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Chunhyun Paik, Yongjoo Chung and Young Jin Kim
The estimation of power curve is the central task for efficient operation and prediction of wind power generation. It is often the case, however, that the actual data exhibit a great deal of variations in power output with respect to wind speed, and thus...
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Gu-Hyeon Kim, Seunghyun Hwang, Soon-Hyun Lee, Jun-Hee Lee, Jun Hwangbo, Kwang-Soo Kim and Kwang-Jun Paik
Accurate resistance performance evaluation is essential to predict the minimum propulsion horsepower required for ships in real sea. Therefore, in this paper, the added resistance performance of K-Supramax in various wave conditions was calculated using ...
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Jun-Hee Lee, Kwang-Jun Paik, Soon-Hyun Lee, Jun Hwangbo and Tae-Hyu Ha
Recently, the demand for floating solar power farms in lakes and coasts (rather than on land) has been increasing rapidly. It is important to develop a numerical analysis technique that considers environmental conditions to predict structural stability a...
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Bu-Geun Paik, So-Won Jeong, Young-Ha Park, Jong-Woo Ahn, Ilryong Park and Jein Kim
One of the important things in a ship?s rudder design is the incidence angle of the rudder inflow to improve rudder cavitation performance. In the present study, the rudder inflow is measured by a 3-D LDV (laser Doppler velocimetry) system in a large cav...
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Min-Ho Lee, Sunyeong Park, Yinzhu Xu, Jung-Eun Kim, Hengmin Han, Jae-Hyeon Lee, Jean Kyung Paik and Hyo-Jeong Lee
Pinus koraiensis is a valuable plant source of functional health foods and medicinal materials. Hypertriglyceridemia affects about 15?20% of adults and is related to stroke, metabolic syndromes, cardiovascular diseases, and diabetes mellitus. Dietary fru...
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Jinho Park, Heegwang Kim and Joonki Paik
In this paper, we present a coarse-to-fine convolutional neural network (CF-CNN) for learning multilabel classes. The basis of the proposed CF-CNN is a disjoint grouping method that first creates a class group with hierarchical association, and then assi...
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Dohun Kim, Heegwang Kim, Yeongheon Mok and Joonki Paik
In spite of excellent performance of deep learning-based computer vision algorithms, they are not suitable for real-time surveillance to detect abnormal behavior because of very high computational complexity. In this paper, we propose a real-time surveil...
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Hong-Sik Hwang, Kwang-Jun Paik, Soon-Hyun Lee and Gisu Song
Underwater radiated noise (URN) is greatly increasing due to an increase in commercial shipping, sonar activities, and climate change. As a result, marine life is having difficulty communicating, and marine ecosystem disturbances are occurring. The noise...
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Jungsup Shin, Heegwang Kim, Dohun Kim and Joonki Paik
Object tracking has long been an active research topic in image processing and computer vision fields with various application areas. For practical applications, the object tracking technique should be not only accurate but also fast in a real-time strea...
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Jong Min Oh, Moongi Ji, Mi-Jin Lee, Geum Seok Jeong, Man-Jeong Paik, Hoon Kim and Joo-Won Suh
The antidepressant-like activity of ethanol extract of Ziziphus jujuba Mill var. spinosa seeds (Semen Ziziphi Spinosae, SZS) was investigated by behavioral tests, such as a forced swimming test (FST), a tail-suspension test (TST), and an open field test ...
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