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Title:
SYSTEM AND METHOD FOR ESTIMATING SHIP PERFORMANCE COEFFICIENT BY USING CONVOLUTIONAL NEURAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2024/005351
Kind Code:
A1
Abstract:
The present invention relates to an apparatus and a method for estimating various kinds of performance coefficients indicating the performance of a ship. According to the present invention, in order to solve the problems of statistics-based ship performance estimation methods of a conventional technique in which conventional methods using the main specifications of a ship as an input so as to estimate performance are limited in that it is difficult to reflect minute changes in shape since performance is predicted only with variables representing mostly ship type, provided are a system and a method for estimating a ship performance coefficient by using a convolutional neural network (CNN), the system and the method: converting offset data indicating shape information (offset cross-section information) about a ship into image data by using deep learning and CNN technologies; matching a main specification variable, a speed variable, and bulb shape information about the ship with the image data, thereby performing training by applying a two-dimensional or three-dimensional CNN to the matching result; and adding dropout and L2 regularization in order to prevent overfitting as necessary, and thus desired performance variables can be output using, as inputs, offset data, the main specification variable, a bow bulb variable, and the speed variable of an arbitrary ship type.

Inventors:
KIM YOO CHUL (KR)
KIM MYOUNG SOO (KR)
HWANG SEUNG HYUN (KR)
YEON SEONG MO (KR)
LEE YOUNG YEON (KR)
KIM KWANG SOO (KR)
Application Number:
PCT/KR2023/006210
Publication Date:
January 04, 2024
Filing Date:
May 08, 2023
Export Citation:
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Assignee:
KOREA INST OCEAN SCI & TECH (KR)
International Classes:
B63B71/10; G06F30/27; G06N3/08
Foreign References:
KR20210048705A2021-05-04
KR20200101031A2020-08-27
JP2020104699A2020-07-09
JP2020158072A2020-10-01
US20150149135A12015-05-28
Attorney, Agent or Firm:
KIM, Jung Su (KR)
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