• Title/Summary/Keyword: Safety and Health Diagnosis System

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Background and Activities of the Samsung Ombudsperson Commission in Korea

  • Lee, Cheolsoo;Kang, Seong-Kyu;Kim, Hyunwook;Kim, Inhee
    • Journal of Preventive Medicine and Public Health
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    • v.52 no.4
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    • pp.265-271
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    • 2019
  • Objectives: The Samsung Ombudsperson Commission was launched as an independent third-party institution following an agreement among Samsung Electronics, Supporters for Health and Right of People in Semiconductor Industry (Banolim in Korean, an independent NGO), and the Family Compensation Committee, in accordance with the industry accident prevention measure required by the settlement committee to address the issues related to employees who allegedly died from leukemia and other diseases as a result of working at Samsung's semiconductor production facilities. Methods: The Commission has carried out a comprehensive range of activities to review and evaluate the status of the company's occupational accidents management system, as well as occupational safety and health risk management within its facilities. Results: Based on the results of this review, termed a comprehensive diagnosis, the Commission presented action plans for improvement to strengthen the company's existing safety and health management system and to effectively address uncertain risks in this area going forward. Conclusions: The Commission will monitor the execution of the suggested tasks and provide advice and guidance to ensure that Samsung's semiconductor and liquid crystal display production lines are safer.

Advanced medical devices and regulatory innovations in new health technology assessments (의료기기 발전과 신의료기술평가 규제혁신)

  • Lee, You Kyoung
    • Journal of the Korean Medical Association
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    • v.61 no.12
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    • pp.702-705
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    • 2018
  • Advances in technology lead to advances in medical devices, and these advances have the positive effect of creating opportunities for beneficial developments in healthcare, such as innovating traditional healthcare processes or expanding opportunities for diagnosing and treating diseases. Nonetheless, device developers, suppliers, users, insurers, and patients all face the challenge of balancing patient safety and health effectiveness with a reasonable profit. In Korea, the New Health Technology Assessment system aims to introduce safe and effective health technology, but this is only effective for the entry of devices onto the healthcare market. This system is not enough for creating a healthy ecosystem in which high-quality technologies and devices survive in the market and naturally exit from the market if not successful. The nation must not lag in the rapid development of medical devices, but the concomitant requirement for patient safety is like two rabbits moving in different directions. There is not enough time to resolve each source of uncertainty for both developers and users. The early adoption of health technologies, including medical devices, offers new opportunities for treatment and diagnosis, but also poses unexpected health risks. Thus, we need to design a plan to generate scientific evidence related to medical devices after they introduced into practice. Additionally, regarding the use of individual medical devices, we believe that the creation of a healthy ecosystem for medical devices by implementing medical device surveillance culture is a way to manage the opportunities and risks of the early introduction of innovative medical devices.

A Machine Learning Approach for Mechanical Motor Fault Diagnosis (기계적 모터 고장진단을 위한 머신러닝 기법)

  • Jung, Hoon;Kim, Ju-Won
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.1
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    • pp.57-64
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    • 2017
  • In order to reduce damages to major railroad components, which have the potential to cause interruptions to railroad services and safety accidents and to generate unnecessary maintenance costs, the development of rolling stock maintenance technology is switching from preventive maintenance based on the inspection period to predictive maintenance technology, led by advanced countries. Furthermore, to enhance trust in accordance with the speedup of system and reduce maintenances cost simultaneously, the demand for fault diagnosis and prognostic health management technology is increasing. The objective of this paper is to propose a highly reliable learning model using various machine learning algorithms that can be applied to critical rolling stock components. This paper presents a model for railway rolling stock component fault diagnosis and conducts a mechanical failure diagnosis of motor components by applying the machine learning technique in order to ensure efficient maintenance support along with a data preprocessing plan for component fault diagnosis. This paper first defines a failure diagnosis model for rolling stock components. Function-based algorithms ANFIS and SMO were used as machine learning techniques for generating the failure diagnosis model. Two tree-based algorithms, RadomForest and CART, were also employed. In order to evaluate the performance of the algorithms to be used for diagnosing failures in motors as a critical railroad component, an experiment was carried out on 2 data sets with different classes (includes 6 classes and 3 class levels). According to the results of the experiment, the random forest algorithm, a tree-based machine learning technique, showed the best performance.

