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전산지원도구를 이용한 도시철도시설 안전기준 DB구축 연구
이우동(Lee Woo Dong),신정렬(Shin Jeong Ryul),안태기(Ahn Tai Ki) 한국철도학회 2006 한국철도학회 학술발표대회논문집 Vol.- No.-
Urban rail transit offers target performance and function because various lower part system such as rolling-stock, signal, power and trackis consisted as complex. In order to function properly an urban rail transit which is complicated system to work as safety and reliability, System must secure safety with structure, design, manufacture, install and verification and it is important to establish a safety standard follows it procedures, establish what step all it is important to operate. Safety standard of urban transit infrastructure is minimum standard necessary to secure safety of signal, power and track. Urban rail transit standard business leads to make many requirements. Recently, many types of equipment have applied to manage requirements and standards for system efficiently in part of universal, airline and car accordingly applied equipments use to manage a pursuit(Trace) between standard of system. Especially importance of management is emphasized more become more. Importance of standard management which usesa computing support tool recently in transit filed is embossed and is predicted to be more such forward. Therefore we propose the effective method of management with infrastructure system by constructed data-base system.
안태기(Tae-Ki An),신정렬(Jeong-Ryul Shin),김문현(Moon-hyun Kim) 대한전기학회 2009 대한전기학회 학술대회 논문집 Vol.2009 No.10
In this paper, we propose an algorithm which can detect a proper object about given images to recognize situation through the temporal and spatial analysis under the complicated environment. To achieve this purpose, we deal with not the motion of an object but the energy flow about movement into the image, In the concrete, we define the new temporal and spatial motion vector to express energy flow. It can accomplish detection for a necessary object into the picture more correctly using characteristic vector. The proposed algorithm can solve some issues partially which existing algorithm can not find a solution, namely object recognition problem under the sophisticated situation and problem not to adapt properly to changing circumstances and it can also have a great result from the difficult part to apply to situation awareness model.