• 한국농공학회지
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• 제41권6호
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• pp.44-53
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• 1999

The statistical characteristics of the factors related to the daily rainfall prediction model are analyzed . Records of daily precipitation, mean air temperature, relative humidity , dew-point temperature and air pressure from 1973∼1998 at 8 meteorological sttions in south-western part of Korea were used. 1. Serial correlatino of daily precipitaiton was significant with the lag less than 1 day. But , that of other variables were large enough until 10 day lag. 2. Crosscorrelation of air temperature, relative humidity , dew-point temperature showed similar distribution wiht the basin contrours and the others were different. 3. There were significant correlation between the meteorological variables and precipitation preceded more than 2 days. 4. Daily preciption of each station were treated as a truncated continuous random variable and the annual periodic components, mean and standard deviation were estimated for each day. 5. All of the results could be considered to select the input variables of regression model or neural network model for the prediction of daily precipitation and to construct the stochastic model of daily precipitation.

• 대한안전경영과학회지
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• 제8권3호
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• pp.171-187
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• 2006

Modern management considers customer satisfaction as a baseline standard of performance and a possible standard of excellence for any business organization including the college. Quality function deployment(QFD) is a structured approach to seek out voice of customers, understanding their needs, and ensure that their needs are met. The strategy value proposed by Chien et al. combines importance, satisfaction, performance, and ability to enhance decision making effectiveness. But in their model, the correlation among the strategic alternatives isn't considered the decision chain and is therefore eliminated. This paper proposes how to calculate the new weight of columns to consider various strength levels of correlations matrix, representing the correlation among the strategic alternatives, using normalization procedure. The aim of this paper is to present and original customer satisfaction survey conducted in the college. Thus, this paper presents an original customer satisfaction survey in the college and provides to demonstrate the practical usage of the design model to compare this model with Chien's model.

• Bulletin of the Korean Chemical Society
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• 제20권11호
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• pp.1288-1294
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• 1999

We show that Shaw's optimized nonlocal model potential (OMP) in combination with the perturbative hyper-netted-chain equation for pair correlation functions can be successfully applied to predict pair structures of compressed and expanded liquid rubidium. For compressed rubidium, it is possible to apply the OMP to a state for which the model radius is even close to the Wigner-Seitz radius. In addition, our results are parallel to those from Chihara and Kahl's quantal hypernetted-chain equation in that it supports the uniform compression model up to 6.1 GPa. Calculation also shows that the pair structure is relatively insensitive to the choice of the exchange-correlation function for the electron liquid. Discussions are also given for compressed and expanded cesium.

• 한국BIM학회 논문집
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• 제9권1호
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• pp.22-31
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• 2019

In this paper, we construct a prototype model for city data prediction by using time series data of floating population, and use machine learning to analyze urban data of complex structure. A correlation prediction model was constructed using three of the 10 data (total flow population, male flow population, and Monday flow population), and the result was compared with the actual data. The results of the accuracy were evaluated. The results of this study show that the predicted model of the floating population predicts the correlation between the predicted floating population and the current state of commerce. It is expected that it will help efficient and objective design in the planning stages of architecture, landscape, and urban areas such as tree environment design and layout of trails. Also, it is expected that the dynamic population prediction using multivariate time series data and collected location data will be able to perform integrated simulation with time series data of various fields.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.30-37
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• 2022

Because fine dust (PM10) has a close effect on the environment, fine dust generated in the climate and living environment has a bad effect on the human body. In this study, the LSTM model was applied to predict and analyze the effect of fine dust on Gwangju Metropolitan City in Korea. This paper uses prediction values of input variables selected through correlation analysis to confirm fine dust prediction performance. In this paper, data from the Gwangju Metropolitan City area were collected to measure fine dust. The collection period is one year's worth of data was used from january to December of 2021, and the test data was conducted using three-month data from January to March of 2022. As a result of this study, in the as a result of predicting fine dust (PH10) and ultrafine dust (PH2.5) using the LSTM model, the RMSE was 4.61 and the test result value was as low as 4.37. This reason is judged to be the result of the contents of the one-year sample.

• 가정과삶의질연구
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• 제34권4호
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• pp.37-49
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• 2016

The purpose of this study was to examine the mediating effect of inner resilience and external resilience on the relationship between the job stress of early childhood education teachers and their teaching flow. Data were collected through questionnaires from 221 early childhood Korean teachers in the InCheon area. The instruments used in this study were the Kindergarten Teachers' Job Stress Scale, Early Childhood Teachers' Resilience Scale, and Teaching Flow Scale. The data were analyzed by Pearson's correlation analysis, multiple regression analysis, and Baron and Kenny's method. It was adapted to SPSS ver. 18.0 for Windows. This study followed a mediated effect model. First, there was a negative correlation between the job stress and teaching flow. There was a positive correlation between the teaching flow and the resilience. Secondly, there was a negative correlation with job stress and teaching flow in path model 1. In path model 2, there was a positive correlation with resilience and teaching flow. Teaching flow was statistically and significantly influenced by resilience. Thirdly, there was the mediating effect of inner resilience and external resilience on the relationship between the job stress of early childhood education teachers and their teaching flow. These results can be used as the basic data for the improvement of early childhood education teachers' teaching flow in the future.