Safety Assessment of the Level of Safety Culture of National Critical Infrastructure Expressway Operating Organizations (국가핵심기반 고속도로 운영기관의 안전문화 수준진단에 관한 소고)

  • Seo, Jeong-soo;Cheung, Chong-soo
    • Journal of the Society of Disaster Information
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    • v.18 no.3
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    • pp.636-645
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    • 2022
  • Purpose: This study intends to suggest alternatives for improving the level of safety culture by measuring/analyzing safety culture targeting employees of national core-based highway operating organizations. Method: Using the 'Safety Awareness Level Diagnosis Tool' of the Korea Occupational Safety and Health Agency, 16 sub-factor measurement tools reflecting 4 safety culture areas and 4 safety culture activities were evaluated for a total of 144 items. were surveyed/analyzed by online questionnaire. Result: As for the results by safety culture area, "safe operation" was the highest, and "safe communication" was the lowest. As for the results of each safety culture activity, "safe execution (D)", which evaluates whether the plan was implemented, was high. The lowest level of safety culture is "Safety Improvement (A)" Conclusion: When establishing a company's safety and health management measures, the most important aspect of management is the level of safety culture. The ultimate goal is to improve the level of safety culture. In this study, it was possible to confirm the safety culture level of the national core-based expressway operating institution. In the future, we intend to conduct a study on how safety culture affects business continuity management system (BCMS).

The application of machine learning for the prognostics and health management of control element drive system

  • Oluwasegun, Adebena;Jung, Jae-Cheon
    • Nuclear Engineering and Technology
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    • v.52 no.10
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    • pp.2262-2273
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    • 2020
  • Digital twin technology can provide significant value for the prognostics and health management (PHM) of critical plant components by improving insight into system design and operating conditions. Digital twinning of systems can be utilized for anomaly detection, diagnosis and the estimation of the system's remaining useful life in order to optimize operations and maintenance processes in a nuclear plant. In this regard, a conceptual framework for the application of digital twin technology for the prognosis of Control Element Drive Mechanism (CEDM), and a data-driven approach to anomaly detection using coil current profile are presented in this study. Health management of plant components can capitalize on the data and signals that are already recorded as part of the monitored parameters of the plant's instrumentation and control systems. This work is focused on the development of machine learning algorithm and workflow for the analysis of the CEDM using the recorded coil current data. The workflow involves features extraction from the coil-current profile and consequently performing both clustering and classification algorithms. This approach provides an opportunity for health monitoring in support of condition-based predictive maintenance optimization and in the development of the CEDM digital twin model for improved plant safety and availability.

Case Study of Diagnosis on Musculoskeletal Disorders Risk Factors at an Diesel Engine Fuel Injection System Manufacturing Company (디젤엔진용 연료분사장치 제조업체의 근골격계 질환 유해요인 조사 사례연구)

  • Yang, Sung-Hwan;Cho, Mun-Son;Kang, Young-Sig
    • Journal of the Korea Safety Management & Science
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    • v.11 no.2
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    • pp.59-67
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    • 2009
  • The goal of this study is to propose the effective method of investigating the injurious factors and making improved plans that prevents the workers against musculoskeletal disorders at an diesel engine manufacturing company and the same business field with similar working conditions and process. A questionnaire were adopted to analyze the symptoms of workers' musculoskeletal disorders, and an ergonomic assessment method such as RULA, OWAS were performed to find out harmful factors of workplace and working posture. Based on the result of the evaluation, to enhance the working environment, improvement of worktable, working space, tools, and outfit was suggested, and induction of mechanical system was also suggested. It can be concluded that the method and process described in this paper could be helpful for diagnosing the musculoskeletal disorders and making improvement plans to the diesel engine fuel injection system manufacturing company and the same business field with similar working conditions and process.

A Study of Computerized Industrial Hygiene Control System (작업환경관리 전산화에 관한 연구)

  • Lee, Song Kwon;Lee, Young Sei;Kim, Young Su;Kim, Yong Lae
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.4 no.1
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    • pp.117-126
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    • 1994
  • Some of the important and vital roles performed by the Health Care Center of Pohang Iron & Steel Co., Ltd.(POSCO) are the periodic monitoring of the work sites as well as regular medical check-ups for each workers to ensure both pleasant and safe working conditions and to protect employees' health. Pohang Steel Works, which has 42 plants, 26 facilities and 12,000 employees, has an annual crude steel production capacity of 9,670,000 using 24,500,000 ton of raw materials. We have measured lots of areal and personal working environment according to Occupational Safety and Health Law semiannually. All data collected on industrial hygiene is stored and managed by personal computer. The developed of a computerized industrial hygiene control system linked to the company's main computer system will provide efficient evaluation of the working environment as well as critical informations on employees' health. Development of this system had begun in May, 1992 and was completed in March, 1994. The computerized industrial hygiene control system can; 1. store industrial hygiene data, providing key pertinent to the diagnosis of occupational related illnesses, and if necessary, the basis for improving the working environment, 2. decide type and time of medical examination of each work for exposure to specific agents, and supply proper protection periodically, 3. prevent occupational related illnesses through evaluation of environmental and biological monitoring, and performance of epidemiological surveillance, 4. facilitate proper job placement through linking of industrial hygiene control and personnel information systems, 5. monitor job processes. levels of chemical agents used, and new agents introduced, 6. and increase productivity by saving time resulting from the implementation of the computerized sysyte,

