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dc.contributor.authorNoorsal, E.-
dc.contributor.authorOthman, Sidek-
dc.contributor.authorJ. Mohamad-Saleh-
dc.contributor.authorMohd Noor, Ahmad-
dc.date.accessioned2009-08-03T07:59:20Z-
dc.date.available2009-08-03T07:59:20Z-
dc.date.issued2004-
dc.identifier.citationp.930-935en_US
dc.identifier.isbn0-7803-8643-4-
dc.identifier.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=31388&arnumber=1460713&count=137&index=55-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/6666-
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.orgen_US
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineering (IEEE)en_US
dc.relation.ispartofseries2004 IEEE Conference on Cybernetics and Intelligent Systemsen_US
dc.subjectElectronic nosesen_US
dc.subjectPattern recognitionen_US
dc.subjectSensor arraysen_US
dc.subjectData acquisitionen_US
dc.subjectMicrocontrollersen_US
dc.subjecte-noseen_US
dc.subjectOdorsen_US
dc.subjectArtificial neural network (ANN)en_US
dc.titleDetection of volatile organic compounds using quartz crystal microbalance sensor array and artificial neural networken_US
dc.typeArticleen_US
Appears in Collections:School of Bioprocess Engineering (Articles)

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