• Journal of the Korea Safety Management & Science
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• v.14 no.1
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• pp.1-6
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• 2012

A number of Brain-Computer Interface (BCI) studies have been performed to assess the cognitive status through EEG signal. However, there are a few studies trying to prevent user from unexpected safety-accident in BCI study. The EEGs were collected from 19 subjects who participated in two experiments (rest & event-related potential measurement). There was significant difference in EEG changes of both spontaneous and event-related potential. Beta power and P300 latency may be useful as a biomarker for prevention of response to safety-accident.

• Journal of the Society of Disaster Information
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• v.19 no.2
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• pp.372-382
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• 2023

Purpose: Suggests measures to improve the construction company's safety management system according to the enforcement of the Severe Accident Punishment Act. Method: The effectiveness of practice-oriented disaster prevention activities was analyzed through safety and health diagnosis of the level of safety and health management system for the countermeasures against the Severe Accident Punishment Act implemented at the construction site and headquarters. Result: The effect of reducing the accident rate and the advancement of the safety and health management system were analyzed by linking the Severe Accident Punishment Act with the safety and health management system, and a plan to improve the safety and health management system was presented through the analysis of the comprehensive results of safety activities before and after the implementation of the Severe Accident Punishment Act. Conclusion: The effect of practical performance measurement was manifested through the improvement of business owners' awareness, the expansion of investment for disaster prevention, and the quantification of disaster prevention activities according to the enforcement of the Severe Accident Punishment Act.

• Journal of the Korean Society of Safety
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• v.17 no.1
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• pp.94-98
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• 2002

This study aimed to search for the fundamental accident causes using a categorical analysis, a kind of statistical methods. As the analysis methods, correlation analysis, independence test and logistic regression analysis were used. And the SPSS package, a general-purpose mathematical library, was used to obtain statistical characteristics. As the result of this study, the accident causes associated with factor of 'lost working days' were factors such as 'employed periods', 'sex', 'type of accident', 'month'. In case of applying independence test method, the most important cause was the factor of 'month'. In case that logistic regression analysis method was applied, the cause contributed to the increase structure'. 'less than 6 month'. On the basis of these results, the plan for accident prevention and the proper investment for accident prevention expenditure could be carried out in each workshop.

• Journal of the Korean Professional Engineers Association
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• v.34 no.5
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• pp.77-81
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• 2001

The industrial accident in subway of late is increasingly coming to the front as a serious problem of society because a scale of industrial accident is a large size, and powerfulness, while the percent of accident is decreasing as a result of industrial facilities with the largeness of equipment, automation, and high horse-powering. In this paper, a study on the estimation of accident loss prevention cost and risk analysis in subway construction is proposed as an alternative to the techniques currently used in the general construction projects safety. Then the concept of risk evaluation using a risk assessment model is presented to drive value of risk and numerical example for risk analysis. A means for this does grasp the importance of educational factor by way of analyzing the causes of accident through statistical data of labor department, emphasizing the necessity and the importance of safety education, being helpful to act safety by decreasing insecure activity which ranks the majority of accident causes with putting the education program, form, method into practice that are suitable for a place of business.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05a
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• pp.179-183
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• 2010

The safety accident is one of the formidable issues in construction field, and in order to prevent safety accident, contractors perform safety education, safety control document, meeting with labors, and safety instruction in construction phase. However, safety accident is occurred continuously, it is needed to analyze which factors are affected to safety accident. day of the week, daily construction cost, and daily work task were selected as those factors. The result in this research represented that those factors were not considered as an critical one in safety accident. Because of approach limitation to safety accident, only two case studies were collected. If more safety accident cases are gathered in future study, it will clarify the cause of safety accident and will prevent safety accident.

