{"product_id":"computer-science-and-ambient-intelligence-hardback-9781848214378","title":"Computer Science and Ambient Intelligence (Hardback) 9781848214378","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eComputer Science and Ambient Intelligence\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eGaëlle Calvary (Author), Thierry Delot (Author), Florence Sedes (Author), Jean-Yves Tigli (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781848214378, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 18 December 2012\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e352 pages\u003cbr\u003e23.1 x 16 x 2.5 cm, 0.658 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eThis book focuses on ambient intelligence and addresses various issues related to data management, networking and HCI in this context. Taking a holistic view, it covers various levels of abstraction, ranging from fundamental to advanced concepts and brings together the contributions of various specialists in the field.\u003c\/p\u003e \u003cp\u003eMoreover, the book covers the key areas of computer science concerned with the emergence of ambient intelligence (e.g. interaction, middleware, networks, information systems, etc.). It even goes slightly beyond the borders of computer science with contributions related to smart materials and ethics. The authors cover a broad spectrum, with some chapters dedicated to the presentation of basic concepts and others focusing on emerging applications in various fields such as health, transport and tourism.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Ambient Intelligence: Science or Fad? 1 \u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJoëlle COUTAZ and James L. CROWLEY\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Ambient intelligence: still young at 20 years 1\u003c\/p\u003e \u003cp\u003e1.2 A step forward in the evolution of informatics 3\u003c\/p\u003e \u003cp\u003e1.2.1 Fifty years ago: the computer as an isolated critical resource 3\u003c\/p\u003e \u003cp\u003e1.2.2 Thirty years ago: the user at the center of design 5\u003c\/p\u003e \u003cp\u003e1.2.3 The past decade: combining physical, social, and digital worlds 7\u003c\/p\u003e \u003cp\u003e1.3 Extreme challenges 10\u003c\/p\u003e \u003cp\u003e1.3.1 Multi-scale 10\u003c\/p\u003e \u003cp\u003e1.3.2 Heterogeneity 10\u003c\/p\u003e \u003cp\u003e1.3.3 Dynamic adaptation 11\u003c\/p\u003e \u003cp\u003e1.4 Conclusion 11\u003c\/p\u003e \u003cp\u003e1.5 Bibliography 12\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Thinking about Ethics 15\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eAnne-Marie BENOIT\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Ethics and fundamental rights 16\u003c\/p\u003e \u003cp\u003e2.2 Ethics and values 18\u003c\/p\u003e \u003cp\u003e2.3 Ethics and future perspectives 20\u003c\/p\u003e \u003cp\u003e2.4 Bibliography 20\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Sensor Networks 21\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJean CARLE, Michaël HAUSPIE, Nathalie MITTON, Tahiry RAZAFINDRALAMBO and David SIMPLOT-RYL\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 MAC layers for wireless sensor networks 21\u003c\/p\u003e \u003cp\u003e3.1.1 Challenges at MAClevel 21\u003c\/p\u003e \u003cp\u003e3.1.2 Energy consumption 22\u003c\/p\u003e \u003cp\u003e3.1.3 Parameters for evaluating a MAClayer 23\u003c\/p\u003e \u003cp\u003e3.1.4 MAC Protocols 23\u003c\/p\u003e \u003cp\u003e3.2 Topology control 24\u003c\/p\u003e \u003cp\u003e3.2.1 Range adjustment 25\u003c\/p\u003e \u003cp\u003e3.2.2 Spanning 27\u003c\/p\u003e \u003cp\u003e3.3 Routing 33\u003c\/p\u003e \u003cp\u003e3.3.1 Broadcast 33\u003c\/p\u003e \u003cp\u003e3.3.2 Classic routing 36\u003c\/p\u003e \u003cp\u003e3.3.3 Geographic routing 40\u003c\/p\u003e \u003cp\u003e3.4 Deployment of sensor networks 42\u003c\/p\u003e \u003cp\u003e3.4.1 Knowing the hardware 43\u003c\/p\u003e \u003cp\u003e3.4.2 Development process 45\u003c\/p\u003e \u003cp\u003e3.4.3 Ensuring stability 45\u003c\/p\u003e \u003cp\u003e3.4.4 Preparing for deployment 46\u003c\/p\u003e \u003cp\u003e3.5 Bibliography 47\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Smart Systems, Ambient Intelligence and Energy Sources: Current Developments and Future Applications 55\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eGeorges AKHRAS and Florence SÈDES\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 55\u003c\/p\u003e \u003cp\u003e4.2 Did you say “smart systems”? 