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Signal processing strategies in FT-NIR and FTIR spectra of palm oils

In the palm oil industry, iodine value (IV) has become an important parameter in quality control that measures the degree of unsaturation of the oils. However, it is difficult to obtain the IV chemically. In other hand, the use of instrumental analysis in IV determination accurately needs suitable d...

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Main Authors:	Rasaruddin, Nor Fazila, Hasan, Mohamed Noor, Mohd. Ruah, Mas Ezatul Nadia, Fong, Sim Siong, Jaafar, Mohd. Zuli
Format:	Article
Published:	IEEE Computer Society 2014
Subjects:	Q Science
Online Access:	http://eprints.utm.my/id/eprint/62573/ http://dx.doi.org/10.1109/CSPA.2014.6805728
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id	my.utm.62573
record_format	eprints
spelling	my.utm.625732017-06-18T06:35:50Z http://eprints.utm.my/id/eprint/62573/ Signal processing strategies in FT-NIR and FTIR spectra of palm oils Rasaruddin, Nor Fazila Hasan, Mohamed Noor Mohd. Ruah, Mas Ezatul Nadia Fong, Sim Siong Jaafar, Mohd. Zuli Q Science In the palm oil industry, iodine value (IV) has become an important parameter in quality control that measures the degree of unsaturation of the oils. However, it is difficult to obtain the IV chemically. In other hand, the use of instrumental analysis in IV determination accurately needs suitable data pre-processing. In this study, we proposed the strategy for pre-processing the FT-NIR and FTIR spectra data in analyzing the IV of non-fried and fried palm oils. The utility and effectiveness of four data pre-processing which are column standardization, mean centre and combination of row scaling with column standardization and mean centre were applied. The effect of data splitting methods which are duplex and kenstone was also investigated in the Partial Least Squares (PLS) regression model of palm oils. From the result, the use of different data pre-processing provides different quality of prediction model. Either the application of the row scaling and column scaling individually or combination of both methods may improve the quality of the model. It is concluded that the data pre-processing is context dependent which is depend on the nature of the dataset and there can be no single method for general use. IEEE Computer Society 2014 Article PeerReviewed Rasaruddin, Nor Fazila and Hasan, Mohamed Noor and Mohd. Ruah, Mas Ezatul Nadia and Fong, Sim Siong and Jaafar, Mohd. Zuli (2014) Signal processing strategies in FT-NIR and FTIR spectra of palm oils. Proceedings - 2014 IEEE 10th International Colloquium on Signal Processing and Its Applications, CSPA 2014 . pp. 95-99. http://dx.doi.org/10.1109/CSPA.2014.6805728 DOI:10.1109/CSPA.2014.6805728
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	Q Science
spellingShingle	Q Science Rasaruddin, Nor Fazila Hasan, Mohamed Noor Mohd. Ruah, Mas Ezatul Nadia Fong, Sim Siong Jaafar, Mohd. Zuli Signal processing strategies in FT-NIR and FTIR spectra of palm oils
description	In the palm oil industry, iodine value (IV) has become an important parameter in quality control that measures the degree of unsaturation of the oils. However, it is difficult to obtain the IV chemically. In other hand, the use of instrumental analysis in IV determination accurately needs suitable data pre-processing. In this study, we proposed the strategy for pre-processing the FT-NIR and FTIR spectra data in analyzing the IV of non-fried and fried palm oils. The utility and effectiveness of four data pre-processing which are column standardization, mean centre and combination of row scaling with column standardization and mean centre were applied. The effect of data splitting methods which are duplex and kenstone was also investigated in the Partial Least Squares (PLS) regression model of palm oils. From the result, the use of different data pre-processing provides different quality of prediction model. Either the application of the row scaling and column scaling individually or combination of both methods may improve the quality of the model. It is concluded that the data pre-processing is context dependent which is depend on the nature of the dataset and there can be no single method for general use.
format	Article
author	Rasaruddin, Nor Fazila Hasan, Mohamed Noor Mohd. Ruah, Mas Ezatul Nadia Fong, Sim Siong Jaafar, Mohd. Zuli
author_facet	Rasaruddin, Nor Fazila Hasan, Mohamed Noor Mohd. Ruah, Mas Ezatul Nadia Fong, Sim Siong Jaafar, Mohd. Zuli
author_sort	Rasaruddin, Nor Fazila
title	Signal processing strategies in FT-NIR and FTIR spectra of palm oils
title_short	Signal processing strategies in FT-NIR and FTIR spectra of palm oils
title_full	Signal processing strategies in FT-NIR and FTIR spectra of palm oils
title_fullStr	Signal processing strategies in FT-NIR and FTIR spectra of palm oils
title_full_unstemmed	Signal processing strategies in FT-NIR and FTIR spectra of palm oils
title_sort	signal processing strategies in ft-nir and ftir spectra of palm oils
publisher	IEEE Computer Society
publishDate	2014
url	http://eprints.utm.my/id/eprint/62573/ http://dx.doi.org/10.1109/CSPA.2014.6805728
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score	13.211869

Signal processing strategies in FT-NIR and FTIR spectra of palm oils

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