• 한국수자원학회논문집
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• 제31권5호
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• pp.621-635
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• 1998

한반도에서 비씨뿌리기에 의한 인공증우 가능성을 강우량 관측자료, 운량, 위성자료 및 상층관측자료로부터 조사하였다. 안동지역의 일 강수강도는 약 2.7mm/day, 1회 강수강도는 11 mm/day로 가장 작은 값을 보였다. 그러나 인공강우에 적합한 구름(운정온도가 -10'~-30')의 출현일은 1연에 130일로서 큰 값을 나타냈다. 이 지역에서 출현 운형은 층적운(Sc)이 가장 많았고, 다음으로 권운(Cirrus)및 고층운(Altostratus)였다. 상기 결과로 이 지역에서 비씨뿌리기의 적절한 전략이 세원진다면 인공증우의 가능성은 높을 것으로 추정된다. 상승응결고도(LCL)및 대류응결고도(CCL)은 계절에 따른 변화가 적었으며, 각각 100-950 hPa 및 450-500 hPa 고도에서 가장 큰 빈도를 나타내엇다. 여름철에 적운의 고도는 높으나 많은 수증기량을 함유하고 있는 반면 겨울철은 그 반대의 현상이 나타나 계절별 비씨뿌리기 방법의 차이가 있어야 함을 보여주었다.

• 대한원격탐사학회지
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• 제36권3호
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• pp.425-439
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• 2020

최근 성능이 크게 개선된 정지궤도 기상위성 Himawari-8, GK2A등이 운용됨에 따라 시공간적으로 보다 고해상도 AOD(Aerosol Optical Depth) 자료의 사용이 가능해졌다. 본 연구에서는 최근 4년간 한반도내 AERONET(Aerosol Robotic Network) 참여 5개 지점(서울대학교, 연세대학교, 한국외국어대학교, 광주과학기술원(GIST), 안면도 기후변화감시센터)의 에어로졸 관측 자료를 이용하여 Himawari-8/AHI(Advanced Himawari Imager) 에어로졸 산출물의 특징과 두 AOD 자료 간에 차이가 발생하는 원인에 대해 분석하였다. 분석결과 위성과 지상관측 AOD는 하늘이 맑을 경우(운량 < 3)에는 지리적 위치에 관계없이 매우 유사하게 나타났다. 하지만 운량이 증가할 경우 위성 관측과 지상관측 AOD의 차이는 지리적 위치에 관계없이 현저하게 증가하였다(편의: 0.05(맑음) → 0.21(전체), 상관계수: 0.74 → 0.64, RMSE: 0.21 → 0.51). 5개 지점 모두에서 운량이 많거나 상대습도가 높을 때 위성이 지상관측에 비해 AOD를 크게 과대 추정하는 것으로 보아 두 AOD 자료 간의 차이는 주로 운량과 상대습도와 관련이 깊은 것으로 판단된다. 하지만 풍속, 가강수량, 구름 하부 높이, 그리고 옹스트롬 지수(Angstrom Exponent)는 두 AOD 자료 간의 차이에 영향을 미치지 않는 것으로 보인다. 본 연구의 결과는 운량이 많을 경우 위성 관측 AOD 자료 사용시 주의가 필요함을 제시한다.

• 대한조선학회논문집
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• 제58권3호
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• pp.167-174
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• 2021

In this study, the amount and frequency characteristics of cloud cavitation formed on a navy ship rudder were investigated through cavitation image processing technique and cavitation noise analysis. A high-speed camera with high time resolution was used to observe the cavitation on a full-spade rudder. The deflection angle range of the full-spade rudder was set to 8 to 15 degrees so that cloud cavitation was generated on the rudder surface. For images taken at 10⁴ fps (frame per second), reference values for detecting cavitation were defined and detected in Red, Green, Blue and Hue, Saturation, Lightness color spaces to quantitatively analyze the amount of cavitation. Intrinsic frequency characteristics of cloud cavitation were detected from the time series data of the amount of cavitation. The frequency characteristics of cloud cavitation obtained by using the image processing technique were found to be the same through the analysis of the noise signal measured by the hydrophone installed on the hull above the rudder, and its peak value was in the frequency band of 30~60Hz.

