• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 추계학술대회논문집
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• pp.202-207
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• 2003

In the paper, the noise reduction characteristics of a double-gap resonator, which is installed inside an enclosed cavity and is composed of two air-gaps and two partition sheets, are introduced by theoretical analyses and experimets. Analysis for a simple, theoretical model reveals that the double-gap resonator is more effective than the single-gap resonator that consists of an air-gap and a partition sheet, in that the former requires a smaller space than the latter. Furthermore, this theoretical conclusion is verified by comparison experiments using an actually manufactured enclosed cavity, of which the boundary surfaces are made of thick, stiff panels that can be assumed as rigid walls.

• 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.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2011년도 추계학술대회
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• pp.42-45
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• 2011

최근ISO/IEC와 ITU는 공동 협력팀(Joint Collaborative Team on Video Coding-JCT-VC)을 구성하여 HEVC(High Efficiency Video Coding)라 불리는 새로운 비디오 압축 표준 기술을 개발하고 있다. JCT-VC의 목표 중 하나는 H.264/AVC 압축률의 2배를 향상하는 것으로 최근 HEVC 테스트 모델(HEVC Test Model - HM)을 확정했다. HM의 여러 기술 중에서 확장 블록 구조 (large block structure) 기술은 CU(Coding Unit)와 TU(Transform Unit), PU(Partition Unit)로 구성된다. CU와 TU는 압축 단위와 변환 기술을 확장한 반복적인 문법구조(recursive syntax structure)이며, PU는 H.264/AVC과 동일한 형태를 띈다. 확장 블록 구조는 CU, PU, TU의 여러 조합에 의해 다양한 모드를 지원하여 압축 성능은 높아졌지만 HM 부호화기의 복잡도는 증가한다. 본 논문에서는 HM에 채택된 확장 블록 구조 기술에 대해 설명한 후, 계층적 B프레임 구조로 부호화 되는 경우 이전 레벨의 CU Depth 정보를 이용하여 현재 레벨의 CU Depth를 효과적으로 제한하여 기존의 방법보다 빠르게 부호화하는 방법을 제안한다.

• Journal of the Korean Data and Information Science Society
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• 제15권3호
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• pp.565-574
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• 2004

Classification tree algorithms including as CART by Brieman et al.(1984) in some aspects, recursively partition the data space with the aim of making the distribution of the class variable as pure as within each partition and consist of several steps. SUPPORT(smoothed and unsmoothed piecewise-polynomial regression trees) method of Chaudhuri et al(1994), a weighted averaging technique is used to combine piecewise polynomial fits into a smooth one. We focus on applying SUPPORT to a binary class variable. Logistic model is considered in the caculation techniques and the results are shown good classification rates compared with other methods as CART, QUEST, and CHAID.

• Nuclear Engineering and Technology
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• 제14권1호
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• pp.10-16
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• 1982

액체특성구조이론을 액체 갈륨의 구조와 성질연구에 적용하였다. 이 연구에서 액체 Ga 속에는 $\beta$-Ga와 비슷한 구조와 $\alpha$-Ga와 비슷한 구조의 두가지가 있다는 가정을 하여 액체분배함수를 구하였다. 이를 사용하여 넓은 온도 범위에서 액체 Ga의 열역학적 및 수송학적 성질을 구하였다. 계산결과는 실험치와 잘 일치함을 보여주고 있다.

• Bulletin of the Korean Chemical Society
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• 제2권3호
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• pp.90-96
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• 1981

The significant structure theory of liquids has been successfully applied to the sodium ammonia solution. In applying the theory to sodium ammonia solution, we assumed there were four species in solution, i.e., sodium cation, solvated electron, triple ion, and free electron and equilibria existed between them. Based on these assumptions, we set up the model explaining the anomalous properties of sodium ammonia solution. The partition function for sodium ammonia solution is composed of the partition functions for the above four species and also for the Debye-Huckel excess free energy term. Agreements between calculated and experimental values of the thermodynamic quantities, such as molar volume, vapor pressure, partial molar enthalpy and entropy, and chemical potential as well as viscosity are quite satisfactory.

• 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.

• Current Optics and Photonics
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• 제5권6호
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• pp.617-626
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• 2021

A parallel Monte Carlo photon migration algorithm for graphics processing units that implements an improved load-balancing strategy is presented. Conventional parallel Monte Carlo photon migration algorithms suffer from a computational bottleneck due to their reliance on a simple load-balancing strategy that does not take into account the different length of the mean free paths of the photons. In this paper, path-partition load balancing is proposed to eliminate this computational bottleneck based on a mathematical formula that parallelizes the photon path tracing process, which has previously been considered non-parallelizable. The performance of the proposed algorithm is tested using three-dimensional photon migration simulations of a human skin model.

• 방송공학회논문지
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• 제27권3호
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• pp.332-340
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• 2022

최근 딥러닝을 적용하는 비디오 압축에 대한 연구가 활발히 진행되고 있다. 특히, 화면내 예측 부호화의 성능 한계를 극복할 수 있는 방안으로 딥러닝 기반의 화면내 예측 부호화 기술이 연구되고 있다. 본 논문은 신경망 기반 문맥적응적 화면내 예측 모델의 학습기법과 그 부호화 성능분석을 제시한다. 즉, 본 논문에서는 주변 참조샘플의 문맥정보를 입력하여 현재블록을 예측하는 기존의 합성곱 신경망(CNN: Convolutional Neural network) 기반의 화면내 예측 모델을 학습한다. 학습된 화면내 예측 모델을 HEVC(High Efficiency Video Coding)의 참조 소프트웨어인 HM16.19에 추가적인 화면내 예측모드로 구현하고 그 부호화 성능을 분석하였다. 실험결과 학습한 예측 모델은 HEVC 대비 AI(All Intra) 모드에서 0.28% BD-rate 부호화 성능 향상을 보였다. 또한 비디오 부호화 블록분할 구조를 고려하여 학습한 경우의 성능도 확인하였다.

• 한국환경과학회지
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• 제14권9호
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• pp.827-835
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• 2005

A three-dimensional ecological model (EMT -3D) was applied to Nonylphenol in Tokyo Bay. EMT -3D was calibrated with data obtained in the study area. The simulated results of dissolved Nonylphenol were in good agreement with the observed values, with a correlation coefficient(R) of 0.7707 and a coefficient of determination (R2) of 0.5940. The results of sensitivity analysis showed that biodegradation rate and bioconcentration factor are most important factors for dissolved Nonylphenol and Nonylphenol in phytoplankton, respectively. In the case of Nonylphenol in particulate organic carbon, biodegradation rate and partition coefficient were important factors. Therefore, the parameters must be carefully considered in the modeling. The mass balance results showed that standing stocks of Nonylphenol in water, in particulate organic carbon and in phytoplankton are $8.60\times 10^5\;g,\;2.19\times 10^2\;g\;and\;3.78\times 10^0\;g$ respectively. With respect to the flux of dissolved Nonylphenol, biodegradation in the water column, effluent to the open sea and partition to particulate organic carbon were $6.02\times10^3\;g/day,\;6.02\times10^2\;g/day\;and\;1.02\times10^1\;g/day$, respectively.