Recent Developments in Intelligent Computing, Communication and Devices (eBook)

Dr. Srikanta Patnaik is a Professor in the Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, India. He has received his Ph.D. (Engineering) on Computational Intelligence from Jadavpur University, India in 1999 and supervised 12 Ph.D. theses and more than 30 M. Tech theses in the area of Computational Intelligence, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published around 60 research papers in international journals and conference proceedings. He is author of 2 text books and edited 12 books and few invited book chapters, published by leading international publishers like Springer-Verlag, Kluwer Academic, etc. Dr. Patnaik was the Principal Investigator of AICTE sponsored TAPTEC project “Building Cognition for Intelligent Robot” and UGC sponsored Major Research Project “Machine Learning and Perception using Cognition Methods”. He is the Editor-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and also Series Editor of Book Series on “Modeling and Optimization in Science and Technology” published from Springer, Germany.Dr. Florin POPENTIU VLÃDICESCU is at present an associated Professor of Software Engineering at UNESCO Department University, City University, London. Dr. Florin POPENTIU has been a Visiting Professor at various universities such as Telecom Paris, ENST, Ecole Nationale Superieure des Mines Paris, ENSMP, Ecole Nationale Superieure de Techniques Avancees, ENSTA, ETH - Zurich, Université Pierre et Marie Curie Paris, UPMC, Delft University of Technology, University of Twente Enschede and Technical University of Denmark Lyngby. Prof. Florin POPENTIU VLÃDICESCU is currently Visiting Professor at "ParisTech" which includes the "Grandes Ecoles", The ATHENS Programme, where he teaches courses on Software Reliability. He also lectures on Software Reliability at International Master of Science in Computer Systems Engineering, Technical University of Denmark. Prof. Florin POPENTIU VLÃDICESCU has published over 100 papers in International Journals and Conference Proceedings and is author of one book and co-author of 3 books. He has worked for many years on problems associated with software reliability and has been Co-Director of two NATO research projects involving collaboration with partner institutions throughout Europe. He is on advisory board of several international journals; Reliability: Theory & Applications Journal of Systemics, Cybernetics and Informatics (JSCI) and Microelectronics Reliability. He is reviewer for ACM Computing Reviews, IJCSIS, and Associated Editor to IJICT.

Preface 6
Acknowledgements 9
About the Book 10
Contents 11
About the Editors 14
1 Research on SaaS-Based Mine Emergency Rescue Preplan and Case Management System 16
Abstract 16
1 Introduction 16
2 SaaS and Service-Oriented Architecture 17
3 The Architecture of System 18
4 The Components of System 19
5 System Implementation and Testing 20
6 Conclusion 22
Acknowledgements 22
References 23
2 An Investigation of Matching Approaches in Fingerprints Identification 24
Abstract 24
1 Introduction 25
2 Research Method 25
2.1 Research Questions 26
2.2 Research Strategies 26
3 Fingerprints Matching Approaches 26
3.1 Taxonomy of the Study 26
3.2 Generic Process of Three Main Types of Fingerprints Matching 27
4 Current Issues of the Matching Approaches 28
Acknowledgements 29
References 29
3 Figure Plagiarism Detection Using Content-Based Features 31
Abstract 31
1 Introduction 31
2 Content-Based Feature Extraction 32
3 Similarity Detection 33
4 Result and Evaluation 33
5 Conclusions 34
Acknowledgements 34
References 34
4 An Efficient Content-Based Image Retrieval (CBIR) Using GLCM for Feature Extraction 35
Abstract 35
1 Introduction 36
2 Proposed System 37
2.1 Preprocessing Phase 37
2.2 Feature Extraction Phase 38
3 Methodology 38
4 Similarity Feature Extraction 39
5 Algorithm for GLCM 40
6 Results and Discussion 41
7 Comparative Analysis 43
8 Conclusions 43
References 43
5 Emotion Recognition System Based on Facial Expressions Using SVM 45
Abstract 45
1 Introduction 45
2 Related Works 46
3 Emotion Recognition 47
3.1 Image Preprocessing 47
3.2 Feature Extraction 47
3.3 Feature Selection 48
3.4 Expression Recognition 48
3.5 Experiments Results 48
4 Conclusion 49
References 49
6 An AES–CHAOS-Based Hybrid Approach to Encrypt Multiple Images 50
Abstract 50
1 Introduction 50
1.1 Fast Chaotic Algorithm 51
1.2 AES Image Encryption 51
1.3 Cramer’s Rule 51
2 Literature Review 52
3 Proposed Algorithm 53
4 Results 54
5 Conclusion 56
References 56
7 Automatic Text Summarization of Video Lectures Using Subtitles 57
Abstract 57
1 Introduction 57
2 Proposed System 59
2.1 Proposed Architecture 59
