Ulieru / Palensky / Doursat IT Revolution

First International ICST Conference, IT Revolutions 2008, Venice, Italy, December 17-19, 2008, Revised Selected Papers
1. Auflage 2009
ISBN: 978-3-642-03978-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 11, 270 Seiten

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

This book constitutes the proceedings of the First International ICST Conference IT Revolutions in Venice, Italy, in December 2008. It consists of 21 position papers as well as 3 NRC papers. It embraces the Internet as driving factor, and the socio-technical and industrial eNetwork ecosystems changing our lives in the first two decades of the 21 century. IT Revolution will account yearly on the progress made in building a critical mass for the radical shift while underlining the major issues and identifying gaps between the traditional and the new ICT-driven ways to provide strategic directions in adressing them - thus ensuring a smooth transition toward an IT-driven future.

Autoren/Hrsg.

Ulieru, Mihaela

Palensky, Peter

Doursat, René

Inhaltsverzeichnis

1;Title Page;2
2;Preface;5
3;Organization;7
4;Table of Contents;10
5;Position Papers;10
5.1;IT Complexity Revolution: Intelligent Tools for the Globalised World Development;13
5.1.1;Introduction;13
5.1.2;Unreduced Interaction Dynamics: Causal Randomness, Emerging Structure and Unified Complexity Definition;14
5.1.3;Complexity Transition: Creative ICT Systems and Emergent Engineering;19
5.1.4;IT Revolutions as Complexity Revolution in Science and Society;22
5.1.5;References;24
5.2;“Low Power Wireless Technologies: An Approach to Medical Applications”;26
5.2.1;Introduction;26
5.2.2;eHealth;27
5.2.2.1;The IEEE 1073 Standard;30
5.2.3;Conclusions;31
5.2.4;References;31
5.3;Implementation of Virtualization Oriented Architecture: A Healthcare Industry Case Study;33
5.3.1;Introduction;33
5.3.2;Virtualization Oriented Architecture;34
5.3.3;Hridaya – A Telemedicine Application;35
5.3.4;VOA Implementation of Hridaya;36
5.3.5;Conclusion and Future Work;38
5.3.6;References;39
5.4;Location Tracking Strategy Indicating Sufferers ’Positions under Disaster in the Buildings;40
5.4.1;Overview;40
5.4.2;Location Tracking to Indicate Sufferers’ Positions;41
5.4.3;Location Tracing in Dead-Reckoning Operation;42
5.4.4;References;43
5.5;Measuring Cognition Levels in Collaborative Processes for Software Engineering Code Inspections;44
5.5.1;Introduction;44
5.5.2;Industry Practice;45
5.5.2.1;Practical Software Inspection Methods;45
5.5.3;Bloom’s Taxonomy for Educational Objectives;46
5.5.3.1;Bloom’s Cognitive Development;46
5.5.3.2;Industry-Based Context-Aware Schema Using Bloom’s Taxonomy;46
5.5.4;Methodology for Collective Academic and Industry Learning;47
5.5.5;Results on Effective Bloom’s Cognition Development and Software Skill Training;48
5.5.6;Discussion;52
5.5.7;Conclusions;53
5.5.8;References;54
5.6;New Possibilities of Intelligent Crisis Management by Large Multimedia Artifacts Prebuffering;56
5.6.1;Introduction;56
5.6.2;Basic Concepts and Technologies of User Localization;57
5.6.2.1;Radio Location Techniques in Wireless Communications Systems;57
5.6.2.2;Data Collection, Localization;58
5.6.2.3;Super-Ideal WiFi Signal Strength Equation from Measured Characteristics;59
5.6.2.4;Predictive Data Push Technology;62
5.6.2.5;Framework Design;63
5.6.2.6;PDPT Client;64
5.6.2.7;PDPT Client – SQL Server CE Database;66
5.6.3;User Localization in Intelligent Crisis Management;67
5.6.3.1;PDPT Framework Data Artifact Management;67
5.6.4;Experiments – Data Transfer Test Using PDPT;68
5.6.5;Conclusions;69
5.6.6;References;70
5.7;Paradox in Applications of Semantic Similarity Models in Information Retrieval;72
5.7.1;Introduction;72
5.7.2;Related Works;73
5.7.2.1;Semantic Nets;73
5.7.2.2;Semantic Similarity Models;73
5.7.3;Case Study for Analysing the Paradox;76
5.7.3.1;Case Study I – Query Word Sense Ambiguity;76
5.7.3.2;Case Study II – Query Word Over-Particularness;77
