• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.1004-1013
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• 2013

The purpose of this study was to investigate the effect of education of natural disaster on eco-friendly attitude of children in integrated class in the lower grades in elementary school. For the above mentioned purpose, 2 children with developmental delay and 45 general children enrolled in two integrated classes in the first grade in C Elementary School located in G City. The class that wanted to participate in this program was designated as an experimental group and the other class as a comparative group. Total 18 times of session of experimental treatment were performed during the second semester of the first grade. The effect of education of natural disaster was measured by using the tool revised and adapted by Heoh, Yun Jeong on the basis of CATES-PV designed by Musser and Diamond. As results, it was appeared that education of natural disaster was effective to increase eco-friendly attitude of children in integrated class in the lower grades in elementary school. The results that ability and attitude which were goals of the current education related to environment such as love and concern for animals and plants, life respect consciousness, preference for natural environment rather than artificial environment, conservation of nature and resources saving etc of children who received education of natural disaster suggest necessity to rethink the meaning and scope about education of natural disaster for Korean children in the preset.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.290-298
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• 2019

This study investigated a total of 22 types (15 types of natural disasters and seven types of social disasters) of disaster and safety data based on the National Daily Situation Report, Disaster Yearbook and annual Disaster Annals issued by the Ministry of Public Administration and Security. Disaster safety data were collected from the daily situation report of MOIS (Ministry of the Interior and Safety). The number of total data cases were 1,760, of which 656 were natural disasters and 1,104 were social disasters. The disasters were then patternized according to their characteristics. The patterning was conducted to set up the disaster and safety data system designed to keep disaster situations under prompt and effective management. The study analyzed the data associated with the activities in the response and recovery stages according to the disaster type. Furthermore, based on the management activities performed with the flow of time following a disaster, this study classified and proposed disaster and safety data patterns to achieve effective disaster management work by analyzing the characteristics of a disaster and safety data and disaster and safety management procedures. Disasters of high similarity were classified by merging and deleting them. This was done to consider the scalability and mutual linkage so that it can be used in the establishment of national statistical data, such as the disaster annual report and disaster annuity.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.681-684
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• 2004

In order for effective damage prevention, it is necessary to have some idea of when, where, why and what kind of natural disasters may strike, and how large they may be. In this study, I made a database which can be use for GIS to facilitate multivariate analysis of presently available data for Shizuoka prefecture. This analysis can map out likely natural disaster locations and causes. Using the result of this analysis for GIS, a regional range of the disaster categorized by factors can be shown and analyzed visually and easily updated when a disaster occurs in the future.

• Journal of the Korean Institute of Rural Architecture
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• v.20 no.4
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• pp.53-64
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• 2018

Disasters that occur most frequently in rural areas are drought, flood, damages from wind and cold weather. In order to overcome the damage caused by natural disasters, various projects related to safety and disaster prevention. However, Government-centered disaster recovery operating system showed difficulties to utilize the natural scenery and ecological environment of rural villages. So the participation of the residents is necessary. Therefore, this study aims to find a more effective disaster recovery direction by suggesting the application method, Inhabitant-friendly improving a village environment contents in Rural Disaster Villages, for continuous disaster management. The research methods were literature analysis, interviews, and expert discussion. As a result, it was found that the rural disaster village environmental improvement facilities, inhabitant-friendly recovery system, and inhabitant-friendly village environment contents and suggests a application method of inhabitant-friendly village environment contents. The research will be used as basic data when preparing a guide for improving the environment for residents in rural villages.

• Journal of Satellite, Information and Communications
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• v.12 no.4
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• pp.1-10
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• 2017

Sudden natural disasters such as earthquakes, typhoons, heavy rainfall, etc., which come without warning, often threaten our lives and property, so it is important to spread the disaster quickly and accurately. Thus, in this paper, we present a method for the activating of FM radio receiver chip embedded in smartphone to receive disaster broadcasting in case of disaster. One is to investigate the roles and limits in a domestic disaster broadcasting system and disaster relay broadcasting by media, and the other is to present the method for the activation of smartphone FM radio receiver chip by conduct an expert survey.

