• 제목/요약/키워드: symmetric non-hierarchical

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p-수렴 경계요소법에 의한 L-형 영역을 갖는 2차원 포텐셜 문제 해석 (Analysis of 2-D Potential Problem with L-shape Domain by p-Convergent Boundary Element Method)

  • 우광성;조준형
    • 한국전산구조공학회논문집
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    • 제22권1호
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    • pp.117-124
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    • 2009
  • 2차원 포텐셜 문제를 해석하기 위해 고차의 르장드르 형상함수에 기초를 둔 p-수렴 경계요소법이 제안되었다. p-수렴 경계요소법은 종래의 경계요소법에서 사용되는 형상함수와 성질이 다른 르장드르 다항식을 형상함수로 사용한다. p-수렴 유한요소법과 마찬가지로 고차의 형상함수에 따른 절점의 위치가 경계상에서 정해지지 않는다. 따라서 형상함수가 증가함에 따라 선형방정식을 구성하기 위한 수단으로 선점법을 이용하였다. p-수렴 경계요소법에서 선점법은 비대칭 계층적 선점법과 대칭 비계층적 선점법을 선택하여 수치해석을 수행하였다. 선택점들은 형상함수가 증가함에 따라 증가하는 성질을 나타내며 계층적 또는 대칭적으로 선택될 수 있다. p-수렴 경계요소법에서 나타나는 특이 적분항을 계산하기 위해 special numeric quadrature technique와 semi-analytical integration technique를 사용하였다. 사각모서리부에서 특이성을 가지는 L-형 영역문제를 해석한 결과 적은 수의 자유도에서 기존문헌의 결과와 차이가 거의 없는 정도인 $10^{-2}%$단위 이하의 정확도를 보여주었다. 또한 같은 조건에서는 대칭형 선점의 위치를 이용해 계산한 값이 가장 높은 정확도를 보여주었다.

비대칭적 성능의 고용량 비휘발성 메모리를 위한 계층적 구조의 이진 탐색 트리 (A Hierarchical Binary-search Tree for the High-Capacity and Asymmetric Performance of NVM)

  • 정민성;이미정;이은지
    • 대한임베디드공학회논문지
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    • 제14권2호
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    • pp.79-86
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    • 2019
  • For decades, in-memory data structures have been designed for DRAM-based main memory that provides symmetric read/write performances and has no limited write endurance. However, such data structures provide sub-optimal performance for NVM as it has different characteristics to DRAM. With this motivation, we rethink a conventional red-black tree in terms of its efficacy under NVM settings. The original red-black tree constantly rebalances sub-trees so as to export fast access time over dataset, but it inevitably increases the write traffic, adversely affecting the performance for NVM with a long write latency and limited endurance. To resolve this problem, we present a variant of the red-black tree called a hierarchical balanced binary search tree. The proposed structure maintains multiple keys in a single node so as to amortize the rebalancing cost. The performance study reveals that the proposed hierarchical binary search tree effectively reduces the write traffic by effectively reaping the high capacity of NVM.

Neutral surface-based static and free vibration analysis of functionally graded porous plates

  • J.R. Cho
    • Steel and Composite Structures
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    • 제49권4호
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    • pp.431-440
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    • 2023
  • The functionally graded (FG) porous plates are usually characterized by the non-symmetric elastic modulus distribution through the thickness so that the plate neutral surface does not coincide with the mid-surface. Nevertheless, the conventional analysis models were mostly based on the plate mid-surface so that the accuracy of resulting numerical results is questionable. In this context, this paper presents the neutral surface-based static and free vibration analysis of FG porous plates and investigates the differences between the mid- and neutral surface-based analysis models. The neutral surface-based numerical method is formulated using the (3,3,2) hierarchical model and approximated by the last introduced natural element method (NEM). The volume fractions of metal and ceramic are expressed by the power-law function and the cosine-type porosity distributions are considered. The proposed numerical method is demonstrated through the benchmark experiment, and the differences between two analysis models are parametrically investigated with respect to the thickness-wise material and porosity distributions. It is found from the numerical results that the difference cannot be negligible when the material and porosity distributions are remarkably biased in the thickness direction.

Carbohydrate and lipid spectroscopic molecular structures of different alfalfa hay and their relationship with nutrient availability in ruminants

  • Yari, Mojtaba;Valizadeh, Reza;Nnaserian, Abbas Ali;Jonker, Arjan;Yu, Peiqiang
    • Asian-Australasian Journal of Animal Sciences
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    • 제30권11호
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    • pp.1575-1589
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    • 2017
  • Objective: This study was conducted to determine molecular structures related to carbohydrates and lipid in alfalfa hay cut at early bud, late bud and early flower and in the afternoon and next morning using Fourier transform infrared spectroscopy (FT/IR) and to determine their relationship with alfalfa hay nutrient profile and availability in ruminants. Methods: Chemical composition analysis, carbohydrate fractionation, in situ ruminal degradability, and DVE/OEB model were used to measure nutrient profile and availability of alfalfa hay. Univariate analysis, hierarchical cluster analysis (CLA) and principal components analysis (PCA) were conducted to identify FT/IR spectra differences. Results: The FT/IR non-structural carbohydrate (NSCHO) to total carbohydrates and NSCHO to structural carbohydrate ratios decreased (p<0.05), while lignin to NSCHO and lipid CH3 symmetric to CH2 symmetric ratios increased with advancing maturity (p<0.05). The FT/IR spectra related to structural carbohydrates, lignin and lipids were distinguished for alfalfa hay at three maturities by PCA and CLA, while FT/IR molecular structures related to carbohydrates and lipids were similar between alfalfa hay cut in the morning and afternoon when analyzed by PCA and CLA analysis. Positive correlations were found for FT/IR NSCHO to total carbohydrate and NSCHO to structural carbohydrate ratios with non-fiber carbohydrate (by wet chemistry), ruminal fast and intermediately degradable carbohydrate fractions and total ruminal degradability of carbohydrates and predicted intestinal nutrient availability in dairy cows ($r{\geq}0.60$; p<0.05) whereas FT/IR lignin to NSCHO and CH3 to CH2 symmetric stretching ratio had negative correlation with predicted ruminal and intestinal nutrient availability of alfalfa hay in dairy cows ($r{\geq}-0.60$; p<0.05). Conclusion: FT/IR carbohydrate and lipid molecular structures in alfalfa hay changed with advancing maturity from early bud to early flower, but not during the day, and these molecular structures correlated with predicted nutrient supply of alfalfa hay in ruminants.

비대칭적 유사도 기반의 심볼릭 객체의 계층적 클러스터링 (Hierarchical Clustering of Symbolic Objects based on Asymmetric Proximity)

  • 오승준;박찬웅
    • 한국지능시스템학회논문지
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    • 제22권6호
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    • pp.729-734
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    • 2012
  • 패턴 인식, 데이터 분석, 침입 탐지, 이미지 처리, 바이오 인포매틱스 등과 같은 수많은 분야에서 클러스터링 분석이 사용되고 있다. 기존의 많은 연구들은 수치 데이터에만 기반을 두고 있다. 그러나 구간 데이터, 히스토그램, 심지어는 함수들을 값으로 갖는 변수들을 다루는 심볼릭 데이터 분석이 부상하고 있다. 본 논문에서는 이런 심볼릭 데이터들을 클러스터링하기 위하여 비대칭적 유사도를 제안한다. 또한 평균 유사도 값(ASV)에 기반한 클러스터링 방법도 개발한다. 제안하는 클러스터링의 결과는 기존 방법들과 다르며, 매우 고무적인 결과를 보여준다.