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색공간 필터링 및 딥러닝 기반의 CNN 모델을 이용한 화염 감지에 관한 연구
류진규(Jin-Kyu Ryu),최승민(Seung-Min Choi),곽동걸(Dong-Kurl Kwak) 전력전자학회 2021 전력전자학술대회 논문집 Vol.2021 No.11
Technology development and social interest in fire prevention and safety are increasing, but currently installed fire detectors are steadily raising malfunction problems such as non-fire information through conventional sensors. This paper pre-processed an image using HSV color model and selective search, which is a candidate region proposal algorithm, and determined whether a flame occurred through a deep learning-based inference model to compensate for this problem. As a result, unnecessary background areas could be filtered in the input image, and the false detection rate could be reduced by effectively inferring the area where the flame exists.
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형태학적 연산과 주기성 측정 함수를 이용한 아날로그 게이지 인식 시스템 개발
류진규(Jin-kyu Ryu),곽영태(Young-Tae Kwak) 한국컴퓨터정보학회 2018 韓國컴퓨터情報學會論文誌 Vol.23 No.2
In this paper, we propose a new method to read the hand of analog gauges to prepare for the smart factory. In addition, we suggest a new and improved method that can apply, in general, diverse analog gauges even if their scale types and ranges are various. Many companies are making great efforts to build smart factories that increase energy efficiency and automation. Managers use a variety of equipment and tools to manage the production process at the factory. In this kind of factory, analog gauges have been often used with many equipment and tools. Analog gauges are mostly circular in shape, and most papers use circular hough transform to find the center and radius of a circle. However, when the object to be found is not of the correct circle type, it takes a long time to recognize the circle using the circular hough transform, and the center and radius of the circle can not be calculated accurately. The proposed method was tested on various circular analog gauges. As a result, we confirmed that our method is outstanding.
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전기화재 예방을 위한 전기아크 펄스 카운터 회로 설계에 관한 연구
최승민(Seung-Min Choi),곽동걸(Dong-Kurl Kwak),류진규(Jin-Kyu Ryu),김풍래(Pung-Rai Kim),최정규(Jung-Kyu Choi) 전력전자학회 2021 전력전자학술대회 논문집 Vol.2021 No.11
Most electric fires are caused by electric arcs. According to a survey conducted by NFPA in the United States, about 82% of electric fires are caused by electric arcs. Therefore, in the United States, the installation of arc breakers in houses has already become mandatory, resulting in a decrease of about 60% of housing electrification. Existing electrical safety devices used to prevent electrical accidents in Korea have a problem of reliability in detecting and blocking arcs. Therefore, this study intends to develop a reliable arc detector.
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