
SmartShadow: Models and Methods for Pervasive Computing
Zhaohui WuSmartShadow: Models and Methods for Pervasive Computing offers a new perspective on pervasive computing with SmartShadow, which is designed to model a user as a personality shadow and to model pervasive computing environments as user-centric dynamic virtual personal spaces. Just like human beings shadows in the physical world, it follows people wherever they go, providing them with pervasive services. The model, methods, and software infrastructure for SmartShadow are presented and an application for smart cars is also introduced.
The book can serve as a valuable reference work for researchers and graduate students in the field of pervasive/ubiquitous computing. Zhaohui Wu is a Professor at Zhejiang University, Hangzhou, China. Gang Pan is a Professor at the same institute.
SmartShadow: Models and Methods for Pervasive Computing Advanced Topics in Science and Technology in China: Amazon.es: Zhaohui Wu, Gang Pan: Libros en idiomas extranjeros
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SmartShadow: Models and Methods for Pervasive Computing offers a new perspective on pervasive computing with SmartShadow, which is designed to model a user as a personality “shadow” and to model pervasive computing environments as user-centric dynamic virtual personal spaces. Just like human beings’ shadows in the physical world, it follows people wherever they go, providing them with

SmartShadow Model | Request PDF Request PDF | SmartShadow Model | Pervasive computing has become an emerging paradigm of next-generation computing. This chapter attempts to model pervasive computing as a | Find, read and cite

SmartShadow: Models and Methods for Pervasive Computing von Zhaohui Wu, Gang Pan (ISBN 978-3-642-36382-5) online kaufen | Sofort-Download - lehmanns.de

SmartShadow: Models and Methods for …

Abstract. The capability of context-awareness is indispensable in developing a SmartShadow system. However, there are many challenges to be covered, such as context acquisition, context modeling, context reasoning, and context distribution and utilization.