• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.7
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• pp.14-19
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• 2009

This paper presents statistics on lightning-caused damage to humans, structures, and electrical and electronic equipment. To reduce the number and amount of casualties and damage caused by lightning strikes, the statistical analysis of lightning-related damage reports is important in establishing lightning protection measures. The statistics of lightning death, injury and damage in Korea from 2000 to 2007 were primarily derived from mass media As a result, the annual average of lightning-caused deaths in Korea is about 5. Most lightning casualties involve people who work outdoors such as farmers and recreationists. Data on lightning-caused injuries to humans and damage to structures in this paper may be underestimated since the available data from mass media are incomplete. The actual lightning-caused casualties and damage in Korea may be greater than those presented in this paper.

• Journal of the Korea Institute of Building Construction
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• v.19 no.6
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• pp.567-575
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• 2019

Statistics show that while the number of fires has decreased over the last decade, losses of human life and economic property due to fire have increased. Moreover, the number of large-scale fires that have occurred in recent years has resulted in heightened public anxiety. This study aims to identify a specific period of the year most vulnerable to fire, and fire trends, such as damage of fire to humans, to the economy, and different building types. For this purpose, we analyzed human and economic damages using statistics related to fire from 2007 to 2017 and provided a monthly distribution of fire damages both to humans and to the economy by building type. We also identified the relationship between the human damage and the economy damage, and compared the economic losses per casualty by building type. The human damage in residential buildings occupied the highest portion, whereas the economic damage of industrial buildings represented more than a half of all economic damage due to fire. The economic damage per casualty was shown highest for industrial buildings and has also increased rapidly in recent years.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.267-274
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• 2017

The natural disasters such as typhoon, earthquake, flood, heavy rain, drought, sweltering heat, wind wave, tsunami and so on, are difficult to estimate the scale of damage and spot. Also, these disasters were being damaged to human life. However, if based on the disaster statistics the past damage cases are analyzed and the estimated damages can be calculated, the initial damage action can be taken immediately and based on the estimated damage scale the damage can be mitigated. In the present study, therefore, we proposed the functions of wind wave damage estimation for the southern coast. The functions are developed based on Disaster Report('91~'14) for wind wave and typhoon disaster statistics, regional characteristics and observed sea weather.

• Communications for Statistical Applications and Methods
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• v.12 no.2
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• pp.381-394
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• 2005

In order to estimate the damage of orchards due' to natural disasters such as typhoon, severe rain, freezing or frost, it is necessary to estimate the number of fruit bearing before and after the damage. To estimate the fruit bearing after the damages are easily done by delegations, but it cost too high to survey every insured farm household and calculate the fruit bearing before the damage. In this article, we suggest to use a random coefficient model to predict the numbers of fruit bearing in the orchards before the damage based on the tree age and the area information.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.11a
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• pp.754-759
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• 2007

This study exploits the data discriminating capability of silhouette statistics, which combines wavelet-based vertical energy threshold technique for the purpose of extracting damage-sensitive features and clustering signals of the same class. This threshold technique allows to first obtain a suitable subset of the extracted or modified features of our data, i.e., good predictor sets should contain features that are strongly correlated to the characteristics of the data without considering the classification method used, although each of these features should be as uncorrelated with each other as possible. The silhouette statistics have been used to assess the quality of clustering by measuring how well an object is assigned to its corresponding cluster. We use this concept for the discriminant power function used in this paper. The simulation results of damage detection in a truss structure show that the approach proposed in this study can be successfully applied for locating both open- and breathing-type damage even in the presence of a considerable amount of process and measurement noise.

• 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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.48-49
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• 2021

The purpose of evaluating the fire risk of a building is to predict damage or loss of life and property in unspecified circumstances and to minimize expected damage. The fire risk assessment for buildings in Korea analyzes fire risk according to performance-oriented design under the Enforcement Decree of the Fire Facilities Act and the Fire Causing Index under the Enforcement Decree of the Multi-Use Business Act. Fire risk analysis is mainly conducted by using fire statistics or analyzing the results of safety inspections of buildings. In the case of fire statistics, it is necessary to analyze the fire risk in consideration of the degree of fire damage in each number of fires, as all fires received by the fire department are collected. In addition, it is necessary to devise fire safety measures for buildings by predicting the number of casualties that may occur due to fires in each building. Accordingly, this study aims to analyze the characteristics of casualties by building use using the number of fires judged to have grown.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.573-584
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• 2021

The purpose of this study is to investigate the factors that affect the discrimination of low-income children among children in the community children's centers. The subjects of the survey were 6th grade elementary school students who were the third respondents of the second Child Panel Survey of the community children's center, among them, 355 children whose family economy level corresponds to basic living allowance, next level, and blind spot. SPSS Statistics 25.0 was used to analyze exploratory factors, reliability analysis, frequency analysis, descriptive statistics, correlation analysis, and multiple regression analysis. The results of this study showed that single parent family, parent social capital, parental abuse, and happiness had a significant effect on the discrimination damage of low-income children in community children's centers. The more one parent's family, the less the parent's role as a counterpart to the discussion, and the more the parental abuse, the higher the child's discrimination damage. In general, parents-related factors were affecting the discrimination damage of low-income children. Community children's centers and related institutions should focus on developing and implementing programs that can improve the quality of family relations of children.

• Journal of the Korean Statistical Society
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• v.28 no.2
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• pp.235-251
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• 1999

In this paper we examine extremal behavior of a $textsc{k}$th-order stationary Markov chain {X\ulcorner} by considering excesses over a high level which typically appear in clusters. Excesses over a high level within a cluster define a cluster damage, i.e., a normalized sum of all excesses within a cluster, and all excesses define a damage point process. Under some distributional assumptions for {X\ulcorner}, we prove convergence in distribution of the cluster damage and obtain a representation for the limiting cluster damage distribution which is well suited for simulation. We also derive formulas for the mean and the variance of the limiting cluster damage distribution. These results guarantee a compound Poisson limit for the damage point process, provided that it is strongly mixing.

• Journal of the Korean Institute of Gas
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• v.25 no.4
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• pp.1-9
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• 2021

The process and facilities of modern chemical plants are becoming increasingly complex, there is possibility of potential risk. Internal chemicals generate stress concentration when operated due to turbulence, laminar flow, pressure, temperature, friction, etc. It causes cumulative fatigue damage, which can damage or rupture chemical facilities and devices. The statistics of chemical accidents found that the highest rate of occurrence was in summer, and in the last five years statistics on chemical accidents, leakage incidents make up a decent percentage of accidents. Chemical leaks can cause serious human damage and economic damage, including explosions and environmental pollution. In this study, based on the leak accident of chemical plant, the risk analysis, and damage effects assessment were estimated using a 3D scanner and FLACS. As a result, if chemicals leak in summer, the risk is higher than in other seasons, the seasonal safety management measures, and countermeasure were estimated.