• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.25 no.6_2
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• pp.599-611
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• 2007

Among natural disasters that lead to devastating damage, floods from heavy rains have been causing hundreds of victims and a great loss of their properties every year. Basically, there is no other way to deal with the problem considering the characteristics of natural disaster, but more specific studies for a preventive measure of flood has been in progress so far. However, the controversy over the problem is going on due to the objection of some environmental organizations or some economic reasons. The key point is to select the most likely area for a preventive measure of floods where a huge amount of the national budget is put into it. This is the factor which judges whether it would be a success or failure. This study aims to provide some basic data for deciding the priority order in a disaster preventing plan by drawing more potential damage areas from the connection with GIS and using them into the economic analysis for flood prevention industries.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.399-408
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• 2016

This research was conducted to analyze the relationship among school bullying types, collaboration empathy skills, and adaptation of school life. A survey was conducted for the research, and asked 213 adolescents in middle and high schools in capital area(middle school: 106, high school: 107). Data Analysis was used a two-step cluster analysis to classify the type of bullying, explanation of a prediction variable according to the groups were analyzed by a multiple logistic regression analysis. The results of analysis of the research are as in the following. First, experience of afflicting or suffering from school bullying had negative correlation with collaboration empathy skills, and also with school life adaptation. Secondly, assailant group and victim group of school bullying was related to the lack of collaboration skill, and also related with empathy skill. Thirdly, collaboration empathy skills was influential factor on the adaptation of school life. Based on the results, collaboration empathy skills reduce the experience of bullying, and have a positive impact on the adaptation of school life. It confirmed the need for a social skills training program and discussed the implications.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.1769-1778
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• 2009

Due to the industrialization and urbanization, the transport of hazardous materials increases, which rises possibilities in occurring prospective accidents in terms of hazardous material transport as well. This study applied the model developed from the previous research to analyze the scale of damage areas from the accidents related to hazardous material accidents, as well as suggested a method to measure automatically the scale of accident including casualties and environmental damage based on the guideline which suggests the quantities of hazardous materials exposed from an accident and was defined in the study of standardization for hazardous material classification. A buffering analysis technique of Geographic Information System (GIS) was applied for that. To apply the model which evaluates the scale of population and exposure to environment on each link, rail network, zones, rail accident data, rail freight trips, and locations of rivers etc were complied as a database for GIS analysis. In conclusion, a method to measure damage areas by the types of hazardous materials was introduced using a Clip and a Special Join technique for overlay analysis.

• Journal of Convergence for Information Technology
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• v.10 no.1
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• pp.51-59
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• 2020

The purpose of this study is to find out the relationship between violence damage experience and mental health of multicultural youths in Korea, and to use it as a basic data in developing mental health promotion interventions for multicultural youths. This study is a secondary data analysis based on the 2018 Youth Health Behavior Survey. Data analysis is based on IBM 25 ver. SPSS was used and logistic regression analysis was performed using complex samples. As a result of this study, factors affecting the mental health characteristics of multicultural youths in general are violent damage experience, gender, and subjective health. Suicide plans and suicide attempts were high. Although this study is a secondary data analysis study, it is difficult to grasp the school violence damage and mental health causality.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.25 no.7
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• pp.757-766
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• 2014

In this paper, economic loss due to high power electromagnetic pulse is estimated and the methodology used for calculating its impacts is suggested using a macro approach. In order to investigate the most critical infrastructure for the high power electromagnetic pulse assault, the vulnerability assessment that provides information on the threats of concern is conducted. As a result, this study concentrates on the electric power networks. The presented assessment model is considered with gross domestic product (GDP) and energy consumption when the electric power networks are damaged due to high power electromagnetic pulse. In addition, economic losses are calculated by the extent of damages considering different types of the high power electromagnetic pulse assault generated by nuclear and man-made weapon. Through the estimation of these damages, the resulted economic loss will be compared with the protection cost. Consequently, protection of the vulnerable infrastructures can be prepared against electromagnetic pulse attack.

