Advanced Intelligent Computing Theories and Applications - 6th International Conference on Intelligent Computing, Changsha, China, August 18-21, 2010. Proceedings

von: De-Shuang Huang, Martin McGinnity, Laurent Heutte, Xiao-Ping Zhang

Springer-Verlag, 2010

ISBN: 9783642148316 , 593 Seiten

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Advanced Intelligent Computing Theories and Applications - 6th International Conference on Intelligent Computing, Changsha, China, August 18-21, 2010. Proceedings


 

Preface

5

Organization

7

Table of Contents

11

Neural Networks

19

Complex Functional Network Hebbian-Type Learning Algorithm and Convergence

19

Introduction

19

Complex Value Functional Networks

20

Complex Value Functional Network Learning Algorithm

22

Conclusions

25

References

25

A New Intelligent Control Strategy of High-Voltage Power Supply for ECRH Based on CMAC Neural Network

26

Introduction

26

State Space Model of ECRH System

27

Inverse Model Learning Control for ECRH on CMAC

29

Simulation

31

Conclusions

32

References

32

Self-configuration Using Artificial Neural Networks

34

Introduction

34

Related Work

35

ANN Based Self-configuration Approach

36

Case Study: Autonomic Fire Forest Application

37

Conclusion and Future Work

38

References

38

Evolutionary Learning and Genetic Algorithms

40

An Improvement of AdaBoost for Face Detection with Random Forests

40

Introduction

40

Basic Concepts of Algorithm

41

AdaBoost Algorithm

41

Random Forests Algorithm

42

AdaBoost Method for Face Detection Based on Random Forests

43

Experimental Results and Analysis

44

Conclusions

46

References

47

Hybrid Good Point Set Evolutionary Strategy for Constrained Optimization

48

Introduction

48

Our Mechanisms and Algorithms

49

PSO Operator

49

Good Point Set (GPS):[3][4]

50

GPS Operator

51

Mutation Operator

54

Select Next Generation

54

Empirical Study

54

Conclusion

56

References

57

Research of Modified Quantum Genetic Algorithm and It’s Application in Collision Detection

58

Introduction

58

Proposed Algorithm

59

Related Definitions

59

Algorithm Description

61

Simulation Experiment

63

Conclusion

64

References

64

Granular Computing and Rough Sets

66

A New Method of Attribute Reduction and Prediction in Fuzzy Decision System

66

Introduction

66

Construction of Fuzzy Rough Approximation Operators

66

Example

69

References

70

Particle Swarm Optimization and Niche Technology

71

Development of Automatic Code Generation Tool for Condensation Algorithm

71

Introduction

71

CONDENSATION Algorithm

72

CONDENSATION Algorithm

72

Application of CONDENSATION for the Multiple Target Tracking

73

Program Structures

75

Generation of Gaussian Distribution

77

Generation of Filter Code Bloks

77

Experiment Result

77

Conclusions

78

References

78

Swarm Intelligence and Optimization

79

A New Hybrid Multi-objective Pareto Archive PSO Algorithm for a Classic Job Shop Scheduling Problem with Ready Times

79

Introduction

79

Proposed Model

80

Index

80

Parameters

81

Variables

81

Proposed Mathematical Model

81

Proposed Pareto Archive PSO

82

Solution Representation

82

Initialization

82

Update the Pareto Archive

83

Improvement by VNS

83

Update the Position of Particles

83

Experimental Results

84

Algorithm Assumptions

84

Comparative Results

85

Conclusion

86

References

86

Multi-objective Particle Swarm Optimization for Sequencing and Scheduling a Cellular Manufacturing System

