• Journal of the Korea Society of Computer and Information
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• v.18 no.4
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• pp.19-26
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• 2013

Pseudo sample neural network (PSNN) is a variant of traditional neural network using pseudo samples to mitigate the local-optima-convergence problem when the size of training samples is small. PSNN can take advantage of the smoothed solution space through the use of pseudo samples. PSNN has a focus on the quantity problem in training, whereas, methods stressing the quality of training samples is presented in this paper to improve further the performance of PSNN. It is evident that typical samples and highly correlated features help in training. In this paper, therefore, kernel density estimation is used to select typical samples and correlation factor is introduced to select features, which can improve the performance of PSNN. Debris flow data set is used to demonstrate the usefulness of the proposed methods.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.6
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• pp.973-980
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• 2017

The purpose of this study is to develop VDFT (Visual Basic based Density-coupled Flow and Transport), a numerical modeling code used to simulate density coupled flow equations used to simulate seawater intrusion in a two dimensional finite difference method. The VDFT code has the advantage of being intuitive and simple to use and has the advantage of utilizing the EXCEL Visual Basic platform, which is widely used for general business purposes. Generally, code developed for numerical simulation can be verified through representative example models called benchmark problem. In this study, we verified the VDFT code using benchmark problem called Henry Problem and Modified Henry Problem as well as two laboratory test data. The results of this study are analyzed the importance of each benchmark problems, validated VDFT code compared to those problems. In conclusion, the possibility of using VDFT code is diagnosed and the direction of future research is suggested.

• Journal of the Korean Society for Railway
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• v.19 no.3
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• pp.324-330
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• 2016

A magnetic contactor is a switching device widely used for electric circuits. For the operation of magnetic contactors, magnetic coils are essential; these coils create and interrupt the electric circuit. In this paper, the finite element analysis model was developed to reflect the experimental data, and was verified through alteration of the applied voltages and the numbers of turns. Effects of electromagnetic force on the geometrical variations of the facing poles for fixed and moving cores of two magnet coils were investigated. In addition, effects of slope and air gap size between two facing poles on the electromagnetic force were explored through the distribution of the magnetic flux density in the magnetic coils of a push-type solenoid. Through this analysis, the characteristics of the electromagnetic force against the facing poles were explored.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.42 no.11
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• pp.937-946
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• 2014

This paper presents system identification of a single tilt wing UAV. A Modified Equation Error Method(MEEM) and Extended Kalman Filter(EKF) are used for the identification of a single tilt wing UAV system in frequency-domain and time-domain, respectively. Simulated flight data is obtained from CNUX-3's vertical mode linear simulation with realistic sensor noise. System identification performance is analyzed with respect to a variety of design parameters of the MEEM. Also, High accuracy Fourier Transform(HFT) is applied to enhance the performance of MEEM. The results of the MEEM is compared with those of the EKF. Design parameters of the MEEM and initial conditions of the EKF are decided from optimization.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.3
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• pp.13-18
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• 2015

This paper proposes an optimum vision system analysis and a reliable high-precision positioning system that converges a GNSS and a vision system in order to resolve position error and outdoor shaded areas two disadvantages of GNSS. For location determination of the object, it should receive signal from at least four GNSS. However, in urban areas, exact location determination is difficult due to factors like high buildings, obstacles, and reflected waves. In order to deal with the above problem, a vision system was employed. First, determine an exact position value of a target object in urban areas whose environment is poor for a GNSS. Then, identify such target object by a vision system and its position error is corrected using such target object. A vehicle can identify such target object using a vision system while moving, make location data values, and revise location calculations, thereby resulting in reliable high precision location determination.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1155-1168
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• 2016

This paper considers a probability density estimation problem of climate values. In particular, we focus on estimating probability densities of summer extreme temperature over South Korea. It is known that the probability density of climate values at one location is similar to those at near by locations and one doesn't follow well known parametric distributions. To accommodate these properties, we use a mixture of conditional autoregressive species sampling model, which is a nonparametric Bayesian model with a spatial dependency. We apply the model to a dataset consisting of summer maximum temperature and minimum temperature over South Korea. The dataset is obtained from University of East Anglia.

