Embedded and Ubiquitous Computing – EUC 2005 Workshops: EUC by Naoharu Yamada, Kenji Sakamoto, Goro Kunito, Kenichi

By Naoharu Yamada, Kenji Sakamoto, Goro Kunito, Kenichi Yamazaki, Satoshi Tanaka (auth.), Tomoya Enokido, Lu Yan, Bin Xiao, Daeyoung Kim, Yuanshun Dai, Laurence T. Yang (eds.)

This booklet constitutes the refereed complaints of the EUC 2005 workshops held along with the IFIP overseas convention on Embedded and Ubiquitous Computing, EUC 2005, in Nagasaki, Japan in December 2005.

The 132 revised complete papers awarded have been conscientiously reviewed and chosen from 352 submissions. subject matters lined through the 5 workshops are ubiquitous intelligence and shrewdpermanent worlds (UISW 2005), network-centric ubiquitous structures (NCUS 2005), protection in ubiquitous computing platforms (SecUbiq 2005), RFID and ubiquitous sensor networks (USN 2005), and depended on and autonomic ubiquitous and embedded platforms (TAUES 2005).

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Additional resources for Embedded and Ubiquitous Computing – EUC 2005 Workshops: EUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES, Nagasaki, Japan, December 6-9, 2005. Proceedings

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Jp Abstract. This paper proposes human activity recognition based on the actual semantics of the human’s current location. Since predefining the semantics of location is inadequate to identify human activities, we process information about things to automatically identify the semantics based on the concept of affordance. Ontology is used to deal with the various possible representations of things detected by RFIDs, and a multi-class Naïve Bayesian approach is used to detect multiple actual semantics from the terms representing things.

A service can be free, reserved, busy or busy reserved, its dependencies can be satisfied, unsatisfied or satisfying, and its current available capacity varies with its workload. Dynamic information is initialized as free, unsatisfied and maximum capacity, and is dynamically updated by the service provider in case of changes. Since OWL-S doesn’t take many considerations on the runtime status of a service, we use XML language to describe the dynamic information to supplement the description of a service.

Therefore, there are spatial relationships among activity spaces such as inclusion, overlap, and adjacency. This characteristic raises the fact that multiple activity spaces can occupy the same spatial position. Therefore, a key technical issue on activity space is multiple activity space detection. 2 Thing-Oriented Activity Spaces Detection and Its Difficulties People can generally recognize an activity space simply by “looking at” it. For example, if people look at a kitchen in a house, they can recognize it as a cooking AS.

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