• Environmental Analysis Health and Toxicology
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• 제29권
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• pp.12.1-12.8
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• 2014

Objectives Cohort studies of associations between air pollution and health have used exposure prediction approaches to estimate individual-level concentrations. A common prediction method used in Korean cohort studies is ordinary kriging. In this study, performance of ordinary kriging models for long-term particulate matter less than or equal to $10{\mu}m$ in diameter ($PM_{10}$) concentrations in seven major Korean cities was investigated with a focus on spatial prediction ability. Methods We obtained hourly $PM_{10}$ data for 2010 at 226 urban-ambient monitoring sites in South Korea and computed annual average $PM_{10}$ concentrations at each site. Given the annual averages, we developed ordinary kriging prediction models for each of the seven major cities and for the entire country by using an exponential covariance reference model and a maximum likelihood estimation method. For model evaluation, cross-validation was performed and mean square error and R-squared ($R^2$) statistics were computed. Results Mean annual average $PM_{10}$ concentrations in the seven major cities ranged between 45.5 and $66.0{\mu}g/m^3$ (standard deviation=2.40 and $9.51{\mu}g/m^3$, respectively). Cross-validated $R^2$ values in Seoul and Busan were 0.31 and 0.23, respectively, whereas the other five cities had $R^2$ values of zero. The national model produced a higher cross-validated $R^2$ (0.36) than those for the city-specific models. Conclusions In general, the ordinary kriging models performed poorly for the seven major cities and the entire country of South Korea, but the model performance was better in the national model. To improve model performance, future studies should examine different prediction approaches that incorporate $PM_{10}$ source characteristics.

• Journal of Electrical Engineering and Technology
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• 제8권3호
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• pp.421-427
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• 2013

The dependence between wind speeds in multiple wind sites has a considerable impact on the reliability of power systems containing wind energy. This paper presents a new method to generate dependent wind speed time series (WSTS) based on copulas theory. The basic feature of the method lies in separating multivariate WSTS into dependence structure and univariate time series. The dependence structure is modeled through the use of copulas, which, unlike the cross-correlation matrix, give a complete description of the joint distribution. An autoregressive moving average (ARMA) model is applied to represent univariate time series of wind speed. The proposed model is illustrated using wind data from two sites in Canada. The IEEE Reliability Test System (IEEE-RTS) is used to examine the proposed model and the impact of wind speed dependence between different wind regimes on the generation system reliability. The results confirm that the wind speed dependence has a negative effect on the generation system reliability.

• 한국농공학회지
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• 제44권4호
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• pp.85-98
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• 2002

The purpose of this study is to develop a land use planning model (LUPM) which can be applied to development of rural villages considering their spatial expansion. The LUPM finds out and allocates the new built site required for the improvement of existing villages. in the development of LUPM, CA (cellular automata) and land suitability analysis methods were applied combinedly. The model uses basically numerical data of CIS based on grid data. Agglomerated settlement, as a type of village for simulation, was adopted. Probability of land use change for optimizing development area was calculated by the six criteria: slope. drainage characteristic, direction of slope, as absolute suitability of grid itself, distance from road. distance from stream and distance from the village center, as relative probability by neighborhood cells. Weighting values of these criteria were quantified by AHP (analytic hierarchy process) method, which is one of MCE(multi-criteria evaluation) method. The algorithm of the model was verified by three example villages: an isolation village, a village with horizontal road, and a village with nodal point of cross road

• ETRI Journal
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• 제27권6호
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• pp.747-758
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• 2005

