• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.2120-2124
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• 2007

본 연구에서는 천해역에서 수평 방향으로 방류되는 비부력 원형 난류제트에 대한 수리모형실험을 수행하여, 파랑이 제트의 확산에 미치는 영향을 검토하였다. 수리모형실험시 대상 파랑은 진폭이 작은 규칙파를 적용하였으며, 난류제트의 순간적인 유속장은 입자화상유속계(particle image velocimetry, PIV)기법을 이용하여 측정하였다. 평균유속장은 PIV기법으로 측정된 순간유속장을 위상평균하여 계산하였으며, 파의 진폭을 변화시키며 실험을 수행하였고, 파의 진폭변화에 따른 제트의 유속분포로부터 제트의 중심선과 제트단면을 추정하였다. 제트의 중심선속도는 파의 진폭이 증가함에 따라 중심선속도의 감소 시점이 빨라졌으며, 제트의 횡단면분포의 고유특성인 자기상사성(self-similarity)이 단계적으로 사라졌다. 제트 중심선의 속도와 제트 유속 단면은 제트의 확산정도를 알 수 있는 중요한 인자로서 파랑 진폭의 크기에 따른 이들 인자의 변화로부터 파랑의 분산이 난류제트의 확산현상에 미치는 영향을 알 수 있었다.

• The Korean Journal of Applied Statistics
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• v.26 no.1
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• pp.141-149
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• 2013

We present methods for studying the log-density ratio that enables the selection of the predictors and the form to be included in the logistic regression model. Under bivariate normal distributional assumptions, we investigate the form of the log-density ratio as a function of two predictors. If two covariance matrices are equal, then the crossproduct and quadratic terms are not needed. If the variables are uncorrelated, we do not need the crossproduct terms, but we still need the linear and quadratic terms. We also explore other conditions in which the crossproduct and quadratic terms are not needed in the logistic regression model.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.1
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• pp.160-170
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• 2010

This paper proposes a Haar Wavelet Feature Detector (HWFD) based on the Haar wavelet transform and average box filter. By decomposing the original image using the Haar wavelet transform, the proposed detector obtains the variance information of the image, making it possible to extract more distinctive features from the original image. For detection of interest points that represent the regions whose variance is the highest among their neighbor regions, we apply the average box filter to evaluate the local variance information and use the integral image technique for fast computation. Due to utilization of the Haar wavelet transform and the average box filter, the proposed detector is robust to illumination change, scale change, and rotation of the image. Experimental results show that even though the proposed method detects fewer interest points, it achieves higher repeatability, higher efficiency and higher matching accuracy compared with the DoG detector and Harris corner detector.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.10 no.2
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• pp.122-127
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• 2000

Microstructural evolutions in ceria-stabilized zirconia (Ce-TZP) and alumina-dispersed Ce-TZP ceramics were investigated as functions of doping and annealing conditions. All of sintered specimens showed the relative density over 99 %. Sintered specimens had linear grain boundaries and normal grain shapes, but ceria-doped specimens had irregular grain shapes and nonlinear grain boundaries due to the diffusion-induced grain boundary migration during annealing at $1650^{\circ}C$ for 2 h. Mean grain boundary length of Ce-TZP with irregular grain shapes was higher than that of normal grain shapes, and was a value of 23pm at the maximum. Alumina particles dispersed in Ce-TZP inhibited the grain growth of zirconia particles. $Al_2O_3$Ce-TZP doped with ceria and annealed at $1650^{\circ}C$ for 2 h showed irregular grain shapes as well as small grain size. Added alumina particles showed the grain growth during sintering or annealing, and they changed the position from grain boundary to inside of the grains during the annealing. The specimens with normal grain shapes showed an intergranular fracture mode, whereas the specimens with irregular grain shapes showed a transgranular fracture mode during the crack propagation.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.59-59
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• 2019

최근 기후변화로 인해 대류성 집중호우가 빈번하게 발생하고 있으며, 이러한 강우 특성은 산지지역에 위치한 소하천유역에 상당한 피해를 야기한다. 대류성 집중호우는 규모가 작고 속도가 빠르기 때문에 중규모 이상의 유역에서 부분적으로 상이한 강우특성을 보인다. 아울러 이러한 호우패턴의 변화는 일시적인 현상이 아닌 하나의 기상 특성으로 자리를 잡아가고 있기 때문에 이에 대한 대책마련이 더욱 필요한 실정이다. 돌발홍수 예경보시스템에 예측강우 자료는 예측 선행시간의 한계를 가진다. 즉, 예측강우 자료자체가 가지는 편의와 불확실성으로 인해 예측 선행시간이 3시간을 초과하면 신뢰도가 급격히 하락하게 된다. 이를 해결하기 위해 우리나라에서는 지상관측치와의 편의를 보정하거나 예측강우자료 자체의 품질을 개선하려는 노력을 지속하고 있다. 본 연구에서는 예측 선행시간을 확장하고자 순차적으로 생산되는 예측강우를 가중평균하여 앙상블 예측치를 모의하는 기법을 개발하였다. 각 선행시간별 예측강우자료를 앙상블 멤버로 인식하여 이들의 공분산 구조를 파악하고, 분산과 공분산 수치를 이용하여 가중치를 결정하였다. 1, 2, 3시간 예측 선행시간에 대한 확장 가능성을 확인하고자 하였고, 최적의 앙상블 멤버 개수를 결정하여 적용 및 평가하였다. 본 연구에서는 2016년과 2017년에 발생한 주요 호우사상을 선정하고, 우리나라 전역에 걸쳐 예측강우 앙상블 생성 방법론을 적용하였다. 그 결과, 가중평균 앙상블의 예측치가 예측강우장 1개, 단순평균 앙상블 예측치에 비해 좋은 품질의 예측 성능을 보였으며, 예측치의 분산 또한 감소하여 예측에 대한 불확실성이 줄어듦을 확인하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.9
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• pp.5585-5593
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• 2014

