Innovations in Computing Sciences and Software Engineering

✍ Scribed by Tarek Sobh (editor), Khaled Elleithy (editor)

• Publisher: Springer
• Year: 2010
• Tongue: English
• Leaves: 622
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

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
Educational Virtual Reality through a Multiview Autostereoscopic 3D Display
I. INTRODUCTION
II. PHILIPS 3D DISPLAY SPECIFICATIONS
III. ONE APPROACH TO THE PROBLEM
A. A Choice of 3D Graphic System
B. A Model of the environment of observation
C. Composition of the images
D. 3D display application
IV. THE APPLICATION IN EDUCATION
CONCLUSION
REFERENCES
An Approach for Developing Natural Language Interface to Databases Using Data Synonyms Tree and Syntax State Table
1. INTRODUCTION
1.1 Natural Language Interface to Databases Challenges
1.2 Organization
2. NL INTERFACE APPROACH
2.1 Data Synonyms Tree (DST)
2.2 Extracting SQL from NL Request
3. THE PROPOSED SYSTEM
3.1.1 Attribute Descriptions Table
3.1.2 Synonyms Table
3.1.3 Operator Semantic Table
3.2 System Description
3.2.1 Tokenizer
3.2.2. Synonyms Matcher
3.2.3. Sections Semantic Parser
3.2.4 Attribute Semantic Parser
3.2.5. SQL Generator
4. EXPERIMENTAL WORK AND ANALYSIS
4.1 System Performance
4.2 Intelligent Queries
4.3 Request Format
5. CONCLUSION
6. FUTURE WORK
ACKNOWLEDGMENT
REFERENCES
Analysis of Strategic Maps for a Company in the Software Development Sector
I. INTRODUCTION
II. STRATEGIC MAP BASED ON COMPENSATORY FUZZY LOGIC (CFL)
III. STRATEGIC MAP BASED ON ORGANIZATIONAL CULTURE
CONCLUSION
REFERENCES
The RDF Generator (RDFG) - First Unit in the Semantic Web Framework (SWF)
