• 한국어류학회지
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• 제22권2호
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• pp.105-114
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• 2010

본 연구는 2008년부터 2009년 사이에 우리나라 전 연안에서 채집된 보리멸과 2종(청보리멸, 점보리멸) 및 박물관에서 보관중인 보리멸과 3종(점보리멸, 별보리멸, 보리멸)을 대상으로 분류학적 재검토를 실시하였다. 청보리멸은 점보 리멸 및 보리멸과 측선비늘수(청보리멸 70~73 vs. 점보리멸 77~81 vs. 보리멸 67~70)와 측선상부비늘수(3~4 vs. 7 vs. 5~6)에서 잘 구분되었다. 별보리멸은 나머지 3종과 달리 체측에 뚜렷한 짙은 갈색의 무늬를 여러 개 가지고 있었다. 한국산 및 일본산 점보리멸이 계측부위(문장, 가슴지느 러미길이, 뒷지느러미 두번째 극조길이) 및 척추골수에서 차이를 보여 두 집단이 다를 수 있다는 것을 보여주었다. 비록 한국에는 보리멸과 어류에 4종이 알려져 있으나, 본 연구에서는 청보리멸 및 점보리멸 2종만 확인되어, 나머지 2종(보리멸, 별보리멸)의 분포는 아열대해역에 국한될 가능 성이 있다.

• 대기
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• 제32권1호
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• pp.27-37
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• 2022

The Korean Integrated Model (KIM) forecast system was extended to assimilate Horizontal Line-Of-Sight (HLOS) wind observations from the Atmospheric Laser Doppler Instrument (ALADIN) on board the Atmospheric Dynamic Mission (ADM)-Aeolus satellite. Quality control procedures were developed to assess the HLOS wind data quality, and observation operators added to the KIM three-dimensional variational data assimilation system to support the new observed variables. In a global cycling experiment, assimilation of ALADIN observations led to reductions in average root-mean-square error of 2.1% and 1.3% for the zonal and meridional wind analyses when compared against European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecast System (IFS) analyses. Even though the observable variable is wind, the assimilation of ALADIN observation had an overall positive impact on the analyses of other variables, such as temperature and specific humidity. As a result, the KIM 72-hour wind forecast fields were improved in the Southern Hemisphere poleward of 30 degrees.

• Nuclear Engineering and Technology
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• 제54권7호
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• pp.2702-2713
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• 2022

A steam generator tube rupture accompanying a core damage may cause the fission product to be released to environment bypassing the containment. In such an accident, the steam generator is the major path of the radioactive aerosol release. AEOLUS facility, the scaled-down model of Korean type steam generator, was built to examine the aerosol removal in the steam generator during the steam generator tube rupture accident. Integral and separate effect tests were performed with the facility for the dry and flooded conditions, and the decontamination factors were presented for different tube configurations and submergences. The dry test results were compared with the existing test results and with the analyses to investigate the aerosol retention physics by the tube bundle, with respect to the particle size and the bundle geometry. In the flooded tests, the effect of submergence were shown and the retention in the jet injection region were presented with respect to the Stokes number. The test results are planned to be used to constitute the aerosol retention model, specifically applicable for the analysis of the steam generator tube rupture accident in Korean nuclear power plants to evaluate realistic fission product behavior.

• 대한원격탐사학회지
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• 제37권6_1호
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• pp.1631-1645
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• 2021

세계 최초 능동형 라이더 센서 Atmospheric Laser Doppler Instrument (ALADIN)의 바람 자료와 한국형 수치예보모델에 바람 자료로 활용되고 있는 Geostationary Korea Multi Purpose Satellite 2A (GK2A)의 대기운동벡터의 자료를 비교함으로써 두 위성의 바람 자료의 특징을 분석하였다. 2019년 9월부터 20220년 8월 1년의 자료를 ALADIN의 미(Mie)채널과 GK2A 적외채널에 대하여 비교한 결과 수집된 자료는 177,681개이며 평균 제곱근 오차(Root Mean Square Error; RMSE)는 3.73 m/s, 상관계수는 0.98이다. 상세한 분석을 위해 위도와 고도를 고려하여 비교한 결과, 대부분의 위도에서 표준화된 평균 제곱근 오차(Normalized Root Mean Squared Error; NRMSE)가 0.2~0.3으로 두 바람 자료가 일치하지만 상층, 중층의 경우 저위도지역에서, 하층의 경우 남반구 특정 위도(30°S-15°S)에서 0.4 이상으로 큰 값을 가진다. 이러한 결과는 계절에 상관없이 수증기채널, 가시채널에서도 동일하게 나타나며 채널 별 특징과 계절별 특징은 두드러지게 나타나지 않는다. 두 바람 자료 간에 차이가 큰 위도 영역에 대하여 구름의 분포를 확인해본 결과, 대기운동벡터의 고도 할당 정확도를 낮출 수 있는 권운 이나 적운이 다른 위도에 비해 더 많이 분포하고 있다. 이러한 특성에 따라, 정확한 고도 할당이 어려워 대기운동벡터의 오차가 크게 나타나는 남반구와 저위도 영역에서 ALADIN 바람 자료는 기존 대기운동벡터의 바람 정보를 보완함으로써 수치예보모델에 긍정적인 영향을 미칠 수 있음을 제시한다.

• 제어로봇시스템학회논문지
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• 제20권2호
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• pp.186-192
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• 2014

Recently wind energy penetration into power systems has increased. Wind power, as a renewable energy source, plays a different role in the power system compared to conventional power generation units. As long as only single and small wind power units are installed in the power system, wind power does not influence power system operation and can easily be integrated. However, when wind power penetration reaches a significantly high level and conventional power production units are substituted, the impact of wind power on the power system becomes noticeable and must be handled. The connection of large wind turbines and wind farms to the grid has a large impact on grid stability. The electrical power system becomes more vulnerable to and dependent on wind energy production, and therefore there is an increased concern about the large wind turbines impact on grid stability. In this work, a new type of fuzzy logic controller for the frequency control of wind farms is proposed and its performance is verified using SimWindFarm toolbox which was developed as part of the Aeolus FP7 project.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.237-240
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• 2005

Calibration and Validation are major element of any space borne Earth Observation Mission. These activities are the major objective of the commissioning phases but routine activities shall be maintained during the whole mission in order to maintain the quality of the product delivered to the users or at least to fully characterise the evolution with time of the product quality. With the launch of ERS-l in 1991, the European Space Agency decided to put in place a group dedicated to these activities, along with the daily monitoring of the product quality for anomaly detection and algorithm evolution. These four elements are all strongly linked together. Today this group is fully responsible for the monitoring of two ESA missions, ERS-2 and Envisat, for a total of 12 instruments of various types, preparing itself for the Earth Explorer series of five. other satellites (Cryosat, Goce, SMOS, ADM-Aeolus, Swarm) and at various levels in past and future Third Party Missions such as Landsat, J-ERS, ALOS and KOMPSAT. The Joint proposal by the European Union and the European Space Agency for a 'Global Monitoring for Environment and Security' project (GMES), triggers a review of the scope of these activities in a much wider framework than the handling of single missions with specific tools, methods and activities. Because of the global objective of this proposal, it is necessary to put in place Multi-Mission Calibration and Validation systems and procedures. GMES Calibration and Validation activities will rely on multi source data access, interoperability, long-term data preservation, and definition standards to facilitate the above objectives. The scope of this presentation is to give an overview of the current Calibration and Validation activities at ESA, and the planned evolution in the context of GMES.