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Yong-Jin Shin, Moon Chan Kim, Kyuong-Wan Lee, Woo Seok Jin and Jin Wook Kim
The maneuverability performance of a KCS with energy-saving devices was investigated. A bulb-type wavy rudder and an asymmetric pre-swirl stator were used as energy-saving devices because their use resulted in considerable efficiency gain. A validated si...
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Jin-Wook Kim, Moon-Chan Kim, Il-Ryong Park, Hanshin Seol, Min-Jea Kim and Woo-Seok Jin
Submarines with pumpjet propulsors have recently been used in many countries to improve their propulsion and noise performance. The pumpjet has the advantage of improving noise and cavitation performance by increasing the pressure inside the duct, and it...
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You-Jin Jeong, Suchit Kumar, Seon-Woo Park, Youngkyu Song, Jee-Hyun Cho, Chan Hong Moon and Chang-Hyun Oh
This study presents the feasibility of a dual-mode high-pass birdcage RF coil to acquire MR images at both 1H and 23Na frequencies at ultra-high-field MR scanner, 7 T. A dual-mode circuit (DMC) in the dual-mode birdcage (DMBC) RF coil operates at two fre...
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Kwang Hyeon Kim, Woo-Jin Choi and Moon-Jun Sohn
This study aimed to analyze feature importance by applying explainable artificial intelligence (XAI) to postural deformity parameters extracted from a computer vision-based posture analysis system (CVPAS). Overall, 140 participants were screened for CVPA...
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Kihwan Moon, Tae-Woo Lee, Young Jin Lee and Soon-Hong Kwon
We propose a plasmonic cavity using the cutoff frequency of a metal-insulator-metal (MIM) first-order waveguide mode, which has a deep subwavelength physical size of 240 × 210 × 10 (nm3) = 0.00013 ?03. The cutoff frequency is a unique property of the fir...
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Jin Woo Moon, Min Hee Chung, Hayub Song and Se-Young Lee
The aim of this study was to develop an artificial neural network (ANN) prediction model for controlling building heating systems. This model was used to calculate the ascent time of indoor temperature from the setback period (when a building was not occ...
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Jin Woo Moon, Kyung-Il Chin and Sooyoung Kim
This study proposes an artificial neural network (ANN)-based thermal control method for buildings with double skin envelopes that has rational relationships between the ANN model input and output. The relationship between the indoor air temperature and s...
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Jin Woo Moon, Jae D. Chang and Sooyoung Kim
This study examines the performance and adaptability of Artificial Neural Network (ANN)-based thermal control strategies for diverse thermal properties of building envelope conditions applied to residential buildings. The thermal performance using two no...
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