为了推理移动用户在智能空间的活动，提出了基于隐马尔科夫模型的上下文感知活动计算。
The context-aware activity computing based on hidden Markov model was proposed to predict the activity of mobile user in a smart space.
上下文感知系统作为普适计算的一种重要体现，正成为当前研究的热点。
As an important embodiment of ubiquitous computing, context-aware systems which are becoming a hot spot of research.
普适计算环境下的上下文感知需要对已有的数据进行处理，并从这些数据中获取相互关联的深层信息。
In the pervasive computing environment, context awareness need to process existed data and acquire the deep interrelation information from these data.
提出了一个适合普适计算环境的、基于本体的形式化的上下文感知模型。
This paper puts forward a formal context model based on ontology, which is suitable for pervasive computing environment.
提出了一个适合普适计算环境的、基于本体的形式化的上下文感知模型。
This paper puts forward a formal context model based on ontology, which is suitable for pervasive computing environment.
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