• Journal of Korean Society of Coastal and Ocean Engineers
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• v.3 no.1
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• pp.1-13
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• 1991

A wave prediction model of DP type with shallow water effects is composed. An jntercomparison study of the deep water wave models has been made to clarify the capacity of this model which has source functions by Incur and propagation scheme by Gadd. It is shown that the growth rate of wave energy is rapid and. for asymmetrical wind fields. this model behaves well. In spite of various response pattern for the wind fields the energy distribution gives reasonable agreements with those of other models.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.4 no.2
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• pp.83-90
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• 1992

A wave prediction model of DP type with shallow water effects is presented. An intercom-parison study of the shallow water wave models has been made to verify applicability of this model which has source functions of Inoue, propagation scheme by Gadd and dissipation functions due to bottom friction. The energy distribution shows reasonable results and for the bottom friction JONS-WAP decay function seems to be more appropriate.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2001.11a
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• pp.231-232
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• 2001

도시지역의 주 오염물질 중 하나인 입자상 물질(Particulate Matter:PM)은 공기역학적 직경 2.5$\mu\textrm{m}$을 기준으로 이산형 분포를 하여 2.5$\mu\textrm{m}$이하를 미세입자, 2.5$\mu\textrm{m}$이상을 조대입자로 나뉜다. 이 미세입자는 주로 자동차 배출, 산업연소에서 배출되는 가스상 물질의 2차 반응으로 발생한다(Pope et al., 1995). 미세입자는 상당량이 2차 반응에서 생성되는 물질이며, 크기가 작은 대신 상대적으로 표면적이 크기 때문에 각종 중금속과 유해 대기오염물질과의 흡착이 용이하여 호흡기 계통의 질병을 일으킬 수 있는 확률이 조대입자에 비해 높다고 알려져 있어 인체에 미치는 영향이 클 것으로 시사되고 있다(Dockery et al., 1998). (중략)

• KSCE Journal of Civil and Environmental Engineering Research
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• v.14 no.3
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• pp.509-521
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• 1994

This study is an effort to develop computer simulation model that produce precipitation patterns from stochastic model. A stochastic model is formulated for the process of daily precipitation with considering the sequences of wet and dry days and the precipitation amounts on wet days. This study consists of 2 papers and the process of precipitation occurrence is modelled by an alternate renewal process (ARP) in paper (I). In the ARP model for the precipitation occurrence, four discrete distributions, used to fit the wet and dry spells, were as follows; truncated binomial distribution (TBD), truncated Poisson distribution (TPD), truncated negative binomial distribution (TNBD), logarithmic series distribution (LSD). In companion paper (II) the process of occurrence is developed by Markov chain. The amounts of precipitation, given that precipitation has occurred, are described by a Gamma. Pearson Type-III, Extremal Type-III, and 3 parameter Weibull distribution. Daily precipitation series model consists of two models, A-Wand A-G model, by combining the process of precipitation occurrence and a continuous probability distribution on the precipitation of wet days. To evaluate the performance of the simulation model, output from the model was compared with historical data of 7 stations in the Nakdong and Seomjin river basin. The results of paper (1) show that it is possible to design a model for the synthetic generation of IX)int precipitation patterns.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.383-383
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• 2012

전자소자 및 광전소자의 최적화 조건을 확립하기 위해 반도체 나노양자구조의 물리적 현상에 대한 연구가 활발히 진행되고 있다. 반도체 양자세선은 일차원 구조의 기초 물리 특성 관찰과 소자로서의 응용 가치가 높다. 양자세선을 사용한 단전자 트랜지스터, 공명터널 다이오드, 발광다이오드, 광탐지기 및 레이저 소자 제작과 관련한 연구가 활발히 진행 중에 있다. 나노양자구조들 중에서 양자우물과 양자점에 대한 실험적 및 이론적 연구가 많이 진행되었으나, 복잡한 공정 과정과 물리적 이론의 복잡함으로 양자세선에 대한 연구는 상대적으로 미흡하다. 양자세선을 이용한 전자소자와 광전소자의 효율을 증진하기 위해서는 양자세선의 전자적 성질에 대한 연구가 중요하다. 본 연구에서는 InAs/InP 양자세선에 대한 기저상태와 여기상태의 전하분포, 부띠천이 및 전자적 성질을 고찰하였다. 가변 메시 유한 차분법을 이용하여 양자세선의 이산적 모델을 확립하여 변형효과가 양자세선 구조에서 부띠에 영향을 주는지 조사하였다. 변형효과와 비포물선효과를 고려한 슈뢰딩거 방정식을 사용하여 변형 포텐셜을 계산하였으며 양자세선의 포텐셜 변화를 관찰하였다. 양자세선의 포텐셜 변화에 따라 전하구속분포, 에너지 준위 및 파동 함수를 계산하였다. 기저상태의 부띠 간에 발생하는 천이와 여기상태의 부띠 간에 발생하는 부띠 간의 엑시톤 천이 에너지 값을 계산하였다. 계산한 부띠 에너지 천이 값이 광루미네센스로 측정한 엑시톤 천이와 잘 일치하였다. 이 결과는 양자세센의 이차원적인 전자적 구조를 이해하고 양자세선을 사용하여 제작된 전자소자 및 광전소자의 전자적 성질을 연구하는데 도움을 주며, 저전력 나노양자소자를 제작하는 기초지식을 제공하는 중요한 역할을 할 것이다.

