• Journal of the Korean Society of Safety
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• v.37 no.5
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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.

• Journal of the Ergonomics Society of Korea
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• v.30 no.1
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• pp.87-98
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• 2011

In this study, we investigated and identified criterial human factors(errors), most of which lead to terrible ship accidents such as collisions, sinking, fire and explosions resulting both in human lives and physical damages to ships as well as surrounding environments. To this end, we went through the accident reports of 413 cases over 2005~2009 period and classified the human factors into 6 major factors with 19 sub ones which were constructed in hierarchical order. The relative importance of major factors was calculated and among others the lack of awareness turned out to be the most important factor with the weight of 0.391. The contributions of the results in the research are two fold: it will help (i) identify the root causes of ship accidents and prevent further potential ship related incidents, (ii) analyze the degree of the risk associated with the ship accidents, when risk analysis is performed.

• Steel and Composite Structures
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• v.47 no.4
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• pp.451-454
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• 2023

Landslides are one of the natural disasters that cause a lot of financial and human losses every year It will be all over the world. China, especially. The Mainland China can be divided into 12 zones, including 4 high susceptibility zones, 7 medium susceptibility zones and 1 low susceptibility zone, according to landslide proneness. Climate and physiography are always at risk of landslides. The purpose of this research is to prepare a landslide hazard map using the Hierarchical Analysis Process method. In the GIS environment, it is in a part of China watershed. In order to prepare a landslide hazard map, first with Field studies, a distribution map of landslides in the area and then a map of factors affecting landslides were prepared. In the next stage, the factors are prioritized using expert opinion and hierarchical analysis process and nine factors including height, slope, slope direction, geological units, land use, distance from Waterway, distance from the road, distance from the fault and rainfall map were selected as effective factors. Then Landslide risk zoning in the region was done using the hierarchical analysis process model. The results showed that the three factors of geological units, distance from the road and slope are the most important have had an effect on the occurrence of landslides in the region, while the two factors of fault and rainfall have the least effect The landslide occurred in the region.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.79-86
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• 2021

In order to increase the probability of success in big data projects, quantified techniques are required to analyze the root cause of risks from complex causes and establish optimal countermeasures. To this end, this study measures risk factors and relationships through SNA analysis and presents a way to respond to risks based on them. In other words, it derives a dependency network matrix by utilizing the results of correlation analysis between risk groups in the big data projects presented in the preliminary study and performs SNA analysis. In order to derive the dependency network matrix, partial correlation is obtained from the correlation between the risk nodes, and activity dependencies are derived by node by calculating the correlation influence and correlation dependency, thereby producing the causal relationship between the risk nodes and the degree of influence between all nodes in correlation. Recognizing the root cause of risks from networks between risk factors derived through SNA between risk factors enables more optimized and efficient risk management. This study is the first to apply SNA analysis techniques in relation to risk management response, and the results of this study are significant in that it not only optimizes the sequence of risk management for major risks in relation to risk management in IT projects but also presents a new risk analysis technique for risk control.

• Journal of Korean Public Health Nursing
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• v.36 no.2
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• pp.170-183
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• 2022

Purpose: This descriptive survey-based study aimed to identify the factors associated with obese adults' quality of life (QOL) using a secondary analysis of data collected through the 8th Korea National Health and Nutrition Examination Survey (2019). Methods: In this study, factors affecting the health-related quality of life of obese adults were analyzed by categorizing them into three independent variables: general characteristics, health behaviors, and mental health characteristics. Using t-test and analysis of variance (ANOVA), an analysis was performed to determine the differences in obese adults' QOL depending on their general characteristics, health behaviors, and mental health conditions. A hierarchical regression analysis was performed to identify the factors that affect obese adults' QOL. Results: In obese adults' general characteristics, the risk factors for QOL were older age, male, lower-income level, presence of spouse, and occupation. With regard to health behaviors, the risk factors were lack of exercise. In terms of mental health conditions, the risk factors were stress and suicidal ideation. Conclusion: Obese adults' QOL was affected by age, sex, income level, absence/presence of a spouse, occupation, health behaviors (e.g., exercise), and mental health conditions (e.g., stress and suicidal ideation).

