Advances in Computer and Computational Sciences -

Advances in Computer and Computational Sciences (eBook)

Proceedings of ICCCCS 2016, Volume 1
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2017 | 1st ed. 2017
XXIV, 775 Seiten
Springer Singapore (Verlag)
978-981-10-3770-2 (ISBN)
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Exchange of information and innovative ideas are necessary to accelerate the development of technology. With advent of technology, intelligent and soft computing techniques came into existence with a wide scope of implementation in engineering sciences. Keeping this ideology in preference, this book includes the insights that reflect the 'Advances in Computer and Computational Sciences' from upcoming researchers and leading academicians across the globe. It contains high-quality peer-reviewed papers of 'International Conference on Computer, Communication and Computational Sciences (ICCCCS 2016), held during 12-13 August, 2016 in Ajmer, India. These papers are arranged in the form of chapters. The content of the book is divided into two volumes that cover variety of topics such as intelligent hardware and software design, advanced communications, power and energy optimization, intelligent techniques used in internet of things, intelligent image processing, advanced software engineering, evolutionary and soft computing, security and many more. This book helps the perspective readers' from computer industry and academia to derive the advances of next generation computer and communication technology and shape them into real life applications. 



Dr. Sanjiv K. Bhatia received his Ph.D. in Computer Science from the University of Nebraska, Lincoln in 1991.  He presently works as Professor and Graduate Director (Computer Science) in the University of Missouri, St. Louis.  His primary areas of research include image databases, digital image processing, and computer vision.  He has published over 40 articles in those areas. He has also consulted extensively with industry for commercial and military applications of computer vision. He is an expert in system programming and has worked on real-time and embedded applications. He serves on the organizing committee of a number of conferences and on the editorial board of international journals. He has taught a broad range of courses in computer science and was the recipient of Chancellor's Award for Excellence in Teaching in 2015.  He is a senior member of ACM.

Dr. Krishn K. Mishra is currently works as a Visiting Faculty, Department of Mathematics & Computer Science, University of Missouri, St. Louis, USA. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India which is also his base working institute. His primary area of research includes evolutionary algorithms, optimization techniques, and design and analysis of algorithms. He has published more than 50 publications in International Journals and in Proceedings of International Conferences of repute. He has served as a program committee member of several conferences and also edited Scopus and SCI-indexed journals. He has 15 years of teaching and research experience during which he made all his efforts to bridge the gaps between teaching and research.

Dr. Shailesh Tiwari is currently works as a Professor in Computer Science and Engineering Department, ABES Engineering College, Ghaziabad, India. He is also administratively heading the department. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. He has more than 15 years of experience in teaching, research and academic administration. His primary areas of research are software testing, implementation of optimization algorithms and machine learning techniques in software engineering. He has also published more than 40 publications in International Journals and in Proceedings of International Conferences of repute. He has served as a program committee member of several conferences and edited Scopus and E-SCI-indexed journals. He has also organized several international conferences under the banner of IEEE and Springer. He is a Senior Member of IEEE, member of IEEE Computer Society and Executive Committee member of IEEE Uttar Pradesh section. He is a member of reviewer and editorial board of several International Journals and Conferences.

Dr. Vivek Kumar Singh is Assistant Professor at Department of Computer Science, Banaras Hindu University, India. His major research interest lies in the area of text analytics. Currently, he is working on scientometrics, sentiment analysis, social network analysis; altmetrics which are the broader research area of text analytics. He has developed and coordinated a text analytics laboratory, which works in various text analytics tasks. He is an alumnus of Allahabad University, Allahabad, India. He has published more than 30 publications in International Journals and in Proceedings of International Conferences of repute. He has also served in South Asian University, Delhi, India as an Assistant Professor for more than 4 years. He has also associated with several research projects such as Indo-Mexican Joint Research Project funded jointly by the Department of Science and Technology, Government of India along with the National Council for Science and Technology (CONACYT) of the United Mexican States.


Exchange of information and innovative ideas are necessary to accelerate the development of technology. With advent of technology, intelligent and soft computing techniques came into existence with a wide scope of implementation in engineering sciences. Keeping this ideology in preference, this book includes the insights that reflect the 'Advances in Computer and Computational Sciences' from upcoming researchers and leading academicians across the globe. It contains high-quality peer-reviewed papers of 'International Conference on Computer, Communication and Computational Sciences (ICCCCS 2016), held during 12-13 August, 2016 in Ajmer, India. These papers are arranged in the form of chapters. The content of the book is divided into two volumes that cover variety of topics such as intelligent hardware and software design, advanced communications, power and energy optimization, intelligent techniques used in internet of things, intelligent image processing, advanced software engineering,evolutionary and soft computing, security and many more. This book helps the perspective readers' from computer industry and academia to derive the advances of next generation computer and communication technology and shape them into real life applications. 