87

Introduction

87

Mathematical Model

88

Indices

88

Parameters

88

Decision Variables

88

Minimizing Makespan and Intra-cellular Movement

89

Minimizing Tardiness Cost

90

Pareto Frontier Concepts

90

Particle Swarm Optimization for Multi-objective Problems

90

Comparison Metrics

91

Conclusion

92

References

93

A Hybrid PSO Algorithm with Transposon for Multiobjective Optimization

94

Introduction

94

Particle Swarm Optimization

95

Multiojective Optimization and the Concept of Domiance

95

A Hybrid PSO with Transposon

96

Transposon Operation

96

The Details of a Hybrid PSO with Transposon

96

Experiment Results and Discussion

98

Test Functions and Performance Metrics

98

Parameters Selection

98

Results and Discussion

99

Conclusion

101

References

102

Independent Component Analysis and Blind Source Separation

103

Joint Multichannel Blind Speech Separation and Dereverberation: A Real-Time Algorithmic Implementation

103

Introduction

103

Problem Formulation

104

The Multichannel Blind Speech Separation and Dereverberation Algorithm

105

MIMO Blind System Identification

105

Speech Separation Stage

105

Speech Dereverberation Stage

105

Real-Time Algorithm Implementation

107

Computer Simulations

108

Conclusions

110

References

111

An Efficient Pairwise Kurtosis Optimization Algorithm for Independent Component Analysis

112

Introduction

112

Pairwise Optimization of the Kurtosis-Sum

113

Pairwise Kurtosis Optimization Algorithm

115

Computation Complexity and Simulation

117

Conclusions

119

References

119

Combinatorial and Numerical Optimization

120

The Mechanical Behavior of the Double Piece of Tape Spring

120

Introduction

120

Model of the Hinge and Simulation Techniques

121

FEA Analysis and Results

124

Experiment for Measuring Bend Moment of the Hinge

126

Deployable Experiment of the Tape Spring

126

Fold Experiment of the Tape Spring

126

Conclusion

127

References

127

Systems Biology and Computational Biology

129

Cancer Immunoprevention: What Can We Learn from in Silico Models?

129

Introduction

129

The Model

131

Tuning and Validation

133

The Problem of Schedule

134

Conclusions

135

References

135

Oscillatory Dynamics of Double Negative Feedback Loop Motif by MicroRNAs

137

Introduction

137

Mathematical Model of The Double Negative Feedback Loop Involving Small RNAs

137

Oscilatory Dynamics Induced by Time Delay and Hill Coeffiecient $n$

138

Discussion

141

References

141

Neural Computing and Optimization

142

Neural Network Approach for Greenery Warranty Systems

142

Introduction

142

Background

143

Greenery Warranty Claims Architecture

143

Two-Attribute Warranty Policy

143

Warranty Function Approximation

144

Case Study Example

145

Conclusions

147

References

147

Knowledge Discovery and Data Mining

148

Comprehensive Evaluation of Effects of Naomaitong and Rhubarb Aglycone Combined with Bone Mesenchymal Stem Cells Transplantation on Brain in Rats with Cerebral Ischemia Based on Analytic Hierarchy Process

148

Introduction

148

Application Steps

149

Establishing Hierarchy Model

149

Constructing of Comparison Matrix in Pair (Means Judging Matrix)

149

Calculating Vector and Testing the Consistency

150

Calculating the Combined Weight Vectors and Conducting Consistency Test

150

Calculation and Results

150

To Construct the Model of Hierarchical Structure

151

To Construct the Paired Comparison Matrix (Judging Matrix)

152

To Calculate the Combined Weight Vectors and Testing Consistency

152

To Calculate the Results

153

Discussion

154

References

155

Aggregating and Weighting Expert Knowledge in Group Decision Making

156

Introduction

156

Related Work

157

Weighting Expert Opinions Scheme for Decision Making Procedure

158

Sort the Alternatives and Assign a Score

158

Calculate the Euclidean Distance

158

Aggregate the Expert Opinions

158

A Case Study

159

Conclusion and Future Work

163

References

164

A New Heuristic Feature Selection Algorithm Based on Rough Sets

165

Introduction

165

Preliminaries

166

The New Algorithm

167

Experiment

169

Conclusions

170

References

171

Developing a Procedure to Obtain Knowledge of Optimum Solutions in a Travelling Salesman Problem

