Advances of Computational Intelligence in Industrial Systems

by Liu, Ying; Sun, Aixin; Loh, Han Tong; Lu, Wen Feng; Lim, Ee-Peng

• ISBN13: 9783540782964
• ISBN10: 3540782966
• Edition: 1st
• Format: Hardcover
• Copyright: 2008-10-30
• Publisher: Springer-Verlag New York Inc

Summary

Computational Intelligence (CI) has emerged as a rapid growing field over the past decade. Its various techniques have been recognized as powerful tools for intelligent information processing, decision making and knowledge management. "Advances of Computational Intelligence in Industrial Systems" reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Section I ' Theory and Foundation presents some of the latest developments in CI, e.g. particle swarm optimization, Web services, data mining with privacy protection, kernel methods for text analysis, etc. Section II ' Industrial Application covers the CI applications in a wide variety of domains, e.g. clinical decision support, process monitoring for industrial CNC machine, novelty detection for jet engines, ant algorithm for berth allocation, etc. Such a collection of chapters has presented the state-of-the-art of CI applications in industry and will be an essential resource for professionals and researchers who wish to learn and spot the opportunities in applying CI techniques to their particular problems.

Table of Contents

Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives	p. 1
Introduction	p. 1
Classical PSO	p. 2
Selection of Parameters for PSO	p. 6
The Inertia Weight ¿	p. 7
The Maximum Velocity Vmax	p. 7
The Constriction Factor ¿	p. 8
The Swarm Size	p. 8
The Acceleration Coefficients C1 and C2	p. 9
The Neighborhood Topologies in PSO	p. 9
The Binary PSO	p. 10
Hybridization of PSO with Other Evolutionary Techniques	p. 11
The Differential Evolution (DE)	p. 12
Classical DE - How Does it Work?	p. 12
The Complete DE Family of Storn and Price	p. 17
More Recent Variants of DE	p. 20
A Synergism of PSO and DE - Towards a New Hybrid Evolutionary Algorithm	p. 23
The PSO-DV Algorithm	p. 24
PSO-DV Versus Other State-of-the-Art Optimizers	p. 26
Applications	p. 29
Conclusions	p. 34
References	p. 34
Web Services, Policies, and Context: Concepts and Solutions	p. 39
Introduction	p. 39
The Proposed Composition Approach	p. 40
Presentation	p. 40
Description of the Three Levels	p. 41
Description of the Three Contexts	p. 43
Description of the Two Policies	p. 45
Role of Policies	p. 45
Behavioral Web Services	p. 45
Specification of Policies	p. 46
Exception Handling	p. 50
Rationale	p. 50
Exception Types per Policy Type	p. 51
Related Work	p. 52
Conclusion	p. 54
References	p. 54
Data Mining with Privacy Preserving in Industrial Systems	p. 57
Introduction	p. 57
Background and Motivation	p. 57
Our Solution	p. 59
Organization of the Chapter	p. 60
Literature Review	p. 60
Our Solution: Bloom Filter-Based Approach	p. 61
Bloom Filters	p. 62
Mining Processes and Algorithms	p. 64
Experiments	p. 66
Experimental Settings	p. 66
Experimental Results	p. 67
Conclusions	p. 70
References	p. 77
Kernels for Text Analysis	p. 81
Introduction	p. 81
Kernel Methods	p. 82
General Properties of Kernels	p. 82
Bag of Words Kernel	p. 83
String Kernels	p. 84
Gappy String Kernels	p. 85
Convolution Kernels	p. 86
Graph Kernels	p. 87
Application	p. 89
Bag of Features	p. 89
Graph Representation	p. 91
Evaluation Using Bag of Features	p. 93
Evaluation Using Graph Feature Representation	p. 94
Summary of the Experiments	p. 95
References	p. 96
Discovering Time-Constrained Patterns from Long Sequences	p. 99
Introduction	p. 99
Related Work	p. 102
Disjoint Occurrences	p. 103
Counting Algorithm	p. 105
Correctness of Algorithm	p. 109
Calculating and Estimating O-Frequency	p. 111
Conclusion	p. 115
