Innovations in computing sciences and software engineering / monograph

Innovations in Computing Sciences and Software Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences. Topics Covered: • Image and Pattern Recognition : Compression, Image processing, Signal Processing Architectures, Signal Processing for Communication, Signal Processing Implementation, Speech Compression, and Video Coding Architectures. • Languages and Systems : Algorithms, Databases, Embedded Systems and Applications, File Systems and I/O, Geographical Information Systems, Kernel and OS Structures, Knowledge Based Systems, Modeling and Simulation, Object Based Software Engineering, Programming Languages, and Programming Models and tools. • Parallel Processing : Distributed Scheduling, Multiprocessing, Real-time Systems, Simulation Modeling and Development, and Web Applications. • Signal and Image Processing : Content Based Video Retrieval, Character Recognition, Incremental Learning for Speech Recognition, Signal Processing Theory and Methods, and Vision-based Monitoring Systems. • Software and Systems : Activity-Based Software Estimation, Algorithms, Genetic Algorithms, Information Systems Security, Programming Languages, Software Protection Techniques, Software Protection Techniques, and User Interfaces. • Distributed Processing : Asynchronous Message Passing System, Heterogeneous Software Environments, Mobile Ad Hoc Networks, Resource Allocation, and Sensor Networks. • New trends in computing : Computers for People of Special Needs, Fuzzy Inference, Human Computer Interaction, Incremental Learning, Internet-based Computing Models, Machine Intelligence, Natural Language. Preface Acknowledgements Contents Reviewers List Recursive Projection Profiling for Text-Image Separation I. Introduction II. Projection Profiling III. Recursive Projection Profiling IV. Text-Image Separation V. The Skew Problem VI. Enhancements VII. Conclusion REFERENCES Risk in the Clouds?: Security Issues Facing Government Use of Cloud Computing I. INTRODUCTION A. The “Cloud” B. The Growth of the Cloud C. Cloud Computing and Government IT II. SECURITY CONCERNS FOR PUBLIC SECTOR IT III. CONCLUSION REFERENCES Open Source Software (OSS) Adoption Framework for Local Environment and its Comparison I. INTRODUCTION II. FRAMEWORK FOR OSS ADOPTION A. Intrinsic Factors 1) Economical Feasibility 2) Operational Feasibility B. External Factors C. Individual Factors D. Technological Factors III. ORDER OF ADOPTION IV. COMPARISON OF PROPOSED FRAMEWORK FACTORS WITH EXISTING FRAMEWORK FACTORS A. Differences in Intrinsic Factors B. Differences in Technological Factors C. Differences in External Factors D. Differences in Individual Factors V. CONCLUSION REFERENCES Ubiquitous Data Management in a Personal Information Environment 1. Introduction 2. Background of Data Distribution 3. PIE - Unleashed 4. Design of a Self-Manageable PIE 5. Contributions and Future Work 6. Conclusion References Semantics for the Asynchronous Communication in LIPS, a Language for Implementing Parallel/distributed Systems Abstract I. INTRODUCTION II. PRIMITIVES AND COMMUNICATION SCHEMA FOR THE ASYNCHRONOUS MESSAGE PASSING IN THE LIPS A. Syntactic Categories for AsynchronousCommunication III. STRUCTURAL OPERATIONAL SEMANTICS (SOS) FOR THE ASYNCHRONOUS COMMUNICATION IV. CONCLUSION Separation of Concerns in Teaching Software Engineering 1 INTRODUCTION 2 SOFTWARE PROCESSES; ACTIVITIES ANDMODELS 3 PEOPLE, THE SOFTWARE PROJECTRESOURCES 5 TOOLS, THE PEOPLE HELPERS 4 THE SOFTWARE PRODUCT, THE GOAL OF THE SOFTWARE PROJECT 6 THE SOFTWARE PROJECT; THE UMBRELLA THAT COVERS ALL VIEWS 7 CONCLUSION 8 REFERENCES Authors’ information Student Model Based On Flexible Fuzzy Inference I. INTRODUCTION II MODEL DESIGN III FUZZY INFERENCE IV MEMBERSHIP FUNCTIONS V IMPLEMENTATION VI ADVANTAGES OF FLEXIBLE FUZZY INFERENCE VII SYSTEM EVALUATION VIII CONCLUSION REFERENCES PlanGraph: An Agent-Based Computational Model for Handling Vagueness in Human-GIS