The problem of selection among competing models has been a fundamental issue in statistical data analysis. Good fits to data can be misleading since they can result from properties of the model that have nothing to do with it being a close approximation to the source distribution of interest (for example, overfitting). In this study we focus on the preference among models from a family of polynomial regressors. Three decades of research has spawned a number of plausible techniques for the selection of models, namely, Akaike's Finite Prediction Error (FPE) and Information Criterion (AIC), Schwartz's criterion (SCH), Generalized Cross Validation (GCV), Wallace's Minimum Message Length (MML), Minimum Description Length (MDL), and Vapnik's Structural Risk Minimization (SRM). The fundamental similarity between all these principles is their attempt to define an appropriate balance between the complexity of models and their ability to explain the data. This paper presents an empirical study of the above principles in the context of model selection, where the models under consideration are univariate polynomials. The paper includes a detailed empirical evaluation of the model selection methods on six target functions, with varying sample sizes and added Gaussian noise. The results from the study appear to provide strong evidence in support of the MML- and SRM- based methods over the other standard approaches (FPE, AIC, SCH and GCV).

• Journal of Radiation Protection and Research
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• 제41권2호
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• pp.123-131
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• 2016

Background: With the increase in the number of particle accelerator facilities under either operation or construction, the accurate calculation using Monte Carlo codes become more important in the shielding design and radiation safety evaluation of accelerator facilities. Materials and Methods: The calculations with different physics models were applied in both of cases: using only physics model and using the mix and match method of MCNPX code. The issued conditions were the interactions of 600 MeV proton and $290MeV{\cdot}n^{-1}$ oxygen with a carbon target. Both of cross-section libraries, JENDL High Energy File 2007 (JENDL/HE-2007) and LA150, were tested in this calculation. In the case of oxygen ion interactions, the calculation results using LAQGSM physics model and JENDL/HE-2007 library were compared with D. Satoh's experimental data. Other Monte Carlo calculations using PHITS and FLUKA codes were also carried out for further benchmarking study. Results and Discussion: It was clearly found that the physics models, especially intra-nuclear cascade model, gave a great effect to determine proton-induced secondary neutron spectrum in MCNPX code. The variety of physics models related to heavy ion interactions did not make big difference on the secondary particle productions. Conclusion: The variations of secondary neutron spectra and particle transports depending on various physics models in MCNPX code were studied and the result of this study can be used for the shielding design and radiation safety evaluation.

• 한국강구조학회 논문집
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• 제11권4호통권41호
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• pp.397-407
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• 1999

본 연구는 공칭응력 및 변동응력을 이용한 현수교 횡프레임의 피로안전성 평가를 위하여 수행되었으며, 본 논문에서는 해석모델의 모형화 방법 및 공칭응력을 이용한 피로안전성 평가를 주요 내용으로 다루었다. 본 연구의 목적에 부합되는 해석모형을 도출 하고자 해석모형의 지지조건에 따른 영향, 평면해석과 입체해석간의 구조해석 결과의 차이 및 모형화되는 횡프레임 수의 영향에 대해서 검토하였다. DB-24하중을 피로조사하중으로 이용하였으며, 단일트럭하중에 의한 발생응력을 조합하여 실교통류 흐름의 효과를 고려하였다. 피로검토대상 구조상세에 대해 산출된 공칭응력을 국내 및 국외의 피로등급과 비교하고 그 결과에 대해 고찰하였다.

• 대한기계학회논문집A
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• 제40권9호
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• pp.821-826
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• 2016

원자력 배관 설계에는 파단전 누설(leak before break, LBB) 개념이 사용되고 있다. LBB 개념의 적용을 위해서는 관통균열을 통한 누설률을 정확하게 예측할 수 있어야 한다. 단면적이 일정한 관통균열에 대한 누설률 해석은 많이 이루어지고 있으나 실제 관찰되는 관통균열에서는 배관 내면 쪽과 외면 쪽의 단면적이 다른 경우가 많이 발생된다. 따라서 본 논문에서는 유동경로를 따라 선형적으로 변화하는 단면적을 가진 관통균열에 대하여 누설률을 평가하여 단면적의 분포가 누설률에 미치는 영향을 살펴보았다. 또한 클래딩 등에 의하여 두께 방향으로 이중 재료로 된 배관에 존재하는 관통균열에 대해서도 누설률을 평가하여 유동경로를 따라 달라지는 균열면 형태학적 변수가 누설률에 미치는 영향을 살펴보았다.

