• Nuclear Engineering and Technology
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• v.52 no.5
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• pp.878-888
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• 2020

This paper presents the validation of UNIST in-house Monte Carlo code MCS used for the high-fidelity simulation of commercial pressurized water reactors (PWRs). Its focus is on the accurate, spatially detailed neutronic analyses of startup physics tests for the initial core of the Watts Bar Nuclear 1 reactor, which is a vital step in evaluating core phenomena in an operating nuclear power reactor. The MCS solutions for the Consortium for Advanced Simulation of Light Water Reactors (CASL) Virtual Environment for Reactor Applications (VERA) core physics benchmark progression problems 1 to 5 were verified with KENO-VI and Serpent 2 solutions for geometries ranging from a single-pin cell to a full core. MCS was also validated by comparing with results of reactor zero-power physics tests in a full-core simulation. MCS exhibits an excellent consistency against the measured data with a bias of ±3 pcm at the initial criticality whole-core problem. Furthermore, MCS solutions for rod worth are consistent with measured data, and reasonable agreement is obtained for the isothermal temperature coefficient and soluble boron worth. This favorable comparison with measured parameters exhibited by MCS continues to broaden its validation basis. These results provide confidence in MCS's capability in high-fidelity calculations for practical PWR cores.

• Advances in Computational Design
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• v.7 no.3
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• pp.253-279
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• 2022

This study investigated and predicted the Marshall stability of glass-fiber asphalt mix, carbon-fiber asphalt mix and glass-carbon-fiber asphalt (hybrid) mix by using machine learning techniques such as Artificial Neural Network (ANN), Support Vector Machine (SVM) and Random Forest(RF), The data was obtained from the experiments and the research articles. Assessment of results indicated that performance of the Artificial Neural Network (ANN) based model outperformed applied models in training and testing datasets with values of indices as; coefficient of correlation (CC) 0.8492 and 0.8234, mean absolute error (MAE) 2.0999 and 2.5408, root mean squared error (RMSE) 2.8541 and 3.3165, relative absolute error (RAE) 48.16% and 54.05%, relative squared error (RRSE) 53.14% and 57.39%, Willmott's index (WI) 0.7490 and 0.7011, Scattering index (SI) 0.4134 and 0.3702 and BIAS 0.3020 and 0.4300 for both training and testing stages respectively. The Taylor diagram also confirms that the ANN-based model outperforms the other models. Results of sensitivity analysis show that Carbon fiber has a major influence in predicting the Marshall stability. However, the carbon fiber (CF) followed by glass-carbon fiber (50GF:50CF) and the optimal combination CF + (50GF:50CF) are found to be most sensitive in predicting the Marshall stability of fibrous asphalt concrete.

• Nuclear Engineering and Technology
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• v.52 no.12
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• pp.2969-2974
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• 2020

Looking at the recent studies, nuclear energy and carbon dioxide (CO₂) emissions nexus shows inconclusive result. To further explain nuclear energy-pollution nexuses this study is an attempt to analyze the impact of nuclear energy on pollution reduction for BRICS countries covering data for the period from 1993 to 2017. This study conducts advanced panel techniques such as Continuously-Updated Fully-Modified (CUP-FM) and Continuously-Updated Bias-Corrected (CUP-BC) for long run estimation. Our results support the notion that nuclear energy reduce CO₂ emissions. Also, renewable energy corrects environmental pollution in BRICS countries. The magnitude of the coefficient of nuclear energy is less as compared to renewable energy, implying that nuclear is less effective in reducing environmental pollution. The findings offer significant policy understandings and suggestions not only for BRICS economies but for developing countries as well in designing suitable nuclear energy-growth-carbon policies.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.205-205
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• 2021