• Journal of Korea Water Resources Association
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• v.46 no.8
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• pp.843-855
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• 2013

In the modern society with high science and technological level, many people have been tried to mitigate natural disaster. The disaster was so huge that we made special service organization which deal with 'The Natural Disaster Endangered Districts'. But the analysis of the organization's works was inadequate. In order to analyze their regeneration project, this study selected analysis area and did a spot survey. We did validity, reliability tests and statistical data analysis of this survey. We also did reliability analysis of this policy using Structural Equation Model. According to the result, there is a reasonable suitability in 'The Natural Disaster Repair work Policy'. And it also improved spiritual, substantial environment of the surrounding people. The people formed positive awareness about Government Repairing Policy. This 'Natural Disaster Repair work Policy' is essential to improve and develop local community. Therefore it will affect democratic development of society.

• Journal of the Society of Disaster Information
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• v.3 no.2
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• pp.39-53
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• 2007

In modern society, the natural disaster damage is increasing by unusual weather conditions such as global warming. Many disaster victims in the disaster spot suffered from the heavy damages. In these conditions, this paper aims to improve of relief system in disaster. To achieve our aims, we analyzed the present disaster relief system in a legal, institutional aspect and disaster relief on the conceptual content, and look at the contents of the damage I have seen. And we are look at the issue of disaster relief, disaster relief measures to improve the present. In conclusion, this research suggests the improvements of the disaster relief system. First, Donations to secure transparency of the scheme passes. Second, the reality of actual expenses paid farmland. Third, recovery estimate by the reality. Fourth, when the disaster occurred, and the disaster of the itemized information. Finally, the degree of damage to the housing relief material support systems need improvement.

• Korean Journal of Artificial Intelligence
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• v.10 no.1
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• pp.1-7
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• 2022

In this paper, a study was conducted to predict natural disasters in Afghanistan based on machine learning. Natural disasters need to be prepared not only in Korea but also in other vulnerable countries. Every year in Afghanistan, natural disasters(snow, earthquake, drought, flood) cause property and casualties. We decided to conduct research on this phenomenon because we thought that the damage would be small if we were to prepare for it. The Azure Machine Learning Studio used in the study has the advantage of being more visible and easier to use than other Machine Learning tools. Decision Forest is a model for classifying into decision tree types. Decision forest enables intuitive analysis as a model that is easy to analyze results and presents key variables and separation criteria. Also, since it is a nonparametric model, it is free to assume (normality, independence, equal dispersion) required by the statistical model. Finally, linear/non-linear relationships can be searched considering interactions between variables. Therefore, the study used decision forest. The study found that overall accuracy was 89 percent and average accuracy was 97 percent. Although the results of the experiment showed a little high accuracy, items with low natural disaster frequency were less accurate due to lack of learning. By learning and complementing more data, overall accuracy can be improved, and damage can be reduced by predicting natural disasters.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.69-71
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• 2005

Earthquake disaster frequently happens in Shizuoka Prefecture and it is commonly predicted that a giant earthquake(Tokai Earthquake) could occur in the near future. When a giant earthquake happens, extensive damage of lifelines will be expected. It is considered that the collection of damage information and the establishment of a communication network system are very important in order to restore lifelines quickly. And geographic information system(GIS) might playa very important role to grasp the spatial information of lifeline damage in a natural disaster. The authors' group had a research project to study a lifeline restoration support system with image processing and ad hoc networking in a natural disaster. The objectives of this presentation are to introduce our project and to show some results of our study. The authors finally constructed the GIS for the integration of damage information acquired by image processing and ad hoc networking.

• Proceedings of the Korean Geotechical Society Conference
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• 2005.10a
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• pp.107-116
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• 2005

Korea has been suffering from various natural disasters. Slope-stability related disasters such as landslides usually occur during typhoon and torrential rain season. Types of slope-stability related disasters can be classified as failures in cut slopes along constructed roads, landslides in natural terrain, and retaining structure failures in urban area. This paper summarizes human casualties for the last 29 years in Korea, reviews field studies for the disaster sites that caused human casualties due to torrential rains in the Summer of 2005, analyzes causes of slope-stability related disasters and includes recommendations for an effective management system.