Dr. Sanjiv K. Bhatia received his Ph.D. in Computer Science from the University of Nebraska, Lincoln in 1991.  He presently works as Professor and Graduate Director (Computer Science) in the University of Missouri, St. Louis.  His primary areas of research include image databases, digital image processing, and computer vision.  He has published over 40 articles in those areas. He has also consulted extensively with industry for commercial and military applications of computer vision. He is an expert in system programming and has worked on real-time and embedded applications. He serves on the organizing committee of a number of conferences and on the editorial board of international journals. He has taught a broad range of courses in computer science and was the recipient of Chancellor’s Award for Excellence in Teaching in 2015.  He is a senior member of ACM.Dr. Krishn K. Mishra is currently works as a Visiting Faculty, Department of Mathematics & Computer Science, University of Missouri, St. Louis, USA. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India which is also his base working institute. His primary area of research includes evolutionary algorithms, optimization techniques, and design and analysis of algorithms. He has published more than 50 publications in International Journals and in Proceedings of International Conferences of repute. He has served as a program committee member of several conferences and also edited Scopus and SCI-indexed journals. He has 15 years of teaching and research experience during which he made all his efforts to bridge the gaps between teaching and research. Dr. Shailesh Tiwari is currently works as a Professor in Computer Science and Engineering Department, ABES Engineering College, Ghaziabad, India. He is also administratively heading the department. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. He has more than 15 years of experience in teaching, research and academic administration. His primary areas of research are software testing, implementation of optimization algorithms and machine learning techniques in software engineering. He has also published more than 40 publications in International Journals and in Proceedings of International Conferences of repute. He has served as a program committee member of several conferences and edited Scopus and E-SCI-indexed journals. He has also organized several international conferences under the banner of IEEE and Springer. He is a Senior Member of IEEE, member of IEEE Computer Society and Executive Committee member of IEEE Uttar Pradesh section. He is a member of reviewer and editorial board of several International Journals and Conferences. Dr. Vivek Kumar Singh is Assistant Professor at Department of Computer Science, Banaras Hindu University, India. His major research interest lies in the area of text analytics. Currently, he is working on scientometrics, sentiment analysis, social network analysis; altmetrics which are the broader research area of text analytics. He has developed and coordinated a text analytics laboratory, which works in various text analytics tasks. He is an alumnus of Allahabad University, Allahabad, India. He has published more than 30 publications in International Journals and in Proceedings of International Conferences of repute. He has also served in South Asian University, Delhi, India as an Assistant Professor for more than 4 years. He has also associated with several research projects such as Indo-Mexican Joint Research Project funded jointly by the Department of Science and Technology, Government of India along with the National Council for Science and Technology (CONACYT) of the United Mexican States.

Preface 6
Organizing Committee 8
Technical Program Committee 10
Contents 16
About the Editors 23
Intelligent Hardware and Software Design 25
1 Biogeography-Based Optimization for Cluster Analysis 26
Abstract 26
1 Introduction 27
2 Model Definition 28
3 Biogeography-Based Optimization 30
4 Experiments 30
4.1 Artificial Data 31
4.2 Algorithm Comparison 31
5 Discussion 32
6 Conclusions 32
Acknowledgements 33
References 33
2 BTpower: An Application for Remote Controlling PowerPoint Presentation Through Smartphone 36
Abstract 36
1 Introduction 36
2 Related Work 37
3 Implementation 38
3.1 File Selector 39
3.2 Bluetooth Device List Activity 39
3.3 Slide Show Activity 39
3.4 Server Code 40
4 User Manual 41
5 Requirement Specification 41
6 Conclusion 42
References 43
3 Crowd Monitoring and Classification: A Survey 44
