Download Ambient Intelligence: Second European Symposium, EUSAI 2004, by Jürgen Bohn, Friedemann Mattern (auth.), Panos Markopoulos, PDF

By Jürgen Bohn, Friedemann Mattern (auth.), Panos Markopoulos, Berry Eggen, Emile Aarts, James L. Crowley (eds.)

This quantity of the LNCS is the formal lawsuits of the 2d eu Symposium on Ambient Intelligence, EUSAI 2004. This occasion used to be hung on November 8–10, 2004 on the Eindhoven collage of know-how, in Eindhoven, the Netherlands. EUSAI 2004 a profitable first occasion in 2003, equipped via Philips learn. This grew to become out to be a well timed initiative that created a discussion board for bringing jointly ecu researchers, engaged on diverse disciplines all contributing in the direction of the human-centric technological imaginative and prescient of ambient intelligence. in comparison to meetings engaged on comparable and overlapping fields, the 1st EUSAI used to be characterised through a robust commercial concentration mirrored within the software committee and the content material of this system. As software chairs of EUSAI 2004 we attempted to maintain the nature for this occasion and its mixed specialize in the 4 significant thematic parts: ubiquitous computing, context know-how, intelligence, and ordinary interplay. additional, we attempted to make EUSAI 2004 develop right into a full-fledged double-track convention, with surrounding occasions like tutorials and really expert workshops, a poster and demonstration exhibition and a scholar layout pageant. The convention software integrated 3 invited keynotes, Ted Selker from MIT, Tom Rodden from the collage of Nottingham and Tom Erickson from IBM.

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Extra info for Ambient Intelligence: Second European Symposium, EUSAI 2004, Eindhoven, The Netherlands, November 8-11, 2004. Proceedings

Sample text

The detailed analysis and design of the software using an agent-oriented software engineering methodology, GAIA, is described in Mobile VCE technical reports. Jatlite is used as the agent framework for the implementation of the software [12]. The general architecture of the software is shown in Figure 5. Personal Agent (PA) is the user’s personalised agent, which is responsible for various actions from diary and calendar management to filtering Internet contents and arranging meetings. The Location Detector Agent (LDA) recognises user movement through sensors and reports it to the user.

H. Aghvami considered as relatively small and the data size for agent migration is assumed to be 150KB. This data size includes the user profile and the last changes the user has made in his calendar and diary. The agent state has been assumed to be zero and is 1KB. Fig. 2. Part of the use-case scenario The interaction of with and could be asking for intended route information, a videoconference or any other type of services. The interaction vector (R), request and reply sizes for each interaction can be found in Table 2.

When the user is outdoors the connection between the personal agent, located in the car or mobile terminal, to the core network is power and bandwidth consuming. Therefore, in order to save power and bandwidth, the personal agent can migrate from the home to the wired side of the wireless network instead of the mobile terminal. The mobile terminal needs to connect just when receiving the result. This policy is particularly useful when the mobile terminal is not capable of running the agents. Personal agents can also play the role of an intermediary server, by migrating to the fixed network, which has access to high bandwidth links and large computational resources.

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