Recent Advances in Intelligent Engineering Systems

✍ Scribed by János Fodor, Ryszard Klempous, Carmen Paz Suárez Araujo

• Publisher: Springer
• Year: 2011
• Tongue: English
• Leaves: 460
• Series: Studies in Computational Intelligence
• Edition: 2012
• Category: Library

✦ Synopsis

This volume is a collection of 19 chapters on intelligent engineering systems written by respectable experts of the fields. The book consists of three parts.

The first part is devoted to the foundational aspects of computational intelligence. It consists of 8 chapters that include studies in genetic algorithms, fuzzy logic connectives, enhanced intelligence in product models, nature-inspired optimization technologies, particle swarm optimization, evolution algorithms, model complexity of neural networks, and fitness landscape analysis.

The second part contains contributions to intelligent computation in networks, presented in 5 chapters. The covered subjects include the application of self-organizing maps for early detection of denial of service attacks, combating security threats via immunity and adaptability in cognitive radio networks, novel modifications in WSN network design for improved SNR and reliability, a conceptual framework for the design of audio based cognitive infocommunication channels, and a case study on the advantages of fuzzy and anytime signal- and image processing techniques.

Computational intelligence represents a widely spread interdisciplinary research area with many applications in various disciplines including engineering, medicine, technology, environment, among others. Therefore, third part of this book consists of 6 chapters on applications. This is a very important part of the volume because the reader can find in it a wide range of fields where computational intelligence plays a significant role.

