• Environmental Analysis Health and Toxicology
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• 제19권1호
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• pp.65-72
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• 2004

Environmental risk assessment of cadmium compounds was conducted using national monitoring data of aquatic and terrestrial compartments of local area. Aquatic and terrestrial toxicities of cadmium compounds on algae, daphnid, fish, earthworm, springtails and other species were evaluated. The toxicity data evaluated in this study were mainly from ECOTOX database provided by US EPA. Assessment factors were determined according to the EU technical guidance document and/or OECD proposal. Predicted no effect concentration (PNEC) values of aquatic and terrestrial toxicity were 25$\mu\textrm{g}$/L and 0.2 mg/kg, respectively and they were compared with cadmium exposure data of several local areas, which were used as Predicted exposure concentration(PEC) values. Most of the local area were found to be not risky. However, the risk values (PEC/NEC) of some metropolitan areas were greater than 1 when the most conservative PNEC value was applied.

• 한국산업정보학회논문지
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• 제23권6호
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• pp.125-138
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• 2018

최근 기업은 급속한 기술의 변화, 고객 니즈의 다변화, 경쟁 환경의 심화 등으로 인한 시장요인 뿐만 아니라 천재지변, 테러, 사회 정치적 이해관계 등의 통제 불가능한 불안요인으로 인해 예측이 어렵고 불확실성이 높은 경영 환경에 놓여 있어, 리스크 관리의 중요성이 높아지고 있다. 본 연구의 목적은 최근 들어 관심이 높아지고 있는 리스크 관리의 연구 분야에 대해 공급사슬관리(SCM) 분야를 중심으로 연구 동향을 분석하고, 해당 분야의 핵심 연구를 파악하여 해당 분야의 유용한 학문적 정보를 파악하는 것이다. Scopus 데이터베이스를 활용하여 해외 저명한 저널에 게재된 논문 정보를 수집하여 키워드 네트워크 분석과 인용 및 공저자 정보로 생성되는 네트워크를 분석하였다.

• Nuclear Engineering and Technology
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• 제54권8호
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• pp.2924-2932
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• 2022

Motivated by learning from experience and exploiting existing knowledge in civil nuclear operations, we have developed in-house generic Probabilistic Safety Assessment (PSA) models for pressurized and boiling water reactors. The models are computationally light, handy, transparent, user-friendly, and easily adaptable to account for major plant-specific differences. They cover the common internal initiating events, frontline and support systems reliability and dependencies, human-factors, common-cause failures, and account for new factors typically overlooked in many PSAs. For quantification, the models use generic US reliability data, precursor analysis reports, the ETHZ Curated Nuclear Events Database, and experts' opinions. Moreover, uncertainties in the most influential basic events are addressed. The generated results show good agreement with assessments available in the literature with detailed PSAs. We envision the models as an unbiased framework to measure nuclear operational risk with the same "ruler", and hence support inter-plant risk comparisons that are usually not possible due to differences in plant-specific PSA assumptions and scopes. The models can be used for initial risk screening, order-of-magnitude precursor analysis, and other research/pedagogic applications especially when no plant-specific PSAs are available. Finally, we are using the generic models for large-scale precursor analysis that will generate big picture trends, lessons, and insights.

• 운동영양학회지
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• 제24권3호
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• pp.25-31
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• 2020

[Purpose] Epidemiological evidence has shown that leisure-time physical activity and structured exercise before and after breast cancer diagnosis contribute to reducing the risk of breast cancer recurrence and mortality. Thus, in this review, we aimed to summarize the physical activity-dependent regulation of systemic factors to understand the biological and molecular mechanisms involved in the initiation, progression, and survival of breast cancer. [Methods] We systematically reviewed the studies on 1) the relationship between physical activity and the risk of breast cancer, and 2) various systemic factors induced by physical activity and exercise that are potentially linked to breast cancer outcomes. To perform this literature review, PubMed database was searched using the terms "Physical activity OR exercise" and "breast cancer", until August 5th, 2020; then, we reviewed those articles related to biological mechanisms after examining the resulting search list. [Results] There is strong evidence that physical activity reduces the risk of breast cancer, and the protective effect of physical activity on breast cancer has been achieved by long-term regulation of various circulatory factors, such as sex hormones, metabolic hormones, inflammatory factors, adipokines, and myokines. In addition, physical activity substantially alters wholebody homeostasis by affecting numerous other factors, including plasma metabolites, reactive oxygen species, and microRNAs as well as exosomes and gut microbiota profile, and thereby every cell and organ in the whole body might be ultimately affected by the biological perturbation induced by physical activity and exercise. [Conclusion] The understanding of integrative mechanisms will enhance how physical activity can ultimately influence the risk and prognosis of various cancers, including breast cancer. Furthermore, physical activity could be considered an efficacious non-pharmacological therapy, and the promotion of physical activity is probably an effective strategy in primary cancer prevention.