References	p. 115
Gauging Image and Video Quality in Industrial Applications	p. 117
Overview of Practical Quality Metrics	p. 118
Basic Requirements	p. 118
Metric Classification	p. 119
Just-Noticeable Difference (JND)	p. 120
JND with Sine-Wave Gratings	p. 120
Formulation of CSF in DCT Domain	p. 121
JND for Real-World Video	p. 122
Visual Attention	p. 124
Feature Extraction	p. 125
Integration	p. 125
Modulation for JND	p. 126
Signal Decomposition	p. 126
Spatiotemporal Filtering	p. 126
Contrast Gain Control	p. 127
Common Artifact Detection	p. 128
Blockiness	p. 128
Blurring	p. 129
Frame Freeze	p. 129
Case Studies	p. 130
JNDmetrix™ as Quality Measurement	p. 130
Quality Monitoring Systems	p. 132
Modulated JNDs in Visual Communication	p. 133
Concluding Remarks	p. 133
References	p. 135
Model Construction for Knowledge-Intensive Engineering Tasks	p. 139
Introduction	p. 140
Top-Down Model Construction	p. 141
Top-Down Model Construction Support: A Classification Scheme	p. 142
Horizontal Model Construction	p. 146
Model Simplification	p. 148
Model Compilation	p. 149
Model Reformulation	p. 152
Discussion and Related Work	p. 153
Case Studies	p. 154
Case Study 1: Plant Design in Chemical Engineering	p. 155
Case Study 2: Generating Control Knowledge for Configuration Tasks	p. 158
Case Study 3: Synthesis of Wave Digital Structures	p. 161
Summary	p. 164
References	p. 164
Artificial Intelligence Applied to the Modeling and Implementation of a Virtual Medical Office	p. 169
Medical Diagnosis and Knowledge Transfer	p. 169
Case-Based Reasoning	p. 170
The History of CBR	p. 170
The CBR Cycle	p. 172
Genetic Algorithm	p. 173
Overview	p. 173
History	p. 173
Biological Terminology in a Simple GA	p. 174
The Latest Developments	p. 177
Context and Methodology	p. 178
The IACVIRTUAL Project	p. 178
The CBR Model	p. 178
The GA Model	p. 181
Case Study	p. 183
Database Preparation	p. 183
The Implementation of CBR Recovery	p. 184
The Implementation of the GA Module	p. 184
New Version of the CBR Module	p. 186
Results	p. 187
Conclusions	p. 188
References	p. 188
DICOM-Based Multidisciplinary Platform for Clinical Decision Support: Needs and Direction	p. 191
Introduction	p. 191
Multidisciplinary Health Studies	p. 193
DICOM Standard	p. 194
Initiatives	p. 195
DICOM Document	p. 195
Multidisciplinary DICOM Multimedia Archive	p. 196
Object-Oriented Approach	p. 198
Properties of DICOM Objects and Services	p. 199
Design of MDMA	p. 203
Biomedical Data Processing	p. 204
Biomedical Feature Extraction	p. 205
Biomedical Feature Selection	p. 206
Biomedical Knowledge Discovery	p. 207
Multidisciplinary Analytical Model	p. 208
Synergistic Clinical Decision Support Platform	p. 209
Conclusion and New Direction	p. 211
References	p. 211
Improving Neural Network Promoter Prediction by Exploiting the Lengths of Coding and Non-Coding Sequences	p. 213
Introduction	p. 213
Currently Used Algorithms	p. 214
Further Improvements in Promoter Prediction	p. 214
Gene Expression	p. 216
Statistical Characteristics on Quantitative Measurements	p. 217
The Algorithms for TLS-NNPP and TSC-TSS-NNPP	p. 220
Scenario 1-TLS-NNPP Algorithm	p. 222
Scenario 2-TSC-TSS-NNPP Algorithm	p. 224
Applications of the Algorithms TLS-NNPP and TSC-TSS-NNPP and the Comparisons to NNPP2.2	p. 224
E. coli Sequence Study Using the TLS-NNPP Algorithm	p. 225
Human Sequence Study Using the TSS-TSC-NNPP Algorithm	p. 226
Conclusion	p. 228
References	p. 228
Artificial Immune Systems for Self-Nonself Discrimination: Application to Anomaly Detection	p. 231
Introduction	p. 231
Real Valued Negative Selection	p. 233
Recent Approaches	p. 233
Results with Koch Curve	p. 239
An Application to Anomaly Detection in Distribution Systems	p. 243
Conclusion and Further Research	p. 247
References	p. 248
