• 한국산업보건학회지
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• 제26권2호
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• pp.198-209
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• 2016

Objectives: This study aimed to provide basic data for the improvement of the guidance services for the management of the workplace environment of the specialized health management institution, by making inquiries on the perception and extent of practice by health managers and workers in the workplace. Methods: Workplaces with officially noted environmental hazards of noise, organic compounds and/or dust-metals were selected in a South Korean metropolitan city in 2015. The workplace health managers(hereinafter referred to as 'manager') and workers at 97 workplace were interviewed. Managers are those who are in charge of health management at the corresponding workplace and the workers were subjected to in-depth interviews by sampling one worker for each of the workplace. Results: The majority of the managers acknowledged the guidance services of the specialized health management institution affirmatively. Regarding the extent of practice in accordance with the guidance on engineering improvement, only 23 managers(37.1%) responded. With respect to education, 40 managers(41.2%) responded that it was implemented along with 35 workers(36.1%) who responded that they received education, showing no significant difference between manager and worker. Regarding the actual wearing of the protective equipment, however, 83 of the manager(85.6%) insisted that workers wore the protective devices while only 44 workers(49.5%) responded that they actually wore the devices, thereby illustrating a significant difference between managers and workers. Conclusions: These results suggest the urgent necessity of improvement in the mechanism of guidance services of the specialized health management institution for the workplace environment management.

• Safety and Health at Work
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• 제14권3호
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• pp.279-286
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• 2023

Background: This study aimed to evaluate the association between exposure to occupational hazards and the metabolic syndrome. A secondary objective was to analyze the additive and multiplicative effects of exposure to risk factors. Methods: This retrospective cohort was based on 31,615 health examinees at the Pusan National University Yangsan Hospital in Republic of Korea from 2012-2021. Demographic and behavior-related risk factors were treated as confounding factors, whereas three physical factors, 19 organic solvents and aerosols, and 13 metals and dust were considered occupational risk factors. Time-dependent Cox regression analysis was used to calculate hazard ratios. Results: The risk of metabolic syndrome was significantly higher in night shift workers (hazard ratio = 1.45: 95% confidence interval = 1.36-1.54) and workers who were exposed to noise (1.15:1.07-1.24). Exposure to some other risk factors was also significantly associated with a higher risk of metabolic syndrome. They were dimethylformamide, acetonitrile, trichloroethylene, xylene, styrene, toluene, dichloromethane, copper, antimony, lead, copper, iron, welding fume, and manganese. Among the 28 significant pairs, 19 exhibited both positive additive and multiplicative effects. Conclusions: Exposure to single or combined occupational risk factors may increase the risk of developing metabolic syndrome. Working conditions should be monitored and improved to reduce exposure to occupational hazards and prevent the development of the metabolic syndrome.

• 한국산업보건학회지
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• 제33권4호
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• pp.419-426
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• 2023

Objectives: This study aims to develop an Occupational Safety and Health (OSH) guide for the safe cleaning of contaminated machinery, equipment, and parts used in the electronics manufacturing process. Methods: A literature review, field investigations, and discussions were conducted. An initial draft of an OSH guide was developed and reviewed by experts with significant experience in maintenance work in the electronics manufacturing process in order to refine the guide. Results: Workers involved in cleaning processes with chemicals, solvents, and abrasive blasting can face exposure to a wide range of chemicals, abrasives, and noise. Identifying potential risks associated with each cleaning technique was an essential first step toward enhancing safety measures. The OSH guide comprises approximately eleven to twelve sections spanning 20-25 pages. It includes engineering and administrative protocols systematically organized to address the necessary actions before, during, and after cleaning tasks, depending on the technique. It is recommended that airline respirator masks be used in conjunction with an air purification system to ensure adherence to air quality standard "D" for atmosphere level. The use of an oil-free air compressor is advised, preferably a stationary model that does not rely on fuel sources like diesel. Conclusions: This OSH guide is designed to protect workers involved in maintenance activity in the electronics industry and aligns with global standards, such as those from the International Organization for Standardization (ISO) and Semiconductor Equipment and Material International, ensuring a higher level of safety and compliance.

