• Journal of the Korean Institute of Gas
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• v.24 no.4
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• pp.48-55
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• 2020

The installation of lightning protection system has recently been increasing, but the amount of damage has still been increasing. In this study, survey (interview) and field conditions were conducted to identify the installation and safety standards of the lightning protection system. it was analyzed that the safety management system is non-existent at the stage of the design, manufacturing and construction of the site lightning protection system, and that the safety inspection of the lightning protection facility is not properly managed. It has been shown that lightning protection systems, that can solve these problems, need to be re-established according to the reality so that safety inspection can be carried out in accordance with safety standards such as management of safety certification products, operation of survey institutions, design, manufacturing, and construction of safety standards at a national level.

• Journal of the Korea Institute of Building Construction
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• v.21 no.1
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• pp.79-86
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• 2021

On the construction site, there exists frequently a high likelihood that a fire accident can lead to a large-scale disaster. In the previous studies, the diverse outcomes have been focused on the improvement of relative statutes and tried to realize the suppression and confrontation of the fire accidents. In this study, the limitations on the site were identified through prior research reviews, and the fire risk assessment checklist was proposed through the analysis of the massive accident cases. The checklist was divided into the prevention and minimization steps and developed into 16 categories of total risk factors. According to the results from the cases applied in this study, if the installation status is checked, such as removing combustibles, and broadcasting facilities for evacuation are installed, it is expected that the casualties will be minimized or zeroed. By developing a fire risk assessment checklist, this study provides the implications of the theoretical and realistic fire accident prevention, and supports the ways to minimize the damage resulted from the fire accidents on construction sites. In the further, deriving universe and common items about repeated occurrences of a work type will be needed as a subsequent research.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.1
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• pp.159-176
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• 2022

This study aims to develop a COVID-19 documentation strategy for university archives, which will act as a response system to infectious diseases. The study applied the phases of "documentation area definition and preliminary analysis" and "documentation strategy drafting" described in Heckman's documentation strategy model. In defining the documentation area and doing preliminary analysis, the author analyzed the cases of COVID-19 documentation projects at overseas university archives and conducted interviews with stakeholders. In drafting the documentation strategy, the author interviewed three archivists working in university archives. From these findings, the documentation strategy plan was developed and revised based on the feedback from archivists. The strategy plan covers the documentation purpose, subject/functional area, group, reference information, and major considerations. The findings of this study might be useful for figuring out ways to secure records related to COVID-19 or other infectious diseases in university archives.

• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.864-881
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• 2021

Purpose: This study aims is to provide a total care solution preventing disaster based on Big Data and AI technology and to service safety considered by individual situations and various risk characteristics. The purpose is to suggest a method that customized comprehensive index services to prevent and respond to safety accidents for calculating the living safety index that quantitatively represent individual safety levels in relation to daily life safety. Method: In this study, we use method of mixing AHP(Analysis Hierarchy Process) and Likert Scale that extracted from consensus formation model of the expert group. We organize evaluation items that can evaluate life safety prevention services into risk indicators, vulnerability indicators, and prevention indicators. And We made up AHP hierarchical structure according to the AHP decision methodology and proposed a method to calculate relative weights between evaluation criteria through pairwise comparison of each level item. In addition, in consideration of the expansion of life safety prevention services in the future, the Likert scale is used instead of the AHP pair comparison and the weights between individual services are calculated. Result: We obtain result that is weights for life safety prevention services and reflected them in the individual risk index calculated through the artificial intelligence prediction model of life safety prevention services, so the comprehensive index was calculated. Conclusion: In order to apply the implemented model, a test environment consisting of a life safety prevention service app and platform was built, and the efficacy of the function was evaluated based on the user scenario. Through this, the life safety index presented in this study was confirmed to support the golden time for diagnosis, response and prevention of safety risks by comprehensively indication the user's current safety level.

• Journal of the Korean Society of Earth Science Education
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• v.12 no.3
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• pp.291-301
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• 2019

The purpose of this study is to develop HTE-STEAM program using natural disasters for high school students and to verify their attitude and satisfaction with STEAM. We developed the HTE-STEAM program utilizing natural disasters and tested the effectiveness of 243 students from G High School and N High School. For data analysis, a single group pretest and post response t-test were conducted to verify the effects on attitudes and satisfaction with STEAM. The research results are as follows. First, we developed STEAM education programs for high school students by selecting the topic of "natural disasters" in the area of earth science and flying drones as lifesaving drones. The six-hour program was designed to give students the experience to solve problems by applying essential knowledge related to natural disasters and drones, and what they learned in other situations. Second, there was a significant statistical test result in the t-test of the corresponding sample by the difference between the pre and post score of the STEAM attitude test (p <.05). The drone-based HTE-STEAM program had a significant improvement in the overall attitude toward STEAM education, which consists of seven subfactors. Third, in the HTE-STEAM satisfaction test, the average value of the lower job offer was 3.64 ~ 3.76, which showed a positive response overall. It is judged that the students' satisfaction is improved through the students' understanding of the problem situation and the design of creative convergence and production process.