Surface soil moisture, which governs the partitioning of precipitation into infiltration and runoff, plays an important role in the hydrological cycle. The assimilation of satellite soil moisture retrievals into a land surface model or hydrological model has been shown to improve the predictive skill of hydrological variables. This study aims to improve streamflow prediction with Weather Research and Forecasting model-Hydrological modeling system (WRF-Hydro) by assimilating Soil Moisture Active and Passive (SMAP) data at 3 km and analyze its impacts on hydrological components. We applied Cumulative Distribution Function (CDF) technique to remove the bias of SMAP data and assimilate SMAP data (April to July 2015-2019) into WRF-Hydro by using an Ensemble Kalman Filter (EnKF) with a total 12 ensembles. Daily inflow and soil moisture estimates of major dams (Soyanggang, Chungju, Sumjin dam) of South Korea were evaluated. We investigated how hydrologic variables such as runoff, evaporation and soil moisture were better simulated with the data assimilation than without the data assimilation. The result shows that the correlation coefficient of topsoil moisture can be improved, however a change of dam inflow was not outstanding. It may attribute to the fact that soil moisture memory and the respective memory of runoff play on different time scales. These findings demonstrate that the assimilation of satellite soil moisture retrievals can improve the predictive skill of hydrological variables for a better understanding of the water cycle.

• Journal of Preventive Medicine and Public Health
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• v.31 no.1 s.60
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• pp.49-58
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• 1998

The study was done to determine the reliability and validity of a life style questionnaire for the elderly. The questionnaires were sent to 16,524 elderly people who were beneficiaries of Korean Medical Insurance Corporation in Pusan. Among the completed 9,139 questionnaires, 200 were randomly sampled and retested. finally, 110 duplicates were collected. Weighted kappa-value and Pearson correlation coefficients were estimated to measure the reliability. Validity coefficient was estimated by using reliability coefficient. In self-self responses, reliability coefficients of the most of items were over 0.6 except some physical activity related item. Relatively high reliability was observed in smoking, alcohol related items and anthropometric items. In self-proxy responses, most of the physical activity related items were found to be less reliable than self-self responses. Smoking and alcohol related items were consistently reliable. Male showed higher validity in food related item than female. On the other hand, some of the physical activity related items and smoking and alcohol related items were less valid in male than female. With regard to bias of proxy respondents, offsprings tended to underestimate the frequency of house cleaning' and 'kitchen work' and overestimate the height of them. In conclusion, the life style questionnaire was found to be reliable in the most of items. But, some items related with physical activity were found to be somewhat less reliable. Sexual difference on the validity was identified in some items. With regard to bias of proxy respondents, offsprings tended to have bias in part of items of housework and anthropometry.

• Women's Health Nursing
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• v.5 no.3
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• pp.379-388
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• 1999