Communication of Spatial Concepts I. INTRODUCTION II. THE PLANGRAPH MODEL A. Structure B. Actions and Recipes Knowledge C. Mental States D. Reasoning Algorithms III. HANDLING VAGUENESS IN HUMAN-GIS DIALOGUE IV. CONCLUSION AND FUTURE WORK ACKNOWLEDGMENT REFERENCES Risk-Based Neuro-Grid Architecture for Multimodal Biometrics I. INTRODUCTION II. GRID INFORMATION SERVICES IN BIOMETRICS III. MULTIMODAL BIOMETRIC FUSION USING NEURAL NETWORKS A. Complexities of Multimodal Biometric Fusion B. Neural Network-Based Feature Extraction C. Neural Network-Based Multimodal Fusion Scheme IV. RISK-BASED BIOMETRIC NEURO-GRID ARCHITECTURE A. Biometric Client Application Layer B. High-level and Multimodal Biometric Services C. Neuro-Grid (Globus) Infrastructure D. Neuro-Grid Data Management Servers V. CONCLUSIONS AND FUTURE WORK REFERENCES A SQL-Database Based Meta-CASE System and its Query Subsystem I. INTRODUCTION II. RELATED WORK III. A WEB-BASED AND DATABASE-BASED META-CASE SYSTEM IV. QUERY SUBSYSTEM V. CONCLUSIONS REFERENCES An Intelligent Control System Based on Non-Invasive Man Machine Interaction I. INTRODUCTION II. AN INTELLIGENT ROBOT MOTION CONTROLSUBSYSTEM III. HUMAN COMPUTER INTERACTIONS IN THE SYSTEM A. Emotion Recognition and Data Mining Subsystem B. Smoothing Method C. Data Analysis D. Prediction of SC Parameters Using MLP IV. RESULTS AND DISCUSSION A. Smoothing of SC Signals B. Clustering of SC Parameters Using SOM C. Prediction of Emotional States from SC Parameters Using MLP D. Reasoning Algorithms Used by Human Arousal Recognition Agents CONCLUSION REFERENCES A UML Profile for Developing Databases that Conform to the Third Manifesto I. INTRODUCTION II. A UML ORTTM PROFILE A. Stereotypes of Class B. Stereotypes of Attribute C. Stereotypes of Operation D. Other Extensions III. DEVELOPMENT OF A NEW PROFILE IV. PROBLEMS DURING THE PROFILE DEVELOPMENT V. AN EXAMPLE OF USING THE PROFILE VI. CONCLUSIONS REFERENCES Investigation and Implementation of T-DMB Protocol in NCTUns Simulator I. INTRODUCTION II. OVERVIEW OF DAB TRANSMISSION SYSTEM III. OVERVIEW OF NCTUNS SIMULATOR IV. IMPLEMENTATION MODEL V. CONCLUSION AND FUTURE WORK. REFERENCES Empirical Analysis of Case-Editing Approaches for Numeric Prediction I. INTRODUCTION A. Background II. EXPERIMENTAL METHODOLOGY III. CBR EXPERIMENTS A. Initial Experiments B. Fuzzy Agreement Experiments C. Greedy Hill Climbing Experiments IV. DISCUSSION AND CONCLUSIONS REFERENCES Towards a Transcription System of Sign Language for 3D Virtual Agents I. INTRODUCTION II. RELATED WORK A. Stokoe B. SignWriting C. HamNoSys III. TRANSCRIPTION A. Xml and diagrams B. Notation IV. TRANSCRIPTION EXAMPLES V. CONCLUSION REFERENCES Unbiased Statistics of a Constraint Satisfaction Problem – a Controlled-Bias Generator I. INTRODUCTION II. MINIMAL INSTANCES III. ZT-WHIPS AND THE ASSOCIATED MEASURE OF COMPLEXITY A. zt-whips in a general CSP B. The ZT measure of complexity C. First statistical results for the Sudoku nrczt-whips IV. STANDARD TOP-DOWN AND BOTTOM-UP GENERATORS A. The classical bottom-up and top-down generators [12] C. Existence of a bias and a (weak) correlation V. A CONTROLLED-BIAS GENERATOR A. Definition of the controlled-bias generator B. Analysis of the controlled-bias generator C. Computing unbiased means and standard deviations using a controlled-bias generator D. Implementation, experimentations and optimisations of the controlled-bias generator V. COMPARISON OF RESULTS FOR DIFFERENT GENERATORS A. Complexity as a function of the generator B. Number-of-clues distribution as a function of the generator VI. STABILITY OF THE CLASSIFICATION RESULTS A. Insensivity of the controlled-bias generator to the source of complete grids B. Insensivity of the classification results to the choice of whips or braids VII. COLLATERAL RESULTS VIII. CONCLUSION REFERENCES Factors that Influence the Productivity of Software Developers in a Developer View I. INTRODUCTION II. RELATED WORKS ON PRODUCTIVITY IN THE SOFTWARE INDUSTRY A. Systematic