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RISS 인기검색어
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- 저자 : 임강모(Kangmo Lim) (검색결과 5 건)
- 무료
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임강모(KangMo Lim),이주신(JooShin Lee) 한국정보기술학회 2005 Proceedings of KIIT Conference Vol.2005 No.-
본 논문에서는 이동물체 실시간 추적을 위한 시간솎음 탐색 알고리즘을 제안하였다. 제안한 방법은 이동물체가 고속으로 움직일 경우에는 극히 짧은 시간 동안 이동 방향을 변경하기 어렵다는 가정 하에 이동물체의 이동 방향 초기화에 의해 이동 방향을 예측하고, 시간솎음 탐색 방향 마스크를 적용하여 프레임을 솎아냄으로써 이동물체 추적 처리 시간을 단축하는 방법으로써, 이동 방향 초기화는 영상 시퀀스의 연속된 프레임에서 검출된 이동물체의 이동 각도와 이동 거리를 구하여 수행하였고, 현재 프레임에서 이동물체의 이동 방향은 시간솎음 탐색 방향 마스크를 적용하여 구하였다. 이동물체의 이동 방향 예측은 이동물체의 이동 각도를 구하여 8 탐색 방향 중에서 시간솎음 탐색 방향 마스크를 결정하였고, 시간솎음 탐색 방향 마스크를 적용하여 프레임을 시간 솎음하고 이동물체의 이동 방향을 예측하여 이동물체를 추적하였다. 제안한 방법의 타당성을 입증하기 위하여 주행 중인 자동차를 대상으로 추적 실험을 수행한 결과, 제안한 방법은 전역탐색기법에 비해서 이동물체 변위 탐색 횟수가 평균 92% 감소하였고, 이동물체 추적 처리 시간은 평균 26.7㎳가 걸림으로서 실시간 처리가 가능함을 보였다. In this paper. decimation-in-time search algorithm for real-time tracking of moving object is proposed. A moving direction initialization of moving object is performed by obtaining moving angle and moving distance of moving objects which are detected at successive two frames of image sequence. The moving direction of the moving object at the current frame is obtained by applying the decimation-in-time search direction mask. A moving direction prediction of the moving object is performed by deciding the decimation-in-time search direction mask in the 8 search directions. The moving object tracking is performed by predicting the moving direction of the moving object as frames in the image sequence are decimated by applying the decimation-in-time search direction mask. To examine the propriety of the proposed algorithm, the moving object tracking is simulated for driving car. The results of the moving object tracking show that the number of displacement search times is reduced up to 92% on the average in the proposed algorithm, and the processing time of the tracking is 37.4ms on the average, and hence it is possible to perform real-time tracking of moving object.
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임강모(KangMo Lim),이주신(JooShin Lee) 한국정보기술학회 2005 한국정보기술학회논문지 Vol.3 No.2
In this paper, moving object detection based on background initialization algorithm is proposed. The proposed algorithm is that frames of sampled background image sequence are divided by block then the sum of graylevel value for each block pixel is calculated, respectively. The initialization of background image is performed by malting the maximum reference image and the minimum reference image which are recomposed by selecting only the maximum graylevel value and the minimum graylevel value in the sum of graylevel value of blocks located at the same position at each frame of the background image sequence. The current image frame is divided by block then the sum of graylevel value for each block pixel is calculated. Moving object detection is performed that if the calculated value is in the range of the graylevel value of two reference images, it is considered background, otherwise it is considered moving object. To examine the propriety of the proposed algorithm, the evaluated results for human in outdoor environments is that the error rate of the proposed method is less than the existing methods and the detection rate of the proposed method is better than the existing methods.
