• 한국안광학회지
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• 제10권4호
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• pp.329-337
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• 2005

본 연구에서는 지역에 따른 어린이들의 색각이상 유병율을 보고자 했다. 연구대상자는 4개 지역의 3-6 학년 초등학생들을 대상으로 하였다. 혈중 납과 요중 수은은 원자흡광분석기로 측정을 하였으며, 모든 연구대상자들은 CDC와 ATSDR 권고기준 이하였다. 색각검사는 Lanthony D-15 desaturated panel test를 이용하였으며, 정량적 평가와 정성적 평가를 동시에 시행하였다. 연구결과 공단지역 어린이들은 다른 지역에 비해 높은 색혼돈지수와 유병율을 보였다. 환경오염노출과 관련해서는 혈중 납과 요중 수은과의 연관성은 찾을 수 없었다. 따라서 본 연구결과 공단지역 어린이들의 색각이상에는 다른 영향요인이 작용했을 것으로 본다.

• Journal of Preventive Medicine and Public Health
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• 제29권3호
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• pp.529-538
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• 1996

이 연구는 산업장에서 색각이상과 관련된 유기용제 폭로근로자들에서 후천성으로 발생할 수 있는 색각이상을 정성적이고 정량적으로 평가하고 색각이상에 영향을 미치는 요인을 조사하고자 저농도의 유기용제 폭로근로자 70명과 대조군 47명을 대상으로 실시하였다. 한식 이중 15색상 배열 검사기를 이용한 색각이상을 평가한 결과 색상배열의 착오 비율과 정량적으로 산출한 색 혼란지수는 유기용제 폭로군과 대조군간 차이가 없었다. 색 혼란지수와 연령과의 선형관계는 두 군 모두에서 연령이 증가할수록 색 혼란지수가 유의하게 증가하였으며(p<0.05), 각 연령군별로 층화한 색 혼란지수의 중앙값은 폭로군이 대조군보다 높게 나타났으나 29세이하 연령군에서만 통계학적으로 유의하였다. 15색상 배열검사의 배열형태에 따라 분류한 색각이상의 유병률은 두 군 모두에서 21%로 차이가 없었으며 색 혼란지수에 대해 연령, 흡연, 음주상태 및 유기용제 폭로유무를 독립변수로 하여 다중회귀분석을 실시한 결과 연령이 유의한 변수로 나타났다(p<0.05). 이상의 결과로는 유기용제 폭로와 색각이상 발생과의 관련성을 제시할 수 없으며, 추후 색각이상 평가를 위한 색상배열 검사의 표준환경 설정, 유기용제 폭로 근로자들의 개개인의 폭로정도 평가, 그리고 색각이상 검사결과를 정확하게 분류하는 기준 등에 대한 연구가 필요할 것이라고 생각되며, 또한 저농도의 유기용제에 폭로되는 근로자들의 색각이상의 평가는 정성적이고 정량적인 방법을 통한 평가가 바람직하며 일시적인 평가보다는 추적관찰을 통한 정량적인 지수의 변화를 관찰해야 할 것으로 생각된다.

• Architectural research
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• 제18권4호
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• pp.129-136
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• 2016

People have experienced physical problems including vision problems with aging; some are normal and some are abnormal. When they have abnormal and impaired vision, they have a lower level of life satisfaction than their sighted peers. For the elderly with sight loss, well-designed housing could be an important indicator for their quality of life. Housing adjustment and modification could help the elderly cope with sight loss, do daily activities more independently, and lead to better quality of life. The purpose of this study is to investigate housing conditions for the elderly with vision impaired, state of housing adjustment or modifications, and the effects of housing conditions on the wellness of the elderly in Korea. For this study, 18 housing cases were investigated and a total number of 65 visually impaired people aged over 55 participated. Housing condition of those participated was poor. Most observed home hazards are level differences in living areas, obstacles in the hallway, confined space that is not allowed structural modification, swing doors from wardrobe or cabinets, color contrast, poor lightings, and etc. Majority of households participated in this study did not make modification or refurbishments, rather many of them tend to adapt themselves to their residential environments. Older adults living in better housing condition and under less difficult environments are likely to have higher life satisfaction. The effects of housing condition on wellness could be more influential when individual capabilities (e.g. health condition) are weaker. The findings underline that with intervention of individual characteristics, the effects of housing and physical environment on negative outcomes of vision loss would get ameliorated or reduced.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 추계학술대회 논문집 학회본부 B
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• pp.511-513
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• 1998

This paper describes a full color stereoscopic video display system using a LCD shutter. Human apprehends the world with a natural stereo vision. The left eye sees through a slightly different perspective from the right eye; proposed vision system combines two images into a single image that has stereo depth. That is, when the left image is on the screen, the left shutter opens and the right shutter closes - and vice versa. The LCD shutter channels the left image to the left eye, and the right image to the right eye. The brain then fuses the stereo pair into a single high-resolution, flicker-free 3D image. The designed vision system is a real-time system that shows stereoscopic images without the loss of image information from video cameras.

