• 해양환경안전학회지
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• 제29권6호
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• pp.536-542
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• 2023

인공위성은 최첨단 기술로써 시공간적 관측제약이 적어 해양 사고에 효과적 대응과 해양 변동 특성 분석 등으로 각국의 국가기관들이 위성 정보를 활용하고 있다. 하지만 고해상도 위성 관측 기반 해수면 온도 자료(Operational Sea Surface Temperature and Sea Ice Analysis, OSTIA)는 위성의 기기적, 또는 지리적 오류와 구름으로 인해 낮게 관측되거나 공백으로 처리되며 이를 복원하기까지 수 시간이 소요된다. 본 연구는 최신 딥러닝 기반 알고리즘인 LaMa 기법을 활용하여 결측된 OSTIA 자료를 복원하고, 그 성능을 기존에 이용되어 온 세 가지 영상처리 기법들의 성능과 비교하여 평가하였다. 결정계수(R²)와 평균절대오차(MAE) 값을 이용하여 각 기법의 위성 영상 복원 성능을 평가한 결과, LaMa 알고리즘을 적용하였을 때의 R²과 MAE 값이 각각 0.9 이상, 0.5℃ 이하로, 기존에 사용되어 온 쌍 선형보간법, 쌍삼차보간법, DeepFill v1 기법을 적용한 것보다 더 우수한 성능을 보였다. 향후에는 현업 위성 자료 제공 시스템에 LaMa 기법을 적용하여 그 가능성을 평가해 보고자 한다.

• 한국해양학회지:바다
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• 제5권4호
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• pp.295-304
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• 2000

수리적인 환경 요인(조석, 바람 등)에 따른 하계 서남극 킹조지섬 마리안 소만의 수층 특성과 부유물질 분산을 이해하기 위해 내만에 유빙이 점유했던 시기에 30분 간격으로 CTDT연속 관측을 수행하였고 공간적인 표층 해수의 특성(수온과 염분)과 부유물질농도가 측정되었다. 소만 중앙의 수층은 탁도의 관점에서 크게 1)저온 ${\cdot}$ 저염 ${\cdot}$ 고탁도의 표층 플름과 2)고온 ${\cdot}$ 고염 ${\cdot}$ 저탁도의 맥스웰 만 유입수로 나누어진다. 소만 안쪽의 빙벽 앞과는 달리 빙하기저부 유출에 의한 담수성 수층이 나타나지 않았다. 고온의 맥스웰 만 표층수와 조수빙하/유빙의 열적 융빙은 표층 혼합층을 발달시키며 특히 소만 내 유빙의 점유와 거동으로 인해 맥스웰 만 유입수의 수층 특성이 불안정해진다. 이러한 수층의 불안정으로 인해 조석주기에 따른 맥스웰 만 유입수와 표층 플름의 거동은 나타나지 않았다. 소만 북부 연안에 나타나는 표층 플름에 비해 고온 ${\cdot}$ 고염 ${\cdot}$ 고탁도 표층 플름은 강한 북서풍 계열의 바람으로 위버 반도 서부 연안을 따라 중앙 분지로 유입되는 연안류이다. 표층 플름의 육성기원 쇄설물은 주로 급경사 연안의 빙벽 가장자리와 일부 해안가의 융설수류로부터 유입되며 조석과 바람에 의해 분산되고 조절된다. 특히 대조차 시기의 북서풍은 고탁도의 표층 플름을 내만에 체류시키며 소만 분지에 육성기원 쇄설성입자의 퇴적을 증가시킨다.

• 대기
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• 제22권2호
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• pp.209-219
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• 2012

Extreme heavy snowfall episodes have been investigated in case of accumulated snowfall amount larger than 50 cm during the past ten years, in order to understand the association of low-level stability with heavy snowfall in the Yeongdong region. In general, the selected 4 events have similar synoptic setting such as the Siberian High extended to East Sea along with the Low passing by the southern Korean Peninsula, eventually inducing easterly in the Yeongdong region. Specifically moist-adiabatically neutral layer has been observed during the heavy snowfall period, which was easily identified using vertical profiles of equivalent potential temperature observed at Sokcho, whereas convective unstable layer has been formed over the East sea due to relatively warm sea surface temperature (SST) about $8{\sim}10^{\circ}C$ and lower temperature around 1~2 km above the surface, obtained from RDAPS. Difference of equivalent potential temperature between 850 hPa and surface as well as difference between air and sea temperatures altogether gradually increased before the snowfall period. Instability-induced moisture supply to the atmosphere from the East sea, being cooled and saturated by the upper cold surge, would make low-level ice cloud, and eventually move inland by the easterly flow. Heavy snowfall will be enhanced in association with low-level convergence by surface friction and upslope wind against Taebaek mountains. This study emphasizes the importance of low level stability in the Yeongdong region using the radiosonde sounding and RDAPS data, which should quantitatively be examined through numerical model as well as heat and moisture supply from the ocean.

