• 한국인공지능학회지
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• 제6권2호
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• pp.23-27
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• 2018

Korea has a high proportion of self-employment. Many of them start the food business since it does not require high-techs and it is possible to start the business relatively easily compared to many others in business categories. However, the closure rate of the business is also high due to excessive competition and market saturation. Cafés and restaurants are examples of food business where the business analysis is highly important. However, for most of the people who want to start their own business, it is difficult to conduct systematic business analysis such as trade area analysis or to find information for business analysis. Therefore, in this paper, we predicted business status with simple information using Microsoft Azure Machine Learning Studio program. Experimental results showed higher performance than the number of attributes, and it is expected that this artificial intelligence model will be helpful to those who are self-employed because it can easily predict the business status. The results showed that the overall accuracy was over 60 % and the performance was high compared to the number of attributes. If this model is used, those who prepare for self-employment who are not experts in the business analysis will be able to predict the business status of stores in Seoul with simple attributes.

• 한국안전학회지
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• 제37권5호
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• pp.22-32
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• 2022

The domestic smart factory is being built and spread rapidly, mainly by mid-sized companies and large enterprises according to the government's active introduction and support policy. But these factories only promote production system and efficiency, so harmfulness and risk factors are not considered. Therefore, to derive harmful risk factors in terms of industrial safety for 12,983 government-supported smart factory workplaces from 2014 to 2019, industrial accident status analysis compared workplaces with automation facilities and government-supported workplaces with automation facilities. Also, to reduce risks associated with domestic smart factory processes, twenty government-supported workplaces with automation facilities underwent analysis, evaluating risks through a status survey using the process evaluation table. In addition, the status survey considered region, size, industry, construction level, and accident rate; the difference in risk according to the structure of the process was confirmed. Based on the smart factory process evaluation results, statistical analysis confirmed that serial, parallel, and hybrid structures pose different risk levels and that the risks of mixed structures are greater. Finally, safety control system application was presented for risk assessment and reduction in the smart factory process, reflecting the results of disaster analysis and actual condition investigation.

• 융합보안논문지
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• 제14권1호
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• pp.43-50
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• 2014

민간경비원은 특별한 법적 권한이 주어지지 않은 일반인과 동등한 법적 지위를 보유하고 있다. 그러나 민간경비산업은 그동안 업무영역의 확대를 가져와 제한적이지만 일부 법적 권한을 보유할 시기가 되었다는 주장이 있다. 이 연구에서는 일본 미국 등 주요국가의 경비원 법적 지위를 비교 분석하고 우리나라 민간경비원의 법적 지위에 관하여는 현행법인 경비업법상의 경비원의 법적 지위를 분석함으로써 우리나라의 민간경비원 법적 지위의 문제점을 도출하고 그에 대한 대안을 제안하는데 목적이 있다.

• 한국보건간호학회지
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• 제26권1호
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• pp.113-125
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• 2012

Purpose: This study was conducted in order to investigate health behaviors and health status and to identify factors that affect health behaviors and health status of the elderly in Daegu. Methods: Analysis of data on 360 Daegu citizens aged 65 and over, which were taken from the 2010 social survey, was analyzed using the SAS program. Results: Results of logistic regression analysis showed that gender, age, education, and economic activity were independent predictors of health behaviors. Economic activity and owner-occupied housing were found to be independent predictors of health status. Conclusion: Findings of this study indicate a need for development of strategies to promote the health of vulnerable members of the elderly population with consideration for these variables that were found to affect health behaviors and health status of elderly citizens.

• Communications for Statistical Applications and Methods
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• 제28권6호
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• pp.611-626
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• 2021

Marital status has been identified as an important risk factor affecting adult mortality. Many studies have found that marriage has positive effects on mortality and increases life expectancy. Since most pension contracts providing retirement income are provided to married couples, mortality assumption for actuarial valuation based on the entire population is likely to overestimate the actual mortality of the group of beneficiaries specified in the contracts. This study considered the differences in mortality according to marital status to analyze the length and value of the payments of a typical pension contract for a married couple. The study quantified the effect on actuarial measurements of considering marital status in mortality assumptions with a multi-state model framework using Korean experience mortality data organized by marital status. The results of analysis indicate that considering marital status in mortality assumptions improves mortality risk management.

• 한국치위생학회지
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• 제18권4호
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• pp.585-595
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• 2018

Objectives: The purposes of this study were to comprehend the subjective dental health status and the level of dental health knowledge in some middle school students and to analyze the correlation with dental health behaviors. Methods: A survey was conducted in some middle school students and the final 637 survey data were analysed. As the statistical analysis methods, the subjective dental health status, dental health knowledge and dental health behaviors according to the general characteristics were analyzed by independent t-test, one way ANOVA and Scheffe. The correlations among the subjective dental health status, dental health knowledge and dental health behavior were found by Pearson's correlation and multiple regression analysis. Results: Through correlation analysis of the subjective dental health status, dental health knowledge and dental health behavior, all showed a significant correlation. As a result of the factor analysis affecting dental behaviors, subjective dental health status was the highest (${\beta}=0.304$, p<0.001). Conclusions: The results of this study suggest that the improvement of subjective dental health status and dental health knowledge related to dental behaviors health in the middle school students should be considered. In addition, dental health education should focus on improving subjective dental health status through motivation rather than knowledge transfer training. Moreover, development programs appropriate for the middle school students whose behavioral changes are hard to obtain are needed.

