%0 Journal Article
%T Situation-driven Framework for Context-aware Computing<br>一种场景驱动的情境感知计算框架
%A XU Bu-kan ZHOU Xing-she LIANG Yun-ji WANG Hai-peng YU Zhi-wen
%A <br>徐步刊
%A 周兴社
%A 梁韵基
%A 王海鹏
%A 於志文
%J 计算机科学
%D 2012
%I 
%X Context aware systems generally use contexts to drive higher applications. Because context information is di- verse in types and values,the systems developed are poor in extensibility and stability. This paper proposed a situation- driven model for context awareness computing. The framework is based on situation information, and it can shield the heterogeneity and diversity of original context information. Situation-recognition is the kernel of this framework. The situation is recognized from basic context information,and is used to drive related applications. This framework simpli- fies the processing on designing a system, and is helpful in improving the systems' extensibility and stability. The mech- anism of situation recognition based on neural network avoids the problem of knowledge explosion when it uses the mechanism of reasoning. A prototype system was implemented, and it validated the proposed infrastructure.
%K Context awareness
%K Situation recognition
%K Artificial neural network
%K Pervasive computing<br>情境感知
%K 场景识别
%K 人工神经网络
%K 普适计算
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=D5B7C4A24E11D7BA2573EA5E40774964&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=38B194292C032A66&sid=CEC789B3C68C3BB3&eid=8B59EA573021D671&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0