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윤재관(Jae-Kwan Yoon),박종헌(Jong-Hun Park),김기춘(Ki-Chun Kim) 한국철도학회 2011 한국철도학회 학술발표대회논문집 Vol.2011 No.10
5678SMRT has installed various sensor for operating conditions(field of electric facilities signal communication equipment and track) and environment of Every Function Room for remotely detecting and monitoring. Installed sound sensor for analyzed after remotely heard the noise of every equipment at Every Function Room and temperature sensor for check the temperature condition of Every Function Room. Additional installed voltage sensor in signal equipment room for monitoring RF track-circuit's voltage condition. Installed displacement sensor at The Chungdam bridge's railway for measuring and monitoring track displacement caused by temperature change and Pan/Tilt camera at sub-station and drainage for remotely field monitoring . Installed sensor for each equipment's operating condition and failure at Every Function Room then periodic check of workforce turned to around-the-clock surveillance by sensor therefore improvement of operating equipment. SMRT is lots of prevent a failure by Immediately detect of precondition of equipment failure by analyzed the sensor data. If the occurrence of an failure become detected Immediately so possibility correct diagnosis and order by remotely field check by installed camera and sound sensor at field.
장수영,윤현진,박노삼,윤재관,손영성,Jang, S.Y.,Yoon, H.J.,Park, N.S.,Yun, J.K.,Son, Y.S. 한국전자통신연구원 2019 전자통신동향분석 Vol.34 No.4
Recent trends in deep reinforcement learning (DRL) have revealed the considerable improvements to DRL algorithms in terms of performance, learning stability, and computational efficiency. DRL also enables the scenarios that it covers (e.g., partial observability; cooperation, competition, coexistence, and communications among multiple agents; multi-task; decentralized intelligence) to be vastly expanded. These features have cultivated multi-agent reinforcement learning research. DRL is also expanding its applications from robotics to natural language processing and computer vision into a wide array of fields such as finance, healthcare, chemistry, and even art. In this report, we briefly summarize various DRL techniques and research directions.
고정층 가스화 용융로에서의 고상폐기물 가스화 합성가스 생산 및 가스엔진 발전 연구
구재회(Gu, Jae-Hoi),김수현(Kim, Su-Hyun),유영돈(Yoo, Young-Don),윤용승(Yun, Yong-Seung),이협희(Lee, Hyup-Hee),남상익(Nam, Sang-Ik),윤재관(Yoon, Jae-Kwan) 한국신재생에너지학회 2007 한국신재생에너지학회 학술대회논문집 Vol.2007 No.06
The 3 ton/day-scale pilot plant consists of compressor, feed channel, fixed bed type gasification & melting furnace, quench scrubber, demister, flare stack and gas engine. Syngas composition of gasification using the 35.50(waste I), 4.34%(wasteII) moisture-containing solid waste showed waste I CO 25-35%, 20-40% hydrogen, waste II 25-35%, 20-30% hydrogen. Gasification melting furnace was operated 1,500{sim}1,600^{cdot}C. Gas engine was generated 35{sim}40 kW as waste gasification syngas.