• Korean Journal of Remote Sensing
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• v.35 no.6_4
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• pp.1341-1350
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• 2019

This research deals with algorithm for forest fire severity classification using multi-temporal KOMPSAT-3A image to mapping forest fire areas. The recent satellite of the KOMPSAT series, KOMPSAT-3A, demonstrates high resolution and multi-spectral imagery with infrared and high resolution electro-optical bands. However, there is a lack of research to classify forest fire severity using KOMPSAT-3A. Therefore, the purpose of this study is to analyze forest fire severity using KOMPSAT-3A images. In addition, this research used pre-fire and post-fire Sentinel-2 with differenced Normalized Burn Ratio (dNBR) to taking for burn severity distribution map. To test the effectiveness of the proposed procedure on April 4, 2019, Gangneung wildfires were considered as a case study. This research used the probability density function for the classification of forest fire damage severity based on R software, a free software environment of statistical computing and graphics. The burn severities were estimated by changing NDVI before and after forest fire. Furthermore, standard deviation of probability density function was used to calculate the size of each class interval. A total of five distribution of forest fire severity were effectively classified.

• The Journal of Society for e-Business Studies
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• v.16 no.4
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• pp.17-31
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• 2011

Damage caused by private information breach causes serious problems and huge social losses. In order to make a better policy that prevents society from suffering from the damage, we have to know about the actual size of damage. So it is needed to develop a quantitative model of private information breach that helps catching the more accurate size of damage. In our study, we suggest a method which calculate not only the costs of damage from firms' perspective but also those from individual and social perspectives. In this process, we refer to methods adopted by JNSA(Japan Network Security Association) and Ponemon Research Institue and modify it with considering our current situation. Also we try to make a new model by using new methods(web traffic analysis, survey, indirect comparison, etc.) and verify it with theories and methods from econometrics, cost accounting and theory of producer.

• Korean journal of applied entomology
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• v.31 no.2
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• pp.174-181
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• 1992

Early, mid, and late maturing soybean varieties were artificially infested with larvae of Delia platura at seeding, and then later development and productivity of soybeans were studied. In addition, in hope to utilize as possible tactics in the management of D. platura in soybeans, cultural factors such as contents of organic matter in soil, soil types, and the use of plastic mulching on the degree of damage to soybean plants by D. platura were examined. Primary leaf damage by the larva delayed the forthcoming vegetative growth but not the blooming which is initiated by the change in day length. Degree of delay in growth was more severe where leaf damage was induced by insect infestation than where artificially excised, apparently owing to simultaneous damage in stems and roots besides primary leaves. Productivity of soybeans also dropped significantly in plants with 25 % or more loss in the primary leaf area by the larva. Both transparent and black plastic mulchings shortened the period from seeding to emergence of soybean thus reducing the chance of possible attack by the larva. Soybean seedlings grown in clay loam or clay were attacked less by the larva than those in other types of soil. High organic matter content in the soil enhanced speed of emergence resulting in less larval damage to the seedling.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.4B
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• pp.361-366
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• 2010

It would be helpful to evaluate the potential flood damage and compare quantitatively with each other when establishing the regional flood countermeasure and determining the execution of the restoration works and emergency action plans. The Flood Damage Index (FDI) in Korea, possible to estimate localized potential risks caused by flood damages, therefore, was proposed in this study. It was considered with the scale of regional flood damages including the regional characteristics and quantitative grounds. First, the four significant causes were categorized as natural, social, politic, and facilitative ones. And the eleven selected factors representing four causes were determined. Finally, the FDI was obtained by the weighting linear summation of the corrected 11 factors multiplied by the weighting values based on the professional questionnaires. Employing the FDI, the potential risk analysis about flood damages for 229 cities and counties in Korea was conducted. These results would be utilized as the essential basis for more rational and practical countermeasures and plans against flood damage.

• Journal of Cadastre & Land InformatiX
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• v.50 no.1
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• pp.201-214
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• 2020

This study aimed to early detect damaged trees by pine wilt disease using the vegetation indices of UAV images. The location data of 193 pine wilt disease trees were constructed through field surveys and vegetation index analyses of NDVI, GNDVI, NDRE and SAVI were performed using multi-spectral UAV images at the same time. K-Means algorithm was adopted to classify damaged trees and confusion matrix was used to compare and analyze the classification accuracy. The results of the study are summarized as follows. First, the overall accuracy of the classification was analyzed in order of NDVI (88.04%, Kappa coefficient 0.76) > GNDVI (86.01%, Kappa coefficient 0.72) > NDRE (77.35%, Kappa coefficient 0.55) > SAVI (76.84%, Kappa coefficient 0.54) and showed the highest accuracy of NDVI. Second, K-Means unsupervised classification method using NDVI or GNDVI is possible to some extent to find out the damaged trees. In particular, this technique is to help early detection of damaged trees due to its intensive operation, low user intervention and relatively simple analysis process. In the future, it is expected that the utilization of time series images or the application of deep learning techniques will increase the accuracy of classification.