http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Pre-trained Model for brain tumor prediction
Kyoungsu Oh,Seok-hwan Kang,Suehyun Lee,Hyekyung Woo,Youngho Lee 한국차세대컴퓨팅학회 2023 한국차세대컴퓨팅학회 학술대회 Vol.2023 No.12
Medical images constitute a substantial portion of all medical data, but various issues arise, including noise and judgment-related problems. Therefore, recent research has actively explored deep learning applications, such as noise removal and disease classification based on medical images. In particular, brain tumors are typically diagnosed using MRI, and early detection is crucial. In this study, the classification of MRI images for brain tumor patients was conducted by improving MRI noise and utilizing a pre-trained CNN model.
오경수(Kyoungsu Oh),기현우(Hyunwoo Ki) 한국정보과학회 2007 정보과학회논문지 : 시스템 및 이론 Vol.34 No.5·6
역변위 매핑은 기하정보를 증가시키지 않고, 모델에 상세함을 더하는데 사용된다. 우리는 부드럽고 정확한 굴곡을 표현할 수 있는 GPU 기반의 실시간 역변위 매핑 기법을 제안한다. 이를 위하여, 렌더될 각 픽셀에서 광선을 만들고 이를 전진시켜 나가며 변위 맵과의 교차점을 찾는다. 광선 추적을 안전하고 효율적으로 수행하기 위하여, 변위 맵을 쿼드트리 형태의 이미지 피라미드로 만들고, 이 트리를 하향식으로 탐색하며 전진해 나간다. 나아가, 변위 맵이 화면에서 확대되었을 때 선형 보간을, 그리고 화면에서 멀어져 작게 보일때는 때는 밉맵 필터링을 통해 화질을 향상시키고 렌더링을 가속화한다. 실험을 통해, 기존의 GPU 기반의 기법들과는 달리 날카로운 변위 맵에 대해 예각에서도 깨끗한 이미지를 생성하는 것을 확인하였다. 초당 수 백 프레임의 빠른 속도로 렌더링할 수 있었으며, 변위 맵의 해상도가 커져도 렌더링 속도의 저하가 적었다. 우리의 기법은 구현이 간단하고 수행속도가 빠르기 때문에 현존하는 게임이나 가상 현실 시스템 등에 쉽게 적용할 수 있다. Inverse displacement mapping enables us to add realistic details to polygonal meshes without changing geometry. We present a real-time artifacts-free inverse displacement mapping method. In each pixel, we construct a ray and trace the ray through the displacement map to find an intersection. To skip empty regions safely, we traverse the image pyramid of displacement map in top-down order. Furthermore, when the displacement map is enlarged, intersection with bilinear interpolated displacement map can be found. When the displacement map is at distance, our method supports mipmap-like prefiltering to enhance image quality and speed. Experimental results show that our method can produce correct images even at grazing view angles. Rendering speed of a test scene is over hundreds of frames per second and the influence of resolution of displacement map to rendering speed is little. Our method is simple enough to be added to existing virtual reality systems easily.
Difficulty Balancing and Review Management System for Smart Mobile Learning
Youngjae Chun,Kiho Youm,Kyoungsu Oh 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.1
In this paper, we introduce an efficient learning management system for mobile learning. The system consists of dynamic difficulty adjustment and review management. Difficulty balancing and review at appropriate time enhance learning performance. Learner's learning ability and difficulty of learning are quantified by rating system used in computer game. The ratings are adjusted dynamically every learning for difficulty balancing. Review periods based on forgetting curve is useful to memorize something. Proposed system makes learners sustain memory for a long time by providing personalized review management. In addition, learners can share their own learning progress with friends through social network services. This activity can increase motivation on learning. The proposed system can be exploited for any types of learnings by customizing learning style.
