• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.3115-3115
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• 2001

In this study, portable near infrared (NIR) system was newly integrated with a photodiode array detector, which has no moving parts and this system has been successfully applied for evaluation of human skin moisture. The good correlation between NIR absorbance and absolute water content of separated hairless mouse skin was, in vitro, showed depending on the water content (7.42-84.94%) using this portable NIR system. Partial least squares (PLS) regression was used for the calibration with the 1100-1650 nm wavelength range. For the practical use for the evaluation of human skin based on moisture, PLS model for human skin moisture was, in vivo, developed using the portable NIR system based on the relative water content values of stratum corneum from the conventional capacitance method. The PLS model showed a good correlation. This study indicated that the portable NIR system could be a powerful tool for human skin moisture, which may be much more stable to environmental conditions such as temperature and humidity, compared to conventional methods. Furthermore, in order to confirm the performance of newly integrated portable NIR system, scanning type conventional NIR spectrometer was used in the same experiments and the results were compared.

• 천문학회보
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• 제36권2호
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• pp.151.2-151.2
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• 2011

IGRINS (Immersion GRating INfrared Spectrometer) will provide the spectra with high-resolution and an instantaneous spectral coverage of H and K band in NIR region. Therefore, it is expected that the wide coverage of wavelength would make a production of an extensive NIR high-resolution spectra of standard stars as a prior program of IGRINS. As a counter part of these NIR spectra, we have planned to obtain the high-resolution spectra of those standard stars in optical band. These optical high-resolution spectra would give us an opportunity to produce the library of high-resolution stellar spectra covering from optical to NIR band, and to confirm the method to determine the stellar parameters and chemical abundances from the NIR high-resolution spectra. Before using the NIR high-resolution spectra, we have tested the method to determine the stellar parameters by comparing between the observed spectra and the synthetic spectra in optical band. In order to make the synthetic spectra, we have used the Kurucz ATLAS9 model grids and the SYNTH code described by Fiorella Castelli (http://wwwuser.oat.ts.astro.it/castelli/). For the cross-check against the parameters that would be derived from the NIR spectra, the stellar parameters such as effective temperature and surface gravity were determined using the optical spectra of the solar-like stars, as preliminary results.

• Journal of Biosystems Engineering
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• 제37권3호
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• pp.166-176
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• 2012

Purpose: This study was conducted to investigate the potential of interactance mode of NIR spectroscopy technology for the estimation of soluble solids content (SSC) and firmness of muskmelons. Methods: Melon samples were taken from local greenhouses in three different harvesting seasons (experiments 1, 2, and 3). The fruit attributes were measured at the 6 points on an equator of each sample where the spectral data were collected. The prediction models were developed using the original spectral data and the spectral data sets preprocessed by 20 methods. The performance of the models was compared. Results: In the prediction of SSC, the highest coefficient of determination ($R_{cv}{^2}$) values of the cross-validation was 0.755 (standard error of prediction, SEP=$0.89^{\circ}Brix$) with the preprocessing of normalization with range in experiment 1. The highest coefficient of determination in the robustness tests, $R_{rt}{^2}$=0.650 (SEP=$1.03^{\circ}Brix$), was found when the best model of experiment 3 was evaluated with the data set of experiment 2. The best $R_{cv}{^2}$ for the prediction of firmness was 0.715 (SEP=3.63 N) when no preprocessing was applied in experiment 1. The highest $R_{rt}{^2}$ was 0.404 (SEP=5.30 N) when the best model of experiment 3 was applied to the data set of experiment 1. Conclusions: From the test results, it can be concluded that the interactance mode of VIS/NIR spectroscopy technology has a great potential to measure SSC and firmness of thick-skinned muskmelons.

• Near Infrared Analysis
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• 제1권1호
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• pp.27-30
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• 2000

In this study, we investigated the feasibility of non-destructive determination of internal quality factors of Fuji apple fruit using near infrared(NIR) reflectance spectroscopy and developed the calibration models. As the reference methods, refractometer, titration and texture analyzer for sugar content, acidity and firmness were used, respectively. Samples were scanned from 1100∼2500nm with InfraAlyzer 500C spectrometer and SESAME software was used for data analysis. A multiple linear regression(MLR) analysis was performed to develop the calibrations. The correlation coefficient(R) and standard error of prediction(SEP) were as follows; 0.91, 0.41$^{\circ}$Brix for sugar content, 0.90, 0.04% for acidity and 0.84, 0.094 kg for firmness, respectively. This study shows that NIR spectroscopy can be used to evaluate the sugar content acidity and firmness of apple fruit with acceptable accuracy.

• 펄프종이기술
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• 제39권5호
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• pp.58-63
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• 2007

This paper sums up all the different steps broached in this project : The NIR spectroscopy technique has been studied and implemented at CTP using a mobile spectrometer device and different optical materials. Methods, based on statistical data analysis (in particular PLS regressions), have been investigated. A laboratory "prototype" using these techniques and methods has been developed in order to control the recovered papers quality, in terms of humidity percentage and sample composition (paper, board, contaminants).

