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국내 연안어선 설계 패러다임 전환을 위한 인공지능 활용 연구 KCI 등재

Research on AI driven paradigm shift in fishing vessel design

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  • URLhttps://db.koreascholar.com/Article/Detail/438130
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수산해양기술연구 (Journal of the Korean Society of Fisheries and Ocean Technology)
한국수산해양기술학회(구 한국어업기술학회) (The Korean Society of Fisheriers and Ocean Technology)
초록

In the case of Korean coastal fishing vessels primarily, it satisfies the fishing capacity and shifts in pace with trends. At the moment, speedy vessels with large load capacity and competitive hull forms are preferred since catch has decreased. However, in the design of Korean coastal fishing vessels, performance verification designers and related commercial programs are not utilized in various fields such as large vessels. Moreover, alleviated standards are applied, making securing and verifying the performance of fishermen’s preferred hull a must. To meet such demands, this research suggests a design system that the modules can be brought together as a fishing vessel model by AI; this would be a turnaround of coastal fishing vessel designing.

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서 론
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결과 및 고찰
    플랫폼 개발 결과
결 론
사 사
References
저자
  • 장유리(한국해양교통안전공단 연구원) | Yu-Ri JANG (Researcher, Korea Marine Transportation Safety Authority, Sejong 30100, Korea)
  • 권수연(한국해양교통안전공단 차석검사원) | Soo-Yeon K WON (Principal Survayor, Korea Marine Transportation Safety Authority, Sejong 30100, Korea) Corresponding author