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A Study on the Management of Exposure of Workers and Assistants Related to Diagnostic Radiation (진단용 방사선 관련 업무 종사자의 피폭관리에 관한 연구)

  • Lim, Chang-Seon
    • The Korean Society of Law and Medicine
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    • v.22 no.3
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    • pp.97-124
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    • 2021
  • In medical institutions, there are radiation-related workers such as radiological technologists, physicians, dentists, and dental hygienists who handle diagnostic radiation generators. Also, there are work assistants, such as nurses and assistant nurses, who assist in radiation treatment or transfer patients to the radiation examination room. Radiation exposure management for radiation-related workers is carried out under the 「Medical Service Act」, but there is no legal basis for work assistants, etc. And the management of radiation exposure for diagnosis is regulated by the 「Medical Service Act」, and the management of radiation exposure by therapeutic radiation and nuclear medical examination is governed by the 「Nuclear Safety Act」. Thus, to improve the management of radiation exposure for diagnosis, the regulations on radiation exposure management for diagnosis under the 「Medical Service Act」 were compared and reviewed with those of the 「Nuclear Safety Act」. As a result, the main contents are as follows. First, it is necessary to legislate to include nurses, assistant nurses, and clinical practice students who are likely to be exposed to radiation besides radiationrelated workers as subjects of radiation exposure management for diagnosis. Second, when a radiation-related worker for diagnosis is confirmed to be pregnant, the exposure dose limit should be defined. Third, it is necessary to revise the regulations on the types of personal exposure dosimeters in the 「Rules on the Safety Management of Radiation Generators for Diagnostics」. Fourth, it seems that health examination items for radiation-related workers, radiation workers, and frequent visitors should be the same. Fifth, It is necessary to unify and regulate diagnostic radiation and all medical radiation, including therapeutic radiation and nuclear medicine, in one legal system.

Progress in Health Monitoring Research on Railway System (철도 시스템 건전성 평가기술 연구 동향)

  • Lee, Sang-Jung;Kim, Jeong-Guk;Kim, Nam-Po
    • Proceedings of the KSR Conference
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    • 2010.06a
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    • pp.2202-2208
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    • 2010
  • The railway in Korea has been one of important transportation means as the introduction of high-speed train and progress in subway systems. Also, as increases in the speed of train, the guarantee of safety becomes more important, especially, in the fields of railway vehicles and/or facilities. The structural health evaluation for the prevention and diagnosis of the accidents could be conducted using several types of nondestructive evaluation techniques such as ultrasonic developed using infrared thermography or optic fiber sensors. In this paper, the recent progress in structural health evaluation for railway systems has been introduced, and the case studies have been discussed.

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A study on the system improvement policy according to the status analysis of medical device control system in Korea (국내 의료기기관리제도의 현황분석에 따른 정책적 제도개선 방안에 관한 연구)

  • Lee, Kyung-Man;Baek, Nak-Ki;Seo, Jong-Hyun
    • Journal of the Korea Safety Management & Science
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    • v.12 no.3
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    • pp.37-52
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    • 2010
  • This study is aimed at proposing the national policy for medical device control system in Korea as deeply analysed the present status of the system. On 1979, Korean government had started to inspect 24 kinds of the medical devices such as X-ray diagnostic equipments, medical sterilizer and etc. mostly imported from advanced countries which USA, Germany and Japan for the first time according to the Pharmaceutical Affairs Law. However medical devices were becoming consideration as an important partner of diagnosis, curing and alleviation of diseases by medical doctors and also much important keeping the health at home. Furthermore medical devices industry can be designated as a national growth engine industry. So it is necessary not only to harmonize to international standards but also the harmonization of the system including pre-market application and post-market surveillance, is strongly needed by the Korea Food and Drugs Administration(KFDA).