• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.10a
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• pp.111-112
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• 2016

Lately, In case of domestic fire situation, Suffocation due to inflammables has shown higher than direct disaster of the fire among the statistics of death caused by disaster. According to study, Lightweight Hybrid Panel as using the inner or outer wall is made with Polysilicon of the inorganic material, PA and vermiculite, so we make progress to performance experiment and review the density, thermal conductivity properties.

• Journal of the Society of Disaster Information
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• v.4 no.2
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• pp.124-136
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• 2008

The systematic information management of chemical accidents has been required as a tool for the policy making, system improvement and release of information concerning accident prevention. However, there is not yet a systematic chemical accidents tracking system in Korea, which make confusion among the related government agencies and the parties to accidents that the related statistics are different from each others. In this study, We developed the Chemical Accident Tracking System (CATS) using chemical accident classification which was made up of 12 upper classes, 70 middle classes, 272 lower classes. The CATS is mainly consist list up module, reporting module, searching and statistic module, etc. The CATS is expected to be applied to the information tracking and database system for chemical accidents and improve its manageability.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.283-284
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• 2023

본 논문에서는 데이터 수집 자동화를 기반으로 한 자연재해 피해 통계 사이트를 구현한다. 자연재해 피해액 데이터는 국민 재난 안전 포털 사이트[1]에 자연재난 상황 통계 데이터를 사용하였다. Python 라이브러리인 Selenium을 활용하여 웹 브라우저를 제어해 자연재해 데이터를 쿼리문으로 변환 후 데이터베이스에 저장하는 자동화 프로그램을 사용한다. 또한 nncron을 활용해 6개월마다 한 번씩 자동으로 프로그램이 실행되도록 한다. 자연재해 종류에 따른 연도별, 시도 구역 자연재해 피해액을 웹사이트로 시각화하여 보여준다. 웹사이트 구현은 React.js와 Node.js를 활용하여 구현하였다.

• Korean Journal of Remote Sensing
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• v.36 no.5_4
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• pp.1179-1194
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• 2020

This study investigates the feasibility of three algorithms, K-Nearest Neighbors (K-NN), Random Forest (RF) and Neural Network (NN), for estimating the air temperature of an unobserved area where the weather station is not installed. The satellite image were obtained from Landsat-8 and MODIS Aqua/Terra acquired in 2019, and the meteorological ground weather data were from AWS/ASOS data of Korea Meteorological Administration and Korea Forest Service. In addition, in order to improve the estimation accuracy, a digital surface model, solar radiation, aspect and slope were used. The accuracy assessment of machine learning methods was performed by calculating the statistics of R² (determination coefficient) and Root Mean Square Error (RMSE) through 10-fold cross-validation and the estimated values were compared for each target area. As a result, the neural network algorithm showed the most stable result among the three algorithms with R² = 0.805 and RMSE = 0.508. The neural network algorithm was applied to each data set on Landsat imagery scene. It was possible to generate an mean air temperature map from June to September 2019 and confirmed that detailed air temperature information could be estimated. The result is expected to be utilized for national disaster safety management such as heat wave response policies and heat island mitigation research.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.589-598
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• 2017

The purpose of this study is to define the relationships among awareness about the necessity of disaster preparedness education, the actual educational status, preparedness knowledge, and the certainty of knowledge among nurses. The study participants comprised a total of 125 nurses with over 3 months of clinical experience in general hospitals with more than 100 beds in a metropolitan city. Data were collected in January 2016 and analyzed by descriptive statistics, a t-test, ANOVA, and Pearson correlation coefficients. The results showed meaningful correlations between the existence of educational programs in hospitals and disaster preparedness abilities (r=.29, p=.001). There were also meaningful correlations between educational experience within a year and disaster preparedness abilities (r=.33, p<.001). There was a negative relationship between disaster preparedness abilities and knowledge (r=-.27, p=.003) and a positive relationship with confidence about the correctness of knowledge(r=.23, p=.003). Based on the results, an educational program in a clinical setting is needed to improve the degree of confidence about the correctness of knowledge and ultimately to enhance disaster preparedness abilities.

