• 동의생리병리학회지
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• 제27권2호
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• pp.153-166
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• 2013

Yang deficiency pattern is a representative syndrome differentiation. This article is a study on to which categories of modern diseases yang deficiency is assigned by reference to modern clinical papers and the meaning of yang deficiency interpreted with a perspective of Korean Medicine and a modern perspective. Yang deficiency, yang qi deficiency, lack of yang qi and yang qi debilitation are the words found in "Nei Ching" and yang qi can be interpreted as something to warm, drive and arouse. Zhangzhongjing considered recovery or loss of Yang as the key to life in "Shanghanlun". Danxi proposed "Yang being liable to hyperactivity, Yin being insufficient" and emphasized pathological ministerial fire of Yang exuberance rather than physiological ministerial fire of Yang deficiency. Zhangjingyue proposed "Yang not being in excess, Yin being often deficient" and understood growth and decline of yin qi are all led by yang qi and put emphasis on true yin in addition to yang qi. Diseases of yang deficiency pattern are related with decline of metabolic level, hypofunction of internal secretion, disorder of immune function, disorder of automatic nerve system, sympathetic nerve inhibition, metabolic disorder of microelements, increase of cGMP, change of microcirculation, low speed of blood stream, kidney malfunction. Diseases related with kidney are sterility, polycystic ovary syndrome, spinal stenosis, edema, renal failure, IgA nephropathy, erectile dysfunction, nephritis, prostatitis, benign prostatic hyperplasia, decrease of adrenal cortical hormone by nephrotic syndrome, myelodysplastic syndrome. Disease related with heart are heart failure, arrhythmia, cardiomyopathy, atherosclerosis heart disease, hypertension, hyperlipidemia, pulmonary heart disease. Diseases related with spleen are irritable bowel syndrome, ulcerative colitis. Diseases related with liver are hypothyroidism, liver cirrhosis ascites, hepatitis B, chronic hepatitis, hepatic diabetes. Diseases related with lung are allergic rhinitis, cough variant asthma, bronchial asthma, pulmonary emphysema. And diabetes mellitus, metabolic syndrome, aplastic anemia, headache, encephalatrophy, Alzheimer's disease are also related with yang deficiency.

• 한국해양환경ㆍ에너지학회지
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• 제12권1호
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• pp.55-59
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• 2009

중소형 폐 선박으로부터 생성되는 FRP를 재활용하기 위한 방법으로 층상으로 배열된 로빙층과 매트층을 분리하는 것은 에너지 면에서나 환경적인 면에서 많은 장점을 가지고 있다. 비록 로빙층과 매트층은 그 비율은 다르나 모두 수지와 유리를 포함한다는 유사성과 로빙층은 매트층에 비해 얇은 두께로 존재한다는 이유로 인해 로빙층을 매트층과 분리할 때 기계가 자동적으로 충간의 차이를 인식하기는 어렵다. 본 연구에서는 유리의 구성비가 다른 두 층의 화학적 성질의 차를 이용하여 광학적으로 층간 인식이 가능한 방법을 모색하였다. FRP에 대해 (1) FRP의 층 사이에 존재하는 수지를 녹이는 진한 황산, 또는 (2) 유리를 녹이는 염기성 용액(KOH의 메탄올과 아이소프로판올 용액), (3) 유리의 $SiO_2$와 반응하는 플루오르산(HF)용액, (4) HF 용액으로 처리한 후 수용성 염료를 도포한 경우, 각각 두 층간의 차별화가 일어났다. 이 결과를 이용하여 폐 FRP의 분리 공정이 단순화될 수 있을 것이다.

• 한국해양환경ㆍ에너지학회지
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• 제13권1호
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• pp.43-46
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• 2010

중소형 폐 선박으로부터 배출되는 FRP를 재활용하기 위한 방법으로 층상으로 배열된 로빙층과 매트층을 분리하는 것은 에너지 면에서나 환경적인 면에서 많은 장점을 가지고 있다. 비록 로빙층과 매트층은 모두 유리섬유로 이루어져있으나 수지함유량의 차이와 유리섬유의 조직형태의 차이로 인하여 재활용 용도는 매우 달라지고 있다. 그러나 로빙층은 매트층에 비해 얇은 두께로 존재한다는 이유로 인해 로빙층을 FRP에서 분리할 때 기계가 자동적으로 층간의 차이를 인식하기는 매우 어렵다. 따라서 이 추출과정에서 많은 로빙층의 손실과 공정의 난이도에 의한 처리시간 지연 등의 문제가 발생한다. 본 연구에서는 유리의 구성비가 다른 두 층의 화학적 성질의 차를 이용하여 광학적으로 층간 인식이 가능한 방법을 모색하였다. FRP에 대해 유리의 $SiO_2$와 반응하는 플루오르산(HF) 용액으로 처리한 후 수용성 염료를 도포한 경우 두 층간의 차별화가 확연하게 일어났다. 본 연구는 이 결과를 이용하여 폐 FRP의 면포분리 공정의 효율성을 극대화 할 수 있는 시스템을 개발 하였다.

