Ambient intelligence : Second European Symposium, EUSAI 2004, Eindhoven, The Netherlands, November 8-11, 2004 : proceedings
This volume of the LNCS is the formal proceedings of the 2nd European Symposium on Ambient Intelligence, EUSAI 2004. This event was held on November 8 10, 2004 at the Eindhoven University of Technology, in Eindhoven, the Netherlands. EUSAI 2004 followed a successful first event in 2003, organized by...
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| Autor corporatiu: | |
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| Altres autors: | , , |
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Col·lecció: | Lecture notes in computer science
3295 |
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Ambient intelligence, Second European Symposium, EUSAI 2004, Eindhoven, The Netherlands, November 8-11, 2004, proceedings, Panos Markopoulos, Berry Eggen, Emile Aarts ... [et al.] (eds.), Berlin, Springer, 2004, 1 vol. (XIII-386 p.), Lecture notes in computer science, 3-540-23721-6 • Ambient Intelligence, Texte imprimé, 9783662191972 |
Taula de continguts:
- Ubiquitous Computing: Software Architectures, Communication, and Distribution
- Super-distributed RFID Tag Infrastructures
- Using Ontologies to Address Key Issues in Ubiquitous Computing Systems
- Performance Evaluation of Personal Agent Migration Policies in an Ambient Use Case Scenario
- QoS Provision Using Dual RF Modules in Wireless LAN
- Using Cooperative Artefacts as Basis for Activity Recognition
- Privacy Protection in Memory-Based Collaborative Filtering
- Context-Aware, Ontology-Based Service Discovery
- Context-Based Service Access for Train Travelers
- System for Monitoring and Coaching of Sportsmen
- From Imagination to Experience: The Role of Feasibility Studies in Gathering Requirements for Ambient Intelligent Products
- Context Sensing and Machine Perception
- Using Integration Frameworks for Developing Context-Aware Applications
- A Generic Topology for Ambient Intelligence
- A Distributed Location Sensing Platform for Dynamic Building Models
- Distributed Feature Extraction for Event Identification
- Towards an Extensible Context Ontology for Ambient Intelligence
- Integrating Handhelds into Environments of Cooperating Smart Everyday Objects
- Remote Code Execution on Ubiquitous Mobile Applications
- The PLANTS System: Enabling Mixed Societies of Communicating Plants and Artefacts
- Multiple User Profile Merging (MUPE): Key Challenges for Environment Awareness
- Human Computer Interaction in Ambient Intelligence Environments
- Towards a Playful User Interface for Home Entertainment Systems
- Shaping the Ambience of Homes with Domestic Hypermedia
- Tangible Computing in Everyday Life: Extending Current Frameworks for Tangible User Interfaces with Personal Objects
- End-User Configuration of Ambient Intelligence Environments: Feasibility from a User Perspective
- VIEWs: Visual Interaction Enriched Windows
- Information Capture Devices for Social Environments
- Rich Interaction: Issues
- From Metaphors to Simulations to Idioms: Supporting the Conceptualisation Process
- Algorithms, Ontologies, and Architectures for Learning and Adaptation
- CAMELEON-RT: A Software Architecture Reference Model for Distributed, Migratable, and Plastic User Interfaces
- A Fair Energy Conserving Routing Algorithm for Wireless Sensor Networks
- Distance-Based Access Modifiers Applied to Safety in Home Networks
- AmbieSense A System and Reference Architecture for Personalised Context-Sensitive Information Services for Mobile Users
- Realising the Ambient Intelligence Vision Through the Deployment of Mobile, Intentional Agents
- Ambient Intelligence Using KGP Agents
- Services Platforms for Context-Aware Applications
- Modelling Context: An Activity Theory Approach
- Confidence Estimation of the State Predictor Method.