Emerging Intelligent Computing Technology and Applications

Name: Emerging Intelligent Computing Technology and Applications | 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings
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8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings

De-Shuang Huang Phalguni Gupta Xiang Zhang Prashan Premaratne(Editor)

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Published on 5. July 2012

XXV, 509 pages

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978-3-642-31837-5 (ISBN)

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Content

Title
Preface
ICIC 2012 Organization
Table of Contents
Neural Networks
Oscillation Analysis for a Recurrent Neural Network Model with Distributed Delays
Introduction
Preliminaries
Main Results
Numerical Simulations
References
Minimum Risk Neural Networks and Weight Decay Technique
Introduction
Theoretical Background
Multi-layer Perceptrons with Weight Decay (MLPWD)
Support Vector Machine (SVM) and Structural Risk Minimization
Minimum Risk Neural Network (MRNN)
Theoretical Derivation
Minimum Risk Neural Network (MRNN)
The Relation between MRNN and Weight Decay Technique
Application Examples
Conclusions
Time Series Forecasting Using Restricted Boltzmann Machine
Introduction
A Predictor Using DBN of RBMs
Structure and Learning Algorithms of Proposed Predictor
Optimization of the Model
Difference Time Series
Forecasting Result
Conclusion
References
Interactive Evolutionary Algorithms with Decision-Maker's Preferences for Solving Interval Multi-objective Optimization Problems
Introduction
Proposed Algorithm
Mathematical Model of Relative Importance of Objectives
Rank of Evolutionary Individuals Based on Preference Regions
Application in Typical MOPs with Interval Parameters
Optimization Problems and Parameter Settings
Performance Indicators
Experimental Results and Analysis
Conclusions
References
Particle Swarm Optimization and Niche Technology
Precipitation Control for Mixed Solution Based on Fuzzy Adaptive Robust Algorithm
Introduction
Problem formulation
Design of Fuzzy Logic System
Design of Fuzzy Adaptive Controller
Precipitation Control Simulation of Mixed Solution
Conclusion
References
B-Spline Neural Networks Based PID Controller for Hammerstein Systems
Introduction
Modelling of the Hammerstein System Based on B-Spline Functions
The Model Based PID Controller
An Illustrative Example
Conclusions
References
Constrained Multi-objective Particle Swarm Optimization Algorithm
Introduction
Constrained Multi-Objective Optimization Problem
Particle Swarm Optimization Algorithm
Constrained Multi-objective Particle Swarm Optimization Algorithm
Constrained Approach
Choose Pbest and Gbest
Pareto Neighborhood Crossover Operation
The Specific Steps of CMPSO Algorithm
Experimental Results
The Performance Indicators
Experimental Results and Analysis
Conclusion
References
A Particle Swarm Optimization Using Local Stochastic Search for Continuous Optimization
Introduction
The Proposed LSSPSO Algorithm
Overview of the PSO Algorithms
Local Stochastic Search PSO
Experiments and Discussion
Conclusions
References
Kernel Methods and Supporting Vector Machines
Component Random Walk
Introduction
Prerequisite
Component Random Walk Model
Deriving Multilevel Component Propagation Algorithm
Experiments
Conclusions
References
Regularized Complete Linear Discriminant Analysis for Small Sample Size Problems
Introduction
Regularized Complete Linear Discriminant Analysis
Experiments
Datasets
Classification performance
RCLDA Performance with Varying Regularization Parameter
Conclusion
References
Unsupervised Feature Selection for Multi-cluster Data via Smooth Distributed Score
Introduction
Spectral Embedding and Regression
Multi-cluster Feature Selection via Smooth Distributed Score(MCFS-SDS)
Experimental Results
Compared Algorithms and Data Sets
Clustering Results
Conclusion
References
Reinforcement Learning Based on Extreme Learning Machine
Introduction
Overview of ELM
Reinforcement Learning Based on Extreme Learning Machine
Simulation Study
Conclusions
References
A Novel Multiple Kernel Clustering Method
Introduction
Multiple Kernel Learning
Locally Adaptive Multiple Kernel Clustering (LAMKC)
Experimental Results
Conclusion
References
Biology Inspired Computing and Optimization