172

Introduction

172

Proposed Algorithm

173

Business Understanding

173

Data Understanding

173

Data Preparation

174

Modeling

174

Evaluation

175

Conclusion and Future Research

176

References

177

Trajectory Simplification and Classification for Moving Object with Road-Constraint

178

Introduction

178

Problem Formulations and Motivation

179

Exclude Useless Trajectories Based on Temporal Filterer

180

Simplified Single Trajectory

181

The TRI Algorithm: An Easier and More Practical Method

181

Experiment

183

Computational Complexity

183

Experimental Results

184

Conclusions and Future Work

185

References

186

Training a Pac-Man Player with Minimum Domain Knowledge and Basic Rationality

187

Introduction

187

Game Modeling

190

Experiments

192

Discussion

193

Conclusion

194

References

194

Hybrid Self-Organizing Map and Neural Network Clustering Analysis for Technology Professionals Turnover Rate Forecasting

196

Introduction

196

Procedure for Paper Submission

197

Turnover Trend

197

Data Mining and Clustering Analysis Method

198

Methodology

198

Data Preprocessing

199

Sample Dealing and Cluster Analysis

199

SOM Clustering Process

199

Neural Network Clustering Method

200

Analysis Results

200

SOM Clustering Result

200

SOM+BPN Clustering Result

202

Conclusions

202

References

203

Ensemble Methods

204

A Study of Strength and Correlation in Random Forests

204

Introduction

204

The Forest-RI Algorithm

205

Strength and Correlation

205

Tree Selection

206

Datasets Used

207

Experimental Protocol

207

Results and Discussion

208

Conclusion

209

References

209

Machine Learning Theory and Methods

210

A Comparison Study of Conditional Random Fields Toolkits

210

Introduction

210

Conditional Random Fields

211

Training Methods

211

Introduction of Each Toolkit

212

crf++

212

crfsgd

212

flexcrf

212

crfsuite

213

mallet

213

Experiment and Discussion

213

Experiment Content

213

Experiment Settings

213

Experiment Results

214

Conclusion

215

References

216

Robot Reinforcement Learning Based on Learning Classifier System

218

Introduction

218

Background Materials

219

Reinforcement Learning (RL)

219

Learning Classifier System (LCS)

219

Reinforcement Learning Design

221

Encoding of Operating Message and Rules

221

Fitness Function Design

221

Experiments and Simulation

222

Conclusions

224

References

224

Intelligent Computing in Bioinformatics

226

Research of Marker Gene Selection for Tumor Classfication Based on Decision Forests

226

Background

226

Methods and Principles

227

Decision Forests

227

ReliefF, SAM and PCA

227

Results and Analysis

228

Data Sets

228

Data Pre-processing

228

Results and Analysis

228

Conclusion

230

References

230

Reverse Engineered Gene Networks Reveal Markers Predicting the Outcome of Breast Cancer

232

Introduction

232

Materials and Methods

233

Datasets

233

Mode of Action by Network Identification (MNI)

233

Results

234

Classification Performance

234

Survival Analysis

235

Discussion

235

Conclusions

237

References

238

New Tools for Expression Alternative Splicing Validation

240

Introduction

240

Methods

241

Identification of Alternatively Spliced Transcripts

242

Method of Validation and Expression of Splicing Events Predicted

242

Extraction of Skipping Event

243

Mapping Reads on Exon Junctions of Put Ative Skipping Events

244

Validate Putative Skipping Events

245

Results

246

Conclusions

247

References

248

Intelligent Computing in Computational Biology and Drug Design

250

Application for Artificial Bee Colony Algorithm in Migration of Mobile Agent

250

Introduction

250

Related Tasks

251

Algorithm Implement

251

ABC Theory

251

Application in TAP

252

Algorithm Description

253

Experiment and Validation

254

Conclusion

255

References

256

Computational Genomics and Proteomics

257

A Novel Tool for Assisted In-silico Cloning and Sequence Editing in Molecular Biology

257

Introduction

257

Biosoft Features

258

Software Review

258

Software Design

259

Use Case

261

Conclusions

262

References

263

Intelligent Computing in Signal Processing

264

A New Method Using Table to Sparse Representation in Pairs of Bases with Matching Pursuits

