Papasratorn / Chutimaskul / Porkaew Advances in Information Technology

Third International Conference, IAIT 2009, Bangkok, Thailand, December 1-5, 2009, Proceedings
1. Auflage 2009
ISBN: 978-3-642-10392-6
Verlag: Springer
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 219 Seiten

This book constitutes the proceedings of the Third International Conference on Advances in Information Technology, IAIT 2009, held in Bangkok, Thailand in December 2009. The volume aims to provide a forum for researchers, educators, government officers,consultants, private sectors, managers, developers and others in the rapidly growing field of information technology to meet, discuss and exchange ideas on recent advances.

Autoren/Hrsg.

Papasratorn, Borworn

Chutimaskul, Wichian

Porkaew, Kriengkrai

Inhaltsverzeichnis

1;Preface;5
2;Organization;6
3;Table of Contents;7
4;Performance Analysis of BitTorrent and Its Impact on Real-Time Video Applications;9
4.1;Introduction;9
4.2;Performance Issues with BitTorrent and Other Applications;10
4.3;Scenario Description and Simulation Setup;12
4.4;Analysis and Results;13
4.4.1;Number of Local BitTorrent Clients;13
4.4.2;Number of Unchoked Remote Peers;14
4.4.3;Access Router Queue Size;15
4.5;Related Work;16
4.6;Conclusions;17
4.7;References;18
5;TOF Depth Camera Based 3D Gesture Interaction System;19
5.1;Introduction;19
5.2;TOF Camera-Based Virtual Touch Screen;20
5.2.1;Depth Image;20
5.2.2;Setting of a Threshold Value;20
5.3;Virtual Gesture Screen;21
5.3.1;Object Trajectory Database Extraction System;21
5.3.2;Gesture Recognition System;23
5.4;Test Results;24
5.5;Conclusion;24
5.6;References;25
6;Mining Top-K Periodic-Frequent Pattern from Transactional Databases without Support Threshold;26
6.1;Introduction;26
6.2;From Periodic Patterns to Top-K Periodic Patterns;27
6.3;Problem Definition;28
6.4;MTKPP(Mining Top-K Periodic-Frequent Patterns);29
6.5;Performance Evaluation;33
6.5.1;Experimental Setup;33
6.5.2;Execution Time of MTKPP;33
6.5.3;Memory Consumption of MTKPP;34
6.6;Conclusion;35
6.7;References;35
7;Intercropping Planning Models for an Agricultural Expert System;38
7.1;Introduction;38
7.2;Model Development Framework;39
7.3;Model Construction;40
7.3.1;Weight Derivation from Sale Prices Per Plant;41
7.3.2;Weight Derivation from Periods of Growing Until Harvesting;42
7.3.3;Weight Derivation from Cultivating Areas Per Plant;42
7.3.4;Weight Derivation from All the Factors;43
7.4;Model Evaluation;43
7.5;Model Enhancement;44
7.6;Conclusions and Future Work;45
7.7;References;45
8;An Impact of Scheduling Strategy to Parallel FI-Growth Data Mining Algorithm;47
8.1;Introduction;47
8.2;Related Works;48
8.3;Parallel FI-Growth Algorithm;48
8.3.1;Application Model;49
8.3.2;System Model;50
8.4;Designing the Scheduling Strategies;51
8.4.1;Strategies for Ordering the Task;51
8.4.2;Strategies for Task Mapping;51
8.5;Experimental Evaluation;52
8.6;Conclusions;54
8.7;References;55
9;Bringing Precision to Office Document Search by Semantic Relationship Approach;56
9.1;Introduction;56
9.2;System Architecture;57
9.3;The Schema Models for Search Term Schemas and Search Indices;58
9.3.1;Search Term Definition File;59
9.3.2;Search Indices;59
9.4;Search Query;60
9.5;System Implementation and Evaluation;62
9.6;Related Work;63
9.7;Conclusion and Future Work;64
9.8;References;65
10;Multi-objective Optimization for Information Sharing in Vehicular Ad Hoc Networks;66
10.1;Introduction;66
10.2;xChangeMobile;68
10.2.1;VanetDFCN;70
10.2.2;ChunkXChange;71
10.2.3;Optimization Problem;71
10.3;Multiobjective Cellular Genetic Algorithms;72
10.3.1;Canonical cGA;72
