• Journal of Digital Convergence
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• v.17 no.1
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• pp.281-286
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• 2019

This study, which checked diagnostic agreement at the femoral region and lumbar region during diagnosis of osteoporosis and surveyed errors related with choosing measured parts, aimed at providing basic date for right diagnosis of osteoporosis. The study, using the first, second years of the fifth period from initial data from National Nutrition Survey, surveyed 1,637 men and 2,128 women at the age of 50 years or older. The study used kappa test to grasp the agreement between the occurrence of osteoporosis at the femoral region and lumbar region and whether or not received doctor's diagnosis. Women showed diagnostic agreement of osteoporosis at all of the femoral region and lumbar region, with diagnostic agreement of the lumbar region being higher than that of the femoral region. While, men showed diagnostic agreement of osteoporosis only at the lumbar region. Bone density changes with the age and varies depending on parts, and so, the study believes, measuring bone density should conduct all of the femoral region and lumbar region and diagnosis had better be made focused on the lumbar region.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.43-50
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• 2019

The purpose of this study was investigate the association between birth age related health factors and metabolic syndrome in women. The data of 6743 women from Korean National Health and Nutrition Examination Survey(2012-2014 KNHANES) were analyzed. Dependent variable was metabolic syndrom related variables were collected. Menopause status was associated with metabolic syndrome [odds ratio of with post-menopause 1.44(95% CI: 1.09-1.90)]. First birth age was associated with metabolic syndrome [odds ratio of women with 26-30 year : 0.81 (95% CI: 0.68-0.98); odds ratio of women 31 year over: 0.62(95% CI: 0.45-0.87)] after adjusted for age, region, household income, smoking, occupation. In conclusion, the metabolic syndrome is closely related to menopause and first birth age, and will be used as a basic data in developing future educational programs for women.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.293-302
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• 2020

This study was aimed to identify factors affecting the health related quality of life in elderly according to living type. This study used data from the 7th-3 Period Korea National Health and Nutrition Examination Survey. Data were analyzed using the SPSS program. The health related quality of life of living-alone elderly was lower than that of living-together elderly. The significant predictors of health related quality of life of living-alone elderly were depression, subjective health status, age, stress. The significant predictors of health related quality of life of living-together elderly were depression, subjective health status, age, gender. injury, stress. These results suggested that the living type affect the health related quality of life. The influencing factors should be reflected in the relevant program development.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.51-58
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• 2021

Women are reported to have increased risk of metabolic syndrome after menopause. Nevertheless, there is a lack of study on the convergent association between breast-feeding, bone mineral density(BMD) and metabolic syndrome due to women's childbirth. In this study, the data of 939 elderly women using raw data from the fifth Korean National Health and Nutrition Examination Survey(KNHANES V-1 and 2) in 2010 and 2011 were analyzed. The correlation between breast-feeding children, BMD and metabolic syndrome was analyzed by dividing them into three groups based on the number of breast-feeding children. As a result of the analysis, no specific association was found between risk factors of metabolic syndrome and BMD according to the increase in the number of breast-feeding children after adjustment for confounders. However, elderly women with a large number of breast-feeding children showed a significant association with more risk factors of metabolic syndrome. These findings can be used as a basic material for the prevention and diagnosis of metabolic syndrome and health care in elderly women.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.85-91
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• 2022

As emphasized in the COVID-19 quarantine guidelines, hand washing is the most important prevention rule in tandem with distancing and mask. This study aimed to confirm relevant factors that affect practice of hand washing to find out approach for improvement of hand washing practice rate after COVID-19. Using the 2020 Community Health Survey data. As methods of research, this study searched for relevance by carrying out univariate logistic regression analysis, and also conducted multivariate logistic regression analysis using significant variables. Analysis results show that hand washing practice rate was high in females, well-educated, low age, cities, office job, the more people wear a face mask indoors, the higher the cycle of ventilation, the higher the cycle of disinfection and the more people maintain healthy distance. This study understood factors related to the rate of hand washing practice and results can be used as basic data for COVID-19 quarantine guidelines.

• Journal of the Korea Society of Computer and Information
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• v.28 no.9
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• pp.113-120
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• 2023

The purpose of this study was conducted to provide scientific data supporting the development of health programs for enhancing adolescents' health, by understanding factors influencing their self-rated health. It conducted a composite sample χ² test of 54,848 adolescents, to understand differences in the self-rated health depending on their sociodemographic characteristics, stress and depression levels, and also implemented a logistic regression analysis, to verify the factors influencing their sense of self-rated health. As a result of the study, Male students were healthier than female students; students with greater scholarly attainments and higher economic levels were more healthier; and students who had less stress and experienced no depression showed higher sense of self-rated health. Therefore, in order to improve the self-rated health of adolescents, it is necessary to continuously manage through the establishment of a customized health promotion program.

• Journal of agriculture & life science
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• v.50 no.4
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• pp.225-234
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• 2016

This study aimed at analyzing the economic value of 'Fuyu' sweet persimmon. For the analysis, the raw data of the latest 9 years were collected from 707 farmers in major sweet persimmon area and from 47 farmers surveyed in the field. These data include receipt price per kilogram, costs, yields per tree, etc. The findings are as follows: The break-even tree age of sweet persimmon was 85 years. The trees reach the maximum harvest at age of 65. 'Fuyu' sweet persimmon's economic value was 10,488 thousand won in income approach, 9,249 thousand won in cost approach, respectively.