2.1.1 Data Preprocessing 59
2.1.2 Feature Selection for Summarization 59
2.1.3 Processing After Feature Selection for Summarization 60
3 Conclusion 64
References 64
8 Classification of EMG Signals Using ANFIS for the Detection of Neuromuscular Disorders 65
Abstract 65
1 Introduction 66
2 Proposed Model 66
2.1 Preprocessing of the EMG Signal 67
2.2 Processing or Feature Extraction of EMG Signal 68
2.3 Classification of EMG Signal 68
3 Results and Analysis 70
4 Conclusion 71
References 71
9 Evaluating Similarity of Websites Using Genetic Algorithm for Web Design Reorganisation 73
Abstract 73
1 Introduction 73
2 Web Mining—A Background 74
2.1 Web Mining Taxonomy 74
2.2 Web Mining Tasks 76
3 Literature Survey 76
4 Proposed Methodology 77
5 Experimental Evaluation 81
5.1 Proposed Genetic Algorithm 81
5.2 Computation of Similarity 82
6 Conclusion 83
References 83
10 Fusion of Misuse Detection with Anomaly Detection Technique for Novel Hybrid Network Intrusion Detection System 85
Abstract 85
1 Introduction 86
2 Proposed Hybrid Intrusion Detection Methodology 87
2.1 Feature Preparation Module 88
2.2 Misuse Analyzer Module 89
2.3 Anomaly Analyzer Module 90
3 Simulation Results 91
4 Conclusion 97
References 98
11 Analysis of Reconfigurable Fabric Architecture with Cryptographic Application Using Hashing Techniques 100
Abstract 100
1 Introduction 100
2 Methodology 101
3 Implementation of Reconfigurable Fabric 102
4 Interconnect Topologies 103
5 Operation 104
6 Results 105
6.1 Hashing Function 105
7 Conclusion 106
References 107
12 Privacy Preservation of Infrequent Itemsets Mining Using GA Approach 108
Abstract 108
1 Introduction 108
2 Literature Survey 109
3 Problem Definition 109
4 Proposed Framework 109
5 Proposed Algorithm 110
5.1 Illustrated Example 111
6 Result Analysis 112
7 Conclusion 114
References 114
13 A Quinphone-Based Context-Dependent Acoustic Modeling for LVCSR 116
Abstract 116
1 Introduction 116
2 Working of ASR 117
3 Phonetic Representation of Speech Signals 118
3.1 Modeling Using Monophones 118
3.2 Modeling Using Triphones 119
3.3 Modeling Using Quinphones 119
4 Implementation 119
4.1 Speech Data Preparation 120
4.2 Training 120
4.3 ASR Performance Analysis 120
5 Experiments 121
5.1 Testing with Varying Vocabulary Sizes 121
5.2 Testing with Varying Gaussian Mixtures 121
6 Conclusion 122
References 122
14 Slot-Loaded Microstrip Antenna: A Possible Solution for Wide Banding and Attaining Low Cross-Polarization 123
Abstract 123
1 Introduction 123
2 Theoretical Background 124
3 Proposed Structure 126
4 Results and Discussions 126
5 Conclusions 128
Acknowledgements 128
References 128
15 Fractal PKC-Based Key Management Scheme for Wireless Sensor Networks 130
Abstract 130
1 Introduction 130
2 Related Work 131
3 Preliminaries 132
3.1 System Model 132
3.2 Fractal-based Key Pair Generation and Key Exchange 132
4 Fractal PKC-based Key Management Scheme: FPKM 133
4.1 Set-up Phase 133
4.2 Clustering Phase 133
4.3 Rekeying Phase 135
5 The Performance Evaluation of Proposed Scheme 135
6 Conclusion 136
References 137
16 Histogram-Based Human Segmentation Technique for Infrared Images 138
Abstract 138
1 Introduction 138
2 The Proposed Method 139
2.1 Selection of ROIs 139
2.2 Human Candidates Segmentation 140
3 Experiment Results 140
4 Conclusion 141
References 141
17 Medical Image Segmentation Based on Beta Mixture Distribution for Effective Identification of Lesions 142
Abstract 142
1 Introduction 142
2 Probability Distribution Functions of Beta Mixture Model Using the EM Algorithm 143
3 Clustering Algorithm Based on Fuzzy c-Means 144
4 Dataset 145
5 Segmentation Algorithm 145
5.1 Experimentation 146
6 Results Derived and Performance Analysis 146
7 Conclusion 148
References 148
18 Toward Segmentation of Images Based on Non-Normal Mixture Models Based on Bivariate Skew Distribution 150
Abstract 150
1 Introduction 150
2 Bivariate Skew Gaussian Mixture Model 151
3 k-Means Algorithm 152
4 Data Set Considered 152
5 Feature Selection 152
6 Experiment Result and Performance Evolution 155
7 Conclusion 156
References 156
19 Development of Video Surveillance System in All-Black Environment Based on Infrared Laser Light 158
Abstract 158
1 Introduction 159
2 Design of Video Capture System 159
2.1 IR Laser Aiding Light Module 160
2.2 Photoelectric Sensor Module 160
2.3 Central Control Module 161
3 System Testing 162
4 Conclusion 163
Acknowledgements 163
References 163
20 Data Preprocessing Techniques for Research Performance Analysis 165
Abstract 165
1 Introduction 165
2 Literature Review 166
2.1 Business Intelligence 166
2.2 Data Preprocessing 167
3 Research Performance Analysis 167
3.1 Data Preprocessing Approach 168
4 Conclusion 169
Acknowledgements 169
References 169
Author Index 171