• Journal of the Society of Disaster Information
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• v.9 no.4
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• pp.449-461
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• 2013

As the hydrofluoric acid leak in Gumi-si, Gyeongsangbuk-do or hydrochloric acid leak in Ulsan, Gyeongsangnam-do demonstrated, chemical related accidents are mostly caused by large amounts of volatile toxic substances leaking due to the damages of storage tank or pipe lines of transporter. Safety assessment is the most important concern because such toxic material accidents cause human and material damages to the environment and atmosphere of the surrounding area. Therefore, in this study, a hydrofluoric acid leaked from a storage tank was selected as the study example to simulate the leaked substance diffusing into the atmosphere and result analysis was performed through the numerical Analysis and diffusion simulation of ALOHA(Areal Location of Hazardous Atmospheres). the results of a qualitative evaluation of HAZOP (Hazard Operability)was looked at to find that the flange leak, operation delay due to leakage of the valve and the hose, and toxic gas leak were danger factors. Possibility of fire from temperature, pressure and corrosion, nitrogen supply overpressure and toxic leak from internal corrosion of tank or pipe joints were also found to be high. ALOHA resulting effects were a little different depending on the input data of Dense Gas Model, however, the wind direction and speed, rather than atmospheric stability, played bigger role. Higher wind speed affected the diffusion of contaminant. In term of the diffusion concentration, both liquid and gas leaks resulted in almost the same $LC_{50}$ and ALOHA AEGL-3(Acute Exposure Guidline Level) values. Each scenarios showed almost identical results in ALOHA model. Therefore, a buffer distance of toxic gas can be determined by comparing the numerical analysis and the diffusion concentration to the IDLH(Immediately Dangerous to Life and Health). Such study will help perform the risk assessment of toxic leak more efficiently and be utilized in establishing community emergency response system properly.

• Journal of Korea Water Resources Association
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• v.54 no.spc1
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• pp.1107-1118
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• 2021

Climate change brought on by global warming increased the frequency of flood and drought on the Korean Peninsula, along with the casualties and physical damage resulting therefrom. Preparation and response to these water disasters requires national-level planning for water resource management. In addition, watershed-level management of water resources requires flow duration curves (FDC) derived from continuous data based on long-term observations. Traditionally, in water resource studies, physical rainfall-runoff models are widely used to generate duration curves. However, a number of recent studies explored the use of data-based deep learning techniques for runoff prediction. Physical models produce hydraulically and hydrologically reliable results. However, these models require a high level of understanding and may also take longer to operate. On the other hand, data-based deep-learning techniques offer the benefit if less input data requirement and shorter operation time. However, the relationship between input and output data is processed in a black box, making it impossible to consider hydraulic and hydrological characteristics. This study chose one from each category. For the physical model, this study calculated long-term data without missing data using parameter calibration of the Soil Water Assessment Tool (SWAT), a physical model tested for its applicability in Korea and other countries. The data was used as training data for the Long Short-Term Memory (LSTM) data-based deep learning technique. An anlysis of the time-series data fond that, during the calibration period (2017-18), the Nash-Sutcliffe Efficiency (NSE) and the determinanation coefficient for fit comparison were high at 0.04 and 0.03, respectively, indicating that the SWAT results are superior to the LSTM results. In addition, the annual time-series data from the models were sorted in the descending order, and the resulting flow duration curves were compared with the duration curves based on the observed flow, and the NSE for the SWAT and the LSTM models were 0.95 and 0.91, respectively, and the determination coefficients were 0.96 and 0.92, respectively. The findings indicate that both models yield good performance. Even though the LSTM requires improved simulation accuracy in the low flow sections, the LSTM appears to be widely applicable to calculating flow duration curves for large basins that require longer time for model development and operation due to vast data input, and non-measured basins with insufficient input data.

• Fire Science and Engineering
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• v.33 no.6
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• pp.159-164
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• 2019

This study aims to minimize casualties in the event of an apartment fire by developing a virtual reality (VR) fire-training program (using the latest IT techniques) and verifying its validity as a learning tool. For this purpose, environmental parameters, such as the unit floor's size and the composition of the family, were established. Then, possible fire scenarios that could occur in the apartment building were developed and implemented in a VR setting. Finally, a survey was conducted to review the responses to the program. The results of the survey demonstrated that the responses were positive, confirming the effectiveness of the program.

• Research in Community and Public Health Nursing
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• v.28 no.3
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• pp.347-356
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• 2017

Purpose: The purpose of this study was to provide basic evidence to improve community health nursing practice education by analyzing the current status of actual operation, program outcomes and evaluation methods, and the level of achieving learning goals. Methods: Data were collected through an e-mail survey from 155 professors teaching community health nursing in April 2016. Out of 45 responses in total, 42 cases were used for analysis (response rate 29.0%). Results: Community health nursing practice was a 3-credit course in most of the schools (66.7%) and included a practice at public health centers without exception. The most common diagnosis classification system was OMAHA (81.0%). The core fundamental nursing skills evaluated during the practice were subcutaneous injection, vital signs, oral administration, and intradermal injection. Among the subjects of community health nursing practice, the area with the highest potential for achieving learning goals was primary health care provision (4.4/5) and the area with the lowest potential was disaster management (2.4/5). Conclusion: The results of this study show that there would be active efforts to complement and improve several problems of the community health nursing practice among the community health nursing practice instructors for more effective and qualitative community health nursing practice.

• Journal of the Korea Concrete Institute
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• v.16 no.4 s.82
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• pp.501-509
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• 2004

The proposed model can predict the compressive behaviors of concrete confined with fiber reinforced polymer (FRP) jacket. To model confining concrete by FRP jackets, the hypoelasticity-based constitutive law of concrete In tri-axial stress states has been presented. The increment of strength of concrete has been determined by the failure surface of concrete in tri-axial states, and its corresponding peak strain is computed by the strain enhancement factor that is proposed in the present study, Therefore, the newly proposed model is a load-dependent confinement model of concrete wrapped by FRP jackets to compare the previous models which are load-independent confinement models. The behavior of FRP jackets has been modeled using the mechanics of orthotropic laminated composite materials in two-dimension. The developed model is implemented into the incremental analysis of compressive tests. The verification study with several different experiments shows that the model is able to adequately capture the behavior of the compression test by including better estimations of the axial responses as well as the lateral response of FRP-confined concrete cylinders.