✦ Table of Contents

Cover......Page 1
Studies in Computational Intelligence......Page 3
Recent Advances in Intelligent Engineering Systems......Page 4
©......Page 5
Foreword......Page 6
Preface......Page 8
Contents......Page 14
Part I: Foundation of Computational Intelligence......Page 22
Introduction......Page 24
Schema Theorem and Building Block Hypothesis......Page 26
Stagnation and Premature Convergence......Page 27
Offspring Selection (OS)......Page 29
The Relevant Alleles Preserving Genetic Algorithm (RAPGA)......Page 31
Consequences Arising Out of Offspring Selection and RAPGA......Page 34
Building Block Analysis for Standard Genetic Algorithms......Page 36
Building Block Analysis for GAs Using Offspring Selection......Page 40
Building Block Analysis for the Relevant Alleles Preserving GA (RAPGA)......Page 44
References......Page 49
Introduction and Some Elementary Considerations......Page 52
DeMorgan Law and General Form of Negation......Page 55
Multiplicative Pliant Systems......Page 60
Introduction......Page 61
The Neutral Value......Page 64
On Additive and Multiplicative Representations of Strict Conjunctive and Disjunctive Operators......Page 67
The Weighted Aggregative Operator......Page 70
Infinitely Many Negation When the Self-De Morgan Identity Holds......Page 71
Strict t-Norms, t-Conorms and Aggregative Operators......Page 72
Pliant Operators......Page 74
Summary......Page 75
References......Page 77
Introduction......Page 80
Preliminaries......Page 82
Knowledge in Product Model......Page 84
Definition of Product Objects......Page 88
Representation of New Content Definition......Page 90
Implementation......Page 96
References......Page 98
Introduction......Page 100
Troubles of Optimization......Page 101
Space Landscape......Page 104
Exact Methods......Page 107
Approximate Methods......Page 108
Modern Approaches......Page 111
Conclusion......Page 123
References......Page 124
Scheduling Problem......Page 126
Manufacturing System Description and Scheduling Problem Classification......Page 130
Manufacturing System as Discrete Event System......Page 136
Scheduling Algorithm and Algorithm Flow......Page 137
The SimEvents Toolbox and Model Description......Page 146
Conclusion......Page 149
References......Page 150
Introduction......Page 152
Multiobjective Optimization Problem......Page 153
Differential Evolution and Its Multiobjective Variant......Page 154
Differential Evolution......Page 155
Differential Evolution for Multiobjective Optimization......Page 157
Differential Evolution for Multiobjective Optimization with Self Adaptation......Page 158
Strategy Adaptation......Page 159
Test Problems and Parameter Settings......Page 160
Efficiency metrics......Page 161
Convergence Rate......Page 163
Dynamics of Parameters in the Learning Process......Page 165
Conclusion......Page 169
References......Page 170
Introduction......Page 172
Approximation from a Dictionary......Page 173
Norms Induced by Dictionaries......Page 174
Tractability for Balls in Variational Norms......Page 175
Tractability for Sets of Smooth Functions......Page 177
References......Page 180
Introduction......Page 182
Definition......Page 183
Purpose......Page 184
Local Optima and Plateaus: Modality......Page 185
Basins of Attraction......Page 186
Barriers......Page 188
Landscape Walks......Page 189
Ruggedness......Page 190
Spectral Landscape Analysis......Page 192
Information Analysis......Page 193
Fitness Distance Correlation......Page 195
Evolvability......Page 197
Neutrality......Page 200
Epistasis......Page 201
Additive Random Fields......Page 202
Combinatorial Problems......Page 205
References......Page 207
Part II: Intelligent Computation in Networks......Page 214
Introduction......Page 216
Fingerprints of DoS Attacks......Page 219
SOM-Based System for DoS Attacks Detection (CISDAD)......Page 220
Pre-processing Module......Page 221
Processing Module......Page 225
Application Fields......Page 226
CISDAD Computational Analysis......Page 228
Study A......Page 229
Study B......Page 230
Results and Discussion......Page 233
Conclusion......Page 237
References......Page 238
Introduction......Page 242
Applications of Cognitive Radio......Page 243
Challenges to Cognitive Radio......Page 244
Security Threats in Cognitive Radio Systems......Page 245
Classes of Attacks......Page 247
Counter-Measures against Attacks......Page 249
Mathematical Model......Page 250
Immunity and Adaptability Functions......Page 252
Practical Implementation in Matlab......Page 254
Implementation of Relational Model for Crossbow's XMesh Platform......Page 259
Conclusion......Page 260
References......Page 263
Introduction......Page 264
Sensor Networks with a Coordinator......Page 265
Fully Scattered Networks without Coordinator......Page 266
Neighbor-Searching Routine in WSN......Page 267
ZigBee System......Page 269
Interference Origin in WSN......Page 270
Antenna Beamwidth Control......Page 271
Results of Simulations......Page 272
Reliability in Mesh Network Design......Page 275
References......Page 279
Introduction......Page 282
Interaction-Based Model for Synthesis Algorithm Design......Page 284
Basic Definitions......Page 285
Perceptual Icons, Body Icons and Interactive Icons......Page 286
Methodology for the Design of Synthesis Algorithms......Page 288
Interaction-Based Model for Parameter Generating Function Design......Page 289
Mathematical Background......Page 290
Tuning Model for Discretized Multivariate Functions......Page 291
Synthesis Algorithm Design......Page 293
Psychophysical Aspects......Page 296
Experimental Results......Page 297
Test Results......Page 298
Conclusion......Page 300
References......Page 301
Introduction......Page 304
Block-Recursive Averaging......Page 306
Anytime Fourier Transformation......Page 309
Fuzzy Based Information Processing Techniques......Page 310
Fuzzy Based Noise Elimination......Page 311
Fuzzy Based Edge Detection......Page 312
Fuzzy Based Corner Detection......Page 315
Combining Anytime and Fuzzy Techniques......Page 317
Conclusion......Page 320
References......Page 321
Part III: Application of Computational Intelligence......Page 324
14 Differential Diagnosis of Dementia Using HUMANN-S Based Ensembles......Page 326
Introduction......Page 327
Data Sets......Page 329
Supervised HUMANN......Page 331
Neural Network Ensembles......Page 334
HUMANN-S Ensembles......Page 336
Results and Discussion......Page 338
Conclusion......Page 342
References......Page 343
Introduction......Page 346
Image Resizing......Page 350
Texture Analysis Methods......Page 351
Gradient Methods and Edge Detection......Page 352
Wavelet Transform Use for Image Classification......Page 353
Results......Page 356
Conclusion......Page 357
References......Page 358
Introduction......Page 362
Shape Coding......Page 365
HMM Classification Approach......Page 368
Data Transformation......Page 370
SVM Classification Approach......Page 371
HMM Experiments and Results......Page 373
SVM Experiments and Results......Page 376
Discussion......Page 379
References......Page 380
Introduction......Page 382
Wavelet Decomposition and Reconstruction......Page 385
Signal De-noising......Page 388
Principal Component Analysis......Page 390
Independent Component Analysis......Page 392
Signal Segmentation......Page 393
Classification......Page 394
Distributed Computing......Page 397
References......Page 399
Introduction......Page 404
Tele-Care Projects......Page 406
The TELEASIS System......Page 409
TELEASIS Platform Architecture......Page 410
Hardware Platform and Infrastructure......Page 412
Software Platform......Page 414
The Dispatcher Component......Page 416
The Web Service......Page 420
Future Development: A Better Accessibility to Information......Page 423
Conclusions......Page 426
References......Page 427
Introduction......Page 430
False Accept/Reject, True Accept/Reject......Page 433
Proposed Method......Page 435
Logical Framework: Consistent Biometry......Page 436
Internal logic, Knowledge and Self-awareness Representation for Intelligent Systems......Page 438
Selecting and Aligning the Enrollment Templates......Page 439
Learning Evolutionary Digital Biometric Identities......Page 440
Artificial Neural Network Support for Consistent Enrollment......Page 442
The Importance of Being Aware......Page 443
The Prototype of Intelligent Iris Verifiers......Page 444
Evolutionary Network - The Key Factor in Achieving Superior Levels of Intelligence......Page 445
New Safety Standards for Logically Consistent Biometric Purposes......Page 448
New Challenges - New Results......Page 449
Logical Consistency vs. Safety......Page 451
Comparison to a Result Previously Obtained by Daugman......Page 452
Another Question......Page 453
References......Page 454
Author Index......Page 456