I. INTRODUCTION
II. BACKGROUND
III. THE SEMANTIC WEB FRAMWORK(SWF)
IV. THE RDF GENERATOR (RDFG)
1. Websites Classification
2. Websites Types Detection, and Suitable RDF Model Selection
3. Machine Learning System
4. RDFG Architecture
5. RDFG Web Service
V. CONCLUSION
REFERENCES
Information Technology to Help Drive Business Innovation and Growth
I. INTRODUCTION
II. INNOVATION IN DEMAND AND IT PORTFOLIO MANAGEMENT
A. IT Demand Types
III. THE INNOVATION
A. Scope of business innovation areas
1. IT-based business model innovation
2. IT-based organizational innovation
3. Operational innovation across business processes
4. Innovation for market penetration
B. The components of innovation
1. Innovation context
2. Innovation network
3. Self-financing processes
4. Defined and measurable processes
IV. INNOVATION LIFE CYCLE
A. Ideation
1. Define the idea.
B. Invention and discovery
1. Developing contextual issues at the executive level.
2. Creating innovation networks.
3. Encouraging corporate employees to visit the work sitedaily.
4. Incorporating new ideas with employees throughinternships, exchange, and outsourcing rotation.
C. Validation of the feasibility of an idea
1. Cultivate the proposed ideas.
2. Use mentors.
3. Investigate inventions.
4. Establish links.
D. Idea incubation and investment decision making
1. Be clear about the decision making process.
2. Communicate the selection criteria.
3. Provide virtual and real resources.
E. Implementation
1. Promote rapid prototyping.
F. Commercialization
1. Test with real customers.
2. Reassess assets portfolio.
G. Measurement
1. Provide metrics and a premium based on the measurablebusiness value.
2. Provide and seek awards that recognize achievements.
V. CONCLUSIONS
REFERENCES
A Framework for Enterprise Operating Systems Based on Zachman Framework
I. INTRODUCTION
II. BASIC CONCEPTS
A. Enterprise
B. Enterprise Architecture (EA)
C. Enterprise Operating System Architecture
D. Zachman Framework (ZF)
III. A FRAMEWORK FOR EOS
A. Data Column
B. Function Column
C. Network Column
D. People Column
E. Time Column
F. Motivation Column
IV. CONCLUSIONS
REFERENCES
A Model for Determining the Number of Negative Examples Used in Training a MLP
I. NEURAL NETWORKS
II. TRAINING NEURAL NETWORK
III. MATHEMATICAL MODEL FOR DETERMINING THE NUMBER OF NEGATIVE EXAMPLES USED FOR TRAINING A MLP
A. Letter, sonar and diabetes data analysis
B. Determining the model of the training process with negative examples
C. Determining a general model of the training process with negative examples
D. Testing the general model on a new database
IV. CONCLUSION
REFERENCES
GPU Benchmarks Based On Strange Attractors
I. INTRODUCTION
II. STRANGE ATTRACTORS
III. QUATERNIONS
IV. MARCHING CUBE ALGORITHM
V. OUR ALGORITHM
VI. CONCLUSION
REFERENCES
Effect of Gender and Sound Spatialization on Speech Intelligibility in Multiple Speaker Environment
I. INTRODUCTION
A. HRTF (Head Related Transfer Functions)
B. Measurement
C. Cocktail Party Effect
II. PROCEDURE
A. Recording
B. Listening Tests
III. RESULTS
IV. CONCLUSION
REFERENCES
Modeling Tourism Sustainable Development
I. SCIENCE AS A FOUNDATION FOR TOURISM SUSTAINABLE DEVELOPMENT
II. SYSTEM DYNAMICS AS A MODELING TOOL FORSUSTAINABLE DEVELOPMENT
III. MULTIDIMENSIONALITY OF TOURISMSUSTAINABLE DEVELOPMENT
IV. DECISION SUPPORT SYSTEMS (DSS)
V. SPATIO-TEMPORAL INFORMATION SYSTEMS
ACKNOWLEDGMENT
PI-ping - Benchmark Tool for Testing Latencies and Throughput in Operating Systems
I. INTRODUCTION
II. PI-PING BENCHMARK
III. TESTING ENVIRONMENT
A. Linux 2.6.22 with O(1) scheduler
B. Linux 2.6.28 with CFS scheduler
C. FreeBSD 7.1 with 4BSD scheduler
D. FreeBSD 7.1 with ULE scheduler
E. FreeBSD 6.3 with ULE scheduler
F. Hardware
IV. PI-PING RESULTS
V. HACKBENCH RESULTS
VI. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Towards Archetypes-Based Software Development
I. INTRODUCTION
II. ARCHETYPES BASED DEVELOPMENT
A. Example of ABD
B. ABD Process Model
C. Archetype Patterns
D. Archetype Patterns as the Meta-model
III. LIMS SOFTWARE AND LIMS SOFTWARE FACTORY
IV. CONCLUSION AND DISCUSSIONS
ACKNOWLEDGMENT
REFERENCES
Dependability Aspects Regarding the Cache Level of a Memory Hierarchy Using Hamming Codes
I. INTRODUCTION
II. BLOCK DIAGRAMN OF A CACHE MEMORY
CONCLUSIONS
ACKNOWLEDGMENT
REFERENCES
Performance Evaluation of an Intelligent Agents Based Model within Irregular WSN Topologies
I. INTRODUCTION