Review B. Main Identified Factors III. SURVEY IV. RESULTS A. Profile of Surveyed Companies B. Profile of Surveyed Professionals C. Factors that have High Positive Influence (HPI) D. Factors with No Influence on Productivity (NI) E. Factors that have High Negative Influence (HNI) on Productivity F. Most Important Factors and What Influences Them V. COMPARISON OF THE SURVEY WITH THE LITERATURE VI. CONCLUSION A ND FUTURE WORKS REFERENCES Algorithms for Maintaining a Consistent Knowledge B ase in D istributed Multiagent Environments Abstract 1. Introduction 2. Logic and knowledge base 3. Inference Process 3.1 Operations on the knowledge base 3.2 Purposeful reasoning 4. Conclusion 5. References Formal Specifications for a Document Management Assistant I. INTRODUCTION II. DYNAMIC REASONING SYSTEMS III. FIRST-ORDER LOGIC IV. APPLICATION TO DOCUMENT CLASSIFICATION REFERENCES Towards a Spatial-Temporal Processing Model I. INTRODUCTION II. PROBLEM SPACE III. DESIGN PATTERNS IV. TEMPORAL PROCESSING V. SYSTEM ARCHITECTURE VI. CONCLUSION REFERENCES Structure, Context and Replication in a Spatial- Temporal Architecture I. INTRODUCTION II. CACHING III. COG MODEL IV. SUMMARY REFERENCES Service Oriented E-Government I. INTRODUCTION A Starting Situation B Purpose of the Article C Research Approach D Structure of the Article II. PROJECT OBJECTIVES III. HOLISTIC ADMINISTRATION MANAGEMENT MODEL IV. APPROACH A Stakeholder Oriented Organizational Objectives B Process Analysis and Process / Service Improvement C Resource Management D Continually Improvement E System Documentation F IT Implementation V. PROJECT EXPERIENCES AND RESULTS A Achieving the Project Objectives B Success Factors and Social Aspects VI. OUTLOOK VII. CONCLUSION REFERENCES Fuzzy-rule-based Adaptive Resource Control for Information Sharing in P2P Networks I. INTRODUCTION II. RELATED WORK III. SYSTEM ARCHITECURE IV. FUZZY MODEL A. Fuzzy Model of Uncertainty B. Fuzzy Representation of Uncertainty C. Fuzzy Enforcement V. TRUSTWORTHINESS BWTWEEN PEOPLE VI. PROTOTYPE SYSTEM A. User Interface VII. A CASE STUDY AND EXPERIMENTS A. Experiments on Different Policy Sets B. Experiment on Dynamic User Behaviors VIII. CONCLUSION REFERENCES Challenges in Web Information Retrieval I. INTRODUCTION II. INFORMATION RETRIEVAL ON THE WEB SEARCHES III. AN APPROACH OF RETRIEVAL IN USENET ARCHIVE IV. ARCHITECTURE OF SEARCH ENGINE V. WORLD'S LARGEST COLLECTION OF WEB DOCUMENTS VI. SURVEY INTERPRETATIONS VII. CONCLUSIONS REFERENCES An Invisible Text Watermarking Algorithm using Image Watermark I. INTRODUCTION II. PREVIOUS WORK A. An Image-Based Approach B. A Syntactic Approach C. A Semantic Approach D. A Structural Approach III. PROPOSED ALGORITHM A. Embedding Algorithm B. Extraction Algorithm IV. EXPERIMENTAL RESULTS V. CONCLUSION ACKNOWLEDGMENT REFERENCES A Framework for RFID Survivability Requirement Analysis and Specification I. INTRODUCTION II. RELATED WORK III. AN EXAMPLE RFID SYSTEM A. RFID Critical Services IV. THREAT MODELING AND RISK MANAGEMENT A. Characterizing the system B. Identifying Assets and Access Points C. Identifying Threats D. Risk Management V. MAPPING THREATS TO SURVIVABILITY REQUIREMENTS VI. CONCLUSION ACKNOWLEDGEMENT REFERENCES The State of Knowledge Management in Czech Companies I. INTRODUCTION II. KNOWLEDGE MANAGEMENT AND THE PRESENT TIME III. RESEARCH OF THE STATE OF KNOWLEDGEMANAGEMENT IN CZECH COMPANIES IV. ANALYSIS OF ANSWERS OF RESPONDENTS Crucial knowledge in organisations Acquiring and sharing knowledge Barriers of knowledge management V. SUMMARY OF THE QUESTIONNAIRE SURVEY VI. THE SELECTED INFORMATION AND COMMUNICATION TECHNOLOGIES FOR KNOWLEDGE MANAGEMENT Set-up of an implementation team Analysis of the initial state Creation of a knowledge strategy Implementation of activities of knowledge management VII. CONCLUSION REFERENCES A Suitable Software Process Improvement Model for the UK Healthcare Industry I. INTRODUCTION II. CURRENT SPIMODELS III. BASED MODEL SELECTION