264

Introduction and Background

264

New Method of MP Algorithm

266

Experiments and Conclusion

267

References

267

Intelligent Computing in Pattern Recognition

268

Palmprint Recognition Method Using WTA-ICA Based on 2DPCA

268

Introduction

268

The 2DPCA Algorithm

269

The WTA-ICA Algorithm

270

The Object Function Based on $l^{\infty}$

270

Updating the Weights

270

Performing 2DPCA Based WTA-ICA

272

Experimental Results

272

Conclusions

274

References

274

Study of TCM Diagnosis of Syndromes of Acute Exacerbation of Chronic Obstructive Pulmonary Disease Based on Dynamic Fuzzy Kohonen Network

276

Introduction

276

Materials and Methods

277

Research Subjects

277

Case Selection

277

Data Management

278

Results

278

General Information

278

Test on the Model’s Rationality Based on Fisher-Iris Data

278

Establishing Diagnostic Model of Common Syndromes of AECOPD

280

Testing Result

281

Discussion

281

Modeling Design

281

Setting of Model Conversion Rules [6-9]

281

Selection of the Main and Secondary Symptoms

282

Model Testing

282

References

282

Classification and Characteristics of TCM Syndromes of Chronic Respiratory Failure Based on Self-adaptive Fuzzy Inference System

284

Introduction

284

Subjects and Methods

285

Survey Subjects

285

Case Selection

285

Survey Content

285

Survey Methods

285

Data Management and Statistical Analysis Methods

286

Results

286

General Information

286

Establishing Diagnostic Model of Common Syndromes of CRF

286

Test Results

288

Discussion

288

References

290

Implementation of the Pattern Matching System to Detect Flip Chip PCB Defects

291

Introduction

291

MAD Pattern Matching

292

PCB Pattern Matching IP System Design

293

Experiments and Results

294

Experimental Environments

294

Camera Link IP Simulation

295

Parallel Processing MAD Pattern Matching IP Simulation

295

Experimental Results

296

Pattern Matching IP Synthesis Result

296

Conclusion

297

References

298

JPEG Steganalysis Using Estimated Image and Markov Model

299

Introduction

299

Feature Extraction for Steganalysis

300

The Estimated Image

300

Markov Model

302

SVM

303

Experimental Results

304

Conclusion

305

References

305

Applications of Two-Dimensional Heteroscedastic Discriminant Analysis in Face Recognition

306

Introduction

306

Presented Approach

307

2DLDA Approach

307

2DHDA Approach

308

Likelihood Interpretation of 2DHDA

309

Nearest Neighbor Classifier

310

Experiments

310

References

313

Intelligent Computing in Image Processing

314

Multimodal Image Fusion Algorithm Using Dual-Tree Complex Wavelet Transform and Particle Swarm Optimization

314

Introduction

314

Overview of the DTCWT Based Image Fusion Scheme

315

Framework of Image Fusion Scheme Based on DTCWT

315

Fusion Rules

316

Proposed Fusion Method with DTCWT and PSO

316

Image Segmentation

317

Proposed Fusion Rule with PSO

317

Experimental Results

318

Conclusions

320

References

321

An Adaptive Method for Lane Marking Detection Based on HSI Color Model

322

Introduction

322

Advantage of HSI Color Model in Lane Detection

323

Lane Marking Detection Algorithms

324

Preprocessing Step

324

Lane-Marking Detection

325

Experiments and Results

326

Comparing Proposed Algorithm with Other Methods Using RGB Color Model

326

Comparing Proposed Algorithm with the Same Scheme Using Classical HSI Color Model

327

Other Results

327

Conclusions

328

References

329

An Image Data Hiding Method Using Pixel-Based JND Model

330

Introduction

330

The Proposed Data Hiding Algorithm

331

The Hiding Algorithm

331

The Extracting Algorithm

334

Simulation Results

334

Discussions

336

Conclusions

336

References

337

Intelligent Computing Applications Based on Eye Gaze: Their Role in Medical Image Interpretation