A Comparative Study of Two Independent Component Analysis Using Reference Signal Methods
Introduction
ICA and Extraction by the Second-Order Approach
Two ICA Using the Reference Signal Methods
Objective Function
FICAR
ICA-R
Experimental Results
Conclusions
References
A Novel Hybrid ACO/SA Approach to Solve Stochastic Dynamic Facility Layout Problem (SDFLP)
Introduction
Proposed ACO/SA Algorithm
Stage 1: Initial Solution Construction
Stage2: Initial Solution Improvement
Computational Results
Conclusion
References
ACO with Fuzzy Pheromone Laying Mechanism
Introduction
Pheromone Deposit Mechanism in ACO
Fuzzy Pheromone Laying Mechanism
Variable Ants to Lay Pheromone
Variable Weight for Each Ant Laying Pheromone
Experiment and Discussion
Conclusions
References
Locating Tandem Repeats in Weighted Biological Sequences
Introduction
Preliminaries
The All-Tandem-Repeats Problem
Conclusions
References
Analysis of Flow Field in the Cylinder of Gasoline Engine before and after Being Turbocharged
Introduction
Simulation Principle
Simulation Calculation
Geometric Model
Division of Grids
Calculating Conditions
Calculating Results
Comparison of the Fluid Flow during Intake Stroke
Comparison of the Fluid Flow during Compression Stroke
Comparison of the Fluid Flow during Power Stroke
Conclusion
References
Knowledge Discovery and Data Mining
Spectrum Sensing Algorithms in the Cognitive Radio Network
Introduction
Spectrum Sensing Models
Spectrum Sensing Algorithms
Energy Detection
Cyclostationary Feature Detection
Matched Filter Detection
Multi-resolution Spectrum Sensing Algorithms
The Spectrum Sensing Algorithm Based on Wavelet Packet Transform
Cyclic Spectrum Detection Algorithm Based on Spectrum CorrelationCoefficient
Conclusion
References
Research on Information Fusion Method Based on sFlow and Netflow in Network Security Situation
Introduction
Analysis of Data Characteristic
Analysis of Common Data Fusion Methods
D-S Evidence Theory
Bayes Method
Fuzzy Clustering
Research on Data Fusion Method Based sFlow and Netflow
B-F Algorithm
Performance Analysis of B-F Algorithm
References
Discrete Exponential Bayesian Networks Structure Learning for Density Estimation
Introduction
Discrete Exponential Bayesian Network
Notations
DeBN Definition
DeBN learning
DeBN Examples: Poisson and Negative Binomial BNs
Experimentations
Data
Models and Algorithms
Evaluation Criteria
Results and Interpretations
Conclusion and Perspectives
References
A New Adaptive Signal Segmentation Approach Based on Hiaguchi's Fractal Dimension
Introduction
Background Knowledge for Proposed Method
Discrete Wavelet Transform
Fractal Dimension
Proposed Adaptive Segmentation
Simulation Data and Results
Conclusions
References
Intelligent Computing in Bioinformatics
Predicting Binding-Peptide of HLA-I on Unknown Alleles by Integrating Sequence Information and Energies of Contact Residues
Introduction
Method
Calculate the Interacting Residues of HLA and Peptide
Affinity of Amino Acid Residues
Encoding the Peptide and HLA
ANNBM Building and Training
Experiments on unknown Alleles Dataset
Conclusion
References
As3p: A Fast Algorithm to Search Structurally Similar Proteins
Introduction
Methodology
Representation of a Protein Structure
Proposed Algorithm
Filtering Hits
Percentage Similarity
Results and Discussion
Case Study: 1
Case Study: 2
Confusion Matrix
Conclusions
References
Identifying Characteristic Genes Based on Robust Principal Component Analysis
Introduction
Robust Principal Component Analysis (RPCA)
The Algorithm of RPCA
The RPCA Model of Gene Expression Data
Experimental Results
Data Source
Selection of the Parameters
Gene Ontology (GO) Analysis
Conclusion
References
Protein Classification Using Random Walk on Graph
Introduction
Random Walk Classifier Model
Tests and Results
Predict the (Sub-)Cellular Localization Sites of Protein
Conclusions
References
Protein Molecular Function Prediction Based on the Phylogenetic Tree
Introduction
Methodology
Distance Matrix of the Sequences
Molecular Function: Terms and Data
Statistical Inference
Experiments
Conclusion
References
Efficient Mode of Action Identification by Support Vector Machine Regression
Introduction
Material and Methods
Attribute Selection and Regression
Filtering and Target Identification
Pathway Analysis
Results
Discussion
References
