LAUSR

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.