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Abstract Fuel oil consumption (FOC) must be minimized to determine the economic route of a ship; hence, the ship power must be predicted prior to route planning. For this purpose, a numerical method using test results of a model has been widely used. However, predicting ship power using this method is challenging owing to the uncertainty of the model test. An onboard test should be conducted to solve this problem; however, it requires considerable resources and time. Therefore, in this study, a deep feed-forward neural network (DFN) is used to predict ship power using deep learning methods that involve data pattern recognition. To use data in the DFN, the input data and a label (output of prediction) should be configured. In this study, the input data are configured using ocean environmental data (wave height, wave period, wave direction, wind speed, wind direction, and sea surface temperature) and the ship’s operational data (draft, speed, and heading). The ship power is selected as the label. In addition, various treatments have been used to improve the prediction accuracy. First, ocean environmental data related to wind and waves are preprocessed using values relative to the ship’s velocity. Second, the structure of the DFN is changed based on the characteristics of the input data. Third, the prediction accuracy is analyzed using a combination comprising five hyperparameters (number of hidden layers, number of hidden nodes, learning rate, dropout, and gradient optimizer). Finally, k-means clustering is performed to analyze the effect of the sea state and ship operational status by categorizing it into several models. The performances of various prediction models are compared and analyzed using the DFN in this study.
Publication Date 2021-08-12
Role Corresponding Author
Category SCIE
Impact Factor 2.473

June-Beom Lee, Myung-Il Roh, Ki-Su Kim, “Prediction of Ship Power Based on Variation in Deep Feed-forward Neural Network”, International Journal of Naval Architecture and Ocean Engineering, Vol. 13, pp. 641-649, 2021.08.12