• 한국건설관리학회논문집
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• 제25권1호
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• pp.32-41
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• 2024

건설산업은 안전사고뿐 아니라 공기지연, 원가상승, 환경오염 등의 여러 복합적인 리스크가 발생하며 이를 해결하기 위한 관리기술이 필요하다. 그 중에서 프로젝트에 직접적인 영향을 미치는 공정리스크의 관리는 그 중요성에 비해 관련정보가 부족한 실정이다. 본 연구는 각 프로젝트마다 상이한 분류체계 사용으로 인한 리스크 정보검색의 어려움을 해소하기 위하여 MATM 터널 공정리스크분류체계를 개발하고자 하였다. 리스크수집은 기존 문헌검토와 Experience Mining 기법을 사용하였고 DB구축은 자연어처리 개념을 활용하였다. 분류체계의 구조는 자료의 호환성을 고려하여 기존 WBS 구조를 채택하였고, WBS의 공종과 연결된 RBS를 구축하였다. 연구결과 공종별 리스크를 쉽게 파악하고 리스크에 연결된 리스크특성과 리스크요인이 직관적으로 드러나는 리스크분류체계가 완성되었다. 구축된 분류체계의 활용성 검증결과 사용자의 키워드 입력으로 공종별 리스크와 리스크요인이 쉽게 식별되어 분류체계는 유효한 것으로 나타났다. 본 연구를 통해 NATM터널 계획 및 설계 시 작업공종에 따르는 리스크를 미리 식별하고 그 요인에 맞는 대응방안을 수립하여 비용과 공사기간의 증가를 방지하는데 기여할 수 있을 것으로 기대된다.

• Journal of Welding and Joining
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• 제34권1호
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• pp.54-58
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• 2016

In this research paper, suggest method of generate same bead as an actual measurement data in virtual welding conditions, exploit morphology information of the bead that acquired through robot welding. It has many multiple risk factors to Beginners welding training, by we make possible to train welding in virtual reality, we can reduce welding training risk and welding material to exploit bead visualization algorithm that we suggest so it will be expected to achieve educational, environmental and economical effect. The proposed method is acquire data to each case performing robot welding by set the voltage, current, working angle, process angle, speed and arc length of welding condition value. As Welding condition value is most important thing in decide bead form, we would selected one of baseline each item and then acquired metal followed another factors change. Welding type is FCAW, SMAW and TIG. When welding trainee perform the training, it's difficult to save all of changed information into database likewise working angle, process angle, speed and arc length. So not saving data into database are applying the method to infer the form of bead using a neural network algorithm. The way of bead's visualization is applying the spline algorithm. To accurately represent Morphological information of the bead, requires much of morphological information, so it can occur problem to save into database that is why we using the spline algorithm. By applying the spline algorithm, it can make simplified data and generate accurate bead shape. Through the research paper, the shape of bead generated by the virtual reality was able to improve the accuracy when compared using the form of bead generated by the robot welding to using the morphological information of the bead generated through the robot welding. By express the accurate shape of bead and so can reduce the difference of the actual welding training and virtual welding, it was confirmed that it can be performed safety and high effective virtual welding education.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.313-322
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• 2020

The recognition of the risk hazards is a vital step to effectively prevent accidents on a construction site. The advanced development in computer vision systems and the availability of the large visual database related to construction site made it possible to take quick action in the event of human error and disaster situations that may occur during management supervision. Therefore, it is necessary to analyze the risk factors that need to be managed at the construction site and review appropriate and effective technical methods for each risk factor. This research focuses on analyzing Occupational Safety and Health Agency (OSHA) related to risk zone identification rules that can be adopted by the image recognition technology and classify their risk factors depending on the effective technical method. Therefore, this research developed a pattern-oriented classification of OSHA rules that can employ a large scale of safety hazard recognition. This research uses joint reasoning of risk zone Identification and numeric input by utilizing a stereo camera integrated with an image detection algorithm such as (YOLOv3) and Pyramid Stereo Matching Network (PSMNet). The research result identifies risk zones and raises alarm if a target object enters this zone. It also determines numerical information of a target, which recognizes the length, spacing, and angle of the target. Applying image detection joint logic algorithms might leverage the speed and accuracy of hazard detection due to merging more than one factor to prevent accidents in the job site.

