• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1248-1248
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• 2001

Mastitis is a major problem for the global dairy industry and causes substantial economic losses from decreasing milk production and considerable compositional changes in milk, reducing milk quality. The potential of near infrared (NIR) spectroscopy in the region from 1100 to 2500nm and chemometric method for classification to detect milk from mastitic cows was investigated. A total of 189 milk samples from 7 Holstein cows were collected for 27 days, consecutively, and analyzed for somatic cells (SCC). Three of the cows were healthy, and the rest had mastitis periods during the experiment. NIR transflectance milk spectra were obtained by the InfraAlyzer 500 spectrophotometer in the spectral range from 1100 to 2500nm. All samples were divided into calibration set and test set. Class variable was assigned for each sample as follow: healthy (class 1) and mastitic (class 2), based on milk SCC content. The classification of the samples was performed using soft independent modeling of class analogy (SIMCA) and different spectral data pretreatment. Two concentration of SCC - 200 000 cells/ml and 300 000 cells/ml, respectively, were used as thresholds fer separation of healthy and mastitis cows. The best detection accuracy was found for models, obtained using 200 000 cells/ml as threshold and smoothed absorbance data - 98.41% from samples in the calibration set and 87.30% from the samples in the independent test set were correctly classified. SIMCA results for classes, based on 300 000 cells/ml threshold, showed a little lower accuracy of classification. The analysis of changes in the loading of first PC factor for group of healthy milk and group of mastitic milk showed, that separation between classes was indirect and based on influence of mastitis on the milk components. The accuracy of mastitis detection by SIMCA method, based on NIR spectra of milk would allow health screening of cows and differentiation between healthy and mastitic milk samples. Having SIMCA models, mastitis detection would be possible by using only DIR spectra of milk, without any other analyses.

• Journal of Biosystems Engineering
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• 제22권2호
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• pp.217-226
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• 1997

This study was to develop a machine vision system to detect and to discriminate 5 kinds of apple surface defectbruise, decay. fleck, worm hole and scar. To detect the defects from an image of apple, thresholding technique was applied to images on various frames (R, G, B, H, S and I) of the color machine vision and an image of near infrared (NIR). To discriminate the detected region of defect, various features of the 5 kind defect regions were extracted from the 4 kinds of images selected above. The features were size of area, roundness, axes length ratio, mean and valiance of pixel values, standard deviation of real part of amplitude spectrum in frequency domain obtained by Fourier transform of pixel data and mean and standard deviation of power spectrum obtained by the same transform of pixel data. Routines to discriminate the defects from the features of image were developed and tested to prove their validity. The test resulted that I-frame and NIR images were the most desirable. Accuracies of the two images to discriminate the defects were noted as 76% and 77%, respectively.

• 환경생물
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• 제19권4호
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• pp.321-324
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• 2001

일반적으로 지하수환경은 세균의 수가 적기 때문에 세균의 핵산을 추출하기 위해서는 지하수 시료의 여과를 통하여 대량의 세균을 획득하는 것이 우선적으로 요구되어왔다. 그러나 이러한 여과법은 많은 시간과 인력의 낭비 뿐만 아니라 실험 과정의 특수성으로 인하여 오염의 위험성이 높다. 따라서 본 논문에서는 구아니딘 열탕법을 이용하여 소량의 지하수 시료로부터 핵산증폭실험에 적용할 수 있는 충분한 양의 핵산의 추출을 시도하였다. 지하수 시료는 서울시 내의 질소화합물 요염지역, 오염 예상지역, 청정지역으로 구분하여 각각 2개의 정점을 선별하여 총 6개의 정점으로부터 채수하였다. 구아니딘 열탕법을 이용하여 얻은 핵산으로 지하수에서 탈질화세균의 존재 여부를 검정한 결과 청정지역을 제외한 4개의 정점에서 탈질화 세균의 존재를 확인하였다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2006년도 하계 학술대회 논문집
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• pp.423-426
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• 2006

• 대한원격탐사학회지
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• 제37권5_3호
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• pp.1389-1403
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• 2021

고해상도(Very High Resolution; VHR) 위성영상을 이용한 재난 피해 평가는 신속한 피해 정보 추출과 함께 세부적인 피해 정보 획득이 가능하다. 하지만 일반적으로 VHR 위성의 낮은 영상 취득 주기로 인해 재난 발생 전 VHR 영상의 수급은 제한적이며, 재난 발생 후 영상만으로는 피해 지역과 미피해 지역의 정확한 식별에 한계가 존재한다. 이에 본 연구에서는 산불 발생 후 VHR 위성영상과 GIS (Geographic Information System) 데이터를 이용하여 국내 산불 피해 지역에 대한 변화 탐지를 수행하였다. 산불 발생 전 VHR 영상을 대체하기 위한 GIS 데이터로는 토지피복도가 사용되었으며, 산불 발생 전 토지피복 현황에 대한 공간정보를 이용하여 산불발생 전 NIR (near-infrared) 영상을 시뮬레이션하였다. 변화 탐지 과정에서는 NDVI (Normalized Difference Vegetation Index) 상관도 기반의 변화 탐지 기법을 적용하였으며, superpixel 기반의 영상 분석을 통해 영상 분석의 복잡도를 감소시키는 동시에 VHR 영상의 디테일을 보존하고자 하였다. 제안 기법은 2019년 발생한 강원도 산불 지역에 대해 검증되었으며, 두 연구 지역에 대해 모두 98% 이상의 높은 전체 정확도와 0.97 이상의 높은 F1-score 값을 제시하였다.