Breastfeeding is an excellent way of feeding infants and continues to be an important source of nutrition and antibodies for infants. Although breast-feeding is believed to be important, the rate of breastfeeding among Korean women is very low. One reason for the low breastfeeding rate is that the health professionals in the past have given little practical help couples to overcome difficulties encountered during breastfeeding. The promotion of breastfeeding has recently become a high priority among health professionals because of the undisputed physiological, psychological, social, economic, and nutritional benefits. Fathers have been found to influence the course of breastfeeding, but no one has conducted a systematic investigation into in and included fathers perspectives of breastfeeding in Korea. It is important to find strategies to solve the problems by assessing the knowledge, attitude and practice of breastfeeding with fathers as well as mothers. The purpose of this research is to find ways to promote primiparous(first child) couples's breastfeeding by assessing their general knowledge, attitude and practice of it. More specifically its purposes is to identify the relationship between knowledge, attitude, practice and the background factors of breastfeeding of primiparous couples in order to promote and support breastfeeding. The data will help health professionals to guide first-pregnancy couples to prepare and overcome any difficulties encountered during breastfeeding. Data were collected through a questionnaire which included both structured and open-ended questions. The questionnaire was composed referencing earlier literature, studies and surveys. This survey was made postpartum 2-3days after childbirth on 96 couples. The numbers of subjects for data analysis were selected 51 couples through pilot screening test. Data were coded and analyzed using the Statistical Package for Social Sciences : Cronbach's alpha coefficient, T-test, ANOVA, Stepwise pearson's correlation coefficient. The relations between the variables of breastfeeding were examined using a Pearson's correlation coefficient. This study showed that, the internal validity of the instrument was tested by Cronbach's alpha. The result was : mother knowledge 0.72, mother attitude 0.88, and father knowledge 0.70, father attitude 0.92, practice 0.76 and planning of breast feeding 0.95. The average age of mothers in the sample was 28.9 years old, and the average age of fathers in the sample was 31.3 years old. The other descriptive informations available included. the study also found that fathers were more important than doctors or nurses. However results of the study indicate that there were no differences between father and mother knowledge of breastfeeding(t=-0.39, p=0.698), and father attitude was statistically significant higher than mother attitude of breastfeeding (t=2.24, p=0.030). In analysis, the variable 'practice' with breastfeeding was the relationship with mother knowledge (p=0.031) and mother attitude(p=0.015). In this study, the correlation between one couple' knowledge and attitude was not significant. Primiparous couples surveyed in the postpartum period regarding knowledge, attitude and practice about breastfeeding might be affected by recall bias, the effects of the euphoria of the first 24-48 hours postpartum, but these variables were not examined. This study results add to the body of knowledge about nursing care for breastfeeding mothers and fathers. This indicates that a need for education about breastfeeding and, that fathers be included in it as well as mothers.

• Proceedings of the Korean Vacuum Society Conference
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• 1999.07a
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• pp.114-114
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• 1999

Boron nitride (BN)는 매우 뛰어난 물리적, 화학적 성질을 가지고 있는 재료로 많은 연구가 진행되고 있다. hexagonal 형태의 hBN의 경우 큰 전기 저항과 열 전도도를 가지고 있고 열적 안정성을 가지고 있어 반도체 소자에서 절연층으로 쓰일 수 있다. 또한 X-ray와 가시광선을 투과시키기 때문에 X-ray와 가시광선을 투과시키기 때문에 X-ray lithography이 mask 기판으로 사용될 수 있다. Boron-carbon-nitrogen (BCN) 역시 뛰어난 기계적 성질과 투명성을 가지고 있어 보호 코팅이나 X-ray lithography에 이용될 수 있다. 또한 원자 조성이나 구성을 변화시켜 band gap을 조절할 수 있는 가능성을 가지고 있기 때문에 전기, 광소자의 재료로 이용될 수 있다. 본 연구에서는 여러 합성 조건 변화에 따른 hBN 막의 합성 거동을 관찰하고, 카본 농도변화에 따른 BCN 막의 기계적 성질과 구조의 변화, 그리고 실리콘 첨가에 의한 물성 변화를 관찰하였다. BN박막은 실리콘 (100) 기판 위에 r.f. plasma assisted CVD를 이용하여 합성하였다. 합성 압력 0.015 torr, 원료 가스로 BCl3 1.5 sccm, NH3 6sccm을 Ar 15 sccm을 사용하여 기판 bias (-300~-700V)와 합성온도 (상온~50$0^{\circ}C$)를 변화시켜 BN막을 합성하였다. BCN 박막은 상온에서 기판 bias를 -700V로 고정시킨 후 CH4 공급량과 Ar 가스의 첨가 유무를 변화시켜 합성하였다. 또한 SiH4 가스를 이용하여 실리콘을 함유하는 Si-BCN 막을 합성하였다. 합성된 BN 막의 경우, 기판 bias와 합성 온도가 증가할수록 증착속도는 감소하는 경향을 보여 주었다. 기판 bias와 합성온도에 따른 구조 변화를 SEM과 Xray로 분석하였다. 상온에서 합성한 경우는 표면형상이 비정질 형태를 나타내었고, X-ray peak이 거의 관찰되지 않았다. 합성온도가 증가하게 되면 hBN (100) peak이 나타나게 되고 이것은 합성된 막이 turbostratic BN (tBN) 형태를 가지고 있다는 것을 나타낸다. 50$0^{\circ}C$의 합성 온도에서 기판 bias가 -300V에서 hBN (002) peak이 관찰되었고, -500, -700 V에서는 hBN (100) peak만이 관찰되었다. 따라서 고온에서의 큰 ion bombardment는 합성되는 막의 결정성을 저해하는 요소로 작용한다는 것을 확인 할 수 있었다. 합성된 BN 막은 ball on disk type의 tribometer를 이용하여 마모 거동을 관찰한 결과 대부분 1이상의 매우 큰 friction coefficient를 나타내었고, nano-indenter로 측정한 BN막의 hardness는 매우 soft한 막에서부터 10 GPa 정도 까지의 값을 나타내었고, nano-indenter로 측정한 BN 막의 hardness는 매우 soft한 막에서부터 10GPa 정도 까지의 값을 가지며 변하였다. 합성된 BCN, Si-BCN 막은 FT-IR, Raman, S-ray, TEM 분석을 통하여 그 구조와 합성된 상에 관하여 분석하였다. FT-IR 분석을 통해 B-N 결합과 C-N 결합을 확인할 수 있었고, Raman 분석을 통하여 DLC의 특성을 분석하였다. 마모 거동에서는 BCN 막의 경우 0.6~0.8 정도의 friction coefficient를 나타내었고 Si-BCN 막은 0.3이하의 낮은 friction coefficient를 나타내었다. Hardness는 carbon의 함유량과 Ar 가스의 첨가 유무에 따라 각각을 측정하였고 이것은 BN 막 보다 향상된 값을 나타내었다.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.9
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• pp.1349-1354
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• 2019