Intelligent Computing in Pattern Recognition
A New De-noising Method for Infrared Spectrum
Introduction
NSP Theory and Algorithm
De-noising Method Based on NSP
Simulation Experiments
Conclusions
References
A Novel Segmentation Algorithm of Fingerprint Images Based on Mean Shift
Introduction
Original Mean Shift Algorithm
Modified Mean Shift Segmentation Algorithm for Fingerprint Image Segmentation
Feature Extraction
Determine the Parameters
Foreground Selection
The Proposed Algorithm
Experimental Results
Conclusion
References
A New Hybrid Method with Biomimetic Pattern Recognition and Sparse Representation for EEG Classification
Introduction
Methods
Construction of BPR
Classification with Sparse Representation
The Algorithm of BPR-SR
Experiments and Results
Conclusion
References
Recognizing Complex Events in Real Movies by Audio Features
Introduction
Feature Representation and Classification
Audio Feature
Self-organization Feature Map and SOFM Analysis
Experiment
Conclusion
References
Finger-Knuckle-Print Recognition Using Local Orientation Feature Based on Steerable Filter
Introduction
Local Orientation Extraction Using Steerable Filter
Adaptive Steerable Orientation Coding
Experimental Results
Conclusions
References
Nose Localization Based on Subclass Discriminant Analysis
Introduction
Basic Principle of SDA
The Proposed Nose Localization Method
Experimental Results and Analysis
Conclusions
References
Intelligent Computing in Image Processing
Research on the Interactive Display System Based on Multi-touch Technology
Summarization
System Design
Hardware Structure Design
Software Module Design
The Key and Difficulties
How to Recognize the Touch Point
Splice of Multi-screen and Multi-camera
Insert the Videos and Operate Them
The Handwriting Board
Very Large-Scale Image Retrieval Based on Local Features
Introduction
New Method
Image Set Side
Target Image Side
Experiments
Laboratory Test
Online Test
Conclusion
Reference
A Continuous Skeletonization Method Based on Distance Transform
Introduction
Distance Transform
Our Computational Scheme
Experiment Results and Analysis
Conclusions
References
Key-Based Scrambling for Secure Image Communication
Introduction
Key Based Scrambling
Robustness of Our Approach
Discussion
References
Infrared Face Temperature Normalization in Fourier Domain
Introduction
Discrete Fourier Transform
Temperature Normalization in Fourier Frequency Domain
References
Faster Computation of Non-zero Invariants from Graph Based Method
Introduction
History of Work on Invariants
Analysis
Characteristics of the Graph Algorithm
Graph Based Algorithm
The Proposed Method
Graphs with All Nodes of Odd and Same Degree
Graphs with All Nodes of Even and Same Degree
Graphs with Nodes of Different Degrees
Performance Analysis and Discussion
Conclusion
References
MutualCascade Method for Pedestrian Detection
Introduction
The MutualCascade Algorithm
The Mutual Correlation
The Details of the MutualCascade Algorithm
Experiments
The Computational Cost
Comparison with the State Of Arts
Detection Performance On More Datasets
Conclusions
References
Super-Resolution Restoration of MMW Image Using Sparse Representation Based on Couple Dictionaries
Introduction
Basic Idea of Sparse Representation
Image Super-Resolution from Sparsity
Two Constraints on Super-Resolution
The Optimized Problem of Sparse Representation
The Couple Dictionary Learning
Experimental Results and Analysis
Conclusions
References
New Structural Similarity Measure for Image Comparison
Introduction
Structural Similarity Measure (SSIM)
Moment Invariant Based Structural Similarity Measure (MISM)
Experimental Results
Conclusion
References
Intelligent Computing in Computer Vision
Unmanned Aerial Vehicle-Aided Wireless Sensor Network Deployment System for Post-disaster Monitoring
Introduction
Unmanned Aerial Vehicle Aided WSN Deployment
Filtering
Smoothing
Performance Evaluations
Conclusions
References
Geometrically Bounded Singularities and Joint Limits Prevention of a Three Dimensional Planar Redundant Manipulator Using Artificial Neural Networks
Introduction
Kinematics of the Manipulator
Control of the Manipulator
Simulation Results
Conclusion
References
Float Cascade Method for Pedestrian Detection
Introduction
The FloatCascade Algorithm
Experiments and Analyses
Distribution of the Selected Features
