Probabilistic neural network based olfactory classification for household burning in early fire detection application
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my.unimap-414702016-05-06T07:55:32Z Probabilistic neural network based olfactory classification for household burning in early fire detection application Allan Melvin, Andrew Kamarulzaman, Kamarudin Syed Muhammad, Mamduh Ali Yeon, Md Shakaff Ammar, Zakaria Abdul Hamid, Adom David Lorater, Ndzi Ragunathan, Santiagoo raguna@unimap.edu.my Classification Fire detection Neural network Olfactory Time series signal Link to publisher's homepage at http://ieeexplore.ieee.org Determination of burning smell is important because it can help in early fire detection and prevention. In this paper, a household burning smell classification system for early fire detection application has been proposed using Probabilistic Neural Network (PNN) and PCA analysis. The experiments were performed on recorded smell samples from combustion of ten different commonly available household, including candle, joss sticks, air freshener, mosquito coil, newspaper, card board, plastic materials, Styrofoam and wood. All the experiments were done in a test chamber with humidity and temperature sensors. Portable Electronic Nose (PEN3) from Airsense Analytics is used as the measurement device. The smell source is placed 0.3m from the PEN3 and the time-series signal is measured for two minutes. The odour metrics is modelled using Probabilistic Neural Network. It is found that the average classification accuracy for the model is 99.62%. 2016-05-06T07:53:34Z 2016-05-06T07:53:34Z 2013-12 Article 2013 IEEE Conference on Open Systems, 2013, pages 221-225 978-1-4799-3152-1 http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41470 10.1109/ICOS.2013.6735078 en 2013 IEEE Conference on Open Systems;ICOS 2013 IEEE |
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Classification Fire detection Neural network Olfactory Time series signal |
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Classification Fire detection Neural network Olfactory Time series signal Allan Melvin, Andrew Kamarulzaman, Kamarudin Syed Muhammad, Mamduh Ali Yeon, Md Shakaff Ammar, Zakaria Abdul Hamid, Adom David Lorater, Ndzi Ragunathan, Santiagoo Probabilistic neural network based olfactory classification for household burning in early fire detection application |
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raguna@unimap.edu.my |
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raguna@unimap.edu.my Allan Melvin, Andrew Kamarulzaman, Kamarudin Syed Muhammad, Mamduh Ali Yeon, Md Shakaff Ammar, Zakaria Abdul Hamid, Adom David Lorater, Ndzi Ragunathan, Santiagoo |
format |
Article |
author |
Allan Melvin, Andrew Kamarulzaman, Kamarudin Syed Muhammad, Mamduh Ali Yeon, Md Shakaff Ammar, Zakaria Abdul Hamid, Adom David Lorater, Ndzi Ragunathan, Santiagoo |
author_sort |
Allan Melvin, Andrew |
title |
Probabilistic neural network based olfactory classification for household burning in early fire detection application |
title_short |
Probabilistic neural network based olfactory classification for household burning in early fire detection application |
title_full |
Probabilistic neural network based olfactory classification for household burning in early fire detection application |
title_fullStr |
Probabilistic neural network based olfactory classification for household burning in early fire detection application |
title_full_unstemmed |
Probabilistic neural network based olfactory classification for household burning in early fire detection application |
title_sort |
probabilistic neural network based olfactory classification for household burning in early fire detection application |
publisher |
IEEE |
publishDate |
2016 |
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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41470 |
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1643799610092683264 |
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13.222552 |