• Journal of Korean Society of Coastal and Ocean Engineers
• /
• v.31 no.3
• /
• pp.146-157
• /
• 2019

Recently, the importance of highly accurate bathymetric data is greatly emphasized by the increased use of the ocean numerical models and research results in major areas such as ocean forecasting and natural disaster. There are domestic bathymetric data mainly used in ocean numerical models of Choi et al.(2002) and Seo (2008), but the production year is old and the data was created on the basis of nautical charts. Nautical charts are made for the purpose of navigation and based on the minimum depth from bathymetric data, so there is a limitation to reproduce the actual submarine topography. Korea Hydrographic and Oceanographic Agency (KHOA) produces nautical charts every year through continuous bathymetric survey, but no bathymetric data for numerical models have been produced. In this study, using the raw bathymetric survey data, we built an exclusive bathymetric dataset (BADA Ver.1) for ocean numerical models and compared it with published bathymetric data.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.7
• /
• pp.4132-4138
• /
• 2014

The purpose of this assessment was to provide the basic data for setting up education in terms of 'Hand wash' as one of the health plan & education programs for adolescents. The task analyzed the behavior of students regarding hand washing, which were ranged from middle school to high school. The SPSS 18.0 statistical program, frequency-test and cross-analysis were used for data analysis by 2011, 2012 and 2013, which were the recent 3 years, the Korea Youth Risk Behavior Web-based Survey data. In the data, the response of "Never washed" from students before having a meal accounted for 29.4% in 2011, 30.5% in 2012 and 18.5% in 2013, respectively. Unlike other subjects, these facts suggest that this kind of behavior should be considered significant under the assessment. By tracking the trend over three years, some facts were confirmed in that students living in the metropolitan and medium-sized cities were less likely to wash their hands than students in small- sized towns. In terms of gender, female students were less likely to wash their hands than male students. Regarding the type of school, more students in the public middle & high schools had a tendency to respond "Never hand wash" than the students in the special-purpose high schools. Furthermore, as the grade was increased in middle school and high school, students were less likely to wash their hands before meals in school. Therefore, Health promotion and health education for students should be conducted more carefully with more emphasis on this point.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.9
• /
• pp.186-192
• /
• 2017

Thepurpose of this study was to provide a basic data health plan & education program for adolescents by examining the recent 3 year Korea Youth Risk Behavior Web-based Survey data obtained in 2013, 2014 and 2015. The data was analyzed with theSPSS 18.0 statistical program using the t-test and cross-analysis. After confirming the drinking habits of teenagers in Korea, the issue was slightly lower in the issue of problem drinking. However, the first time for drinking alcohol was the 2nd grade of middle school(21.5%) and the average alcohol intake was 20 to 29 days(3.8%) and usually consisted ofmore than two bottles (12.2%)s. Also, the method of buying liquor was found to be mainly at convenience stores(32%), and the adolescents werefound not to have been trained for drinking(52%). As a result of comparing the general characteristics of these items, it was found that there was a significant difference between the coeducation type, the high school type, the trace in the residence type, and the 'middle-high level' in terms of the socio-economic level.When comparing the results of the drinking behavior during these three years, the outcome of the trend is still noteworthy, as health education for drinking alcohol is still important, and attention needs to be paid to this problem.

• The Journal of the Korea Contents Association
• /
• v.14 no.10
• /
• pp.198-209
• /
• 2014

Diabetes Mellitus (DM) is well known for increasing morbidity and mortality, especially related to their complications. The purpose of this study was to investigate the factors affecting the prevalence rate of DM and provide a fundamental material to develop an intervention strategy to reduce the prevalence rate of DM. The study subjects were adults aged over 19 on the basis of the primitive data of "The Fifth Korean National Health and Nutrition Examination Survey, 2012". Therefore, the data of 5995 participants were analyzed. For data process, the complex sample analysis module of SPSS 18.0 program was employed to add weighting before analysis. According to the analysis, the prevalence rate of DM of the study subjects was 10.5%. Regarding the odds ratio of DM prevalence, the subjects who graduated from middle school had the odds ratio 2.51 times higher than those who graduated from college and more; those in subjective bad health condition 4.77 times higher than those in subjective good health condition; those in obesity 1.44 times higher; those with high blood pressure 2.57 times higher; those with hyperlipidemia 2.63 times higher; those who fail to control their weight 1.31 times higher; those going on a diet 2.75 times higher. This study revealed that a level of education, perceived health status, obesity, high blood pressure, hyperlipidemia, weight control, and dietary therapy were the predictable variables of the prevalence rate of DM, and thereby suggested the nursing direction and research direction to reduce the prevalence rate of DM.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2007.05a
• /
• pp.291-295
• /
• 2007

