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Abstract Manually converting the information of objects existing in the ship safety plan into digital data requires significant effort and time. To overcome this problem, a technique is required for automatically extracting the location and information of the object in the plan. However, owing to the characteristics of the ship safety plan, there are frequent cases in which the detection target overlaps with noise (figure, text, etc.), which lowers
the detection accuracy. In this study, an object detection model based on a convolutional neural network is proposed to extract the number and location of objects effectively in a ship safety plan while incorporating noise. Among various deep learning models, suitable models for object detection in ship safety plans were compared and analyzed. In addition, an algorithm to generate the data necessary for training the object detection model was proposed. Subsequently, a specialized detection algorithm to rapidly process a large ship safety plan was proposed. The method proposed in this study was applied to 15 ship safety plans. Consequently, an average recall of 0.85 was achieved, confirming the effectiveness of the proposed method.
Publication Date 2022-02-15
Role Corresponding Author
Category SCI
Impact Factor 3.795

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, Vol. 246, pp. 110587.1-15, 2022.02.15

https://doi.org/10.1016/j.oceaneng.2022.110587


  1. No Image 07Jan
    by SyDLab
    in 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

  2. No Image 10Dec
    by
    in 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

  3. No Image 12Aug
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  4. No Image 07Aug
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    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

  5. No Image 06Jun
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    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

  6. No Image 22May
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  7. No Image 18May
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  8. No Image 15Apr
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    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

  9. No Image 16Mar
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    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

  10. No Image 22Jan
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    Seung-Min Lee, Jong-Hyeok Lee, Myung-Il Roh, Ki-Su Kim, Seung-Ho Ham, Hye-Won Lee, "An Optimization Model of Tugboat Operation for Conveying a Large Surface Vessel", Journal of Computational Design and Engineering, Vol. 8, No. 2, 2021.04.01

  11. No Image 18Jan
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    Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Underactuated Crane Control for the Automation of Block Erection in Shipbuilding", Automation in Construction, Vol. 124, pp. 1-28, 2021.04.01

  12. No Image 09Dec
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    Hye-Won Lee, Joo-Hyun Woo, Myung-Il Roh, Seung-Ho Ham, et al., "Integrated Simulation of Virtual Prototypes and Control Algorithms of Unmanned Surface Vehicles Based on a Robot Operating System", Journal of Marine Science and Technology (Taiwan)

  13. No Image 26Oct
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    Jisang Ha, Myung-Il Roh, Seung-Ho Ham, Sung-Jun Lee, “Optimum Design of the Underwater Discharge System Based on Surrogate Modeling”, Journal of Marine Science and Technology (Taiwan), Vol. 29, No. 3, pp. 338-353, 2021.06.01

  14. No Image 14Oct
    by
    in International Journal

    Ki-Su Kim, June-Beom Lee, Myung-Il Roh, Ki-Min Han, Gap-Heon Lee, "Prediction of Ocean Weather Based on Denoising AutoEncoder and Convolutional LSTM", Journal of Marine Science and Engineering, Vol. 8, No. 10, pp. 805:1-24, 2020.10.14

  15. No Image 10Oct
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    Ki-Su Kim, Myung-Il Roh, “ISO 15016:2015-based Method for Estimating the Fuel Oil Consumption of a Ship”, Journal of Marine Science and Engineering, Vol. 8, No. 10, pp. 791:1-18, 2020.10.12

  16. No Image 09Oct
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    Sung-Jun Lee, Myung-Il Roh, Min-Jae Oh, "Image-based Ship Detection Using Deep Learning", Ocean Systems Engineering, Vol. 10, No. 4, pp. 415-434, 2020.12.01

  17. No Image 28Sep
    by
    in International Journal

    Ki-Su Kim, Myung-Il Roh, "Dynamic Flooding Analysis Method for Intermediate Flooding Process of a Ship", Ocean Engineering, Vol. 218, pp. 108173.1-33, 2020.12.15

  18. No Image 09Aug
    by
    in International Journal

    Seung-Ho Ham, Myung-Il Roh, “Time-domain Structural Analysis During Block Turnover and Lifting Using 2D Flexible Multibody Dynamics”, Marine Structures, Vol. 75, pp. 102841.1-26, 2021.01.01

  19. No Image 07Aug
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    Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Block Erection Simulation Considering Frictional Contact with Wire Ropes", Ocean Engineering, Vol. 217, pp. 1-24, 2020.12.01

  20. No Image 14May
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    in International Journal

    Do-Hyun Chun, Myung-Il Roh, Seung-Ho Ham, “Optimum Arrangement Design of Mastic Ropes for Membrane-type LNG Tanks Considering the Flatness of Thermal Insulation Panel and Production Cost”, Journal of Marine Science and Engineering, Vol. 8, No. 5

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