Computational Intelligence Applied to the Automatic Monitoring of Dressing Operations in an Industrial CNC Machine	p. 249
Introduction	p. 249
Acoustic Emission in Grinding and Dressing	p. 250
Acoustic Maps	p. 251
Extracting Textural Features from Acoustic Maps	p. 254
The Gray-Level Co-Occurrence (GLC) Matrix	p. 254
Haralick's Textural Descriptors	p. 255
Pattern Classification	p. 256
Multi-Layer Perceptron (MLP) Networks	p. 257
Radial-Basis Function (RBF) Networks	p. 257
Support Vector Machine (SVM)	p. 258
Decision Trees (DT)	p. 258
Intelligent Monitoring of Dressing Operations	p. 259
Experiments and Results	p. 260
Experimental Setup	p. 261
Simulation Results	p. 262
Conclusions	p. 266
References	p. 267
Automated Novelty Detection in Industrial Systems	p. 269
Introduction	p. 269
Novelty Detection	p. 269
Chapter Overview	p. 270
Novelty Detection for Industrial Systems	p. 270
Existing Methods	p. 270
Pre-Processing	p. 272
Visualisation	p. 273
Constructing a Model of Normality	p. 276
Novelty Scores and Thresholds	p. 278
Gas-Turbine Data Analysis	p. 281
System Description	p. 282
Off-Line Novelty Detection	p. 283
On-Line Novelty Detection	p. 285
Discussion	p. 288
Combustion Data Analysis	p. 288
System Description	p. 289
Pre-Processing and Feature Extraction	p. 289
On-Line Novelty Detection	p. 290
Discussion	p. 292
Conclusion	p. 292
References	p. 293
Multiway Principal Component Analysis (MPCA) for Upstream/Downstream Classification of Voltage Sags Gathered in Distribution Substations	p. 297
Introduction	p. 297
Multiway Principal Component Analysis	p. 300
Proposed Method for Sag Source Location	p. 303
Database Construction	p. 305
Model Creation	p. 306
Model Exploitation	p. 306
Classification Results with Sags Gathered in Distribution Substations	p. 307
Conclusion	p. 310
References	p. 311
Applications of Neural Networks to Dynamical System Identification and Adaptive Control	p. 313
Introduction	p. 313
Rotorcraft Acoustic Noise Estimation	p. 317
The Time History Data Modeling	p. 318
The Sound Pressure Level Modeling	p. 321
A Neural Network Controller for DC Voltage Regulator	p. 323
References	p. 329
A Multi-Objective Multi-Colony Ant Algorithm for Solving the Berth Allocation Problem	p. 333
Introduction	p. 333
Problem Formulation	p. 335
Ant Colony Optimization	p. 337
Solution Encoding	p. 337
Pareto Ranking	p. 337
Solution Construction	p. 338
Multi-Objective Multi-Colony Ant Algorithm	p. 340
Island Model	p. 341
Heterogeneous Colonies	p. 341
Simulation Results and Analysis	p. 342
Performances of Different MOMCAA Settings	p. 342
Effects of Different Migration Intervals	p. 347
Conclusions	p. 348
References	p. 349
Query Rewriting for Semantic Multimedia Data Retrieval	p. 351
Introduction	p. 351
Preliminaries and Motivating Example	p. 352
MPEG-7: Multimedia Content Description Interface	p. 352
Illustration Example	p. 353
Querying MPEG-7 Descriptions	p. 354
MPEG-7 and XQuery Limitations	p. 355
Multimedia Data Description	p. 356
Multi-Layered Representation of Multimedia Content	p. 356
Conceptual Layer: Domain Knowledge Representation	p. 357
How to Integrate Domain Knowledge in MPEG-7 Descriptions	p. 360
How to Link the Conceptual Layer to the Metadata Layer	p. 361
Querying MPEG-7 Descriptions of Multimedia Data	p. 363
Query Form and Syntax	p. 363
Query Pre-Processing Algorithm	p. 363
Illustration Example	p. 365
Query Translation	p. 365
Implementation	p. 366
Multimedia Data Annotation	p. 366
Querying Multimedia Content	p. 367
Related Work	p. 367
Adding Semantics to MPEG-7 Descriptions	p. 367
Query Languages to Retrieve the MPEG-7 Descriptions	p. 369
Query Rewriting	p. 370
Conclusion	p. 370
References	p. 371
Index	p. 373
Table of Contents provided by Publisher. All Rights Reserved.