• Journal of the Korean Geotechnical Society
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• v.38 no.3
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• pp.27-34
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• 2022

Since water flow in the ground depends on the pore structure composed of soil grains, equations to predict the hydraulic properties based on the grain size have low accuracy. This paper presents a methodology to compute constriction-pore size distribution by Silveria's method and estimate saturated and unsaturated hydraulic properties of soils. Well-graded soil shows a uni-modal pore size distribution, and poor-graded soil does a bimodal distribution. Among theoretical models for saturated hydraulic conductivity using pore size distribution, Marshall model is well-matched with experimental results. Model formulas for soil-water characteristic curves and unsaturated hydraulic conductivity using the pore size distribution are proposed for hydraulic analysis of unsaturated soil. Continuous research is needed to select a model suitable to estimate hydraulic properties by applying the developed model formulas to various soils.

• Fire Science and Engineering
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• v.33 no.6
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• pp.9-19
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• 2019

In fire simulations for building fire safety evaluation, changes in the fire area and grid size can significantly influence the prediction results. Therefore, the effects of area changes of the fire source with identical maximum heat release rates on the prediction results of a compartment fire were investigated. The dependence of the prediction results on the grid size using the identical fire area was also examined. No significant changes were observed in the thermal and chemical characteristics of the fires with variable grid sizes, even though the fire area was changed when six or more grids were set based on the fire diameter. In addition, changes in the fire area caused significant differences in the prediction of major physical quantities associated with available safety egress time (ASET) within a compartment. However, the fire area changes did not considerably influence the overall fire characteristics outside the compartment after reaching a certain distance from the opening.

• Journal of the Korean Society for Nondestructive Testing
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• v.27 no.5
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• pp.383-392
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• 2007

In this paper, we study the prediction of depth and width of a defect in steam generator tube in nuclear power plant using neural network. To this end, we first generate eddy current testing (ECT) signals for 4 defect patterns of SG tube: I-In type, I-Out type, V-In type, and V-Out type. In particular, we generate 400 ECT signals for various widths and depths for each defect type by the numerical analysis program based on finite element modeling. From those generated ECT signals, we extract new feature vectors for the prediction of defect size, which include the angle between the two points where the maximum impedance and half the maximum impedance are achieved. Using the extracted feature vector, multi-layer perceptron with one hidden layer is used to predict the size of defects. Through the computer simulation study, it is shown that the proposed method achieves decent prediction performance in terms of maximum error and mean absolute percentage error (MAPE).

• Korean Chemical Engineering Research
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• v.50 no.1
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• pp.66-71
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• 2012

We deal with a problem to determine experimentally as well as theoretically permeability of incompressible viscous flow through packed bed of bidisperse hard spheres in size. For the size ratios of large to small spheres ${\lambda}$=1.25 and 2, we set up bidisperse packing and measured porosity and permeability at various volumetric ratios of small to large spheres ${\gamma}$. Bidisperse packing shows lower porosity and permeability than monodisperse packing does. Variation of porosity as a function of ${\gamma}$ does not match with that of permeability. A theoretical expression for predicting permeability of a viscous flow for packed bed of bidisperse packing is derived based on calculation of drag force acting on each sphere and its predictions are compared with the experimental data and those from some relations previously suggested. It is found that our theory shows better agreement with experimental results than the previous studies and is proved to be quite simple and accurate in estimating the permeability.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.8
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• pp.1675-1685
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• 2012

DVC (Distributed Video Coding) technique plays an essential role in providing low-complexity video encoder. But, in order to achieve the better rate-distortion performances, most DVC systems need feedback channel for parity bit control. This causes the DVC-based system to have high decoding latency and becomes as one of the most critical problems to overcome for a real implementation. In order to overcome this problem and to accelerate the commercialization of the DVC applications, this paper analyzes an effect of LDPCA frame size for adaptive LDPCA frame-based parity bit request estimations. First, this paper presents the LDPCA segmentation method in pixel-domain and explains the temporal-based bit request estimation method and the spatial-based bit request estimation method using the statistical characteristics between adjacent LDPCA frames. Through computer simulations, it is shown that the better performance and fast decoding is observed specially when the LDPCA frame size is 3168 in QCIF resolution.

