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A bigraph-based framework for specification and analysis of context-aware systems

机译：基于双向图的框架，用于规范和分析上下文感知的系统

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Context-aware systems refer to a particular class of ubiquitous computing in which, systems are able to sense environmental information and adapt their behaviour accordantly. However, the key challenge in the ubiquitous computing lies in providing a consistent model in order to deal with the increasing complexity and variety of context-aware systems. In this paper, we present a rigorous approach based on bigraphical reactive systems for modelling the main features of context-aware systems. The proposed approach provides a clear separation between the part of the system which is affected by the context and the remaining part. Moreover, it is equipped with a domain-specific tool, so-called BigCAS-Tool, which supports the modelling and execution of context-aware systems models. BigCAS-Tool features and capabilities are illustrated through a case study of a traffic sign recognition system.
机译：上下文感知系统是指一类普适计算，其中系统能够感知环境信息并相应地调整其行为。但是，普适计算中的关键挑战在于提供一致的模型，以应对不断增长的复杂性和各种上下文感知系统。在本文中，我们提出了一种基于双向反应系统的严格方法，用于对上下文感知系统的主要特征进行建模。所提出的方法在受上下文影响的系统部分与其余部分之间提供了清晰的分隔。而且，它配备了特定领域的工具，即BigCAS-Tool，它支持上下文感知系统模型的建模和执行。通过对交通标志识别系统的案例研究来说明BigCAS-Tool的功能。

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