56\u003c\/p\u003e \u003cp\u003e4.2.1 Smart materials 58\u003c\/p\u003e \u003cp\u003e4.2.2 Sensors and actuators 59\u003c\/p\u003e \u003cp\u003e4.2.3 Command and control unit 59\u003c\/p\u003e \u003cp\u003e4.2.4 Managing data and security 59\u003c\/p\u003e \u003cp\u003e4.3 Energy harvesting 60\u003c\/p\u003e \u003cp\u003e4.3.1 Initial applications 60\u003c\/p\u003e \u003cp\u003e4.3.2 Second generation 62\u003c\/p\u003e \u003cp\u003e4.3.3 Managing systems, processes and energy 62\u003c\/p\u003e \u003cp\u003e4.4 Wear able computers and smart fibers 63\u003c\/p\u003e \u003cp\u003e4.5 Other applications 64\u003c\/p\u003e \u003cp\u003e4.6 Conclusion 66\u003c\/p\u003e \u003cp\u003e4.7 Bibliography 68\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Middleware in Ubiquitous Computing 71\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVincent HOURDIN, Nicolas FERRY, Jean-Yves TIGLI, Stéphane LAVIROTTE and Gaëtan REY\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Middleware 71\u003c\/p\u003e \u003cp\u003e5.2 Development of middleware with new computer environments 71\u003c\/p\u003e \u003cp\u003e5.2.1 Distribution 72\u003c\/p\u003e \u003cp\u003e5.2.2 Mobility 73\u003c\/p\u003e \u003cp\u003e5.2.3 Context awareness and adaptation 74\u003c\/p\u003e \u003cp\u003e5.2.4 Ubiquitous computing 74\u003c\/p\u003e \u003cp\u003e5.3 Main properties of middleware in ubiquitous computing 75\u003c\/p\u003e \u003cp\u003e5.3.1 Heterogeneity and interoperability 76\u003c\/p\u003e \u003cp\u003e5.3.2 Scalability 77\u003c\/p\u003e \u003cp\u003e5.3.3 Mobility 77\u003c\/p\u003e \u003cp\u003e5.3.4 Variability, unpredictability, extensibility and spontaneous interactions 78\u003c\/p\u003e \u003cp\u003e5.3.5 Dynamic adaptation 80\u003c\/p\u003e \u003cp\u003e5.3.6 Context awareness 81\u003c\/p\u003e \u003cp\u003e5.3.7 Security 82\u003c\/p\u003e \u003cp\u003e5.3.8 Adapted and controlled response times 83\u003c\/p\u003e \u003cp\u003e5.4 Bibliography 84\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 WComp, Middleware for Ubiquitous Computing and System Focused Adaptation 89\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eNicolas FERRY, Vincent HOURDIN, Stéphane LAVIROTTE, Gaëtan REY and Jean-Yves TIGLI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Service infrastructure in devices 89\u003c\/p\u003e \u003cp\u003e6.1.1 Interoperability 92\u003c\/p\u003e \u003cp\u003e6.1.2 Event communication 93\u003c\/p\u003e \u003cp\u003e6.1.3 Appearance and disappearance 94\u003c\/p\u003e \u003cp\u003e6.1.4 Decentralized dynamic discovery 95\u003c\/p\u003e \u003cp\u003e6.1.5 WSOAD 96\u003c\/p\u003e \u003cp\u003e6.2 Dynamic service composition 97\u003c\/p\u003e \u003cp\u003e6.2.1 Composition of services for devices: LCA 98\u003c\/p\u003e \u003cp\u003e6.2.2 Distributed composition: SLCA 100\u003c\/p\u003e \u003cp\u003e6.3 Dynamic adaptation of applications to variations in their infrastructure 104\u003c\/p\u003e \u003cp\u003e6.3.1 The principles of AOPs 105\u003c\/p\u003e \u003cp\u003e6.3.2 Transverse adaptation 107\u003c\/p\u003e \u003cp\u003e6.3.3 Summary 117\u003c\/p\u003e \u003cp\u003e6.4 Bibliography 117\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Data Access and Ambient Computing 121\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eThierry DELOT and Marie THILLIEZ\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 