• 제목/요약/키워드: Partition approximation method

검색결과 22건 처리시간 0.026초

New higher-order triangular shell finite elements based on the partition of unity

  • Jun, Hyungmin
    • Structural Engineering and Mechanics
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    • 제73권1호
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    • pp.1-16
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    • 2020
  • Finite elements based on the partition of unity (PU) approximation have powerful capabilities for p-adaptivity and solutions with high smoothness without remeshing of the domain. Recently, the PU approximation was successfully applied to the three-node shell finite element, properly eliminating transverse shear locking and showing excellent convergence properties and solution accuracy. However, the enrichment with the PU approximation results in a significant increase in the number of degrees of freedom; therefore, it requires greater computational cost, thus making it less suitable for practical engineering. To circumvent this disadvantage, we propose a new strategy to decrease the total number of degrees of freedom in the existing PU-based shell element, without loss of optimal convergence and accuracy. To alleviate the locking phenomenon, we use the method of mixed interpolation of tensorial components and perform convergence studies to show the accuracy and capability of the proposed shell element. The excellent performances of the new shell elements are illustrated in three benchmark problems.

3D AE source location considering the anisotropy of elastic wave velocity under triaxial compression

  • Cho Hyuk-Ki;Song Jae-Joon;Lee Chung-In
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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    • pp.198-205
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    • 2003
  • We considered the variation of elastic wave velocity due to the anisotropy of rock materials and stress level for acoustic emission (AE) source location in cylindrical rock specimens. Elastic wave velocity and AE were measured for Keochang granite and Yeosan marble under various axial stresses and confining pressures. Partition approximation method was suggested and it was compared with the difference approximation method and the least square method.

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PATCHWISE REPRODUCING POLYNOMIAL PARTICLE METHOD FOR THICK PLATES: BENDING, FREE VIBRATION, AND BUCKLING

  • Kim, Hyunju;Jang, Bongsoo
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제17권2호
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    • pp.67-85
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    • 2013
  • Reproducing Polynomial Particle Method (RPPM) is one of meshless methods that use meshes minimally or do not use meshes at all. In this paper, the RPPM is employed for free vibration analysis of shear-deformable plates of the first order shear deformation model (FSDT), called Reissner-Mindlin plate. For numerical implementation, we use flat-top partition of unity functions, introduced by Oh et al, and patchwise RPPM in which approximation functions have high order polynomial reproducing property and the Kronecker delta property. Also, we demonstrate that our method is highly effective than other existing results for various aspect ratios and boundary conditions.

Thermodynamic Properties of the Modified Yukawa Potential

  • Okorie, U.S.;Ibekwe, E.E.;Ikot, A.N.;Onyeaju, M.C.;Chukwuocha, E.O.
    • Journal of the Korean Physical Society
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    • 제73권9호
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    • pp.1211-1218
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    • 2018
  • Within the framework of the modified factorization method, we solve the $Schr{\ddot{o}}dinger$ equation with the modified Yukawa potential. The energy spectrum is obtained using the Pekeris approximation scheme for the centrifugal term. The thermodynamic properties, including the vibrational partition function, vibrational mean energy, vibrational mean free energy, vibrational specific heat capacity and vibrational entropy, are calculated. As a special case, we compare our result with that work of Dong [Int. J. Quant. Chem. 107, 366 (2007)] and find good agreement.

Improved Dynamic Programming in Local Linear Approximation Based on a Template in a Lightweight ECG Signal-Processing Edge Device

  • Lee, Seungmin;Park, Daejin
    • Journal of Information Processing Systems
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    • 제18권1호
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    • pp.97-114
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    • 2022
  • Interest is increasing in electrocardiogram (ECG) signal analysis for embedded devices, creating the need to develop an algorithm suitable for a low-power, low-memory embedded device. Linear approximation of the ECG signal facilitates the detection of fiducial points by expressing the signal as a small number of vertices. However, dynamic programming, a global optimization method used for linear approximation, has the disadvantage of high complexity using memoization. In this paper, the calculation area and memory usage are improved using a linear approximated template. The proposed algorithm reduces the calculation area required for dynamic programming through local optimization around the vertices of the template. In addition, it minimizes the storage space required by expressing the time information using the error from the vertices of the template, which is more compact than the time difference between vertices. When the length of the signal is L, the number of vertices is N, and the margin tolerance is M, the spatial complexity improves from O(NL) to O(NM). In our experiment, the linear approximation processing time was 12.45 times faster, from 18.18 ms to 1.46 ms on average, for each beat. The quality distribution of the percentage root mean square difference confirms that the proposed algorithm is a stable approximation.

동적 비트 할당을 통한 다차원 벡터 근사 트리 (Multi-Dimensional Vector Approximation Tree with Dynamic Bit Allocation)

  • 복경수;허정필;유재수
    • 한국콘텐츠학회논문지
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    • 제4권3호
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    • pp.81-90
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    • 2004
  • 최근 컴퓨팅 환경의 급속한 발전으로 다양한 응용에서 다차원 데이터에 대한 활용이 증가되고 있다. 본 논문에서는 내용 기반 다차원 데이터 검색을 위한 벡터 관사 트리를 제안한다 제안하는 색인 구조는 공간 분할 방식과 벡터 근사화 기법을 이용하여 영역 정보를 표현하기 때문에 하나의 노드 안에 많은 영역 정보를 저장하여 트리의 높이를 감소시킨다 또한 다차원의 데이터 공간에 동적인 비트로 할당하여 다차원색인 구조의 문제점인 '차원의 저주 현상'을 해결한다. 또한 군집화된 데이터에 대해서 효과적인 표현 기법을 제공한다. 자식 노드의 영역 정보는 부모 노드를 기준으로 상대적으로 표현함으로서 좀더 정확한 영역을 표현할 수 있다. 제안하는 색인 구조의 우수성을 보이기 위해 실험을 통해 기존에 제안된 색인구조와의 비교 분석을 수행한다.

