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Self - Repair of Embedded Systems

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Coyle, EA, Maguire, LP and McGinnity, TM (2004) Self - Repair of Embedded Systems. Engineering Applications of Artificial Intelligence, 17 (1). pp. 1-9. [Journal article]

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URL: http://dx.doi.org/10.1016/j.engappai.2003.11.009

Abstract

As embedded systems are increasingly entrusted with critical tasks, it becomes important that these systems exhibit high levels of reliability. Increasing complexity makes production of fault-free systems extremely difficult. Developing self-repair for embedded systems provides a means to alleviate the effects of a fault. This paper discusses a self-repair methodology for embedded systems that employs the unified modelling language and genetic algorithms. This approach increases the flexibility of systems by enabling the transfer of functionality between hardware and software. This design methodology is demonstrated using a speech recognition system. The benefits of the design for a self-repair strategy are highlighted and the implementation results for two examples of design objectives are presented. Author Keywords: Author Keywords: Self-repair; Unified modelling language; Genetic algorithms; Embedded systems

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:8043
Deposited By:Professor Liam Maguire
Deposited On:01 Mar 2011 11:34
Last Modified:23 Jun 2011 11:24

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