A. Primary focus B. Adaptability and extendibility IV. DEVELOPMENT REQUIREMENTS FOR HEALTHCARE SPI MODEL V. CONCLUSIONS AND FUTURE WORK REFERENCES Exploring User Acceptance of FOSS: The Role of the Age of the Users I. INTRODUCTION II. TAM METHODOLOGY AND HYPOTHESIS. III. SAMPLE INFORMATION AND PRELIMINARY ANALYSIS IV. ANALYSIS AND FINDINGS V. RESEARCH MODEL TEST VI. DISCUSSIONS REFERENCES GFS Tuning Algorithm Using Fuzzimetric Arcs I. INTRODUCTION II. FUZZIMETRIC ARCS AND GFS III. FUZZY INFERENCE ENGINE (FIE) USING FUZZIMETRIC ARCS AS THE DESIGN STRUCTURE III.1- FUZZIFICATION COMPONENT III.2. KNOWLEDGE/RULE-SETS DEFINITION COMPONENT III.3- FUZZY INFERENCE A ND DE-FUZZIFICATION COMPONENT References: Multi-Step EMG Classification Algorithm for Human-Computer Interaction I. INTRODUCTION II. METHODS AND MATERIALS A. Electrode placement for the HCI system B. Hardware Components of the EMG system C. The Classification Algorithm III. TESTING IV. RESULTS V. DISCUSSION VI. CONCLUSION ACKNOWLEDGEMENTS REFERENCES Affective Assessment of a Computer User through the Processing of the Pupil Diameter Signal I. INTRODUCTION II. SIGNAL MONITORING A. Software Development B. Hardware Setup C. Experimental Procedure III. SIGNAL PROCESSING A. Physiological Signal Processing B. Feature Extraction and Data Norma IV. AFFECTIVE ASSESSMENT WITH SVM V. DISSCUSSION VI. CONCLUSION ACKNOWLEDGMENTS REFERENCES MAC, A System for Automatically IPR Identification, Collection and Distribution I. INTRODUCTION II. MUSIC RELATED RIGHTS MANAGEMENT SOCIETIES III. THEMUSIC ACTIVE CONTROL SYSTEM A. MAC Audio and Metadata Grabber B. MAC.box IV. THEMAC SYSTEM AND AUDIO-FINGERPRINTING V. AUDIO FINGERPRINTING BASED ON SVD VI. TESTS AND RESULTS VII. CONCLUSIONS REFERENCES Testing Distributed ABS System with Fault Injection I. INTRODUCTION II. SPECIFICATION OF THE TEST BED A. System Structure B. Distributed Task Model C. ABS Controller Model D. Environment Model III. EXPERIMENTAL RESULTS A. Experiment Set-up B. Results for Random Fault Injections C. Selective Fault Injections IV. CONCLUSIONS ACKNOWLEDGMENT REFERENCES Learning Based Approach for Optimal Clustering of Distributed Program's Call Flow Graph I. INTRODUCTION II. LEARNING AUTOMATA III. PROPOSED SEARCHING ALGORITHM FOR OPTIMALCLUSTERING OF CALL FLOW GRAPH A. Showing clustering by learning automata B. Penalty and reward operators C. Determining amount of yielding concurrency from a given clustering IV. PROPOSED METHOD EVALUATION V. CONCLUSION REFERENCES Fuzzy Adaptive Swarm Optimization Algorithm for Discrete Environments 1- INTRODUCTION 1.1 The Traveling Salesman Problem 1-2 overview of PSO Algorithm 1-3 Fuzzy set and systems 2. Adaptive fuzzy discrete PSO optimization 2.1 algorithm overview 2.3 Adaptive fuzzy discrete PSO optimization algorithm 2.3.1 Initialize population 2.3.2 Updating velocity and position 2.3.3 Particles ranking 2.3.4 Diversity computing 2.3.5 Problem Fuzzification 2.3.6 Fuzzy inference engine 3. Applications: Travelling Salesman Problem (TSP) Conclusion References Project Management Software for Distributed Industrial Companies INTRODUCTION PROPOSED SOFTWARE SOLUTION MAIN FEATURES OF THE APPLICATION CONCLUSIONS ACKNOWLEDGMENTS REFERENCES How to Construct an Automated Warehouse Based on Colored Timed Petri Nets I. INTRODUCTION II. SYSTEM DESCRIPTION AND BEHAVIOR ANALYSISE A. Hierarchical Control Structure B. The Workflow of Resource Controller C. The Behavior of Active Resources III. MODELING OF THE SYSTEM VIA CTPN A. The approach of CTPN modeling the system B. Modeling the Behaviors of Active Resources IV. IMPLEMENTING MODEL OF CTPN WITH VC++ V. CONCLUDING REMARKS REFERENCES Telecare and Social Link Solution for Ambient Assisted Living Using a Robot Companion with Visiophony I. INTRODUCTION II. PROJECT OVERVIEW A. Existing Platform B. Initial Choices C. Current Solution III. TECHNICAL DRIVERS A. User Interface B. Video Codec 1. Networking 2. Processing Power 3. Options C. Robot Control 1. Sending commands