121\u003c\/p\u003e \u003cp\u003e7.2 General context 122\u003c\/p\u003e \u003cp\u003e7.2.1 Devices 123\u003c\/p\u003e \u003cp\u003e7.2.2 Communication 123\u003c\/p\u003e \u003cp\u003e7.2.3 Mobility 123\u003c\/p\u003e \u003cp\u003e7.3 Types of queries 125\u003c\/p\u003e \u003cp\u003e7.3.1 Location queries 125\u003c\/p\u003e \u003cp\u003e7.3.2 Continuous queries 125\u003c\/p\u003e \u003cp\u003e7.4 Data access models 126\u003c\/p\u003e \u003cp\u003e7.4.1 The Pull model 126\u003c\/p\u003e \u003cp\u003e7.4.2 The Push model 127\u003c\/p\u003e \u003cp\u003e7.5 Query optimization 128\u003c\/p\u003e \u003cp\u003e7.6 Sensitivity to context 130\u003c\/p\u003e \u003cp\u003e7.7 Conclusion 131\u003c\/p\u003e \u003cp\u003e7.8 Bibliography 132\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Security and Ambient Systems: A Study on the Evolution of Access Management in Pervasive Information Systems 135\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eDana AL KUKHUN and Florence SÈDES\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 135\u003c\/p\u003e \u003cp\u003e8.2 Managing access in pervasive information systems 137\u003c\/p\u003e \u003cp\u003e8.2.1 Basic access control models 137\u003c\/p\u003e \u003cp\u003e8.2.2 Managing service-oriented access: the XACML standard 140\u003c\/p\u003e \u003cp\u003e8.3 The evolution of context-aware RBAC models 141\u003c\/p\u003e \u003cp\u003e8.3.1 Examples of context-aware models 141\u003c\/p\u003e \u003cp\u003e8.3.2 Summary 142\u003c\/p\u003e \u003cp\u003e8.4 Conclusion 143\u003c\/p\u003e \u003cp\u003e8.5 Bibliography 143\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Interactive Systems and User-Centered Adaptation: The Plasticity of User Interfaces 147\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJoëlle COUTAZ, Gaëlle CALVARY, Alexandre DEMEURE and Lionel BALME\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 147\u003c\/p\u003e \u003cp\u003e9.2 The problem space of UI plasticity 149\u003c\/p\u003e \u003cp\u003e9.2.1 Plasticity and elasticity 150\u003c\/p\u003e \u003cp\u003e9.2.2 Adaptation capacity and its problem space 150\u003c\/p\u003e \u003cp\u003e9.2.3 Context of use 159\u003c\/p\u003e \u003cp\u003e9.2.4 Meta-UI and user control 163\u003c\/p\u003e \u003cp\u003e9.2.5 Utility, usability and value 168\u003c\/p\u003e \u003cp\u003e9.2.6 Summary 169\u003c\/p\u003e \u003cp\u003e9.3 The CAMELEON reference framework for rational development of plastic UI 170\u003c\/p\u003e \u003cp\u003e9.3.1 Relationships between models 173\u003c\/p\u003e \u003cp\u003e9.3.2 Development process 175\u003c\/p\u003e \u003cp\u003e9.4 The CAMELEON-RT run time infrastructure 176\u003c\/p\u003e \u003cp\u003e9.4.1 Functional decomposition of CAMELEON-RT 177\u003c\/p\u003e \u003cp\u003e9.4.2 Situation identifier 178\u003c\/p\u003e \u003cp\u003e9.4.3 Evolution engine 179\u003c\/p\u003e \u003cp\u003e9.4.4 Component manager 179\u003c\/p\u003e \u003cp\u003e9.4.5 Adaptation producer 180\u003c\/p\u003e \u003cp\u003e9.5 Our principles for implementing plasticity 181\u003c\/p\u003e \u003cp\u003e9.6 Conclusion: lessons learned and open challenges 182\u003c\/p\u003e \u003cp\u003e9.7 Appendices 185\u003c\/p\u003e \u003cp\u003e9.7.1 There is plasticity and there is plasticity! 185\u003c\/p\u003e \u003cp\u003e9.7.2 Implementation tools 186\u003c\/p\u003e \u003cp\u003e9.8 Bibliography 193\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Composition of User Interfaces 203\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eGaëlle CALVARY, Anne-Marie DERY-PINNA, Audrey OCCELLO, Philippe RENEVIER and Yoann GABILLON\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Problem 203\u003c\/p\u003e \u003cp\u003e10.2 Case study 205\u003c\/p\u003e \u003cp\u003e10.2.1 Description of the available services 205\u003c\/p\u003e \u003cp\u003e10.2.2 Examples of services built by composition 207\u003c\/p\u003e \u003cp\u003e10.3 Issues 208\u003c\/p\u003e \u003cp\u003e10.4 State of the