A context model for ubiquitous computing applications

Bashar, Md. Rezaul and Young, Nam Mi and Rhee, Phill Kyu (2006) A context model for ubiquitous computing applications. In: KES 2006: 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, 9-11 Oct 2006, Bournemouth, United Kingdom.


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

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author version not held.
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 19 May 2010 06:04
Last Modified: 02 Oct 2013 03:35
Uncontrolled Keywords: context-aware computing; pervasive vision; real-time genetic algorithm (RGA); ubiquitous computing; computer vision; face recognition; genetic algorithms; mathematical models; pattern recognition systems; real time systems
Fields of Research : 08 Information and Computing Sciences > 0802 Computation Theory and Mathematics > 080201 Analysis of Algorithms and Complexity
08 Information and Computing Sciences > 0803 Computer Software > 080301 Bioinformatics Software
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1007/11893011_15
URI: http://eprints.usq.edu.au/id/eprint/8142

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