over the voice channel 2. Sending commands over a third channel IV. ISSUES REMAINING TO ADDRESS A. Video B. Robot connection : WiFi V. CONCLUSION AND OUTLOOK ACKNOWLEDGMENT REFERENCES Contextual Semantic: A Context-aware Approach for Semantic Web Based Data Extraction from Scientific Articles I. INTRODUCTION II. SEMANTIC WEB III. CONTEXT AWARE SYSTEMS IV. SAMPLE CASE V. SEMANTIC CONTEXTUAL WEB VI. CONTEXT INTELLIGENCE ENGINE A. Knowledge Base B. Semantic Context Acquisition Engine C. Clustering and Patterns Identifier D. Context Intelligence Module VII. CONCLUSION REFERENCES Motivating Company Personnel by Applying the Semi-self-organized Teams Principle I. INTRODUCTION II. MATERIAL AND NON MATERIAL MOTIVATING TECHNIQUES:WHY DOWE CARE? III. SEMI-SELF-ORGANIZED TEAMS IV. SELF ORGANIZED VS. SEMI-SELF-ORGANIZED TEAMS V. SEMI-SELF-ORGANIZED TEAMS FRAMEWORK VI. GUIDELINES ON EXECUTING SEMI-SELF-ORGANIZED TEAMS VII. CONCLUSION REFERENCES Route Advising in a Dynamic Environment – A High-Tech Approach I. INTRODUCTION II. ROUTE ADVISING – CURRENT APPROACHES III. TECHNOLOGIES USED IV. THE ROUTE ADVISING SYSTEM V. EVALUATION VI. CONCLUSIONS AND FUTURE WORK REFERENCES Building Security System Based on Grid Computing To Convert and Store Media Files I. INTRODUCTION II. SECURITY IN GRID APPLICATIONS A. Security issues with an Grid application B. GridMediaSystem Introduction C. Detail functions III. EXPERIMENT ENVIRONTMENT A. Experiment Grid Environment B. Performance Results C. Testing Results D. Future Work ACKNOWLEDGMENT REFERENCES A Tool Supporting C code Parallelization I. INTRODUCTION II. CODE PARALLELIZATION A. Compiler B. User interface C. Control Flow graph III. EXAMPLES IV. CONCLUSIONS REFERENCES Extending OpenMP for Agent Based DSM on GRID I. INTRODUCTION II. RELATEDWORKS III. AGENT BASED OPTIMIZATIONS A. Privatization optimization B. Page Placement and data Distribution on the nodes C. Overlapping data communication with computation IV. AN AGENT BASED OPENMP PROGRAMMING FOR GRID COMPUTING A. Agents as the main concept B. Transparency of data access V. AOMPG DIRECTIVES VI. PERFORMANCE EVALUATION A. Gridsim toolkit B. Simulation results VII. CONCLUSIONS REFERENCES Mashup – Based End User Interface for Fleet Monitoring I. INTRODUCTION II. RELATED WORK III. GENERAL PRESENTATION OF THE MASHUP MODULE IV. THE PROPOSED SOLUTION V. CONCLUSIONS REFERENCES The Performance of Geothermal Field Modeling in Distributed Component Environment I. INTRODUCTION II. COMPONENT TECHNOLOGIES III. TEST ENVIRONMENT AND APPLICATIONS A. Hardware specification B. Used Operating Systems and Component Environments IV. HEAT TRANSFER MODELING A. Basics of heat transfer modeling B. An experimental model C. Serial case D. Parallel case V. DISCUSSION VI. SUMMARY ACKNOWLEDGMENT REFERENCES An Extension of Least Squares Methods for Smoothing Oscillation of Motion Predicting Function I. INTRODUCTION II. ANALYSIS OF MOTION PREDICTION TECHNIQUES A. Difference approach and mass center tracing B. Least squares method III. PROPOSED TECHNIQUE FOR MOTION PREDICTION IV. EXPERIMENTS AND DISCUSSION V. CONCLUSION ACKNOWLEDGMENT REFERENCES Security of Virtualized Applications: Microsoft App-V and VMware ThinApp I. INTRODUCTION AND RELATED WORKS II. VIRTUALIZED APPLICATIONS III. ATTACK SURFACES IN VIRTUALIZATION ENVIRONMENTS IV. VIRTUALIZED APPLICATION SECURITY IN PARTIALLY SANDBOXED ENVIRONMENTS A. Normal User Account B. Administrative Account V. VIRTUALIZED APPLICATION SECURITY IN SANDBOXED ENVIRONMENTS VI. CONCLUSION REFERENCES Noise Performance of a Finite Uniform Cascade of Two-Port Networks I. INTRODUCTION II. NETWORK MODEL A. Example of a resistive ladder element B. Example of a low-pass ladder element III. CHARACTERIZATION OF THE N-BLOCK TRNAMISSION MATRIX A. Example of a resistive ladder element B. Example of a low-pass ladder element IV. NOISE PERFORMANCE V. VOLTAGE GAIN VI. SUMMARY AND CONCLUSIONS REFERENCES Evaluating Software Agent Quality: Measuring Social Ability and Autonomy