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The CASAD Matrix Method: Introduction of a Technique for the Documentation, Analysis, and Optimization of Context-Aware Systems

机译:Casad Matrix方法:引入文档,分析和上下文感知系统的优化技术

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The availability of precise sensors and the extensive usage of smart devices enable the development of systems that can sense their environment and recognize specific contexts. In recent years, so-called context-aware systems gained increasing popularity as they can provide situational assistance and automate nondeterministic processes. Despite their advantages, these systems still play a minor role in industrial applications due to reasons such as the increased efforts required for the engineering and development process and the absence of methods to handle the inherent complexity. This paper introduces the CASAD matrix method that facilitates the development of context-aware systems and reduces their complexity to a manageable level. The matrix is based on the design structure matrix method of Steward [1] and allows the structured documentation, analysis, and optimization of context-related systems properties. Further, different approaches for analyzing the matrix are shown and their outcomes discussed. Finally, the practical application is demonstrated in an industrial use case. Thereby, the CASAD matrix method is used to document, analyze, and optimize the contextually assisted activities, the contextual services, and the contexts of a context-aware assistance system for the shop floor of an injection molding company.
机译:精确传感器的可用性和智能设备的广泛使用能够开发可以感知其环境并识别特定上下文的系统。近年来,所谓的环境感知系统获得了越来越受欢迎,因为它们可以提供态势援助和自动化非法的过程。尽管他们的优势,由于工程和开发过程所需的增加,但由于工程和开发过程所需的增加以及处理固有复杂性的方法,因此这些系统在工业应用中仍然在工业应用中发挥着小的作用。本文介绍了级联矩阵方法,促进了上下文感知系统的开发,并将其复杂性降低到可管理的级别。矩阵基于STEWARD [1]的设计结构矩阵方法,允许结构化文档,分析和优化上下文相关系统属性。此外,示出了用于分析基质的不同方法及其讨论的结果。最后,在工业用例中证明了实际应用。因此,Casad矩阵方法用于记录,分析和优化内容辅助活动,上下文服务以及注塑成型公司车间的背景感应援助系统的上下文。

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