338

Introduction

338

Medical Image Interpretation and Visual Attention

339

Visual Search Behaviour

339

An Intelligent Gaze-Based Computing Approach

340

New Proposal

341

Experimental Investigation

342

Conclusions

342

References

342

Intelligent Computing in Communication and Computer Networks

344

A Sequential Test Based Cooperative Spectrum Sensing Scheme Using Fuzzy Logic for Cognitive Radio Networks

344

Introduction

344

Spectrum Sensing and Energy Detection

345

Spectrum Sensing

345

Energy Detection

345

Proposed Cooperative Spectrum Sensing Scheme

346

Local Estimation of the LU’s Signal Presence Possibility

346

Sequential Test Based Data Fusion at the FC

348

Simulation Results

348

Conclusions

351

References

351

Solving Base Station Subsystem Assignment Problem in Mobile Communication Networks Using Hybridized Heuristic Algorithm

352

Introduction

352

Integer Program Formulation

354

Algorithm Description

355

Reassignment

356

Neighborhood Redistribution Move

357

Acceptance Probability

357

Local Search

358

Results

358

Conclusion

359

References

359

A Sequential Cooperative Spectrum Sensing Scheme Based on Dempster Shafer Theory of Evidence

361

Introduction

361

System Description

362

Local Spectrum Sensing

362

Energy Detection

363

The Dempster-Shafer Theory of Evidence

363

The Proposed Sequential CSS Scheme Based on Evidence Theory

364

Basic Probability Assignment Estimation

364

Sequential Reporting and Data Fusion

366

Simulation Results

366

Conclusions

368

References

368

High Resolution Direction Finding of Multiple Coherent Signals

369

Introduction

369

Spatial Spectral Estimation[3]

370

Then Method of Circular Transposition

371

The Simulation Results

372

Conclusion

374

References

374

Extract and Maintain the Most Helpful Wavelet Coefficients for Continuous K-Nearest Neighbor Queries in Stream Processing

376

Introduction

376

K-Skyline: Wavelet Coefficients for CKNN Query over Distributed Streams

377

Wavelet Decomposition on K-Skyline Wavelet Transformation

377

W-Skyline Algorithm

379

Performance Evaluation

379

Discussion and Results

379

Conclusion

381

References

381

A Neural Network-Based Cooperative Spectrum Sensing Scheme for Cognitive Radio Systems

382

Introduction

382

Local Decision

383

Cooperative Spectrum Sensing Scheme with NN

384

Initialization and MLP Decision

385

Updating the Set of Training Samples and MLP Learning

385

Simulation and Results

386

Conclusions

388

References

388

Intelligent Computing in Robotics

390

Comparison of the Observability Indices for Robot Calibration considering Joint Stiffness Parameters

390

Introduction

390

Joint Stiffness Included Calibration Model and Observability Index

391

Joint Stiffness Included Calibration Model

391

Observability Indices

392

Evaluation of the Observability Indices

393

A 2-Link Planar Robot

393

Genetic Algorithm in Matlab Software

394

2-Link Planar Robot Calibration Simulation

395

Result Analysis

395

Conclusions

396

References

397

Appendix

398

Intelligent Computing in Computer Vision

399

Human Computer Interaction Using Hand Gestures

399

Introduction

399

Hand Segmentation

401

Feature Extraction

402

Gesture Classification-The Results

402

Conclusions and Future Work

403

References

403

Smart Wheelchair Navigation Based on User’s Gaze on Destination

405

Introduction

405

Wheelchair System

407

Human Head Orientation Tracking

408

Goal Area Tracking

408

Obstacle Avoidance

409

Experimental Results

410

Conclusion and Future Work

412

References

412

Entrance Detection of Building Component Based on Multiple Cues

413

Introduction

413

Surface and Wall Region Detection in Building

415

Window Detection

416

Noise Rejection and Line Segment

417

Noise Rejection

417

Line Segment

418

Assumption of Entrance Model

418

Model of Candidate Line

418

Model Parameters

419

Likelihood Computation

420

Evaluation of Likelihood for Line

420

Evaluation of Likelihood for Color

421

Experimental Results

421

Conclusion

423

References

423

Intelligent Prediction and Time Series Analysis

425

Developing an Evolutionary Neural Network Model for Stock Index Forecasting

425

Introduction

425

Methodology

427

Variables Selection by Stepwise Regression Analysis

427

Artificial Neural Networks (ANNs)