Objective: The objective of this study was to determine the best approach for handling missing records of first to successful insemination (FS) in Japanese Black heifers. Methods: Of a total of 2,367 records of heifers born between 2003 and 2015 used, 206 (8.7%) of open heifers were missing. Four penalty methods based on the number of inseminations were set as follows: C1, FS average according to the number of inseminations; C2, constant number of days, 359; C3, maximum number of FS days to each insemination; and C4, average of FS at the last insemination and FS of C2. C5 was generated by adding a constant number (21 d) to the highest number of FS days in each contemporary group. The bootstrap method was used to compare among the 5 methods in terms of bias, mean squared error (MSE) and coefficient of correlation between estimated breeding value (EBV) of non-censored data and censored data. Three percentages (5%, 10%, and 15%) were investigated using the random censoring scheme. The univariate animal model was used to conduct genetic analysis. Results: Heritability of FS in non-censored data was $0.012{\pm}0.016$, slightly lower than the average estimate from the five penalty methods. C1, C2, and C3 showed lower standard errors of estimated heritability but demonstrated inconsistent results for different percentages of missing records. C4 showed moderate standard errors but more stable ones for all percentages of the missing records, whereas C5 showed the highest standard errors compared with noncensored data. The MSE in C4 heritability was $0.633{\times}10^{-4}$, $0.879{\times}10^{-4}$, $0.876{\times}10^{-4}$ and $0.866{\times}10^{-4}$ for 5%, 8.7%, 10%, and 15%, respectively, of the missing records. Thus, C4 showed the lowest and the most stable MSE of heritability; the coefficient of correlation for EBV was 0.88; 0.93 and 0.90 for heifer, sire and dam, respectively. Conclusion: C4 demonstrated the highest positive correlation with the non-censored data set and was consistent within different percentages of the missing records. We concluded that C4 was the best penalty method for missing records due to the stable value of estimated parameters and the highest coefficient of correlation.