Comparison with the State of Arts
Detection Performance on More Datasets
Detection Results Presentation
Conclusion
References
Particle Filter Based on Multiple Cues Fusion for Pedestrian Tracking
Introduction
Multiple Cues Algorithm
Color Cue
Edge Cue
Experiments
Comparison with Single Cue Methods
Comparison with other Fusion Methods
Conclusion
References
Intelligent Control and Automation
Research on Information Dissemination in Urban Rail Transit Line Network
Introduction
Push Disseminating and Pull Disseminating
Pull
Push
Experiment of Push Approach and Pull Approach
Combined Push with Pull Disseminating
Experiment of Combined Push with Pull Disseminating
Conclusion
References
Approximation to Linear Algebraic Transition System
Introduction
Preliminaries
Norm of Matrix
Linear Algebraic Transition System
Mathematics Model for LATS
Applications
Conclusion and Future Work
References
Research on Mission Planning of Space-Based Observation Based on Particle Swarm Optimization Algorithm
Introduction
Observational Constraints
Constraints of Solar Altitude
Constraints of Data Transmission
Constraints of the Operating Mode
Observation Model and Results
Compute of Observation Priority
Model of Task Planning
Arithmetic of Planning
Simulation of Arithmetic Example
Conclusion
References
Study of Electron Beam Welding Residual Stresses for Aluminum 99.60
Introduction
Experimental Processes
Experimental Materials and Welding Processing Parameters
Experimental Measurement by Keyhole Method
Numerical Simulation of Residual Stress of Electron Beam Welding
Comparison of Measurement and Calculation Results
Conclusions
References
Dam Management with Imperfect Models: Bayesian Model Averaging with and Neural Network Control
Introduction
A Dam Control Problem
A Crude Model
A Control Function
The Single Best-Fit Model versus Bayesian Model Averaging
Two Approximations to Bayesian Model Averaging
Results
A Fixed Level Is Not a Good Policy
A Neural Network Controller from the Single Best-Fit Model
A Neural Network Controller from Bayesian Model Averaging
Discussion and Conclusion
References
Knowledge Representation/Reasoning and Expert Systems
Research on Virus Detection Technology Based on Ensemble Neural Network and SVM
Introduction
Virus Detection Engine
System Framework
Generation of Member Classifiers
Member Classifier Combination Based on D-S Theory of Evidence
Experimental Results and Analysis
Conclusion
References
Enhancing Forecasting Performance of Multivariate Time Series Using New Hybrid Feature Selection
Introduction
Review on GRA and ANN
The Proposed Cooperative Feature Selection Model (CFS)
Results and Analysis of CFS Model
Conclusion
References
Porting Contiki Operating System to RIEST2430
Introduction
Hardware
Contiki OS
Porting Contiki OS
Development Environment and Toolchain
Porting the Contiki OS Port
Test and Analysis
Conclusion
References
A New Approach for Bayesian Classifier Learning Structure via K2 Algorithm
Introduction
A New Clustering-Based Heuristic: Methodology
The Variables' Clustering
Structure Learning
Experimentations Procedures
Data-Bases
Clustering
The Classical Learning Structure Compared to Our New Heuristic
Both Attained Structures' Relevant Inferences and Result Comparisons
Discussion
Conclusion
References
The Architecture of Internet Software Environment for Creating Teachware with Virtual Reality
Introduction
Basic Principles of Development of the Internet Software Environment
Architecture of the Internet Software Environment
Ontologies for Creating Teachware with Virtual Reality
Projects of Teachware
Interpreter
Conclusions
References
Special Session on Advances in Information Security 2012
An Efficient Image Database Encryption Algorithm
Introduction
Encryption
Generating Ki
Generation Ki,j
Generation KBi,j
Image I i Encryption
Encryption of Row Using
Scrambling of Rows
Cryptanalysis
Decryption
Unscrambling of Rows
Ci Decryption
Row $ Decryption Using $
Results
Conclusion
References
Iris Segmentation Using Improved Hough Transform
Introduction
Proposed Iris Segmentation
Iris Inner Boundary Localization
Iris Outer Boundary Localization
Experimental Results
Conclusion
References
Enhanced Steganographic Capacity Using Morphing Technique
Introduction
Literature Review
Proposed Algorithm
Embedding Process
Extraction Process
