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Savitzky-Golay parameter optimization by using linear discriminant analysis for FTIR Spectra
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Agustika, Dyah, Nawawi, Muhammad Rojib, Prasetyowati, Rita, Hidayat, Sri Hendrastuti, Iliescu, Daciana and Leeson, Mark S. (2022) Savitzky-Golay parameter optimization by using linear discriminant analysis for FTIR Spectra. In: 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI), Paris, France, 24-26 Aug 2022. Published in: 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) ISBN 9781665497398. doi:10.1109/rtsi55261.2022.9905171 ISSN 2687-6817.
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Official URL: https://doi.org/10.1109/rtsi55261.2022.9905171
Abstract
The Savitzky-Golay (SG) smoothing technique has been successfully applied to filter the noise in spectra or chromatograms. In this research, SG smoothing was applied as a pre-processing method to analyze Fourier Transform Infrared (FTIR) spectra of chilli plants infected by Pepper Yellow Leaf Curl Virus (PYLCV) and PYLCV-undetected plants. SG smoothing has two parameters that can be optimized to achieve the best result, namely the polynomial order and the window length. For the former, orders of zero, two, four, six and eight whilst the latter used lengths from the polynomial order + 1 to 59. Linear Discriminant Analysis (LDA) was used to optimize the parameters. The results showed that the best LDA classification result was achieved using the zeroth and second order polynomials. For the zeroth order, a 100% classification result was achieved by window lengths in the range nine to twenty-five, while the second order polynomial window lengths to achieve the same results were from twenty-nine to forty-one. From the two polynomial orders, the mean squared error (MSE) of the SG smoothed, and the original signal was calculated. From that process, the zeroth order SG smoothing curve with a window length of nine produced the best parameter combination to classify the samples.
| Item Type: | Conference Item (Paper) | ||||||
|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
| SWORD Depositor: | Library Publications Router | ||||||
| Journal or Publication Title: | 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) | ||||||
| Publisher: | IEEE | ||||||
| ISBN: | 9781665497398 | ||||||
| ISSN: | 2687-6817 | ||||||
| Official Date: | 4 October 2022 | ||||||
| Dates: |
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| DOI: | 10.1109/rtsi55261.2022.9905171 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Reuse Statement (publisher, data, author rights): | ** From Crossref proceedings articles via Jisc Publications Router ** History: ppub 24-08-2022; issued 24-08-2022. | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Conference Paper Type: | Paper | ||||||
| Title of Event: | 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Paris, France | ||||||
| Date(s) of Event: | 24-26 Aug 2022 |
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