• 한국재난정보학회:학술대회논문집
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• 한국재난정보학회 2023년 정기학술대회 논문집
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• pp.228-229
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• 2023

이동식크레인은 높은 사망률에 기여하는 기계로 최근 6년간(2016~2021) 사고사망사례 중 건설업 2,574건을 분석한 고위험 요인(SIF)정보에서 이동식크레인의 사고는 총 61건의 재해가 발생하였다. 현장의 안전대책에도 불구하고 제대로 활용이 안되고 있다. 본 연구에서는 표준 리스크 평가 지수를 제시하여 사고예방에 기여하고자 한다

• Safety and Health at Work
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• 제11권3호
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• pp.335-346
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• 2020

Background: Nursing service is a nonroutine work with an excessive physical load and diverse tasks. This study derived representative common tasks based on the frequently occurring tasks with a high physical load in the nursing workers' daily work and developed indicators to evaluate the work risk by reflecting the characteristics of nonroutine work. Methods: Common tasks were classified through the following stages: literature review, first focus group interview (FGI) with experts, first classification of common tasks, second FGI with hospital health managers, a survey of nursing service workers, and the final classification of common tasks for each task type. To develop an objective risk index for physical load assessment, we investigated the frequency and duration of the derived common tasks via survey. Results: Nursing common tasks were categorized into six task types and 56 subtasks. To evaluate the risks of various tasks in nonroutine works, three frequencies and three working time levels were defined by examining the task frequency and working hours. Exposure time was defined to reflect the characteristics of a nonroutine job. The final risk assessment was the product of the exposure time level and job intensity level. From this, four risk action levels were derived. Conclusion: This study has the advantage of solving the problem of focusing on some tasks in evaluating the physical load. It was meaningful in that a new risk assessment index based on exposure time was proposed based on the development of an evaluation scale for frequency and time by reflecting the characteristics of nonroutine work.

• 대기
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• 제30권2호
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• pp.195-207
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• 2020

This study aims to introduce the structure of the impact-based heat health warning system on 165 counties in South Korea developed by the National Institute of Meteorological Sciences. This system was developed using the daily maximum perceived temperature (PTmax), which is a human physiology-based thermal comfort index, and the Local ENSemble prediction system for the probability forecasts. Also, A risk matrix proposed by the World Meteorological Organization was employed for the impact-based forecasts of this system. The threshold value of the risk matrix was separately set depending on regions. In this system, the risk level was issued as four levels (GREEN, YELLOW, ORANGE, RED) for first, second, and third forecast lead-day (LD1, LD2, and LD3). The daily risk level issued by the system was evaluated using emergency heat-related patients obtained at six cities, including Seoul, Incheon, Daejeon, Gwangju, Daegu, and Busan, for LD1 to LD3. The high-risks level occurred more consistently in the shorter lead time (LD3 → LD1) and the performance (r_s) was increased from 0.42 (LD3) to 0.45 (LD1) in all cities. Especially, it showed good performance (r_s = 0.51) in July and August, when heat stress is highest in South Korea. From an impact-based forecasting perspective, PTmax is one of the most suitable temperature indicators for issuing the health risk warnings by heat in South Korea.

• 재무관리연구
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• 제25권3호
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• pp.131-153
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• 2008

본 연구에서는 최근 위험이 점증하고 있는 증권산업에 대한 위험지수를 산출함으로써 증권관련 유관기관에서 국가경제적인 차원에서 증권산업의 위험도를 모니터링하고 위기상황을 예방할 수 있는 대책을 마련할 수 있는 정교하고 포괄적인 재무계량방법론을 제시하고자 하였다. 방대한 자료와 정밀한 계량기법을 통하여 선정된 17개 지표들로부터 2002년 1사분기부터 2007년 2사분기까지 시산된 우리나라 증권산업의 위험지수에 의하면 우리나라의 증권시장에서 2002년 1사분기부터 2003년 1사분기까지, 그리고 2006년 1사분기부터 4사분기까지 위험도가 증가하였고 2003년 2사분기부터 2006년 1사분기까지 우리나라 증권산업의 위험도가 약 22% 감소하였다. 특히 2003년 4사분기와 2004년 1사분기 사이에 우리나라 증권산업의 위험도가 7.72% 감소하여 분기별로는 가장 큰 폭으로 위험도가 감소하였다. 한편 본 연구에서 시산한 한국증권산업의 위험지수는 경제이론에 근거하고 주가와 재무정보를 이용하여 향후 일정기간동안 상장기업의 부도확률을 예측하는 모형인 EDF 부도확률예측모형과도 유사한 결과를 제시하는 것으로 판명 되었다.