427

Genetic Algorithm

428

The Proposed Evolutionary Neural Networks

429

Empirical Results

430

Constructing BPNN and ENN Model for TEPIX Forecasting

430

Performance Analysis of ENN Model

432

Conclusions

432

References

433

A Tower-Shadow Model for Wind Turbines Using a Wavelet-Prony Method

434

Introduction

434

Discrete Wavelet Transform and Prony Method

435

Wind Farm Oscillations

437

Wind Farm Dynamic Model

439

Conclusion

441

References

442

Special Session on New Hand-Based Biometric Methods

443

Contrast Enhancement and Metrics for Biometric Vein Pattern Recognition

443

Introduction

443

Image Enhancement

444

Contrast Metrics

446

PIFS Contrast Enhancement Metric

446

Weighted-Level Framework Contrast

446

Michelson Contrast

447

Local Michelson Contrast

447

RMS Contrast

447

Experiments

448

Contrast Enhancement Results

449

Conclusions

451

Future Work

452

References

452

Feature Extraction Method for Contactless Palmprint Biometrics

453

Introduction and Motivation

453

Region of Interest Extraction

454

Three-Value Base Functions

455

Methods for Generating Mask Functions

457

Random Masks

457

Manually Selected Features

457

Eigen-Palms Extraction

458

Results

459

Conclusions

459

References

460

Special Session on Theories and Applications in Advanced Intelligent Computing

461

Numerical Analysis for Stochastic Investment System with Poisson Jumps

461

Introduction

461

Preliminaries and Approximation

462

The Main Results

464

One Example

470

References

470

Quantum Collapsing Median Filter

472

Introduction

472

Quantum State

473

Structural Elements of Quantum Superposition State

474

Definition and Formation of Quantum Measurement Operator

474

Experimental Results

476

Conclusions

478

References

479

An Impulse C Application in the LDPC Decoding Algorithm

480

Introduction

480

Impulse C Programming Model

481

The Design of LDPC Decoder

482

Impulse C Programming

482

Optimization and Hardware Generation

482

Desktop Simulation

483

Results

484

Conclusion

485

References

485

Research on Algorithm of Parallel Garbage Collection Based on LISP 2 for Multi-core System

487

Introduction

487

Parallel Copying GC Algorithm Based on LISP 2

488

Classical LISP 2 Algorithm

488

Parallel Copying GC Compactor Base on LISP2

489

Analysis and Measurements

493

Summary

494

References

494

Study on Anode Effect Prediction of Aluminium Reduction Applying Wavelet Packet Transform

495

Introduction

495

A Cell Resistance Signal Pre-processing

496

Wavelet Packet Analysis for the Cell Resistance Signal

497

Wavelet Packet Analysis

497

Research on the Cell Resistance by Wavelet Packet

498

Eigen Vector Extraction from the Resistance Signal

500

Conclusion

501

References

501

Rotating Machinery Fault Diagnosis Based on EMD-Approximate Entropy and LS-SVM

503

Introduction

503

Basic Principle

504

EMD-Approximate Entropy Method Principle

504

LS-SVM Recognition Algorithm

505

Fault Diagnosis Based on EMD Approximate Entropy and LS-SVM

506

The Feature Extraction of Fault Signal

506

LS-SVM Recognition Network

508

Simulation Verification

508

Training Sample

508

Test Results

509

Conclusion

509

References

510

Study of Applications Based on Measurement Technology in the Future Smart Grid

511

Introduction

511

Intellectualized Measurement Technology

511

The Application of Measurement Technology in the Future Smart Grid

512

Smart Meters

513

Communication Network

514

Measured Data Management System (MDMS)

