http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
안태기(Tae-ki Ahn),박기준(Kee-jun Park) 대한전기학회 2006 대한전기학회 학술대회 논문집 Vol.2006 No.7
EMU, Electric Multiple Unit, is very complicated system that consists of thousand parts. If breakdown happens, work that clears cause in most cases work that clears cause in most cases is very complicated and difficult. Also it needs much times and experts of several parts. Maintenance is depending on know-how of the operator and breakdown that happen before happens often repeatedly because information management and public ownership are not achieved properly about analysis and action result. In this paper we present the case-based expert system for EMU which is able to share this know- how knowledge that data-based systemically with another operator.
안태기(Tae-Ki Ahn),이수길(Su-Gil Lee),한성호(Seong-Ho Han),이관섭(Kwan-Sub Lee) 한국철도학회 2000 철도저널 Vol.3 No.3
The automatic/driverless operation which are great important techniques in metro railway are required to increase higher safety, greater reliability, and transport capacity. To satisfy such demands, we must have the system design and testing technique for the railway system operation. These techniques are related to the onboard train control and communication systems which include TCMS(Train Control and Monitoring System), ATO(Automatic Train Operation), ATC(Automatic Train Control), and TWC(Train to Wayside Communication). These sub-systems must be interfacing with not only each others but also the signal system on the ground. We tested the train control system on Test line that has been developed on the basis of the standardized type EMU for korea railway systems. This test line which is located in Sangju, have been constructed for testing 7 & 8 line of Seoul Metro railway.
혼합분류기 기반 영상내 움직이는 객체의 혼잡도 인식에 관한 연구
안태기(Tae-ki An),안성제(Seong-je Ahn),박광영(Kwang-young Park),박구만(Goo-man Park) 한국통신학회 2012 韓國通信學會論文誌 Vol.37 No.2A
혼합분류기를 이용한 패턴인식은 약한 분류기를 결합하여 강한 분류기를 구성하는 형태이다. 본 논문에서는 고정된 카메라를 통해 입력된 영상을 이용하여 특징을 추출하고 이것들을 이용한 약한 분류기의 결합으로 강한 분류기를 만들어 낸다. 제안하는 시스템 구성은 차영상 기법을 이용해서 이진화된 전경 영상을 얻고 모폴로지 침식연산 수행으로 얻어진 혼잡도 가중치 영상을 이용해 특징을 추출하게 된다. 추출된 특징을 조합하고 혼잡도를 판단하기 위한 모델의 훈련 및 인식을 위한 혼합분류기 알고리즘으로 부스팅 방법을 사용하였다. 혼합 분류기는 약한 분류기의 조합으로 하나의 강한 분류기를 만들어 내는 분류기로서 그림자나 반사 등이 일어나는 환경에서도 잠재적인 특징들을 잘 활용할 수 있다. 제안하는 시스템의 성능실험은 “AVSS 2007“의 도로환경의 차량 영상과 철도환경내의 승강장 영상을 사용하였다. 조명변화가 심한 야외환경과 승강장과 같은 복잡한 환경에서도 시스템의 우수한 성능을 보여주었다. Pattern recognition using ensemble classifiers is composed of strong classifier which consists of many weak classifiers. In this paper, we used feature extraction to organize strong classifier using static camera sequence. The strong classifier is made of weak classifiers which considers environmental factors. So the strong classifier overcomes environmental effect. Proposed method uses binary foreground image by frame difference method and the boosting is used to train crowdedness model and recognize crowdedness using features. Combination of weak classifiers makes strong ensemble classifier. The classifier could make use of potential features from the environment such as shadow and reflection. We tested the proposed system with road sequence and subway platform sequence which are included in “AVSS 2007” sequence. The result shows good accuracy and efficiency on complex environment.
안태기(Ahn Tae-Ki),이호용(Lee Ho-Yong),박기준(Park Ki-Jun),김길동(Kim Gil-Dong) 한국철도학회 2004 한국철도학회 학술발표대회논문집 Vol.- No.-
EMU, Electrical Multiple Unit, stores various information in the computer system installed on the vehicle when train is running. The stored information has to be moved into a computer installed on the ground. The information is used to all kinds of planning concerned EMU, and taken advantage of maintenance with information importantly. IC memory card is used to move the information from vehicle to the ground at present. But this method has many weaknesses from hours and manpower aspect because it spends much time shifting data. So this paper proposes a method to move data as quickly and correctly as possible. We propose the method to collect the information using wireless LAN automatically in this paper. And we carried out data-transfer-test on the real field using wireless LAN to confirm possibility of this method. This paper shows the result of the data-transfer-test.
도시철도 차량 유지보수를 위한 자재시스템 정보화에 대한 연구
안태기(Tae-Ki Ahn) 대한전기학회 2006 대한전기학회 학술대회 논문집 Vol.2006 No.10
To supply the materials the right time, and the right place, it is required some information maintenance system to manage this procedure effectively. In this paper, we represent the standard products classification for EMU and the materials maintenance information system to manage the parts used EMU maintenance efficiently. The standard material classification is matched to G2B code made by the Supply Administration. The implemented material information system can perform various functions such as the inquiry of the number of stocks, the demand of the materials, and etc.
확장된 Generic BOM을 이용한 도시철도차량 BOM 구성
안태기(Tae-Ki Ahn),박기준(Kee-Jun Park),정종덕(Jong-Duk Chung) 한국철도학회 2005 한국철도학회논문집 Vol.8 No.6
This paper proposes the EGBOM, Extended Generic BOM, which is more flexible BOM system than GBOM. The GBOM system has the limitation to construct Result BOM and to select options by choosing only one Variant under given Cluster. In order to overcome this limitation, we propose the EGBOM which can make more various Result BOM by selecting several Variants under given Cluster. Also, this paper describes UT-EGBOM, Urban Transit-EGBOM, which can use to rolling stock through constructing urban transit BOM using the proposed EGBOM. The last, this paper describes the various Result BOM examples constructed from Source BOM of UT-EGBOM, such as rolling-stock maintenance BOM, individual car BOM, etc.