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.
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
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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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