II. THE THEORETICAL FRAMEWORK
A. Wireless Networks Sensor
B. Ubiquitous Computing and Ambient Intelligence
C. Mobile Agents
III. THE STATE OF THE ART
IV. THE MODEL
A. Agents in the Model
B. Model’s Considerations
V. CAPABILITIES PROPOSALS IN THE MODEL
A. Mutation
B. Diffusion by flooding
VI. INTERACTION AMONG AGENTS
VII. MODEL VALIDATION
CONCLUSIONS AND FUTURE WORK
ACKNOWLEDGMENTS
REFERENCES
Double Stage Heat Transformer Controlled by Flow Ratio
I. INTRODUCTION
II. SINGLE STAGE AND DOUBLE STAGE HEAT TRANSFORMER
III. EXPERIMENTAL SET – UP
IV. MAIN PARAMETERS
V. CONTROL BY FLOW RATIO
VI. RESULTS AND DISCUSSION
VII. CONCLUSIONS
VIII. REFERENCES
IX ACKNOWLEDGEMENTS
Enforcement of Privacy Policies over Multiple Online Social Networks for Collaborative Activities
I. INTRODUCTION
II. RELATED WORK
III. POLICIES
IV. ENFORCEMENT HIERARCHY
V. ENFORCEMENT ARCHITECTURE
VI. CASE STUDY
A. Usecase
B. Privacy Policy Generating
C. Implementation
D. Analysis of Implementation
1) Policy Dependencies
2) Performance
VII. CONCLUSIONS
REFERENCES
An Estimation of Distribution Algorithms Applied to Sequence Pattern Mining
I. INTRODUCTION
II. MINING SEQUENTIAL PATTERNS
III. ESTIMATION OF DISTRIBUTION ALGORITHMS
IV. RELATEDWORKS
V. ALGORITHM EDASP
A. The Probabilistic Model
B. Evaluation and Selection
C. New Sequences Generation
D. The Upgrade of the Population
E. Experiments
VI. FINAL CONSIDERATIONS AND FUTURE WORKS
REFERENCES
TLATOA COMMUNICATOR A Framework to Create Task-Independent Conversational Systems
I. INTRODUCTION
II. TLATOA COMMUNICATOR
A. Dialogue structure
B. Representing the context
B.1 Database file
B.2 Grammar File
B.3 Output File
B.4 Task File
C. Guarding consistency among records
D. Task-Specific Information Server
III. CREATING THE DIALOGUE STRUCTURE
IV. COMPARISON WITH OTHER SIMILAR SYSTEMS
V. CONCLUSIONS
REFERENCES
Using Multiple Datasets in Information Visualization Tool
I. INTRODUCTION
II. INFORMATION VISUALIZATION
III. RELATED WORKS
A. Snap-Together Visualization
B. Improvise
IV. ARCHITECTURE AND TECHNOLOGIES
V. PROTOTYPE
A. Customizable Workspace
B. Automatic Generation of the User Interface
C. Using Multiple Datasets
D. Datasets
E. Usage Scenario 1
F. Usage Scenario 2
G. Usage Scenario 3
V. FINAL REMARKS
V. FUTUREWORKS
REFERENCES
Improved Crack Type Classification Neural Network based on Square Sub-images of Pavement Surface
I. INTRODUCTION
A. Proximity-based Neural Network
II. SQUARE-SPLIT ADAPTATION WITH A NEW PROXIMITYMETHOD
A. System Architecture Based on Square Sub-images
B. Sectioning into Square Sub-images
C. Final Crack Type Classification
III. ANALYSIS ON PROBLEM SOLUTION
A. Transverse Crack
B. Longitudinal Crack
C. Alligator Crack/Block Crack
IV. CONCLUSIONS
REFERENCES
Building Information Modeling as a Tool for the Design of Airports
I. INTRODUCTION
II. RESEARCH PROBLEM
III. HYPOTHESIS
IV. RESEARCH METHOD
V. ANALYSIS OF THE RESULTS
VI. CONCLUSION
REFERENCES
A Petri-Nets Based Unified Modeling Approach for Zachman Framework Cells
I. INTRODUCTION
II. PETRI NETS
III. FORMAL MODELS FOR ZF
IV. CONCLUSIONS
REFERENCES
From Perspectiva Artificialis to Cyberspace: Game- Engine and the Interactive Visualization of Natural Light in the Interior of the Building
I. COMPUTACIONAL VISUALIZATION AND ITS APPLICATION IN THE DESIGN PROCESS
II. THE VIRTUAL INTERACTIVE ENVIRONMENTS IN REAL TIME AND THE GLOBAL ILLUMINATION
III. LITERATURE REVIEW
IV. APPLICATION OF VIRTUAL COMPUTACIONAL GAMES
V. DISCUSSION, CONCLUSIONS AND FUTURE RESEARCH
REFERENCES
Computational Shape Grammars and Non-Standardization: a Case Study on the City of Music of Rio de Janeiro
I. INTRODUCTION
II. SHAPE GRAMMARS
III. THE CITY OFMUSIC OF RIO DE JANEIRO
IV. THE OPEN BLOCK
V. EVALUATION
REFERENCES
Architecture Models and Data Flows in Local and Group Datawarehouses
1. INTRODUCTION
2. ARCHITECTURE MODEL FOR A GROUP DATAWAREHOUSE
3. PROCESSES AND LAYERS IN THE GROUP DWH
3.1. THE LAYERS in THE GROUP DWH
3.2 THE ORDER FOR PROCESSING DATA FOR THE GROUP DWH
4. INTEGRATION OF A LOCAL DATAWAREHOUSE IN A GROUP DATAWAREHOUS
5. MODEL FOR A LOCAL DWH
5.1. Block shema for a local DWH
5.2. Extract process – transport layer
5.3. Transformation process
5.4. The load process – the daily layer
5.5.The daily exchange layer
5.6. The out layer
5.7. Reporting process – reporting server
5.8. Administration and monitoring layer
5.9. Data Flow in ETL processes
5.10. ETL versus ELT
6. CONCLUSIONS
REFERENCES
Index