
Computer Science and Ambient Intelligence
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Persons
Thierry Delot is Associate professor, University of Valenciennes, France.
Florence Sèdes is Professor, Université Paul Sabatier, Toulouse, France.
Jean-Yves Tigli is Associate professor, University of Nice Sophia Antipolis - France.
Content
- Intro
- Title Page
- Contents
- Preface
- Chapter 1. Ambient Intelligence: Science or Fad?
- 1.1. Ambient intelligence: still young at 20 years
- 1.2. A step forward in the evolution of informatics
- 1.2.1. Fifty years ago: the computer as an isolated critical resource
- 1.2.2. Thirty years ago: the user at the center of design
- 1.2.3. The past decade: combining physical, social, and digital worlds
- 1.3. Extreme challenges
- 1.3.1. Multi-scale
- 1.3.2. Heterogeneity
- 1.3.3. Dynamic adaptation
- 1.4. Conclusion
- 1.5. Bibliography
- Chapter 2. Thinking about Ethics
- 2.1. Ethics and fundamental rights
- 2.2. Ethics and values
- 2.3. Ethics and future perspectives
- 2.4. Bibliography
- Chapter 3. Sensor Networks
- 3.1. MAC layers for wireless sensor networks
- 3.1.1. Challenges atMAClevel
- 3.1.2. Energy consumption
- 3.1.3. Parameters for evaluating a MAClayer
- 3.1.4. MAC Protocols
- 3.2. Topology control
- 3.2.1. Range adjustment
- 3.2.2. Spanning
- 3.3. Routing
- 3.3.1. Broadcast
- 3.3.2. Classic routing
- 3.3.3. Geographic routing
- 3.4. Deployment of sensor networks
- 3.4.1. Knowing the hardware
- 3.4.2. Development process
- 3.4.3. Ensuring stability
- 3.4.4. Preparing for deployment
- 3.5. Bibliography
- Chapter 4. Smart Systems, Ambient Intelligence and Energy Sources: Current Developments and Future Applications
- 4.1. Introduction
- 4.2. Did you say "smart systems"?
- 4.2.1. Smart materials
- 4.2.2. Sensors and actuators
- 4.2.3. Command and control unit
- 4.2.4. Managing data and security
- 4.3. Energy harvesting2
- 4.3.1. Initial applications
- 4.3.2. Second generation
- 4.3.3. Managing systems, processes and energy
- 4.4. Wearable computers and smart fibers
- 4.5. Other applications
- 4.6. Conclusion
- 4.7. Bibliography
- Chapter 5. Middleware in Ubiquitous Computing
- 5.1. Middleware
- 5.2. Development of middleware with new computer environments
- 5.2.1. Distribution
- 5.2.2. Mobility
- 5.2.3. Context awareness and adaptation
- 5.2.4. Ubiquitous computing
- 5.3. Main properties of middleware in ubiquitous computing
- 5.3.1. Heterogeneity and interoperability
- 5.3.2. Scalability
- 5.3.3. Mobility
- 5.3.4. Variability, unpredictability, extensibility, and spontaneous interactions
- 5.3.5. Dynamic adaptation
- 5.3.6. Context awareness
- 5.3.7. Security
- 5.3.8. Adapted and controlled response times
- 5.4. Bibliography
- Chapter 6. WComp, Middleware for Ubiquitous Computing and System Focused Adaptation
- 6.1. Service infrastructure in devices
- 6.1.1. Interoperability
- 6.1.2. Event communication
- 6.1.3. Appearance and disappearance
- 6.1.4. Decentralized dynamic discovery
- 6.1.5. WSOAD
- 6.2. Dynamic service composition
- 6.2.1. Composition of services for devices: LCA
- 6.2.2. Distributed composition: SLCA
- 6.3. Dynamic adaptation of applications to variations in their infrastructure
- 6.3.1. The principles of AOPs
- 6.3.2. Transverse adaptation
- 6.3.3. Summary
- 6.4. Bibliography
- Chapter 7. Data Access and Ambient Computing
- 7.1. Introduction
- 7.2. General context
- 7.2.1. Devices
- 7.2.2. Communication
- 7.2.3. Mobility
- 7.3. Types of queries
- 7.3.1. Location queries
- 7.3.2. Continuous queries
- 7.4. Data access models
- 7.4.1. The Pull model
- 7.4.2. The Push model
- 7.5. Query optimization
- 7.6. Sensitivity to context
- 7.7. Conclusion
- 7.8. Bibliography
- Chapter 8. Security and Ambient Systems: A Study on the Evolution of Access Management in Pervasive Information Systems
- 8.1. Introduction
- 8.2. Managing access in pervasive information systems
- 8.2.1. Basic access control models
- 8.2.2. Managing service-oriented access: the XACML standard
- 8.3. The evolution of context-aware RBAC models
- 8.3.1. Examples of context-aware models
- 8.3.2. Summary
- 8.4. Conclusion
- 8.5. Bibliography
- Chapter 9. Interactive Systems and User-Centered Adaptation: The Plasticity of User Interfaces
- 9.1. Introduction
- 9.2. The problem space of UI plasticity
- 9.2.1. Plasticity and elasticity
- 9.2.2. Adaptation capacity and its problem space
- 9.2.3. Context of use
- 9.2.4. Meta-UI and user control
- 9.2.5. Utility, usability and value
- 9.2.6. Summary
- 9.3. The CAMELEON reference framework for rational development of plastic UI
- 9.3.1. Relationships between models
- 9.3.2. Development process
- 9.4. The CAMELEON-RT run time infrastructure
- 9.4.1. Functional decomposition of CAMELEON-RT
- 9.4.2. Situation identifier
- 9.4.3. Evolution engine
- 9.4.4. Component manager
- 9.4.5. Adaptation producer
- 9.5. Our principles for implementing plasticity
- 9.6. Conclusion: lessons learned and open challenges
- 9.7. Appendices
- 9.7.1. There is plasticity and there is plasticity!
