• Journal of Biosystems Engineering
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• v.26 no.5
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• pp.475-480
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• 2001

Sensing soil organic matter is crucial for precision farming and environment friendly agriculture. Near infra-red(NIR) was utilized to measure the soil organic matter. Multivariate calibration methods, including stepwise multiple linear regression(MLR), principal components recession(PCR) and partial least squares regression(PLS), were applied to soil spectral reflectance data to predict the organic matter content. The effect of soil particle size and water content was studied. The range of soil organic matter contents was from 0.5 to 11%. Near infrared (NIR) region from 700 to 2,500nm was applied. For uniform soil particle size, result had good correlation (R$\^$2/ = 0.984, standard error of prediction= 0.596). The effect of soil particle size could be eliminated with 1st order derivative of the NIR signal. However. moist soil had a little lower correlation. R$\^$2/ was 0.95 and standard error of prediction was 0.94% using the PLS method. The results showed the possibility of soil organic matter measurement using NIR reflectance on the field.

• Microbiology and Biotechnology Letters
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• v.33 no.3
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• pp.222-225
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• 2005

Stimulatory effects of near infra-red (NIR) rays radiation have been studied within the limits of photosynthesis, phototaxis, and photodermatology. While most of these studies have been done by direct NIR radiation, we investigated the effects of the NIR rays-treated materials on microbial growth. NIR in wavelength of 1,400${\~}$1,700 nm was applied for different kind of materials. Under fast growing conditions in rich media, materials treated with the NIR rays or not did not show any differences in growth of microorganisms. However, under slow growing conditions in minimal media, data showed that NIR rays-treated cloths and hygienic bands affect negatively on the growth of bacteria (Salmonella enteritidis) and fungi (Candida albicans). In addition, it was estimated that the effect of NIR rays on bacterial growth is kept going on S. enteritidis.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2000.02a
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• pp.479-484
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• 2000

• Journal of the Korea Society of Computer and Information
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• v.21 no.11
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• pp.1-7
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• 2016

In this paper, we proposed real-time relative radiometric calibration processing method for SWIR(Short Wavelength Infra-Red) sensor using 'Hyper-Spectral Imager'. Until now domestic research for Hyper-Spectral Imager has been performing with foreign sensor device. So we have been studying hyper spectral sensor device to meet domestic requirement, especially military purpose. To improve detection & identify capability in 'Hyper-Spectral Imager', it is necessary to expend sensing wavelength from visual and NIR(Near Infra-Red) to SWIR. We aimed to design real-time processor for SWIR sensor which can control the sensor ROIC(Read-Out IC) and process calibrate the image. To build Hyper-Spectral sensor device, we will review the SWIR sensor and its signal processing board. And we will analyze relative radiometric calibration processing method and result. We will explain several SWIR sensors, our target sensor and its control method, steps for acquisition of reference images and processing result.

• Journal of Korea Water Resources Association
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• v.48 no.8
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• pp.659-672
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• 2015

In flow velocity measurement of natural rivers, taking images with proper image quality is the fundamental and the most important step. Since flood peaks generally occur in night time, it is very difficult to capture proper images in that time. The present study aims to test a far infra-red camera as a adequate alternative to resolve the various problems in measuring flood discharges. The far infra-red cameras are able to capture images in night time without help of any extra illuminations. Futhermore they are not affected by fog nor smoke, hence they can be adapted for a fixed-type surface image velocimeters. For comparison, a commercial camcorder and a near infra-red cameras were used together. The test images were taken at a day time and a night time, and the image acquisition work were performed at an artificial flow channel of the Andong River Experiment Station. The analyzed results showed that the far infra-red camera would be a good instrument for surface image velocimeters, since they were able to capture regardless light condition. There are, however, a few minor problems in their accuracy of the analyzed results. About their accuracy a more study would be required.