This study tested the hypothesis that the significance of the heterogeneous dispersion parameter in safety performance function (SPF) used to estimate the expected crashes is affected by the endogenous heterogeneous prior distributions, and analyzed the impacts of the mis-specified dispersion parameter on the evaluation results for traffic safety countermeasures. In particular, this study simulated the Poisson means based on the heterogeneous dispersion parameters and estimated the SPFs using both the negative binomial (NB) model and the heterogeneous negative binomial (HNB) model for analyzing the impacts of the model mis-specification on the mean and dispersion functions in SPF. In addition, this study analyzed the characteristics of errors in the crash reduction factors (CRFs) obtained when the two models are used to estimate the posterior means and variances, which are essentially estimated through the estimated hyper-parameters in the heterogeneous prior distributions. The simulation study results showed that a mis-estimation on the heterogeneous dispersion parameters through the NB model does not affect the coefficient of the mean functions, but the variances of the prior distribution are seriously mis-estimated when the NB model is used to develop SPFs without considering the heterogeneity in dispersion. Consequently, when the NB model is used erroneously to estimate the prior distributions with heterogeneous dispersion parameters, the mis-estimated posterior mean can produce large errors in CRFs up to 120%.

• Journal of Soil and Groundwater Environment
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• v.8 no.3
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• pp.1-7
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• 2003

A modified model was developed for solute transport in porous media that can consider the movement of an LNAPL above the water table. From the results of sensitivity analyses with and without considering LNAPL movement, there are some differences according to the hydraulic gradient, the quantity of oil leakage and dispersivity. The mean deviation between the model in this study and a conventional model without LNAPL movement increases as the hydraulic gradient decreases and the quantity of oil leakage increases. Variation of dispersivity has no influence on the magnitude of the mean deviation. However, the spatial distribution of the deviation between the two models is wider as dispersivity increases. Furthermore, groundwater is at high risk of contamination in the vertical direction in the case that transverse dispersion value is large. A conventional model underestimates the concentration of solute in an aquifer where the movement of an LNAPL cannot be negligible: Based on the study results, it is important to understand how fast the LNAPL moves on the water table for realistic prediction of solute transport in an aquifer with the movable LNAPL on the water table.

• Journal of the Institute of Convergence Signal Processing
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• v.14 no.4
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• pp.243-248
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• 2013

In wireless sensor networks, consensus algorithms for dynamic systems may flexibly usable for their data fusion of a sensor network. In this paper, a distributed data fusion filter is implemented using an average consensus based on distributed sensor data, which is composed of some sensor nodes and a sink node to track the mean values of n sensors' data. The consensus filter resolve the problem of data fusion by a distribution Kalman filtering scheme. We showed that the consensus filter has an optimal convergence to decrease of noise propagation and fast tracking ability for input signals. In order to verify for the results of consensus filtering, we showed the output signals of sensor nodes and their filtering results, and then showed the result of the combined signal and the consensus filtering using zeegbee communication.

• Journal of Digital Convergence
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• v.10 no.9
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• pp.357-362
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• 2012

We have compared and predicted for non-linear time series data which are real data having different variences using GRCA(1) model and neural network method. In particular, using Korea Composite Stock Price Index rate, mean square errors of prediction are obtained in genaralized random coefficient autoregressive model and neural network method. Neural network method prove to be better in short-term forecasting, however GRCA(1) model perform well in long-term forecasting.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.13 no.6
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• pp.538-545
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• 2002

In the orthogonal frequency division multiplexing (OFDM) system, the nonlinear distortion in the high power amplifier(HPA) degrades the system performance because of the high peak-to-average power ratio (PAPR). In this paper, a semi-analytical method is newly proposed for the performance evaluation of the nonlinearly distorted OFDM communication system. In the proposed method, at first, the probability density function (pdf) of the PAPR is generated by computer simulation. Then, mean and variance of the non-linear distortion noise process are computed. Next, the overall BER is found by the analytical method. When the equivalent SSPA model is applied in case of the QPSK/16-QAM and AWGN channel, the BER is calculated for the variation of the IBO(input back-off) and PAPR parameter. It is shown that the results by proposed method are very similar to those of the conventional Monte-Carlo method. The computation time can be considerably reduced than the conventional method that depends on the magnitudes of BER and IBO.