• 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.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2006.04a
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• pp.216-221
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• 2006

This study provides a methodology for development of the Seismic Damage Evaluation System (SDES) in Korea. Major systems and status of database related to road networks in Korea are investigated to analyze the usability of the required information for developing the SDES. In this study, the SDES is composed of four components that are the road network component, the ground motion component, the fragile structure component, and the cost component. In addition, the procedures for the construction of database which support the SDES is proposed, and a prototype of the SDES for expressway of Korea is developed based on the developed methodology. The National Geospatial Information System (NGIS) and the National Earthquake Information System (NEIS) are used to develop the road network component and ground motion component, respectively. For the fragile structure component and the cost component, Highway Bridge Management System (HEMS) was used.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1998.10a
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• pp.61-68
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• 1998

It has become important to evaluate the qualitive reliability and condition assessment of existing structural systems in order to establish a rational program for repair and maintenance. Since most of if existing structural system may suffer from defect corrosion and damage, it is necessary to account for their effects in fuzzy reliability analysis, In this paper, an attempt is made to develope a reliability analysis for damaged structural systems using failure possibility theory. Damage state is specified in terms of linguistic valiables using natural language information and numerical information, which are defined by fuzzy sets. Using a subjective condition index of failure possibility and information of the damage state is introduced into the calculation of failure probability. The subjective condition index of quantitative and qualitative analysis method is newly proposed based on the fuzzy set operations, namely logical product, drastic product, logical sum and drastic sum

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.207-210
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• 2014

Damage is increasing by (Smishing) hacking attack Smishing you use a smart phone after entering 2013. Takeover of personal information and direct financial damage in collaboration with graphics sewing machine hacking attack has occurred. Monetary damage that leads to Internet payment service (ISP) and secure payment system in conjunction with graphics sewing machine hacking attack on a smartphone has occurred. In this paper, I will study analysis in the laboratory examples of actual infringement vinegar sewing machine hacking attack. It is a major power security measures to prevent damage to the secure payment system that a case analysis and practical principle technical nest sewing machine hacking attack, using Smishing. In this paper, I will be to research to be able to through a smart phone, to the online payment safer and more convenient.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.7-14
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• 2023

Recently, the importance of impact-based forecasting has increased along with the socio-economic impact of severe weather have emerged. As news articles contain unconstructed information closely related to the people's life, this study developed and evaluated a binary classification algorithm about snowfall damage information by using media articles text mining. We collected news articles during 2009 to 2021 which containing 'heavy snow' in its body context and labelled whether each article correspond to specific damage fields such as car accident. To develop a classifier, we proposed a probability-based classifier based on the ratio of the two conditional probabilities, which is defined as I/O Ratio in this study. During the construction process, we also adopted the n-gram approach to consider contextual meaning of each keyword. The accuracy of the classifier was 75%, supporting the possibility of application of news big data to the impact-based forecasting. We expect the performance of the classifier will be improve in the further research as the various training data is accumulated. The result of this study can be readily expanded by applying the same methodology to other disasters in the future. Furthermore, the result of this study can reduce social and economic damage of high impact weather by supporting the establishment of an integrated meteorological decision support system.

• Journal of electromagnetic engineering and science
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• v.15 no.3
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• pp.123-128
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• 2015

Previously, we investigated extremely low-frequency magnetic fields (ELF-MFs) on diverse DNA damage responses, such as phosphorylated H2AX (${\gamma}H2AX$), comet tail moments, and aneuploidy production in several non-tumorigenic epithelial or fibroblast cell lines. However, the effect of ELF-MF on DNA damage responses in neuronal cells may not be well evaluated. Here, we investigated the effects of ELF-MF on the DNA damage responses in HT22 non-tumorigenic mouse neuronal cells. Exposure to a 60-Hz, 2 mT ELF-MF did not produce any increased ${\gamma}H2AX$ expression, comet tail moments, or aneuploidy formation. However, 2 mT ELF-MF transiently increased the cell number. From the results, ELF-MF could affect the DNA damage responses differently, depending on the cell lines.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.2
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• pp.465-472
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• 2019

In recent years, the cyber attack has become a universal phenomenon, and the attacks in cyberspace are regarded as a kind of war, cyber-warfare. However, cyber-warfare is difficult to identify the damage caused by the attack. In order to effectively evaluate the damage to the attack that may occur in the cyber-warfare, this paper describes the damage evaluation simulation of the cyber-warfare based on DEVSim++, which can calculate the damage to the cyber attack using the MOCE (Measure of Cyber Effectiveness). Also, in order to help the commander in the cyber Command&Control phase, the number of victims by attack classification is expressed in the form of Venn diagram.

• The Transactions of the Korea Information Processing Society
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• v.13 no.5
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• pp.217-220
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• 2024

Predicting earthquake occurrences accurately is challenging, and preparing all buildings with seismic design for such random events is a difficult task. Analyzing building features to predict potential damage and reinforcing vulnerabilities based on this analysis can minimize damages even in buildings without seismic design. Therefore, research analyzing the efficiency of building damage prediction models is essential. In this paper, we compare the accuracy of earthquake damage prediction models using machine learning classification algorithms, including Random Forest, Extreme Gradient Boosting, LightGBM, and CatBoost, utilizing data from buildings damaged during the 2015 Nepal earthquake.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.8
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• pp.524-535
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• 2006

With rapid development of Internet technology, business management in an organization or an enterprise depends on Internet-based technology for the most part. Furthermore, as dependency and cohesiveness of network in the communication facilities are increasing, cyber attacks have been increased against vulnerable resource in the information system. Hence, to protect private information and computer resource, research for damage propagation is required in this situation. However the proposed traditional models present just mechanism for risk management, or are able to be applied to the specified threats such as virus or worm. Therefore, we propose the probabilistic model of damage propagation based on the Markov process, which can be applied to diverse threats in the information systems. Using the proposed model in this paper, we can predict the occurrence probability and occurrence frequency for each threats in the entire system.

• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.127-136
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• 2020

Chemical terrorism and accidents using chemicals are continuously occurring and attempted in and out of the country. In Korea, the National Institute of Chemical Safety affiliated with Ministry of Environment employs the CARIS(Ver. 2018) to assess the damage impact range for field-based response against chemical terrorism and accidents. However, the current version of CARIS can not consider the effects of closed space such as indoor and underground, so it is difficult to provide accurate evaluation results for damage impact range required for field response, on top of the limited information available. The limitations and directions for improvement were studied by comparing and reviewing the evaluation results of the damage impact range obtained by driving CARIS (Ver. 2018) and the domestic and foreign literature. Proposed improvements also included the direction of information provided to residents, including the need to build modeling for special points, such as underground, indoor, etc., and on-site response personnel. It is expected that through the continuous supplementation and correction of CARIS, chemical terrorism and accident response capability system will be advanced further.