https://doi.org/10.1016/j.ijnaoe.2021.08.001


List of Articles
번호 분류 제목 Publication Date
181 International Journal Donghun Yu, Myung-Il Roh, “ Method for Anti-collision Path Planning Using Velocity Obstacle and A* Algorithms for a Maritime Autonomous Surface Ship”, International Journal of Naval Architecture and Ocean Engineering, Vol. 16, 2024.02.02 file 2024-02-02
180 International Journal Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Donghun Yu, "Method for Collision Avoidance Based on Deep Reinforcement Learning with Path-Speed Control for an Autonomous Ship", IJNAOE, Vol. 16, pp. 100579.1-19, 2023.12.22 file 2023-12-22
179 International Journal Do-Hyun Chun, Myung-Il Roh, In-Chang Yeo, Hye-Won Lee, “Proposed Method for Design Optimization of LNG Tanks Based on the Arrangement of Thermal Insulation Panels”, Ocean Engineering, Vol. 288, Part 2, pp. 116063.1-14, 2023.11.15 file 2023-11-15
178 Domestic Journal 천휘경, 박찬혁, 지석호, 노명일, Connie Susilawati, “다중 카메라 네트워크 가상의 관심선을 활용한 건물 내 재실자 인원 계수 방법론 개발”, 대한토목학회 논문집, Vol. 43, No. 5, pp. 667-674, 2023.10.01 2023-10-01
177 International Journal Jisang Ha, Myung-Il Roh, Ki-Su Kim, Jin-Hyeok Kim, "Method for Pipe Routing Using the Expert System and the Heuristic Pathfinding Algorithm in Shipbuilding", International Journal of Naval Architecture and Ocean Engineering, 2023.05.26 file 2023-05-26
176 International Journal In-Chang Yeo, Myung-Il Roh, Do-Hyun Chun, Seok Ho Jang, Jae Won Heo, "Optimal Arrangement Design of Pipeline Support by Considering Safety and Production Cost", International Journal of Naval Architecture and Ocean Engineering, 2023.05.10 file 2023-05-10
175 International Journal Hye-Won Lee, Myung-Il Roh, Yeong-Min Cho, Jeong-Ho Park, "Data Association for Autonomous Ships Based on the Virtual Simulation Environment", Ocean Engineering, Vol. 281, pp. 114646.1-17, 2023.08.01 file 2023-08-01
174 International Journal Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Ho-Gyun Park, Jong-Oh Kim, "Variable Indexing Method in Rule Documents for Ship Design Using Extraction of PDF Elements", Journal of Computational Design and Engineering, Vol. 9, No. 6, 2022.11.16 file 2022-11-16
173 International Journal Jin-Hyeok Kim, Myung-Il Roh et al., "Prediction of the Superiority of the Hydrodynamic Performance of Hull Forms Using Deep Learning", International Journal of Naval Architecture and Ocean Engineering, Vol. 49, pp. 100490.1-15, pp. 2022.11.01 file 2022-11-01
172 International Journal Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, "Automation of Crane Control for Block Lifting Based on Deep Reinforcement Learning", Journal of Computational Design and Engineering, Vol. 9, No. 4, pp. 1430- 1448, 2022.07.23 file 2022-07-23
171 International Journal Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Jeongyoul Lee, Jongoh Kim, Gapheon Lee, "Object Detection Method for Ship Safety Plans Using Deep Learning", Ocean Engineering, 2022.02.15 file 2022-02-15
170 International Journal Ki-Su Kim, Myung-Il Roh, Seung-Min Lee, "Quasi-static Flooding Analysis Method of a Damaged Ship Considering Oil Spill and Cargo Load", Journal of Ship Production and Design, 2022.02.10 file 2022-02-10
169 International Journal Won-Jae Lee, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Yeong-Min Cho, Nam-Sun Son, “Detection and Tracking for the Awareness of Surroundings of a Ship Based on Deep Learning”, Journal of Computational Design and Engineering, Vo. 8, No. 5 file 2021-10-01
» International Journal June-Beom Lee, Myung-Il Roh, Ki-Su Kim, “Prediction of Ship Power Based on Variation in Deep Feed-forward Neural Network”, International Journal of Naval Architecture and Ocean Engineering, 2021.08.07 file 2021-08-12
167 International Journal Hye-Won Lee, Myung-Il Roh, Ki-Su Kim, “Ship Route Planning in Arctic Ocean Based on POLARIS”, Ocean Engineering, Vol. 234, pp. 109297.1-14, 2021.08.15 file 2021-08-15
166 International Journal Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Donghun Yu, “Deep Reinforcement Learning-based Collision Avoidance for an Autonomous Ship”, Ocean Engineering, Vol. 234, pp. 1-20, 2021.08.15 file 2021-08-15
165 International Journal Beom-Soo Kim, Min-Jae Oh, Jae-Hoon Lee, Yonghwan Kim, Myung-Il Roh, "Study on Hull Optimization Process Considering Operational Efficiency in Waves", Processes, Vol. 9, No. 5, pp. 898.1-21, 2021.05.19 file 2021-05-19
164 International Journal Min-Jae Oh, Myung-Il Roh, Sung-Woo Park, Do-Hyun Chun, Myeong-Jo Son, Jeong-Youl Lee, “Operational Analysis of Container Ships by Using Maritime Big Data”, Journal of Marine Science and Engineering, Vol. 9, No. 4, pp. 438: 1-21, 2021.04.18 file 2021-04-18
163 Domestic Journal 남권우, 노명일, 이혜원, 이원재, "자율 운항 선박을 위한 딥 러닝 기반 선박 이미지 분류 방법", 한국CDE학회 논문집, Vol. 26, No. 2, pp. 144-153, 2021.06.01 file 2021-06-01
162 International Journal Jisang Ha, Myung-Il Roh, Hye-Won Lee, “Quantitative Calculation Method of the Collision Risk for Collision Avoidance in Ship Navigation Using the CPA and Ship Domain”, Journal of Computational Design and Engineering, Vol. 8, No. 3, 2021.06.01 file 2021-06-01
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