• 대한토목학회논문집
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• 제14권5호
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• pp.1177-1189
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• 1994

본 논문은 충적하천에서 수로의 양상조건에 따른 유사 및 흐름특성을 해석함으로써 수로의 변이를 예측할 수 있는 수치모형을 개발하기 위한 연구이다. 하천의 흐름은 하상 및 제방재료 특성과의 상호작용에 의해 복잡한 관계를 이루면서 수로변이를 통하여 형태학적으로 안정적인 형상을 유지하고 흐르기 때문에 대부분의 경우 직선형수로는 드물고 사행 또는 망류상을 이루고 있다. 본 연구에서는 수로변이를 모의할 수 있는 모형을 개발하기 위해 수로중심선 곡률반경 $r_c$값의 양과 음의 부호수에 따라 수로를 구분 즉, $r_c$의 양 또는 음의 값이 하나 만으로 이루어진 단만곡수로(single-bend channel)와 양과 음이 둘 이상의 값을 갖는 복만곡수로(multi-bend channel)로 구분하여 이들 수로에서의 편수위상승, 나선운동, 하상 및 수심평균유속의 불규칙 현상의 영향에 의한 유사이동과 흐름특성을 해석한다. 단만곡수로는 타 _모형의 실험자료와 복만곡수로는 금강의 매포수위관측소를 시점으로하는 연구구간에서 실측치 현장자료와 비교분석함으로써 본 모형의 적용성을 검증하였으며, 그 결과는 대체로 잘 일치하는 것으로 나타났다.

• 대한의용생체공학회:의공학회지
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• 제43권5호
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• pp.331-340
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• 2022

Early afterdepolarization (EAD), a significant cause of fatal ventricular arrhythmias including Torsade de Pointes (TdP) in long QT syndromes, is a depolarizing afterpotential at the plateau or repolarization phase in action potential (AP) profile early before completing one pace. AP duration prolongation is related to EAD but is not necessarily accounted for EAD. Several computational studies suggested EAD can form from an abnormality in the late plateau and/or repolarization phase of AP shape. In this sense, we hypothesized the slope during repolarization has the characteristics to predict TdP risk, mainly focusing on the maximum slope during repolarization (dVm/dt_{max_repol}). This study aimed to predict the sensitivity of dVm/dt_{max_repol} to ion channel conductances as a TdP risk metric through a population simulation considering multiple effects of simultaneous reduction in six ion channel conductances of g_NaL, g_Kr, g_Ks, g_to, g_K1, and g_CaL. Additionally, we verified the availability of dVm/dt_{max_repol} for TdP risk prediction through the correlation analysis with qNet, the representative TdP metric. We performed the population simulations based on the methodology of Gemmel et al. using the human ventricular myocyte model of Dutta et al. Among the sixion channel conductances, dVm/dt_{max_repol} and qNet responded most sensitively to the change in g_Kr, followed by g_NaL. Furthermore, dVm/dt_{max_repol} showed a statistically significant high negative correlation with qNet. The dVm/dt_{max_repol} values were significantly different according to three TdP risk levels of high, intermediate, and low by qNet (p<0.001). In conclusion, we suggested dVm/dt_{max_repol} as a new biomarker metric for TdP risk assessment.

• 한국방재학회 논문집
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• 제9권1호
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• pp.115-121
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• 2009