Abstract 44
1 Introduction 44
2 Crowd Scene Monitoring Applications 45
2.1 Motivations to Crowd Monitoring and Classification 46
3 Feature Categorization in Crowded Scene 46
3.1 Flow-Based Features 47
3.2 Local Spatio-Temporal Features 47
3.3 Trajectory/Tracklet 48
4 Crowd Analysis and Monitoring 48
4.1 People Counting or Density Estimation 49
4.2 People Tracking 49
4.3 Crowd Behavior Analysis 51
5 Crowd Video Dataset 52
6 Summary and Future Scope 52
References 53
4 A Roadmap to Identify Complexity Metrics for Measuring Usability of Component-Based Software System 55
Abstract 55
1 Introduction 55
2 Review Process 56
2.1 Inclusion and Exclusion Criteria 56
2.2 Research Questions 57
3 Literature Review 57
4 Result Analysis 59
5 Conclusion 61
References 62
5 Smart Bike Sharing System to Make the City Even Smarter 64
Abstract 64
1 Introduction 64
2 Literature Review of Related Work 66
3 Methodology 67
3.1 Data Analysis 69
3.2 Simulating the Smart Bike Sharing System Using the NS2 Simulator 74
4 Discussion 74
4.1 Contribution of Work 74
4.2 Limitations of Work 75
5 Conclusion and Future Work 75
References 76
6 Effects of Mean Metric Value Over CK Metrics Distribution Towards Improved Software Fault Predictions 77
Abstract 77
1 Introduction 78
2 Background 79
3 Experiment Design 80
3.1 Data Set 81
3.2 Classifiers Used in Experiment 82
3.2.1 Naive Bayes 82
3.2.2 Other Classifiers 83
3.3 Classification Measures Considered for Experiment 84
3.3.1 Classification Accuracy and Building Time 84
3.3.2 ROC Curve 84
4 Result and Discussion 86
5 Concluding Remarks and Future Work 89
References 90
7 Feedforward and Feedbackward Approach-Based Estimation Model for Agile Software Development 92
Abstract 92
1 Introduction 92
2 Literature Review 93
3 Implementation Using SDV Estimation Model 94
3.1 SDV Estimation Model 94
3.2 Quantitative Estimation of the Model Using an Algorithmic Approach 94
4 Implementation and Experiment Results 97
5 Conclusion 99
References 99
8 Investigation of Effectiveness of Simple Thresholding for Accurate Yawn Detection 100
Abstract 100
1 Introduction 101
2 Related Work 101
3 Yawn Detection 103
3.1 Face Detection and Eye Detection 103
3.2 Mouth Localization 103
3.3 Yawn Analysis 105
4 Results 106
5 Conclusions and Future Scope 107
References 107
9 A Survey to Structure of Directories in File System 109
Abstract 109
1 Introduction 109
2 Concepts 110
2.1 Classes of Data 110
2.2 Inode Structure 111
2.3 File Lookup 111
3 Directory Structure 112
3.1 FAT 113
3.2 PMFS 114
3.3 F2FS 115
4 Experiments 117
4.1 Experimental Setup 117
4.2 Add Directory Entries 117
4.3 Lookup Directory Entries 118
4.4 Delete Directory Entries 119
5 Conclusion 120
Acknowledgements 120
References 120
10 A User-Mode Scheduling Mechanism for ARINC653 Partitioning in seL4 122
Abstract 122
1 Introduction 122
2 Problem Analysis 124
2.1 ARINC 653 Scheduling Requirements 124
2.2 Why not Kernel-Mode 124
3 User-Mode Design for ARINC 653 Temporal Partitioning in SeL4 124
3.1 Preliminaries 125
3.2 Initialization 125
3.3 Partition Scheduling 126
3.4 Process Scheduling 127
4 Evaluation 127
4.1 Execution Trace 127
4.2 Overhead Analysis 128
5 Conclusion and Future Work 129
Acknowledgements 129
References 129
11 Vectorizable Design and Implementation of Matrix Multiplication on Vector Processor 131
Abstract 131
1 Introduction 132
2 The Architecture of Matrix2 133
3 Bp Algorithm Analysis 133
4 Method of Single-Core GEMV Vectorization 134
4.1 GEMV Algorithm Analysis 134
5 Performance Measurement and Analysis 135
6 Conclusion and Future Work 137
Acknowledgements 137
References 138
12 Construction of Test Cases for Electronic Controllers Based on Timed Automata 139
Abstract 139
1 Introduction 139
2 Timed Automata 140
3 Test-Case Generation Based on Timed Automata 142
4 Select and Construct Test-Cases 144
4.1 The Stability of the Test Cases and Construction Rules 144
4.2 The History-Irrelevance of Test-Cases and Construction Rules 145
5 Discussion and Case Study 147
6 Conclusions 148
References 149
13 ‘X’ Shape Slot-Based Microstrip Fractal Antenna for IEEE 802.11 WLAN 150
Abstract 150
1 Introduction 150
2 Proposed ‘X’ Shape Slot-Based Fractal Antenna Design 151
2.1 Design Steps 151
3 Simulation Results of Proposed ‘X’ Shape Slot-Based Fractal Antenna 153
3.1 Radiation Pattern 153
3.2 Return Loss 154
3.3 Voltage Standing Wave Ratio (VSWR) 154
4 Measured Results of Fabricated Antenna 154
4.1 Return Loss 156
5 Comparison of Simulated and Measured Antenna Results 156