• 한국구조물진단유지관리공학회 논문집
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• 제21권1호
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• pp.23-29
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• 2017

이 연구에서는 유체저장탱크의 내진 설계 고도화에 활용하기 위하여 정사각형 수조의 슬러싱 진동대실험에 대한 상관해석을 수행하였다. 이를 위하여 CFD 프로그램인 ANSYS CFX를 이용하였다. CFD 해석 프로그램 검증을 위해 슬러싱 공진이 발생하는 운동에 대한 해석모델의 요소크기 및 난류모델에 대한 슬러싱응답의 민감도해석을 수행하였다. 그 결과, 수직방향 요소크기 뿐만 아니라 수평방향 요소크기에 따라 수위 예측에 민감한 영향을 미치는 것을 알 수 있었다. 또한, SST 난류모델을 사용한 CFD해석 결과가 실험 결과와 매우 잘 일치하는 것을 알 수 있었다. 이로부터 결정된 CFX 해석모델을 사용하여, 가진 주파수와 가진 진폭이 다른 3가지 실험 결과에 대하여 상관해석을 수행하였다. 그 결과, CFD해석모델을 사용하여 지진해석을 수행할 경우, 슬러싱응답이 실험 결과와 매우 잘 일치하는 것을 알 수 있었다.

• Spatial Information Research
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• 제20권5호
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• pp.49-56
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• 2012

최근 건물정보를 다루는 BIM(Building Information Modeling)과 공간정보를 다루는 GIS(Geographic Information System) 간의 연계 또는 통합을 시도하는 다양한 연구가 이루어지고 있다. 특히, BIM의 표준 데이터모델인 IFC(Industry Foundation Classes)와 GIS 표준 데이터모델인 CityGML 간의 변환에 대한 연구가 시도되었지만, 두 데이터의 특성과 사용목적이 많이 달라서 그 연구결과를 활용하기에는 아직 미미한 실정이다. 이에 본 연구에서는 BIM과 GIS의 상호연계의 가능성을 파악하기 위하여 IFC와 CityGML의 LOD(Level of Detail)별 객체 간의 특성을 분석하였으며, 이러한 분석 내용을 바탕으로 빌딩 관점에서 IFC와 CityGML의 객체 간의 매핑을 수행함으로써 IFC와 CityGML 간의 연관성을 분석하였다. 이러한 연관성 분석 결과를 기반으로 본 연구에서는 IFC와 CityGML 간의 좀 더 효율적인 연계방안을 제시하였다.

• Nuclear Engineering and Technology
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• 제54권12호
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• pp.4798-4808
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• 2022

The porous corrosion deposits (known as CRUD) adhered to the cladding have an important effect on the heat transfer from fuel rods to coolant in PWRs. The vapor film is the main constituent in the two-phase film boiling model. This paper presents a vapor film thickness correlation, associated with CRUD porosity, CRUD chimney density, CRUD particle size, CRUD thickness and heat flux. The dependences of the vapor film thickness on the various influential factors can be intuitively reflected from this vapor film thickness correlation. The temperature, pressure, and boric acid concentration distributions in CRUD can be well predicted using the two-phase film boiling model coupled with the vapor film thickness correlation. It suggests that the vapor thickness correlation can estimate the vapor film thickness more conveniently than the previously reported vapor thickness calculation methods.

• 물과 미래
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• 제26권4호
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• pp.85-95
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• 1993

본 연구의 목적은 도시소유역에서의 부족한 유량 및 NPS 오염물 자료의 확충과 이를 통한 유출과 NPS 오염물 배출 간의 상관관계의 분석 및 월, 년 NPS 부하량 산정에 의한 물질수지의 분석에 있다. 본 연구를 위한 자료의 확충을 위해서 미국 EPA의 SWMM 모형을 사용하였으며, 상관관계의 분석 및 물질수지의 분석은 NPS 오염에 가장 영향이 큰 선행괘천기간을 긴 경우(CASE 1.)와 짧은 경우(CASE 2.)로 분리하여 수행하였으며, 연구 결과를 요약하면 다음과 같다. 1) 사상별 시간자료의 분석 : CASE 1.과 CASE 2. 모두, 유량과 농도간의 상관관계 보다는 유량과 부하량간의 상관관계가 좋았으며, 선형 상관관계보다는 비선형 상관관계가 좋았다. 결과적으로 두 CASE 모두 비유량-비부하율 관계는 비선형 산관관계가 가장 좋았다. 2) 사상별 총량자료의 분석 : CASE 1.은 비누적유량-비누적부하량의 선형상관관계가 CASE 2.는 비선형 상관관계가 좋았다. 3) 유역의 NPS 년비부하량 산정 결과, 년평균 단위 강우량당 비부하량은 CASE 1.이 CASE 2.보다 모든 오염물에서 약 2.5배였다. 4) 호우기와 갈수기의 NPS 오염물의 비교 결과, 갈수기의 CASE 1.의 비중이 훨씬 컸다. 5) NPS 년비부하량과 PS 년비부하량을 비교한 결과, NPS 오염물이 유역 및 하천의 오염에 상당히 기여함을 알 수 있었다.