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The evaluation of quality of service is a credible guarantee of pervasive service, particularly, it is a key link of the supervision to the service provider in the application of healthcare pervasive service. To ensure the quality of services in pervasive computing systems, a new system PXS and a new service quality estimation method, Local Fuzzy Comprehensive Estimation (LFCE) is proposed in this...
In a pervasive computing environment, the personalized recommender system incorporates contexts into recommendation and becomes a multiple dimensional decision expert system. In this paper, we present DFre, a distributed fuzzy reasoning engine for personalization recommendation. With difference from those existing rule-based systems, the DFre puts an emphasis on the distribution of the recommendation...
Pervasive computing is booming research field, in which innovative techniques and applications are continuously forming to provide users with high quality ambient and personalized services. Applications available for end-users have become increasingly abundant, distributed and heterogeneous in pervasive computing environment. How to share and utilize these applications is a significant research problem...
In pervasive computing environments, users can interact with a wide range of services, but which do not include legacy application services such as interactive desktop applications. How to use legacy service as a kind of transparent service mechanism in a pervasive computing environment is an important problem to solve during the transition from personal computing to pervasive computing. This paper...
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