강수진단모형을 이용하여 저수지 이수운영을 위한 실시간 유량예측기법을 개발하였다. 강수진단모형은 현재 기상청 현업에서 수행중인 강우수치예보를 기반으로 상세 지역의 지형 효과에 의한 강수를 예측하는 정량강수예측모형(QPM; Quantitative Precipitation Model)으로서 부경대학교 환경대기과학과에서 개발된 모형이다. QPM은 중규모 예측 모형으로부터 계산된 수평 바람, 고도, 기온, 강우 강도, 그리고 상대습도 등의 예측 자료를 이용하고, 소규모 상세지형 효과를 고려함으로써 중규모 예측 모형에서 생산된 강수량 예측 값을 상세 지역의 지형을 고려한 강수량 예측 값으로 재구성하여 결과적으로 3km 간격의 상세지역 강우산출과 지형에 따른 강수량의 분포 파악이 용이할 뿐만 아니라 계산 효율성을 개선된 모형이다. QPM 검증을 위하여 기상학적 평가와 수문학적 평가를 수행하였다. 호우 사례별 일강수량의 시공간 분포로 부터, QPM을 활용한 시스템에 의한 예측결과가 원시자료 RDAPS 보다 고해상도의 예측 및 지형효과의 반영도가 높았으며, AWS의 관측자료와 비교하여 보다 높은 예측성을 보여 주었다. 대상기간인 2006년 1월 1일부터 6월 20일까지 관측강우는 총 391.5mm 였으며 RQPM은 실적강우에 비하여 119.5mm 정도 과소산정하고 있으나 분위사상과정을 거치게 되면 351.7mm로서 실적강우에 불과 10.2% 못미치고 있다. 이는 고무적인 결과로 볼 수 있으며 현업에서의 활용성이 기대되는 수준이라 볼 수 있다. 강우-유출모의를 위한 QPM신뢰도를 높이기 위하여 분위사상법(Quantile Mapping)을 이용하여 QPM모의에 존재할 수 있는 계통오차에 대한 추가적인 보정을 수행하였다. 수문학적 평가를 위하여는 장기연속유출모형인 SSARR모형을 기반으로 개발된 RRFS(Rainfall-Runoff Forecast System)을 이용하여 2006년 1월${\sim}$9월까지의 용담댐 유입량에 대하여 모의예측결과와 관측유입량 비교를 통한 검증을 수행하였다. 위 기간중 예측유입량의 RMSE(Root Mean Squared Error), COE(Sutcliffe Coefficient of Efficiency), MAE(Mean Absolute Error), $R^2$값은 각각 7.50, 0.68, 2.59, 0.69 값을 보이고 있다. 본 연구에서는 QPM에 의한 예측성의 향상 및 구축된 시스템에 의한 일강수량의 장기예측 가능성을 확인하였고, 향후 시스템을 현업에 활용하기 위해서 생산된 예측자료의 보다 장기적인 검증을 통한 시스템의 안정화가 필요할 것으로 사료된다.

• Geophysics and Geophysical Exploration
• /
• v.23 no.2
• /
• pp.97-114
• /
• 2020

Recently, many studies have been actively conducted on the application of machine learning in all branches of science and engineering. Studies applying machine learning are also rapidly increasing in all sectors of seismic exploration, including interpretation, processing, and acquisition. Among them, fault detection is a critical technology in seismic interpretation and also the most suitable area for applying machine learning. In this study, we introduced various machine learning techniques, described techniques suitable for fault detection, and discussed the reasons for their suitability. We collected papers published in renowned international journals and abstracts presented at international conferences, summarized the current status of the research by year and field, and intensively analyzed studies on fault detection using machine learning. Based on the type of input data and machine learning model, fault detection techniques were divided into seismic attribute-, image-, and raw data-based technologies; their pros and cons were also discussed.

