• Proceedings of the KSR Conference
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• 2004.10a
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• pp.1588-1594
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• 2004

This study discovers the variables in the railway safety management which give impacts to safety cognition of the employees. Next we do factor analysis to find out latent variables which include safety variables and regression analysis to measure the explanation power of the latent variables. We got the results that expertness latent variable explains the variation of the accidents more than other latest variables

• Journal of the Korean Society of Safety
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• v.38 no.1
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• pp.1-8
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• 2023

It is extremely important to design safety-guaranteed industrial processes because such process determine the ultimate outcomes of industrial activities, including worker safety. Application of artificial intelligence (AI) in industrial safety involves modeling industrial safety systems by using vast amounts of safety-related data, accident prediction, and accident prevention based on predictions. As a preliminary step toward realizing AI-based industrial safety in Korea, this study discusses neural network-based modeling of industrial safety systems. The input variables that are the most discriminatory relative to the output variables of industrial safety processes are selected using two information-theoretic measures, namely entropy and cross entropy. Normalized frequency and severity of industrial accidents are selected as the output variables. Our simulation results confirm the effectiveness of the proposed neural network model and, therefore, the feasibility of extending the model to include more input and output variables.

• The Journal of Korean Academic Society of Nursing Education
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• v.13 no.1
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• pp.66-73
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• 2007

Purpose: The study was aimed to investigate the related variables with child care teachers in early childhood care and education centers affecting their self-confidence of safety performance for the children. Method: Structured questionnaires were distributed and self administered by the child care teachers in early childhood care and education centers. The study participants consisted of 482 teachers in early childhood care and education centers in Seoul. 394 questionnaires were analyzed for this study. SPSS 12.0 for Windows was used to analyze the collected data. Result: Teachers' knowledge on safety, teachers' beliefs in safety performance teachers' self-efficacy, and social support were statistically related to confidence in safety performance significantly with positive relationship. Job stress was related to confidence in safety performance with significant negative relationship. After binding each 4 clusters of variables, the most significant teacher related variables affecting teachers' confidence in safety performance was teachers' knowledge on safety statistically significantly, and those 4 variables explained 22.2% of teachers' confidence in safety performance. Conclusion: 4 related variables, teachers' knowledge on safety, teachers' self-efficacy, teachers' exposure to safety education, and social support, were identified significant factors affecting self-confidence of childcare teachers' safety performance for the children.

• Nuclear Engineering and Technology
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• v.54 no.6
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• pp.2084-2093
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• 2022

Probabilistic safety assessment is widely used to quantify the risks of nuclear power plants and their uncertainties. When the lognormal distribution describes the uncertainties of basic events, the uncertainty of the top event in a fault tree is approximated with the sum of lognormal random variables after minimal cutsets are obtained, and rare-event approximation is applied. As handling complicated analytic expressions for the sum of lognormal random variables is challenging, several approximation methods, especially Monte Carlo simulation, are widely used in practice for uncertainty analysis. In this study, a theoretical approach for analyzing the sum of lognormal random variables using an efficient numerical integration method is proposed for uncertainty analysis in probability safety assessments. The change of variables from correlated random variables with a complicated region of integration to independent random variables with a unit hypercube region of integration is applied to obtain an efficient numerical integration. The theoretical advantages of the proposed method over other approximation methods are shown through a benchmark problem. The proposed method provides an accurate and efficient approach to calculate the uncertainty of the top event in probabilistic safety assessment when the uncertainties of basic events are described with lognormal random variables.

• Journal of the Korean Society of Safety
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• v.31 no.3
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• pp.109-115
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• 2016

This study examined the effects of safety-aisle on the safety climate, safety leadership, safety behavior, work loading and perceived accident risk in the small sawmilling industry. We distributed a questionnaire that measured various demographic variables, safety related variables by mail to 200 sawmilling companies. Finally 59 managers' and 129 workers' questionnaires were used for data analysis. An independent t-test was conducted to identify significant mean differences of safety related variables between safety-aisle installed and non-installed companies. Results indicated that mean differences of safety climate and safety behavior between safety-aisle installed and non-installed companies were significant. However, mean differences of safety leadership, work loading and perceived risk were not significant at the p < .05 level. Based on these results, the implications of this study and suggestions for future research were discussed.

• Journal of the Korean Society of Safety
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• v.37 no.2
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• pp.18-27
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• 2022

Construction accidents are difficult to prevent because several different types of activities occur simultaneously. The current method of accident analysis only indicates the number of occurrences for one or two variables and accidents have not reduced as a result of safety measures that focus solely on individual variables. Even if accident data is analyzed to establish appropriate safety measures, it is difficult to derive significant results due to a large number of data variables, elements, and qualitative records. In this study, in order to simplify the analysis and approach this complex problem logically, data preprocessing techniques, such as latent class cluster analysis (LCCA) and predictor importance were used to discover the most influential variables. Finally, the correlation was analyzed using an alluvial flow diagram consisting of seven variables and fourteen elements based on accident data. The alluvial diagram analysis using reduced variables and elements enabled the identification of accident trends into four categories. The findings of this study demonstrate that complex and diverse construction accident data can yield relevant analysis results, assisting in the prevention of accidents.

