Virvou Multimedia Services in Intelligent Environments

Integrated Systems
1. Auflage 2010
ISBN: 978-3-642-13396-1
Verlag: Springer
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 324 Seiten

KES International (KES) is a worldwide organisation that provides a professional community and association for researchers, originally in the discipline of Knowledge Based and Intelligent Engineering Systems, but now extending into other related areas. Through this, KES provides its members with opportunities for publication and beneficial interaction. The focus of KES is research and technology transfer in the area of Intelligent S- tems, i.e. computer-based software systems that operate in a manner analogous to the human brain, in order to perform advanced tasks. Recently KES has started to extend its area of interest to encompass the contribution that intelligent systems can make to sustainability and renewable energy, and also the knowledge transfer, innovation and enterprise agenda. Involving several thousand researchers, managers and engineers drawn from u- versities and companies world-wide, KES is in an excellent position to facilitate - ternational research co-operation and generate synergy in the area of artificial intel- gence applied to real-world ‘Smart’ systems and the underlying related theory. The KES annual conference covers a broad spectrum of intelligent systems topics and attracts several hundred delegates from a range of countries round the world. KES also organises symposia on specific technical topics, for example, Agent and Multi Agent Systems, Intelligent Decision Technologies, Intelligent Interactive M- timedia Systems and Services, Sustainability in Energy and Buildings and Innovations through Knowledge Transfer. KES is responsible for two peer-reviewed journals, the International Journal of Knowledge based and Intelligent Engineering Systems, and Intelligent Decision Technologies: an International Journal.

Autoren/Hrsg.