• 대한약학회:학술대회논문집
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• 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2-2
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• pp.218.3-218.3
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• 2003

In this study, a FT-NIR spectroscopy was used to determine skin moisture. NIR diffuse reflectance spectra were collected from separated dorsal and abdominal hairless mouse skin. Partial least squares regression (PLSR) was applied to develop calibration models that determine the water content. The seven spectra regions, such as 833-2500, 1100-2250, 1100-1750, 1750-2250, 1200-1600, 1800-2200, and 1200-2200 except 1600-1800 nm, were investigated for the best model by PLSR. The developed model predicted skin moisture for validation set with a standard errors of prediction (SEP) of 4.43%, when used 833-2500 nm. (omitted)

• 대한약학회:학술대회논문집
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• 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2-2
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• pp.220.2-220.2
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• 2003

Many interference in blood should be considered for non-invasive blood glucose level monitoring by near-infrared spectroscopy because blood glucose concentration is about 0.1% (w/v) in normal state. In this study, we investigated the influence of other blood components on blood glucose level monitoring by near-infrared spectroscopy. It carried out by newly developed portable type-NIR system (1100∼2200 nm). Spectrum features of NIR diffuse spectral data were investigated for some blood compnents powder such as hemoglobin, blood serum albumin, urea, uric acid, ascorbate, glucose, cholesterol and as adding glucose powder into other blood components powder mixture. (omitted)

• 분석과학
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• 제30권5호
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• pp.234-239
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• 2017

화재 현장에서 완전 연소하지 않은 잔류물의 성분을 규명하는 것은 화재 원인을 추적하는 중요한 단서가 된다. 화재 현장에서 많이 발견되는 플라스틱 연소 잔류물의 종류를 규명하기 위하여 폴리에틸렌 (Polyethylene, PE) 수지와 Acrylonitrile butadiene styrene (ABS) 수지의 연소 후 잔류물에 관한 연구를 진행 하였다. 콘 칼로리미터 (Cone calorimeter)를 사용하여 플라스틱 시료를 200, 300, 350, 400, $500^{\circ}C$로 각각 3분 동안 연소시킨 후 변화된 무게와 연소생성물을 얻었다. 각 온도에서 얻어진 연소생성물을 동결 건조 후 분쇄한 분말 시료를 FT-near infrared (NIR) spectrometer로 스펙트럼을 측정 하였다. 폴리에틸렌 수지 시료를 연소시켰을 때 $350^{\circ}C$까지는 무게의 변화가 없었으나 $400^{\circ}C$ 이상에서는 급격한 무게의 변화를 측정 할 수 있었다. 각 온도에서 얻어진 폴리에틸렌 수지 및 ABS 수지 시료의 FT-NIR 측정 스펙트럼을 주성분 분석(Principle component Analysis, PCA)를 통해서 연소 잔유물이 폴리에틸렌과 ABS 지임을 확인할 수 있었다. 따라서 근적외선 분광법으로 화재현장에서 발견되는 불연소 플라스틱의 종류를 신속하게 확인할 수 있었다.

• 한국전자파학회논문지
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• 제28권8호
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• pp.628-635
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• 2017

의약품은 인간의 건강 및 생명과 밀접한 관련이 있기 때문에 증상에 맞는 의약품을 처방받아 복용하는 것은 매우 중요한 문제이다. 더욱이 세계적으로 위조 의약품이 증가하는 상황에서 정품 의약품들을 정확하게 분류하는 기술은 점점 중요해진다. 그러나 의약품을 제대로 분류할 수 있는 전문적인 지식을 갖춘 인력이 제한적이라는 측면에서 의약품을 자동적으로 분류하는 기술이 필요하다. 본 논문에서는 휴대용 분광기를 이용하여 의약품의 근적외선 및 가시광선 스펙트럼을 추출하고, Support Vector Machine(SVM) 기법을 이용하여 추출한 스펙트럼 데이터를 학습시켜 분류하는 방법을 제안하였다. 모의실험을 통해 근적외선과 가시광선 스펙트럼 데이터를 사용하여 6종의 의약품을 학습시키고 분류하였을 때 평균적으로 99.9 %의 정확도를 얻었다. 또한 본 논문에서는 위조 의약품 검출을 위한 2단계 SVM 분류 기법을 제안하였으며, 이를 통해 정품과 위조 의약품을 구분하는 정확도가 향상되고, 처리속도가 개선되는 것을 확인하였다.

• 농업과학연구
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• 제39권1호
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• pp.111-116
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• 2012

Nondestructive evaluation of seed viability is one of the highly demanding technologies for seed production industry. Conventional seed sorting technologies, such as tetrazolium and standard germination test are destructive, time consuming, and labor intensive methods. Near infrared spectroscopy technique has shown good potential for nondestructive quality measurements for food and agricultural products. In this study, FT-NIR spectroscopy was used to classify normal and artificially aged lettuce seeds. The spectra with the range of 1100~2500 nm were scanned for lettuce seeds and analyzed using the principal component analysis(PCA) method. To classify viable seeds from nonviable seeds, a calibration modeling set was developed with a partial least square(PLS) method. The calibration model developed from PLS resulted in 98% classification accuracy with the Savitzky-Golay $1^{st}$ derivative preprocessing method. The prediction accuracy for the test data set was 93% with the MSC(Multiplicative Scatter Correction) preprocessing method. The results show that FT-NIR has good potential for discriminating non-viable lettuce seeds from viable ones.