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윤활유 오염과 디젤엔진의 크랭크핀 이상마모에 대한 원인 규명
서정우(Jeongwoo Seo),박동희(Donghee Park) 한국마린엔지니어링학회 2014 한국마린엔지니어링학회지 Vol.38 No.7
In the circumstance that high oil price state is continued over the world, the investment in crude oil development by oil major is a trend of increasing. Recently the number of delivered drill-ship for 5 years has been sharply increased all over the world and about twice than that of past 30 years. As addition to the increase of the drill-ship demand, the operation of drill-ships which is delivered recently is about 3,000 meters, ultra deep sea, on average and the work area is expending. Accordingly the drilling system including the size and length of pipe for drilling has been bigger and bigger and the power supply equipment for operation system also has large capacity. Unlike merchant vessel, high power and high voltage of diesel generators are required for drill-ship for which the demand for V-type 320 bore of diesel generator has increased. It is on the raised that the importance of lubrication oil cleaning for diesel generator on drill-ship which has longer time for construction, and also long term low load operation is unavoidable during commissioning of equipments. Recently it was reported that engine crankpin was damaged due to the hard contact caused by the abnormal wear down(Cam wear) on crankpin and bearing. The same pattern of wear down was found through the inspection on series vessels and the other vessel under commissioning. The purpose of this paper is to analyze of the wear mechanism based on the observation and theories and objective research from actual cases and to prepare the counter measures to avoid foreseeable damage when the lubricating oil is not properly cleaned.
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딥러닝 기반 YOLO v3를 이용한 민물 어종 인식 서비스
송현석(Song Hyeonseok),김신동(Kim Shindong),서정우(Seo Jeongwoo),류덕산(Ryu Duksan),유철중(Yoo Cheol-Jung) 한국정보기술학회 2021 Proceedings of KIIT Conference Vol.2021 No.6
국내 낚시 시장이 지속적으로 성장하면서 낚시가 국민의 중요한 여가 활동으로 자리매김해 가는 반면 낚시인들의 민물 어종에 대한 판별이 쉽지 않아 물고기를 잡은 후 어떤 종류의 물고기 인지 낚시를 오래한 낚시꾼 뿐 만 아니라 모든 낚시꾼의 어종 판별이 쉽지 않다. 그러므로 이러한 낚시꾼들의 애로사항을 파악하여 민물어종에 한해 민물 어종 인식 시스템 개발을 계획하였다 본 연구는 이러한 애로사항을 해결하고자 YOLO v3를 통해 민물어종의 이미지를 학습하여 민물어종을 인식하는 모바일 환경의 서비스를 제공하여 낚시꾼들의 보다 정확한 민물어종 인식에 도움을 주고자 한다. While fishing has become an important leisure activity for the people as the domestic fishing market continues to grow, it is not easy for fishermen to identify what kind of fish they are after catching fish, not just those who have been fishing for a long time. Therefore, we planned to develop a freshwater fish recognition system for freshwater fish species by identifying the difficulties of these fishermen. To address these difficulties, this study aims to provide a service in a mobile environment that recognizes freshwater fish species by learning images of freshwater fish species through YOLO v3.
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