• 한국환경과학회지
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• 제5권3호
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• pp.253-263
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• 1996

This study is an attempt to classify climatic regions of Korea based on the data of sunshine duration and to clarify the characteristics of sunshine for each divided regions. The data used in this study are the mean values of monthly and ten-daily sunshine duration, sunshine percentage, solar radiation and proud amount obtained from 63 weather stations of the Korea Meteorological Administration during the period of 1974~ 1993. The characteristics of annual change of sunshine percentage, annual duration of sunshine, percentage of sunshine, annual radiation, amount of cloud, days of sunshine percentage above 80% and-days of sunless are investigated by the mean values of -the stations belong to divided regions. The ward method of hierarchical cluster analysis is adopted to the analysis of data for the regional division. The results obtained in this study are summarized as follows. (1) The sunshine regions of Korea can be divided into six regions of the central west, central east, south west, souls east, Ullung-do and Cheju-do. These are strongly affected by the dirtribution of inclined slopes taking account of the topographic characteristics of Korea. (2) Annual distribution shows the sunshine duration of 1777~ 2287 hours, sunshine percentage of 40~53%, solar radiation of 3469~4637 MJ/$m^2$, cloud amount of 5.0~6.1, days of sunshine perrentage above 80% of 53~116days and sunless days of 46~71days. (3) The types of annual change of sunshine percentages is classified with four types of minimum in July and maximum in October, minimum in July and maximum in December, high in May and October and low in July and January, high in May and November and low in June and January. (4) The long-term trend of sunshine duration decrease in peninsula area but increase in island area and the Tong-term inclination of cloud amount is almost zero. The author believe this tendency is related to a pollutional turbidity than a cloud amount in inland area.

• 화약ㆍ발파
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• 제36권4호
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• pp.26-34
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• 2018

인화성 물질을 보유하고 있는 시설물에서 인화성 물질이 유출되어 형성된 증기운의 폭발이 국내와 해외에서 자주 발생하고 있다. 본 연구에서는 증기운 폭발에 따른 폭풍 효과를 모사하기 위해서 TNT 등가법과 다중에너지법을 적용하였다. TNT 등가법은 단순하고 직접적인 적용이 가능하기 때문에 증기운 폭발을 해석하기 위해서 지금까지 널리 사용되고 있다. 그러나 TNT 등가법은 증기운 폭발로부터 발생하는 연소에너지와 이를 TNT 등가량으로 환산하는데 필요한 적절한 상관관계를 선택하는 것이 어렵다는 근본적인 단점을 가지고 있다. 다중에너지법에서는 증기운 폭발의 강도가 증기운이 확산되는 지역에서의 확산 경로의 레이아웃에 따라 달라진다고 가정한다. 즉 증기운의 잠재적 폭발력은 혼잡지역의 혼잡정도에 따라 달라진다. 본 연구에서는 TNT 등가법과 다중에너지법의 적용성을 평가하기 위해서 Flixborough 폭발사고를 사례연구로 분석하였다. 분석 결과 TNT 등가계수와 폭발강도계수를 현장상황에 맞게 적절히 선택하는 경우 TNT 등가법과 다중에너지법은 증기운 폭발 사고를 분석하는데 적합할 것으로 예상된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권4호
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• pp.1732-1750
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• 2016

Recently, Peer-to-Peer (P2P) live streaming assisted by the cloud computing has attracted considerable attention to improve the reliability of the P2P such as the resilience to peer churn and the shortage of upload capacity. The cost of cloud-assistance is comprised of the number of requests issued to the cloud and the amount of data fetched from the cloud. In this paper, we propose three techniques to reduce the cost of such a cloud-assistance.More concretely, in the proposed method, 1) each peer which lost its parent in the overlay can find a new parent by referring to the information registered in the cloud, 2) several peers which proactively fetch chunks from the cloud are dynamically invested, and 3) the number of requests issued to the cloud is reduced by allowing peers to fetch a collection of chunks using a single request. The performance of the proposed method is evaluated by simulation. The simulation results indicate that it reduces the cost of conventional scheme by 46% while guaranteeing the quality of live streaming service.

