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A novel user interaction middleware component system for ubiquitous soft computing environment by using fuzzy agent computing system

机译:一种新的用户交互中间件组件,用于使用模糊代理计算系统进行普遍存在的软计算环境

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摘要

Ubiquitous Computing Environment (UCE) has become increasingly crucial for a component-based Middleware for Ubiquitous Soft Computing Environment by using Fuzzy Agent Computing System (USCE-FACS) that can fully exploit interactive service characteristics to support user-centric services in UCE. It has posed some challenges, such as high Memory Consumption and high Component Building Time to users who are hiring services in a heterogeneous environment. To control the UCE for the user's benefit, FACS works non-rudely in an online deep-rooted learning way to get familiar with the user behavior. The point of incorporation of previously mentioned advances is to make more extensive the connection between individuals and data innovation gear through the use of an undetectable system of UCE devices making dynamic computational-environments equipped for fulfilling the users' prerequisites. Due to a large number of available services without ontology and Metadata Repository (MR), it becomes time-consuming for end-users to find appropriate services to satisfy their various needs. To help end-users obtain their desired services, the USCE-FACS proposed, it reduces MC and CBT in a heterogeneous environment. This paper concentrated on the communication from users to devices to enable a general and quick access to accessible element and administrations gave by the UCE.
机译:通过使用模糊代理计算系统(USCE-FAC)可以充分利用交互式服务特征来支持uce的互动服务特征来普遍存在的软计算环境的基于组件的中间件,普遍存在的中间件越来越重要。它提出了一些挑战,例如高记忆消耗和高分组件建筑时间,用于在异构环境中招聘服务的用户。为了控制用户的利益,FACS以在线深度学习方式中的非粗鲁地工作,以熟悉用户行为。先前提到的进步的注册点是通过使用制作用于满足用户先决条件的动态计算环境的UCE设备的未检测到的UCE设备来实现更广泛的联系。由于没有本体和元数据存储库(MR)的大量可用服务,最终用户可以耗时耗时,以找到满足各种需求的适当服务。为帮助最终用户获得所需的服务,所提出的USCE-FACS,它在异构环境中减少了MC和CBT。本文集中在用户到设备的通信,以实现对可访问元素和管理员的一般和快速访问,由UCE提供。

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