• Journal of the Korean Society of Safety
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• v.33 no.6
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• pp.77-84
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• 2018

Report documents of industrial and occupational accidents have continuously been accumulated in private and public institutes. Amongst others, information on narrative-texts of accidents such as accident processes and risk factors contained in disaster report documents is gaining the useful value for accident analysis. Despite this increasingly potential value of analysis of text information, scientific and algorithmic text analytics for safety management has not been carried out yet. Thus, this study aims to develop data processing and visualization techniques that provide a systematic and structural view of text information contained in a disaster report document so that safety managers can effectively analyze accident risk factors. To this end, the risk factor map using text mining and self-organizing map is developed. Text mining is firstly used to extract risk keywords from disaster report documents and then, the Self-Organizing Map (SOM) algorithm is conducted to visualize the risk factor map based on the similarity of disaster report documents. As a result, it is expected that fruitful text information buried in a myriad of disaster report documents is analyzed, providing risk factors to safety managers.

• The Journal of Sustainable Design and Educational Environment Research
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• v.17 no.2
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• pp.11-21
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• 2018

This study suggests desirable disaster safety education curriculum through analyzing the operational status of the school disaster safety management training course and demand survey of school staff. First, the problem of the disaster safety training course of the school is not connected with the lack of law and system and the school disaster safety job. Second, improvement of law and system and variety of training should be made to acquire professional knowledge. Third, it is necessary to divide curriculum into the following four categories, according to educational needs of public officials ; Educational administration officers course focused on facility safety, maintenance and disaster countermeasure. Educational officials in technical post course addressing approval and permission of school facility projects, seismic reinforcement of school building, etc. Educational supervisors course covering roles and responsibilities of the school safety supervisors in the event of disaster. Teaching staffs course focused on safety instructions for students. Fourth, it is found that lectures and experiential learning methods are the most desirable methods of teaching and learning, and the major ranks are earthquake disaster, fire, gas, typhoon, school road, and electrical safety.

• Journal of Aerospace System Engineering
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• v.14 no.5
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• pp.83-90
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• 2020

Disasters are causing significant damage to the lives and property of our society and are recognized as social problems that need to be solved nationally and globally. The 4th industrial revolution technologies affecting society as a whole such as the Internet of Things(IoT), Artificial Intelligence(AI), Drones(Unmanned Aerial Vehicles), and Big Data are continuously absorbed into the disaster and safety industries as scientific and technological tools for solving social problems. Very soon, twenty-nine domestic UAV-related organizations/companies will complete the construction of a multicopter type small UAV integrated system ('17~'20) that can be operated at disaster and security sites. The current work considers and proposes the mid-to-long term R&D direction of disaster UAV as a strategic asset of the national disaster response system. First, the trends of disaster and safety industry and policy are analyzed. Subsequently, the development status and future plans of small UAV, securing shortage technology, and strengthening competitiveness are analyzed. Finally, step-by-step R&D direction of disaster UAV in terms of development strategy, specialized mission, platform, communication, and control and operation is proposed.

• Structural Engineering and Mechanics
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• v.56 no.4
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• pp.549-567
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• 2015

A first-order moment method (FORM) reliability analysis is commonly used for structural stability analysis. It requires the values and partial derivatives of the performance to function with respect to the random variables for the design. These calculations can be cumbersome when the performance functions are implicit. A Gaussian process (GP)-based response surface is adopted in this study to approximate the limit state function. By using a trained GP model, a large number of values and partial derivatives of the performance functions can be obtained for conventional reliability analysis with a FORM, thereby reducing the number of stability analysis calculations. This dynamic renewed knowledge source can provide great assistance in improving the predictive capacity of GP during the iterative process, particularly from the view of machine learning. An iterative algorithm is therefore proposed to improve the precision of GP approximation around the design point by constantly adding new design points to the initial training set. Examples are provided to illustrate the GP-based response surface for both structural and non-structural reliability analyses. The results show that the proposed approach is applicable to structural reliability analyses that involve implicit performance functions and structural response evaluations that entail time-consuming finite element analyses.

