• 제목/요약/키워드: Multi-Block

검색결과 839건 처리시간 0.027초

적층 구조물의 동적 거동에 관한 실험적 연구 (Experimental Study on the Dynamics of Piled Multi- Block Systems)

  • 김재관;채윤병;조문형
    • 한국지진공학회:학술대회논문집
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    • 한국지진공학회 2002년도 춘계 학술발표회 논문집
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    • pp.275-283
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    • 2002
  • In this study, the shaking table tests of block systems on the rigid base have been performed to identify the seismic response and the dynamic behavior of the piled multi-block systems. To understand the characteristics of seismic response of piled multi-block systems, it is necessary to understand the dynamic behavior of single block system. Therefore, the skating table test of the single block system has been performed first. Moreover, by performing the shaking table tests of multi-block systems, the characteristics of dynamic behavior of piled multi-block systems have been analyzed. Also in this study, the distinct element method(DEM) has been used to analyze the nonlinear behavior of the piled multi-block systems. The results of the shaking table tests show that the response of the multi-block systems is very complicated. But by using DEM, the behavior of piled multi-block systems has been predicted and described well.

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Bi-CGSTAB 해법에 의한 복합격자망 해석방법에 관한 연구 (A Study on Multi-Block Technique by Bi-CGSTAB Solver)

  • 배진효;이재헌
    • 대한기계학회논문집B
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    • 제20권8호
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    • pp.2611-2625
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    • 1996
  • A numerical method on multi-block technique by Bi-CGSTAB(Bi-Conjugate Gradient STABilized) solver has been proposed. The present multi-block technique can reduce the numerical manipulation greatly because the common regions at the interface of each block are not necessary. In order to test the computational performance of present multi-block technique, the flow characteristics in a T type duct system and a N type duct system have been investigated by three kinds of methods such as the single-block method, the previous multi-block technique and the multi-block technique with Bi-CGSTAB solver. The results indicated that the required CPU time by present multi block technique was shorter than that of other two numerical methods and the convergency history was shown very stable at the present multi-block technique.

MULTI-BLOCK BOUNDARY VALUE METHODS FOR ORDINARY DIFFERENTIAL AND DIFFERENTIAL ALGEBRAIC EQUATIONS

  • OGUNFEYITIMI, S.E.;IKHILE, M.N.O.
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제24권3호
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    • pp.243-291
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    • 2020
  • In this paper, multi-block generalized backward differentiation methods for numerical solutions of ordinary differential and differential algebraic equations are introduced. This class of linear multi-block methods is implemented as multi-block boundary value methods (MB2 VMs). The root distribution of the stability polynomial of the new class of methods are determined using the Wiener-Hopf factorization of a matrix polynomial for the purpose of their correct implementation. Numerical tests, showing the potential of such methods for output of multi-block of solutions of the ordinary differential equations in the new approach are also reported herein. The methods which output multi-block of solutions of the ordinary differential equations on application, are unlike the conventional linear multistep methods which output a solution at a point or the conventional boundary value methods and multi-block methods which output only a block of solutions per step. The MB2 VMs introduced herein is a novel approach at developing very large scale integration methods (VLSIM) in the numerical solution of differential equations.

얼굴 인식률 향상을 위한 멀티 블록 방식의 딥러닝 구조에 관한 연구 (A Study on Deep Learning Structure of Multi-Block Method for Improving Face Recognition)

  • 라승탁;김홍직;이승호
    • 전기전자학회논문지
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    • 제22권4호
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    • pp.933-940
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    • 2018
  • 본 논문에서는 얼굴 인식률 향상을 위한 멀티 블록 방식의 딥러닝 구조를 제안한다. 제안하는 딥러닝의 인식 구조는 입력된 이미지의 멀티 블록화, 특징 수치 분석을 통한 멀티 블록 선정, 선정된 멀티 블록의 딥러닝 수행 등의 3가지 과정으로 구성된다. 첫 번째로 입력된 이미지의 멀티 블록화는 입력된 이미지를 4등분하여 멀티 블록화 시킨다. 두 번째로 특징 수치분석을 통한 멀티 블록 선정에서는 4등분된 멀티 블록들의 특징 수치를 확인하고 특징이 많이 부각되는 블록만을 선정하여 얼굴 인식에 방해가 되는 요소를 사전에 제거한 블록들을 선정한다. 세 번째로 선정된 멀티 블록으로 딥러닝 수행은 선정된 멀티 블록 부위가 학습되어진 딥러닝 모델에 인식을 수행하여 특징 수치가 높은 효율적인 블록으로 얼굴 인식의 결과를 도출한다. 제안된 딥러닝 구조의 성능을 평가하기 위하여 CAS-PEAL 얼굴 데이터베이스를 사용하여 실험 하였다. 실험 결과, 제안하는 멀티 블록 방식의 딥러닝 구조가 기존의 딥러닝 구조보다 평균 약 2.3% 향상된 얼굴 인식률을 나타내어 그 효용성이 입증됨을 확인하였다.