6 Conclusions 157
References 157
14 Performance Enhancement of an E-shaped Microstrip Patch Antenna Loaded with Metamaterial 159
Abstract 159
1 Introduction 160
1.1 Related Work 160
1.2 Contribution 160
1.3 Organization of Paper 161
2 Antenna Design 161
2.1 E-patch 161
2.2 Metamaterial Structure 161
2.3 Antenna Design with Metamaterial 162
3 Results and Discussion 164
4 Conclusion 166
References 166
15 Narrow Channel Multiple Frequency Microstrip Antenna with Slits 168
Abstract 168
1 Introduction 169
1.1 Related Work 169
1.2 Contribution 170
1.3 Organization of Paper 171
2 Antenna Design 171
3 Simulated Results and Discussion 172
4 Conclusion 176
References 176
Advanced Communications 178
16 An Analysis of Resolution of Deadlock in Mobile Agent System Through Different Techniques 179
Abstract 179
1 Introduction 179
2 Distributed Deadlock Detection (“Traditional Approach”) 180
3 Distributed Deadlock Solution 181
3.1 Deadlock Shadow Agent Technique 181
3.2 Premise and Assumptions 183
4 Proposed Solution Theoretical Measurements 184
5 Conclusion 187
References 188
17 Robustness Analysis of Buffer-Based Routing Algorithms in Wireless Mesh Network 189
Abstract 189
1 Introduction 189
2 Related Work 190
3 Proposed Work 191
4 Result and Analysis 199
5 Conclusions and Future Work 200
References 200
18 The Security Challenges and Opportunities of New Network Under the Hybrid Cloud Environment 202
Abstract 202
1 Introduction 202
2 New Opportunities of SDN/NFV in the Security Protection 204
2.1 Global and Real-Time Flow View 204
2.2 Flexible Security Services 204
2.3 Software-Defined Security 205
3 Security Challenges of New Network 205
3.1 Architecture 206
3.2 System Implementation 206
3.3 Policy Consistency 207
3.4 Compatibility of SDN and the Virtualization System 207
3.5 Compatibility of NFV and Hypervisor 208
3.6 System Availability 208
4 Security Advice 209
4.1 The Global System Design 209
4.2 Multiple Inspection Service Chain 209
4.3 Failure Recovery Mechanisms 210
5 Conclusion 210
References 210
19 A Linguistic Rule-Based Approach for Aspect-Level Sentiment Analysis of Movie Reviews 212
Abstract 212
1 Introduction 213
2 Related Work 213
3 Methodology 214
3.1 Identifying Aspect 214
3.2 Locate Opinion About Each Aspect 215
3.3 Sentiment Polarity Computation 216
4 Experiments and Evaluation 217
4.1 Dataset 217
4.2 Results and Evaluation 218
5 Conclusion 219
References 219
20 Implementation and Statistical Comparison of Different Edge Detection Techniques 221
Abstract 221
1 Introduction 221
2 Types of Edges 225
3 Techniques for Edge Detection 226
3.1 Robert’s Cross Edge Detection 226
4 Results 229
5 Conclusion and Future Work 237
21 CALDUEL: Cost And Load overhead reDUction for routE discovery in LOAD ProtocoL 239
Abstract 239
1 Introduction 239
2 Related Works 241
3 CALDUEL: A Proposed Technique 242
4 Results and Discussions 242
5 Conclusion 246
References 246
AASOP: An Approach to Select Optimum Path for Minimizing Data Transfer Delay in Mobile Ad-Hoc Networks 248
1 Introduction 248
2 Related Works 249
3 AASOP: A Proposed Technique 250
4 Scenarios and Discussions 251
5 Simulation Results 255
5.1 Simulation Parameters and Values 255
5.2 Performance Metrics 255
6 Conclusion 257
References 258
23 Resource Factor-Based Leader Election for Ring Networks 259
Abstract 259
1 Introduction 259
2 Related Works 260
3 Proposed Work 261
4 Results and Discussion 262
4.1 Case 1 (Each Features of All Nodes Having Same Weightage ?i) 263
4.2 Case 2 (Considering Weightage ?i of Each Features fi of Nodes Are Different) 264
5 Conclusion 264
References 265
24 TACA: Throughput Aware Call Admission Control Algorithm for VoIP Users in Mobile Networks 266
Abstract 266
1 Introduction 267
2 Related Works 267
3 TACA: A Proposed Technique 269
4 Simulation Results 270
4.1 Without Ranking 270
5 Conclusion 275
References 276
25 A Literature Survey on Detection and Prevention Against Vampire Attack in WSN 278
Abstract 278
1 Introduction 278
1.1 Wireless Sensor Network 278
1.2 Challenges in Designing WSN 279
2 Threat Model of WSN 279
2.1 Passive Attacks 279
2.2 Active Attacks 279
3 Vampire Attack 280
3.1 Vampire Attack on Stateless Protocol 280
3.2 Vampire Attacks on Stateful Protocol 282
4 Related Work 282
5 Discussion 285
6 Conclusion and Future Work 285
References 285
26 Cloud-Based on Agent Model for Mobile Devices 287
Abstract 287
1 Introduction 287
2 Cloud Computing in Mobile Environment 288
2.1 Cloud Computing 289
2.2 Mobile Cloud Computing 289