5.7.4;Possible Solutions;77
5.7.4.1;Possible Solutions for Query Word Sense Ambiguity;78
5.7.4.2;Possible Solutions for Query Word Over-Particularness;78
5.7.5;Conclusions and Further Works;78
5.7.6;References;79
5.8;Physically Based Virtual Surgery Planning and Simulation Tools for Personal Health Care Systems;81
5.8.1;Introduction;81
5.8.2;Previous Studies in the Area of Physically Based Virtual Surgery Simulators;82
5.8.2.1;Mass-Spring Models;83
5.8.2.2;Finite Element Models;84
5.8.3;Discussion of the Physically Based Modeling Approaches in Personal Health Care;85
5.8.4;Conclusion and Future Directions;88
5.8.5;References;89
5.9;The Primacy of Paradox;91
5.9.1;Introduction;91
5.9.2;A Systems Roadmap;91
5.9.3;Thinking about Systems;93
5.9.4;The Boardman Conceptagon;95
5.9.5;Soft Systems Methodology (SSM);99
5.9.6;Paradoxes of Complexity;102
5.9.6.1;A Weakness Stronger Than Strength;103
5.9.6.2;Ready, Fire, Aim;104
5.9.6.3;Snowballs and Seesaws;108
5.9.6.4;Significant Others;111
5.9.7;Paradoxical Systems;112
5.9.7.1;Energy;113
5.9.7.2;Geopolitics;114
5.9.7.3;Information;115
5.9.8;Principles and Their Principled Violation;116
5.9.8.1;Declarations;116
5.9.8.2;Washington;117
5.9.8.3;Jefferson;118
5.9.8.4;Gerstner;119
5.9.9;Paradoxical Thinking;120
5.9.10;References;121
5.10;Semantic Service Search, Service Evaluation and Ranking in Service Oriented Environment;123
5.10.1;Introduction;123
5.10.2;Case Study for Studying the Motivations of Semantic Service Search and Service Evaluation, Ranking Research;124
5.10.3;Related Works;126
5.10.3.1;Semantic Service Search;127
5.10.3.2;Service Evaluation and Ranking;127
5.10.4;Research Issues in Semantic Service Search, Service Evaluation and Ranking Field;128
5.10.5;Conclusions;129
5.10.6;References;129
5.11;Quality Measures for Digital Business Ecosystems Formation;130
5.11.1;Introduction;130
5.11.2;Quality Related Issues;131
5.11.3;Approach;131
5.11.4;Conclusion;132
5.11.5;References;133
5.12;Future Information Technology for the Health Sector;134
5.12.1;Information Technology for the Health Sector: Which Are the Technical Challenges?;134
5.12.1.1;Why and How to Look into the Future?;135
5.12.1.2;What Is the Delphi Method?;136
5.12.2;Overview of Results;136
5.12.2.1;When Are the Theses Considered Feasible?;136
5.12.2.2;Nearly All Selected Theses Are Desirable;140
5.12.2.3;Quality of Healthcare and Importance of Higher Quality of Life;141
5.12.2.4;Applicability in Other Areas;144
5.12.2.5;Technical Problems Are the Main Obstacle for Realisation;145
5.12.3;A Short Glance at the Future: Where Do New Markets Develop?;147
5.12.4;References;150
5.13;A Modern Approach to Total Wellbeing;152
5.13.1;Introduction;152
5.13.2;Why the Six-Dimensional Approach?;153
5.13.2.1;Physical and Mental Health;153
5.13.2.2;Financial, Physical and Mental Health;154
5.13.2.3;Social, Physical and Mental Health;154
5.13.2.4;Emotions, Physical and Mental Health;154
5.13.2.5;Physical and Spiritual Health;155
5.13.2.6;Mental and Spiritual Health;155
5.13.3;6D Ontology;156
5.13.4;6DO-Based Health Information System;157
5.13.5;Conclusion;159
5.13.6;References;159
5.14;Applying Business Process Re-engineering Patterns to optimize WS-BPEL Workflows;163
5.14.1;Introduction;163
5.14.2;Business Process Re-engineering and BPEL;165
5.14.2.1;Resequencing and Parallelization BPR Patterns;166
5.14.2.2;Exception and Knock-Out BPR Patterns;167
5.14.2.3;Human-Centric BPR in People-Oriented Business Processes;169
5.14.3;Conclusion;171
5.14.4;References;172
5.15;Applying Semantic Web Services and Wireless Sensor Networks for System Integration;173
5.15.1;Introduction;173
5.15.2;Background;174
5.15.2.1;Wireless Sensor Networks;174
5.15.2.2;Semantic Web Service;175
5.15.3;Applying Semantic Web Services to Wireless Sensor Networks;177
5.15.4;Discussion;179
5.15.4.1;Open Issues;180
5.15.5;FinalRemarks;180
5.15.6;References;180
5.16;Beyond Artificial Intelligence toward Engineered Psychology;183