• Korean Journal of Remote Sensing
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• v.28 no.1
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• pp.69-77
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• 2012

Surface insolation is one of the major indicators for climate research over the Earth system. For the climate research, long-term data and wide range of spatial coverage from the data observed by two or more of satellites of the same orbit are needed. It is important to improve the continuity and consistency of the derived products, such as surface insolation, from different satellites. In this study, surface insolations based on Geostationary Operational Environmental Satellite (GOES-9) and Multi-functional Transport Satellites (MTSAT-1R) were compared during overlap period using physical model of insolation to find ways to improve the consistency and continuity between two satellites through comparison of each channel data and ground observation data. The thermal infrared brightness temperature of two satellites show a relatively good agreement between two satellites : rootmean square error (RMSE)=5.595 Kelvin; Bias=2.065 Kelvin. Whereas, visible channels shown a quite different values, but it distributed similar tendency. And the surface insolations from two satellites are different from the ground observation data. To improve the quality of retrieved insolations, we have reproduced surface insolation of each satellite through adjustment of the Cloud Factor, and the Cloud Factor for GOES-9 satellite is modified based on the analysis result of difference channel data. As a result, the insolations estimated from GOES-9 for cloudy conditions show good agreement with MTSAT-1R and ground observation : RMSE=$83.439W\;m^{-2}$ Bias=$27.296W\;m^{-2}$. The result improved accuracy confirms that the modification of Cloud Factor for GOES-9 can improve the continuity and consistency of the insolations derived from two or more satellites.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.23 no.4
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• pp.153-178
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• 2018

Most operational uses of wind speed data require measurements at, or estimates generated for, the reference height of 10 m above mean sea level (AMSL). On the Ieodo Ocean Research Station (IORS), wind speed is measured by instruments installed on the lighthouse tower of the roof deck at 42.3 m AMSL. This preliminary study indicates how these data can best be converted into synthetic 10 m wind speed data for operational uses via the Korea Hydrographic and Oceanographic Agency (KHOA) website. We tested three well-known conventional empirical neutral wind profile formulas (a power law (PL); a drag coefficient based logarithmic law (DCLL); and a roughness height based logarithmic law (RHLL)), and compared their results to those generated using a well-known, highly tested and validated logarithmic model (LMS) with a stability function (${\psi}_{\nu}$), to assess the potential use of each method for accurately synthesizing reference level wind speeds. From these experiments, we conclude that the reliable LMS technique and the RHLL technique are both useful for generating reference wind speed data from IORS observations, since these methods produced very similar results: comparisons between the RHLL and the LMS results showed relatively small bias values ($-0.001m\;s^{-1}$) and Root Mean Square Deviations (RMSD, $0.122m\;s^{-1}$). We also compared the synthetic wind speed data generated using each of the four neutral wind profile formulas under examination with Advanced SCATterometer (ASCAT) data. Comparisons revealed that the 'LMS without ${\psi}_{\nu}^{\prime}$ produced the best results, with only $0.191m\;s^{-1}$ of bias and $1.111m\;s^{-1}$ of RMSD. As well as comparing these four different approaches, we also explored potential refinements that could be applied within or through each approach. Firstly, we tested the effect of tidal variations in sea level height on wind speed calculations, through comparison of results generated with and without the adjustment of sea level heights for tidal effects. Tidal adjustment of the sea levels used in reference wind speed calculations resulted in remarkably small bias (<$0.0001m\;s^{-1}$) and RMSD (<$0.012m\;s^{-1}$) values when compared to calculations performed without adjustment, indicating that this tidal effect can be ignored for the purposes of IORS reference wind speed estimates. We also estimated surface roughness heights ($z_0$) based on RHLL and LMS calculations in order to explore the best parameterization of this factor, with results leading to our recommendation of a new $z_0$ parameterization derived from observed wind speed data. Lastly, we suggest the necessity of including a suitable, experimentally derived, surface drag coefficient and $z_0$ formulas within conventional wind profile formulas for situations characterized by strong wind (${\geq}33m\;s^{-1}$) conditions, since without this inclusion the wind adjustment approaches used in this study are only optimal for wind speeds ${\leq}25m\;s^{-1}$.