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This book provides an introduction to the complex field of
ubiquitous computing
Ubiquitous Computing (also commonly referred to as
Pervasive Computing) describes the ways in which current
technological models, based upon three base designs: smart (mobile,
wireless, service) devices, smart environments (of embedded system
devices) and smart interaction (between devices), relate to and
support a computing vision for a greater range of computer devices,
used in a greater range of (human, ICT and physical) environments
and activities. The author details the rich potential of ubiquitous
computing, the challenges involved in making it a reality, and the
prerequisite technological infrastructure. Additionally, the book
discusses the application and convergence of several current major
and future computing trends.
Key Features:
Provides an introduction to the complex field of ubiquitous
computing
Describes how current technology models based upon six
different technology form factors which have varying degrees of
mobility wireless connectivity and service volatility: tabs, pads,
boards, dust, skins and clay, enable the vision of ubiquitous
computing
Describes and explores how the three core designs (smart
devices, environments and interaction) based upon current
technology models can be applied to, and can evolve to, support a
vision of ubiquitous computing and computing for the future
Covers the principles of the following current technology
models, including mobile wireless networks, service-oriented
computing, human computer interaction, artificial intelligence,
context-awareness, autonomous systems, micro-electromechanical
systems, sensors, embedded controllers and robots
Covers a range of interactions, between two or more UbiCom
devices, between devices and people (HCI), between devices and the
physical world.
Includes an accompanying website with PowerPoint slides,
problems and solutions, exercises, bibliography and further
reading
Graduate students in computer science, electrical engineering
and telecommunications courses will find this a fascinating and
useful introduction to the subject. It will also be of interest to
ICT professionals, software and network developers and others
interested in future trends and models of computing and interaction
over the next decades.
Auteur
Stefan Poslad holds a PhD in computing from the University of Newcastle upon Tyne, UK. He is currently a lecturer and a researcher in the Intelligent Communication Lab at QMUL He has extensive experience at developing and delivering course material in related areas and at applying ambient intelligent approaches involving agents, context aware, smart mobile devices and sensors. Michael Berger has been involved in Computer Science research for the last 12 years, specializing in Computer Supported Cooperative Work (CSCW), Distributed and Ubiquitous Systems as well as Multi-Agent Systems research.? Since 1997 Dr. Berger is a member of the Intelligent Autonomous Systems research group at Siemens Corporate Technology (CT) in Munich and is involved in several technical and team management functions, responsible for product developments in the telematics area and chair of several activities. Since 2002 Dr. Berger has been heading the technology and competence field "Mobile and Ambient Intelligence Technologies" within Siemens CT. Robert M. Patton is a research associate with the Applied Software Engineering Research group of Oak Ridge National Laboratory.? He is currently the principle investigator of the Orion Project, which focuses on the application of intelligent software agents for sensor data fusion. In addition, Dr. Patton works on a number of different projects involving software agents, computational intelligence, and applications to information fusion. Patricia Charlton has over 15 years of research experience in the field of Artificial Intelligence and Multi-Agent systems. This experience covers all aspects from project inception and proposal, through design and implementation, on to end user studies and field trials of the systems developed. This includes being prime coordinator of two large EU projects. Experienced in strategic, management and technical roles within Motorola Labs and author of over 50 papers in the field of AI and multi-agent systems and of 9 filed patents.
Résumé
This book provides an introduction to the complex field of ubiquitous computing Ubiquitous Computing (also commonly referred to as Pervasive Computing) describes the ways in which current technological models, based upon three base designs: smart (mobile, wireless, service) devices, smart environments (of embedded system devices) and smart interaction (between devices), relate to and support a computing vision for a greater range of computer devices, used in a greater range of (human, ICT and physical) environments and activities. The author details the rich potential of ubiquitous computing, the challenges involved in making it a reality, and the prerequisite technological infrastructure. Additionally, the book discusses the application and convergence of several current major and future computing trends.
Key Features:
Contenu
List of Figures xix
List of Tables xxiii
Preface xxv
Acknowledgements xxvii
1 Ubiquitous Computing: Basics and Vision 1
1.1 Living in a Digital World 1
1.1.1 Chapter Overview 2
1.1.2 Illustrative Ubiquitous Computing Applications 2
1.1.2.1 Personal Memories 3
1.1.2.2 Adaptive Transport Scheduled Service 5
1.1.2.3 Foodstuff Management 5
1.1.2.4 Utility Regulation 6
1.1.3 Holistic Framework for UbiCom: Smart DEI 7
1.2 Modelling the Key Ubiquitous Computing Properties 8
1.2.1 Core Properties of UbiCom Systems 9
1.2.2 Distributed ICT Systems 9
1.2.2.1 Networked ICT Devices 10
1.2.2.2 Transparency and Openness 10
1.2.3 Implicit HumanComputer Interaction (iHCI) 11
1.2.3.1 The Calm Computer 11
1.2.3.2 Implicit Versus Explicit HumanComputer Interaction 12
1.2.3.3 Embodied Reality versus Virtual, Augmented and Mediated Reality 12
1.2.4 Context-Awareness 13
1.2.4.1 Three Main Types of Environment Context: Physical, User, Virtual 14
1.2.4.2 User-Awareness 14
1.2.4.3 Active Versus Passive Context-Awar…