• Journal of the Korean Society for Aviation and Aeronautics
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• v.24 no.2
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• pp.59-67
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• 2016

The checklist currently used for Aviation safety inspection performed by ASIs consists of inspection groups and multiple items, it does not have structured hierarchy system which required to efficiently process aviation safety analysis. On this study, through mapping taxonomy of HFACS onto current checklist to secure structured hierarchy system and present a specification on systematic frequency and severity to perform safety risk assessment of detected hazard.

• Proceedings of the Safety Management and Science Conference
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• 2007.04a
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• pp.27-33
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• 2007

There are many reason for unsafety action without safety operation. The reason is no standard safety operation in company or the workers never get a enough education. Standard safety operation is prepared by paper for accurate directions and orders and operators must read the paper to prevent an error of action. Also an essential particular is safety of equipment and machine must be assumed to establish standard safety operation then safety of operations will be possible.

• Journal of the Korean Society of Safety
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• v.27 no.6
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• pp.160-165
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• 2012

The process of panel line in the shipyard produce the panel of outside planking which is located the side and bottom of a ship. The stiffeners or plates are welded onto the plates in this process. In this study, the panel line was performed to work process analysis and was analyzed into the IDEF0(Integration Definition) model that is functional modeling methodology. Also the panel line was analyzed to find out the risk factor and expected accident/safety guide from each process. And then this outputs were applied to the IDEF0 model. The mobile application which is designed by ooCBD(Object-oriented Component Based Development) method is able to use the output data of the process analysis in the panel line. This mobile application could be used by employees and safety managers without regard for working location and time.

• Journal of the Society of Disaster Information
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• v.15 no.4
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• pp.493-501
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• 2019

Purpose: The purpose of this study is to prevent construction safety accidents, and the design safety systems were reviewed. This paper aims to establish as an effective system by looking at the implementation procedures and contents of the design safety review system. Method: We reviewed the purpose and content of the law, accident statistics, etc. for the study. In addition, we looked at the implementation plans for actual construction sites using the 'design safety' assessment process as defined by the Act. Results: We divided it into the data review phase, the risk factor elicitation and alternative setup phase, and the design safety assessment report preparation stage. Conclusion: it is necessary to derive risk factors that take into account the diversity of construction sites. However, the effectiveness of other reports is questioned as they are often copied and written. Therefore, it is necessary to strengthen external verification procedures attended by construction safety experts.

• Proceedings of the SAREK Conference
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• 2008.11a
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• pp.67-70
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• 2008

As a part of the project on road tunnel fire safety system development, Quantitative Risk Assessment program was developed. In this study, We carried out Quantitative Risk Assessment with this program by using a factor of cross passage interval, warning announcement time and congestion ratio etc for 1km tunnel with natural ventilation. In the case of 250m below of cross passage interval, Risk value due to warning announcement time was a slightly changed. but if cross passage interval is more than 250m, expected fatalities in the same HRR(heat release rate) was sharp increased. As a result, Quantitative Risk Assessment program which was developed in this research project is possible to risk assessment with ventilation type, cross passage for evacuation and detection system response property etc. hereafter, this program look forward to use as a tool for road tunnel performance based design.

• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.719-728
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• 2023

Purpose: Mobile cranes are machines that contribute to high mortality, and the High Risk Factor (SIF) information, which analyzed 2,574 accidental deaths in the construction industry in the past 6 years (2016~2021), resulted in a total of 61 mobile crane accidents. Despite safety measures in the field, it is not used properly. In this study, we present standard risk assessment indicators that contribute to accident prevention. Method: Through expert interviews, fatal accident case analysis, field analysis, and literature research, we present the standard risk assessment index method of the 4M risk assessment method. Result: As a result of analyzing the risk assessment of eight sites, it was concluded that it cannot make a significant contribution to disaster prevention and should be applied as an improvement measure of the Standard Risk Assessment Index Law. Conclusion: Switching to the standard risk assessment index method at construction sites has been proposed to make it easier for health and safety personnel and workers to use, contributing to the reduction of accidents.

• Journal of the Korean Geotechnical Society
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• v.39 no.6
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• pp.5-12
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• 2023

Proactive assessment of landslide susceptibility is necessary for minimizing casualties. This study proposes a methodology for classifying the landslide safety factor using a classification algorithm based on machine learning techniques. The high-risk area model is adopted to perform the classification and eight geotechnical parameters are adopted as inputs. Four classification algorithms-namely decision tree, k-nearest neighbor, logistic regression, and random forest-are employed for comparing classification accuracy for the safety factors ranging between 1.2 and 2.0. Notably, a high accuracy is demonstrated in the safety factor range of 1.2~1.7, but a relatively low accuracy is obtained in the range of 1.8~2.0. To overcome this issue, the synthetic minority over-sampling technique (SMOTE) is adopted to generate additional data. The application of SMOTE improves the average accuracy by ~250% in the safety factor range of 1.8~2.0. The results demonstrate that SMOTE algorithm improves the accuracy of classification algorithms when applied to geotechnical data.

• Journal of the Korean Society of Safety
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• v.32 no.6
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• pp.104-109
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• 2017

As the ground subsidence occurred at the center of Seoul area in 2014, the ground subsidence phenomenon was emerged as a social issue in Korea. Even so far, national and local governments and related experts have been making a lot of efforts to prevent ground subsidence phenomenon, but it is still happening all over the country. In this study, we chose 9 influence factors on which ground subsidence and derived weights using AHP(Analytic Hierarchy Process) method for ground subsidence risk analysis. And we analyze the risk of subsidence in ${\bigcirc}{\bigcirc}$city using GIS(Geographic Information System) analysis method and evaluate the potential risk.

• Journal of the Korea Safety Management & Science
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• v.14 no.4
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• pp.137-145
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• 2012

This study was planned to analyze the effect of the types of employment on work-related injury experience. The types of employment may have influenced on working conditions including the exposure to risk factors. Korean Working Conditions Survey have collected the various working conditions as household survey with structured questionnaire. The probability of work-related injury of self-employed is more than that of regular worker. But there is no difference of probability of work-related injury experience between regular and irregular worker controlled by general characteristics and the exposure to risk factors. Authors have found that the type of employment have indirect effect on work-related injury experience via the exposure to risk factors. The result of this study may be heuristic one because of data limitation as cross sectional survey data. In future, well designed survey data can evaluate the effect of the type of employment on safety and health status.

• Journal of the Korean Society of Safety
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• v.36 no.1
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• pp.56-63
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• 2021

The narrative texts of industrial accident reports help to identify accident risk factors. They relate the accident triggers to the sequence of events and the outcomes of an accident. Particularly, a set of related keywords in the context of the narrative can represent how the accident proceeded. Previous studies on text analytics for structuring accident reports have been limited to extracting individual keywords without context. We proposed a context-based analysis using a Natural Language Processing (NLP) algorithm to remedy this shortcoming. This study aims to apply Word2Vec of the NLP algorithm to extract adjacent keywords, known as word embedding, conducted by the neural network algorithm based on supervised learning. During processing, Word2Vec is conducted by adjacent keywords in narrative texts as inputs to achieve its supervised learning; keyword weights emerge as the vectors representing the degree of neighboring among keywords. Similar keyword weights mean that the keywords are closely arranged within sentences in the narrative text. Consequently, a set of keywords that have similar weights presents similar accidents. We extracted ten accident processes containing related keywords and used them to understand the risk factors determining how an accident proceeds. This information helps identify how a checklist for an accident report should be structured.