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임강모(KangMo Lim),이주신(JooShin Lee) 한국정보기술학회 2005 한국정보기술학회논문지 Vol.3 No.3
In this paper. real-time velocity measurement of moving object tracking for intelligent transport system is proposed. A moving direction initialization of moving object is performed by obtaining moving angle and moving distance of moving objects which are detected at successive two frames of image sequence. The moving direction of the moving object at the current frame is obtained by applying the decimation-in-time search direction mask. A moving direction prediction of the moving object is performed by deciding the decimation-in-time search direction mask in the 8 search directions. The velocity measurement of moving object is perform어 by predicting the moving direction of the moving object as frames in the image sequence are decimated by applying the decimation-in-time search direction mask. To examine the propriety of the proposed algorithm, velocity measurement for driving car is evaluated. The evaluated results show that velocity of the car is measured at every 3 frames or 4 frames, and the processing time of the velocity measurement is 26.7㎳ on the average. The comparison of results of the proposed algorithm and results of X-band speed gun and the line sampling method is that the error is less than 1%.
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전류 신호를 이용한 인버터 구동형 전동기의 고정밀 고장검출 제어
김남훈(Namhun Kim),임강모(Kangmo Lim),남상현(Sanghyun Nam) 한국정보기술학회 2007 Proceedings of KIIT Conference Vol.2007 No.-
본 논문에서는 오버 샘플링 방법을 사용해서 측정한 전류 신호를 이용하는 유도전동기 고장 검출 시스템에 대해서 제시한다. 인버터 구동형 전동기 드라이브는 전원 구동형(line-driven) 전동기 드라이브와는 다르게 고정자 전류에 많은 고조파 성분을 함유하고 있으며, 결과적으로 고정자 전류를 이용한 고장 진단이 명확하지 않다. 고장 진단을 위해서는 고정밀도(high resolution)를 가지는 전류 신호가 필요하며, 고정밀도의 전류 신호를 얻기 위해서는 LPF(Iow pass filter)나 고정밀 ADC(analog to digital converter)와 같은 추가적인 하드웨어가 필요하다. 그러므로 제안된 오버샘플링 방식은 추가적인 하드웨어가 필요하지 않으므로 인버터 구동형 전동기 드라이브 고장 진단 시스템에 가격 경쟁력을 줄 것으로 기대된다. 제안된 제어 알고리즘의 타당성을 검증하기 위해서, 베어링 고장에 대해서 다양한 실험이 수행되었고, 파크 벼환을 이용한 고장 상황의 전류 스펙트럼을 하였으며, FFT결과와 비교하였다. In this paper, the induction motor fault diagnosis system using current signals which are measured using over-sampling method is presented. In inverter-fed motor drives unlike line-driven motor drives the stator currents are reach in harmonics and therefore fault diagnosis using stator current is not trivial. The current signals for fault diagnosis need precise and high resolution information, which means the diagnosis system demands additional hardware such as low pass filter, high resolution ADC and etc. Therefore, the proposed over-sampling method is expected to contribute to low cost fault diagnosis system in inverter-fed motor drives without the need for any additional hardware. In order to confirm validity of the developed control algorithms, various experiments for bearing faults are tested and the line current spectrum of each faulty situation using Park transformation is compared with the results obtained from fast Fourier transforms.
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세탁기 제어용 Permanent Magnet Assisted Reluctance Synchronous Motor에 대한 연구
김남훈(Namhun Kim),임강모(Kangmo Lim),김희석(Hiseok Kim) 한국정보기술학회 2007 한국정보기술학회논문지 Vol.5 No.3
In this paper, design of PMA-RSM(permanent magnet assisted reluctance synchronous motor) for washing machine using FEM(finite element method) is presented and characteristics of electromagnetic torque is introduced. FEM has been approached to show the effects of motor parameters on the developed PMA-RSM for washing machine control. The designed motor is a combination of salient poles, which is making reluctance torque, and permanent magnet which are located on the air-gap of rotor to get a enough torque during low speed resign. And to verify availability of the proposed PMA-RSM, various simulation are done as compared with bldc motor which is used for washing machine.
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