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김수동(Sudong Kim),김영원(Young Won Kim),유정열(Jung Yul Yoo) 대한기계학회 2010 大韓機械學會論文集B Vol.34 No.7
본 연구에서는 직경이 수백 ㎚로부터 수 ㎛에 이르는 균일한 크기의 액적을 생성하는 마이크로 플루이딕 플랫폼이 설계되었다. 미세한 액적을 생성하기 위하여 T-정션과 유동집속 장치가 마이크로픞 푸이딕 채널로 통합되었다. 상대적으로 큰 수성 액적들이 상류의 T-정션에서 생성되어 유동집속 장치로 이송되는데, 여기에서 각각의 액적은 압력과 점성응력의 작용에 의하여 목표로 하는 크기로 잘게 쪼개진다. 이러한 구성은 내부 유체의 매우 느린 유량과 유동집속 영역에서 내부 및 외부 유체 사이의 높은 유량비를 가능하게 한다. 본 마이크로플루이딕 장치는 약 1㎛ 크기의 직경을 가지는 액적들을 3%보다 작은 표준 편차로 생성할 수 있음이 제시되었다. In the present study, we designed a microfluidic platform for generating monodisperse droplets with diameters ranging from hundreds of nanometers to several micrometers. To generate fine droplets, T-junction and flow-focusing geometry are integrated into the microfluidic channel. Relatively large aqueous droplets are generated at the upstream T-junction and transported to the flow-focusing geometry, where each droplet is broken into smaller droplets of the desired size by the action of pressure and viscous stress. In this configuration, the flow rate of the inner fluid can be made very low, and the ratio of the inner- and outer-fluid flow rates in the flow-focusing region can be made very high. It has been shown that the present microfluidic device can generate droplets with diameters of approximately 1 ㎛ (standard deviation: <3%).
김수동(Kim Sudong),안재우(Ahn Jaewoo),서영호(Seo Young Ho),김동욱(Kim Dong Wook),유지상(Yoo Jisang) 한국방송·미디어공학회 2010 한국방송공학회 학술발표대회 논문집 Vol.2010 No.7
본 논문에서는 영역 분할과 영상의 움직임 정보를 이용한 깊이맵 생성에 관한 기법을 제안하였다. 2D/3D 변환 알고리즘에서 2차원 영상에서 얻은 깊이 정보는 2차원 영상을 3차원 영상으로 변환 가능하게 하는 핵심 기술이 된다. 영역을 분할하고 계산되어진 움직임 값 (intensity)을 분할된 각 영역에 부여함으로서 깊이맵을 얻을 수 있다. 본 논문에서는 초기 단계에서 영역을 분할한 뒤, 입력 영상을 그룹화 하여 양방향 탐색을 통한 움직임 추정 연산을 수행토록 하여 보다 정확한 깊이 정보를 획득하고, 최종적으로 얻은 결과에 각 화소에 해당 되는 확률적 통계에 의한 후처리 기법을 사용하였다. 보다 정확한 깊이정보를 영역별로 지정하고, 후처리 기법을 사용함에 따라 보다 신뢰도 높은 깊이맵 영상을 생성할 수 있었다.
김수동(Kim Sudong) 길림성민족사무위원회 2011 중국조선어문 Vol.171 No.-
본 론문은 방향을 나타내는 복합동사, 후항동사 가운데서 상하관계를 나타내는 타동사 “-上げる/~올리다” “-下げる/~내리다”를 중심으로 후항동사의 의미를 분석하였다. 상하관계를 나타내는 후항동사가 물리적방향을 나타내는 경우와 사회적방향을 나타내는 경우에 일본어와 조선어의 대응양상이 다르게 나타나고 이를 후항으로 하는 복합동사에 지향적은유가 반영됨을 알수 있다.
Depth layer partition을 이용한 2D 동영상의 3D 변환 기법
김수동(Sudong Kim),유지상(Jisang Yoo) 한국방송·미디어공학회 2011 방송공학회논문지 Vol.16 No.1
In this paper, we propose a 3D conversion algorithm of 2D video using depth layer partition method. In the proposed algorithm, we first set frame groups using cut detection algorithm. Each divided frame groups will reduce the possibility of error propagation in the process of motion estimation. Depth image generation is the core technique in 2D/3D conversion algorithm. Therefore, we use two depth map generation algorithms. In the first, segmentation and motion information are used, and in the other, edge directional histogram is used. After applying depth layer partition algorithm which separates objects(foreground) and the background from the original image, the extracted two depth maps are properly merged. Through experiments, we verify that the proposed algorithm generates reliable depth map and good conversion results.
김수동(Sudong Kim),김영원(Young Won Kim),유정열(Jung Yul Yoo) 대한기계학회 2008 대한기계학회 춘추학술대회 Vol.2008 No.11
In the present study, we designed a microfluidic flatform that generates monodisperse droplets with diameters ranging from hundreds of nanometers to several micrometers. To generate fine droplets, T-junction and flow-focusing geometry are integrated into the microfluidic channel. Relatively large aqueous droplets are generated at the upstream T-junction and transported toward the flow-focusing geometry, where each droplet is broken up into the targeted size by the action of viscous stresses. Because the droplet prior to rupture blocks the straight channel that leads to the flow-focusing geometry, it moves very slowly by the pressure difference applied between the advancing and receding regions of the moving droplet. This configuration enables very low flow rate of inner fluid and higher flow rate ratio between inner and outer fluids at the flow-focusing region. It is shown that the present microfluidic device can generate droplets with diameters about 1 micrometer size and standard deviation less than 3%.
Self-organized 3D Vessel Formation Spatially Guided By Surface Micropattern
Yekyung Cho(조예경),Sudong Kim(김수동),Ju Hun Yeon(연주헌),Noo Li Jeon(전누리) 대한기계학회 2011 대한기계학회 춘추학술대회 Vol.2011 No.10
Blood vessel formation is an essential event for various researches like cancer metastasis and wound healing. Although it has been developed the method of blood vessel formation in vitro with microbead or microfluidic structure, those were not easy to observe the effect of drugs on blood vessels with highthroughput screening. And a formation of vessel networks which are an important characteristic of blood vessels could not be generated or regulated using those methods. From these reasons, it is needed to develop a novel platform which is possible to design various geometry and network for high-throughput drug screening on blood vessels. In this study, we developed a novel high-throughput assay for generating blood vessel networks three-dimensionally using hydro gel on the 2D patterned endothelial cells. Through this method, the size and number of blood vessel can be regulated and the high-throughput drug screening on blood vessels can be performed against a lot of drug candidates.
스테레오 카메라를 이용한 이동객체의 실시간 추적과 거리 측정 시스템
이동석(Dongseok Lee),이동욱(Dongwook Lee),김수동(Sudong Kim),김태준(Taejune Kim),유지상(Jisang Yoo) 한국방송·미디어공학회 2009 방송공학회논문지 Vol.14 No.3
In this paper, we implement the real-time system which extracts 3-dimensional coordinates from right and left images captured by a stereo camera and provides users with reality through a virtual space operated by the 3-dimensional coordinates. In general, all pixels in correspondence region are compared for the disparity estimation. However, for a real time process, the central coordinates of the correspondence region are only used in the proposed algorithm. In the implemented system, 3D coordinates are obtained by using the depth information derived from the estimated disparity and we set user's hand as a region of interest(ROI). After user's hand is detected as the ROI, the system keeps tracking a hand's movement and generates a virtual space that is controled by the hand. Experimental results show that the implemented system could estimate the disparity in real-time and gave the mean-error less than 0.68cm within a range of distance, 1.5m. Also It had more than 90% accuracy in the hand recognition.