Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262
Fluctuations are inherent property of many physical systems in biology, epidemiology, finance and chemical reactions. They are recognized as unknown disturbances or stochastic effects. In order to describe the system embedded with the above effect, the system is modelled using stochastic differentia...
Main Authors: | , , , , , |
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Format: | Conference or Workshop Item |
Language: | English |
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2010
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Online Access: | http://eprints.utm.my/24296/1/ArifahBahar2010_StochasticModelofGelatinisedSagoStarch.pdf |
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author | Bahar, Arifah Rosli, Norhayati Yeak, Su Hoe Abd. Rahman, Haliza Mohd. Aziz, Mohd. Khairul Bazli Md. Salleh, Madihah |
author_facet | Bahar, Arifah Rosli, Norhayati Yeak, Su Hoe Abd. Rahman, Haliza Mohd. Aziz, Mohd. Khairul Bazli Md. Salleh, Madihah |
author_sort | Bahar, Arifah |
collection | ePrints |
description | Fluctuations are inherent property of many physical systems in biology, epidemiology, finance and chemical reactions. They are recognized as unknown disturbances or stochastic effects. In order to describe the system embedded with the above effect, the system is modelled using stochastic differential equations (SDEs). This work is carried out to model the growth of C. acetobutylicum P262 in batch fermentation and solvent production using SDE. Since, the analytical solutions of this SDE are complex, a numerical simulation is applied to approximate the strong solution of the SDE. This paper also discusses the use of three different numerical methods in modelling the growth of C. acetobutylicum P262 and solvent production. |
first_indexed | 2024-03-05T18:36:53Z |
format | Conference or Workshop Item |
id | utm.eprints-24296 |
institution | Universiti Teknologi Malaysia - ePrints |
language | English |
last_indexed | 2024-03-05T18:36:53Z |
publishDate | 2010 |
record_format | dspace |
spelling | utm.eprints-242962017-10-11T08:26:45Z http://eprints.utm.my/24296/ Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262 Bahar, Arifah Rosli, Norhayati Yeak, Su Hoe Abd. Rahman, Haliza Mohd. Aziz, Mohd. Khairul Bazli Md. Salleh, Madihah Q Science Fluctuations are inherent property of many physical systems in biology, epidemiology, finance and chemical reactions. They are recognized as unknown disturbances or stochastic effects. In order to describe the system embedded with the above effect, the system is modelled using stochastic differential equations (SDEs). This work is carried out to model the growth of C. acetobutylicum P262 in batch fermentation and solvent production using SDE. Since, the analytical solutions of this SDE are complex, a numerical simulation is applied to approximate the strong solution of the SDE. This paper also discusses the use of three different numerical methods in modelling the growth of C. acetobutylicum P262 and solvent production. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/24296/1/ArifahBahar2010_StochasticModelofGelatinisedSagoStarch.pdf Bahar, Arifah and Rosli, Norhayati and Yeak, Su Hoe and Abd. Rahman, Haliza and Mohd. Aziz, Mohd. Khairul Bazli and Md. Salleh, Madihah (2010) Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262. In: The Regional Conference on Statistical Sciences (RCSS'10), 13-14 June 2010, New Pacific Hotel, Kota Bharu, Kelantan. http://www.instatmy.org.my/downloads/RCSS'10/Proceedings/02P.pdf. |
spellingShingle | Q Science Bahar, Arifah Rosli, Norhayati Yeak, Su Hoe Abd. Rahman, Haliza Mohd. Aziz, Mohd. Khairul Bazli Md. Salleh, Madihah Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262 |
title | Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262 |
title_full | Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262 |
title_fullStr | Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262 |
title_full_unstemmed | Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262 |
title_short | Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262 |
title_sort | stochastic model of gelatinised sago starch to solvent production by c acetobutylicum p262 |
topic | Q Science |
url | http://eprints.utm.my/24296/1/ArifahBahar2010_StochasticModelofGelatinisedSagoStarch.pdf |
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