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Research Papers
Reinforcement Learning based on Deep Deterministic Policy Gradient for Roll Control of Underwater Vehicle
Su Yong Kim, Yeon Geol Hwang, Sung Woong Moon
J. KIMS Technol. 2021;24(5):558-568.   Published online October 5, 2021
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Performance Analysis on Depth and Straight Motion Control based on Control Surface Combinations for Supercavitating Underwater Vehicle
Beomyeol Yu, Hyemin Mo, Seungkeun Kim, Jong-Hyon Hwang, Jeong-Hoon Park, Yun-Ho Jeon
J. KIMS Technol. 2021;24(4):435-448.   Published online August 5, 2021
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Numerical Analysis of the Supercavitating Underwater Vehicle According to Different Shapes and Depth Conditions Using a VP-BEM Method
Dae-Gyu Hwang, Byoung-Kwon Ahn, Jeong-Hoon Park, Yun-Ho Jeon, Jong-Hyon Hwang
J. KIMS Technol. 2021;24(2):237-244.   Published online April 5, 2021
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A Study on the Experimental Trend Analysis of Underwater Noise Factors in Compressed Water System of the Linear Pump Type
Jong-ju Yi, Kang-su Ahn, Jong-mu Sur
J. KIMS Technol. 2021;24(2):228-236.   Published online April 5, 2021
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Roll control of Underwater Vehicle based Reinforcement Learning using Advantage Actor-Critic
Byungjun Lee
J. KIMS Technol. 2021;24(1):123-132.   Published online February 5, 2021
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Motion Analysis of an Underwater Vehicle Running near Wave Surface
Hyeon Kyu Yoon, Seong Phil Ann, Chulmin Jung, Chan-Ki Kim
J. KIMS Technol. 2016;19(3):395-403.
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A Study for Effective Methodology of the Search Pattern of AUV
Junghaeng Hur, Jungin Moon, Bongwan Choi, Hyunseung Oh, Dongsoon Yim
J. KIMS Technol. 2014;17(6):751-763.
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A Study on Unmaned Underwater Vehicle Operational Performance Analysis for Mine Search Operation
A-Rom Hwang, Moon-Hwan Kim, Sim-Yong Lee, Jae-Moon Yoon, Chan-Ki Kim
J. KIMS Technol. 2011;14(5):781-787.
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The Functional Extension of the Underwater Vehicle Modeling and Simulation Tactics Manager using the Script Embedding Method
Myeong-Jo Son, Tae-Wan Kim, Young-In Nah
J. KIMS Technol. 2009;12(5):590-600.
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