• Journal of the Korean Society of Safety
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• v.15 no.1
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• pp.11-18
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• 2000

The study on industrial accidents in Korea has been focused on frequencies of each type, severity, characteristics, causes, and so on. Those attributes of industrial accidents were usually analyzed independently, so that it was hard to provide a systematic guidelines for efficient safety management. Therefore, there were a few of studies based on comprehensive survey results in terms of characteristics of safety management. This study aimed to figure out the characteristics of current safety management and to provide a guideline for ideal safety management in industry. The questionnaire survey carried out for the workers(695) who were in charge of safety management at their industries. The multivariate analyses as well as descriptive statistical analysis were conducted. The factor analysis showed that there were three factors of safety management. They were 1) investment and management for accident prevention, 2) safety manager, and 3) general health and environmental condition. The industries of respondents were clustered into three groups. Three groups showed a statistically significant differences on the number of cases reported and the trends of accident. Actually, the group with the larger investment and better management of accident prevention had a smaller number of accident cases.

• Journal of Korean Society for Atmospheric Environment
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• v.24 no.1
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• pp.1-15
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• 2008

Chemical Accident Response Information System (CARIS) which has been designed for the efficient emergency response of chemical accidents produces the real-time atmospheric fields through the Regional Atmospheric Modeling System, RAMS. The previous studies were emphasized that improving an initial input data had more effective results in developing prediction ability of atmospheric model. In a continuous effort to improve an initial input data, we replaced the land-use dataset using in the RAMS, which is a high resolution USGS digital data constructed in April, 1993, with the latest land-use data of the Korea Ministry of Environment over the South Korea and simulated atmospheric fields for developing a real-time prediction in dispersion of chemicals. The results showed that the new land-use data was written in a standard RAMS format and shown the modified surface characteristics and the landscape heterogeneity resulting from land-use change. In the results of sensitivity experiment we got the improved atmospheric fields and assured that it will give more reliable real-time atmospheric fields to all users of CARIS for the dispersion forecast in associated with hazardous chemical releases as well as general air pollutants.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.5
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• pp.161-168
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• 2019

Construction industry is becoming more advanced, but safety accidents are not decreasing and unsafe act (UA) and human errors (HE) are the main causes of safety accidents. Therefore, this study aims to analyze the relationships between unsafe acts and human errors for construction accident prevents. Specifically, the Correlation Analysis is used to quantify 24 combinations of the relationship between the UA and HE. Then, the Kano Model, and Timko Satisfied Coefficient was utilized to find 6 combinations for construction accident prevention plans. As the result of Timko Satisfied Coefficient, an interview was conducted with three safety managers and 6 safety prevention plan is proposed. Through these results, it is expected that the combination of 24 accidents will be basic data of safety management. Especially, the proposed safety prevention plans considering the characteristics of 6 combinations with high correlation can contribute to prevention of safety accidents at the construction site.

• Journal of the Korea Safety Management & Science
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• v.8 no.3
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• pp.51-66
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• 2006

This study was attempted to analyze risk factors and suggest accident prevention in live line works for power transmission lines to be developed and applied in Korea. Safety problem cannot but occur at development of live line works and application to the field. With respect to this, problems likely to occur in the field among works adopting methods of works including live line works for power transmission lines were investigated and analyzed through documentary survey and risk assessment method. The results are summarized as follows. A risk assessment method model was suggested. This method enables scientific and systematic development of safety control. That is, the owner may autonomously induce safety control and build risk assessment database by work process to use them as best training data for workers. Also, in the field, it may induce all workers to participate in safety program and secure safety by making workers seek for safety working method under smooth flow from looking at risk factors to accident prevention activities. It is deemed that this humble study will prevent both accident and injury likely to occur in live line works for power transmission lines.

• Journal of the Korean Society of Safety
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• v.9 no.2
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• pp.26-32
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• 1994

It is quite similar in the current automated works likewise in the past manual works that single trivial human error and/or unsafe acts may lead to serious industrial accidents. Though the traditional approach for accident prevention focused on the serious injuries or losses, that was misleaded by failure of accident perception. As Heinrich pointed out, there are still enormous numbers of unsafe acts or near-misses before a real accident happen. Thus, for industrial accident prevention, a research on unsafe acts was committed. With accident data occurred during the last decade, statistics were analyzed for extracting behavioral characteristics. After that, a practical method Integrating AHP and statistics which shows possible accident factors and their priority at an individual factory was suggested. A computer program was developed also.