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초기값의 최적 설정에 의한 최적화용 신경회로망의 성능개선 (Improving the Performances of the Neural Network for Optimization by Optimal Estimation of Initial States)

  • 조동현;최흥문
    • 전자공학회논문지B
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    • 제30B권8호
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    • pp.54-63
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    • 1993
  • This paper proposes a method for improving the performances of the neural network for optimization by an optimal estimation of initial states. The optimal initial state that leads to the global minimum is estimated by using the stochastic approximation. And then the update rule of Hopfield model, which is the high speed deterministic algorithm using the steepest descent rule, is applied to speed up the optimization. The proposed method has been applied to the tavelling salesman problems and an optimal task partition problems to evaluate the performances. The simulation results show that the convergence speed of the proposed method is higher than conventinal Hopfield model. Abe's method and Boltzmann machine with random initial neuron output setting, and the convergence rate to the global minimum is guaranteed with probability of 1. The proposed method gives better result as the problem size increases where it is more difficult for the randomized initial setting to give a good convergence.

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역공학을 위한 측정점의 영역화 (Segmentation of Measured Point Data for Reverse Engineering)

  • 양민양;이응기
    • 한국CDE학회논문집
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    • 제4권3호
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    • pp.173-179
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    • 1999
  • In reverse engineering, when a shape containing multi-patched surfaces is digitized, the boundaries of these surfaces should be detected. The objective of this paper is to introduce a computationally efficient segmentation technique for extracting edges, ad partitioning the 3D measuring point data based on the location of the boundaries. The procedure begins with the identification of the edge points. An automatic edge-based approach is developed on the basis of local geometry. A parametric quadric surface approximation method is used to estimate the local surface curvature properties. the least-square approximation scheme minimizes the sum of the squares of the actual euclidean distance between the neighborhood data points and the parametric quadric surface. The surface curvatures and the principal directions are computed from the locally approximated surfaces. Edge points are identified as the curvature extremes, and zero-crossing, which are found from the estimated surface curvatures. After edge points are identified, edge-neighborhood chain-coding algorithm is used for forming boundary curves. The original point set is then broke down into subsets, which meet along the boundaries, by scan line algorithm. All point data are applied to each boundary loops to partition the points to different regions. Experimental results are presented to verify the developed method.

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프랙탈 기반의 가변블록을 이용한 컬러영상 부호화 (Color Image Coding using Variable Block of Fractal)

  • 박재홍;박철우
    • 한국방사선학회논문지
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    • 제8권7호
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    • pp.435-441
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    • 2014
  • 본 논문에서는 프랙탈 부호화시 변환식의 계수를 찾는 과정에서 블럭의 탐색 영역을 줄이기 위해 탐색영역인 도메인 블록의 특성을 화소의 밝기의 평균에 의한 클라스와 분산에 의한 클라스로 분류하여 리스트를 구성한 후 레인지블록과 같은 클라스를 가지는 도메인블록만 검색하도록 하면서 도메인 블럭 탐색시 1차 허용 오차 한계값을 제어하여 부호화 시간을 향상시켰다. 또한 퀴드트리 분할법으로 레인지블록의 크기를 가변시켜 변환($W_i$)의 수를 줄임으로서 압축효율을 높이고 레인지블록의 크기에 따라 탐색 영역의 탐색 밀도를 변화시켜 화질 개선을 시도하였으며, 이러한 영상기법을 24-bpp 컬러 영상 압축에 적용하였다. 그 결과 영상의 화질에는 거의 손실이 생기지 않았고 컬러 RGB영상에 같은 부호화 방법을 사용 하였을 때 그레이레벨 영상과 같은 압축률이나 화질 면에서 우수한 성능을 나타내었다.

전산화단층촬영 칼라영상의 YIQ모델을 가변블록 이용한 프랙탈 영상 부호화 (The YIQ Model of Computed Tomography Color Image Variable Block with Fractal Image Coding)

  • 박재홍;박철우
    • 한국방사선학회논문지
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    • 제10권4호
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    • pp.263-270
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    • 2016
  • 본 논문에서는 프랙탈 부호화시 변환식의 계수를 찾는 과정에서 블럭의 탐색 영역을 줄이기 위해 탐색 영역인 도메인블록의 특성을 화소의 밝기의 평균에 의한 클래스와 분산에 의한 클래스로 분류하여 리스트를 구성한 후 레인지블록과 같은 클래스를 가지는 도메인블록만 검색하도록 하면서 도메인블럭 탐색시 1 차 허용 오차 한계값을 제어하여 부호화 시간을 향상시켰다. 또한 쿼드트리분할법으로 레인지블록의 크기를 가변시켜 변환( w i )의 수를 줄임으로서 압축효율을 높이고 레인지블록의 크기에 따라 탐색 영역의 탐색 밀도를 변화시켜 화질 개선을 시도하였으며 이러한 영상 기법을 24-bpp 컬러 영상 압축에 적용하였다. 먼저 RGB표색계를 휘도신호와 채도신호를 가지는 YIQ표색계로 변환한 후 영상 정보의 일부분만 차지하고 있는 색의 정보를 나타내는 I,Q신호는 공간평균을 취하여 1/4로 축소하여 부호화하고 복원시에 선형 보간법을 이용하여 다시 원 영상으로 확대하였다. 그 결과 영상의 화질에는 거의 손실이 생기지 않았고 서로 독립성이 강한 RGB영상에 같은 부호화 방법을 사용하였을 때 보다 압축률이나 화질면 에서 우수한 성능을 나타내었다.