A context model for ubiquitous computing applications

Authors:
Md. Rezaul Bashar;Nam Mi Young;Phill Kyu Rhee
Affiliations:
Intelligent Technology Laboratory, Dept. of Computer Science & Engineering, Inha University, Incheon, Republic of Korea;Intelligent Technology Laboratory, Dept. of Computer Science & Engineering, Inha University, Incheon, Republic of Korea;Intelligent Technology Laboratory, Dept. of Computer Science & Engineering, Inha University, Incheon, Republic of Korea
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2006

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Abstract

Now these days, much research has been carried out on context-aware computing that is an important field in the area of ubiquitous computing, which offers a pervasive vision to implement a smart system by connecting computers, sensors and other peripherals in wired or unwired fashion. The main focus of this paper is on context modeling to design a real-time face recognition system for ubiquitous computing. In this research, a real-time framework with the combining concepts of context-awareness and genetic algorithm referred as real-time genetic algorithm (RGA) is proposed that meets the characteristics of context model and developments of a ubiquitous application. This framework is implemented on a real-time environment and a recognizable success is notified.