섬진강 하류의 하상변동 특성 분석 및 하상변동을 예측함으로서, 하도 및 유역관리에 효과적으로 이용하도록 하였다. 하상변동 특성 분석에 필요한 자료(단면, 하상구성물질, 기점수위, 조도계수 등)는 섬진강하천정비기본계획에서 실측 및 분석한 것을 활용하였다. 또한 하상변동 예측은 HEC-6 모형으로 수행하였다. 본 연구의 주요 연구 결과를 요약하면 다음과 같다. 섬진강 하류 하상변동의 주요인은 수문인자의 변화에 따른 것이라기보다는 과도한 하상골재 채취 때문으로 판단된다. 마찰속도와 대표 입경의 관계와 무차원소류력과 대표입경의 관계를 토대로 하도안정성을 정성적으로 분석한 결과 섬진강 하류 하상은 대부분의 구간에서 상승하는 경향을 나타내고 있다. 섬진강 하도의 대부분의 지점에서 2003년의 하상구성물질은 1989년에 비해 자갈의 구성비가 높아지고 모래의 구성비가 작아졌다. 하상변동을 예측한 결과 섬진강 하류의 하상은 하구에서 약 9 km 지점까지 1.5 m 내외로 상승하고, $9{\sim}21\;km$ 구간은 1 m 내외로 상승과 저하가 반복되며, $22{\sim}25\;km$ 구간은 0.5 m 내외로 하강할 것으로 예상된다. 이러한 결과로 볼 때 섬진강 하류 구간의 하상은 대체로 점점 상승할 것으로 판단된다. 다만, 본 연구의 하상변동 예측은 인위적인 골재채취가 없다는 가정 하에 수행된 것이므로, 과거와 같이 하상에서 대규모 골재채취가 진행되면 본 연구의 예측 결과와는 상이하게 하상이 저하되는 결과를 초래할 것이다.

• 대기
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• 제15권1호
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• pp.35-46
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• 2005

Today, the outreach of National Meteorological Service such as PC cluster based Numerical Weather Prediction (NWP) technique is vigorous in the world wide. In this regard, WMO (World Meteorological Organization) asked KMA (Korea Meteorological Administration) to formulate a regional project, which cover most of RA II members, using similar technical system with KMA's. In that sense, Meteorological Research Institute (METRI) in KMA developed Mongolian NWP System (MNWPS) based on PC cluster and transferred the technology to Weather Service Center in Mongolia. The hybrid parallel algorithm and channel bonding technique were adopted to cut cost and showed 41% faster performance than single MPI (Message Passing Interface) approach. The cluster technique of Beowulf type was also adopted for convenient management and saving resources. The Linux based free operating system provide very cost effective solution for operating multi-nodes. Additionally, the GNU software provide many tools, utilities and applications for construction and management of a cluster. A flash flood event happened in Mongolia (2 September 2003) was selected for test run, and MNWPS successfully simulated the event with initial and boundary condition from Global Data Assimilation and Prediction System (GDAPS) of KMA. Now, the cluster based NWP System in Mongolia has been operated for local prediction around the region and provided various auxiliary charts.

• 대기
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• 제24권4호
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• pp.491-502
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• 2014

As a part of the KIAPS (Korea Institute of Atmospheric Prediction Systems) Package for Observation Processing (KPOP), we have developed the modules for Advanced Microwave Sounding Unit-A (AMSU-A) pre-processing and its bias correction. The KPOP system calculates the airmass bias correction coefficients via the method of multiple linear regression in which the scan-corrected innovation and the thicknesses of 850~300, 200~50, 50~5, and 10~1 hPa are respectively used for dependent and independent variables. Among the four airmass predictors, the multicollinearity has been shown by the Variance Inflation Factor (VIF) that quantifies the severity of multicollinearity in a least square regression. To resolve the multicollinearity, we adopted simple linear regression and Principal Component Regression (PCR) to calculate the airmass bias correction coefficients and compared the results with those from the multiple linear regression. The analysis shows that the order of performances is multiple linear, principal component, and simple linear regressions. For bias correction for the AMSU-A channel 4 which is the most sensitive to the lower troposphere, the multiple linear regression with all four airmass predictors is superior to the simple linear regression with one airmass predictor of 850~300 hPa. The results of PCR with 95% accumulated variances accounted for eigenvalues showed the similar results of the multiple linear regression.