I. INTRODUCTION II. RELATED WORK III. SOFTWARE AGENT CHARACTERISTICS AND ATTRIBUTES IV. MEASURES FOR THE ATTRIBUTES OF SOCIAL ABILITY AND AUTONOMY A. Social Ability B. Autonomy V. CASE STUDY VI. CONCLUSIONS AND FUTURE WORK REFERENCES An Approach to Measuring Software Quality Perception I. INTRODUCTION AND MOTIVATION A. Motivation B. Background C. The software quality perception model II. THE EXPERIMENT’S REQUIREMENTS A. Measuring objectives B. Controllable environment C. Subjects D. Remaining boundaries III. PROPOSED APPROACH A. Research framework tool B. Scenarios C. Analysis methods D. Compliance IV. CONCLUSION V. REFERENCES Automatically Modeling Linguistic Categories in Spanish I. INTRODUCTION II. MAIN APPROACH III. THE PROTOTYPE IV. CASE STUDY V. CONCLUSION AND FUTURE WORK VI. REFERENCES Efficient Content-based Image Retrieval using Support Vector Machines for Feature Aggregation I. INTRODUCTION II. FEATURES AND ASSOCIATED DISTANCE MEASURES A. Color Histogram B. Color Moments C. Tamura Histogram D. SIFT Histogram E. MPEG 7 Visual Descriptors III. FEATURE AGGREGATION A. Normalization of the Distances B. Scoring of Distances using Relevance Feedback and SVM IV. BENCHMARK DATABASE FOR CBIR V. RETRIEVAL METRIC VI. EXPERIMENTAL RESULTS VII.CONCLUSIONS REFERENCES The Holistic, Interactive and Persuasive Model to Facilitate Self-care of Patients with Diabetes Abstract Keywords I. INTRODUCTION II. COGNITIVE PSYCHOLOGY III. EMOTIONAL DESIGN IV. TECHNOLOGY PERSUASIVE V. HOLISTIC, INTERACTIVE AND PERSUASIVE TO FACILITATE THE SELF-CARE OF PATIENTS WITH DIABETES (IPAPD) VI.CONCLUSIONS REFERENCES Jawi Generator Software Using ARM Board Under Linux I. INTRODUCTION II. OBJECTIVES III. METHODOLOGY A. System Design B. Operating System C. System Test IV. CURRENT RESULT V. RELATED WORK VI. CONCLUSION & FUTURE WORK ACKNOWLEDGEMENT REFERENCES Efficient Comparison between Windows and Linux Platform Applicable in a Virtual Architectural Walkthrough Application I. INTRODUCTION II. SOFTWARE AND HARDWARE SPECIFICATIONS III. DESIGN AND IMPLEMENTATION A. Modeling Phase B. Precomputation Phase IV. PERFORMANCE TARGETS A. Frame Rate B. Image Quality C. Mouse Motion V. EVALUATION METHODS A. Frame Rate B. Image Quality C. Mouse Motion VI. EXPERIMENTS AND RESULTS A. Frame Rate B. Image Quality C. Mouse Motion VII. CONCLUSION ACKNOWLEDGMENT REFERENCES Simulation-Based Stress Analysis for a 3D Modeled Humerus-Prosthesis Assembly I. INTRODUCTION II. MODELING THE HUMERAL ENDOPROSTHESIS A. Humerus 3D model B. Modeling the humeral endoprosthesis C. Creating the humerus-prosthesis assembly model III. ANALYSIS OF MECHANICAL PROPERTIES IV. CONCLUSION REFERENCES Chaos-Based Bit Planes Image Encryption I. INTRODUCTION II. METHODS A. Chaos and strange attractors B. Bit planes C. Image encryption scheme III. EXPERIMENTAL RESULTS AND SECURITY ANALYSES IV. CONCLUSION ACKNOWLEDGMENT REFERENCES FLEX: A Modular Software Architecture for Flight License Exam I. INTRODUCTION II. AMODULAR SOFTWARE ARCHITECTURE FOR PROPOSED FLIGHT LICENSE EXAM FLEX SYSTEM III. WHY FLEX SYSTEM SHOULD BE PREFERRED A. Security B. Modularity C. Flexibility D. User Friendly E. Web based IV. FLEX TECHNOLOGIES A. LAMP Architecture B. CMS - Content Management System V. COMPLETE SYSTEM ARCHITECTURE OF FLEX VI. CONCLUSIONS REFERENCES Enabling and Integrating Distributed Web Resources for Efficient and Effective Discovery of Information on the Web I. INTRODUCTION II. INFORMATION DISCOVERY CHALLENGES ON THE WEB III. POSSIBLE SOLUTIONS A. Directory based search B. Federated search C. Consolidated Metadata repository based search IV. METADATA CREATION AND MANAGEMENT FOR WEB RESOURCES V.METADATA REPLICATION SERVICE VI.METADATA HARVESTING AND CONSOLIDATION VII. METADATA REPOSITORY STORAGE A. RDBMS based Metadata Repository A. XML repositories for metadata storage B. RDF repositories for storing metadata VIII. CONCLUSION AND FUTURE WORK ACKNOWLEDGEMENT REFERENCES Translation from UML to Markov Model: A Performance