Computer and Information Science (Studies in Computational Intelligence)
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Description
This edited book presents scientific results of the 13th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2014) which was held on June 4-6, 2014 in Taiyuan, China. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rigorous rounds of review. This publication captures 14 of the conference’s most promising papers, and we impatiently await the important contributions that we know these authors will bring to the field of computer and information science. Foreword Contents Contributors 1 A New Method of Breakpoint Connection for Human Skeleton Image 1 Introduction 2 Image Preprocessing 3 Basic Elements 3.1 Neighborhood Layer 3.2 Upper Left Neighborhood and Lower Right Neighborhood 3.3 Breakpoint Type 3.4 Available Connection Point 4 Breakpoint Connection Function 4.1 ΔW = 0 4.2 ΔW neq 0 5 Procedure of Breakpoint Connection 5.1 Search Skeleton Breakpoint 5.2 Search Available Connection Point 5.3 Connect Breakpoint 6 Experimental Results 7 Conclusion References 2 Insult Detection in Social Network Comments Using Possibilistic Based Fusion Approach 1 Introduction 2 Fusion Based on Possibilistic Context Extraction 3 Experiments 4 Conclusion References 3 What Information in Software Historical Repositories Do We Need to Support Software Maintenance Tasks? An Approach Based on Topic Model 1 Introduction 2 Background 2.1 Software Historical Repositories 2.2 Topic Model 3 Approach 3.1 Extracting Related Information from Bug Repositories and Communication Archives 3.2 Extracting Related Information from Source Control Repositories 4 Evaluation 4.1 Empirical Setup 4.2 Empirical Results 5 Conclusion and Future Work References 4 Evaluation Framework for the Dependability of Ubiquitous Learning Environment 1 Introduction 2 Ubiquitous Learning Scenario Challenges 3 What Can We Evaluate in Ubiquitous Learning Scenario? 4 Evaluation of Ubiquitous Learning Scenarios: Related Works and Issues 5 ReStart-Me: A Formal Evaluation Framework For U-Learning 5.1 ReStart-Me Challenges 5.2 Conceptual Framework 6 Experiment and Results 6.1 Case Study 6.2 Modelisation and Evaluation 6.3 Results and Discussion 7 Conclusion References 5 Improving Content Recommendation in Social Streams via Interest Model 1 Introduction 2 Related Work 3 Multiaspect Similarity of Interest 3.1 Interest Model 3.2 Tie-Strength 3.3 Calculate Scores 4 Dataset and Experiment 5 Discuss 5.1 Followees Division 5.2 Interest Model and Tie-Strength 5.3 Stability of Algorithms 6 Conclusion and Future Work References 6 Performance Evaluation of Unsupervised Learning Techniques for Intrusion Detection in Mobile Ad Hoc Networks 1 Introduction 2 Related Work 3 Attacks on the AODV Routing Protocol 3.1 An Overview of AODV Routing Protocol 3.2 Classification of Attacks 4 Unsupervised Learning Techniques 4.1 Clustering Techniques 4.2 Principal Component Analysis 4.3 One-Class SVM 5 Experiments 5.1 Features Selection 5.2 Experiment Overview 5.3 Experiment Setup 5.4 Experimental Results 6 Conclusions References 7 Live Migration Performance Modelling for Virtual Machines with Resizable Memory 1 Introduction 2 Related Works 3 Model of Live Migration 4 Live Migration on Xen 5 Performance Measurement and Discussion 5.1 Bounds on Live Migration 5.2 Live Migration Under Reading Access 5.3 Memory Resizing 6 Conclusion References 8 A Heuristic Algorithm for Workflow-Based Job Scheduling in Decentralized Distributed Systems with Heterogeneous Resources 1 Introduction 2 Basic Definitions and MLTH Problem 3 A Heuristic Algorithm for the MLTH Problem 3.1 Local Algorithm 3.2 Interconnect Algorithm 4 Evaluation 4.1 Simulation Setup 4.2 Result 5 Conclusion and Future Work References 9 Novel Data Integrity Verification Schemes in Cloud Storage 1 Introduction 2 Related Work 3 The Novel Schemes 3.1 DIV-I Scheme 3.2 DIV-II Scheme 4 Experiment and Analysis 4.1 Experiment Environment and Assumptions 4.2 Results and Analysis 5 Conclusion and Future Work References 10 Generation of Assurance Cases for Medical Devices 1 Introduction 2 Assurance Case and Its GSN Notation 3 Development Process for GIIP 4 Related Work 5 Conclusion and Future Work References 11 A Survey on the Categories of Service Value/Quality/Satisfactory Factors 1 Introduction 2 Emprical Collection of Factors 3 Organization of the Categories 3.1 Classification According to ``Consistent'' Versus ``Balanced'' 3.2 Under ``Consistent'' Category: Classification According to ``Normal Environment'' Versus ``(Plus) Service Network'' 3.3 Under ``Normal Environment'' Category: Classification According to ``Content Related and Quality'' Versus ``Extension on Restrictions and Output'' 3.4 Under ``Content Related and Quality'' Category: Classification According to ``Service Set'' Versus ``Service System'' 3.5 Under ``Service System'' Category: Classification According to ``Information'' Versus ``Functional'' 3.6 Under ``Service Set'' Category: Classification According to ``Service Content'' Versus ``Service Implementation'' 3.7 Under ``Service Content'' Category: Classification According to ``Basic'' Versus ``Supplement'' 3.8 Under ``Basic'' Category: Classification According to ``Description & Creation'' Versus ``Observation & Extension'' 3.9 Under ``Description & Creation'' Category: Classification According to ``Proactive'' Versus ``Passive'' 4 Conclusion and Future Work References 12 Effective Domain Modeling for Mobile Business AHMS (Adaptive Human Management Systems) Requirements 1 Introduction 2 Related Works 2.1 Software Product Line (SPL) for Mobile 2.2 Variability and Documentation 2.3 OVM, A Closer Look 3 Mobile Business Domain Modeling (MBDM) 3.1 MBDM Domain Definition 3.2 Domain Modeling 3.3 Domain Design 4 Conclusion and Future Work References 13 A New Modified Elman Neural Network with Stable Learning Algorithms for Identification of Nonlinear Systems 1 Introduction 1.1 Literature Review 1.2 Contributions 1.3 Paper Organization 2 New Modified Elman Neural Network (OIFHO ENN) 3 Convergence of Output to Input Feedback, Hidden to Output Elman Neural Network (OIFHO ENN) 4 Simulation Results 4.1 Application to Model I 4.2 Application to Model II 4.3 Application to Model III 4.4 Application to Model IV 5 The Identification Error 6 Conclusion References 14 A Simple Model for Evaluating Medical Treatment Options 1 Introduction 2 Conceptual Model for Evaluating Treatment Options 3 Formal Model 4 An Example 5 Model Behaviour 6 Alternative Approaches 7 Model Implementation in Psychiatry 8 Conclusion References Author Index
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