3 Related Works 290
4 Proposed Approach 292
4.1 Description 293
4.2 Modeling 294
4.2.1 Experimental Study 294
4.2.2 Energy Consumption 295
4.2.3 Response Time 295
4.2.4 Degree of SLA Violation 296
5 Conclusion and Future Works 297
References 297
27 Node Mobility Issues in Underwater Wireless Sensor Network 299
Abstract 299
1 Introduction 299
2 Literature Review 300
3 Architecture of Underwater System 301
4 Issues Related to Under Water System 303
5 Division of Underwater WSN Based on Node Mobility 303
6 Conclusion and Future Work 308
References 309
28 Bit Error Rate (BER) Performance Enhancement for Wireless Communication System Using Modified Turbo Codes 310
Abstract 310
1 Introduction 310
2 Modified Turbo Codes 312
3 Simulation and Result 313
4 Conclusion 315
References 315
29 A Timestamp-Based Strong Designated Verifier Signature Scheme for Next-Generation Network Security Services 316
Abstract 316
1 Introduction 316
2 Lee-Chang’s Strong Designated Verifier Signature Scheme 319
2.1 Signature Generation 319
2.2 Signature Verification 319
2.3 Signature Simulation 319
3 Forgery Attack on Lee-Chang’s Scheme 320
4 Improved Scheme 321
4.1 Signature Generation 322
4.2 Signature Verification 322
4.3 Correctness Proof 322
4.4 Signature Simulation 323
5 Analysis of the Improved Scheme 323
5.1 Security Analysis 323
5.2 Performance Comparison of the Improved Scheme with Lee-Chang’s Scheme 324
6 Conclusion 324
References 325
30 Motion Estimation Enhancement and Data Transmission Issue Over WiMAX Network 326
Abstract 326
1 Introduction 327
2 Related Work 329
3 Methods Used: S-R Model, Motion Estimation Algorithms and Reconstruction Algorithm 330
4 Proposed Framework 333
5 Conclusion and Future Work 335
References 335
31 A Reliable Tactic for Detecting Black Hole Attack in Vehicular Ad Hoc Networks 337
Abstract 337
1 Introduction 337
2 Related Work 339
3 Our Contribution 340
4 Proposed Work 340
4.1 Algorithm 342
5 Simulation and Results 342
6 Conclusion and Future Scope 345
References 346
32 On Solutions to Vehicle Routing Problems Using Swarm Optimization Techniques: A Review 348
Abstract 348
1 Introduction 348
2 Variants of VRP 349
3 CVRP, VRPTW and VRPPD Formulation 350
4 Swarm Intelligence Techniques 351
5 Literature Review 352
6 Conclusion 355
References 355
33 Scrutiny of VANET Protocols on the Basis of Communication Scenario and Implementation of WAVE 802.11p/1609.4 with NS3 Using SUMO 358
Abstract 358
1 Introduction 359
2 VANET Architecture, Applications and Challenges 360
3 Analysis of VANET Routing Protocols 362
4 Communication Scenario-Based Comparison of VANET Protocols and Scenario Based Implementation of Wave 802.11p/1609.4 370
5 Conclusion and Future Scope 372
References 372
34 Efficient Module for OHM (Online Hybrid Model) 375
Abstract 375
1 Introduction 376
2 Previous Work 376
3 Proposed Model 379
4 Conclusion 381
References 381
35 SANet: An Approach for Prediction in Music Trends 384
Abstract 384
1 Introduction 385
2 SANet 385
2.1 Adjustment of Node Number in Hidden Layers 385
2.2 Adjustment of Studying Rate 386
3 The Construction of Model 386
3.1 Prediction Model 386
3.2 Data Preprocessing 387
3.3 Determine the Model 387
4 Experiment Design and Results 388
5 Conclusion 389
References 389
36 Multichannel Dual Clocks Two-Dimensional Probability Random Access Protocol with Three-way Handshake Mechanism 391
Abstract 391
1 Introduction 391
2 Protocol Model 392
3 Simulation 394
4 Conclusions 397
Acknowledgements 397
References 397
37 Labeling and Encoding Hierarchical Addressing for Scalable Internet Routing 399
Abstract 399
1 Introduction 399
2 Variable-Length Encoding Hierarchical Addressing 400
3 Performance Evaluation 402
4 Conclusion 403
Acknowledgements 403
References 403
38 Link Utilization in Hybrid WiMAX-Wi-Fi Video Surveillance Systems 405
Abstract 405
1 Introduction 406
2 Related Work 406
3 WiMAX and Hybrid WiMAX-Wi-Fi Networks 407
4 Theory: Modelling Traffic Flows 408
4.1 Bandwidth 408
4.2 Actual Throughput at the CPE 409
4.3 Link Utilisation 409
5 Simulation Methodology 410
6 Results and Discussion 411
7 Conclusion 414
Acknowledgements 414
References 414
Power and Energy Optimization 416
39 Short Term Price Forecasting Using Adaptive Generalized Neuron Model 417
Abstract 417
1 Introduction 417
2 Drawbacks of Conventional ANN 418
3 Proposed Methodology 419
3.1 Generalized Neuron Model 419
3.2 Adaptive Genetic Algorithm 420
3.3 Wavelet Transform 421
4 Proposed Model Accuracy 422
5 Results and Discussion 422
6 Conclusion 425