Modeling Framework I. INTRODUCTION II. RELATED WORK III. UML TECHNIQUE OF PERFORMANCE MODELING IV. STEPS FOR BUILDING & EVALUATING THE PERFORMANCE MODEL (CTMC) FROM PROPOSED MODELING FRAMEWORK V. CONCLUSION REFERENCES A Comparative Study of Protein Sequence Clustering Algorithms I. INTRODUCTION II. CLUSTERING METHODS AND ALGORITHMS III. ALGORITHMS' COMPARISON IV. CONCLUSION References OpenGL in Multi-User Web-Based Applications I. INTRODUCTION II. VISUALIZATION TOOLS AND TECHNIQUE A. OpenGL B. DirectX and XNA C. Volume render III. WEB-BASED VISUALIZATION APPLICATION A. Concept B. Hardware and software requirements C. Construction of application D. The applications IV. PRELIMINARY TESTS A. Operating systems B. Software environment C. Hardware environment D. The tests V. DISCUSSION VI. FUTURE WORK AND OPTIONS VII. SUMMARY ACKNOWLEDGMENT REFERENCES Testing Task Schedulers on Linux System I. INTRODUCTION Testing for efficiency Testing for interactivity Testing under different loads Testing for scalability esting for fairness II. TEST FRAMEWORK ARCHITECTURE Defining worker tasks Defining interactive tasks Defining collaborative tasks Defining additional task properties Defining universal task III. SELECTING AND DEFINING TESTS IV. CONCLUSION REFERENCES Automatic Computer Overhead Line Design I. INTRODUCTION II. APPLICATION DESCRIPTION IV. SUMMARY AND CONCLUSION V. ACKNOWLEDGEMENT REFERENCES Building Test Cases through Model Driven Engineering I. INTRODUCTION II. OVERVIEW A. Software Test B. Model Driven Architecture (MDA) C. Model Driven Testing (MDT) D. UML 2.0 Testing Profile (U2TP) III. ANMDE APPROACH FOR GENERATING TEST CASES A. Proposed Methodology B. Proposed Metamodels B.1 Metamodel for Test (MT) B.2 xUnit Metamodel IV. PROTOTYPING A. Illustrative Example V. CONCLUSIONS ACKNOWLEDGMENT REFERENCES The Effects of Educational Multimedia for Scientific Signs in the Holy Quran in Improving the Creative Thinking Skills for Deaf Children I. INTRODUCTION II. EARLIER STUDIES III. METHODOLOGY IV. IMPLEMENTAION V. STATISTICAL ANALYSIS V. CONCLUSIONS REFERENCES Parallelization of Shape Function Generation for Hierarchical Tetrahedral Elements I. INTRODUCTION II. SOFTWARE III. TEST CASE IV. SERIAL GENERATION V. PARALLEL GENERATION V. TESTING METHOD VI. RESULTS VII. CONCLUSIONS REFERENCES Analysis of Moment Invariants on Image Scaling and Rotation I. INTRODUCTION II. MOMENT INVARIANTS III. MOMENT INVARIANTS AND IMAGE TRANSFORMATION A. Moment Invariants and Image Scaling B. Moment Invariants and Image Rotation IV. MOMENT INVARIANTS AND COMPUTATION V. CONCLUSION VI. ACKNOWLEDGEMENT REFERENCES A Novel Binarization Algorithm for Ballistics Firearm Identification I. INTRODUCTION II. MAJOR BINARIZATION TECHNIQUES III. ALGORITHM A. Algorithm B. Illustrating Examples 1) Smooth the original image. 2) Gray stretch. 3) Compute the global and local thresholds. 4) Binarization. 5) Remove noisy block. IV. EXPERIEMENTS A. Smaple Images B. Results and discussion. V. CONCLUSION VI. ACKNOWLEDGEMENT REFERENCES A Schema Classification Scheme for Multilevel Databases I. INTRODUCTION II. RELATED WORKS III. DATA MODEL A. Basic Model B. Integrity Properties C. Database Operations 1) CREATE RELATION 2) ADD ATTRIBUTES 3) INSERT 4) DELETE 5) SELECT 6) UPDATE IV. CONCLUSION V. REFERENCES Memory Leak Sabotages System Performance I. INTRODUCTION II. MEMORY LEAK SHOWCASE III. MEMORY LEAKAGE PREVENTION IV. EXPERIMENTS AND RESULTS V. CONCLUSION REFERENCES Writer Identification Using Inexpensive Signal Processing Techniques I. INTRODUCTION A. Problem Statement B. Proposed Solution C. Introduction to MARF II. METHODOLOGY A. Modified MARF’s Pipeline B. WriterIdentApp C. Resolution III. TESTING, EXPERIMENTS, AND RESULTS A. Setup B. Analysis IV. CONCLUSION A. Applications B. Future Work C. Improving Identification Accuracy ACKNOWLEDGMENTS REFERENCES Software Artifacts Extraction for Program Comprehension I. INTRODUCTION II. PROGRAM COMPREHENSION APPROACHES III. METHODOLOGY FOR COMPREHENSION