• 한국농림기상학회지
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• 제9권4호
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• pp.228-233
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• 2007

꼬마배나무이(Caccopsylla pyricola)는 배나무의 주요한 해충으로 배나무의 거친 껍질 밑에서 성충상태로 월동하는 해충이다. 봄철 날씨가 따뜻해지면 월동성충은 활동을 시작하여 나무 가지로 이동하고 단과지에 알을 낳는다. 본 연구는 기계유유제를 이용한 꼬마배나무이 월동성충 적기 방제를 위하여 월동해충이 나무위로 이동하는 시기를 예측하는 모형을 개발하고자 수행하였다. 봄철 배나무 거친 껍질 밑 및 수상 단과지에서 꼬마배나무이 월동성충 밀도를 조사하여, 성충의 상대적인 이동비율(단과지에서 상대적 발생비율)을 계산하였다. 임의로 $5\sim9^{\circ}C$까지 $1^{\circ}C$ 간격으로 꼬마배나무이 월동성충 활동에 필요한 하한온도를 선정하고 2월 1일부터 일별 최고온도 자료를 이용하여 상대적 이동비율이 0.8 이상 되는 날까지 각 하한온도를 초과하는 누적일수를 계산하고 비교하였다. 또한 같은 방법으로 꼬마배나무이 월동성충이 낳은 알 초발생일까지 누적일수를 계산하였다. 그 결과 하한온도를 6으로 했을 때 각 예측일까지 누적일수의 평균에 대한 변이 계수가 가장 낮았으며, 평균 누적일수가 12에 도달할때 월동성충의 이동이 일어났고, 25일 때 산란이 관측되었다. 이 조건의 모형 매개변수를 이용하여 수원 및 천안 지역에서 포장적합결과 모형 예측결과는 실측 이동시기를 잘 표현하였다. 기타 실제 농가포장에서 꼬마배나무이 월동성충 이동시기 예측모형의 활용방안에 대하여 고찰하였다.

• 한국전기전자재료학회논문지
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• 제24권7호
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• pp.525-531
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• 2011

In this paper, experimental analyses have been performed to compare the electrical characteristics of n channel LT(low temperature) and HT(high temperature) poly-Si TFTs(polycrystalline silicon thin film transistors) on quartz substrate according to activated step annealing. The size of the particles step annealed at low temperature are bigger than high temperature poly-Si TFTs and measurements show that the electric characteristics those are transconductance, threshold voltage, electric effective mobility, on and off current of step annealed at LT poly-Si TFTs are high more than HT poly-Si TFT's. Especially we can estimated the defect in the activated grade poly crystalline silicon and the grain boundary of LT poly-Si TFT have more high than HT poly-Si TFT's due to high off electric current. Even though the size of particles of step annealed at low temperature, the electrical characteristics of LT poly-Si TFTs were investigated deterioration phenomena that is decrease on/off current ratio depend on high off current due to defects in active silicon layer.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2001년도 추계학술대회 논문집
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• pp.264-268
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• 2001

In this study, CT specimens were prepared from spring steel(SUP9) processed shot peening which was room temperature, low temperature and high temperature experiment. And we got the following characteristics from fatigue crack growth test carried out in the environment of room, and high temperature at $25^{\circ}C,\; 50^{\circ}C, \;100^{\circ}C,\; 150^{\circ}C,\; and\; 180^{\circ}C$ in the range of stress ratio of 0.05 by means of opening mode displacement. The threshold stress intensity factor range $\DeltaK_{th}$ in the early stage of fatigue crack growth (Region I ) and stress intensity factor range $\Delta$K in the stable of fatigue crack growth (Region II) was decreased in proportion to descend temperature. It assumed that the fatigue resistance characteristics and fracture strength at low temperature and high temperature is considerable higher than that of room temperature in the early stage and stable of fatigue crack growth region.