• 보건행정학회지
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• 제25권3호
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• pp.197-206
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• 2015

Background: The purpose of this study was to propose a method for developing a measure of hospital-wide all-cause risk-standardized readmissions using administrative claims data in Korea and to discuss further considerations in the refinement and implementation of the readmission measure. Methods: By adapting the methodology of the United States Center for Medicare & Medicaid Services for creating a 30-day readmission measure, we developed a 6-step approach for generating a comparable measure using Korean datasets. Using the 2010 Korean National Health Insurance (NHI) claims data as the development dataset, hierarchical regression models were fitted to calculate a hospital-wide all-cause risk-standardized readmission measure. Six regression models were fitted to calculate the readmission rates of six clinical condition groups, respectively and a single, weighted, overall readmission rate was calculated from the readmission rates of these subgroups. Lastly, the case mix differences among hospitals were risk-adjusted using patient-level comorbidity variables. The model was validated using the 2009 NHI claims data as the validation dataset. Results: The unadjusted, hospital-wide all-cause readmission rate was 13.37%, and the adjusted risk-standardized rate was 10.90%, varying by hospital type. The highest risk-standardized readmission rate was in hospitals (11.43%), followed by general hospitals (9.40%) and tertiary hospitals (7.04%). Conclusion: The newly developed, hospital-wide all-cause readmission measure can be used in quality and performance evaluations of hospitals in Korea. Needed are further methodological refinements of the readmission measures and also strategies to implement the measure as a hospital performance indicator.

• 한국치위생학회지
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• 제14권4호
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• pp.571-576
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• 2014

Objectives : The purpose of this study was to investigate the relationship between early childhood caries(ECC) and breastfeeding. Methods : Data of 670 children were derived from the Forth Korean National Health and Nutrition Examination Survey from 2007 to 2009. Demographic and socioeconomic data, oral health related behavior, and breastfeeding practice data were collected as independent variables. The ECC was used as a dependent variable. The chi-square test and logistic regression analysis were performed to identify the relationship between ECC and the other variables. Results : Multiple logistic regression analysis revealed that ECC was related with age, tooth brushing frequency, and breastfeeding practice. Conclusions : This study confirmed various risk indicators of ECC in Korean children, using Korean national survey data. Parents should begin an early and consistent mouth care regime to decrease the risk of ECC.

• International Journal of Human Ecology
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• 제17권1호
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• pp.27-37
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• 2016

This study was to understand associated factors with frequent exposure to Internet pornography among Korean adolescents. We used data (N = 45,783) from the 2012 Korea Youth Risk Behavior Web-based Survey to examine demographics, family environmental variables, Internet use time, mental health indicators, sexual behavior, and delinquency among Korean adolescents identified as frequent users of Internet pornography. Multiple logistic regression analysis revealed that frequent users of Internet pornography were more likely to be older males with differences in living arrangements and perceived economic status of the family. They were heavy Internet users with mental health issues, such as a higher likelihood of sadness, suicidal ideation, suicide attempts, high stress, and a lower likelihood of feeling happiness. Their higher probability of exploratory (OR =1.79-4.60), and high-risk sexual behavior (OR = 2.20-7.46), and other delinquencies (OR = 1.74-7.68) requires more attention from public health professionals.

• International Journal of Human Ecology
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• 제10권1호
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• pp.61-74
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• 2009

This study identified the health, academic attainment, violence and abuse factors on predicting the conduct development and emotional symptoms in 'looked after children' placement. A sample of 1,543 children was interviewed regarding emotional and behavioral symptoms and risk factors. Logistic regression was used to assess whether selected variables predicted emotional and behavioral symptoms in 'looked after children'. All placement, health, academic, violence, and abuse factors differentiated behavioral and emotional symptom differences according to selected variables. Binary logistic regression indictors of conduct behavior symptom among 'looked after children', included gender, age, placement, health, violence, and abuse. Placement, health, reading ability, violence, and witnessing domestic violence further predicted emotional and behavioral symptoms. These findings highlight multidimensional approaches to address various vulnerability indicators that have a direct application to prevention and intervention efforts to designed for emotional and behavioral problems among children in public care.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.247-253
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• 2021

The outbreak of the deadly virus COVID-19 is said to infect 17.3Cr people around the globe since 2019. This outbreak is continuously affecting a lot of new people till this day and, most of it is said to under control. However, vaccines introduced around the world can help mitigate the risk of the virus. Apart from medical professionals, prediction models are also said to combinedly help predict the risk of infection based on given datasets. This paper is based on publication of a machine learning approach using regression models to predict the output based on dataset which have indictors grouped based on active, tested, recovered and critical cases along with regions and cities covering most of it from Dubai. Hence, the active cases are tested based on the other indicators and other attributes. The coefficient of the determination (r²) is 0.96, which is considered promising. This model can be used as an frame work, among others, to predict the resources related to the dangerous outbreak.

• 한국가스학회지
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• 제26권2호
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• pp.27-38
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• 2022

선진국에서는 공정안전관리제도의 도입으로 사고는 상당히 감소하였으나, 규제적 성격을 띄며, 실질적인 사업장안전관리의 실태를 보여주기 어렵다는 한계를 보인다. 많은 기관에서 공정안전상태를 포괄적으로 모니터링 할 수 있는 공정안전성과지표의 사용을 권장하고 있다. 본 연구에서는 공정안전성과지표 적용을 위하여 관련 Guideline을 비교·분석하고 사업장의 공정안전시스템을 분석하여 지표로 활용하는 방안을 검토하였다. 문헌적 지표에서는 절차의 준수 여부 위주로 확인하는 반면, 시스템 기반의 지표에서는 안전시스템의 특정 목적을 위한 절차나 검사 등을 명확하게 식별할 수 있도록 하고, 운영상태가 어떤지 측정하여 모니터링 할 수 있다. 이러한 특성은 안전관리 활동을 운영함에 있어 도출되는 보완사항들의 명료성 측면에서 더 유리함을 알 수 있다. 이를 활용하여 사업장 안전관리 수준을 효과적으로 보여줄 수 있다.