• 한국환경과학회지
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• 제33권3호
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• pp.217-226
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• 2024

Manufacturing workers face increased fatigue and stress due to environmental factors in workplace such as noise and vibration. Addressing this issue requires creating conducive rest spaces; however, the existing conditions of rest spaces in manufacturing workplace are subpar and lack sufficient scholarly evidence. This study investigated the effect of nature-based rest spaces on the physical and emotional recovery from fatigue on manufacturing workers. Three manufacturing complexes with nature-friendly rest spaces were selected, and 63 manufacturing workers participated in the study. The measurement tools included the Multidimensional Fatigue Scale (MFS) for fatigue levels, physiological indicators (blood pressure and heart rate), and emotional indicators (Zuckerman Inventory of Personal Reaction Scale; ZIPERS, Perceived Restorativeness Scale; PRS, Profile of Mood States; POMS and State-Trait Anxiety Inventory; STAI). The study compared recovery levels during a 7-minute rest between a space without plants and a space with natural elements. The results indicated a significant reduction in systolic and diastolic blood pressure of participants in green rest spaces compared with those in conventional rest spaces. Regarding fatigue levels, green rest spaces showed a decrease in systolic blood pressure in the middle-fatigue and high-fatigue groups. Positive feelings increased in green spaces, whereas negative emotions decreased, suggesting that short breaks in nature-friendly environments effectively promote workers' physical and emotional recovery. Furthermore, this study emphasizes the importance of green space in various work environments to promote well-being in workers.

• 자원리싸이클링
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• 제18권5호
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• pp.63-71
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• 2009

재활용선별시설에서 파봉공정은 연계된 선별공정을 위한 필수 공정으로 주로 인력에 의한 작업과 일부 기계식 파봉장치가 도입되었다. 그러나, 기계식 파봉장치의 경우 재활용 대상폐기물을 파쇄하여 선별효율의 저하 및 폭발 등 작업자의 안전문제가 자주 발생하고 있다. 본 연구에서는 기존 파봉 방식의 문제점을 해결 할 수 있는 회전칼날팔각드럼식 파봉 정량공급 장치를 개발하여 성능평가 및 환경성 검토를 통한 현장 적용 가능성 평가를 수행하였다. 실험결과에 의하면 처리용량은 드럼회전수 8.2 rpm, 벨트컨베이어 속도 1.25 m/min에서 5.6 ton/hr로 설계용량인 5.0 ton/hr를 만족하였으며, 최대 처리용량은 8.8 ton/hr으로 나타났다. 봉투 속 봉투의 파봉효율은 95.6% 및 겉봉투의 경우에는 100%로 나타났으며, 특히 재활용대상폐기물 중 가장 쉽게 파손되는 유리병의 원형보존율은 약 96.5%로 정가되었다. 본 장치의 소음, 진동 및 비산먼지 농도 등에 대한 환경성 정토결과 환경오염배출허용 법적기준치를 모두 만족하는 것으로 조사되었다. 따라서, 본 파봉장치를 재활용선별시설에 적용할 경우 기존의 인력파봉과 기계식파봉에서 발생되었던 문제점을 크게 개선할 수 있다.

• 융합신호처리학회논문지
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• 제23권1호
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• pp.28-36
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• 2022

현재 조선산업 현장의 자동화, 지능화가 가능해져 작업 생산능력과 비용 경쟁력은 향상되었으나, 산업현장 작업자들의 안전사고 감소율은 여전히 저조한 편이며 안전사고로 인한 피해는 매우 심각하므로 현장에 맞게 개선의 필요성이 존재한다. 본 연구에서는 조선소의 작업자 보호 및 환경 안전을 위한 스마트 안전모의 개발과 함께 효용성을 검증하기 위해 실증 구역에서 스마트 안전모 간의 커넥티비티 실증을 목표로 한다. 또한, 작업자 보호 및 안전을 위해 스마트 안전모 착용자 간의 다대다 LTE 통신을 구현하고, 조선소 작업장에서 테스트한 결과를 분석하였다. 작업자 간의 원활한 통신을 위해 작업장에서 발생하는 95dB 이상의 충격 소음을 확인하였고, 이를 개선하기 위해 Butterworth, Chevbychev, elliptic 알고리즘으로 필터링 성능을 비교 분석하였다. 본 연구에서 제안한 스마트 안전모 간의 커넥티비티 테스트와 소음저감 방법은 향후 조선산업의 현장 맞춤형 스마트 안전모 고도화 개발로 활용성 및 현장의 안전성을 증대시켜줄 것이다.

• 자원환경지질
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• 제39권4호
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• pp.427-440
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• 2006

다른 물리탐사법과는 달리, 전자탐사의 실질적인 국내 활용과 연구는 1980년대부터이다. 이렇게 늦게나마 시작하게 된 것은 1970년대 미국 유학한 네 명의 연구자들의 영향이고, 이 들과의 공동연구와 유대는 현재까지 지속되고 있다. 그 동안 국내 연구진이 이룬 성과는 괄목할 만 하다. 이제 우리는 MT와 CSAMT탐사, 지자기수직탐사, 소형루프탐사, VLF탐사, GPR탐사, 시간영역 전자탐사 등 전 분야에 걸쳐 국제 수준의 기술력을 확보하게 되었고 신기술인 고주파수 전자탐사, 시간영역 전자탐사, 역산기법 분야에서 창의 있는 연구 성과를 내고 있다. 활용 분야도 지하자원탐사에서 지반조사, 환경조사, 고고학조사, 구조물 결함조사, 땅굴조사 등으로 엄청나게 확장되었다. 아직도 자료해석이 난삽하기 이를 데 없는 전자탐사법을 한 단계 높일 결정적인 돌파구가 국내 연구진에 의해서 나올 날이 멀지 않을 것이다.