• Safety and Health at Work
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• 제14권3호
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• pp.272-278
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• 2023

Background: Some working conditions may pose a higher physical or psychological demand to pregnant women leading to increased risks of pregnancy complications. Objectives: We assessed the association of woman's employment status and the industrial classification with obstetric complications. Methods: We conducted a national population study using the National Health Information Service database of Republic of Korea. Our analysis encompassed 1,316,310 women who experienced first-order live births in 2010-2019. We collected data on the employment status and the industrial classification of women, as well as their diagnoses of preeclampsia (PE) and gestational diabetes mellitus (GDM) classified as A1 (well controlled by diet) or A2 (requiring medication). We calculated odds ratios (aORs) of complications per employment, and each industrial classification was adjusted for individual risk factors. Results: Most (64.7%) were in employment during pregnancy. Manufacturing (16.4%) and the health and social (16.2%) work represented the most prevalent industries. The health and social work exhibited a higher risk of PE (aOR = 1.11, 95% confidence interval [CI]: 1.03-1.21), while the manufacturing industry demonstrated a higher risk of class A2 GDM (1.20, 95% CI: 1.03-1.41) than financial intermediation. When analyzing both classes of GDM, women who worked in public administration and defense/social security showed higher risk of class A1 GDM (1.04, 95% CI: 1.01, 1.07). When comparing high-risk industries with nonemployment, the health and social work showed a comparable risk of PE (1.02, 95% CI: 0.97, 1.07). Conclusion: Employment was associated with overall lower risks of obstetric complications. Health and social service work can counteract the healthy worker effect in relation to PE. This highlights the importance of further elucidating specific occupational risk factors within the high-risk industries.

• Journal of Preventive Medicine and Public Health
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• 제53권1호
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• pp.56-63
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• 2020

Objectives: The objective of this study was to determine the effect of atrial fibrillation (AF) on the risk of dementia in the Korean elderly. Methods: A 10-year retrospective cohort study was conducted using the National Health Insurance Service-Senior Cohort database. We excluded those who were under 65 years of age as of January 2006 (n=46 113), those who were diagnosed with dementia between 2002 and 2005 (n=9086), and those with a history of stroke prior to AF diagnosis (n=8392). We used a Cox proportional hazards model with a time-varying covariate to determine whether AF is associated with the risk of dementia after adjusting for potential confounders. Results: In univariable Cox regression, the hazard ratio (HR) of dementia according to AF status was 1.28 (95% confidence interval [CI], 1.23 to 1.33). After adjusting for potential confounders, AF was found to increase the risk of dementia (HR, 1.12; 95% CI, 1.07 to 1.17), Alzheimer dementia (HR, 1.12; 95% CI, 1.07 to 1.17), and vascular dementia (HR, 1.10; 95% CI, 1.03 to 1.18). In patients diagnosed with AF, the incidence of dementia was lower (HR, 0.50; 95% CI, 0.47 to 0.52) in patients who were treated with oral anticoagulants. Conclusions: Investigating the potential risk factors of dementia in an aged society is important. We found a slightly higher risk of dementia in those with AF than in those without AF, and we therefore concluded that AF is a potential risk factor for dementia.

• 한국지반공학회논문집
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• 제26권3호
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• pp.59-68
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• 2010

대규모 공간을 대상으로 하는 도심지 공사는 복잡, 다양한 위험요소가 존재하여 체계적인 리스크 관리가 필요하다. 일반적인 토공사와는 달리 제한된 도시공간이라는 특수한 환경에서 공사가 진행되므로 지반 공학적 특성 외에도 사회, 문화적 불확실성을 통합적으로 관리할 수 있는 특화된 리스크 관리체계의 구축이 필요하다. 본 연구는 먼저 대표적인 리스크 관리 기법의 현황 파악을 통해 기술 분석을 하였다. 설문조사를 실시하여 리스크 인자 파악 및 중요도틀 평가하고 공법별, 카테고리별 체계적으로 분류된 DB를 구축하였으며 이를 기반으로 리스크 추출 모듈과 매트릭스, 스코어 기능을 개발하였다. 확률 및 영향 분석 데이터를 몬테카를로 분석을 통해 예상되는 총 공사비 및 공사기간 분포를 산출할 수 있으며 대응 전, 후 공사비 및 공사기간 분포의 비율 분석이 가능하여 프로젝트의 전 기간에 걸쳐 리스크 관리가 가능한 분석 체계를 구축하였다. 구축된 리스크 관리 체계는 관리 기술 표준화 및 통합 시스템 구축의 토대가 될 것이며 통합적 리스크 관리기법의 개발 및 실용화를 통해 사업의 예산확보 및 운영상 효율성 증대, 효과적인 공정 및 자원관리가 가능하여 결과적으로 지하공사 사업관리의 체제화 및 효율성 증대를 가져와 전체 공사비, 공사기간 저감의 효과를 기대할 수 있다.