动态上下文感知普适计算应用系统的实现方法

Jinjiao Lin, Chengxiang Song, Haiyang Wang
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引用次数: 3

摘要

上下文感知的普适计算应用系统应该能够灵活地适应上下文和应用需求的动态变化,主动为用户提供符合当前上下文的信息。(K. Henricksen和J. Indulska, 2004)提出的基于偏好模型的概念模型和开发方法可以在一定程度上满足上下文感知普适计算应用的自适应。然而,该模型不能很容易地描述模糊事实。此外,当系统行为的约束发生变化时,需要修改代码。基于它们的产生,本文提出了一类规则,用算子谓词逻辑表示模糊事实,并提出了一种基于该类规则的开发方法。因此,使用这种方法开发的上下文感知普适计算系统在系统行为约束发生变化时不需要修改代码。这样的系统可以更好地适应动态变化,并主动提供信息。此外,可以更准确地表达上下文感知普适计算应用系统的需求。最后,通过实验和算例验证了该模型和方法的可行性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Implementing Approach to Dynamic Context-Aware Pervasive Computing Application System
Context-aware pervasive computing application system should be flexibly adaptable to dynamic changes of context and application requirements and proactively provide the information satisfied with current context for users. The concept model and developing approach based on preference model presented by (K. Henricksen and J. Indulska, 2004) can satisfy the adaptation of context-aware pervasive computing application in a certain extent. However, this model can't easily describe fuzzy fact. Moreover, codes need be modified when constraints on system behavior have changed. Based on their production, this paper presents one type of rule, expresses fuzzy fact using operator predicate logic and presents a developing approach based on this type of rule. Therefore, the context-aware pervasive computing system developed using this approach need not modify codes when constraints on system behavior have changed. Such system can be more adaptive to dynamic changes and proactively provide information. In addition, requirements of context-aware pervasive computing application system can be expressed more accurately. Finally, experiments and examples prove that the model and approach proposed are feasible
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