• Fire Science and Engineering
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• v.34 no.3
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• pp.49-57
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• 2020

Apartment buildings are becoming taller and more densely populated with the advancements in science and the development of cities, Consequently, various amenities and safety facilities are being developed to improve the quality of life for residents. However, according to statistics, the number of casualties in apartments accounts for a high proportion of accidents, and the leading cause of the casualties is smoke emitted from fires while sleeping at night. Although it is best to install separate indoor facilities in apartments to minimize smoke damages to occupants, it is useful to minimize the smoke damages by utilizing the installed facilities while reducing the financial burden of occupants. Based on the review, the heat exchanger ventilation system and the kitchen collective exhaust system were selected, and the feasibility of these systems was verified through fire simulation. From the verification results, the available safe egress time improved by 27, 30, and 35 s on the 25th, 35th, 50th floors, respectively.

• The Korean Journal of Applied Statistics
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• v.19 no.2
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• pp.217-230
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• 2006

e discuss proper confidence intervals for interval estimation of a low binomial proportion. A large sample surveys are practically executed to find rates of rare diseases, specified industrial disaster, and parasitic infection. Under the conditions of 0 < p ${\leq}$ 0.1 and large n, we compared 6 confidence intervals with mean coverage probability, root mean square error and mean expected widths to search a good one for interval estimation of population proportion p. As a result of comparisons, Mid-p confidence interval is best and AC, score and Jeffreys confidence intervals are next.

• Journal of Integrative Natural Science
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• v.13 no.1
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• pp.34-40
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• 2020

This study aims to create a model for predicting the number of extinguishment manpower to put out forest fires by taking into account the climate, the situation, and the extent of the damage at the time of the forest fires. Past research has been approached to determine the cause of the forest fire or to predict the occurrence of a forest fire. How to deal with forest fires is also a very important part of how to deal with them, so predicting the number of extinguishment manpower is important. Therefore predicting the number of extinguishment manpower that have been put into the forest fire is something that can be presented as a new perspective. This study presents a model for predicting the number of extinguishment manpower inputs considering the scale of the damage with forest fire on a scale bigger than 0.1 ha as data based on the forest fire annual report(Korea Forest Service; KFS) from 2015 to 2018 using the moderated multiple regression analysis. As a result, weather factors and extinguished time considering the damage show that affect forest fire extinguishment manpower.

• Journal of the Korea Safety Management & Science
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• v.24 no.3
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• pp.15-21
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• 2022

This study examined the certification effects of safety and health management system (SHMS) on the establishment level of SHMS and accident statistics in construction industry. This study obtained the establishment level of SHMS for 106 construction companies surveyed from our previous study. In addition, three major accident statistics (mortality rate, accidental mortality rate, and injury rate) for the companies were collected from the database in Korean Occupational Safety and Health Agency. The statistical analysis results revealed that the establishment level for SHMS certified companies was significantly higher than those for uncertified or certification preparing companies. Furthermore, SHMS certified companies showed significantly smaller accident statistics compared to uncertified or certification preparing companies. The results of this study support the positive effects of SHMS on reducing major industrial accidents in construction companies.

• Journal of the Korean association of regional geographers
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• v.21 no.2
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• pp.364-378
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• 2015

As safety Issue becomes one of the hot topics, practical researches and feasible policies are in needs not only for central government but also local officers. The previous studies focused on organizational or institutional approaches and on functional efficiencies, especially how to integrate disaster data at every stage of disaster from preparedness to recovery. Physical and social environments differ from among others, top-down disaster management plan cannot work, and therefore more practical statistics and survey is required to prepare the safety management plan for local government. We aim to suggest a safety environment survey framework and to apply it to two guns (Muan and Goheung). We considered main factors of the framework based on legal requirement for safety index and four stages of disaster progress. Two guns are located in remote area and have a population who are weak to disaster. Action items were drawn from the survey and analysis from the framework respectively. We expect this framework to be expanded to include more urbanized and complex areas.