art in UI composition 210\u003c\/p\u003e \u003cp\u003e10.4.1 Composition: as hared concern 211\u003c\/p\u003e \u003cp\u003e10.4.2 UIs composition 211\u003c\/p\u003e \u003cp\u003e10.4.3 The development process of UIs 212\u003c\/p\u003e \u003cp\u003e10.4.4 Generation of UIs 213\u003c\/p\u003e \u003cp\u003e10.4.5 Plasticity of UIs 213\u003c\/p\u003e \u003cp\u003e10.4.6 Summary of the state of the art in UI composition 214\u003c\/p\u003e \u003cp\u003e10.5 Two examples of approaches 215\u003c\/p\u003e \u003cp\u003e10.5.1 Composition driven by the UI and the context of use: Compose 215\u003c\/p\u003e \u003cp\u003e10.5.2 A resolution driven by the functional core: Alias 218\u003c\/p\u003e \u003cp\u003e10.6 Key statements and propositions 220\u003c\/p\u003e \u003cp\u003e10.7 Bibliography 222\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Smart Homes for People Suffering from Cognitive Disorders 225\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSylvain GIROUX and Hélène PIGOT\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 225\u003c\/p\u003e \u003cp\u003e11.2 The impact of cognitive disorders on society 227\u003c\/p\u003e \u003cp\u003e11.2.1 Cognitive deficits have high human, social and economic costs 227\u003c\/p\u003e \u003cp\u003e11.2.2 Cognitive assistance and remote monitoring: a source of hope 228\u003c\/p\u003e \u003cp\u003e11.3 Cognitive disorders, relevant clients and research at DOMUS 228\u003c\/p\u003e \u003cp\u003e11.3.1 Manifestations of cognitive difficulties in affected people 228\u003c\/p\u003e \u003cp\u003e11.3.2 Fostering autonomy and aging in place 229\u003c\/p\u003e \u003cp\u003e11.3.3 Accompanying caregivers 231\u003c\/p\u003e \u003cp\u003e11.4 The objectives of the research program conducted at DOMUS 231\u003c\/p\u003e \u003cp\u003e11.4.1 Benefits for individuals and society 232\u003c\/p\u003e \u003cp\u003e11.4.2 Transforming the habitat of people with cognitive deficits 232\u003c\/p\u003e \u003cp\u003e11.4.3. Building bridges between research, practice and users 233\u003c\/p\u003e \u003cp\u003e11.5 Pervasive computing and ambient intelligence 233\u003c\/p\u003e \u003cp\u003e11.6 An integrated and interdisciplinary approach to research 234\u003c\/p\u003e \u003cp\u003e11.6.1 Guidelines and ethical lines that should not be crossed 234\u003c\/p\u003e \u003cp\u003e11.6.2 Multidisciplinary solutions 235\u003c\/p\u003e \u003cp\u003e11.6.3 Leaving the laboratory to evaluate, validate and transfer solutions 235\u003c\/p\u003e \u003cp\u003e11.6.4 A concrete example of the research approach applied at DOMUS 236\u003c\/p\u003e \u003cp\u003e11.7 Transforming a residence into an intelligent habitat 236\u003c\/p\u003e \u003cp\u003e11.8 Research activities 238\u003c\/p\u003e \u003cp\u003e11.8.1 Cognitive or theses and remote monitoring 239\u003c\/p\u003e \u003cp\u003e11.8.2 Cognitive assistance in the home 239\u003c\/p\u003e \u003cp\u003e11.8.3 Cognitive assistance outside the home 240\u003c\/p\u003e \u003cp\u003e11.8.4 Remote monitoring and organization of work between caregivers 241\u003c\/p\u003e \u003cp\u003e11.8.5 The interactive AMELIS calendar: portal to an intelligent habitat 241\u003c\/p\u003e \u003cp\u003e11.8.6 Accompanied social networking 242\u003c\/p\u003e \u003cp\u003e11.8.7 Risk detection 242\u003c\/p\u003e \u003cp\u003e11.8.8 Ambient intelligence: ubiquity, activity recognition and context awareness 243\u003c\/p\u003e \u003cp\u003e11.8.9 Advanced user interfaces 243\u003c\/p\u003e \u003cp\u003e11.8.10 Medical monitoring: gathering ecological data and physiological data 244\u003c\/p\u003e \u003cp\u003e11.8.11 Cognitive modeling and personalization 245\u003c\/p\u003e \u003cp\u003e11.8.12 Heterogeneous networks, distributed systems and use in real life 246\u003c\/p\u003e \u003cp\u003e11.8.13 Identification, localization, simulation and artificial intelligence 247\u003c\/p\u003e \u003cp\u003e11.8.14 Private life, security, and reliability 