• Journal of the Korean Applied Science and Technology
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• v.34 no.4
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• pp.1112-1120
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• 2017

Petroleum products are composed of various types of hydrocarbon compounds. Like other types of liquids, they presented the variation of density and volume according to temperature change. The method of measuring the density of petroleum products in a liquid phase is based on experimental data obtained mainly for each fractionally distilled petroleum product. In this study, the density and volume changes of kerosene and automotive diesel according to temperature change were measured and the property of change were analyzed. The conversion values were calculated using the density volume conversion table proposed by international standard ASTM. In addition, we analyzed the differences between the reference values and the measured values for the temperature changes specified in the domestic metering law.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.2
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• pp.133-141
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• 2021

The probe vehicle penetration rate is a required parameter in the estimation of entire volume, density, and queue length from probe vehicle data. The previous studies have proposed estimation methods without point detectors, which are based on probability structures for the locations of probe and non-probe vehicles; however, such methods are poorly suited to the case of multi-lane streets. Therefore, this study aimed to estimate the probe vehicle penetration rate at a multi-lane intersection and introduce a probability distribution of the queue length of each lane. Although a gap between estimates and observations was found, the estimates followed the trend of observations; the estimation could be improved by the correction factor hereafter. This study is expected to be used as a basic study for the estimation of entire volume, density, and queue length at multi-lane intersections without point detectors.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.4
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• pp.1-11
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• 2019

The purpose of this study is to determine urban walking tourists' spatiotemporal movement densities and the stopping characteristics by season. With the Bukchon Hanok Village in Seoul, as the study site, a GPS-based smartphone application collected spatiotemporal data, and GIS and statistical methods were used to analyze the urban walking tourists' spatiotemporal activities in the spring and summer. The results show that the moving and staying variables of urban walking tourists differ significantly by season. In addition, spatiotemporal movement densities and stopping characteristics using ArcGIS's tools show clear spatial and temporal concentrations along the main access roads and commercial areas of the study site in the spring and summer. Policy-makers and developers of urban walking tours should use these spatiotemporal concentrations of walking tourists to define policies that would control the capacities of urban walking areas and distribute tourists spatially and temporally.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.524-524
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• 2023

하천 내 식생의 분포는 흐름저항의 증가와 수위상승에 큰 영향을 미치는 요소 중 하나이다. 동일한 단면정보를 가졌더라도 식생이 분포하는 하도는 식생이 없는 하도에 비해 흐름저항으로 인해 유속이 현저히 느려져 홍수위 상승을 유발하기 때문이다. 따라서 식생의 종류, 크기, 분포 형태, 잎의 밀도 등에 따라 흐름저항계수를 정량화하며 흐름을 정확히 예측하는 것이 필요하다. 본 연구에서는 2019년 한국건설기술연구원 하천실험센터에서 진행된 식생하도에 대한 실규모 실험의 조건과 지형정보를 HEC-RAS(Hydrologic Engineering Center's River Analysis System) 1차원 수치모형에 입력하고, 식생 패치의 분포를 고려한 Manning's n의 공간적 분포 및 적용방식에 따른 수면 경사 재현 정확도에 대한 민감도 분석을 수행하였다. 실험은 상단 폭 11 m, 경사 1:2(V:H)의 사다리꼴 단면을 가진 실규모 수로에서 70 m 길이의 구간을 대상으로 진행되었다. 실험 구간 내 6개의 압력식 수위계를 설치해 수위 측정 및 수면 경사 산정을 실행하였다. 실험 조건으로 적용된 인공 식생패치의 분포 및 밀도 조건은 3가지로 큰 패치와 작은 패치로 구성된 조밀한 조건, 단일 패치로 구성된 조밀한 조건, 단일 패치로 구성된 성긴 조건이었으며, 모두 정수(emergent)상태로 진행되었다. 적용된 패치의 형상은 내성천에서 조사된 자연 형태의 식생패치 형태를 참고하였으며, 버드나무 종을 모사하였다. 실험 조건에 따라 유량은 각각 평균 1.5 cms와 2.7 cms로 공급하였으며, 평균 수심은 약 1 m로 측정되었다. 위 실험 내용을 바탕으로 수치모의를 위한 경계조건과 지형정보를 수립하였으며 모의 케이스는 크게 두 가지로, 수로 내 식생의 분포를 종방향으로 고려한 케이스와 횡방향으로 고려하여 조도계수를 적용한 케이스로 분류하였다. 모의에 적용된 조도계수는 실험에서 획득한 데이터와 베르누이 방정식을 활용하여 산정되었으며, 두 케이스에 대한 모의 결과는 실험에서 관측된 수위와 비교하였다. 본 연구에 따르면 여러 개의 식생패치가 정수상태로 존재하는 하천에 대한 1차원 수치모의 시 식생의 분포를 종방향으로 고려하여 하나의 구간조도계수를 적용하는 방식이 종횡단면의 식생패치 위치를 고려한 조도계수를 세분화하여 적용하는 방식에 비해 수위 계산 정확도가 상대적으로 높은 것으로 나타났다.