DocumentCode :
2115800
Title :
Stochastic modeling of growth processes of bacteria colony and simulation studies
Author :
Ishikawa, Masaaki ; Miyajima, Keilchi
Author_Institution :
Fac. of Eng., Yamaguchi Univ., Ube, Japan
Volume :
3
fYear :
2002
fDate :
2-5 Dec. 2002
Firstpage :
1539
Abstract :
In the various fields of engineering including fluid, chemical, and biological engineering, we will observe many kinds of spatio-temporal patterns. For example, in the Belouzov-Zhabotinsky reaction, a target and a spiral ones are observed, which denote spatio-temporal oscillation of concentration of chemical substances. The analyses of such patterns are important problems of engineering. Up to date, excellent works in analyses of pattern formations have been performed, however, models in such analyses were considered in a deterministic framework. So, we cannot analyze influence of disturbances such as impurities in chemical substances and unexpected change of environmental situations on pattern formations using such deterministic models. In this paper, focusing our attention on the bacteria colony patterns and taking disturbances into consideration, we will propose the stochastic model of the growth processes of bacteria called Bacillus subtilis and study influence of disturbances on created bacteria patterns through simulation experiments.
Keywords :
chemical engineering; microorganisms; reaction-diffusion systems; spatiotemporal phenomena; stochastic processes; Bacillus subtilis; Belouzov-Zhabotinsky reaction; bacteria colony; bacteria colony patterns; biological engineering; chemical engineering; chemical substances; fluid engineering; growth processes; simulation experiments; spatio temporal patterns; spatio-temporal oscillation; stochastic modeling; stochastic models; Biological system modeling; Chemical analysis; Chemical engineering; Impurities; Microorganisms; Pattern analysis; Pattern formation; Performance analysis; Spirals; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on
Print_ISBN :
981-04-8364-3
Type :
conf
DOI :
10.1109/ICARCV.2002.1235003
Filename :
1235003
Link To Document :
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