Jisang Ha, Myung-Il Roh, Ki-Su Kim, Min-Chul Kong, "Integrated Method for the Arrangement Design of a Ship for Implementing Digital Twin in Design", Proceedings of International Symposium on PRADS(Practical Design of Ships and Other Floating Structures) 2022, pp. 21, Dubrovnik, Croatia, 2022.10.09-13
Jisang Ha, Myung-Il Roh, Ki-Su Kim, Min-Chul Kong, "Integrated Method for the Arrangement Design of a Ship for Implementing Digital Twin in Design", Proceedings of PRADS 2022, Dubrovnik, Croatia, 2022.10.09-13
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| Abstract | The arrangement design of the ship mainly depends on the previous mothership data or the experience of experts because there are various restrictions of the owner and the classification regulations. Therefore, it is difficult to select the optimal design by examining various alternatives. Accordingly, a method that can review and optimize various arrangement designs before construction is required. Digital twin technology is one of the methods by which alternatives can be considered before production by creating digital replicas of real physical entities. This study propose a method for designing an optimal arrangement that satisfies the requirements of the ship-owner and several design rules and implements the result as a virtual twin. In the arrangement design process, locations of partitions dividing compartments and locations of each equipment are set as design variables. Furthermore, as objective functions, building cost, stability, and the feasibility for expert knowledge are considered. Also, the arrangement designed during the optimization process can be reviewed by the designer in advance as if the arrangement is actually manufactured through virtual twin. The effectiveness of the method proposed in this study is verified by applying it to selecting the optimal arrangement design for an actual ship. In particular, it has a differentiated advantage from the existing arrangement design optimization method in that the designer can visually review the design first. |
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| Publication Date | 2022-10-10 |
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Do-Hyeok Ahn, Myung-Il Roh, In-Chang Yeo, Do-Hyun Chun, "A Method for Automatic Control of the Block Lifting by an Offshore Floating Crane Based on Deep Reinforcement Learning", Proceedings of ISOPE 2025, Goyang, Korea, 2025.06.01-06
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Min-Chul Kong, Myung-Il Roh, In-Su Han, Mijin Kim, Jeoungyoun Kim, "A Method for Pipe Auto-routing Using Graph and Octree Structure", Proceedings of G-NAOE 2024, Southampton, UK, 2024.11.05-09
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Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, "A Method for the Automatic Generation of Hull Form Surfaces Based on MLP (Multi-Layer Perceptron) Considering Design Requirements", Proceedings of G-NAOE 2024, Southampton, UK, 2024.11.05-09
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In-Su Han, Myung-Il Roh, Min-Chul Kong, Jeongyoul Lee, Seoyoon Park, "A Search Method for Ship Regulations Considering Document Features", Proceedings of ICCAS 2024, Genoa, Italy, 2024.09.10-12
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Ha-Yun Kim, Myung-Il Roh, Jisang Ha, In-Chang Yeo, Nam-Sun Son, "A Learning-based Method for Tracking Maritime Obstacles in Real-time", Proceedings of ISOPE 2024, Rhodos, Greece, 2024.06.16-21
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In-Chang Yeo, Myung-Il Roh, Min-Chul Kong, Dongki Min, Dongguen Jeong, "An Automated Method for the Review of a Ship’s Safety Plan Based on Deep Learning", Proceedings of ISOPE 2024, Rhodos, Greece, 2024.06.16-21
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Jisang Ha, Myung-Il Roh, Min-Chul Kong, Mijin Kim, Jeoungyoun Kim, Nam-Kug Ku, "An Automated Method for Pipe Routing in Ship Unit Modules", Proceedings of IMDC 2024, Amsterdam, Netherland, 2024.06.02-06
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Min-Chul Kong, Myung-Il Roh, In-Chang Yeo, In-Su Han, Dongki Min, Dongguen Jeong, "Methods for Graph Conversion and Pattern Recognition for P&IDs", Proceedings of IMDC 2024, Amsterdam, Netherland, 2024.06.02-06
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Yeong-min Jo, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Do-Hyun Chun, Min-chul Kong, "An Improved Method for the Sensor Fusion for Autonomous Ships", Proceedings of 10th PAAMES and AMEC 2023, Kyoto, Japan, 2023.10.18-20
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In-Chang Yeo, Myung-Il Roh, Hye-Won Lee, Donghun Yu, "A Method for Automatic Berthing of a Ship Using LIDAR", Proceedings of 10th PAAMES and AMEC 2023, Kyoto, Japan, 2023.10.18-20
