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Constructing Ambient Intelligence
Ambient intelligence (AmI) was established in the late 1990s as a recent paradigm for electronic environments for the timeframe of 2010–2020. AmI is essentially an elabo- tion of Mark Weiser’s vision of ubiquitous computing. Weiser was aiming at a novel mobile computing infrastructure integrated into the networked environment of people. AmI is the idea of a technology that will become invisibly embedded in our natural s- roundings, present whenever we need it, enabled by simple and effortless interaction, attuned to all our senses, adaptive to users, context-sensitive, and autonomous. AmI refers to smart electronic environments that are sensitive and responsive to the presence of people....
Wearable Ehealth Systems for Personalised Health Management
This book consists of papers describing developments and trends all over the world in the areas of smart wearable monitoring and diagnostic systems, smart treatment systems, biomedical clothing and smart fibres and fabrics.
Internet of Things
The book aims to provide a broad overview of various topics of the Internet of Things (IoT) from the research and development priorities to enabling technologies, architecture, security, privacy, interoperability and industrial applications. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC ? Internet of Things European Research Cluster from technology to international cooperation and the global state of play. The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, develop...
Agile Development of Diagnostic Knowledge Systems
The success of diagnostic knowledge systems has been proved over the last decades. Nowadays, intelligent systems are embedded in machines within various domains or are used in interaction with a user for solving problems. However, the development of a knowledge system is still a critical issue. Similarly to projects dealing with customized software at a highly innovative level a precise specification often cannot be given in advance. Moreover, necessary requirements of the knowledge system can be defined not until the project has been started or are changing during the development phase. This thesis motivates that classical, document-centered approaches cannot be applied in such a setting. W...
Ambient Intelligence
This volume contains the proceedings of the Second European Ambient Intelligence (AmI) Conference. The conference took place in Erlangen and Nürnberg, November 19–22, 2008. The concept of ambient intelligence (AmI) was introduced in the late 1990s as a novel paradigm for electronic environments for the years 2010-2020. It builds on the early visions of Weiser describing a novel mobile computing infrastr- ture integrated into the networked environment of people. According to early defi- tions, AmI refers to smart electronic surroundings that are sensitive and responsive to the presence of people. The added value for the multi-dimensional society we are living in lies in the fact that the l...
Constructing Ambient Intelligence
Ambient intelligence (AmI) was established in the late 1990s as a recent paradigm for electronic environments for the timeframe of 2010–2020. AmI is essentially an elabo- tion of Mark Weiser’s vision of ubiquitous computing. Weiser was aiming at a novel mobile computing infrastructure integrated into the networked environment of people. AmI is the idea of a technology that will become invisibly embedded in our natural s- roundings, present whenever we need it, enabled by simple and effortless interaction, attuned to all our senses, adaptive to users, context-sensitive, and autonomous. AmI refers to smart electronic environments that are sensitive and responsive to the presence of people....
Wissensbasierte Diagnosesysteme im Service-Support
Industriepraktiker, Informatiker und Soziologen berichten über ihre Konzepte und Erfahrungen bei der Entwicklung und dem Einsatz wissensbasierter Diagnosesysteme im Service-Support. Dabei wird Fachwissen zur Lösung von Kundenproblemen formalisiert und ggf. mit elektronisch bereits vorhandenen Dokumenten wie z.B. Handbüchern verknüpft. Je nach betrieblicher Situation können Kunden so direkt über das Internet oder über die Hotline eines Intranets bei der Fehlerbehebung unterstützt werden. Der Hauptaufwand besteht in der Entwicklung und Pflege der Wissensbasis. Um ihn zu verringern, werden eine Reihe bekannter und neuer Strategien vorgestellt. Dazu gehören Wissensformalisierungsmuster, Wissensmodularisierung durch kooperierende Diagnoseagenten, Selbstakquisition und begrenzte Systemeinsätze zur betrieblichen Einführung. Die beigelegte CD-ROM enthält zwei Tutorials und eine Demo-Version des Diagnostik-Shellbaukastens D3, mit der die Leser mühelos selber Prototypen entwickeln können.