• Journal of the Society of Disaster Information
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• v.11 no.3
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• pp.421-428
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• 2015

This study reviewed the occurrence and cases of disasters in the rural areas with an aim to establish safety village in rural areas. It also identified the occurrence of disasters and problems with on-site inspections of 6 villages which had suffered from disaster, and figured out people's awareness of and requirements for disaster and safety in rural areas by conducting surveys on the awareness of the residents. The research concluded as follows: First, it is required to come up with the measures to increase the interest of the rural residents in disaster and safety. Second, it is required to develop customized content to improve the residents' awareness of disaster prevention through continued education and trainings. Third, it is required to have legal/institutional grounds for continuous budget support and maintaining the continuity of business. Fourth, it is required to equally establish the structural and non-structural measures to make safety village.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.3
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• pp.345-352
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• 2020

Forest fires generate many types of risk as well as a wide and varied range of damage. Various studies and systems have emerged in response to wildfire disasters. International wildfire disaster safety management systems apply advanced technologies such as utilizing big data, GIS-based systems, and decision-making systems. This study analyzes South Korea's and other countries' forest fire disaster safety management systems, and suggests alternatives for wildfire disaster safety management in Korea. First, a means of integrating information, including field information, obtained by domestic agencies is proposed. Second, a method of applying big data to the disaster response system is proposed. Third, a decision-making system is applied to an existing GIS-based system. When applying the above countermeasures to Korea's existing disaster safety management system, various information and data can be visualized and thus more easily identified, leading to more effective decision-making and reduced fire damage.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.3
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• pp.67-93
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• 2017

This study aims to investigate research trends on disaster safety Information based on the language network analysis methods. To accomplish it, we collected 312 Korean thesis and scholarly articles on disaster safety information published between 2008 and 2017 from RISS (Research Information Sharing Service) site. With the collected data, this study performed the statistical analysis based on bibliographic data. Also, this study performed the analysis of frequency and language network on keyword extracted from titles on the collected scholarly articles and thesis. This study found out that researches recently on Bigdata related to disaster safety information have been rapidly increased. Also, the needs of sharing and utilizing disaster safety information have increased. Also the various types of disaster safety information such as spatial data, real-time information, geographic information has been used for the disaster response.

• The Korean Journal of Emergency Medical Services
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• v.25 no.2
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• pp.129-143
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• 2021

Purpose: This study aimed to identify the current status of school safety education and the differences in knowledge and practice of middle school students. Methods: A structured questionnaire was distributed to 418 middle school students in J province. The questionnaires consisted of 35 questions on the status of school safety education as well as the four school safety education domains of first aid, disaster safety, traffic safety, and daily life. Data were analyzed using frequency analysis, cross-tabulation analysis, a t-test, analysis of variance, and Pearson's correlations. Results: Awareness regarding the top seven standards for school safety and interest in school safety education were both relatively low. Among all the different kinds of safety accidents, those related to school violence(33.8%) and life safety(24.9%) were experienced the most in school. A more pleasant school life and better peer relationships led to interest in school safety(p=.000)(p=.000), awareness regarding the top seven standards for school safety(p=.022)(p=.009), adoption of coping measures(p=.000)(p=.000), and practice(p=.000)(p=.000) in case of safety accidents(p=.000)(p=.000). Conclusion: To increase awareness regarding the seven standards for school safety education and raise interest in safety education, it is necessary to cultivate experts and actively utilize them and to prepare systematic and continuous school safety education programs.

• Journal of the Korea Safety Management & Science
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• v.13 no.2
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• pp.43-49
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• 2011

New governance in the area of disaster management(New Governance) of the Safety Building in the form of public-private network as required in this era, SWOT can provide a strategic way to build public-private partnership recognized the necessity for a more efficient way. Between government agencies, private organizations and government and private organizations for the network between the systematic approach based on mutual trust, and participation by the activation of the meaning of seeing places studied. Partnership for Disaster Management as a result of the settlement than if the existing disaster management system for disaster response system more effective and efficient functioning in reducing human and material damage is expected to contribute are getting out.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.4
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• pp.223-246
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• 2017

This study explores the feasibility of our proposed disaster and safety record information archiving strategy and determines several problems encountered during actual operations. For practical experiments, 55 disaster and safety related organizations are selected and the detailed steps of our archiving strategy are implemented. Based on the real disaster and safety record information acquisition results, we analyzed the challenges of the proposed strategy. Furthermore, we suggested the improvements plans in terms of policy, technical, managerial, and service-oriented so as to become a more realistic strategy.