• 천문학논총
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• 제27권4호
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• pp.129-134
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• 2012

The North Ecliptic Pole (NEP) Wide survey covered about 5.4 $deg^2$, a nearly circular area centered on the NEP, using nine passbands of InfraRed Camera (IRC). We present the photometric properties of the data sets, and the nature of the sources detected in this field. The number of detected sources varied according to the filter band: with about 109,000 sources in the NIR, about 20,000 sources in the MIR-S, and about 16,000 sources seen in the MIR-L channel. The $5{\sigma}$ detection limits are about 21 mag in the NIR and 19.5 - 18.5 mag in the MIR bands in terms of the AB magnitude. 50% completeness levels are about 19.8 mag at $3{\mu}m$, 18.6 mag at $9{\mu}m$, and 18 mag at $18{\mu}m$ band (in AB magnitude), respectively. In order to validate the detected sources, all of them are confirmed by matching tests with those in other bands. The 'star-like' sources, defined by the high stellarity and magnitude cut from the optical ancillary data, appear statistically to have a high probability of being stars. The nature of the various types of extragalactic sources in this field are discussed using the color-color diagrams of the NIR and MIR bands with the redshift tracks of galaxies providing useful guidelines.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1276-1276
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• 2001

Polycyclic aromatic hydrocarbons(PAHs) are widely distributed in the environment and are often implicated as potential carcinogens. The chromatographic methods of detection and quantitative determination of PAHs in environmental samples are costly, time consuming, and do not account for all kinds of PAHs. This work describes a quantitative spectroscopic method for the analysis of mixtures of eight PAHs using multivariate calibration models for Fourier transform near infrared(FT-NIR) spectral data. The NIR spectra of mixtures of PAHs (anthracene, pyrene, 1,2-benzanthracene, perylene, chrysene, benzo(a)pyrene, 1-methylanthracene and benzo(ghi)perylene) were measured in the wavelength range from 1100 nm to 2500 nm. The spectral data were processed using a partial least squares regression. We have studied the spectral characteristics of NIR spectra of mixtures of PAHs. It was possible to determine each PAM used in this study at the environmental level(mg L-1) in the laboratory samples. Further development may lead to the rapid determination of more PAHs in typical environmental samples.

• 한국콘텐츠학회논문지
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• 제4권4호
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• pp.171-178
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• 2004

라디오 주파수 마이크로파는 시료에서 포도당 농도를 측정하기 위해 사용될 수 있다. 본 논문에서는 포도당을 포함하는 증류수, 샐라인, 인체 씨럼, 인체 혈액 용액에 대해서 상대 유전율을 측정함으로써 포도당 농도 측정의 예비 실험 결과를 보고한다. 근육과 같은 인체 조직의 포도당 농도 측정에서 마이크로파 방법은 NIR방법보다 투과 깊이가 약 100배 더 컸으며, 이것은 인체의 포도당을 비침습적인 검출에 더 유용한 장점이 된다. 실험에서 인체 혈액 용액에서 포도당 농도를 검출하기 위한 측정 감도는 5.8GHz부근에서 약 57mg/dl를 보였다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.852-862
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• 1996

This study was carried out to develop tools to detect defects of apple using machine vision. For the purpose, 6 kinds of frame for color images, R, G, B, h, S, and I frame, and a frame for near infra-red images (NIR frame) were tested first to select one which is useful to segment defect areas from apple images. After then, several methods to classify kind of defect for the segmented defect areas were developed and tested. Five kinds of apple defect -bruise , decay ,fleck worm hole and scar were investigated . The results are as follows: NIR frame was selected as the best one among the 7 kinds of image frame, and R, G and I frames showed favourable result to segment areas of apple defect. Various features of the segmented defect areas were measured to classify the defect areas. Eight kids of feature of the areas-size, roundness, axes length ratio, mean and variance of pixel values, variance of real part of spectrum, mean and variance of power spectrum resulted from spacial ourier transform were observed for the segmented defect areas in the selected 4 frames. then procedures to classify defects using the features were developed for the 4 frames and tested with 75-113 defects on apples. The test resulted that NIR and I frames showed high accuracies to classify the kind of defect as 77% and 76% , respectively.

• Agricultural and Biosystems Engineering
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• 제4권1호
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• pp.1-7
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• 2003

Internal defects such as browning of the flesh and blackening and rot of the ovary of pear can be easily developed because of the inadequate environmental conditions during the storage and distribution of fruit. The quality assurance system for the agricultural product is to be settled in Korea. All defected agricultural products should be excluded prior to the distribution to enhance the commercial values. However, early stage on-line defect detection of agricultural product is very difficult and even more difficult in a case of the internal defects. The goal of this research is to develop a system that can detect and classify internal defects of agricultural produce on-line using VIS/NIR transmittance spectroscopy. And Shingo pear, which is one of the famous species of Korean pear, was used for the experiment. Soft independence modeling of class analogy (SIMCA) algorithm was employed to analyze the transmittance spectroscopic data qualitatively. On-line classification system was constructed and classification model was developed and validated. As a result, the correct classification rate (CCR) using the developed classification model was 96.1 ％.