• Safety and Health at Work
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• 제14권1호
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• pp.43-49
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• 2023

Background: Messaging surrounding skin cancer prevention has previously focused on the general public and emphasized how or when activities should be undertaken to reduce solar ultraviolet radiation (UVR) exposure. Generic messages may not be applicable to all settings, and should be tailored to protect unique and/or highly susceptible subpopulations, such as outdoor workers. The primary objective of this study was to develop a set of tailored, practical, harm-reducing sun safety messages that will better support outdoor workers and their employers in reducing the risk of solar UVR exposure and UVR-related occupational illnesses. Methods: We adapted a core set of sun safety messages previously developed for the general population to be more applicable and actionable by outdoor workers and their employers. This study used an integrated knowledge translation approach and a modified Delphi method (which uses a survey-based consensus process) to tailor the established set of sun safety messages for use for outdoor worker populations. Results: The tailored messages were created with a consideration for what is feasible for outdoor workers, and provide users with key facts, recommendations, and tips related to preventing skin cancer, eye damage, and heat stress, specifically when working outdoors. Conclusion: The resulting tailored messages are a set of evidence-based, expert- approved, and stakeholder-workshopped messages that can be used in a variety of work settings as part of an exposure control plan for employers with outdoor workers.

• 전기전자학회논문지
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• 제19권1호
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• pp.64-72
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• 2015

본 연구에서는 연료 필터의 생산성 향상을 위하여 IT기반의 갱추리 자동화 장치를 개발한다. 불량 제품의 분석, 수율 개선 및 생산성 향상을 위해 자동화 장치와 연동된 IT 기반의 모니터링 시스템 구축을 구축한다. 3개월간 시료 10,000개 생산시의 불량률 비교 측정한 결과 불량률이 0.65%에서 0.45%로 감소하였다. 또한 공구 모니터링을 통하여 공구 교환 시기의 알림과 로더의 정확한 소재의 수입으로 소재의 불량이 감소하였고, 소재 한 개에 대하여 수입에서 배출까지 공정 시간을 비교한 결과 94.7초에서 78.8초로 감소하여 생산성 증가하였다. 수작업으로 하던 소재의 수입/배출을 자동화로 구축하여 공정시간이 20.2% 감소한다. 또한 작업자 안전과 이송시간 감소는 생산성 향상과 직결된다.

• 한국산업보건학회지
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• 제15권1호
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• pp.19-26
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• 2005

In previous report, we presented that petroleum based solvents used in dry cleaning shop was almost similar to stoddard solvent defined by ACGIH and NIOSH, and the occupational exposure standard of stoddard solvent could be used in total exposure assessment of those solvents. The specific aim of the this study was to evaluate of the solvent exposure used in commercial dry cleaning shops by using occupational exposure standard of stoddard solvent. We conducted first survey of 8 self-employed dry cleaning shops and 5 factory type dry cleaning shops from July to August, and second survey of the same shops from October to November in 2002. The exposure concentration to the solvent during loading and unloading activity of vented dry cleaning machine was 489.2ppm(GM), 270.3ppm(GM), respectively, which was almost excursion limit(500ppm) of ACGIH, and exceed the ceiling limit(312ppm) of NIOSH. The time-weighted average (TWA) worker exposure to the solvent was 21.3ppm(GM) at self-employed shops, 20.7ppm(GM) at factory type shops on first survey, and 31.1ppm(GM), 33.7ppm(GM), respectively on second survey. The TWA exposure concentration of workers with spotting and cleaning machine operating job was 25.4ppm(GM), which was 2.9 times higher than the TWA exposure concentration, 8.8ppm(GM) of press workers. All TWA exposure concentrations was lower than OEL(100ppm) of stoddard solvent. We found that the most heavy exposure process at dry cleaning was loading, unloading process, and the vent of dry cleaning machine was the main emission source for workers exposure to petroleum based solvent.

