An Optical Non-destructive Egg Quality Measurement Using Nano-spectrometer

碩士 === 國立臺北科技大學 === 電機工程系研究所 === 105 === Long-term consumption of un-fresh eggs may cause some health concerns. Traditionally, people could use sense organs (eyes, ears, nose, and skin) or equipment to get the freshness of eggs. However, the sense organs were affected by personal subjective experien...

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Main Authors: Yu-Chen Liu, 劉昱辰
Other Authors: 張正春
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/aj2x3f
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spelling ndltd-TW-105TIT054420052019-05-15T23:53:21Z http://ndltd.ncl.edu.tw/handle/aj2x3f An Optical Non-destructive Egg Quality Measurement Using Nano-spectrometer 應用微型光譜晶片之光學非破壞式雞蛋品質量測裝置研製 Yu-Chen Liu 劉昱辰 碩士 國立臺北科技大學 電機工程系研究所 105 Long-term consumption of un-fresh eggs may cause some health concerns. Traditionally, people could use sense organs (eyes, ears, nose, and skin) or equipment to get the freshness of eggs. However, the sense organs were affected by personal subjective experience. Also, the egg quality measurement equipment is too large for bringing in daily life. In view of this, we proposed a small-size optical non-destructive egg quality measurement device. Spectrum processing procedures in this thesis is divided into 4 stages. In the first stage, we discussed the result of using multiplicative scatter correction and standard normal variate to reduce the light scattering effect. In the second stage, we processed the spectrums by the 1st/2nd derivative or fast Fourier transform to make the features more easier be extracted and be identified. In the third stage, we discussed the extracted features by principal components analysis and linear discriminant analysis. In the fourth stage, we used K-nearest neighbors (KNN) to classify feature and to determine the egg quality. Our experimental results show that the highest correct rate of KNN can be up to 92.09% 張正春 學位論文 ; thesis 0 zh-TW
collection NDLTD
language zh-TW
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description 碩士 === 國立臺北科技大學 === 電機工程系研究所 === 105 === Long-term consumption of un-fresh eggs may cause some health concerns. Traditionally, people could use sense organs (eyes, ears, nose, and skin) or equipment to get the freshness of eggs. However, the sense organs were affected by personal subjective experience. Also, the egg quality measurement equipment is too large for bringing in daily life. In view of this, we proposed a small-size optical non-destructive egg quality measurement device. Spectrum processing procedures in this thesis is divided into 4 stages. In the first stage, we discussed the result of using multiplicative scatter correction and standard normal variate to reduce the light scattering effect. In the second stage, we processed the spectrums by the 1st/2nd derivative or fast Fourier transform to make the features more easier be extracted and be identified. In the third stage, we discussed the extracted features by principal components analysis and linear discriminant analysis. In the fourth stage, we used K-nearest neighbors (KNN) to classify feature and to determine the egg quality. Our experimental results show that the highest correct rate of KNN can be up to 92.09%
author2 張正春
author_facet 張正春
Yu-Chen Liu
劉昱辰
author Yu-Chen Liu
劉昱辰
spellingShingle Yu-Chen Liu
劉昱辰
An Optical Non-destructive Egg Quality Measurement Using Nano-spectrometer
author_sort Yu-Chen Liu
title An Optical Non-destructive Egg Quality Measurement Using Nano-spectrometer
title_short An Optical Non-destructive Egg Quality Measurement Using Nano-spectrometer
title_full An Optical Non-destructive Egg Quality Measurement Using Nano-spectrometer
title_fullStr An Optical Non-destructive Egg Quality Measurement Using Nano-spectrometer
title_full_unstemmed An Optical Non-destructive Egg Quality Measurement Using Nano-spectrometer
title_sort optical non-destructive egg quality measurement using nano-spectrometer
url http://ndltd.ncl.edu.tw/handle/aj2x3f
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