Intelligent Control and Computer Engineering

✍ Scribed by International Association of Engineers.; Ao, Sio-Iong; Castillo, Oscar; Huang, He

• Publisher: Springer Netherlands
• Year: 2011
• Tongue: English
• Leaves: 311
• Series: Lecture Notes in Electrical Engineering 70
• Edition: 1st ed. 2011
• Category: Library

✦ Synopsis

A large international conference on Advances in Intelligent Control and Computer Engineering was held in Hong Kong, March 17-19, 2010, under the auspices of the International MultiConference of Engineers and Computer Scientists (IMECS 2010). The IMECS is organized by the International Association of Engineers (IAENG). Intelligent Control and Computer Engineering contains 25 revised and extended research articles written by prominent researchers participating in the conference. Topics covered include artificial intelligence, control engineering, decision supporting systems, automated planning, automation systems, systems identification, modelling and simulation, communication systems, signal processing, and industrial applications. Intelligent Control and Computer Engineering offers the state of the art of tremendous advances in intelligent control and computer engineering and also serves as an excellent reference text for researchers and graduate students, working on intelligent control and computer engineering.;Artificial intelligence -- Control engineering -- Decision supporting systems -- Automated planning -- Automation systems -- Systems identification -- Modelling and simulation -- Communication systems -- Signal processing -- Industrial applications.