• 대한원격탐사학회지
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• 제34권6_2호
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• pp.1251-1260
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• 2018

항공영상으로 제작한 고품질의 해빙표면모델은 인공위성 기반 원격탐사 기술 개발을 위한 현장자료 뿐만 아니라 북극 해빙의 정밀한 형상학적 변동 특성 분석에도 효과적으로 사용될 수 있다. 그러나 해빙 표면의 부족한 텍스쳐 정보는 영상정합을 어렵게 만드는 요인으로 작용한다. 이에 본 논문에서는 고품질 해빙표면 모델 생성을 위한 일환으로 균질한 해빙 표면에 대한 정합비용함수들의 성능 비교 분석을 수행한다. 정합비용함수로는 영상 도메인의 SSD(sum of squared differences), NCC(normalized cross-correlation), ZNCC(zero-mean normalized cross-correlation), 주파수 도메인의 PC(phase correlation), OC(orientation correlation), GC(gradient correlation)를 분석하였다. 텍스쳐 정보량에 따른 정합 성능을 보다 명확하고 객관적으로 분석하기 위해 객체 공간 기반 정합 기법의 원리를 바탕으로 하는 새로운 평가 방법을 도입하였다. 실험결과는 해빙 표면과 같이 텍스쳐 정보가 희박한 지역에 대해서는 정합 지역에 따라 적합한 크기의 탐색창을 가변적으로 적용해야만 정합의 신뢰성 및 정확도 확보가 가능함을 보여주었다. 정합비용함수들 사이에서는 NCC와 ZNCC가 텍스쳐 정보 변화에 대해서 가장 우수한 성능을 나타냈다.

• 대한토목학회논문집
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• 제35권2호
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• pp.387-396
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• 2015

기존 쉴드터널은 일률적으로 비배수 개념이 적용되고 있지만 시공 및 운영 과정에서 고질적인 누수 발생이 문제가 되고 있으며, 쉴드 세그먼트의 경우 토압 및 수압까지 고려한 설계로 인해 단면이 과다하게 증가되고 세그먼트 재료비 상승을 유발하고 있다. 이러한 문제점들을 개선하기 위해 쉴드터널에 배수 개념을 적용한 부분배수형 쉴드터널에 대한 연구가 진행되고 있다. 본 연구에서는 부분배수 쉴드터널의 적용 가능성을 평가하기 위해 축소모형실험을 통해 배수 및 비배수 조건에서의 토압 및 수압 변화를 측정하였다. 실험 결과를 통해 도출된 수압 저감 효과를 바탕으로 지하수위 아래 위치한 쉴드터널 설계사례에 적용하여 구조 안정성을 검토하였고, 수압 저감을 통한 세그먼트 단면 축소 효과에 대해 평가하였다.

• 임상간호연구
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• 제24권3호
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• pp.324-335
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• 2018

Purpose: The purpose of this study was to propose a revised Clinical Ladder System(CLS) Model for nurses based on the evaluation of clinical competence and professional activities of nurses working in general hospitals. Methods: Data were collected between September 10 and October 30, 2017. Participants were 50 head nurses from 10 general hospitals with over 400 beds located in Seoul City and Gyeonggi Province. Each head nurse evaluated clinical competence, qualifications, and professional activities of 5 staff nurses at each of the 5 levels of CLS in her unit. The total number of the nurses evaluated was 245. Data were analyzed with descriptive statistics and t-test, one-way ANOVA, and $Scheff{\acute{e}}$. Results: Over 80% of the nurses were university graduates. As the CLS levels increased, clinical competence, qualifications, and professional activities also increased significantly. Education material development and quality improvement activities were carried out by nurses from level 2, research and evidence based practice activities were carried out from level 3, and nurses at level 4 or 5 participated in most of the professional activities as leaders. Conclusion: In order to retain excellent nurses in general hospitals, recognizing and rewarding nurses according to the revised model of the CLS are recommended.