Research On Context-aware Computing For Self-adaption In Automotive Ubiquitous Computing Environment

With the rapid development of information technology, the traditional desktop computing model cannot meet the requirements of human-beings. As a kind of"people-centric"model, Ubiquitous Computing emerged at the right moment. Under the model of Ubiquitous Computing, computing devices exist invisibly in person's living environment, it can meet people's needs in transparent way at any time and any place with anyway. This will help people get rid of the shackles of computing devices, focus on the task itself, and improve work efficiency greatly, so as to make people's work and life more convenient.Ubiquitous Computing environment is merged by information space and physical space, the service mode of"people-centric"require computing devices to be able to recognize the change of surrounding environment and people's needs, and adaptively adjust itself to provide high quality services, so the context perception technology is the key for realizing the ubiquitous computing technology. Whether or not the context information can play a role in the system's adaptive process and whether or not the stability of adaptive system is good depend on three aspects: First, the methods of acquire and processing context information. Second, how can the context information to participate in the system's adaptive process. Third, in the face of various kinds and frequently changing context, whether or not the adaptive mechanism can continuous operation in stable way. To solve the problem mentioned above, this paper aim at self-adaption of the Ubiquitous Computing system for context perception research, and present an adaptive model which based on context perception and using the change of context to drive the process of self-adaption. This article mainly contains the following three sections:1,Research the concept and intension of ubiquitous computing, context perception technology and adaptive technology, in-depth studied the status and progress at home and abroad, conducted and comparative analyzed both advantages and disadvantages of classical project, and put forward the concept of Automobile Ubiquitous Computing. 2,Present an adaptive model which based on context-aware. This model is constituted by collection and interpretation of context information, context information filtering, to eliminate context information inconsistency, integration of context information, context information management and adaptive decision-making. The priority of this research is as follows: context information filtering, the elimination of inconsistency, integration of context information, to start with, this paper proposed a filter method which based on Bayesian theorem, and proposed a information filtering methods which for realistic based on Automotive Ubiquitous Computing. Then analyzed the inconsistency of context information, finally designed a fusion method of context information for multi-user.3,To apply the adaptive model in the automotive ubiquitous computing, first, the paper analyzed the adaptive needs of automobile ubiquitous computing, then designed an automobile ubiquitous computing experiment which is according to the demand for multi-user, at the end combined with the algorithm presented in chapter 3 and the actual situation to analyze and processing the context information.