- 9.7.2. Implementation tools
- 9.8. Bibliography
- Chapter 10. Composition of User Interfaces
- 10.1. Problem
- 10.2. Case study
- 10.2.1. Description of the available services
- 10.2.2. Examples of services built by composition
- 10.3. Issues
- 10.4. State of the art in UI composition
- 10.4.1. Composition: a shared concern
- 10.4.2. UIs composition
- 10.4.3. The development process of UIs
- 10.4.4. Generation of UIs
- 10.4.5. Plasticity of UIs
- 10.4.6. Summary of the state of the art in UI composition
- 10.5. Two examples of approaches
- 10.5.1. Composition driven by the UI and the context of use: Compose
- 10.5.2. A resolution driven by the functional core: Alias
- 10.6. Key statements and propositions
- 10.7. Bibliography
- Chapter 11. Smart Homes for People Suffering from Cognitive Disorders
- 11.1. Introduction
- 11.2. The impact of cognitive disorders on society
- 11.2.1. Cognitive deficits have high human, social and economic costs
- 11.2.2. Cognitive assistance and remote monitoring: a source of hope
- 11.3. Cognitive disorders, relevant clients and research at DOMUS
- 11.3.1. Manifestations of cognitive difficulties in affected people
- 11.3.2. Fostering autonomy and aging in place
- 11.3.3. Accompanying caregivers
- 11.4. The objectives of the research program conducted at DOMUS
- 11.4.1. Benefits for individuals and society
- 11.4.2. Transforming the habitat of people with cognitive deficits
- 11.4.3. Building bridges between research, practice and users
- 11.5. Pervasive computing and ambient intelligence
- 11.6. An integrated and interdisciplinary approach to research
- 11.6.1. Guidelines and ethical lines that should not be crossed
- 11.6.2. Multidisciplinary solutions
- 11.6.3. Leaving the laboratory to evaluate, validate and transfer solutions
- 11.6.4. A concrete example of the research approach applied at DOMUS
- 11.7. Transforming a residence into an intelligent habitat
- 11.8. Research activities
- 11.8.1. Cognitive ortheses and remote monitoring
- 11.8.2. Cognitive assistance in the home
- 11.8.3. Cognitive assistance outside the home
- 11.8.4. Remote monitoring and organization of work between caregivers
- 11.8.5. The interactive AMELIS calendar: portal to an intelligent habitat
- 11.8.6. Accompanied social networking
- 11.8.7. Risk detection
- 11.8.8. Ambient intelligence: ubiquity, activity recognition and context awareness
- 11.8.9. Advanced user interfaces
- 11.8.10. Medical monitoring: gathering ecological data and physiological data
- 11.8.11. Cognitive modeling and personalization
- 11.8.12. Heterogeneous networks, distributed systems and use in real life
- 11.8.13. Identification, localization, simulation and artificial intelligence
- 11.8.14. Private life, security and reliability
- 11.8.15. Design and ergonomics
- 11.8.16. Clinical studies, usability studies
- 11.9. Conclusion
- 11.10. Bibliography
- Chapter 12. Pervasive Games and Critical Applications
- 12.1. Introduction
- 12.2. Pervasive games
- 12.2.1. "PSM: the game where you are the network"
- 12.3. Critical ubiquitous applications
- 12.3.1. Distributed black box
- 12.3.2. Safeguarding heritage
- 12.3.3. Summary
- 12.4. Conclusion
- 12.5. Bibliography
- Chapter 13. Intelligent Transportation Systems
- 13.1. Introduction
- 13.2. Software architecture
- 13.2.1. For what sort of applications?
- 13.2.2. Importance of the context
- 13.2.3. Services provided by the platform
- 13.2.4. Example of a platform
- 13.3. Dedicated transportation services and mode of communication
- 13.3.1. Transportation-oriented services that use an infrastructure
- 13.3.2. Exchange services between vehicles
- 13.4. Public transportation services
- 13.4.1. ICAU
- 13.4.2. Internet access on trains
- 13.5. Conclusion
- 13.6. Bibliography
- Chapter 14. Sociotechnical Ambient Systems: From Test Scenario to Scientific Obstacles
- 14.1. Introduction
- 14.2. Definitions and characteristics
- 14.3. Real-life scenario: Ambient Campus
- 14.4. Intuitive architectures
- 14.4.1. The building blocks of the Ambient Campus scenario
- 14.4.2. Limitations of simplistic infrastructures
- 14.4.3. Context and role bubbles
- 14.5. Scientific challenges
- 14.5.1. AmID
- 14.5.2. Network level
- 14.5.3. Middleware level
- 14.5.4. User service level
- 14.6. Conclusion
- 14.7. Acknowledgments
- 14.8. Bibliography
- List of Authors
- Index
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