• Journal of Advanced Marine Engineering and Technology
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• 제25권6호
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• pp.1228-1236
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• 2001

In this study, CT specimens were prepared from ASTH A5l6 steel which was used for pressure vessel plates for moderate and lower temperature service. And we got the fellowing characteristics from fatigue crack growth test carried out in the environment of room and low temperature at $25^{\circ}C$ , $-30^{\circ}C$, $-60^{\circ}C$, $-80^{\circ}C$, $-100^{\circ}C$ and $-120^{\circ}C$ and in the range of stress ratio of 0.1, 0.3 by means of opening mode displacement. At the constant stress ratio, the Threshold stress intensity factor range ΔAKth in the early stage of fatigue crack growth (Region I) and stress intensity factor range $\DeltaK$ in the stable of fatigue crack growth (Region II) was increased in proportion to descend temperature. It assumed that the fatigue resistance characteristics and fracture strength at low temperature is considerable higher than that of room temperature in the early stage and stable of fatigue crack growth region. The straight line slope relation of logarithm da/dN-$\Delta$K in Region II that is, the fatigue clack growth exponent m increased with descending temperature at the constant stress ratio. It assumed that the fatigue crack growth rate da/dN is rapid in proportion to descend temperature in Region II and the cryogenic-brittleness greatly affect a material with decreasing temperature.

• 대한용접접합학회:학술대회논문집
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• 대한용접접합학회 2001년도 춘계학술발표대회 개요집
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• pp.220-223
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• 2001

In this study, CT specimens were prepared hem ASTM SA516 which was used for pressure vessel plates for room and low temperature service. And we got the following characteristics from fatigue crack growth test carried out in the environment of room and low temperature at $25^{\circ}C$, -3$0^{\circ}C$, -6$0^{\circ}C$, -8$0^{\circ}C$, -l$0^{\circ}C$ and -l2$0^{\circ}C$ and in the range of stress ratio of 0.1, 0.3 by means of opening mode displacement. At the constant stress ratio, the threshold stress intensity factor range ΔK$_{th}$ in the early stage of fatigue crack growth ( Region I ) and stress intensity factor range ΔK in the stable of fatigue crack growth ( Region II) was increased in proportion to descend temperature. It assumed that the fatigue resistance characteristics and fracture strength at low temperature is considerable higher than that of room temperature in the early stage and stable of fatigue crack growth region. The straight line slope relation of logarithm da/dN - ΔK in Region II, that is, the fatigue crack growth exponent m increased with descending temperature at the constant stress ratio. It assumed that the fatigue crack growth rate da/dN is rapid in proportion to descend temperature in Region H and the cryogenic-brittleness greatly affect a material with decreasing temperature.e.greatly affect a material with decreasing temperature.

• 폴리머
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• 제26권6호
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• pp.812-820
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• 2002

본 연구에서는 나노입자인 카본블랙을 고분자에 분산시킨 복합체를 각각 용액혼합과 용융혼합을 이용하여 positive temperature coefficient (PTC) 특성을 연구하였다. 전도성 나노입자인 카본블랙과 고분자 복합체의 저항 통전 (threshold)은 용융혼합하였을 때 카본블랙의 함량이 35wt% 이상에서 나타났으며. 용액혼합에서는 카본블랙 함량이 40 wt% 이상에서 나타났다. Ethyl-one vinylacetate copolymer (EVA)의 경우, 온도의 변화에 따라서 저항이 서서히 증가하다가 용융점 근처에서 극대값을 나타내었지만, high density polyethylene (HDPE)의 경우는 저항이 온도의 변화에 따라 일정하다가 용융점 근처에서 증가하기 시작하여 용융점에서 극대값을 나타내었다. 통전 후의 낮은 저항과, scanning electron microscopy (SEM)으로 관찰한 결과로부터 전도성 나노입자의 카본블랙 분산방법에서 용액혼합의 분산 정도가 용융혼합 못지않게 나타났다. PTC 소재에 전류인가시 큐리온도에서 1차적으로 저항이 증가하였으며, 고분자의 용융점에서 2차적으로 트립온도가 될 때까지 저항이 증가하다가 트립온도 이후에는 저항이 일정하게 유지됨을 알 수 있었다.

