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Detection of volatile organic compounds using quartz crystal microbalance sensor array and artificial neural network

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Main Authors: Noorsal, E., Othman, Sidek, J. Mohamad-Saleh, Mohd Noor, Ahmad
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineering (IEEE) 2009
Subjects:
Electronic noses
Pattern recognition
Sensor arrays
Data acquisition
Microcontrollers
e-nose
Odors
Artificial neural network (ANN)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6666
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spelling my.unimap-66662009-08-03T07:59:46Z Detection of volatile organic compounds using quartz crystal microbalance sensor array and artificial neural network Noorsal, E. Othman, Sidek J. Mohamad-Saleh Mohd Noor, Ahmad Electronic noses Pattern recognition Sensor arrays Data acquisition Microcontrollers e-nose Odors Artificial neural network (ANN) Link to publisher's homepage at http://ieeexplore.ieee.org This paper presents the design and development of an odour sensing system based on a Quartz Crystal Microbalance (QCM) odour-sensor array and an artificial neural network (ANN) for the identification of some of the volatile organic compounds (VOCs) such as Acetone, Benzene, Chloroform, Ethanol and Methanol. The QCM sensors were developed using PVC-blended lipids as sensing materials. A home-built data acquisition and embedded pattern recognition system were developed using the Xilinx IC and AT89C52 Microcontroller. In addition, user interface software was developed to control the vapours flow system, data acquisition, process the acquired data and display the detected vapours using optimised neural network. The performance of this odour sensing system for VOCs emission detection was tested under laboratory conditions to determine its ability to detect single odour compound emission. Simulation and experimental results using an optimised neural network system confirmed that the proposed odour recognition system was effective in identifying the tested VOCs. 2009-08-03T07:59:20Z 2009-08-03T07:59:20Z 2004 Article p.930-935 0-7803-8643-4 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=31388&arnumber=1460713&count=137&index=55 http://hdl.handle.net/123456789/6666 en 2004 IEEE Conference on Cybernetics and Intelligent Systems Institute of Electrical and Electronics Engineering (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Electronic noses
Pattern recognition
Sensor arrays
Data acquisition
Microcontrollers
e-nose
Odors
Artificial neural network (ANN)
spellingShingle Electronic noses
Pattern recognition
Sensor arrays
Data acquisition
Microcontrollers
e-nose
Odors
Artificial neural network (ANN)
Noorsal, E.
Othman, Sidek
J. Mohamad-Saleh
Mohd Noor, Ahmad
Detection of volatile organic compounds using quartz crystal microbalance sensor array and artificial neural network
description Link to publisher's homepage at http://ieeexplore.ieee.org
format Article
author Noorsal, E.
Othman, Sidek
J. Mohamad-Saleh
Mohd Noor, Ahmad
author_facet Noorsal, E.
Othman, Sidek
J. Mohamad-Saleh
Mohd Noor, Ahmad
author_sort Noorsal, E.
title Detection of volatile organic compounds using quartz crystal microbalance sensor array and artificial neural network
title_short Detection of volatile organic compounds using quartz crystal microbalance sensor array and artificial neural network
title_full Detection of volatile organic compounds using quartz crystal microbalance sensor array and artificial neural network
title_fullStr Detection of volatile organic compounds using quartz crystal microbalance sensor array and artificial neural network
title_full_unstemmed Detection of volatile organic compounds using quartz crystal microbalance sensor array and artificial neural network
title_sort detection of volatile organic compounds using quartz crystal microbalance sensor array and artificial neural network
publisher Institute of Electrical and Electronics Engineering (IEEE)
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/6666
_version_ 1643788595657441280
score 13.222552

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