References 425
40 Design and Performance Comparison of CNTFET-Based Binary and Ternary Logic Inverter and Decoder With 32 nm CMOS Technology 427
Abstract 427
1 Introduction 428
2 Review of Ternary Logic 429
3 Carbon Nanotube Field Effect Transistor (CNTFET) 429
4 Circuit Design and Techniques 431
4.1 Binary Inverter 431
4.2 Ternary Inverter 431
4.3 Ternary Decoder 432
5 Simulation Results 433
5.1 CMOS Based 433
5.2 CNTFET Based 433
6 Comparative Analysis 434
7 Conclusion 434
References 435
41 Optimized Route Selection on the Basis of Discontinuity and Energy Consumption in Delay-Tolerant Networks 436
Abstract 436
1 Introduction 437
2 Route Selection 437
2.1 Synchronism in DTN 437
2.2 Simultaneousness or Concurrency 439
2.3 Discontinuity or Irregularity 439
2.4 Relationship Between (DIS) Discontinuity, (SIM) Simultaneousness and (SYN) Synchronicity in DTN 440
3 Methodologies to Measure Energy Consumption of a Node 441
3.1 Power Consumption Models and Modes 441
3.1.1 Transmission Mode 441
3.1.2 Receiving or Reception Mode 441
3.1.3 Passive or Idle Mode 442
4 Proposed Algorithm 442
5 Simulation Results 443
6 Conclusion 445
References 445
42 Remote Fuel Measurement 447
Abstract 447
1 Introduction 447
2 Related Work 449
2.1 Communication Protocols Wi-Fi for Fuel Measurement 449
2.2 Communication Protocols BlueTooth for Fuel Measurement 452
3 Analysis 453
4 Conclusions and Recommendations 457
References 458
43 Design and Implementation of “Reassurance Broiler Project” Traceability Platform 460
Abstract 460
1 Introduction 460
2 Requirement Analysis 461
3 System Analysis 462
3.1 Workflow 462
3.2 Use Case Diagram 463
4 The Overall Design 463
4.1 Technology Framework Specification 463
4.2 Platform Architecture 464
4.3 Composition of the Platform 464
4.4 Traceability Identification and Its Transfer 464
5 Detailed Design 465
5.1 Database Design 465
5.2 User Management and Login 465
5.3 Enterprise Basic Information Management 466
5.4 Chick Releasing Management 466
5.5 Broiler Breeding Management 467
5.6 Broiler Traceability Management 467
5.7 Third-Party Platform User Early Warning Management 467
5.8 Government Supervision 467
6 Application and Demonstration 467
7 Conclusions 468
Acknowledgements 469
References 469
44 Implementation of Low-Power 6T SRAM Cell Using MTCMOS Technique 470
Abstract 470
1 Introduction 470
2 Leakage Current Components in CMOS 471
2.1 Junction Leakage Current 471
2.2 Gate Leakage Current 472
2.3 Sub-threshold Leakage Current 472
3 Conventional 6T CMOS SRAM Cell 473
4 High-Speed Low-Power MTCMOS SRAM Cell 473
5 Simulation and Results 475
6 Conclusion 476
References 476
45 Short-Term Electricity Price Forecasting Using Wavelet Transform Integrated Generalized Neuron 478
Abstract 478
1 Introduction 478
2 Drawbacks of Artificial Neural Network 479
3 Generalized Neuron Model 480
4 Generalized Neuron Model Learning Algorithm 480
5 Wavelet Transform 482
6 Selection of Wavelet Transform 483
7 Proposed Methodology 485
8 Results and Discussion 485
9 Conclusion 487
References 488
Evolutionary and Soft Computing 489
46 Multiple Instance Learning Based on Twin Support Vector Machine 490
Abstract 490
1 Introduction 490
2 Twin Support Vector Machine 492
3 Multiple Instance Learning TWSVM 494
4 Results and Discussion 495
5 Conclusion 499
References 499
47 Optimized Task Scheduling Using Differential Evolutionary Algorithm 501
Abstract 501
1 Introduction 501
1.1 Problem Introduction 502
2 Literature Survey 502
3 Proposed Methodology 503
3.1 Algorithm 504
3.2 Flowchart 504
4 Implementation Results 505
5 Conclusion 508
References 508
48 Adaptive Krill Herd Algorithm for Global Numerical Optimization 509
Abstract 509
1 Introduction 510
2 Krill Herd Algorithm 511
3 Adaptive Krill Herd Algorithm 512
4 Numerical Examples 514
5 Conclusion 515
Appendix 1 515
References 517
49 Sliding Mode Control of Uncertain Nonlinear Discrete Delayed Time System Using Chebyshev Neural Network 518
Abstract 518
1 Introduction 518
2 CNN Structure 520
3 Problem Formulation 521
4 Predicted SMC 523
5 Controller Design 524
6 Stability Analysis 525
7 Simulation Results 527
8 Conclusion 529
References 529
Artificial Bee Colony as a Frontier in Evolutionary Optimization: A Survey 532
1 Introduction 532
2 The Artificial Bee Colony 533
3 Applications of ABC Algorithm 533
4 Performance Evaluation of ABC 535
5 Conclusion 536
References 537
51 Selection of Best State for Tourism in India by Fuzzy Approach 540
Abstract 540
1 Introduction 540
2 Literature Review 541