• The Korean Society of Law and Medicine
• /
• v.19 no.2
• /
• pp.209-233
• /
• 2018

The purpose of this study was to ascertain whether or not to recover the spontaneous circulation of patients with cardiac arrest before arrival in the emergency room for 5 years (2012 to 2016), and try to investigate the factors affecting this. In this research, we used the "raw material for acute cardiac arrest survey" conducted in "Disease management headquarters" from 2012 to 2016 for the whole country of our country as the main material. In this study, 136,212 cardiac arrest patients were analyzed in the study data of the cardiac arrest in the country during the 5 years from 2012 to 2016. We performed a Chi-square analysis to analyze the recovery of spontaneous circulation before arrival in the emergency room according to general characteristics, social·demographic characteristics, and developmental characteristics. and We performed a Binary logistic regression analysis to determine the factors affecting the recovery of spontaneous circulation. The analysis results of this study show that whether CPR sustained transport before endoplasmic reticulum arrival, whether to witness an acute cardiac arrest before arrival in the emergency room, the type of general cardiopulmonary resuscitation, the location of acute cardiac arrest, the acute heart Causes of stoppage cause factor of whether spontaneous circulation recovery recovers before arrival of the endoplasmic reticulum(P<0.001, P<0.01). Therefore, it is necessary to strengthen systematic government health policy implementation and dissemination and health education focusing on factors that affect recovery of spontaneous circulation of cardiac arrest patients.

• Journal of the Korea Convergence Society
• /
• v.12 no.9
• /
• pp.331-341
• /
• 2021

This descriptive study was conducted to examine self rated health and factors influencing self rated health among e-cigarette smoking young and elderly community residents. The data were from the community health survey 2019 and the subjectis were 2,607 participants aged 19-50 years. Data analysis was conducted by descriptive statistics, χ² test, univariate multinominal logistic regression using SPSS 26.0 program and SPSS complex samples statistics. As a result of the study, 90.2% of the young and old e-cigarette smokers had a good subjective health condition and 9.8% had a poor subjective health condition. The factors affecting the subjective health status of e-cigarette smokers are gender(p=.006), age(p=.036), income level(p=.044) in Model I, and physical activity (p=.033) and stress (p<.001) in Model II. As a strategy to improve the subjective health status and quit smoking of e-cigarette smokers in the young and old, nursing intervention strategies are needed to increase physical activity and reduce stress.

• Journal of the Korea Convergence Society
• /
• v.12 no.1
• /
• pp.111-118
• /
• 2021

This study used raw data from the 2016-2018 National Health and Nutrition Survey to study the correlation between blood lipid and periodontal disease in Korean men and women, and selected the final 11,797 people as subjects of analysis. A stratified analysis of smoking and residential areas was conducted to see the link between blood lipid and periodontal disease in Korean men. In men, non-smokers had a significant correlation of 1.38(95% CI:1.09-1.76), and in men, the risk group had a odds ratio of 1.49(95% CI:1.16-1.91), and in smokers, the risk group had odds ratio of 1.76 (95% CI:1.39-2.23) shows that the warning group is significant in relation to the intersecting ratio 1.14(95% CI:1.16-1.70) and the risk group 1.60(95% CI:1.32-1.94) periodontal disease. In conclusion, men's blood lipids and periodontal diseases are associated with smoking or residential areas, and are especially intended to be used as basic data in developing health education programs related to systemic and periodontal diseases for men in urban areas. In developing education programs for men in urban areas in the future, we want to use them as basic data.

• The Journal of Korean Academy of Prosthodontics
• /
• v.59 no.1
• /
• pp.1-10
• /
• 2021

Purpose: The purpose of this study is to evaluate the relationship between removable denture and depression. This study aims to investigate the relationship between depression and each group by dividing them into a group that were using removable dentures and a group that needed removable dentures but were not using removable dentures. Materials and methods: This study was conducted using raw data from the 7th Korea National Health and Nutrition Examination Survey (KNHNES). By using variables related to the state of the prosthesis and the need for prosthesis among oral examination data, the oral examination data were classified into two groups; group using removable denture and group in need of removable dentures. In addition, the variables of depression were classified into normal (0-4), mild depression (5-9), moderate depression (10-19), and severe depression (20-27) using the values of PHQ-9. For statistical analysis, logistic regression analysis was performed using SAS 9.4. Results: In the group in need of removable dentures, the risk of severe depression was statistically and significantly higher than the group using removable dentures. Conclusion: In patient who have lost multiple teeth, rehabilitation of the missing area with removable dental prosthesis is expected to decrease the occurrence of severe depression.