• 설비공학논문집
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• 제8권3호
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• pp.437-450
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• 1996

A set of stability equations is formulated for natural convection flows adjacent to a vertical isothermal surface melting in cold pure water. It takes account of the nonparallelism of the base flows. The melting rate is regarded as a blowing velocity at the ice surface. The numerical solutions of the linear stability equations which constitute a two-point boundary value problem are accurately obtained for various values of the density extremum parameter $R=(T_m-T_{\infty})/(T_0-T_{\infty})$ in the range $0.3{\leq}R{\leq}0.6$, by using a computer code COLNEW. The blowing effects on the base flow becomes more significant as ambient temperature ($T_{\infty}$) increases to $T_{\infty}=10^{\circ}C$. The maximum decrease of heat transfer rate is about 6.4 percent. The stability results show that the melting at surface causes the critical Grashof number $G^*$ and the maximum frequency of disturbances to decrease. In comparision with the results for the conventional parallel flow model, the nonparallel flow model has a higher critical Grashof number but has lower amplification rates of disturbances than does the parallel flow model. The spatial amplification contours exhibit that the selective frequency $B_0$ of the nonparallel flow model is higher than that of the parallel flow model and that the effects of melting are rather small. The present study also indicates that the selective frequency $B_0$ can be easily predicted by the value of the frequency parameter $B^*$ at $G^*$, which comes from the neutral stability results of the nonparallel flow model.

• 한국해양학회지
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• 제27권3호
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• pp.250-258
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• 1992

남극 브렌스필드 해협의 표층 수괴 특성을 파악하기 위하여 수온, 염분 및 영양염 류와 더불어 결빙이나 해빙의 영향을 받지 않는 산소 동위원소비를 측정하였다. 염분, 수온, $\delta$/SUP 18/O은 각각 34.0~34.5$\textperthousand$, -0.5~2.1$^{\circ}C$, -0.50~ -0.26$\textperthousand$의 분포 범위 를 보이며, 이들의 지역적 분포는 대체로 해협의 북쪽에 저염, 고온의 해수가 남쪽에 고염, 저온의 해수가 존재한다. T-S diagram은 일정한 경향성이 분산된 결과를 보이는 데, 이는 증발, 강우, 결빙 및 해빙의 복합적인 원인에 의한 것으로 보이며, 염분과 $\delta$/SUP 18/O의 관계로 미루어 증발, 강우에 의한 영향보다는 결빙, 해빙에 의한 영향 이 큰 것으로 나타났다. 영양염의 분포는 해협의 북쪽에서 낮고, 남쪽으로 가면서 높 아지는 분포를 보인다. 해협의 북쪽에 고온, 저염 및 저영양염의 수괴가 분포하는 것 으로 보아 브랜스필드 해협의 북쪽에서 얼음 녹은 물이 해협으로 유입되는 것으로 판 단된다. 또한 N/P 비를 비교하여 보면 해협의 해수는 높은 N/P비(19.4)와 낮은 N/P비 (16.7), 2개의 N/P으로 나뉘어 지는데, 높은 N/P비는 해협의 북쪽에, 낮은 N/P비는 남 쪽에 분포한다. 얼음이 녹으면서 표층해수에서 의 질산염의 농도가 인산염의 농도보다 빨리 감소하며, peak ice 근처에서의 N/P비가 특히 높은 것으로 보고되어 이러한 N/P 비의 분포도 해협의 북쪽에서 유입되는 얼음 녹은 물의 증거가 될 수 있을 것으로 생 각된다. 엽록소 a 분포는 대체로 Weddell Sea쪽에서 남동쪽으로 가면서 증가하며, 영 양염 농도가 낮은 얼음 녹은 물의 유입이 얼룩소 a의 농도를 감소시키는 것으로 사료 된다.

