Titlebook: Ubiquitous Intelligence and Computing; 6th International Co Daqing Zhang,Marius Portmann,Jadwiga Indulska Conference proceedings 2009 Sprin

rectum

An Efficient Approach to Situation-Aware Service Discovery in Pervasive Service Computing Environmending available service resources, users’ preferences and the physical environment, changes more dynamically. Our service discovery approach exploits the network asymmetry and incorporates situational information while keeping low network overhead. Our simulation results show that our approach discovers services efficiently.

eucalyptus

A Framework to Calibrate a MEMS Sensor Networkrion. The article presents Sensor Network Calibrator (SNC), a calibrator which allows to parametrize the Smart Surface and to determine the necessary number of sensors required by our Smart Surface. The tests will show that SNC is of great importance for choosing the number of sensors, and therefore to determine the size of the sensors grid.

搖晃

interference

Distributed Computing in Opportunistic Environmentsadigms for such problems as synchronization and trust will be investigated. Results of ongoing research work on information dissemination, collaboration and trust will be presented. The research work is supported through an NSF grant.

conspicuous

Aspiration

Hybrid Bluetooth Scatternet Routings. The reactive part utilizes a route discovery mechanism and establishes inter-piconet .. The route request dissemination, for both destination and service-based route discovery, is performed using a probabilistic gossiping strategy to reduce routing load.

conservative

SDEC: A P2P ,emantic ,istance ,mbedding Based on Virtual ,oordinate Systemspring system, to simulate the semantic embedding procedure, which can find minimal energy configuration corresponding to relatively accurate semantic embedding. Simulation results show that a 3-dimensional Euclidean model can embed these peers with relatively high accuracy.

膝蓋

ambivalence

OASIS

Inferring Human Interactions in Meetings: A Multimodal Approach inference models, we can successfully infer human interactions with a recognition rate around 80%, and our multimodal approach achieves robust and reliable results by leveraging on the characteristics of each single modality.