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- 저자 : 이충호(Lee, Chung-ho) (검색결과 484 건)
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이충호,허훈,Lee, Choong-Ho,Huh, Hoon 대한기계학회 1996 大韓機械學會論文集A Vol.20 No.6
A new finite elemetn approach is introduced for direct prediction of bland shapes and strain distributions from desired final shapes in sheet metal forming. The approach deals with the geometric compatibility of finite elements, plastic deformation theory, minimization of plastic work with constraints, and a proper initial guess. The algorithm developed is applied to cylindrical cup drawing, square cup drawing, and fron fender forming to confirm its validity by demonstratin reasonable accurate numerical results of each problems. Rapid calculation with this algorithm enables easy determination of various process variables for design of sheet metal forming process.
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이충호,김주현,채영수,이송,Lee, Choong-Ho,Kim, Ju-Hyun,Chae, Young-Su,Lee, Song (사)한국토질및기초기술사회 2006 기술발표회 Vol.2006 No.-
In this test, there was two dimensional model loading test implemented for analysis with respect to the problem of evaluating bearing capacity and the application range on the dredged and reclaimed ground. It was got following conclusion through comparison of button's and Brown&Meyerhof"s equation with experimental result that was obtained by 2 dimensions model loading test. For the difference between average undrained shear strength by 2/3B of loading board width and under 2/3B is more than ${\pm}$ 50%, application of Nc(coefficient of bearing capacity was used in that case $\phi$=0 analysis is considered in the single layer) was declined. Brown&Meyerhof(1969)'s equation was underestimated comparing with loading test result, while Button(1953)'s equation was overestimated comparing with loading test result applied dividing as double layers of upper dessication layer and lower soft layer about dredged and reclaimed ground. Also, bearing capacity factors, Nc that was calculated by using button's equation was estimated greatly about 1.7 times more than bearing capacity factors, Nc that was calculated by using Brown&Meyerhof's equation. Bearing capacity factors, Nc that was calcuated by using Brown&Meyerhof's and Button's equation was evaluated each 2.3-3.6 times, 1.3-2.1 times smaller than bearing capacity factors, Nc5.14 that was calcuated by using Meyerhof's equation in case of unit layer.
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위상 한정 상관법으로 얼굴을 인식하기 위한 최적 얼굴 영역의 정의
이충호,Lee, Choong-Ho 한국융합신호처리학회 2012 융합신호처리학회 논문지 (JISPS) Vol.13 No.3
위상한정 상관법은 특징점추출이나 고유얼굴을 사용하지 않고 얼굴을 인식할 수 있는 유용한 방법으로 정사각형 영역에 대하여 푸리에변환을 이용한다. 본 본문에서는 위상한정 상관법을 이용한 얼굴인식 방법의 성능을 향상시키기 위하여 이 기법에 보다 효과적인 정사각형 얼굴영역을 실험을 통하여 제안하고 있다. 구체적으로 세 가지 얼굴영역에 대하여 실험하였다. 첫째 머리부분과 여백을 포함하는 정사각형영역, 둘째 수평방향으로 양 귀 사이와 수직방향으로 턱끝에서 이마까지의 정사각형영역, 셋째 수평방향으로 입술 바로 밑을 지나는 선이 뺨영역과 만나는 두 점 사이, 수직방향으로 입술 바로 밑에서 이마까지의 정사각형영역이다. 실험결과 세 가지 영역 중에서 두 번째 얼굴영역이 위상한정 상관법의 임계치 설정에 가장 유리함을 보였다. POC(Phase-Only Correlation) is a useful method that can conduct face recognition without using feature extraction or eigenface, but uses Fourier transformation for square areas. In this paper, we propose an effective face area to increase the performance of face recognition using POC. Specifically, three areas are experimented for POC. The frist area is the square area that includes head and space. The second area is the square area from ear to ear horizontally and from the end of chin to the forehead vertically. The third area is the square area from the line under the lips to the forehead vertically and from cheek to cheek horizontally. Experimental results show that the second face area has the best advantage among the three types of areas to define the threshold for POC.