• Journal of the Korean Institute of Gas
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• v.17 no.4
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• pp.58-69
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• 2013

This paper presents production data analysis for two production wells located in the shale gas field, Canada, with the proper analysis method according to each production performance characteristics. In the case A production well, the analysis was performed by applying both time and superposition time because the production history has high variation. Firstly, the flow regimes were classified with a log-log plot, and as a result, only the transient flow was appeared. Then the area of simulated reservoir volume (SRV) analyzed based on flowing material balance plot was calculated to 180 acres of time, and 240 acres of superposition time. And the original gas in place (OGIP) also was estimated to 15, 20 Bscf, respectively. However, as the area of SRV was not analyzed with the boundary dominated flow data, it was regarded as the minimum one. Therefore, the production forecasting was conducted according to variation of b exponent and the area of SRV. As a result, estimated ultimate recovery (EUR) increased 1.2 and 1.4 times respectively depending on b exponent, which was 0.5 and 1. In addition, as the area of SRV increased from 240 to 360 acres, EUR increased 1.3 times. In the case B production well, the formation compressibility and permeability depending on the overburden were applied to the analysis of the overpressured reservoir. In comparison of the case that applied geomechanical factors and the case that did not, the area of SRV was increased 1.4 times, OGIP was increased 1.5 times respectively. As a result of analysis, the prediction of future productivity including OGIP and EUR may be quite different depending on the analysis method. Thus, it was found that proper analysis methods, such as pseudo-time, superposition time, geomechanical factors, need to be applied depending on the production data to gain accurate results.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.280-280
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• 2023

강수의 정확한 시·공간적 추정은 홍수 대응, 가뭄 관리, 수자원 계획 등 수문학적 모델링의 핵심 기술이다. 우주 기술의 발전으로 전지구 강수량 측정 프로젝트(Global Precipitation Measurement, GPM)가 시작됨에 따라 위성의 여러 센서를 이용하여 다양한 고해상도 강수량 자료가 생산되고 있으며, 기후변화로 인한 수재해의 빈도가 증가함에 따라 준실시간(Near-Real-Time) 위성 강수 자료의 활용성 및 중요성이 높아지고 있다. 하지만 준실시간 위성 강수 자료의 경우 빠른 지연시간(latency) 확보를 위해 관측 이후 최소한의 보정을 거쳐 제공되므로 상대적으로 강수 추정치의 불확실성이 높다. 이에 따라 본 연구에서는 앙상블 머신러닝 기반 수집된 위성 강수 자료들을 관측 자료와 병합하여 보정된 준실시간 강수량 자료를 생성하고자 한다. 모형의 입력에는 시단위 3가지 준실시간 위성 강수 자료(GSMaP_NRT, IMERG_Early, PERSIANN_CCS)와 방재기상관측 (AWS)의 온도, 습도, 강수량 지점 자료를 활용하였다. 지점 강수 자료의 경우 결측치를 고려하여 475개 관측소를 선정하였으며, 공간성을 고려한 랜덤 샘플링으로 375개소(약 80%)는 훈련 자료, 나머지 100개소(약 20%)는 검증 자료로 분리하였다. 모형의 정량적 평가 지표로는 KGE, MAE, RMSE이 사용되었으며, 정성적 평가 지표로 강수 분할표에 따라 POD, SR, BS 그리고 CSI를 사용하였다. 머신러닝 모형은 개별 원시 위성 강수 자료 및 IDW 기법보다 높은 정확도로 강수량을 추정하였으며 공간적으로 안정적인 결과를 나타내었다. 다만, 최대 강수량에서는 다소 과소추정되므로 이는 강수와 관련된 입력 변수의 개수 업데이트로 해결할 수 있을 것으로 판단된다. 따라서 불확실성이 높은 개별 준실시간 위성 자료들을 관측 자료와 병합하여 보정된 최적 강수 자료를 생성하는 머신러닝 기법은 돌발성 수재해에 실시간으로 대응 가능하며 홍수 예보에 신뢰도 높은 정량적인 강수량 추정치를 제공할 수 있다.

• Journal of the Korean earth science society
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• v.32 no.4
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• pp.402-410
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• 2011

We present results of CO observations toward an infrared (IR) source, IRAS 07280-1829, and its possibly related molecular clouds. The physical parameters of this IR source such as its infrared slope (${\alpha}$=16) of the Spectral Energy Distribution and bolometric temperature (145 K) indicate that it is an embedded protostar. Its luminosity is ${\sim}2.9{\times}10^4L_{\odot}$, typical of a massive star. The CO profile toward IRAS 07280-1829 has broad wing components, implying a possible existence of CO outflow. The excitation temperature and mass of a molecular cloud (Cloud A) which is thought to harbor the IR source are estimated to be 9~22 K and ~180 $M_{\odot}$, respectively, indicating the Cloud A is a typical infrared-dark cloud. Its LTE mass is found to be much smaller than its virial mass by more than a factor of 10 which is inconsistent with the fact that a protostar recently formed exists in the Cloud A. This may suggest that the environment of the cloud where the IR source is forming is dominant of turbulence and/or magnetic filed, making its virial mass estimated unusually high.