• 대한인간공학회지
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• 제26권2호
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• pp.45-59
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• 2007

The operating tasks of overhead crane have caused undue stress to the operators from physical, mental, and environmental workload. Existing workload assessment models for musculoskeletal disorders such as OWAS, RULA, and QEC have limited applicability to the crane operating tasks because they focus mainly on physical factors and do not consider the relative importance of each factor. The present study was to develop a workload assessment model customized to overhead crane operation, following a systematic process: (1) analyzing task characteristics, (2) selecting workload factors, (3) developing assessment methods, (4) establishing action levels, and (5) computerizing the assessment model. Based on literature review, worksite survey, and focus group interview, 4 physical factors (awkward posture, static posture, repetitive motion, and excessive force), 6 mental factors (visual demand, auditory demand, task complexity and difficulty, time urgency, work schedule related stress, and safety related stress), and 4 environmental factors (noise, vibration, dust, and temperature) were selected and their rating scales and relative weights were determined. Then, based on the workload assessment results of 8 overhead cranes operated at different workplaces, the action levels of each factor category were established. Finally, the crane operation assessment model was computerized for effective analysis and report preparation. The present approach is applicable to develop a customized workload assessment model for an operating task under consideration.

• 방송공학회논문지
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• 제25권6호
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• pp.854-860
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• 2020

심층 신경망은 영상 분류 그리고 음성 인식 등 다양한 분야에서 뛰어난 성능을 보여주었다. 그 중에서 데이터 증대를 통해 생성된 다양한 데이터는 신경망의 성능을 향상하게 시키는 데 중요한 역할을 했다. 일반적으로 데이터의 변형을 통한 증대는 신경망이 다채로운 예시를 접하고 더 일반적으로 학습되는 것을 가능하게 했다. 기존의 영상 분야에서는 신경망 성능 향상을 위해 새로운 증대 방법을 제시할 뿐만 아니라 데이터와 신경망의 구조에 따라 변화할 수 있는 최적의 데이터 증대 방법의 탐색 방법을 제안해왔다. 본 논문은 이에 영감을 받아 음향 분야에서 최적의 데이터 증대 방법을 탐색하는 것을 목표로 한다. 잡음 추가, 음의 높낮이 변경 혹은 재생 속도를 조절하는 등의 증대 방법들을 다양하게 조합하는 실험을 통해 경험적으로 어떤 증대 방법이 가장 효과적인지 탐색했다. 결과적으로 자연 음향 데이터 세트 (ESC-50)에 최적화된 데이터 증대 방법을 적용함으로써 분류 정확도를 향상하게 시킬 수 있었다.

• Safety and Health at Work
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• 제9권1호
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• pp.42-52
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• 2018

Background: Maintenance operations on-board ships are highly demanding. Maintenance operations are intensive activities requiring high man-machine interactions in challenging and evolving conditions. The evolving conditions are weather conditions, workplace temperature, ship motion, noise and vibration, and workload and stress. For example, extreme weather condition affects seafarers' performance, increasing the chances of error, and, consequently, can cause injuries or fatalities to personnel. An effective human error probability model is required to better manage maintenance on-board ships. The developed model would assist in developing and maintaining effective risk management protocols. Thus, the objective of this study is to develop a human error probability model considering various internal and external factors affecting seafarers' performance. Methods: The human error probability model is developed using probability theory applied to Bayesian network. The model is tested using the data received through the developed questionnaire survey of >200 experienced seafarers with >5 years of experience. The model developed in this study is used to find out the reliability of human performance on particular maintenance activities. Results: The developed methodology is tested on the maintenance of marine engine's cooling water pump for engine department and anchor windlass for deck department. In the considered case studies, human error probabilities are estimated in various scenarios and the results are compared between the scenarios and the different seafarer categories. The results of the case studies for both departments are also compared. Conclusion: The developed model is effective in assessing human error probabilities. These probabilities would get dynamically updated as and when new information is available on changes in either internal (i.e., training, experience, and fatigue) or external (i.e., environmental and operational conditions such as weather conditions, workplace temperature, ship motion, noise and vibration, and workload and stress) factors.