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확장 가능한 고가용 데이터베이스 클러스터에서 B<sup>+</sup> 트리 색인의 온-라인 재조직 기법
이충호,배해영,Lee, Chung-Ho,Bae, Hea-Young 한국정보처리학회 2002 정보처리학회논문지D Vol.9 No.5
온-라인 재조직 기법은 인터넷 환경과 같은 동적 환경에서 높은 가용성과 고성능을 제공하기 위한 비공유 데이터베이스 클러스터의 필수적인 기능이다. 기존의 온-라인 재조직 기법은 클러스터 안의 프로세싱 노드에 과부하가 생긴 경우, 과부하 노드의 데이터를 인접 노드로 빠르게 이동시킴으로써 부하 분배를 수행한다. 그러나 동시에 두개 이상의 다중 노드에 과부하가 발생된 경우, 부하 분배를 위해 인접 노드로 여러 번의 반복된 데이터 이동이 발생되고, 재조직 수행동안 시스템의 응답 속도가 늦어지는 문제점이 있다. 본 논문에서는 다중 노드에 발생한 과부하 문제를 빠르고 효율적으로 해결하는 향상된 $B^{+}$트리 색인의 온-라인 재조직 기법을 제안한다. 제안된 기법은 확장 가능한 데이터베이스 클러스터 환경 하에 온-라인 확장을 통해 새롭게 추가된 노드들에 데이터를 이동시킴으로써 데이터 이동의 회수를 줄이면서 빠른 시간 안에 온-라인 재조직을 수행하도록 한다. 또한 제안된 기법에서는 $B^{+}$-트리 색인 대신 캐시를 고려한 CS$B^{+}$-트리 색인을 이용하여 검색과 갱신 연산을 보다 빠르게 처리하도록 한다. 제안된 온-라인 재조직 기법은 확장 가능한 고가용 데이터베이스 클러스터 시스템으로 개발된 최대 결함허용 보장 데이터베이스 클러스터(Ultra Fault-Tolerant Database Cluster) 환경에서 성능 평가를 통해 기존 기법에 비해 빠르고 효율적임을 보인다. On-line reorganization in a shared nothing database cluster is crucial to the performance of the database system in a dynamic environment like WWW where the number of users grows rapidly and changing access patterns may exhibit high skew. In the existing method of on-line reorganization have a drawback that needs excessive data migrations in case more than two nodes within a cluster have overload at the same time. In this paper, we propose an advanced B$^{+}$ tree based on-line reorganization method that solves data skew on multi-nodes. Our method facilitates fast and efficient data migration by including spare nodes that are added to cluster through on-line scaling. Also we apply CSB$^{+}$ tree (Cache Sensitive B$^{+}$ tree) to our method instead of B$^{+}$ tree for fast select and update queries. We conducted performance study and implemented the method on Ultra Fault-Tolerant Database Cluster developed for high scalability and availability. Empirical results demonstrate that our proposed method is indeed effective and fast than the existing method. method.
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확산 신경 회로망을 이용한 광대역 공간 주파수 성분의 윤곽선 검출
이충호,권율,김재창,남기곤,윤태훈,Lee, Choong-Ho,Kwon, Yool,Kim, Jae-Chang,Nam, Ki-Gon,Yoon, Tae-Hoon 대한전자공학회 1995 전자공학회논문지-B Vol.b32 No.1
The diffusion neural network forms a Gaussian distribution by transferring an excitation to the surround. A DOG(difference of two Gaussians) is obtained by the diffusion neural network. This type of the DOG, which can detect the intensity changes of an image, has the same shape as a LOG(Laplacian of a Gaussian:${\Delta}^2$G) and narrow band pass characteristics. In this paper we show that another type of the DOG which has a very narrow Gaussian for the excitatory and a very wide Gaussian for the inhibitory, can be formed by the diffusion process of this network, This type of the DOG has a wide band width in spatial frequency domain and can be used efficiently in detecting special type of edges.
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박판금속성형의 초기 블랭크 최적설계를 위한 삼차원 다단계 역해석
이충호,허훈,Lee, Choong-Ho,Huh, Hoon 대한기계학회 1997 大韓機械學會論文集A Vol.21 No.12
Values of process parameters in sheet metal forming can be estimated by various one-step inverse methods. One-step inverse methods based on deformation theory, however, cause some amount of error. The amount of error is generally increased as the deformation path becomes more complex. As a remedy, a new three dimensional multi-step inverse method is introduced for optimum design of blank shapes and strain distributions from desired final shapes. The approach extends a one-step inverse method to a multi-step inverse method in order to reduce the amount of error. The algorithm developed is applied to square cup drawing to confirm its validity by demonstrating reasonably accurate numerical results. Rapid calculation with this algorithm enables easy determination of an initial blank of sheet metal forming.
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