• 대기
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• 제29권5호
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• pp.609-614
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• 2019

Cloud seeding experiment has been proposed as a way to alleviate severe air pollution problem because, if successful, artificially produced precipitation through cloud seeding could scavenge out some portion of air pollutants. As a first step to verify the practicality of such experiment, seedability of the clouds observed in Seoul is assessed by examining statistical characteristics of some relevant meteorological variables. Analyses of 9 years of Korea Meteorological Agency Seoul station data indicate that as PM₁₀ mass concentration increases, cloud amount, liquid water path, and ice water path decrease, but the difference between temperature and dew point temperature tends to increase. Such finding suggests that cloud seeding becomes less feasible as air pollution becomes more severe in the Seoul metropolitan area, at least in a statistical sense. For some individual severe air pollution events, however, seedable clouds may exist and indeed cloud seeding experiments can be successful. Therefore, detailed investigation on cloud seedability for individual severe air pollution events are highly required to make a concrete assessment of cloud seeding as a way to alleviate severe air pollution problem.

• Journal of Computing Science and Engineering
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• 제10권1호
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• pp.21-31
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• 2016

With the application and development of biomedical techniques such as next-generation sequencing, mass spectrometry, and medical imaging, the amount of biomedical data have been growing explosively. In terms of processing such data, we face the problems surrounding big data, highly intensive computation, and high dimensionality data. Fortunately, cloud computing represents significant advantages of resource allocation, data storage, computation, and sharing and offers a solution to solve big data problems of biomedical research. In order to improve the efficiency of resource management in cloud computing, this paper proposes a clustering method and adopts Radial Basis Function in order to compress comprehensive data sets found in biology and medicine in high quality, and stores these data with resource management in cloud computing. Experiments have validated that with such a data-compression-based resource management in cloud computing, one can store large data sets from biology and medicine in fewer capacities. Furthermore, with reverse operation of the Radial Basis Function, these compressed data can be reconstructed with high accuracy.

• 대기
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• 제26권3호
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• pp.435-444
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• 2016

In spite of considerable progress in the recent decades, there still remain large uncertainties in numerical cloud models. In this study, effects of uncertainty in terminal velocity of graupel on cloud simulation are investigated. For this, a two-dimensional bin microphysics cloud model is employed, and deep convective clouds are simulated under idealized environmental conditions. In the sensitivity experiments, the terminal velocity of graupel is changed to twice and half the velocity in the control experiment. In the experiment with fast graupel terminal velocity, a large amount of graupel mass is present in the lower layer. On the other hand, in the experiment with slow graupel terminal velocity, almost all graupel mass remains in the upper layer. The graupel size distribution exhibits that as graupel terminal velocity increases, in the lower layer, the number of graupel particles increases and the peak radius in the graupel mass size distribution decreases. In the experiment with fast graupel terminal velocity, the vertical velocity is decreased mainly due to a decrease in riming that leads to a decrease in latent heat release and an increase in evaporative cooling via evaporation, sublimation, and melting that leads to more stable atmosphere. This decrease in vertical velocity causes graupel particles to fall toward the ground easier. By the changes in graupel terminal velocity, the accumulated surface precipitation amount differs up to about two times. This study reveals that the terminal velocity of graupel should be estimated more accurately than it is now.

• 한국정보전자통신기술학회논문지
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• 제12권1호
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• pp.7-12
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• 2019

대기 중의 구름은 태양의 복사에너지를 반사하여 일조량을 변화시킬 뿐만 아니라 고 지표면의 복사에너지를 반사 시켜 기온 변화에 영향을 미치는 중요한 변수이며, 특히 지표면의 일조량은 태양에너지를 활용하는 산업분야에서 매우 중요한 필수 정보이다. 따라서 지표면에서 하늘의 관측은 현재까지 목측이 일반적인 방법이며 위성사진이나 상대적으로 관측 범위가 좁은 장비들을 사용하여 보완하는 실정이다. 따라서 목측을 대체할 운량의 관측에서 자동 관측 시스템을 위한 알고리즘이 개발되었으나 계절에 따라 대기 중의 오염물질이나 안개 등으로 관측치의 신뢰도가 현장에서 적용될 만큼 높지 않다. 따라서 연무에 강한 운량 관측 알고리즘을 개발하였으며 이는 전천 영상으로부터 연무 정도를 계산하여 수치화하고 개발된 구름판독기에 추가하여 계절과 기후에 둔감한 알고리즘을 개발하여 기존의 구름판독기와 비교하여 신뢰도를 향상시킴을 확인하였다.