• 한국통신학회논문지
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• 제30권2A호
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• pp.26-33
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• 2005

무선 IP 망의 자원 예약 방식에서는 미래의 호가 요구하는 무선자원의 양을 정확히 예측함으로써 제한된 무선자원의 이용률을 높일 수 있다. 본 연구에서는 멀티미디어 무선 IP 망에서 미래의 핸드오프 호가 요구하는 무선자원(대역폭)의 양을 예측하는 LMS-Wiener 예측방법을 제안하고, 자원의 예측 오차양의 크기에 관해서 기존외 위너 모델링에 기초한 예측방법과 성능을 비교한다. 성능비교를 위한 트래픽 환경은 피코셀 구조의 무선 IP 망에서 장시간 호의 도착패턴이 일반적인 포아송 분포보다는 비포아송 분포를 보이므로, 핸드오프 호의 도착과정을 비 포아송 분포, 핸드오프 호의 채널 점유 시간도 비 지수 분포로 모델링 하였다. 시뮬레이션 결과 기존의 위너모델에 의한 방법에서는 예측시점이 경과함에 따라 예측 오차량의 크기가 증가하는 반면에 제안한 방법에서는 예측 오차량의 크기가 감소하는 수렴성을 보였다. 따라서 제안한 자원의 예측 방법이 기존의 방법보다 미래의 핸드오프 호가 필요로 하는 무선자원의 양을 상대적으로 정확히 예측함으로써, 필요이상의 과도한 자원의 예약으로 발생되는 무선자원의 낭비를 줄일 수 있음을 알 수 있다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회B
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• pp.2552-2557
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• 2007

Shape optimization of an internal cooling passage with staggered dimples on single surface is performed and performances of surrogates are evaluated in this paper. Optimizations are performed so that turbulent heat transfer can be enhanced compromising with pressure loss due to friction. The three-dimensional governing differential equations have been solved to find the overall Nusselt number and friction factor which are related to the objective functions of this problem. Three design variables were selected among the dimensionless geometric variables. Basic surrogate models such as second order polynomial response surface approximation (RSA), Kriging meta-modeling technique, radial basis neural network (RBNN), and derived press based averaged (PBA) surrogate model are constructed. The optimal points are searched from the above constructed surrogates by sequential quadratic programming (SQP). It is shown that use of multiple surrogates can increase the robustness in prediction of better design with minimum computational cost.

• The Journal of the Acoustical Society of Korea
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• 제15권2E호
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• pp.39-44
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• 1996

The performance of two-channel adaptive noise canceller is ofter degraded by the weights perturbation due to the speech signal. In this paper, an adaptive noise canceller employing a speech detector and two adaptation algorithms which are switched according to the speech detector is proposed. When highly correlated speech signal is detected, the tap weights of the adaptive filter are adapted by the sign algorithm. On the other hand, the weights are adapted by the NLMS algorithm when silence is detected or when the characteristics of the noise propagation channel is changed. The employed speech detector utilizes the power ratio of the input and the output of an adaptive linear prediction-error filter. According to the computer simulation, the proposed method yields better performance than conventional ones.

• Journal of Advanced Marine Engineering and Technology
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• 제25권3호
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• pp.581-587
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• 2001

Plate heat exchange(PHE) will be applied to the refrigeration and air conditioning systems as evaporators or condensers for their high efficiency and compactness. The purpose of this study is the analyze the characteristics of heat transfer and pressure drop of plate heat exchanger. Numerical work was conducted using the FLUENT code k-$\varepsilon$model. Also the dependence of heat transfer coefficient and friction factor on Reynolds number was investigated. As the Reynolds number increases, it is found that heat transfer coefficient also increases, but friction factor decreases. The study examines the internal flow, thermal distribution and the pressure distribution in the channel of plate heat exchanger. The results of CFD analysis compared with experimental data, and the difference of friction factor and Nusselt number in plate heat exchanger are 10% and 20%, respectively, Therefore the CFD analysis model is effective for the performance prediction of plate heat exchanger.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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• pp.588-590
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• 2006

Recently, many on-line approaches to instrument channel surveillance (drift monitoring and fault detection) have been reported worldwide. On-line monitoring (OLM) method evaluates instrument channel performance by assessing its consistency with other plant indications through parametric or non-parametric models. The heart of an OLM system is the model giving an estimate of the true process parameter value against individual measurements. This model gives process parameter estimate calculated as a function of other plant measurements which can be used to identify small sensor drifts that would require the sensor to be manually calibrated or replaced. This paper describes an improvement of auto-associative kernel regression by introducing a correlation coefficient weighting on kernel distances. The prediction performance of the developed method is compared with conventional auto-associative kernel regression.