248\u003c\/p\u003e \u003cp\u003e11.8.15 Design and ergonomics 248\u003c\/p\u003e \u003cp\u003e11.8.16 Clinical studies, usability studies 248\u003c\/p\u003e \u003cp\u003e11.9 Conclusion 253\u003c\/p\u003e \u003cp\u003e11.10 Bibliography 254\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Pervasive Games and Critical Applications 263\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eIsabelle ASTIC, Coline AUNIS, Jérome DUPIRE, Viviane GAL, Eric GRESSIER-SOUDAN, Christophe PITREY, Matthieu ROY, Françoise SAILHAN, Michel SIMATIC, Alexandre TOPOL and Emanuel ZAZA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 263\u003c\/p\u003e \u003cp\u003e12.2 Pervasive games 264\u003c\/p\u003e \u003cp\u003e12.2.1 “PSM: the game where you are the network” 266\u003c\/p\u003e \u003cp\u003e12.3 Critical ubiquitous applications 275\u003c\/p\u003e \u003cp\u003e12.3.1 Distributed black box 275\u003c\/p\u003e \u003cp\u003e12.3.2 Safeguarding heritage 278\u003c\/p\u003e \u003cp\u003e12.3.3 Summary 280\u003c\/p\u003e \u003cp\u003e12.4 Conclusion 281\u003c\/p\u003e \u003cp\u003e12.5 Bibliography 282\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Intelligent Transportation Systems 285\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMikael DESERTOT, Sylvain LECOMTE, Christophe GRANSART and Thierry DELOT\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 285\u003c\/p\u003e \u003cp\u003e13.2 Software architecture 286\u003c\/p\u003e \u003cp\u003e13.2.1 For what sort of applications? 286\u003c\/p\u003e \u003cp\u003e13.2.2 Importance of the context 287\u003c\/p\u003e \u003cp\u003e13.2.3 Services provided by the platform 288\u003c\/p\u003e \u003cp\u003e13.2.4 Example of a platform 293\u003c\/p\u003e \u003cp\u003e13.3 Dedicated transportation services and mode of communication 294\u003c\/p\u003e \u003cp\u003e13.3.1 Transportation-oriented services that use an infrastructure 295\u003c\/p\u003e \u003cp\u003e13.3.2 Exchange services between vehicles 295\u003c\/p\u003e \u003cp\u003e13.4 Public transportation services 301\u003c\/p\u003e \u003cp\u003e13.4.1 ICAU 301\u003c\/p\u003e \u003cp\u003e13.4.2 Internet access on trains 303\u003c\/p\u003e \u003cp\u003e13.5 Conclusion 303\u003c\/p\u003e \u003cp\u003e13.6 Bibliography 304\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Sociotechnical Ambient Systems: From Test Scenario to Scientific Obstacles 307\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eGeorges DA COSTA, Jean-Pierre GEORGÉ and Marie-Pierre GLEIZES\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 307\u003c\/p\u003e \u003cp\u003e14.2 Definitions and characteristics 308\u003c\/p\u003e \u003cp\u003e14.3 Real-life scenario: \u003ci\u003eAmbient Campus\u003c\/i\u003e 311\u003c\/p\u003e \u003cp\u003e14.4 Intuitive architectures 313\u003c\/p\u003e \u003cp\u003e14.4.1 The building blocks of the Ambient Campus scenario 314\u003c\/p\u003e \u003cp\u003e14.4.2 Limitations of simplistic infrastructures 314\u003c\/p\u003e \u003cp\u003e14.4.3 Context and role bubbles 315\u003c\/p\u003e \u003cp\u003e14.5 Scientific challenges 316\u003c\/p\u003e \u003cp\u003e14.5.1 AmID 318\u003c\/p\u003e \u003cp\u003e14.5.2 Network level 319\u003c\/p\u003e \u003cp\u003e14.5.3 Middleware level 320\u003c\/p\u003e \u003cp\u003e14.5.4 User service level 321\u003c\/p\u003e \u003cp\u003e14.6 Conclusion 324\u003c\/p\u003e \u003cp\u003e14.7 Acknowledgments 325\u003c\/p\u003e \u003cp\u003e14.8 Bibliography 325\u003c\/p\u003e \u003cp\u003eList of Authors 329\u003c\/p\u003e \u003cp\u003eIndex 333\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-ISTE","offers":[{"title":"Brand New","offer_id":52449379189016,"sku":"9781848214378","price":100.57,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781848214378.jpg?v=1785197361","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/computer-science-and-ambient-intelligence-hardback-9781848214378","provider":"Freshly Printed Books","version":"1.0","type":"link"}