Real-Time Motion Blur Using Triangular Motion Paths
Hong, MinhPhuoc,Oh, Kyoungsu Korea Information Processing Society 2017 Journal of information processing systems Vol.13 No.4
This paper introduces a new algorithm that renders motion blur using triangular motion paths. A triangle occupies a set of pixels when moving from a position in the start of a frame to another position in the end of a frame. This is a motion path of a moving triangle. For a given pixel, we use a motion path of each moving triangle to find a range of time that this moving triangle is visible to the camera. Then, we sort visible time ranges in the depth-time dimensions and use bitwise operations to solve the occlusion problem. Thereafter, we compute an average color of each moving triangle based on its visible time range. Finally, we accumulate an average color of each moving triangle in the front-to-back order to produce the final pixel color. Thus, our algorithm performs shading after the visibility test and renders motion blur in real time.
Motion-Blurred Shadows Utilizing a Depth-Time Ranges Shadow Map
Hong, MinhPhuoc,Oh, Kyoungsu Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.4
In this paper, we propose a novel algorithm for rendering motion-blurred shadows utilizing a depth-time ranges shadow map. First, we render a scene from a light source to generate a shadow map. For each pixel in the shadow map, we store a list of depth-time ranges. Each range has two points defining a period where a particular geometry was visible to the light source and two distances from the light. Next, we render the scene from the camera to perform shadow tests. With the depths and times of each range, we can easily sample the shadow map at a particular receiver and time. Our algorithm runs entirely on GPUs and solves various problems encountered by previous approaches.
오승희(Seunghee Oh),김경수(Kyoungsu Kim) 대한경영학회 2017 대한경영학회 학술발표대회 발표논문집 Vol.2017 No.1
본 연구에서는 상사의 배려행동에 대한 유용성을 검증하기 위하여 부하가 가지는 능력과 도덕성에 따른 상사의 배려행동, 상사의 배려행동에 따른 부하의 성과, 부하의 능력과 도덕성 그리고 부하성과간의 관계에서 상사의 배려행동에 대한 매개효과를 검증하였다. 공무원조직, 교육기관, 사기업에 근무하는 665명의 자료를 분석한 결과 본 연구에서 예측한 바와 같이 부하의 능력과 도덕성은 부하성과에 긍정적인 영향을 미치는 것으로 나타났으며, 부하의 능력과 도덕성에 따라 상사가 배려행동을 보이는 것으로 나타났다. 또한 상사의 배려행동은 부하의 능력과 부하성과간의 관계를 매개하지 못하는 것으로 나타났지만, 부하의 도덕성과 부하성과간의 관계를 매개하는 것으로 나타났다. 이러한 연구결과는 상사의 배려행동이 부하에게 항상 유용하게 작용하지 않는다는 것을 의미한다. 즉 능력이 뛰어난 부하에 대해 상사의 배려행동은 유용하지 못한 반면, 도덕성이 뛰어난 부하에게 있어 상사의 배려행동은 매우 유용한 것을 의미한다. 결론부분에서는 본 연구의 결과가 가지는 의미를 이론적인 차원과 실무적인 차원에서 논의가 이루어졌으며, 본 연구가 가지는 한계점과 이를 극복할 수 있는 방안에 대한 논의가 이루어졌다. This study investigated the relationship between subordinate ability and subordinate performance, subordinate morality and subordinate performance, a supervisor’s consideration behavior and subordinate performance, and a moderating effect of a supervisor’s consideration behavior in order to test the usefulness of a supervisor’s consideration behavior. Data from 665 employees in different organizations such as public administration, educational institution, and private firms showed that (1) a subordinate’s ability and morality positively affected subordinate performance, (2) a subordinate’s ability and morality positively affected a supervisor’s consideration behavior. In addition a supervisor’s consideration behavior moderated the relationship between a subordinate’s morality and subordinate performance, whereas a supervisor’s consideration behavior did not moderate the relationship between a subordinate ability and subordinate performance. These results indicate a supervisor’s consideration behavior is not always useful to subordinates: a supervisor’s consideration is useful to subordinates with high morality, whereas a supervisor’s consideration behavior is not useful to subordinates with high ability. In the discussion section, implications of these results are discussed from theoretical and practical perspectives. In addition, limitations of this study and directions of future study are suggested.