• Advanced Composite Materials
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• 제16권3호
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• pp.195-206
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• 2007

Carbon nanofiber (CNF)/unsaturated polyester resin (UPR) was prepared by a solvent evaporation method, and the temperature dependency of electrical conductivity was investigated. The CNF/UPR composites had quite a low percolation threshold due to CNF having a larger aspect ratio and being well dispersed in the UPR matrix. The positive temperature coefficient (PTC) was found in the CNF/UPR composites and it showed stronger effect around the percolation threshold. The electrical resistance of the CNF/UPR composites decreased and had lower temperature dependency with increasing numbers of thermal cycles.

• Asia-Pacific Journal of Atmospheric Sciences
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• 제54권4호
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• pp.527-544
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• 2018

This paper presents a nighttime sea fog detection algorithm incorporating unsupervised learning technique. The algorithm is based on data sets that combine brightness temperatures from the $3.7{\mu}m$ and $10.8{\mu}m$ channels of the meteorological imager (MI) onboard the Communication, Ocean and Meteorological Satellite (COMS), with sea surface temperature from the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA). Previous algorithms generally employed threshold values including the brightness temperature difference between the near infrared and infrared. The threshold values were previously determined from climatological analysis or model simulation. Although this method using predetermined thresholds is very simple and effective in detecting low cloud, it has difficulty in distinguishing fog from stratus because they share similar characteristics of particle size and altitude. In order to improve this, the unsupervised learning approach, which allows a more effective interpretation from the insufficient information, has been utilized. The unsupervised learning method employed in this paper is the expectation-maximization (EM) algorithm that is widely used in incomplete data problems. It identifies distinguishing features of the data by organizing and optimizing the data. This allows for the application of optimal threshold values for fog detection by considering the characteristics of a specific domain. The algorithm has been evaluated using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) vertical profile products, which showed promising results within a local domain with probability of detection (POD) of 0.753 and critical success index (CSI) of 0.477, respectively.

• 한국정밀공학회지
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• 제27권2호
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• pp.29-33
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• 2010

We have investigated fs-laser ablation as well as optoperforation threshold of PDMS (Polydimethylsiloxane) thin lid cover on ${\mu}$-channel with changing the flow medium from water to hemoglobin. The ablation threshold is found to be independent of both PDMS thin film thickness and flow medium, but the optoperforation threshold is dependent on the films thickness. The observation that the ablation process is well described with simple two-temperature model supposed that the cover lid PDMS of $\mu$-channel be processed with minimized thermal effects by fs-laser with low laser fluence.

• Asian Journal of Atmospheric Environment
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• 제11권3호
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• pp.184-193
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• 2017

People spend the majority of their time in indoor environments. Maintaining adequate indoor temperature and humidity is necessary to support health and improve quality of life. However, people with low incomes can be vulnerable because they may not be able to use effective cooling and heating systems in their homes. In this study, the indoor temperature and humidity in low-income residences over a year in Seoul, Korea was characterized. Indoor temperature and humidity were measured in three types of homes (12 rooftop residences, 16 basement residences, and 18 public rental apartments) occupied by low-income residents. Both differed significantly among the three types of residence, particularly during the summer and winter seasons. A regression model between indoor and outdoor temperature detected a heating threshold at $3.9^{\circ}C$ for rooftop residences, $9.9^{\circ}C$ for basement residences, and $17.1^{\circ}C$ for public rental apartments. During tropical nights and cold-wave advisory days, rooftop residences showed the most extreme indoor temperatures. This study demonstrates that people living in rooftop residences could be at risk from extreme hot and cold conditions.