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위성민,안응남 성균관대학교 2000 스포츠과학논집 Vol.5 No.-
The purpose of this study was to analyze the effect of a exercise type on bone mineral density(BMD) and isokinetic strength of Lumber spine and proximal Femur. Also, revealed the Pearson correlation between BMD and isokinetic strength and calculated regression were employed and results are as follows; 1. There were significantly correlation between BMD and femur and peak torque of left, right extension musle(p<0.05), and peak torque of right extension muscle showed 39.9% predictor of BMD in femur for middle-aged women. 2. There were significantly correlation between BMD of lumber and peak torque of left extension muscle(p<0.05) , and peak torque of right extension muscle showed 34.1% predictor of BMD in lumber for middle-aged women. 3. There were significantly correlation between BMD of femur and peak torque of left extension muscle in mountain climbing group(p<0.05) and peak torque of left extension femur showed 51.6% predictor of BMD in femur. 4. There were significantly correlation between BMD of lumber and peak torque of left extension and right flexion musle(p<0.03, and peak torque of right flexion musle showed 45.3% predictor of BMD in lumber. BMD and musle strength is decreased with aging but regular exercise activity will prevent and promote the BMD and muscle strength. Specially, weight-bearing exercise, such as mountain climbing and jogging, are more effective for maintain a BMD and muscle strength of body. In conclusion, mountain climbing was more effective than swimming in respect of BMD and muscle strength. therefore, it is recommended that mountain climbing was a more protective role for BMD of lumber. femur and maintain a isokinetic strength of lower body.
가변형 패럴랙스배리어를 이용한 무안경 디스플레이 시스템
위성민,이승현,Wi, Sung-Min,Lee, Seung-Hyun 한국광학회 2008 한국광학회지 Vol.19 No.2
An advantage of parallax barrier displays is that they can also display 2D and 3D contents and can be automatically switched between the two types. But, as the viewer changes position, different views of the scene will be directed by the barrier to the visual system. Moving horizontally beyond a certain point will produce "image flipping" of the different views of the scene. These limitations make unavoidable the use of another autostereoscopic display solutions like eye tracking or increasing the number of views. In this paper, a method of the moving parallax barrier design is introduced to supplement a disadvantage of the fixed parallax barrier that provides observation at specific locations. For making the moving parallax barrier, the cross connector with 640 lines FPC is designed. A commercially available web camera is utilized to implement eye-tracking system and shows the experimental result. 패럴랙스배리어의 장점은 2D와 3D 콘텐츠를 자동적으로 스위칭 하여 디스플레이 할 수 있다는 것이다. 그러나 관찰자가 움직일 경우 배리어를 통과하는 영상이 바뀌게 되며, 수평으로 어느 범위 이상을 움직이게 되면 영상이 역전되어 다른 영상을 보게 된다. 이러한 제한점을 해결하고자 시점추적이나 시점을 증가시키는 것과 같은 무안경 스테레오 디스플레이가 소개되고 있다. 본 논문에서는 일정한 위치에서만 관찰할 수 있는 고정식 패럴랙스배리어의 단점을 보완할 수 있는 가변형 패럴랙스배리어 방식을 제안하였으며, 가변형 배리어의 제작을 위하여 640 라인 FPC로 구성된 새로운 교차커넥터를 설계하였다. 또한, 일반적으로 사용되는 웹 카메라를 이용하여 시점추적시스템을 구현하였고 실험 결과를 보였다.
View Point Tracking for Parallax Barrier Display Using a Low Cost 3D Imager
위성민,김동욱,Wi, Sung-Min,Kim, Dong-Wook Korea Computer Institute Society 2008 컴퓨터産業敎育學會論文誌 Vol.9 No.3
We present an eye tracking system using a low cost 3D CMOS imager for 3D displays that ensures a correct auto stereoscopic view of position- dependent stereoscopic 3D images. The tracker is capable of segmenting the foreground objects (viewer) from background objects using their relative distance from the camera. The tracker is a novel 3D CMOS Image Sensor based on Time of Flight (TOF) principle using innovating photon gating techniques. The basic feature incorporates real time depth imaging by capturing the shape of a light-pulse front as it is reflected from a three dimensional object. The basic architecture and main building blocks of a real time depth CMOS pixel are described. For this application, we use a stereoscopic type of display using parallax barrier elements that is described as well.
임베디드 시스템 기반 실시간 물체 검출을 위한 YOLOv3 최적화
위성민(Seong Min Wi),최경택(Kyoungtaek Choi),정호기(Ho Gi Jung),서재규(Jae Kyu Suhr),김도윤(Doyoon Kim) 한국자동차공학회 2021 한국자동차공학회 부문종합 학술대회 Vol.2021 No.6
A local dynamic map(LDM) is one of the key components for autonomous driving. Surveillance cameras are frequently used to detect moving objects and transfer this information to the LDM. To this work, it is mandatory to run an object detection algorithm in a real-time embedded system. This paper introduces a way to optimize a deep neural network(DNN)-based object detector in terms of computational cost, memory space, and inference time. This paper uses two techniques for optimization. One is network slimming that can prune less important filters from the network. The other is a quantization-aware training that can change weights of the network from float32 to int8. With the help of these two techniques, a well-known object detector, YOLOv3, has been optimized and run in real-time using the DSP of Qualcomm QCS605.