IV EXPERIMENTAL EXAMPLES A. EXAMPLE 1 V. CONCLUSIONS REFERENCES Model-Driven Engineering Support for Building C# Applications I. INTRODUCTION II. MDA VISION AT WORK A. MDA basic concepts B. Background C. Principles of the approach III. SYSTEM REQUIREMENTS IV. T.O.F.I.C. SYSTEM A. Technology B. System Architecture V. APPLICATION OF THE SYSTEM A. Basic activity flow B. Model verification VI. CONCLUSIONS REFERENCES Early Abnormal Overload Detection and the Solution on Content Delivery Network I. INTRODUCTION II. THE RELATED RESEARCH RESULTS III. EARLY ABNORMAL OVERLOAD DETECTION SYSTEM A. Early Abnormal Overload Detection Mechanisms B. Early Abnormal Detection At Each Router C. Early Abnormal Detection in Autonomous System Domain D. Early Abnormal Detection On Inter AS Domains E. Load Reducing IV. TESTING AND EVALUATION V. CONCLUSION ACKNOWLEDGMENT REFERENCES ECG Feature Extraction using Time Frequency Analysis I. INTRODUCTION A. ECG Pattern B. Objectives II. METHODOLOGY A. R wave detection B. P and T wave detection C. Q and S wave detection III. RESULTS AND CONCLUSION ACKNOWLEGMENT REFERENCES Optimal Component Selection forComponent-Based Systems I. INTRODUCTION II. RELATED WORK III. PROBLEM FORMULATION A. Assumptions B. Representation C. Statement of Problem IV. SOLVING COMPONENT SELECTION PROBLEM AS MOP A. The Lexicographic Approach B. Optimizing Individual Objectives V. COMPUTATIONAL COMPLEXITY AND NP-HARDNESS A. The Case of Serial Interfaces VI. CONCLUDING REMARKS ACKNOWLEDGMENT REFERENCES Domain-based Teaching Strategy for Intelligent Tutoring System Based on Generic Rules I. INTRODUCTION II. DESIGN OF INSTRUCTIONAL STRATEGIES III. SELECTING INSTRUCTIONAL STRATEGIES IV. THE CURRICULUM DESIGN V. CONCLUSION REFERENCES Parallelization of Edge Detection Algorithm usingMPI on Beowulf Cluster I. INTRODUCTION II. EDGE DECTECTION ALGORITHM III. PARALLEL ALGORITHM DESIGN A. Partitioning B. Communication C. Agglomeration D. Mapping IV. PARALLEL PROGRAMMING PARADIGM V. PARALLEL EDGE DETECTION IMPLEMENTATION VI. BEOWULF CLUSTER VII. PERFORMANCE ANALYSIS A. Experimental setup B. Results VIII. CONCLUSION REFERENCES Teaching Physical Based Animation via OpenGL Slides I. INTRODUCTION II. RELATED WORK A. OpenGL Slides Framework (OGLSF) B. Softbody Simulation Framework and System III. METHODOLOGY IV. CONCLUSIONS AND FUTURE WORK A. Limitations B. Future Work ACKNOWLEDGMENTS REFERENCES Appraising the Corporate Sustainability Reports – Text Mining and Multi-Discriminatory Analysis I. INTRODUCTION II. LITERATURE REVIEW III. RESEARCH OBJECTIVES AND HYPOTHESIS IV. METHODOLOGY V. RESULTS AND DISCUSSION VI. LIMITATIONS AND CONCLUSION REFERENCES A Proposed Treatment for Visual Field Loss caused by Traumatic Brain Injury using Interactive Visuotactile Virtual Environment I. INTRODUCTION Vision Restoration Therapy Advantages of Visuomotor Restoration over Visual-only Restoration Rationale for using 3D Interactive Virtual Environment Technology in Vision Restoration Therapy Use of VE Technologies in Sensorimotor Rehabilitation An Exemplary Pilot Treatment Procedure for Vision Restoration Therapy using 3D Interactive VE The Main Stages of the Treatment Procedure CONCLUSION REFERENCES Adaptive Collocation Methods for the Solution of Partial Differential Equations I. INTRODUCTION II. NUMERICAL METHODS A. Method of Lines B. Adaptation Concept C. Dyadic Grids D. Numerical Algorithm III. GRID GENERATION A. Example 1 – Step Function B. Example 2 – TGH Function IV. SIMULATION EXPERIMENTS A. Model 1 – Advection Equation B. Model 2 – 1-D Burgers’ Equation V. CONCLUSIONS REFERENCES Educatio This book includes the proceedings of the 2009 International Conference on Systems, Computing Sciences and Software Engineering (SCSS). SCSS is part of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 09). The proceedings are a set of rigorously reviewed world-class manuscripts presenting the state of international practice in Systems, Computing Sciences and Software Engineering