514

The Future Direction of the Research in Measurement Technology of Smart Grid

514

Conclusion

515

References

515

Palm Line Extraction Using FRIT

517

Introduction

517

Basic Principle

518

Continuous-Time Ridgelet Transform

518

Finite Ridgelet Transformation and the Converse

520

Application of Finite Ridgelet Transform in Palm-Line Feature Extraction

521

Experimental Results and Analysis

521

Conclusion

523

References

523

Fast ICA for Multi-speaker Recognition System

525

Introduction

525

Principle of Independent Component Analysis Algorithm

526

Design of Multi-speaker Recognition Model

527

Mixed Speech Separation Based on Fast ICA Algorithm

527

Feature Extraction

528

Recognition Model of RBF Neural Network

528

Simulation Experiment

529

Conclusion

530

References

531

Variable Universe Adaptive Fuzzy-PI Compound Control Applied in Maximum Power Point Tracking for Photovoltaic Energy Generation System

532

Introduction

532

The Characteristics of PV Modules and MPPT Control

533

PV Generation Systems Constitutes

533

The Design of Variable Universee Fuzzy-PI Compound Controller

534

Proposed Control Strategy

534

Design of the Variable Universee Adaptive Fuzzy Controller

535

Design of Proportional-Integral Controller

536

System Simulation Results

536

Conclusions

537

References

537

Integrated and Automated Dielectric Measurement System at Millimeter Wavelengths

538

Introduction

538

Measurement Principle of Open Resonator Technique

539

Automatic Measurement System and Configuration of Hardware

541

Configuration and Function of the Software System

541

Several Key Problems Solved in Our Design

541

Measurement of Quartz Crystal Sample

543

Conclusion

543

References

544

Special Session on Search Based Software Engineering

545

Software Security Testing of Web Applications Based on SSD

545

Introduction

545

Background

546

What Is a SSD in Web Applications?

546

Why Could We Test Software Based on SSD?

547

Model of Software Security Testing Based on SSD

549

Ctritical Technology of the Test Model

549

Typical SSD Classification Module

549

SSD Detection and Classification Module

549

SSD Test Behavior Formalization Module

549

Software Security Test Cases Generation Module

550

Case Study: M$^{3}$TR Security Testing

550

Analysis of Software under Test

550

Experiments Result Analysis

550

Conclusion

551

References

552

Special Session on Bio-inspired Computing and Applications

553

A Review of Bacterial Foraging Optimization Part I: Background and Development

553

Introduction

553

Background

554

General Formulation

555

Parameters Improvement

557

Hybrids

558

Conclusions

559

References

560

A Review of Bacterial Foraging Optimization Part II: Applications and Challenges

562

Introduction

562

Applications

563

Challenges

565

Information Exchange

565

Modeling Theories

565

Biological Characteristics

566

Application Areas

566

Conclusions

566

References

567

Liquidity Risk Portfolio Optimization Using Swarm Intelligence

569

Introduction

569

The Improved Model—Liquidity Risk Portfolio Optimization

570

Description of the Swarm Intelligence

571

Illustrative Examples

572

Experimental Results

573

Conclusions

575

References

576

Special Session on Advance in Dimensionality Reduction Methods and Its Applications

577

Dimension Reduction with Semi-supervised Pairwise Covariance-Preserving Projection

577

Introduction

577

Review of Pairwise Covariance-Preserving Projection Method

578

Semi-supervised PCPM

579

The Object Function

579

The SPCPM Algorithm

580

Experiments

581

Conclusion

582

References

583

Special Session on Recent Advances in Medical Informatics

584

Analysis of Impact Factors in Acupuncture for Patients with Migraine------Doubts on Prof. Andrew J Vickers’ Conclusion

584

Introduction

584

Treating Pain by Category and Measures

585

Participants

585

Headache Degree Score

585

Treatment

585

Efficacy Assessment

586

Factor Analysis (FA)

586

Experiments and Results

587

Conclusions

589

References

589

Author Index

591