• Journal of Soil and Groundwater Environment
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• v.7 no.3
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• pp.103-114
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• 2002

Knowledge of soil water retention characteristic is essential for many problems involving water flow and organic solute transport in unsaturated soils. A physico-empirical approach based on the translation of the particle-size distribution (PSD) into a corresponding water retention curve has been accomplished by others using the concept that the pore-size distribution is directly related to PSD. This approach implies that details of a PSD curve may affect the estimation of water retention characteristic (WRC). To determine whether the WRC estimation using the Arya-Paris model could be affected by the selection of a PSD model, four PSD models with one to four fitting parameters were used. The Jaky model with only one fitting parameter had greater WRC estimation ability than other models with greater number of fitting parameters. The better performance of the Jaky model may be explained by the effect of soil structure in field soils.

• Nuclear Engineering and Technology
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• v.17 no.2
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• pp.116-128
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• 1985

Considering vacancy generation and migration in grain and sink at grain boundary, a mechanistic densification model which is dependent on UO$_2$ temperature and microstructure has been developed. This densification model is a function of time, fission rate, temperature, density, pore size distribution and grain size. The resultant equation derived in this model which is different from Assmann and Stehle's resultant equations for four temperature regions, can be applied directly for all the pellet temperatures. The predictions of the present densification model very well agreed with the experimental data. This model well predicts absolute magnitude and trend in comparison with the empirical algorithm used in KFEDA code.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2005.11a
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• pp.169-172
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• 2005

크기조절 트랜스코딩에서 움직임 벡터 재 예측 과정은 많은 연산량을 필요로 하기 때문에, 실시간 처리를 위해서는 이 과정의 연산량을 줄이는 것이 필요하다. 본 논문에서는 여러 영상에 대해 예측 움직임 벡터를 산출하는 방법을 적응적으로 수행함으로써, 기존 방법에 비해 화질열화 없이 연산량을 줄이는 방법을 제안한다. 전체 움직임의 크기와 움직임 벡터들의 균일성(homogeneity)을 이용하여 움직임이 작을 때는 움직임 벡터 재산출 과정 없이 예측 움직임 벡터 성분을 0으로, 움직임이 크면 움직임 벡터들의 균일성의 정도에 따라 평균값 또는 중간값을 예측 움직임 벡터 성분으로 적응적으로 선택하였다. 그리고 좀 더 효율적인 움직임 벡터 수행을 위해 제안된 과정을 수평, 수직 성분에 각각 따로 적용하였다. 가중치를 부여하여 평균값을 취하는 가중평균 방법과 비효 실험한 결과, 같은 PSNR을 유지하는 조건에서 움직임 벡터 재산출 과정의 덧셈과 곱셈 연산의 수가 평균적으로 각각 96%, 42% 정도 감소하였다.

• Journal of Korea Multimedia Society
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• v.11 no.7
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• pp.956-965
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• 2008

H.264/AVC is the newest video coding standard of ITU-T VCEG and the ISO/IEC MPEG, offering a significant performance improvement over previous video coding standards. However, the computational complexity of H.264/AVC is drastically increased because of new technologies such as intra prediction, variable block size, quarter-pels motion estimation/compensation, etc. In this paper, we propose a fast intra prediction scheme which has two step processing. The first step is a fast block size decision which can be calculated only in one block without considering all cases of $4{\times}4$ block and $16{\times}16$ block. The complexity of the intra prediction can be reduced by using boundary difference values of macroblock. After selecting the block size, we can make mode decision using the neighbouring reference pixels and representative pixels of the block in the second step. The experimental results show that the proposed algorithm saved on the average 41.5% encoding time without any significant PSNR losses.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2359-2362
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• 2003

본 논문에서는 효과적으로 블록 크기를 변화시키는 움직임 예측에 대하여 제시하고 있다 블록안의 움직임의 정도에 따라 블록 크기를 채택하는 방식으로, 임의의 프레임에서의 블록의 수는 정확한 움직임을 나타내기 위해 변화된다. 이것은 움직임과 보충적인 데이터사이의 비트할당이 가변적이 되고, 프레임에 기초한 전체적인 비트율 역시 변화하게 된다. 특히, 본 논문은 동적 블록 크기 방법의 대표적인 쿼드 트리(quad fee) 방법의 단점을 보완하는 방향에서 연구되었으며, 성능 향상을 위한 새로운 방법도 아울러 덧붙여져 있다. 즉, 보통 사용하는 쿼드 트리 방식의 분할 대신에 각각의 쿼드 부분의 프레임 차를 이용하여 가장 큰 블록의 동질성 테스트를 실시하여 분할한다. 또한, 분할과 재결합 방식을 함께 적용하여 불필요한 블록의 개수가 많아지는 것을 방지하여, 큰 계산량 감소와 높은 이미지 질을 달성하도록 하였다. 자연히, 계산량은 기존 방법보다 약 20-70％ 정도 감소했으며, 이미지 질도 크게 향상되는 결과를 가져오게 되었다