다중블록/다중영역분할 기법을 이용한 유동해석 코드 병렬화 (Parallelization of Multi-Block Flow Solver with Multi-Block/Multi-Partitioning Method)

  • 주완돈;이보성;이동호;홍승규
    • 한국항공우주학회지
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    • 제31권7호
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    • pp.9-14
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    • 2003
  • 본 연구에서는 다중블록 격자를 병렬화 하기 위해서 다중블록/다중영역분할 기법을 제안하였다. 이 방법은 각 블록을 사용하고자 하는 프로세서의 개수만큼 나눔으로써 전체 프로세서에 대해서 균일한 로드 밸런싱을 유지할 수 있는 장점이 있다. 영역분할 기법에 따른 병렬화 효율 및 속도 향상률을 비교하기 위해서 다중블록/단일 영역분할 기법과 다중블록/다중 영역분할 기법을 서로 비교 하였으며, 블록간의 격자수가 크게 다른 경우 다중영역 분할 기법이 로드 밸런싱에 있어서 보다 안정적임을 확인 할 수 있었다. 또한 이를 CFDS에 적용함으로써 다중블록 다중영역분할 기법의 효용성을 검증하였다. 3차원 계산의 경우 프로세서 16개를 사용하는 경우 약 12배의 속도 향상률을 보였으며, 다중블록을 병렬화 하는데 있어서 다중블록/다중영역 분할 기법이 효율적인 도구가 될 수 있음을 보였다.

Delaunay 삼각화 기법을 활용한 다중-블록 정렬 격자의 자동 생성 기법 (Automatic Multi-Block Grid Generation Technique Based on Delaunay Triangulation)

  • 김병수
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 1999년도 추계 학술대회논문집
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    • pp.108-114
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    • 1999
  • In this paper. a new automatic multi=block grid generation technique for general 2D regions is introduced. According to this simple and robust method, the domain of interest is first triangulated by using Delaunay triangulation of boundary points, and then geometric information of those triangles is used to obtain block topology. Once block boundaries are obtained. structured grid for each block is generated such that grid lines have $C^0-continuity$ across inter-block boundaries. In the final step of the present method, an elliptic grid generation method is applied to smoothen grid distribution for each block and also to re-locale the inter-block boundaries, and eventually to achieve a globally smooth multi-block structured grid system with $C^1-continuity$.

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적층 강체블록의 수직축 회전을 고려한 Sliding운동 해석과 실험 (ANALYSIS OF SLIDING MOTION OF PILED MULTI-BLOCK SYSTEMS CONSIDERING HORIZONTAL ROTATION)

  • 황인섭;김재관
    • 한국지진공학회:학술대회논문집
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    • 한국지진공학회 2003년도 춘계 학술발표회논문집
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    • pp.193-199
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    • 2003
  • The most cultural heritages are composed of piled multi-block systems which are vulnerable to earthquakes. The stone of low height tends to slide when the excitation such as earthquake is applied and this sliding motion has effects on the whole response of the structure. In this study, analytical method of sliding motion of the piled multi-block systems considering horizontal rotation is developed and compared with shaking table test results. It is shown that the nonlinear analysis of sliding motion of multi-block system leads to satisfactory results.

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저공해 도시 쓰레기 소각로의 연소특성 연구 - 다중블럭 해석 프로그램의 개발 및 검증 - (A Study on Combustion Characteristics in a Low-Pollutant Municipal Waste Incinerator - Development and Validation of a Multi-Block Simulation Code -)

  • 손영민;김만영;백승욱
    • 대한기계학회논문집B
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    • 제27권4호
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    • pp.534-541
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    • 2003
  • To investigate the combustion characteristics in a low-pollutant municipal waste incinerator, the generalized multi-block simulation code that can be applied to turbulent reacting flow with gaseous hydrocarbon fuel in a 3D complex geometry has been developed with nongray radiation effects. To deal with the complex geometry, structured multi-block method and the scheme which treats interfaces implicitly are adopted. The developed code is validated through various engineering problems such as curved duct flow, driven cavity flow, gray multi-block radiation, nongray radiation. and combustion in a incinerator.

Multi-block Analysis of Genomic Data Using Generalized Canonical Correlation Analysis

  • Jun, Inyoung;Choi, Wooree;Park, Mira
    • Genomics & Informatics
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    • 제16권4호
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    • pp.33.1-33.9
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    • 2018
  • Recently, there have been many studies in medicine related to genetic analysis. Many genetic studies have been performed to find genes associated with complex diseases. To find out how genes are related to disease, we need to understand not only the simple relationship of genotypes but also the way they are related to phenotype. Multi-block data, which is a summation form of variable sets, is used for enhancing the analysis of the relationships of different blocks. By identifying relationships through a multi-block data form, we can understand the association between the blocks in comprehending the correlation between them. Several statistical analysis methods have been developed to understand the relationship between multi-block data. In this paper, we will use generalized canonical correlation methodology to analyze multi-block data from the Korean Association Resource project, which has a combination of single nucleotide polymorphism blocks, phenotype blocks, and disease blocks.

다해상도 기반 계층적 변이맵을 이용한 중간영상 생성 방법 (An Intermediate Image Generation Method using Multiresolution-based Hierarchical Disparity Map)

  • 허경무;유재민
    • 제어로봇시스템학회논문지
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    • 제9권11호
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    • pp.899-905
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    • 2003
  • An intermediate images generation method using multi-resolution based hierarchical block matching disparity map is proposed. This method is composed of a disparity estimation, an occlusion detection and intermediate image synthesis. For the disparity estimation, which is one of the important processes in intermediate image synthesis, we use the multi-resolution based hierarchical block matching algorithm to overcome the imperfect ness of block matching algorithm. The proposed method makes disparity maps more accurate and dense by multi-resolution based hierarchical block matching, and the estimated disparity maps are used to generate intermediate images of stereo images. Generated intermediate images show 0.1∼1.4 ㏈ higher PSNR than the images obtained by block matching algorithm.