• 한국산업보건학회지
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• 제22권4호
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• pp.265-275
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• 2012

Objectives: The aim of this study was to investigate the distribution patterns and exposure concentrations of biological hazards in waste handling industries. Methods: We selected 3 recyclable waste sorting plants(RWS), 2 food recycling plants(FR), 1 landfill area(LA) and 1 waste incineration plant(WI). Total airborne bacteria and fungi were measured with single stage impactor and gelatin filters. Endotoxin and glucan were measured with polycarbonate filters in total and respirable dust. Results: The geometric mean of airborne bacterial concentration was the highest in FR($3,273CFU/m^3$), followed by LA, RWS, and WI as 1,334, 934, and $860CFU/m^3$. The fungal concentrations were 6,031, 5,052, 3,307, and $713CFU/m^3$ in RWS, WI, FR, and LA, respectively. By process, WI pit showed the highest concentrations of bacteria, fungi, and endotoxin, followed by inside of bulldozer in LA. The indoor to outdoor ratios of bacteria, fungi, endotoxin and glucan were 2.3, 4.0, 2.3, and 5.0 in RWS, 29.5, 4.9, 7.6, and 5.0 in FR, 5.3, 8.7, 26.8, and 9.5 in WI, respectively. Conclusions: We found that biological hazards, specifically bacteria in FR, fungi in RWS and endotoxin in WI pit and bulldozer at LA, should be controlled to prevent worker's respiratory diseases.

• 한국CDE학회논문집
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• 제17권2호
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• pp.79-90
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• 2012

In digital virtual manufacturing simulation, Digital Human widely used to optimal workplace design, enhancing worker safety in the workplace, and improving product quality. However, the case of ergonomics simulation solutions to support digital human modeling, Optimal DHM (Digital Human Model) data needed to develop and perform DHM will collect information related to the production process. So simulation developer has burden of collecting information. In this study, to overcome the limitations of existing solutions, we proposed the ADAGIO(Automated Digital humAn model development for General assembly usIng Ontology) framework. The ADAGIO framework was developed for DHM ontology to support optimal deployment of digital virtual environment and in order to ensure consistency of simulation components that are required for simulation modeling was made of a library.

• Nuclear Engineering and Technology
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• 제55권12호
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• pp.4695-4702
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• 2023

Nuclear power plants play a pivotal role in the global energy infrastructure, fulfilling a substantial share of the world's energy requirements in a sustainable way. The management of these facilities, especially the handling of spent nuclear fuel (SNF), necessitates meticulous inspections to guarantee operational safety and efficiency. However, the prevailing inspection methodologies lean heavily on human operators, which presents challenges due to the potential hazards of the SNF environment. This study introduces the design of a novel Pre-Batched Inspection Strategy (PBIS) that integrates robotic automation and image processing techniques to bolster the inspection process. This methodology deploys robotics to undertake tasks that could be perilous or time-intensive for humans, while image processing techniques are used for precise identification of SNF targets and regulating the robotic system. The implementation of PBIS holds considerable promise in minimizing inspection time and enhancing worker safety. This paper elaborates on the structure, capabilities, and application of PBIS, underlining its potential implications for the future of nuclear energy inspections.

• 한국가스학회지
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• 제25권3호
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• pp.9-15
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• 2021

본 논문에서는 산업현장 화학물질 인체 접촉 증상 기반 지식베이스 구축 및 화학물질 추정 시스템 설계에 대한 연구이다. 미국NIH에서 제공하는 WISER 프로그램의 499개의 화학물질 접촉 증상 정보로 활용하였다. 지식베이스 구축을 위해 AllegroGraph 7.0.1 프로그램을 이용하였으며 입력된 Chemical structure로 Triple 값인 Cas No., Synonyms, Symptom, SMILES, InChl, Formula를 사용 하였다. 또한 작업자의 증상을 안내하는 방법은 AI 스피커를 활용한 방식이 가능하며 지식베이스 구축 결과 암모니아(CAS No: 7664-41-7)를 기준으로 39개의 증상이 WISER 프로그램과 동일함을 확인 하였다. 이를 통해 화학물질 추정 시스템의 증상 추출 과정에 지식베이스 구축이 가능하였다.

