• Journal of Families and Better Life
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• v.17 no.3
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• pp.187-202
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• 1999

The purpose of this study was to investigate males' and females 'experiences of violence and to determine what variables served as predicting indicators among unmarried college students. The major findings were as follows; 1. Those who sustained psychological agression were 61% physical violence 43% and sexual violence 22% As the sample indicates victimization of dating violence among college students is a common phenomenon.2. More males sustained the severe from of physical violence and the sexual violence than females did while both sexes reciprocally sustained psychological aggression. 3. For males significant predictors of sustaining dating violence were conflicts inthe dating relationship and witness of interparental aggression while for females conflicts in the dating relationship a need to control one's partner and school violence served as significant predictors.

• Journal of Families and Better Life
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• v.28 no.6
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• pp.221-234
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• 2010

This study reviews domestic violence characteristics, violence factors, and violence solving from survey reports, to find ideas that support shelter or counseling centers. The research method is a literal review and interview. The results were as follows : First, immigrant women experienced emotional, physical, sexual and economic violence. Domestic violence factors were individual characteristics of korea husbands, culture gaps, communication problems and attitudes of mother-in-laws. Second, coping attitudes for immigrant women were passiveness and overt patience of violence situations. Third, professional social workers or counselors were lacking. There was no network link between related service agencies; in addition. Service content was limited, was a lack support for independence.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.609-612
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• 2008

Since most of the industries have adopted automation system, the industrial disaster has been declined sharply. Also automation system has offered many benefits such as productivity and assured quality. However, the construction industry is still relying on man power and because of this there are many victims occurring due to the industrial disaster. Construction industry has to overcome uncertainty of incidents and changing natural surroundings to actualize automation. Therefore, the efficient working plan and intelligent decision making process are needed to run more developed techniques and automations. Specially to decline the rate of industrial accidents occurred in basic construction in earth work, the automation via excavator is necessary and also the development of planning process system is too. This research is to establish Task Planning System to prevent disaster which is used for planning automated earth work.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.505-508
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• 2008

When it grasps a total property losses and relationship of damage factors, there is possibility of reducing the natural disaster damage which is a yearly repeated. Also, checking and supply to vulnerability should be presupposed. This study aims to find out a damage factor vulnerability using a natural disaster database by Park et al(2007). And added 2005 year data to database. Total 10 damage factors are deaths(person, including missing person) injury(person), victims(person), building(thousand), vessel(thousand), cultivated land(thousand), public facilities(thousand), others(thousand), total property losses(thousand). We analyzed of correlation analysis, ratio, population, area, regional character etc for damage factors.

• Journal of the Korean Society of Safety
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• v.26 no.3
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• pp.47-51
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• 2011

Work platform is temporary material that many workers use in construction field, but many workers construct and use the work platform without considering safety standards, workers who have not the knowledge of safety standards construct the work platform in weakness and use the work platform in unstable, According to the statistics in 2009, 1230 people were injured at the work platform. Among them, victims by falling account for about 77% and mostly lead to fatal injuries. we have studied and survey about the safety or danger of the work platform(set limits to duble scaffold) in construction field and about how many workers observe safety standards of the work platform. According to the result of this survey, 24%~100%(average : 68%) of the work platform in survey is not observe the safety standards.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.600-602
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• 2003

In Korea, fire is the second frequent disaster. A total of 32,966 fires were happened in 2002, and injured 2,235 people and damaged 12 million dollars. So, we developed several components related to fire in order to decrease these victims and the amount of damage and have applied those components to Daegu Fire Agency. In this paper, we describe the developing system. It consists of 5 major components: mobile fire facility management component, web service component, fire management component, fire server, and fire application. They were developed in object-oriented computing environment, ATL/COM and Visual C++. So, they have some advantages such as high reusability, full interoperability, and easy understanding.

• Proceedings of the Korean Society of Food Hygiene and Safety Conference
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• 1997.10a
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• pp.13-19
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• 1997

Foodborne diseases are serious problems throughout the world, because new pathogens have emerged. Nowadays many students eat school lunch provided by school lunch provided by school lunch program. They are threatened by pathogens transmitted by foods. many school children became victims of foodborne diseases. Most foodborne outbreaks were caused by mishandling foods at food service establishments. Food safety practices of school lunch programs in foreign countries were reviewed. Temperature control is the most critical part of keeping the foods safe. In order to prevent foodbrorne diseases in schools, the managers in charge of school lunch program and officials in charge of food safety of local health department try to make sure that foods are out of danger zone of temperature. Prevention of cross contamination, and sanitization of raw foods and utensils are also emphasized by school lunch program managers and health officials.

• Fire Science and Engineering
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• v.19 no.4 s.60
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• pp.7-17
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• 2005

On this paper, the actual conditions of home accidents by investigating rescue and emergency reports at fire stations in Gwangju Metropolitan city and annual report on the cause of death statistics in the National Statistical Office were analyzed, and actual conditions about home accidents in developed countries were studied. As a result, the following matters were confirmed: 1) Infants and older adults are the main victims of home accidents, especially the older adults. 2) The more older adults we have in our society, the more deaths caused by home accidents take place. 3) We must study the home accident of our society in the level of developed countries. And we must have the prevention policy about the home accidents.

• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.95-104
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• 2017

Among the industrial disasters caused by drop, ladder related drop disasters are occurred the mostly. The victims are occurred continuously. This study analyzed current situation of industrial disasters for recent 10 years(2005~2014) and compared analyzed statistics of death disasters of ladder by workplace scale, age, occupation, employment type, working content, scarred area, etc. in detail. This study suggested direction of safety standard modification for ladder that is an original cause material of many drops, direction of safety training strengthening of small-scaled workplace, and safety model based on disaster statistics and should contribute to reduction of disaster rate for ladder working.

• Journal of the Korea Society of Computer and Information
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• v.24 no.3
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• pp.87-93
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• 2019

In this paper, we propose a real-time drone-based violent protest detection system. Our proposed system uses drones to detect scenes of violent protest in real-time. The important problem is that the victims and violent actions have to be manually searched in videos when the evidence has been collected. Firstly, we focused to solve the limitations of existing collecting evidence devices by using drone to collect evidence live and upload in AWS(Amazon Web Service)[1]. Secondly, we built a Deep Learning based violence detection model from the videos using Yolov3 Feature Pyramid Network for human activity recognition, in order to detect three types of violent action. The built model classifies people with possession of gun, swinging pipe, and violent activity with the accuracy of 92, 91 and 80.5% respectively. This system is expected to significantly save time and human resource of the existing collecting evidence.