• Journal of Korea Water Resources Association
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• v.52 no.11
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• pp.887-894
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• 2019

We proposed a GPU (Grapic Processing Unit) accelerated kinematic wave model for rainfall runoff simulation and tested the accuracy and speed up performance of the proposed model. The governing equations are the kinematic wave equation for surface flow and the Green-Ampt model for infiltration. The kinematic wave equations were discretized using a finite volume method and CUDA fortran was used to implement the rainfall runoff model. Several numerical tests were conducted. The computed results of the GPU accelerated kinematic wave model were compared with several measured and other numerical results and reasonable agreements were observed from the comparisons. The speed up performance of the GPU accelerated model increased as the number of grids increased, achieving a maximum speed up of approximately 450 times compared to a CPU (Central Processing Unit) version, at least for the tested computing resources.

• Journal of Korea Water Resources Association
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• v.41 no.9
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• pp.895-905
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• 2008

To analyze hydrologic processes in a watershed requires both various geographical data and hydrological time series data. Recently, not only geographical data such as DEM(Digital Elevation Model) and hydrologic thematic map but also hydrological time series from numerical weather prediction and rainfall radar have been provided as grid data, and there are studies on hydrologic analysis using these grid data. In this study, GRM(Grid based Rainfall-runoff Model) which is physically-based distributed rainfall-runoff model has been developed to simulate short term rainfall-runoff process effectively using these grid data. Kinematic wave equation is used to simulate overland flow and channel flow, and Green-Ampt model is used to simulate infiltration process. Governing equation is discretized by finite volume method. TDMA(TriDiagonal Matrix Algorithm) is applied to solve systems of linear equations, and Newton-Raphson iteration method is applied to solve non-linear term. Developed model was applied to simplified hypothetical watersheds to examine model reasonability with the results from $Vflo^{TM}$. It was applied to Wicheon watershed for verification, and the applicability to real site was examined, and simulation results showed good agreement with measured hydrographs.

• Journal of the Korea institute for structural maintenance and inspection
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• v.23 no.6
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• pp.120-131
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• 2019

Recently, the level of fine dust and ultrafine dust has reached its highest level, threatening the public's health. If the air purifier was not operated indoors, natural ventilation would not be possible. In this study, photocatalyst is applied to building materials to purify air in a passive manner. In order to use photocatalyst for LEFC(Light Emotion Friendly Concrete), it is necessary to secure self-consolidating capability. Therefore, self-consolidating performance was evaluated by slump test, J-ring test and L-box test with UHPC materials applied. Based on these results, the mixture proportion was determined, and the mechanical performance was evaluated by compressive and flexural tests. Concrete blocks were constructed with a fabrication method that improved the existing process of making LEFC. Also, the concrete block was emptied as a way to reduce the use of expensive photocatalyst. Finally, in order to identify the distribution of TiO₂, an EDS analysis was performed.

• The Journal of the Korea Contents Association
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• v.13 no.7
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• pp.361-368
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• 2013

This research aims to offer the information required for demand increase on marketing strategy level by investigating Mudeungsan visitors' demographic characteristics and social economical variables. To accomplish this study, the proper analyzing model needs to be applied because a grave error of parameters will be led if regression model appropriate for analyzing the data of a continuous probability variable is applied, in case that dependent variable is a discrete random variable which have a discrete probability distribution. Therefore data analysis was performed with Poisson model. However, as the data was showing an overdispersion, parameter was estimated with the Binomial Poisson model able to cover the problem. As a result, some explanatory variables turned out to be significant such as visitor's age, occupation, preferred season to visit, type of company, five days working, and preferring type of tourism. Author could offer to the national park the information about characteristics of core market revealed and marketing strategy for it, based on those influential variables.

• Communications for Statistical Applications and Methods
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• v.19 no.3
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• pp.433-450
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• 2012

As a worker performs a certain operation repeatedly, he tends to become familiar with the job and complete it in a very short time. That means that the efficiency is improved due to his accumulated knowledge, experience and skill in regards to the operation. Investing time in an output is reduced by repeating any operation. This phenomenon is referred to as the learning curve effect. A learning curve is a graphical representation of the changing rate of learning. According to previous literature, learning curve effects are determined by subjective pre-assigned factors. In this study, we propose a new statistical model to clarify the learning curve effect by means of a basic cumulative distribution function. This work mainly focuses on the statistical modeling of binary data. We employ the Newton-Raphson method for the estimation and Delta method for the construction of confidence intervals. We also perform a real data analysis.