Virvou, Maria

Inhaltsverzeichnis

1;Title;1
2;Foreword;5
3;Editors;7
4;Preface;9
5;Table of Contents;11
6;Advances in Multimedia Services in Intelligent Environments – Integrated Systems;13
6.1;Introduction;13
6.2;Conclusions;14
6.3;References and Further Reading;14
7;Use of GIS and Multi-Criteria Evaluation Techniques in Environmental Problems;16
7.1;Introduction;16
7.2;The Boolean Evaluation –– Use of GIS in Siting Stabilization Pond Facilities for Domestic Wastewater Treatment;17
7.2.1;Analyzing the Variables;20
7.2.2;Sizing and Performance Criteria of Natural Wastewater Treatment Systems;21
7.2.3;Discussion;25
7.3;Weighted Linear Combination –– Combining GIS, Multicriteria Evaluation Techniques and Fuzzy Logic in Siting MSW Landfills;26
7.3.1;Criteria Group Description and Application;31
7.3.2;Results;40
7.3.3;Discussion;46
7.4;Weighted Linear Combination –– Assessment of Groundwater Vulnerability to Pollution: A Combination of GIS, Fuzzy Logic and Decision Making Techniques;47
7.4.1;Methodology Application;49
7.4.2;Aggregation Procedure and Results;60
7.4.3;Discussion;65
7.5;Conclusions;67
7.6;References;70
8;Integrating Multimedia GIS Technologies in a Recommendation System for Geotourism;74
8.1;Introduction;74
8.2;Requirements Analysis and MMGIS Database Design;76
8.3;Design of the Recommendation System;78
8.4;Implementation Issues of Multimedia GIS;80
8.5;Conclusions;83
8.6;References;83
9;Lighting Design Tools for Interactive Entertainment;86
9.1;Introduction;86
9.2;Traditional Lighting;89
9.3;Game Lighting;89
9.4;Related Work;90
9.4.1;Architectural Inverse Lighting;90
9.4.2;Perceptual Inverse Lighting;91
9.4.3;Interactive Inverse Lighting;92
9.5;Expressive Lighting Engine (ELE);92
9.6;System for Automated Interactive Lighting (SAIL);93
9.6.1;Image Analysis;94
9.6.2;Modeling an Object’s Response to Light;96
9.6.3;Runtime Lighting;96
9.7;Study Design;97
9.7.1;Participants;97
9.7.2;Study Design;97
9.8;Study Results;99
9.8.1;Images as Interface;99
9.8.2;Reflection of Natural Lighting;104
9.8.3;Conclusions – A Look into the Future of Lighting Design Tools;111
9.9;References;113
10;Utilization of Fuzzy Rules in Computer Character Animation;114
10.1;Introduction;114
10.2;Animation Parameterization;115
10.3;Motion Data Processing;117
10.3.1;Relations between Animation Features;118
10.3.2;Generation of Rules;120
10.4;Results;123
10.4.1;System Efficiency;124
10.4.2;Animation System;126
10.5;Conclusions;126
10.6;References;128
11;Instructional Design of a Requirements Engineering Education Course for Professional Engineers;130
11.1;Introduction;130
11.2;Educational Styles for RE;132
11.3;Teaching Materials;134
11.3.1;Introduction to RE;135
11.3.2;Quality of SRS;136
11.3.3;Actual Project Situation for Requirements Changes;137
11.3.4;Means of Achieving RE Goals;140
11.4;Instructional Design of Course;143
11.4.1;Course Products;143
11.4.2;Method Selection;146
11.4.3;Style Selection;148
11.4.4;Schedule Planning;149
11.5;Course Experience;152
11.5.1;Workshop Assignment;152
11.5.2;Products;154
11.5.3;Evaluation;155
11.6;Conclusions;158
11.7;References;160
12;Building Intelligent E-Learning Systems by Activity Monitoring and Analysis;163
12.1;Introduction;163
12.2;Related Work;165
12.3;Concept Maps;166
12.4;K-Means Clustering Algorithm;167
12.5;Software Architecture of Tesys E-Learning Platform;169
12.6;Monitoring Activity in Tesys E-Learning Platform;171
12.7;Data Filtering and Obtaining Recommendations;172
12.8;Analysis Process and Experimental Results;173
12.9;Discusson and Conclusion;180
12.10;References;182
13;Supporting the Search for Explanations of Medical Exceptions;185
13.1;Introduction;185
13.2;ISOR-1: Investigating Therapy Inefficacy;186
13.2.1;System Architecture;189
13.2.2;Illustration;191
13.3;ISOR-2: Explaining Exceptional Cases;195
13.3.1;Dialyse and Fitness;196
13.3.2;Data;197
13.3.3;Setting up a Model;197
13.3.4;Setting Up a Case-Base;199
13.3.5;Illustration of ISOR-2’s Program Flow;201
13.3.6;Another Problem;203
13.3.7;Exceptional Cases and Outliers;203
13.4;Discussion;204
13.5;Conclusion;205
13.6;References;207
14;Security in Medical Telediagnosis;210
14.1;Introduction;210
14.2;Security Requirements for Telemedicine and Telediagnosis;213
14.3;Methods of Authentication;215
14.3.1;Authentication Possibilities;216
14.3.2;SSO Modalities;218
14.4;Secured Data Storage;220
14.4.1;DICOM Standard;220
14.4.2;Security Requirements for Medical Data Storage;221
14.4.3;Distributed Storage of Medical Data;222
14.5;Secured Data Transfer;222
14.5.1;Vulnerabilities of Telemedecine’s Networks;223
14.5.2;To Secure Data Transfer in Telemedecine Network;226
14.6;Presentation of Secured Telemedicine Software;228
14.7;Conclusion;231
14.8;References;232
15;Audio Content Analysis in the Urban Area Telemonitoring System;236
15.1;Introduction;236
15.2;Audio Analysis for Detection of Threats;236
15.2.1;Automatic Classification of Sounds for Security Purposes;237
15.2.2;Localization of Sound Source;243
15.3;Integration of Audio Analysis Module with Monitoring System;246
15.4;Summary;247
15.5;References;248
16;Video Content Analysis in the Urban Area Telemonitoring System;249
16.1;Introduction;249
16.2;Basic Video Analysis;250
16.2.1;Moving Object Detection;250
16.2.2;Moving Object Tracking;253
16.3;High Level Image Processing for Detection of Threats;257
16.3.1;Object Classification and Camera Calibration;257
16.3.2;Event Detection in Video;262
16.3.3;Object Tracking with PTZ Cameras;265
16.4;Summary;267
16.5;References;268
17;Enterprise Attention Management;270
17.1;Introduction;270
17.2;Motivating Examples, Requirements and Framework;271
17.2.1;Example Scenario 1;271
17.2.2;Example Scenario 2;272
17.2.3;Example Scenario 3;273
17.2.4;Requirements and Framework;273
17.3;A Prototype Enterprise Attention Management System;275
17.4;Pertinent Technologies and Related Work;282
17.4.1;Attention Aware Systems;282
17.4.2;Just-in-Time Information Retrieval and Context-Based Information Delivery;283
17.4.3;Web Alert Systems;284
17.4.4;RSS-Oriented Enterprise Systems;285
17.4.5;Other Technologies –– AttentionXML;286
17.5;Conclusions;287
17.6;References;289
18;e-Welfare as a Client Driven Service Concept;290
18.1;Background;290
18.1.1;The Challenge in Elderly – The Demand of New Kind of Competence Sharing;290
18.1.2;Caring TV – As a Platform;293
18.2;Action Research Enabling the Development of a Client Driven Service Concept;294
18.3;Learning by Developing as an Action Model;295
18.4;The Processes Leading to the Development of a Client Driven Service Design Described as a Case Study;296
18.4.1;Research Findings as the Basis of Programme Production;297
18.4.2;The Client Driven Programme Production Process;298
18.5;e-Welfare Services Supporting Quality of Life in Elderly;299
18.6;Conclusion;301
18.7;References;303
19;Brain-Computer Interface (BCI): Types, Processing Perspectives and Applications;306
19.1;Introduction;306
19.2;Principles of Noninvasive BCI operation;307
19.2.1;Event Related Potentials;307
19.2.2;Steady State Visual Evoked Potentials;308
19.2.3;Event-Related De/Synchronization;310
19.2.4;Slow Cortical Potentials;312
19.3;State-of-the-Art in EEG-Based BCI Signal Processing;314
19.3.1;Laplacian Spatial Filtering;315
19.3.2;Principal Component Analysis (PCA);316
19.3.3;Independent Component Analysis (ICA);316
19.3.4;Common Spatial Patterns (CSP);317
19.3.5;Linear Discriminant Analysis Classifier;318
19.3.6;Support Vector Machines;319
19.4;Invasive BCI Systems;319
19.5;Resources for BCIs;320
19.6;Applications of BCI Research;322
19.6.1;Invasive BCIs;322
19.6.2;Noninvasive BCIs;322
19.7;Concluding Implications;324
19.8;References;326
20;Author Index;329