5.16.1;Introduction;183
5.16.2;Artificial Intelligence, So Far;184
5.16.2.1;The ANW Group in Early 1980-ies;185
5.16.2.2;Phases of AI Development: Programs, Agents, Personalities;187
5.16.3;Engineered Psychology Rather Than Artificial Intelligence;189
5.16.3.1;Consequence-Driven Systems Theory;189
5.16.3.2;Fundamental Law of Engineered (and Human) Psychology;192
5.16.3.3;Basic Principles and Measuring Units;194
5.16.4;Conclusion;194
5.16.5;References;194
5.17;Communication in Change – Voice over IP in Safety and Security Critical Communication Networks;198
5.17.1;Introduction;198
5.17.2;Network Layer;200
5.17.2.1;Access Network;200
5.17.2.2;Provider Network;201
5.17.3;Service Oriented Architecture in Communication Systems;202
5.17.3.1;Overview;202
5.17.3.2;Security Issues and Concerns;203
5.17.4;Conclusion and Outlook;204
5.17.5;References;205
5.18;Paradox in AI – AI 2.0: The Way to Machine Consciousness;206
5.18.1;Introduction;206
5.18.2;What Consciousness?;207
5.18.3;Consciousness Support;208
5.18.3.1;Philosophy;209
5.18.3.2;Psychology;210
5.18.3.3;Evolutionary Biology;210
5.18.3.4;Physics;210
5.18.3.5;Cognitive Neuroscience;211
5.18.3.6;Psychoanalysis;211
5.18.4;Psychoanalysis, the Template;212
5.18.4.1;Basics;212
5.18.4.2;The Mental Apparatus (1): The Topographical Model;213
5.18.4.3;Drive Theory;213
5.18.4.4;The Mental Apparatus (2): The Structural Model;214
5.18.4.5;Psychoanalysis and Neuroscience;215
5.18.5;Road-Map;216
5.18.5.1;Mental Functions;216
5.18.5.2;Example;218
5.18.5.3;The Object-Recognition Capabilities of a 2–Year–Old Child;218
5.18.5.4;The Language Capabilities of a 4–Year–Old Child;219
5.18.5.5;The Manual Dexterity of a 6–Year–Old Child;219
5.18.5.6;The Social Understanding of an 8–Year–Old Child;219
5.18.6;Necessary Basic Concepts;220
5.18.7;Implementation Issues;221
5.18.8;Social Implications;223
5.18.9;Conclusion and Outlook;224
5.18.10;References;225
5.19;Data Mining on Distributed Medical Databases: Recent Trends and Future Directions;228
5.19.1;Introduction;228
5.19.2;Data Mining on Medical Databases;230
5.19.3;Distributed Medical Databases;231
5.19.3.1;Integration of Medical Databases;231
5.19.3.2;Data Mining Applications on Distributed Medical Databases;232
5.19.4;Conclusion;234
5.19.5;References;234
5.20;Economic Activity and Climate Change in a Structural Framework: A First Approach;237
5.20.1;Introduction;237
5.20.2;Energy Use, Climate Change and Economic Analysis;238
5.20.3;The Theoretical Model;240
5.20.4;Conclusions;241
5.20.5;References;241
5.21;Towards Ontology as Knowledge Representation for Intellectual Capital Measurement;244
5.21.1;Introduction;244
5.21.2;Social Capital Measurement;245
5.21.3;Human Capital Measurement;247
5.21.4;Market Capital Measurement;248
5.21.4.1;Supplier to Company (SPCO);248
5.21.4.2;Supplier to Competitor (SPCM);248
5.21.4.3;Company to Customer (COCS);249
5.21.4.4;Customer to Customer (CSCS);249
5.21.4.5;Potential Customer to Company (PCCO);249
5.21.5;Ontology for Intellectual Capital Measurement;250
5.21.6;Conclusion;251
5.21.7;References;251
6;NRC Papers;11
6.1;e-Health in the Age of Paradox: A Position Paper;252
6.1.1;Scenario;252
6.1.2;Paradoxes;253
6.1.3;Building Blocks;254
6.1.4;What Exists?;255
6.1.5;ICT's Further Potential;256
6.1.6;Jumping Organizational Barriers;256
6.1.7;Jumping Interoperability Barriers;258
6.1.8;An Alternate Scenario;259
6.1.9;References;261
6.2;Bio-Intelligence: A Research Program Facilitating the Development of New Paradigms for Tomorrow’s Patient Care;262
6.2.1;Introduction;262
6.2.2;Knowledge Discovery and Knowledge Integration;263
6.2.2.1;Knowledge Discovery;263
6.2.2.2;Knowledge Integration;264
6.2.3;Conclusion;265
6.2.4;References;265
6.3;An Integrative Bioinformatics Approach for Knowledge Discovery;266
6.3.1;Introduction;266
6.3.2;An Integrative Approach to Facilitate Discovery of Biological Knowledge;267
6.3.3;Conclusion;268
6.3.4;References;268
7;Author Index;270