description -- 5.1.3 Case Study -- 5.2 The Analytic Hierarchy Process Modification for Decision Making under Uncertainty -- 5.2.1 Introduction -- 5.2.2 Literature Review -- 5.2.3 Problem Statement -- 5.2.4 Methodology Description -- 5.2.5 Case Study -- 5.3 Conclusion -- References -- 6: Understanding Time Delay Based Modeling and Diffusion of Technological Products -- 6.1 Introduction. , 6.2 Research Methodology -- 6.2.1 Notations -- 6.3 Research Results and Findings -- 6.4 Discussion -- 6.5 Conclusion -- References -- 7: Role of Soft Computing in Science and Engineering -- 7.1 Introduction -- 7.1.1 Why Soft Computing Approach -- 7.2 Soft Computing Techniques -- 7.2.1 Machine Learning -- 7.2.1.1 Notation of Dataset -- 7.2.1.2 Training Data and Test Data -- 7.2.1.3 Relationships with Other Disciplines -- 7.2.1.4 Basic Concepts and Ideals of Machine Learning -- 7.2.1.5 The Categorization of Machine Learning Algorithms -- 7.2.2 Fuzzy Logic -- 7.2.3 Evolutionary Algorithms -- 7.2.3.1 Implementation -- 7.2.3.2 Types -- 7.2.4 Genetic Algorithms -- 7.2.4.1 Initialization -- 7.2.4.2 Selection -- 7.2.4.3 Genetic Operators -- 7.2.4.4 Termination -- 7.2.5 Bayesian Network -- 7.2.6 Neural Network -- 7.2.7 Particle Swarm Optimization -- 7.3 Applications -- 7.4 Conclusion -- References -- 8: Complex System Reliability Analysis and Optimization -- 8.1 Introduction -- 8.1.1 Reliability Measuring Parameters -- 8.1.2 Stochastic Processes -- 8.1.3 Copula Method -- 8.1.4 Reliability Optimization -- 8.2 Review of Literature -- 8.3 Material and Methods -- 8.3.1 Supplementary Variable Technique -- 8.3.2 Birth-Death Processes -- 8.3.3 Multi-objective Particle Swarm Optimization -- 8.3.4 Mathematical Model and Reliability Block Diagram -- 8.3.4.1 Complex Bridge System -- 8.4 Results and Discussion -- 8.5 Conclusion and Summary -- References -- 9: Tree Growth Models in Forest Ecosystem Modeling - A Tool for Development of Tree Ring Width Chronology and Climate Reconstruction -- 9.1 Introduction -- 9.1.1 Notion of Ecosystem Modeling -- 9.1.1.1 Growth and Yield Models -- 9.1.1.2 Succession Models -- 9.1.1.3 Biogeochemical-Mechanistic Models -- 9.1.1.4 Hybrid Models -- 9.2 Tree Growth Models -- 9.2.1 General Linear Aggregate Model. , 9.2.2 Growth Curve for Detrending Tree Growth Time Series -- 9.3 Deterministic Curves -- 9.3.1 Negative Exponential Curve -- 9.3.2 Linear Regression Curve -- 9.3.3 Hugershoff Growth Curve -- 9.4 Stochastic Curves -- 9.4.1 The Smoothing Spline Curve -- 9.4.2 Friedman's Super Smoother -- 9.5 Empirical Curves -- 9.5.1 Regional Curve Standardization Method -- 9.6 Application of Tree Ring Growth Models - An Example from A Case Study -- 9.7 Conclusion -- References -- Index -- About the Editors.

Weitere Ausg.: ISBN 87-93609-34-5

Sprache: Englisch