• 대한치과기공학회지
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• 제42권1호
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• pp.55-64
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• 2020

Purpose: The purpose of this study was to investigate the relationship between systemic diseases and denture wear status in elderly. The subjects of this study were 4,340 seniors aged 65 or older who conducted screenings and health surveys using the National Health and Nutrition Survey data during the sixth period (2013, 2014 and 2015). Methods: For the general characteristics and denture wear status according to general systemic diseases, complex sample frequency analysis and cross-analysis were performed. After controlling the general characteristics, complex sample logistic regression analysis was performed to determine the relationship between systemic diseases and denture wear status. Statistical software was used for SPSS (SPSS 23.0 for Windows, SPSS Inc, USA). Significance level was considered as 0.05. Results: A multisample logistic regression analysis was performed to determine the relationship between systemic diseases and denture wear status. The results showed that the dentured state had a significant effect on dyslipidemia and diabetes. Conclusion: Dyslipidemia and diabetes, which are related to denture wearing condition, need to be prevented and treated with regular checkups. In addition, based on the results of the study, it is thought that the elderly need denture prosthetic treatment after tooth extraction. In addition, it can be used as basic data for oral health business plan that can maintain and manage oral health.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.541-548
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• 2020

This study aimed to explain the factors that influenced an individual's decision to migrate. The method of analysis in this study was the estimation of the probit regression model with data from the Indonesian Family Life Survey (IFLS-5), which covered 30,000 individuals from 13 provinces in Indonesia. Data from IFLS-5 were longitudinal data, meaning that the study was looking for data consistently to get reliable data from respondents. The research variables to determine the individual's decision to migrate were education level, income level, employment status, marital status, land ownership status, health quality, gender, residence status, and poverty status. Individual decision to migrate as a dependent variable was placed as a dummy variable. The results showed that the level of education, income level, employment status, marital status, land ownership status, health quality, and poverty status significantly influenced an individual's decision to migrate. Meanwhile, gender and residence status did not significantly affect an individual's decision to migrate. This research recommends that it is necessary to pursue a policy of economic equality between regions because economic factors are the main trigger for an individual's decision to migrate. Policies to overcome economic disparities among regions will reduce the individual's decision to migrate.

• Safety and Health at Work
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• 제12권1호
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• pp.108-113
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• 2021

Background: This study aimed to investigate the relationship between changes in employment status and new-onset depressive symptoms through a one-year follow-up of permanent waged workers. Methods: We analyzed the open-source data from the Korea Welfare Panel Study. Using the 2017 data, we selected 2,314 permanent waged workers aged 19 to 59 years without depressive symptoms as a base group. The final analysis targeted 2,073 workers who were followed up in 2018. In 2018, there were five categories of employment status for workers who were followed up: permanent, precarious, unemployed, self-employed, and economically inactive. Multiple logistic regression was used to determine the association between employment status change and new-onset depressive symptoms. Results: Adjusted multiple logistic regression analysis showed that among male workers, workers who went from permanent status to being unemployed (odds ratio: 4.50, 95% confidence interval: 1.19 to 17.06) and from permanent status to being precarious workers (odds ratio: 3.15, 95% confidence interval: 1.30 to 7.65) had significantly high levels of new-onset depressive symptoms compared with those who retained their permanent employment status. There were no significant increases in new-onset depressive symptoms of male workers who went from permanent status to being self-employed or economically inactive. On the other hand, no significant differences were found among female workers. Conclusion: Our study suggests that the change of employment status to precarious workers or unemployment can cause new-onset depressive symptoms in male permanent waged workers.

• Journal of Preventive Medicine and Public Health
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• 제28권1호
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• pp.187-205
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• 1995

The purpose of this study was to determine the relationships among the health concern, health practice and health status of Koreans. This study utilized the data from Korean National Health Survey (KNHS) in 1992. The data consisted of random sample of 2,799 individuals (1,304 male and 1,495 females) whose ages were between 20 and 59. The data were analyzed using SAS version 6.04 and LISREL version 7.13. The analytic methods for the study were chi-square analysis and covariance structural analysis. The results of the study were as follows. (1) There were significant positive relationships between health concern level and health practice index, and between health practice index and self-perceived health status. (2) There were negative relationships between practice index and chronic illness, and between health practice index and acute illness only in female. (3) Based on the findings, the structural model of the health concern, health practice, health status and socioeconomic variables was established and then the covariance structural analysis was used. The higher educational level and economic status were, the higher the health concern was. And urban residents were much more concerned with their health than rural residents. The more persons were concerned with health, the more they did health practices. And the more the health practice was, the higher the health status was. The younger the persons were and the higher the health status of one's family was, the higher the health status was. In female, the higher the economic status was, the higher the health status was.