• Journal of the Korean Society of Physical Medicine
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• v.19 no.1
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• pp.23-30
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• 2024

PURPOSE: The purpose of this study is to identify the incidence of chronic obstructive pulmonary disease (COPD) and risk factors for diseases in adults over 40 years of age in Korea, and to provide basic data for the prevention of COPD incidence through management. METHODS: Based on the 2019 data of the Korea National Health and Nutrition Examination Survey (KNHANES), 1,788 adults over the age of 40 who participated in pulmonary function test and health survey were selected as subjects. COPD incidence risk factors were analyzed using complex sample multiple logistic regression analysis. RESULTS: As a result of the analysis, the incidence of COPD in Korea was 11.5%, and the risk of developing COPD was higher in men, age, and current smokers. Compared to women, men had an increased risk of developing COPD by 2.369 times (95% CI 1.289-4.355). In age, the risk of COPD incidence increased by 3.702-fold (95% CI 1.923-7.124) in their 50s, 11.238-fold (95% CI 6.009-21.017) in their 60s, and 28.320-fold (95% CI 14.328-55.977) in their 70s compared to those in their 40s. In the smoking state, 2.302 times (95% CI 1.373-3.860) of past smokers and 4.542 times (95% CI 2.694-7.658) of current smokers were found to have a higher risk of developing COPD than non-smokers. CONCLUSION: To reduce the incidence of COPD, interventions are required to prevent disease development through lifestyle and smoking cessation education in subjects with COPD risk factors.

• Journal of Korean Academy of Nursing
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• v.34 no.3
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• pp.430-439
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• 2004

Purpose: The purpose of this study was to examine risk factors for sexual behaviors in Korean female high school students. Methods: Data was collected by a written questionnaire from June 22 to July 18, 2002 from 522 girls, who were stratified samples from a target population of 63,375 11th grade students from 200 regular high schools and 70 vocational high schools in Seoul, Korea. We conducted multiple regression analysis using the SAS pc＋ program. Results: Risk factors for intimate behaviors were association with boy friends, differential association, family attachment, and family abuse experience. These variables cause 68% of intimate behaviors. Risk factors for sexual experiences were differential association, association with boy friend, and family attachment. These variables cause 14% of sexual experiences. Conclusion: Efforts to reduce sexual behaviors in girls should include the possible role of peers and develop peer leader programs.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.21 no.3
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• pp.264-274
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• 2014

Purpose: This study was done to determine inpatient fall rates in an acute hospital setting and to explore risk factors and characteristics across clinical departments. Methods: The medical records and standardized fall reports of 416 patients admitted between January 1 and December 31, 2012 were reviewed. Descriptive statistics and statistical tests were used, including: t-test, ${\chi}^2$-test, ANOVA. Results: The total fall rate per 1,000 inpatient days was 0.49. Fall rate, fall risk factors and characteristics such as age, type of fallers and mean MFS (Morse Fall Scale) differed significantly among clinical departments. Conclusions: The analysis results show that the fall rates, fall risk factors and characteristics of acute hospital inpatient falls varied significantly across clinical departments. The findings of this study suggest that hospitals should consider differences in fall related characteristics across clinical departments when implementation fall prevention strategies and interventions.

• Transactions of the Korean Society of Automotive Engineers
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• v.21 no.5
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• pp.130-135
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• 2013

Until now, passenger airbag design is based on the referred car design and many repetitive crash tests have been done to meet the crash performance. In this paper, it was suggested a new design process of passenger airbag. First, key performance factors were determined by analyzing the injury risk effectiveness of each performance factor. And it was made a relationship between injury risk and performance factor by using the response surface model. By using this one, it can be predicted the injury risk of head and neck. Predicted injury risk of optimal design was obtained through this injury risk prediction model and it was verified by FE analysis result within 18% error of head and 9% error of neck. It was shown that a target crash performance can be met by controlling the key performance factors only.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.05a
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• pp.192-193
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• 2013

In recent years, risks associated with mixed used development in urban regeneration projects which have actively been implemented have been on the rise due to uncertainties and complexities of those projects. Thus, risk management is needed to effectively manage those risks that may occur during the process of a project. Many studies have contributed to deal with risk management of those projects. These studies, however, have focused main on identification stage and deriving the main risk factors and have limitations on presenting the relationship among those risk factors. Since many risks are interdependent and have multiple effects, the purpose of this study is to present a way(ISM method) to provide a hierarchical structural framework of risks in Urban Regeneration. The structural of risks can helps decision makers to trace the actual source of these risks.