3 Methodology 543
3.1 AHP and Fuzzy-AHP Approach 543
4 Case Study 544
4.1 Problem Definition 544
4.2 Calculation 544
5 Conclusion 547
References 547
52 Impact of Memory Space Optimization Technique on Fast Network Motif Search Algorithm 549
Abstract 549
1 Introduction 549
2 Material and Method 551
2.1 Enumeration 552
2.2 Classification 554
2.3 Motif Detection 554
2.4 Datasets 555
3 Results and Discussion 555
4 Conclusion and Future Work 557
Acknowledgements 557
References 557
53 A Novel Hybrid Approach Particle Swarm Optimizer with Moth-Flame Optimizer Algorithm 558
Abstract 558
1 Introduction 559
2 Standard PSO and Standard MFO 559
2.1 PSO (Particle Swarm Optimization) 559
2.2 Moth-Flame Optimizer 560
2.3 The Hybrid PSO-MFO Algorithm 561
3 Simulation Results for Unconstraint Test Benchmark Function 562
4 Overcurrent Relay Coordination with Common Configuration in Power System 564
5 Conclusions 565
References 566
Differential Evolution Algorithm Using Population-Based Homeostasis Difference Vector 567
1 Introduction 567
2 Related Work 568
3 Proposed Approach 569
4 Experimental and Analysis 570
4.1 Testing Framework 571
4.2 Analysis of the Results 571
4.3 Effect of Various Parameters on the Performance of Algorithm 573
5 Conclusion 573
References 574
55 Cost Effective Parameter Analysis of Real-Time Multi Core Algorithms 576
Abstract 576
1 Introduction 576
2 Related Work 578
3 Comparative Analysis 579
4 Result 585
5 Conclusion and Future Work 586
References 586
Variant of Differential Evolution Algorithm 588
1 Introduction 589
2 Differential Evolution 589
3 Basic and Proposed DE Algorithm 590
4 Proposed Work 591
5 Result Analysis 592
6 Conclusion 592
References 594
57 Novel Apparition Attributes to Improve Interactive Visualization 596
Abstract 596
1 Introduction 596
2 Related Work 597
3 Problem Identification 599
4 Research Methodology 599
5 Novel Apparition Attributes for IV 599
5.1 Age Group 599
5.2 Environmental Effects 600
5.3 Simulation Result 602
6 Conclusion 603
Acknowledgements 603
References 603
58 Five-Layered Neural Fuzzy Closed-Loop Hybrid Control System with Compound Bayesian Decision-Making Process for Classification Cum Identification of Mixed Connective Conjunct Consonants and Numerals 606
Abstract 606
1 Introduction 607
2 Handwritten Mixed Connective Conjunct Consonants and Variations 608
3 Manuscript Objectives 608
4 Five Layer of Neural Fuzzy Closed-Loop Hybrid Control System (FNFHCS) 609
4.1 Advantages and Major Functionalities of Neural Networks and Fuzzy Logic Control System in OCR Approach 610
4.2 Advantages and Major Functionalities of Five Layers Approach of Neural Fuzzy Closed-Loop Hybrid Control System 610
4.3 Arrangement of Fuzzy Closed-Loop Control System and Formation of Compound Bayesian Classification Process (CBCP) 611
5 Methodology Execution 612
6 Conclusion and Future Scope 615
References 616
59 UMEED-A Fuzzy Rule-Based Legal Expert System to Address Domestic Violence Against Women 617
Abstract 617
1 Introduction 618
2 Design and Implementation of ‘UMEED’ 619
3 Results and Discussion 622
3.1 Test Case 1 622
3.2 Test Case 2 622
3.3 Test Case 3 623
4 Conclusions and Future Scope 623
Acknowledgements 624
References 624
60 Medical Image Defects Investigation Through Reliability Computing 625
Abstract 625
1 Introduction 625
1.1 Edge Detection 626
2 Literature Survey 626
3 Image Defect Removal Technique 627
3.1 Noise 627
3.1.1 Gaussian Noise 627
3.1.2 Salt-and-Pepper Noise 628
3.1.3 Shot Noise 628
3.1.4 Speckle Noise 628
3.2 Filter 628
3.2.1 Average Filter (Mean Filter) 628
3.2.2 Order Static Filter 628
3.2.3 Wiener Filter 629
4 Proposed Algorithm 629
5 Working Process 629
6 Simulation and Result 630
7 Conclusion and Future Work 633
References 633
61 An Improved Apriori Algorithm with Prejudging and Screening 635
Abstract 635
1 Introduction 636
2 Theoretical Basis 637
3 IAPS Algorithm 638
3.1 The Idea 638
3.2 The IAPS Algorithm 639
4 Experimental Results and Analysis 640
5 Conclusions 642
Acknowledgements 642
References 642
62 Design and Implementation for Massively Parallel Automated Localization of Neurons for Brain Circuits 644
Abstract 644
1 Introduction 645
2 Related Work 645
3 Methodology 646
3.1 Image Stack Partition 647
3.2 Hybrid Parallelization Algorithm 648
3.3 Three-Stage Parallel Pipeline 648
4 Experimental Results 649
5 Conclusions 650
Acknowledgements 650
References 650
63 Research on Cross-Connect Technology for Large-Capacity and High-Speed SDH Signal 652
Abstract 652
