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나노위치제어를 이용한 연 X-선 결상현미경 시스템의 조명광학소자 정렬
김재희(Jea Hee Kim),김규겸(Kyu Gyeom Kim),민종환(Jong Hwan Min),김경우(Kyong Woo Kim),권영만(Young Man Kwon),민진영(Jin Young Min),윤권하(Kwon Ha Yoon) 대한기계학회 2005 대한기계학회 춘추학술대회 Vol.2005 No.5
This paper presents a method of alignment for condenser mirror of soft x-ray microscopy system based on nano-positioning control. The X-ray source was focused on a sample by a doubled ellipsoidal condenser reflective mirror. X-ray source focusing will increase the photon density in the object plane and is very important to approach high resolution imaging. Required degree of freedom (DOF) of optics aligner in X-ray microscope is dependent on the kind of optics, but generally 5-DOF is needed. We used 5-axis manipulator that consists of three linear motions (X, Y and Z) and two tilting motions (Rx, Ry). A linear translation stage is adopted a kind of DC motor with a linear resolution 50nm and travel range of 5mm. The mechanism was controlled with PID controller augmented with closed feedback loop for precision control. A two axis tilt stage is employed a design resolution of 0.23μrad and tilt range of ±7deg. We have designed 5-axis manipulator for alignment of condenser mirror and developed to control algorithm by inverse kinematics. The performance of the proposed 5-DOF manipulator is evaluated by using a laser interferometer system with two plane mirror reflectors. The experimental results are depicted in this paper.
효율적 DMU 선별을 통한 개선된 기술수준예측 방법: 주력전차 적용을 중심으로
김재오 ( Jea Oh Kim ),김재희 ( Jae Hee Kim ),김승권 ( Sheung Kown Kim ) 기술경영경제학회 2007 Journal of Technology Innovation Vol.15 No.2
This study extends the existing method of Technology Forecasting with Data Envelopment Analysis (TFDEA) by incorporating a ranking method into the model so that we can reduce the required number of DMUs (Decision Making Units). TFDEA estimates technological rate of change with the set of observations identified by DEA(Data Envelopment Analysis) model. It uses an excessive number of efficient DMUs(Decision Making Units), when the number of inputs and outputs is large compare to the number of observations. Hence, we investigated the possibility of incorporating CCCA(Constrained Canonical Correlation Analysis) into TFDEA so that the ranking of DMUs can be made. Using the ranks developed by CCCA(Constrained Canonical Correlation Analysis), we could limit the number of efficient DMUs that are to be used in the technology forecasting process. The proposed hybrid model could establish technology frontiers with the efficient DMUs for each generation of technology with the help of CCCA that uses the common weights. We applied our hybrid model to forecast the technological progress of main battle tank in order to demonstrate its forecasting capability with practical application. It was found that our hybrid model generated statistically more reliable forecasting results than both TFDEA and the regression model.
고해상도 위성영상을 위한 국소영역 공간해상도 향상 기법
강지윤,김인철,김재희,박종원,Kang, Ji-Yun,Kim, Ihn-Cheol,Kim, Jea-Hee,Park, Jong Won 대한전자공학회 2013 전자공학회논문지 Vol.50 No.6
The high resolution satellite images are used in many fields such as weather observation, remote sensing, military facilities monitoring, cultural properties protection etc. Although satellite images are obtained in same satellite imaging system, the satellite images are degraded depending on the condition of hardware(optical device, satellite operation altitude, image sensor, etc.). Due to the fact that changing the hardware of satellite imaging system is impossible for resolution enhancement of these degraded satellite after launching a satellite, therefore the method of resolution enhancement with satellite images is necessary. In this paper the resolution is enhances by using a Super Resolution(SR) algorithm. The SR algorithm is an algorithm to enhance the resolution of an image by uniting many low resolution images, so an output image has higher resolution than using other interpolation methods. But It is difficult to obtain many images of the same area. Therefore, to solve this problem, we applied SR after by applying the affine and projection transform. As a results, we found that the images applied SR after affine and projection transform have higher resolution than the images only applied SR. 고해상도 위성영상은 기상관측, 지형관측, 원격탐사, 군사시설감시, 문화재보호 등 많은 분야에서 이용된다. 위성영상은 동일한 위성영상 시스템에서 획득한 영상이라 할지라도 하드웨어(광학장치, 위성의 운용고도, 영상 센서 등)의 조건에 따라서 해상도가 저하된 영상들이 발생한다. 따라서 위성이 발사된 이후에는 이러한 해상도가 저하된 영상들의 해상도 향상을 위해서 영상시스템의 하드웨어를 변경하는 것은 불가능하므로 위성영상 자체를 이용하여 해상도를 향상시키는 방법이 필요하다. 본 논문에서는 이러한 저해상도 위성영상을 이용하여 해상도를 향상시키는 방법으로 SR(Super Resolution) 알고리즘을 사용하였다. SR 알고리즘은 다수의 저해상도 영상들의 정합을 통해 영상의 해상도를 향상시키는 알고리즘이다. 하지만 위성영상에서는 동일 지역에 대한 여러 장의 영상을 획득하기 어렵다. 따라서 본 논문에서는 이러한 문제점을 해결하기 위해 어파인 변환(Affine Transform)및 투영 변환(Projection Transform)을 적용 후 영상에 대한 기하학적 변화를 보정하여 SR 알고리즘을 수행하였다. 그 결과 SR 알고리즘만 적용한 영상보다 어파인 변환과 투영 변환을 거친 후 SR 알고리즘을 적용한 영상에서 해상도가 확실하게 더 증가되는 것을 확인하였다.