• Journal of the Korean Society of Safety
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• v.32 no.4
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• pp.122-128
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• 2017

Recently, accidents such as human accidents are increasing rapidly due to natural disasters and changes in social conditions due to abnormal weather. As a result, damage has been causing massive damage unlike the past. In the case of small and medium enterprises excluding financial institutions and big company, there is no system for prevention and restoration for stable operation from various risks such as human and natural disasters. As the current disaster continues, public and private companies have raised the need for BCM, and with the introduction of the ISO22301 certification system, the company has been establishing and operating Enterprise Disaster Management Standards in the Ministry of Public Safety and Security since 2007. However, in most SMEs, it is hard to bear the input of internal labor and investment cost, and there is a lack of personnel with expertise to conduct BCM diagnosis. Therefore, in this paper, we will study the diagnosis level of enterprise continuity plan which is commonly used in Korea and abroad. Based on this, we will study the BCM system diagnosis method which can be applied to small and medium enterprises in Korea efficiently.

• Journal of Korean Society of Disaster and Security
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• v.15 no.2
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• pp.1-12
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• 2022

Based on major safety-related statistics of cities, provinces, counties, and districts across the country, social disasters manage regional safety index ratings in six areas(traffic accidents, fires, crime, life safety, suicide, and infectious diseases), and natural disasters operate a management system. The current application of the regional safety assessment of natural disasters is very insufficient to evaluate the local risk of natural disasters up to the Eup, Myeon, and Dong level, and it is marked too engineering and difficult for the general public to use. The purpose of this study is to present Korea's natural disaster local risk assessment as an improvement model that extends to the sub-unit of Eup, Myeon, and Dong, using the local risk assessment model mixed with natural and social disasters.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.319-328
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• 2021

Purpose: Recently, a large social disaster has called for the need to diagnose social disaster safety, and the Ministry of Public Administration and Security calculates and publishes regional safety ratings such as regional safety index and national safety diagnosis every year. The existing safety diagnosis system uses equal intervals or normal distribution to grade risk maps in a uniform manner. Method: However, the equidistant technique can objectively analyze risk ratings, but there is a limit to classifying risk ratings when the distribution is skewed to one side, and the z-score technique has a problem of losing credibility if the population does not follow a normal distribution. Because the distribution of statistical data varies from indicator to indicator, the most appropriate rating should be applied for each data distribution. Result: Therefore, in this paper, we analyze the data of disaster indicators and present a comparison and suitable method for traditional equidistant and natural brake techniques to proceed with optimized grading for each indicator. Conclusion: As a result, three of the six new indicators were applied differently from conventional grading techniques

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.259-260
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• 2016

Our research group, which was organized by the South Korean and Japanese researchers, have carried out research about natural disaster in our regional heritage villages derived from the concept of ICT(information communication technology)-based DPD(disaster prevention design). In this research, we performed simulation analysis on the fire safety diagnosis in Asan-Oeam folk and JeonjuHanok village for developing our research of ICT-based PBD. In order to do this, we used fire simulation program which was developed by BRI(Building Research Institute) of Japan. Based on the results of fire simulation of Asan-Oeam folk and JeonjuHanokvillage, we can demonstrated that the fire which broken out inregional heritage folk village will be easily expanded to adjacent houses, because the house which are built with wood structure.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.254-265
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• 2021

Purpose: Inspection and diagnosis on the performance and safety through domestic port facilities have been conducted for over 20 years. However, the long-term development strategies and directions for facility renewal and performance improvement using the diagnosis history and results are not working in realistically. In particular, in the case of port structures with a long service life, there are many problems in terms of safety and functionality due to increasing of the large-sized ships, of port use frequency, and the effects of natural disasters due to climate change. Method: In this study, the maintenance history data of the gravity type quay in element level were collected, defined as big data, and a predictive approximation model was derived to estimate the pattern of deterioration and aging of the facility of project level based on the data. In particular, we compared and proposed models suitable for the use of big data by examining the validity of the state-based deterioration pattern and deterioration approximation model generated through machine learning algorithms of GP and SGP techniques. Result: As a result of reviewing the suitability of the proposed technique, it was considered that the RMSE and R² in GP technique were 0.9854 and 0.0721, and the SGP technique was 0.7246 and 0.2518. Conclusion: This research through machine learning techniques is expected to play an important role in decision-making on investment in port facilities in the future if port facility data collection is continuously performed in the future.