Simulation Results
Conclusion
References
Minutiae Based Geometric Hashing for Fingerprint Database
Introduction
Feature Extraction
Indexing
Searching
Experimental Results
Conclusion
References
Special Session on Protein and Gene Bioinformatics: Analysis, Algorithms and Applications
A Tracking Controller Using RBFNs for Closed-Chain Robotic Manipulators
Introduction
Dynamic Modeling
Proposed Tracking Controller
Simulation and Results
Conclusion
References
Enhancing 3D Scene Models Based on Automatic Context Analysis and Optimization Algorithm
Introduction
Context Analysis
Rotation Registration
Scene Model Generation
Experiments
Conclusions
References
Inference of Target Gene Regulation via miRNAs during Cell Senescence by Using the MiRaGE Server
Introduction
Materials and Methods
mRNA Expression
Inference of Target Gene Expression via the MiRaGE Server
miRNA Expression Extraction from Sequencing Data
Coincidence of miRNA Rankings between the IMR90 and MRC5 Cell Lines, Based upon P -Values
Correlation Coefficients between the Senescence-Associated miRNA Expression Change and the Rejection Probability for Target Gene Regulation
Results
Discussion
Conclusion
References
Sequence Analysis and Discrimination of Amyloid and Non-amyloid Peptides
Introduction
Materials and Methods
Datasets
Computation of Amino Acid Composition
Discrimination of Amyloid and Non-amyloid Peptides Using Statistical Methods and Machine Learning Techniques
Assessment of Predictive Ability
Results and Discussion
Preference of Residues at Six Different Positions of Amyloid and Non-amyloid Hexapeptides
Discrimination of Amyloid and Non-amyloid Peptides Using Statistical Methods
Discrimination of Amyloid and Non-amyloid Peptides Using Machine Learning Techniques
Conclusions
References
Fast DNA Sequence Clustering Based on Longest Common Subsequence
Introduction
Methods
Algorithm
Filtering Similar Sequence Pairs Based on the Longest Common Subsequence
Modification of Short Word Filtering
Implementation
Performance Evaluation
Results and Discussion
Conclusion
References
Special Session on Soft Computing and Bio-inspired Techiques in Real-World Applications
A Diversity-Guided Hybrid Particle Swarm Optimization
Introduction
Particle Swarm Optimization
The Proposed Hybrid Algorithm
Experiment Results
Conclusions
References
A Voting Procedure Supported by a Neural Validity Classifier for Optic Disk Detection
Introduction
A Multiple Procedure for Determining Candidate References
Maximum Difference Evaluation Procedure
Maximum Local Variance Method
Maximum Gray-Level Pixel Technique
A Neural Validity Classifier for a Retinal Voting Procedure
Synthesis of the Neural Validity Classifier
Conclusions
References
Using Artificial Neural Networks for Closed Loop Control of a Hydraulic Prosthesis for a Human Elbow
Introduction
The Innovative Elbow Prosthetic Device
The Model Description
Solving the Kinematic Problem by Neural Networks
Conclusions
References
Special Session on Bio-inspired Computing and Applications
Real Coded Feature Selection Integrated with Self-adaptive Differential Evolution Algorithm
Introduction
Methods
Weighted Distance Metric and Class Margin
Optimization Objective Function
Differential Evolution Algorithm
SaDE
Feature Selection Integrated with SaDE
Experiment and Result
Discussion and Conclusion
References
Optimization Based on Bacterial Colony Foraging
Introduction
The Bacterial Colony Foraging Algorithm
The Bacterial Colony Foraging Algorithm
Self-adaptation
Cell-to-cell Communication
Enhanced Chemotaxis
Experimental Result
Benchmarks
Settings
Results
Conclusions
References
Differential Evolution Based on Fitness Euclidean-Distance Ratio for Multimodal Optimization
Introduction
Differential Evolution and Fitness Eulidean-Distance Ratio
Differential Evolution Based on Fitness Eulidean-Distance Ratio
Experimental Results
Conclusions
References
Bacterial Colony Optimization: Principles and Foundations
Introduction
The Behavior of Artificial Bacteria
Bacterial Colony Optimization Principle
Chemotaxis and Communication Model
Elimination and Reproduction Model
Migration Model
Simulation Studies
Conclusions
References
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Emerging Intelligent Computing Technology and Applications

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