DocumentCode :
2324289
Title :
Prokaryotic Bio-Inspired Model for Embryonics
Author :
Samie, Mohammad ; Dragffy, Gabriel ; Popescu, Anca ; Pipe, Tony ; Melhuish, Chris
Author_Institution :
Bristol Robot. Labs., Univ. of the West of England, Bristol, UK
fYear :
2009
fDate :
July 29 2009-Aug. 1 2009
Firstpage :
163
Lastpage :
170
Abstract :
This paper is presented in conjunction with, and forms the first part of, the paper entitled ldquoprokaryotic bio-inspired systems.rdquo In this part we propose and investigate a novel prokaryotic cell-based bio-inspired model suitable to implement self-healing bio-inspired systems. A key feature of our model is that system reliability can be increased with a minimal amount of hardware overhead. It also offers a bio-inspired compression/decompression technique that exploits the intimate relationship between different genes. Distributed DNA, highly dynamic and flexible routing resources and optimized self-repair characteristics (using Block and cell elimination) are some of the other advantages of the proposed model.
Keywords :
DNA; bio-inspired materials; biocomputing; biomolecular electronics; cellular biophysics; compression; decompression; distributed DNA; embryonics; prokaryotic bio-inspired model; reliability; self-healing; Bioinformatics; Biological system modeling; Cells (biology); DNA; Embryo; Fault tolerant systems; Genetics; Genomics; Hardware; Redundancy; POE model; bio-inspired; soft computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Adaptive Hardware and Systems, 2009. AHS 2009. NASA/ESA Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-0-7695-3714-6
Type :
conf
DOI :
10.1109/AHS.2009.45
Filename :
5325458
Link To Document :
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