10.3.2;Multiobjective cGA;74
10.4;Simulation and Optimization of the Protocol;75
10.5;Conclusions and Future Work;77
10.6;References;77
11;Analysis on Relationships among Software Models through Traceability Activity;79
11.1;Introduction;79
11.2;Software Model Specification for Product Family Systems;80
11.2.1;Requirements Artefacts;80
11.2.2;Design Artefacts;82
11.3;Traceability on Software Models;84
11.3.1;Classification of Traceability Relations;84
11.3.2;Generating Traceability Relations;85
11.3.3;Extension of a Rule Language for Traceability Activity;86
11.4;Discussion and Conclusion;88
11.5;References;88
12;An Axiomatic and Object-Based Approach to Tracing Safety Properties in the Context of ARP 4754;89
12.1;Introduction;89
12.2;Key Traceability Concerns for Safety-Critical Systems;90
12.2.1;Management of Safety Properties;91
12.2.2;Change Control and Impact Analysis;92
12.2.3;Evolution of Artifacts;93
12.3;ASTrA: Concepts and Means;94
12.3.1;Traceability Dimensions;94
12.3.2;Traceability Structures;96
12.3.3;Axiomatic Representation of Traceability Structures;96
12.3.4;Tool Support;98
12.4;Application of Approach;98
12.4.1;Case Study: Aircraft Braking System;99
12.4.2;Relating ASTrA to the Dimensions for Traceability;101
12.5;Concluding Remarks;102
12.6;References;102
13;Token Traversal Strategies of a Distributed Spanning Forest Algorithm in Mobile Ad Hoc - Delay Tolerant Networks;104
13.1;Introduction;104
13.2;The Spanning Forest Algorithm Using DA-GRS Model;106
13.3;Utilizing and Applying DA-GRS for Creating the Spanning Forest;107
13.3.1;Beaconing;107
13.3.2;Trees Merging Process;107
13.3.3;Token Traversal;108
13.4;Token Traversal Strategies in a Decentralized System;108
13.4.1;Randomness;109
13.4.2;TABU;109
13.4.3;Depth First Search (DFS);109
13.5;Experiment Methodology and Measurements;110
13.5.1;Experiment Methodology;110
13.5.2;performanceRatio() Function;112
13.5.3;convergenceSpeedRate() Function;113
13.6;Results;113
13.7;Conclusions and Future Work;115
13.8;References;116
14;Requirements for a Knowledge Transfer Framework in the Field of Software Development Process Management for Executive Information Systems in the Telecommunications Industry;118
14.1;Introduction;118
14.2;The Current Situation in the Software Development Process Management for EIS in the Thai Telecommunications Industry;120
14.3;The Current Focus in Europe;121
14.4;Theoretical Foundations Concerning the Two Proposed Frameworks;123
14.4.1;Principles of the Project Management Body of Knowledge Guide (PMBOK);123
14.4.2;Principles of the Enhanced Telecom Operations Map (eTOM);123
14.4.3;The Scrum Model;123
14.4.4;Technology Acceptance Model (TAM);124
14.4.5;Szulanski’s Knowledge Transfer Process Model;124
14.4.6;Towards a Knowledge Transfer Framework;124
14.5;Requirements for a Successful Knowledge Transfer Framework;125
14.6;What a Framework Based on These Requirements Could Look Like;126
14.7;Conclusion;128
14.8;References;128
15;Automating the Dissemination of Information Entities to Healthcare Professionals;131
15.1;Introduction;131
15.2;Metadata and Ontologies;132
15.2.1;Learning Object Metadata;132
15.2.2;Information Entity Ontology;133
15.2.3;Representing Information Entities;134
15.3;Sharing the Information Entity Ontology;136
15.4;Integrating Information Entities into Daily Work Patterns;137
15.4.1;Workflow Engine;137
15.4.2;Modeling Workflows by BPMN;137
15.4.3;A BPD Example;138
15.5;Conclusions;139
15.6;References;139
16;The Triangular Life Cycle Model;141
16.1;The Waterfall Life Cycle Model;141
16.2;The Triangular Life Cycle Model;142
16.2.1;Product Life Cycle;142