✦ Table of Contents

Active Contours......Page 4
Preface......Page 5
Cover......Page 1
Dataset......Page 2
Contents......Page 6
Simulation Datasets......Page 7
Real Subject Datasets......Page 8
Quantum Computation......Page 10
Steps Two and Three of the 3S-M......Page 12
Transformation via Linear Matrix Inequality......Page 14
Duet......Page 3
Introduction......Page 9
Fairness......Page 11
Neural Estimation with Linear Matrix Inequality-Based Transformation for Closed Reduced-Order Quantum Computation Systems......Page 16
Recurrent Supervised Neural Computations......Page 13
Singular Perturbation for Model Order Reduction......Page 15
Model Order Reduction of the Quantum Computation Systems Using Neural Estimation and Linear Matrix Inequality Transformation......Page 18
The Design of State Feedback Controller for the Reduced-Order Closed Quantum Models......Page 20
References......Page 22
Introduction......Page 23
Model of Space Robot......Page 24
Dynamics of Space Robot......Page 25
Optimal Tracking Control......Page 26
Relative Motion by Orbital Motion......Page 27
Simulation Results......Page 28
Conclusions......Page 31
State Space Equation of Joint Variables for Space Robot......Page 32
Introduction......Page 33
Fuzzy Logic Controller......Page 34
Genetic Algorithms......Page 35
Materials and Methods......Page 36
Fitness Function......Page 37
Genetic Parameters......Page 38
Termination Condition......Page 39
Discussion......Page 43
References......Page 44
Introduction......Page 46
Converter Model......Page 47
The Conventional Hinfty Loop Shaping Control......Page 48
Fixed-Structure Robust Loop Shaping Control......Page 49
Simulation Results......Page 50
Conclusions......Page 51
References......Page 52
Introduction......Page 53
First Availability Analysis......Page 54
First Availability Improvement......Page 56
Second Availability Analysis......Page 57
Second Availability Improvement......Page 59
Conclusions......Page 62
Introduction......Page 64
Higher Order Spectrum (HOS)......Page 65
Current Spectrum......Page 68
Current Bispectrum......Page 70
Conclusions......Page 72
Introduction......Page 74
Related Works......Page 75
Basic Algorithms......Page 76
The PSO......Page 77
Internal Indicator......Page 78
Computer Experiments......Page 79
Results of the MPSO*alpha/DC......Page 80
Singular vs. Multiple Swarm Search......Page 82
Effect of the LRS......Page 83
Comparison with Other Methods......Page 84
Conclusions......Page 85
Introduction......Page 88
Genetic Programming......Page 90
Multigene Symbolic Regression......Page 91
GPTIPS Features......Page 92
Using GPTIPS for Symbolic Regression......Page 93
Evolution of a Predictive Model of Aqueous Chemical Toxicity Using GPTIPS......Page 94
Data......Page 95
Results......Page 96
References......Page 97
Introduction......Page 99
Related Work......Page 100
Simulated Binary Crossover (SBX)......Page 101
Diversity Running Performance Metric......Page 102
The Crowding Distance......Page 105
Empirical Results......Page 107
Single-Objective Functions......Page 108
Conclusion......Page 109
References......Page 110
Introduction......Page 111
Problem Description......Page 112
Rearrangement Process......Page 114
Learning Algorithm......Page 115
Data Structure of Look-up Table for Q-value......Page 117
Specification of a Q-value......Page 118
Constitution of Look-up Table......Page 119
Computer Simulations......Page 121
Conclusions......Page 122
Coevolving Negotiation Strategies for P-S-Optimizing Agents......Page 123
Introduction......Page 124
Utility Functions......Page 125
Negotiation Protocol......Page 126
Encoding Scheme......Page 127
EAs for Coevolution......Page 128
Problem of P-S-Optimizing Negotiation......Page 129
Proposed Fitness Function......Page 130
Results Obtained Using Original Fitness Function......Page 132
Conclusions and Future Work......Page 138
Introduction......Page 140
Cooperative Play in RoboCup Soccer Simulation......Page 141
Policy Gradient Method......Page 142
Autonomous Action Decision and Learning......Page 143
Reward......Page 144
Learning Experiments......Page 145
Evaluation Experiments......Page 147
Heuristics from U1 to U5......Page 148
Non-Markov Decision Processes......Page 149
References......Page 150
Introduction......Page 152
Outlines the Group Buying with Bundles of Items......Page 153
The Basic Concept of GA......Page 155
Problem Formalization......Page 156
Fitness Measurement......Page 157
Breeding a New Population of BuyerChromosomes......Page 158
Experimental Results and Discussions......Page 160
Conclusions and Future Work......Page 162
References......Page 163
Introduction......Page 165
Agent Based System Architecture......Page 167
Current Limitation......Page 168
Research Focus......Page 169
Registry Service......Page 170
Agents Based Resource Planning......Page 171
Factors in VCIM Resource Scheduling......Page 174
Factors for Process 1, Customer Agent Find and Select the Best Suitable Facilitator Agent for a Particular Order......Page 175
References......Page 176
Introduction......Page 178
Structure of Ontology......Page 179
SCRO_II Algorithm......Page 181
SCRO_I Algorithm......Page 183
Data Set......Page 184
Performance Measurement......Page 185
Experimental Results......Page 186
Conclusions......Page 190
Genetic Algorithm Based Model for Effective Document Retrieval......Page 191
Vector Space Model......Page 192
Term Frequency......Page 193
Evaluation......Page 194
Combined Similarity Measure Using Genetic Algorithm......Page 195
Proposed Model......Page 196
Experiments and Results......Page 199
Conclusion......Page 200
References......Page 201
An Agent-Based Cloud Service Discovery System that Consults a Cloud Ontology......Page 202
Introduction......Page 203
A Cloud Service Reasoning Agent......Page 205
Similarity Reasoning......Page 206
Equivalent Reasoning......Page 208
Numerical Reasoning......Page 209
Proof-of-Concept Examples......Page 212
Conclusion and Future Work......Page 213
References......Page 215
Introduction......Page 216
Navigation in the Pentagrid and in the Heptagrid......Page 218
Results on Cellular Automata in Hyperbolic Spaces......Page 221
The Colour Chooser......Page 222
Latin Keyboard......Page 223
Japanese Keyboard......Page 224
Communications Between Tiles......Page 225
Internet, Processors and File Storage......Page 226
Conclusion......Page 227
Introduction......Page 229
Externally Extensible Outerplanar Graph Patterns......Page 231
A Matching Algorithm for EEO-Graph Patterns......Page 233
Frequent Pattern Mining on Chemical Datasets......Page 239
References......Page 241
Introduction......Page 242
Settle et al.'s Activity Vectors......Page 244
Chandra et al.'s Circular Sequence Based Prob Method......Page 246
Generating Setvectors......Page 247
Predicting Cache Contention with Setvectors......Page 248
Conclusion......Page 253
Introduction......Page 255
Modification of Generalized Maxwell Model......Page 256
Elastic Moduli......Page 257
Rate Form of Constitutive Equation......Page 258
Deviatoric Component......Page 259
Volumetric Component......Page 260
Discrete Equilibrium Equation......Page 261
Central Difference Method......Page 262
Comparison with Experiment......Page 263
Conclusions and Future Works......Page 264
References......Page 265
Introduction......Page 266
Proposed Interleaved DBA Mechanism......Page 269
Interleaved DBA Prediction Mechanism......Page 271
Excessive Bandwidth Reallocation Mechanism......Page 272
End-to-End Packet Delay......Page 273
System Throughput......Page 275
Fairness......Page 276
Conclusions......Page 277
Introduction......Page 279
The Complexity of n-Player Shove......Page 281
References......Page 285
Introduction......Page 287
The Main Components of the Vestibular-Sympathetic Reflex......Page 288
Assessing the Uncertainties and Limitations in Neurophysiologic Experimental Data......Page 290
A Modeling Methodology for the Vestibular Nucleus......Page 294
Step One of the 3S-M......Page 296
Steps Two and Three of the 3S-M......Page 298
Conclusions......Page 299
Introduction......Page 301
Dataset......Page 302
Duet......Page 303
Active Contours......Page 304
Simulation Datasets......Page 307
Real Subject Datasets......Page 308
Future Work......Page 309
Conclusion......Page 310