• Smart Media Journal
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• v.11 no.9
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• pp.30-38
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• 2022

It is important to grasp biometric data in real time for prompt action in the event of a safety accident at a work site where the risk of safety accidents exists. Among them, blood oxygen saturation is the most important factor in maintaining human life, so real-time oxygen saturation measurement and monitoring is necessary according to the situation as a preemptive response for worker safety management. By receiving real-time bio-signals from workers wearing health and life-risk protective clothing, and sharing and analyzing the worker's risk status in an external system, it is possible to diagnose the worker's current condition and efficiently respond to emergencies that may occur to the worker. In this paper, we propose a wearable oxygen saturation measurement platform technology that can monitor the risk of harmful gases and oxygen saturation of the wearer in real time and ensure the wearer's activity and safety in order to cope with emergency situations at the scene of an accident. If we overcome the limitations identified through the results of the proposed system later and apply improved biodata such as motion correction to the platform, we expect that it will be usable not only in hazardous gas environments, but also in hospitals and homes for emergency patients.

• The Safety technology
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• no.82
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• pp.16-21
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• 2004

• Proceedings of the Safety Management and Science Conference
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• 2007.11a
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• pp.69-73
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• 2007

• Railway Journal
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• v.20 no.1
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• pp.29-40
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• 2017

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.179-187
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• 2021

In the past five years, form construction, which accounts for approximately 25% of the total construction period, has continued to occur without a significant decrease in the number of deaths, with the largest proportion of collapse accidents. Accordingly, this study analyzed the difference in perception between the manager and worker by a questionnaire survey on the degree of risk and safety management level regarding a mold collapse accident. The survey was conducted in three groups: safety manager, field worker, and field manager. The results of the survey were analyzed by an independent sample T-Test using the SPSS program. As a result, there was almost no difference in recognition between managers, but a significant difference in recognition between managers and workers. In addition, there was a difference in management perception between the administrator and worker, which clearly shows the difference in the position between the administrator who manages and supervises hazardous disaster factors and the worker who works directly in the field. Such differences in perception can be a factor that cannot be mitigated. Based on this study, more developed research can narrow the perception gap between managers and workers and be used as a basic material for disaster research.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1998.03a
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• pp.119-123
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• 1998

지난 몇 년동안 생산공장이나 건설현장에서 안전에 관한 문제가 상당히 강조되었다. 산업재해를 줄이기 위해서는 장비나 작업자의 신뢰성을 높여야 한다. 본 논문에서는 작업자의 근무년수에 따른 재해율을 평가하고 예측하는 수학적인 모델을 제시하고자 한다. 이 목적을 위하여 노동부에서 발표된 최근 3년 (94-96) 동안의 재해 통계를 사용하였다. 이 연구에서 개발된 방법은 프로젝트의 초기단계에서 노동정책을 개발하는데 유용한 자료가 될 것이다.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2002.05a
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• pp.346-355
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• 2002

THERP (Technique for Human .Error Rate Prediction) 방법론은 원전의 확률론적 위험성 평가(PSA)시 운전원과 작업자의 인간오류평가에 가장 널리 사용되고 있는 방법이다. HRA Handbook이라고도 불리는 이 모델은 운전원 행위를 시스템 부품의 한 요소로 가정하고 인간오류를 평가한다. 본 논문은 이 방법론을 이용하여 원전 등과 같이 위험시설물 중의 하나인 개스밸브기지에서의 작업자 보수시 인적오류를 평가하고 기계적 오류와 합께 인적오류의 기여도를 계산하였다 본 방법론은 원전, 개스밸브기지 뿐만아니라 석유화학 플랜트와 같은 위험시설물의 인적오류 평가에도 유연하게 사용될 수 있음을 보여주었다.(중략)

• Journal of Korea Game Society
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• v.20 no.3
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• pp.85-94
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• 2020

AI-based smart factory technologies are only increase short-term productivity. To solve this problem, collaborative intelligence combines human teamwork, creativity, AI speed, and accuracy to actively compensate for each other's shortcomings. However, current automation equipmens require high safety measures due to the high disaster intensity in the event of an accident. In this paper, we design and implement a factory safety control system that uses a depth camera to implement workers and facilities in the virtual world and to determine the safety of workers through simulation.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.185-186
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• 2022

2012년 9월부터 건설현장 위험성평가는 안전관리 업무로 의무화되었으나, 해당 근로자가 사전위험성을 추정하고 대책을 수립하여 재해예방 활동으로 연계되기에는 위험성평가 작성부터 어려움이 있다. 위험성평가 운영시스템 구축을 통해 건설현장 근로자가 해당작업의 위험요인 및 안전대책을 쉽게 파악할 수 있도록, 작업 공종 선택만으로 해당작업의 다양한 위험요인과 안전대책을 제시하고, 해당 공종에서 발생한 재해사례를 보여줌으로써 동종 재해 재발방지 대책수립이 가능하도록 시스템을 구축하였다. 이러한 위험성평가 활동의 효과분석을 위해 H건설사의 운영평가에서, 위험성평가 운영시스템 구축 이후 건설현장 근로자가 위험성평가 활용에 쉽게 접근할 수 있고 해당공정의 위험요인 추정 및 위험예방 대책 수립이 가능하게 되었으며, 평가기간 동안 재해율 감소에도 영향이 있는 것으로 분석되었다.

• Journal of Practical Engineering Education
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• v.14 no.3
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• pp.543-553
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• 2022

A collaborative robot(Cobot) is one of the production systems presented in the 4th industrial revolution and are systems that can maximize efficiency by combining the exquisite hand skills of workers and the ability of simple repetitive tasks of robots. Also, research on the development of an efficient interface method between the worker and the robot is continuously progressing along with the solution to the safety problem arising from the sharing of the workspace. In this study, a method for controlling the robot by recognizing the worker's hand signal was presented to enhance the convenience and concentration of the worker, and the safety of the worker was secured by introducing the concept of a safety zone. Various technologies such as robot control, PLC, image processing, machine learning, and ROS were used to implement this. In addition, the roles and interface methods of the proposed technologies were defined and presented for using educational media. Students can build and adjust the educational media system by linking the introduced various technologies. Therefore, there is an excellent advantage in recognizing the necessity of the technology required in the field and inducing in-depth learning about it. In addition, presenting a problem and then seeking a way to solve it on their own can lead to self-directed learning. Through this, students can learn key technologies of the 4th industrial revolution and improve their ability to solve various problems.