• 한국BIM학회 논문집
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• 제11권2호
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• pp.24-32
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• 2021

Recently, starting with smart construction research, interest in technology that automates construction site management using artificial intelligence technology is increasing. In order to automate construction site management, it is necessary to recognize objects such as construction equipment or workers, and automatically analyze the relationship between them. For example, if the relationship between workers and construction equipment at a construction site can be known, various use cases of site management such as work productivity, equipment operation status monitoring, and safety management can be implemented. This study derives a real-time object detection platform architecture that is required when performing construction site management using deep learning technology, which has recently been increasingly used. To this end, deep learning models that support real-time object detection are investigated and analyzed. Based on this, a deep learning model development process required for real-time construction site object detection is defined. Based on the defined process, a prototype that learns and detects construction site objects is developed, and then platform development considerations and architecture are derived from the results.

• 한국식품위생안전성학회지
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• 제29권4호
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• pp.268-277
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• 2014

본 연구는 미나리 수확 후 처리환경의 미생물학적 위해 요소를 조사하기 위해 4개 지역의 미나리 재배농가 9곳을 선정하였다. 미나리 재배농가로부터 다양한 시료를 채취하여 위생지표세균과 병원성 미생물(Escherichia coli O157:H7, Listeria monocytogenes, Staphylococcus aureus and Bacillus cereus)에 대한 오염도를 조사하였다. 먼저, 9개 농가의 재배환경의 미생물 오염도를 분석한 결과 총 호기성 세균과 대장균군이 각각 0~7.00, 0~4.25 log CFU/g, mL, or $100cm^2$ 수준으로 검출되었다. 대장균(E. coli)은 몇몇 농가의 토양, 관개용수, 세척수 및 작업자의 손에서 양성반응을 확인하였으며, 양성반응이 관찰된 농가의 경우 작물인 미나리에서도 양성반응을 보였다. 병원성 미생물 중 B. cereus는 토양에서 가장 많이 검출되었으며, 한 농가의 미나리를 제외한 모든 농가의 세척 후 미나리에서 평균 1.2 log CFU/g수준으로 검출되었다. 황색포도상구균은 세척 후 미나리에서 한 건 정성적으로 검출되었으며, 이외에 다른 병원성 미생물은 관찰되지 않았다. 미나리의 경우 손질 및 세척 후에도 오염도가 유사하거나 오히려 다소 증가하는 경향을 보였다. 이상의 결과 미나리 생산농가의 수확 후 처리 시설 및 작업자에 의해 미생물의 교차 오염 가능성이 있으므로 이에 대한 위생관리를 철저히 해야 한다. 또한, 안전성이 확보된 미나리 생산을 위해서는 GAP와 같은 관리제도의 적용이 필요하다.

• 한국산업보건학회지
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• 제19권3호
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• pp.280-287
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• 2009

High-tech microelectronics industry is known as one of the most chemical-intensive industries. In Korea, Microelectronics industry occupied 38% of export and 16% of working employees work in microelectronics industry. But, chemical information and health hazards of high-tech microelectronics manufacturing are poorly understood because of rapid development and its penchant for secrecy. We need to investigate on chemical use and exposure control. We Site-visits to 6 high-tech microelectronics manufacturing company which have cleanroom work using over 1,000kg organic solvents (5 semi-conductor chips and its related parts company, 1 liquid crystal display (LCD)). We reviewed their data on chemical use and ventilation system, and measured TVOCs (Total Volatile Organic Compounds) and carbon dioxide concentration. All cleanroom air passed through hepa filters to acheive low particle levels and only 1 cleanroom uses carbon filters to minimize the organic solvents exposures In TVOC screening test, Cleanroom for semi-conductor chips and its related parts company with laminar down flow system (e.g. class 1~100) showed nondetectable level of TVOCs concentration, but Cleanroom for liquid crystal display (LCD) with conventional flow system (e.g. class 1,000~10,000) showed 327 ppm as TVOCs. Acetone concentration in cleanroom for Jig cleaning, LC Injection, Sealing processes were 18.488ppm (n=14), 49.762 ppm (n=15), 8.656 ppm (n=14) as arithmetric mean. Acetone concentration in cleanroom for LCD inspection process was 40ppm (n=55) as geometric mean, where the range was 7.8~128.7ppm and weakly correlated with ventilation rate efficiency(r=0.44, p<0.05). To control organic solvents in cleanrooms, chemical and carbon filters should be installed with hepa filters. Even though their volatile organic compounds concentration was not exceed to occupational exposure limits, considering of entrance limited cleanroom environment, long-term period exposure effects and adverse health effects of cleanroom worker need further reseach.