• 한국축산식품학회지
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• 제40권6호
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• pp.896-907
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• 2020

Imaging technique or computer vision (CV) technology has received huge attention as a rapid and non-destructive technique throughout the world for measuring quality attributes of agricultural products including meat and meat products. This study was conducted to test the ability of CV technology to predict the quality attributes of beef. Images were captured from longissimus dorsi muscle in beef at 24 h post-mortem. Traits evaluated were color value (L*, a*, b*), pH, drip loss, cooking loss, dry matter, moisture, crude protein, fat, ash, thiobarbituric acid reactive substance (TBARS), peroxide value (POV), free fatty acid (FFA), total coliform count (TCC), total viable count (TVC) and total yeast-mould count (TYMC). Images were analyzed using the Matlab software (R2015a). Different reference values were determined by physicochemical, proximate, biochemical and microbiological test. All determination were done in triplicate and the mean value was reported. Data analysis was carried out using the programme Statgraphics Centurion XVI. Calibration and validation model were fitted using the software Unscrambler X version 9.7. A higher correlation found in a* (r=0.65) and moisture (r=0.56) with 'a*' value obtained from image analysis and the highest calibration and prediction accuracy was found in lightness (r²_c=0.73, r²_p=0.69) in beef. Results of this work show that CV technology may be a useful tool for predicting meat quality traits in the laboratory and meat processing industries.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.313-316
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• 2015

Construction is one of the most dangerous job sectors, which reports tens of thousands of time-loss injuries and deaths every year. These disasters incur delays and additional costs to the projects. The safety management needs to be on the top primary tasks throughout the construction to avoid fatal accidents and to foster safe working environments. One of the safety regulations that are frequently violated is the wearing of personal protection equipment (PPE). In order to facilitate monitoring of the compliance of the PPE wearing regulations, this paper proposes a vision based method that automatically identifies whether workers wear hard hats and safety vests. The method involves three modules - human body detection, identification of safety vest wearing, and hard hat detection. First, human bodies are detected in the video frames captured by real-time on-site construction cameras. The detected human bodies are classified into with/without wearing safety vests based on the color features of their upper parts. Finally, hard hats are detected on the nearby regions of the detected human bodies and the locations of the detected hard hats and human bodies are correlated to reveal their corresponding matches. In this way, the proposed method provides any appearance of the workers without wearing hard hats or safety vests. The method has been tested on onsite videos and the results signify its potential to facilitate site safety monitoring.

• 동의생리병리학회지
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• 제16권5호
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• pp.840-844
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• 2002

The application of Shinkihuan umder the combination of configuration, color, pulse and symptoms leads to the following conclusions: Shinkihuan is applied to the diseases related with lung, kidney and the spine: difficult urination of old people, shortness of breath, hematuria, loss of voice, distorted vision, deafness of deficiency, hemorrhoids, thirst, carbunde, suppurative infection, children's retardation of walking and noma, etc ... The effect of Shinkihuan is as follows. It nourishes the lung, replenishes the kidney fluid, relieves the phlegm, tranquilizes fever due to deficiency of blood and reinforces the liver. Shinkihuan is appropriate for the persons with the following characteristics in configuration: male, tall, thin, dam-typed, inverted-triangular, prominent nosed and dry.

• 로봇학회논문지
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• 제6권2호
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• pp.173-181
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• 2011

Recognition of traffic signs helps an unmanned ground vehicle to decide its behavior correctly, and it can reduce traffic accidents. However, low cost traffic sign recognition using a vision sensor is very difficult because the signs are exposed to various illumination conditions. This paper proposes a new approach to solve this problem using an illuminometer which detects the intensity of illumination. Using the intensity of illumination, the recognizer adjusts the parameters for image processing. Therefore, we can reduce the loss of information such as the shape and color of traffic signs. Experimental results show that the proposed method is able to improve the performance of traffic sign recognition in various weather and lighting conditions.

• 대한한의학방제학회지
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• 제10권2호
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• pp.251-260
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• 2002

The application of Shinkihuan umder the combination of configuration, color, pulse and symptoms leads to the following conclusions: 1. Shinkihuan is applied to the diseases related with lung, kidney and the spine: difficult urination of old people, shortness of breath, hematuria, loss of voice, distorted vision, deafness of deficiency, hemorrhoids, thirst, carbuncle, suppurative infection, children's retardation of walking and noma, etc... 2. The effect of Shinkihuan is as follows. It nourishes the lung, replenishes the kidney fluid, relieves the phlegm, tranquilizes fever due to deficiency of blood and reinforces the liver. 3. Shinkihuan is appropriate for the persons with the following characteristics in configuration: male, tall, thin, dam-typed, inverted-triangular, prominent nosed and dry.

• International Journal of Railway
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• 제3권3호
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• pp.106-112
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• 2010

Accidents at level crossing have large portion on train accidents, and causes economical loss by train delay and operational interruption. Various safety equipments are employed to reduce the accident at level crossing, but existing warning device, and crossing barrier are simple train-oriented protection equipments. In this paper, intelligent railway level crossing system is proposed to prevent and reduce accidents. For train driver's prompt action, image of level crossing and obstacle warning message are continuously provided to train driver through wireless communication in level crossing control zone. Obstacle warning messages, which are extracted by computer vision processing of captured image at level crossing, are recognized by train driver through message color, flickering and warning sound. It helps train driver to decide how to take an action. Meanwhile, for vehicle driver's attention, location and speed of approaching train are given to roadside equipments. We identified the effect of proposed system through test installation at Sea train and Airport level crossing of Yeong-dong line.