• Journal of Korean Academy of Nursing
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• v.52 no.4
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• pp.363-377
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• 2022

Purpose: This study aimed to test a hypothetical model of Korean nurses' patient safety management activities using meta-analytic path analysis. Methods: A systematic review, meta-analysis, and meta-analytic path analysis were conducted following the PRISMA and MOOSE guidelines. Seventy-four studies for the meta-analysis and 92 for the meta-analytic path analysis were included. The R software program (Version 3.6.3) was used for data analysis. Results: Four variables out of 49 relevant variables were selected in the meta-analysis. These four variables showed large effect sizes (ESr = .54) or median effect sizes (ESr = .33~.40) with the highest k (number of studies) in the individual, job, and organizational categories. The hypothetical model for the meta-analytic path analysis was established using these variables and patient safety management activities. Twelve hypothetical paths were set and tested. Finally, the perception of the importance of patient safety management and patient safety competency directly affected patient safety management activities. In addition, self-efficacy, the perception of the importance of patient safety management, patient safety competency, and patient safety culture, indirectly affected patient safety management activities. Conclusion: Self-efficacy, the perception of the importance of patient safety management, patient safety competency, and the organization's patient safety culture should be enhanced to improve nurses' patient safety management activities.

• Journal of the Korean Home Economics Association
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• v.36 no.3
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• pp.1-14
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• 1998

This research focuses the safety problems for consumers with the viewpoint of behaviorism. Specially three issues are addressed: 1) Variables influencing the consumer's safety consciousness 2) The comparision of consumer's safety seeking behavior according to the product type 3) The relation of variables influencing the consumer's safety-seeking behaviors. In this paper, I deal with mainly the gas products and agricultural products and then observe the consumers' reaction for those two products concerning to the consumer's safety problem. For this purpose, I distributed the questionnaire to the residents I Seoul and suburban area of age between 20 and 60 years old. As a result, consumers put high values and concerns on general safety, but have quite negative concepts on society's safety problems generally. It was found that the consciousness on this problem was higher among those people who were reading journals for consumers, who have high education or high incomes, or who were unemployed house wives. In gas products, the level of consumer's safety seeking behavior and subareas were higher than in agricultural products. In the matter of the variables which affect the consumer's safety seeking behavior directly, those were safety consciousness variables and experience of reading journal for consumer in gas products, and safety consciousness vatiabls, consumer education experience, experience of injury, being employed and being married in agricultural products. Also as the result of path analysis, experience of reading journal for consumer, being employed, education and income level influenced indirectly the consumer safety seeking behavior.

• 한국항공우주법학회:학술대회논문집
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• 2008.05a
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• pp.165-182
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• 2008

The purpose of this study is to review the changes in the aviation safety management system, how that system has evolved and what forces caused these changes to take place. Also included is an examination of the development process of the aviation safety management system in view of the new institutionalism, identifying the patterns of change. Based on the results of this study, I propose policy methods to design a desirable civil aviation safety system with a view toward raising the safety standards in the Korean civil aviation community. The major analysis variables are as follows: first, aviation accidents caused by external factors and international standards as independent variables; second, environmental changes and political processes affecting aviation safety management system as major mediating variables; and third, the aviation safety management legal system, the aviation safety management organizations and an expert participation system as dependent variables. The institutional changes and continuance of the aviation safety management system show that when specific circumstances arise, the continuance lasts depending on the path dependency, and in a certain circumstance, when immanent changing factors reach a critical point, the system suddenly changes by a punctuated equilibrium, which are all included in this study.

• Journal of the Korean Society of Safety
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• v.30 no.4
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• pp.151-158
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• 2015

Usually risk assessment is performed for the safety of diverse industries though, many kinds of risks cannot be analyzed effectively by using classical probability models due to lack of experience data and impreciseness of human decision making. For these reasons, fuzzy risk assessment utilizing subjective judgment and experience of skillful experts has been considered as a solution. In this study, to comprehend the relationship between conventional fuzzy theory and human conceptual images on risks, linguistic variables were reviewed with reference to fuzzy membership functions, especially in the Korean language. As interviewees, about a hundred people including students as well as safety engineers voluntarily participated. The research results showed that most people were in favor of adjective expressions decorated with adverbs rather than naive expressions such as "high" or "low", and that directly translated linguistic variables were not appropriate for the Korean people in risk assessment as far. Therefore, with consideration of the selection tendency by the Korean people in linguistic variables, it could be concluded that 5 level expressions would be most favorable for linguistic variables in risk assessments in Korea.