A Study On Detecting The Presence Of Sulfate Reducing Bacteria Using Artificial Neural Network Based On Electronic Sensor Data

Sulfate Reducing Bacteria (SRB) are nonpathogenic and anaerobic bacteria (cannot grow with the presence of oxygen). SRB can produce enzyme to accelerate the reduction of sulfate compounds to hydrogen sulfide (H2S) that corrodes metal. There are a few methods of detecting SRB such as laboratory an...

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Main Author:	Chandaran, Umadevi
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TK1-9971 Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.usm.my/61081/1/24%20Pages%20from%2000001780134.pdf
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id	my-usm-ep.61081
record_format	uketd_dc
spelling	my-usm-ep.610812024-09-10T02:45:08Z A Study On Detecting The Presence Of Sulfate Reducing Bacteria Using Artificial Neural Network Based On Electronic Sensor Data 2012-09 Chandaran, Umadevi TK1-9971 Electrical engineering. Electronics. Nuclear engineering Sulfate Reducing Bacteria (SRB) are nonpathogenic and anaerobic bacteria (cannot grow with the presence of oxygen). SRB can produce enzyme to accelerate the reduction of sulfate compounds to hydrogen sulfide (H2S) that corrodes metal. There are a few methods of detecting SRB such as laboratory analysis and field test kit but the procedures are costly and take longer time, whereby the detection period can reach more than 12 hours. This research is a study on the possibility of using electronic sensor to detect SRB. A few experiments are carried out using medium with nutrient agar inside 28 ml universal bottle to determine the presence of SRB. The sensors that are used in this research are H2S gas sensor, temperature sensor and humidity sensor. Data in the form of voltage, temperature and humidity from these sensors are collected and stored in a personal computer (PC). These data are analyzed using Analysis of Variance (ANOVA) to determine the coefficient of determination for SRBs' growth. Results show that voltage from H2S sensor and temperature from temperature sensor contribute to the presence of SRB. 2012-09 Thesis http://eprints.usm.my/61081/ http://eprints.usm.my/61081/1/24%20Pages%20from%2000001780134.pdf application/pdf en public masters Perpustakaan Hamzah Sendut Pusat Pengajian Kejuruteraan Elektrik & Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TK1-9971 Electrical engineering Electronics Nuclear engineering
spellingShingle	TK1-9971 Electrical engineering Electronics Nuclear engineering Chandaran, Umadevi A Study On Detecting The Presence Of Sulfate Reducing Bacteria Using Artificial Neural Network Based On Electronic Sensor Data
description	Sulfate Reducing Bacteria (SRB) are nonpathogenic and anaerobic bacteria (cannot grow with the presence of oxygen). SRB can produce enzyme to accelerate the reduction of sulfate compounds to hydrogen sulfide (H2S) that corrodes metal. There are a few methods of detecting SRB such as laboratory analysis and field test kit but the procedures are costly and take longer time, whereby the detection period can reach more than 12 hours. This research is a study on the possibility of using electronic sensor to detect SRB. A few experiments are carried out using medium with nutrient agar inside 28 ml universal bottle to determine the presence of SRB. The sensors that are used in this research are H2S gas sensor, temperature sensor and humidity sensor. Data in the form of voltage, temperature and humidity from these sensors are collected and stored in a personal computer (PC). These data are analyzed using Analysis of Variance (ANOVA) to determine the coefficient of determination for SRBs' growth. Results show that voltage from H2S sensor and temperature from temperature sensor contribute to the presence of SRB.
format	Thesis
qualification_level	Master's degree
author	Chandaran, Umadevi
author_facet	Chandaran, Umadevi
author_sort	Chandaran, Umadevi
title	A Study On Detecting The Presence Of Sulfate Reducing Bacteria Using Artificial Neural Network Based On Electronic Sensor Data
title_short	A Study On Detecting The Presence Of Sulfate Reducing Bacteria Using Artificial Neural Network Based On Electronic Sensor Data
title_full	A Study On Detecting The Presence Of Sulfate Reducing Bacteria Using Artificial Neural Network Based On Electronic Sensor Data
title_fullStr	A Study On Detecting The Presence Of Sulfate Reducing Bacteria Using Artificial Neural Network Based On Electronic Sensor Data
title_full_unstemmed	A Study On Detecting The Presence Of Sulfate Reducing Bacteria Using Artificial Neural Network Based On Electronic Sensor Data
title_sort	study on detecting the presence of sulfate reducing bacteria using artificial neural network based on electronic sensor data
granting_institution	Perpustakaan Hamzah Sendut
granting_department	Pusat Pengajian Kejuruteraan Elektrik & Elektronik
publishDate	2012
url	http://eprints.usm.my/61081/1/24%20Pages%20from%2000001780134.pdf
_version_	1811772875478138880

A Study On Detecting The Presence Of Sulfate Reducing Bacteria Using Artificial Neural Network Based On Electronic Sensor Data

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