• 한국멀티미디어학회논문지
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• 제14권11호
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• pp.1373-1382
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• 2011

본 논문에서는 사용자가 스스로 미소 훈련을 할 수 있도록 자동으로 미소를 분석하는 시스템을 제안한다. 제안된 시스템은 입력 영상으로부터 AdaBoost 알고리즘을 통해 얼굴 영역을 검출한 다음, ASM(active shape model)을 이용하여 생성된 얼굴 형태 모델을 이용하여 얼굴의 특징을 찾는다. 얼굴 특징을 찾은 다음에는 미소 분석에 필요한 입술 라인과 개별 치아 영역을 추출한다. 미소의 정도를 분석하기 위해 입술 라인과 치아와의 관계 판별이 필요한데, 이를 위해 치아 영상에 대해 2차 미분을 실행한 후, 세로축과 가로축에 히스토그램 프로젝션 방법을 이용하여 개별적인 치아 영역을 찾는다. 입술 라인과 개별 치아 영역에 대한 분석을 통해 사용자의 미소 정도를 자동으로 분석하고 결과를 실시간으로 사용자가 직접 확인할 수 있게 해 준다. 본 논문에서 개발된 시스템은 기존에 치과 병원에서 이루어진 미소 훈련을 위한 미소 평가 결과와 8.6% 이하의 오차를 보였으며 사용자가 혼자서도 미소를 훈련하는데 활용할 수 있는 것으로 분석되었다.

• 인간식물환경학회지
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• 제23권6호
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• pp.655-665
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• 2020

Background and objective: This study was conducted to compare the cultivation environment, growth of cut flowers, and management performance of conventional farms and smart farms growing the standard cut chrysanthemum, 'Jinba'. Methods: Conventional and smart farms were selected, and facility information, cultivation environment, cut flower growth, and management performance were investigated. Results: The conventional and smart farms were located in Muan, Jeollanam-do, and conventional farming involved cultivating with soil culture in a plastic greenhouse, while the smart farm was cultivating with hydroponics in a plastic greenhouse. The conventional farm did not have sensors for environmental measurement such as light intensity and temperature and pH and EC sensors for fertigation, and all systems, including roof window, side window, thermal screen, and shading curtain, were operated manually. On the other hand, the smart farm was equipped with sensors for measuring the environment and nutrient solution, and was automatically controlled. The day and night mean temperatures, relative humidity, and solar radiation in the facilities of the conventional and the smart farm were managed similarly. But in the floral differentiation stage, the floral differentiation was delayed, as the night temperature of conventional farm was managed as low as 17.7℃ which was lower than smart farm. Accordingly, the harvest of cut flowers by the conventional farm was delayed to 35 days later than that of the smart farm. Also, soil moisture and EC of the conventional farm were unnecessarily kept higher than those of the smart farm in the early growth stage, and then were maintained relatively low during the period after floral differentiation, when a lot of water and nutrients were required. Therefore, growth of cut flower, cut flower length, number of leaves, flower diameter, and weight were poorer in the conventional farm than in the smart farm. In terms of management performance, yield and sales price were 10% and 38% higher for the smart farm than for the conventional farm, respectively. Also, the net income was 2,298 thousand won more for the smart farm than for the conventional farm. Conclusion: It was suggested that the improved growth of cut flowers and high management performance of the smart farm were due to precise environment management for growth by the automatic control and sensor.

• 천문학회보
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• 제36권2호
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• pp.147.1-147.1
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• 2011

We investigate the chemical differentiation in F, G, K type stars with and without planets to extend the work by Kang et al. (2011) to various spectral types. Since the primordial chemical composition has been preserved in the stellar atmosphere, stellar metallicity can provide the information on the primordial material, which is the potential building block of planets. Therefore, we can explore the favored conditions for planet formation through the comparison of chemical compositions between planet-host stars (PHSs) and stars without planets. In this work, we analyze 19 F, G, and K type stars. In each spectrum, we measure equivalent widths (EWs) of Fe, Na, Mg, Al, Si, Ca, Sc, Ti, V, Cr, Mn, Co, and Ni using TAME (Tools for Automatic Measurement of Equivalent width). The abundances of these species can be derived with the measured EWs and MOOG code (Sneden 1973). Like results by precedent studies, we find that planet-host stars have abundances higher than stars without planets. The typical difference in the abundances of Na, Mn, Co and Ni is $0.4{\pm}0.2dex$. In addition, as found in Kang et al. (2011), Mn is the most different element between PHSs and comparison stars.

