Design of an Efficient User Interface for Ubiquitous Soft Computing Environment

B. T, T. Sujatha, S. Premnath, V. Devi, A. Benő, S. S. C. Mary
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Abstract

The Fuzzy Agent Computing System is a competitive way of establishing an interactive middleware component in a Ubiquitous Computing Environment (UCE). However, there are some difficulties faced along the way such as high component building time imposed on users working in a heterogeneous environment and also high memory consumption. To make the middleware adapt to the users benefit, the proposed fuzzy agent computing system attempts to work in an online deep-rooted learning methodology. The purpose of this work is to establish a full-fledged connection between the data innovation gear and the individuals with the help of UCE devices in an undetectable network. It ensures that users prerequisites are fulfilled with this dynamically built computational environment. Because of the vast database available online without metadata repository and ontology, finding the apt service that will meet customers' requirements, proves to be a hassle. To aid the end users with the necessary services, a fuzzy agent computing system in an ubiquitous computing environment is proposed in this work resulting in reduced CBT and MC. This work focuses on the communication between the device and the user to create quick access to the administration and elements available in the Ubiquitous Computing Environment.
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面向泛在软计算环境的高效用户界面设计
模糊代理计算系统是在泛在计算环境(UCE)中建立交互中间件组件的一种有竞争力的方法。但是,在此过程中会遇到一些困难,例如在异构环境中工作的用户需要花费大量的组件构建时间,并且内存消耗也很高。为了使中间件适应用户的利益,本文提出的模糊代理计算系统尝试采用在线深度学习方法。这项工作的目的是借助UCE设备在不可检测的网络中建立数据创新设备与个人之间的全面连接。它确保在这个动态构建的计算环境中满足用户的先决条件。由于没有元数据存储库和本体的大量在线数据库,寻找满足客户需求的apt服务被证明是一件麻烦事。为了帮助最终用户提供必要的服务,本文提出了一种泛在计算环境中的模糊代理计算系统,从而减少了CBT和MC。该工作侧重于设备与用户之间的通信,以创建对泛在计算环境中可用的管理和元素的快速访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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