• 한국해양공학회지
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• 제37권5호
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• pp.215-224
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• 2023

While melting glaciers due to global warming have facilitated the development of polar routes, Arctic vessels require reliable anti-icing methods to prevent hull icing. Currently, the existing anti-icing method, i.e., the heating coil method, has disadvantages, such as disconnection and power inefficiency. Therefore, a carbon nanotube-based surface heating element method was developed to address these limitations. In this study, the numerical analysis of the surface heating element method was performed using ANSYS. The numerical analysis included conjugate heat transfer and computational fluid dynamics to consider the conduction solids and the effects of wind speed and temperature in cold environments. The numerical analysis method of the surface heating element method was validated by comparing the experimental results of the heating coil method with the numerical analysis results (under the -30 ℃ conditions). The surface heating element method demonstrated significantly higher efficiency, ranging from 56.65-80.17%, depending on the conditions compared to the heating coil method. Moreover, even under extreme environmental conditions (-45 ℃), the surface heating element method satisfied anti-icing requirements. The surface heating element method is more efficient and economical than the heating coil method. However, proper heat flux calculation for environmental conditions is required to prevent excessive design.

• 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.

• 한국식생활문화학회지
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• 제16권2호
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• pp.109-117
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• 2001

Judging from the studies carried out by Dr. Jo, Yong Jin on the Koreans' faces, Koreans divided into two constitutions according to their facial features and heritages. The one population is the Northern lineage whose ancestor migrated from Siberia in ice age. In order to survive in cold climate, they have developed a high level of metabolic heat production. Cold adaptation for preventing heat loss results in a reduction in the facial surface area with small eyes, nose and lips. The other population is the Southern lineage who is the descent of native in Korean peninsular. They have big eyes with double edged eyelids, broad nose and thick lips. It is generally believed that both genetic and environmetal factors influence eating behaviors. Although we can't recognized their heritage that may contribute to the metabolism and eating behavior, we commonly recognize their physiological heritage acceding to their facial features. In order to investigate the relationship among the size and shape of facial feature, the eating behavior, anthropometric measurement in female college students, the eating behaviors was measured during an instant-noodle lunch eaten in a laboratory setting at the ambient temperature of $23^{\circ}C$. The anterior surface area of left eye and length of right eye were positively correlated with the difference between the peak postprandial and the meal-start core temperature. The surface area of lower lip also negatively correlated with the meal-start core temperature and meal duration. In addition, the total lips' area was positively correlated with the difference between the peak postprandial and the meal-start core temperature and negatively correlated with the meal duration. However anthropometric measurements were not related with the size of facial features.

• Ocean and Polar Research
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• 제28권3호
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• pp.245-258
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• 2006

We investigated seasonal variations of the upper ocean temperature and the mixed layer depth (MLD) in an eddy-permitting global ocean general circulation model (OGCM) to assess the OGCM perfermance. The OGCM is based on the GFDL MOM3 which has a horizontal resolution of 0.5 degree and 30 vertical levels. The OGCM was integrated for 68 years using a monthly-mean climatological wind stress forcing. The model sea surface temperature (SST) and sea surface salinity were restored to the Levitus climatology with a time scale of 30 days. Annual-mean model SST shows a cold bias $(<\;-2^{\circ}C)$ in the summer hemisphere and a warm bias $(>\;1^{\circ}C)$ in the winter hemisphere mainly due to the restoring boundary condition of temperature. The model MLD captures well the observed features in most areas, with a slightly deep bias. However, in the Ross Sea and Weddell Sea, the model shows significantly deeper MLD than the climatology-mainly due to weak salinity stratifications in the model. For amplitude of seasonal variation, the model SST is smaller $(1{\sim}3^{\circ}C)$ than the observation largely due to the restoring surface boundary condition while the model MLD has larger seasonal variation $({\sim}50m)$. It is suggested that for more realistic simulation of the upper ocean structure in the present eddy-permitting ocean model, more refinements in the surface boundary condition for the thermohaline forcing and parameterization for vertical mixing are required, together with the incorporation of a sea-ice model.

• 동력기계공학회지
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• 제11권3호
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• pp.22-28
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• 2007

Liquefied gas vaporizer is a machine to vaporize liquefied gas such as liquid nitrogen($LN_{2}$), liquefied natural gas(LNG), liquid oxygen($LO_{2}$) etc. For the air type vaporizer, the frozen dew is created by temperature drop (below 273 K) on vaporizer surface. The layer of ice make a contractions on vaporizer. The structure analysis on the heat transfer was studied to see the effect of geometric parameters of the vaporizer, which are length 1000 mm of various type vaporizer. Structure analysis result such as temperature variation, thermal stress and thermal strain have high efficiency of heat emission as increase of thermal conductivity. As the result, Frist, With-fin model shows high temperature distribution better than without-fin on the temperature analysis. Second, Without-fin model shows double contractions better then with-fin model under the super low temperature load on the thermal strain analysis. Third, Vaporizer fin can be apply not only heat exchange but also a stiffener of structure. Finally, we confirm that All model vaporizer can be stand for sudden load change because of compressive yield stress shows within 280 MPa on thermal stress analysis.