• 한국약용작물학회:학술대회논문집
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• 2007.05a
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• pp.47-48
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• 2007

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2006.11a
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• pp.371-374
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• 2006

Heat transfer characteristic near a sharp fin in a supersonic flow was studied. Infra-red thermography was used to obtain the variation of surface heat transfer coefficient distribution. The attack angle of fin is ranged from $10^{\circ}\;to\;20^{\circ}$ and the oil flow method was also conducted to understand a flow field near a sharp fin.

• Journal of Biosystems Engineering
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• v.23 no.2
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• pp.195-205
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• 1998

급속한 산업의 발전은 우리의 생활을 여러모로 바꾸어 왔다. 그 중에서 특히 자연에 의존하는 농업분야는 이러한 산업의 발달에 힘입어 날로 기계화 및 정보화되고 있는 실정이다. 따라서 현대사회에서는 과거와 달리 다양한 형태의 도구들이 등장하여 이것을 이용함으로써 발전 속도가 더욱 가속화되고 있는 추세이며, 그 활용 여부가 우리 모두의 중요한 경쟁력으로 자리하고 있다 농업분야에서의 도구들은 생산성 향상에 기여하는 농업관련 기계에 초점을 맞추어 왔으나, 이제는 농산물의 품질에도 상당히 중요성이 인식되어 그것을 측정 및 분석하는 다양한 방법과 도구들이 등장하고 있는 실정이다. 그 중에서도 특히 농산물의 품질을 신속하게 판별하려는 여러 가지 시도는 괄목할만한 발전을 해왔으며, 그 응용분야도 날로 확산되고 있는 추세이다. 농산물은 공산품과 달리 상당히 불균일한 산물이며, 때문에 가급적 다수의 시료를 측정하여 결과를 사용하지 않으면 신뢰도가 떨어져 측정 가치를 잃게 된다. 그래서 시료를 파괴하지 않고 짧은 시간 내에 전수검사를 수행할 수 있는 분석 및 측정방법을 연구 발전시켜 왔다. 이 중에서 빛을 이용하여 분석을 행하는 분광학(Spectroscopy) 중에서 근적외선(Near Infra Red)을 이용한 형태에 대해 알아보기로 한다.(중략)

• Journal of Digital Contents Society
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• v.13 no.2
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• pp.189-195
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• 2012

In this paper, face detection method in NIR(Near-InfraRed) images for human recognition is proposed. Edge histogram based on edge intensity and its direction, has been used to detect effectively faces on NIR image. The edge histogram descripts and discriminates face effectively because it is strong in environment of lighting change. SVM(Support Vector Machine) has been used as a classifier to detect face and the proposed method showed better performance with smaller features than in ULBP(Uniform Local Binary Pattern) based method.

• Journal of Nutrition and Health
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• v.31 no.4
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• pp.767-776
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• 1998

The purpose of this study was to determine the percentage of body fat by three different methods and to investigate the relationship between food preference and intake and percentage of body fat in female high school dancers. Height, weight , girth circumference, and near infrared body fat(%) on were measured 112 subjects BMI body fat (%) , girth circumference body fat (%) , and anthropometric indices were also calculated . Dietary data was collected by questionnaire. All data was analyzed by frequency, percentage, mean and standard deviation, correlation, and crosstabulation; analysis, The results are summarized as follows ; 1) Average age of the subjects was 16.5 height was 161.0cm, weight was 50.7kg , near infra-red body fat was 27.0% BMI body fat was 21.9% , and girth circumference body fat 20.9%. 2) Near infra-red body fat (%), BMI body fat(%) , BMI , Rohrer index , and % ideal weight showed the most significant correlations with upper arm girth. The differences in the height among subject physiques classified by body fat(%) were non-significant, but the differences in height by BMI, Rohrer index, and % ideal weight were significant. 3) The preference values of fatty foods such as meat, milk, and fish were shown to increase with the percentage of body fat, The subjects who had higher percentage of body fat preferred foods cooked in oil. In contrast, the students with higher percentage of body fat were thought to have lower food intake and between meals frequencies. It was shown in this study that higher preference values for animal fatty foods and foods containing more cooking oil induced significant increases in body fat and weight.