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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
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