1 Introduction 652
2 Principle of SDH Cross-Connect 653
3 Design Scheme of SDH Cross-Connect System 654
3.1 Overall Design 654
3.2 Design of High-Order Business Board 655
3.3 Design of Low-Order Business Board 656
4 Test Results 657
5 Conclusion 658
References 658
64 Design and Optimization of an Intelligent Evacuation Light System 660
Abstract 660
1 Introduction 660
2 Comparative Study Between Modbus Protocol and CAN Bus 661
3 Intelligent System Overall Design Scheme 662
3.1 The Topology Structure of the Intelligent System 662
3.2 Power Management Scheme Design 664
4 System Software Design 665
4.1 CAN Bus Software Design 665
4.2 Modbus Communication Protocol Software Design 667
5 Conclusion 670
References 670
65 Forty Years of BioFETOLOGY: A Research Review 671
Abstract 671
1 Introduction 672
2 Theory of BIOFETS 672
3 BioFETs Classification and Advancements 675
3.1 ENFET 675
3.2 ImmunoFET 676
3.3 GENFET 677
3.4 Cell-Based BioFET 677
3.5 Beetle Chip FET 678
4 BioFETs Based on CNT Technology 679
5 Conclusion 680
Acknowledgements 680
References 681
66 Domain Based Assessment of Users’ Dependency on Search Engines 682
Abstract 682
1 Introduction 682
2 Background Study 683
3 Identification of Dependency Parameters and Experimental Setup 684
3.1 Time Dependency 684
3.2 Most Frequently Used Search Engine 686
3.3 Second Choice of Search Engine 686
3.4 Search Engine Versus Library 687
3.5 Preferred Option to Get Information 687
3.6 Complete Dependency on Search Engine 687
4 Methodology Used 688
4.1 Stage I—Qualitative Research 688
4.2 Stage II—Quantitative Research 688
5 Results and Discussions 688
6 Conclusion 691
References 692
67 Literature Review on Knowledge Harvesting and Management System 693
Abstract 693
1 Introduction 693
2 Literature Review 695
2.1 Knowledge 695
2.2 Knowledge Management (KM) 695
2.3 Continuity Management (CM) 696
2.4 Knowledge Harvesting (KH) 696
2.5 KH and Management System 698
3 Conclusion and Future Scope 699
References 700
68 Adaptive Network Based Fuzzy Inference System for Early Diagnosis of Dengue Disease 703
Abstract 703
1 Introduction 703
2 Methodology 705
2.1 Data Set 705
2.2 ANFIS Model for Dengue Disease Classification 706
2.2.1 Optimization and Evaluation of Parameters 706
3 Results and Discussions 707
3.1 Optimization of ANFIS Model 707
3.2 Testing of ANFIS Model 708
3.3 Evaluation of the ANFIS Model Performance 708
4 Conclusion 709
Acknowledgements 709
References 709
69 Empowering Agile Method Feature-Driven Development by Extending It in RUP Shell 711
Abstract 711
1 Introduction 711
2 Background and Motivation 713
3 Feature-Driven Development Method 714
4 Extending FDD in an RUP Shell 715
5 Why ExFDD 718
6 Conclusion 719
References 720
70 Social Media Trends and Prediction of Subjective Well-Being: A Literature Review 722
Abstract 722
1 Introduction 723
2 Social Media Analytics 724
2.1 Offline Social Media Analytics 724
2.2 Real-Time Social Media Analytics 725
3 Human Behavior 726
3.1 Factors and Theories of Human Behavior 727
3.2 Opinion Mining 728
4 Subjective Well-Being 728
5 Conclusion and Future Work 730
References 731
Chattering Free Trajectory Tracking Control of a Robotic Manipulator Using High Order Sliding Mode 733
1 Introduction 733
2 System Description 734
2.1 Control Objective 735
3 Problem Formulation 735
4 Proposed Controller Design 736
4.1 Design of Robust Exact Differentiator 737
4.2 Convergence and Stability Analysis 737
5 Simulation Results and Discussion 738
6 Conclusions 740
References 741
72 Extraction and Enhancement of Moving Objects in a Video 742
Abstract 742
1 Introduction 742
2 Related Work 743
3 Proposed Algorithm 744
3.1 Preprocessing of Frames 744
3.2 Detection of Objects in Motion 745
3.3 Post Processing of Extracted Objects 746
4 Image Enhancement 746
5 Experiments and Results 746
6 Conclusion 748
References 749
Author Index 751

Erscheint lt. Verlag 25.5.2017
Reihe/Serie Advances in Intelligent Systems and Computing
Zusatzinfo XXIV, 775 p. 321 illus.
Verlagsort Singapore
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
Schlagworte Advanced Database Management Systems • Advance Software Engineering • Artificial Intelligence • Computer Communication • Computer Graphics and Multimedia • Computer Security • Distributed and Parallel Processing • Evolutionary Computing • Hardware and Software Design • ICCCCS 2016 • ICCCCS 2016 Proceedings
ISBN-10 981-10-3770-1 / 9811037701
ISBN-13 978-981-10-3770-2 / 9789811037702
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