16.2.2;Quality Management Priorities;143
16.2.3;Views of Quality;143
16.2.4;The Role of Verification and Validation;145
16.3;Closing the Gaps;146
16.3.1;Closing the Gaps with Verification;146
16.3.2;Closing the Gaps with Validation;146
16.3.3;Testing as a V&V Technique;147
16.3.4;Closing the Gaps with Configuration Management;148
16.3.5;Closing the Gaps with Defect Prevention;148
16.3.6;Closing the Gaps with Rework;149
16.3.7;Closing the Gaps with Iteration;149
16.3.8;Closing the Gaps with Process Improvement;150
16.4;“Triangular” Maturity Models;152
16.5;Conclusion;153
16.6;References;153
17;A Hybrid Technique for Complete Viral Infected Recovery;155
17.1;Introduction;155
17.2;Background;156
17.2.1;Classification of Virus Infection Techniques;156
17.2.2;Anti-virus Techniques;156
17.2.3;BWT Compression;157
17.3;Related Work;158
17.4;Proposed Technique;159
17.4.1;Archival Construction Process;159
17.4.2;Error Detection Process;161
17.4.3;Recovery Process;162
17.5;Experimental Results;163
17.5.1;Preliminary Experiment;163
17.5.2;Proposed Method Experiment;163
17.5.3;An Experiment over Real Computer Viruses;165
17.6;Conclusion;166
17.7;References;166
18;Procedurally Placement of Tropical Beach Vegetation in Level Design Tools;168
18.1;Introduction;168
18.2;Existing Work;169
18.3;Tropical Beach Shoreline Vegetation Patterns;170
18.4;Proposed System;171
18.4.1;Positional Suggestion Process;171
18.4.2;Positional Validation Test;172
18.4.3;Water Proximity Test;172
18.4.4;Valid Vegetation Placement List;173
18.4.5;Denseness of Vegetation;173
18.4.6;Overview of Proposed System;174
18.5;Results and Discussions;174
18.6;Conclusions and Future Work;176
18.7;References;176
19;Development and Performance Analysis of Grid Scheduling Algorithms;178
19.1;Introduction;178
19.2;Related Research;179
19.3;New Scheduling Algorithms;180
19.3.1;Hybrid Scheduling Algorithm (H);181
19.3.2;Dual Queue Scheduling Algorithm (DQ);182
19.4;Homogeneous Implementation of New Algorithms;183
19.5;Scheduling Simulator Design and Development;183
19.6;Experimental Setup;184
19.7;Results and Discussion;187
19.8;Conclusion and Future Work;188
19.9;References;188
20;Association Rule Mining for Intellectual Capital of Enterprises in Central Region of Thailand;190
20.1;Introduction;190
20.2;Background of the Study;190
20.3;Empirical Study;191
20.3.1;Data Collection;193
20.3.2;Data Analysis;193
20.3.3;Data Mining Techniques;194
20.4;Research Framework;195
20.4.1;Data Pre-processing;195
20.4.2;Calculate IC Score;195
20.4.3;Association Rule Mining;196
20.5;Results;196
20.6;Conclusions;197
20.7;References;198
21;Attitudes toward Using Communication Technologies in Education: A Comparative Study of Email and SMS;199
21.1;Introduction;199
21.2;Factors Influencing Attitudes toward Using Email and SMS;200
21.2.1;Information Richness;201
21.2.2;Mobility;201
21.2.3;Information Privacy;201
21.2.4;Social Pressure;202
21.2.5;Perceived Utility;202
21.3;Research Design and Analysis Results;203
21.4;Discussion of the Findings;206
21.5;Implications and Limitations;207
21.6;Conclusions;208
21.7;References;208
22;Study of Factors Influencing Online Auction Customer Loyalty, Repurchase Intention, and Postitive Word of Mouth: A Case Study of Students from Universities in Taipei, Taiwan;210
22.1;Introduction;210
22.2;Literature Review;211
22.3;Conceptual Framework;213
22.4;Research Hypothesis;214
22.5;Research Methodology;214
22.5.1;Research Instruments / Questionnaire;216
22.6;Results and Conclusion;216
22.7;Recommendations;216
22.8;Limitations and Future Studies;217
22.9;References;217
23;Author Index;219