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2차원 배열 자기저항소자를 이용한 공간 맥진파형의 전산모사 분석
김미선(M. S. Kim),김선욱(S. W. Kim),김기왕(G. W. Kim),이수진(S. J. Lee),이선구(S. G. Lee),이현숙(H. S. Lee),박달호(D. H. Park),황도근(D. G. Hwang),이상석(S. S. Lee) 한국자기학회 2005 韓國磁氣學會誌 Vol.15 No.6
To get the spatial feature of arterial pulse, we designed spatial pulse diagnostic apparatus (SPDA) using a 2-dimensional magnetoresistive sensor array. The magnetic field distribution for magnet array was simulated using finite element method. We recognized that the field distribution of parallel magnet arrays was more sensitive and uniformed than that of perpendicular one. Also the spatial displacements of magnet array were agreed with the output signal of magnetic tunnel junction (MTJ) sensor array.
서로 다른 두 개의 공동모델에서 상수값 의존성에 대한 압축성 영향분석
김미선(M.S. Kim),하콩투(C.T. Ha),박원규(W.G. Park) 한국전산유체공학회 2012 한국전산유체공학회 학술대회논문집 Vol.2012 No.11
Numerical study on multiphase flows was performed to analyze the compressibility effects to the cavitation model dependency of model constants. The computation was performed within converging-diverging nozzle. Compressibility and incompressibility flows were compared in the present study to consider the compressibility effects in the two phase mixture. Two different cavitation models of Merkle et al. and Kunz et al. were used to simulate the evaporation and condensation processes. The governing equation was adapted the fully unsteady compressible preconditioned Reynolds-Averaged Navier-Stokes equations. The results indicate that the addition of compressibility effects on multi-phase flows could reduce the cavitation model’s dependency of model constants to get more significant physical accuracy, and Merkles cavitation model has higher numerical accuracy rather than Kunz’s cavitation model in compressible and incompressible systems.
전신마비 및 중증 재활환자들을 위한 안구인식 마우스의 안구추적 알고리즘
서민교(M. G. Seo),정현두(H. D. Jeong),민정화(J. H. Min),문동준(D. J. Moon),김미선(M. S. Kim),최흥호(H. H. Choi) 한국재활복지공학회 2011 한국재활복지공학회 학술대회논문집 Vol.2011 No.11
In this study, and severely paralyzed patients with limited mobility rehabilitation for patients with eye tracking algorithm to recognize the mouse"s eye is proposed. OpenCV (Open Source Computer Vision - Inter created in the Image Processing Library) and the Starburst Algorithm used to track the movement of the pupil is proposed. After extracting the eye area to area, using the Starburst algorithm to obtain the position of the pupil to control the mouse in the eye of the conventional ocular image matching and face recognition method and characterized by a pattern of how to detect than the S / W It is easy to develop.