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Minja Oh

Seoul National University

研究室紹介

Professor Minja Oh's research lab specializes in digital transformation and intelligent design in the ship and offshore engineering industries. The lab focuses on leveraging big data analytics, deep learning, and advanced geometric modeling to optimize ship design processes, particularly in hull form optimization and material requirement estimation. Key research directions include developing AI-driven tools for resistance prediction, automating offset generation from NURBS surfaces, and building scalable data platforms for efficient data utilization in shipyards.

ship designbig data analyticsdeep learninghull form optimizationNURBS offset generation

Research Overview

Papers
3
Total Citations
2
Papers (5y)
3
Primary Field

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
3total
2018
2019
Citations per year (5y)
2total
20182019

Selected Papers

3
1
Article|2 citations·2018
빅데이터 분석을 이용한 해양 구조물 배관 자재의 소요량 예측
오민재, 노명일, 박성우, 김성훈
대한조선학회 논문집

In the shipyard, a lot of data is generated, stored, and managed during design, construction, and operation phases to build ships and offshore structures. However, it is difficult to handle such big data efficiently using existing data-handling technologies. As the big data technology is developed, the ship and offshore industries start to focus on the existing big data to find valuable information from it. In this paper, the material requirement estimation method of offshore structure piping ma

2
Article|0 citations·2019
선박 내항성능 해석을 위한 선형 곡면으로부터의 오프셋 생성 프로그램 개발
오민재, 노명일, 김범수, 김용환

Traditionally, the initial ship design starts from a parent ship. The parent ship is given in the 2D lines form, i.e., the offsets. A designer modifies the offsets and gets the new hull shape that satisfies new design constraints. The offsets are used for the numerical analysis to evaluate whether the modified ship can meet the constraints. Generally, the mesh is generated for the analysis using the offsets. Sometimes, the initial ship is given in NURBS surface form instead of the offsets. In th

3
Article|0 citations·2019
딥러닝을 이용한 선형 설계 초기 단계에서의 저항 추정
조영인, 오민재, 석영수, 이성준, 노명일
https://doi.org/10.7315/CDE.2019.203

The initial ship design starts from a parent ship. A designer selects a suitable parent ship and modifies the hull shape for a new design. When a ship is modified, the hydrodynamic analysis such as numerical analysis, computational fluid dynamics analysis, model test, etc. is conducted, and the shape of the ship hull is changed according to the analysis results. This iteration continues until the owner’s, and Class requirements are met. During this process, it takes much time and high cost. In t

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