A multi-agent based user context Bayesian neural network analysis system |
| |
Authors: | Hyogun Yoon Malrey Lee Thomas M Gatton |
| |
Affiliation: | (1) School of Information and Computer Science, University of California, Irvine, CA, USA;(2) School of Information and Computer Science, University of California, Irvine, California, USA |
| |
Abstract: | The increasing user mobility demands placed upon IT services necessitates an environment that enables users to access optimal
services at any time and in any place. This study presents research conducted to develop a system that is capable of analyzing
user IT service patterns and tendencies and provides the necessary service resources by sharing each user’s context information.
First, each user’s context information is gathered to provide the multi-agent software training data necessary to describe
user operations in a hybrid peer-to-peer (P2P) structured communication environment. Next, the data collected about each user’s
mobile device is analyzed through a Bayesian based neural network system to identify the user’s tendency and extract essential
service information. This information provides a communication configuration allowing the user access to the best communication
service between the user’s mobile device and the local server at any time and in any place, thereby enhancing the ubiquitous
computing environment. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|