• Journal of Power Electronics
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• 제2권2호
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• pp.146-153
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• 2002

this paper presents an implementation of digital control system of speed sensorless for Reluctance Synchronous Motor (RSM) drives with direct torque control (DTC). The problem of DTC for high-dynamic performance RSM drive is generating a nonlinear torque due to a saturated nonlinear inductance curve with various load currents. The control system consists of stator flux observer, compensating inductance look-up table, rotor position/speed/torque estimator, two hysteresis band controllers, an optimal switching look-up table, IGBT voltage source unverter, and TMS320C31 DSP controller. The stator flux observer is based on the combined voltage and current model with stator flux feedback adapitve control that inputs are the compensated inductances, current and voltage sensing of motor terminal with estimated rotor angle for wide speed range. The rotor position is estimated rotor speed is determined by differentiation of the rotor position used only in the current model part of the flux observer for a low speed operation area. It does not requrie the knowledge of any montor paramenters, nor particular care for moter starting, In order to prove the suggested control algorithm, we have simulation and testing at actual experimental system. The developed sensorless control system is showing a good speed control response characterisitic result and high performance features in 20/1500 rpm with 1.0Kw RSM having 2.57 ratio of d/q reluctance.

• 한국측량학회지
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• 제37권5호
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• pp.351-357
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• 2019

UAV (Unmanned Aerial Vehicle) images can be exploited for rapid forest fire damage assessment by virtue of UAV systems' advantages. In 2019, catastrophic forest fire occurred in Goseong and Sokcho, Korea and burned 1,757 hectares of forests. We visited the town in Goseong where suffered the most severe damage and conducted UAV flights for forest fire damage assessment. In this study, economic and rapid damage assessment method for forest fire has been proposed using UAV systems equipped with only a RGB sensor. First, forest masking was performed using automatic elevation thresholding to extract forest area. Then ExG (Excess Green) vegetation index which can be calculated without near-infrared band was adopted to extract damaged forests. In addition, entropy filtering was applied to ExG for better differentiation between damaged and non-damaged forest. We could confirm that the proposed forest masking can screen out non-forest land covers such as bare soil, agriculture lands, and artificial objects. In addition, entropy filtering enhanced the ExG homogeneity difference between damaged and non-damaged forests. The automatically detected damaged forests of the proposed method showed high accuracy of 87%.

• International Journal of Contents
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• 제15권1호
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• pp.39-51
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• 2019

Spontaneous speech provides rich information defining the linguistic characteristics of individuals. As such, computational analysis of speech would enhance the efficiency involved in evaluating patients' speech. This study aims to provide a method to differentiate the persons with and without aphasia based on language usage. Ten aphasic patients and their counterpart normal controls participated, and they were all tasked to describe a set of given words. Their utterances were linguistically processed and compared to each other. Computational analyses from PCA (Principle Component Analysis) to machine learning were conducted to select the relevant linguistic features, and consequently to classify the two groups based on the features selected. It was found that functional words, not content words, were the main differentiator of the two groups. The most viable discriminators were demonstratives, function words, sentence final endings, and postpositions. The machine learning classification model was found to be quite accurate (90%), and to impressively be stable. This study is noteworthy as it is the first attempt that uses computational analysis to characterize the word usage patterns in Korean aphasic patients, thereby discriminating from the normal group.

• 한국지역지리학회지
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• 제2권2호
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• pp.183-196
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• 1996

지도의 형태는 전통적으로 항공사진이나 위성사진을 이용한 수작업에 의해 추출되어 왔으나, 최근의 원격탐사 기술의 발달은 지도의 형태추출에 새로운 혁신을 가져다 주었다. 공간필터기법을 이용하면 지도형태 추출의 자동화가 가능한데, 특히 선의 추출을 고빈도필터를 이용하여 가능하다. 본 연구에서는 먼저 필터와 지도화의 관계에 대해 이론적으로 고찰한 다음 지도의 선형화와 관련하여 유용하다고 알려진 필터들을 소개하였다. 그리고 이 필터들을 진주시의 SPOT Panchromatic 영상에 적용하였다. 적용한 결과 본고에서 소개한 필터적용 영상이 전반적으로 초기영상보다 개선되어 선형화작업에 매우 유용함을 확인하였다. 특히 초기영상이 포함된 필터영상들의 해석이 용이하였고 선형화가 명확하였다. 그러나 문헌에서 유용성이 인정된 필터라도 일부 필터는 진주시의 경우 선형화작업이 전혀 불가능하였다.