• Korea journal of population studies
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• v.24 no.2
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• pp.149-177
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• 2001

This is a study on age-crime curve in Korea. Three data was used in this study as following: First is the crime statistics as aggregated data. Second is the police record(N=3.541 offences) of the male ex-offenders(N=988) who have been released in eleven prisons in 1987 as individual data. Third is the self-reported group-interview data(N=10.198 offences) administered to the male prisoners(N=979) in ten correctional facilities including eight adult prisons, one juvenile prison and one juvenile training center as another individual data. Generally, the right-skewness of age-crime curve has been explained through the difference of crime rate between early starters and late starters. Moffitt explains that this is because of the higher participation rate of the juvenile period of adolescence-limited offenders, but Godttfredson and Hirschi explain that this is because of a similar distribution in the crime rate of both early starters and late starters. the analysis of this study shows that Godttfredson and Hirschi’s explanation on the generality of age-crime-curve distribution is correct, but this can be modified by various factors like a economic crisis. And the peak age of juvenile period is consistent with the Moffitt’s hypothesis that the peak age is contributed to the increase of crime rate of late starters, not with Godttfredson and Hirschi’s one.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.1
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• pp.49-56
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• 2019

Urban green spaces have been contributing to the improvement of environmental, mental, and physical health for humans. In addition, recent studies showed the potential role of vegetation in reducing the amount of crime in inner-city neighborhoods at the micro-scale level. However, little is known about the positive role of urban green areas in improving urban safety at the regional level. The purpose of this study is to examine the relationship between urban green areas and actual outdoor crime rates, while also considering socio-demographic factors. The study area is the city of Austin, Texas, USA, which consists of 506 block groups. This study utilized socio-demographic factors based on U.S. Census data and vegetation-related factors utilizing GIS and ENVI software. For analyses, the analysis of variance (ANOVA) and an ordinary least square (OLS) regression were utilized. The results from ANOVA showed that yearly crime rates per acre for areas having 0%~25% trees in their neighborhoods were 0.46% and 1.05% higher than those of having 25%~50% and >50% trees in the neighborhoods, respectively. The results from the OLS regression represented that income, NDVI and park rates in neighborhoods were negatively associated with the crime rate per acre, whereas the percentage of minorities and the percentage of teenage school dropouts were positively associated with the crime rate per acre. This study implies that urban green areas may help to improve the safety of urban areas.

• Korean Security Journal
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• no.22
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• pp.15-35
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• 2010

A larceny means stealing others' properties, as one of crime types most closely connected with common people. Along with fraud, it is the mostly common property crime; in particular, the largest number of people are exposed to a burglary. This study aims to find the schemes to utilize private guards according to the characteristics of burglary. To do so, a questionnaire survey was conducted into an actual condition of official statistics of burglary and into the criminals of burglary, with a view to understanding the behavioral characteristics of burglary and suggesting defense mechanisms to prevent the crime. Burglary is not just a major crime to be dealt with by public guards like the police but also one to be handled increasingly more by private guards. It is why this study intends to identify how to utilize private guards in preventing the crime. Investigations were made into 208 burglars, who were inmates of 10 correctional institutions (prisons or detention houses) across the country. It is found that only about 24% of burglars committed the crime through rational choice, about 60.7% were feared of their arrest at the time of their crime, and a very high percentage (69.9%) of them were assured of their successful crime. Burglaries usually happened at night, mostly in a summer day when everybody goes away from home for vacation. Primarily, the crimes took place in a private house of urban residential quarters. What burglars considered mostly for target selection includes 'profitability,' followed by 'surveillance' and 'risk.' Most (42%) of them committed the crime for the first time ever. Generally, they were not inclined to commit the crime while under the influence of alcohol or drug, which might prevent them from making reasonable decisions. 73.9% of the criminals said that they committed the crime singly without any accomplices.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.4
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• pp.849-861
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• 2015

As the rise in popularity of online games, the users start exchanging rare items for real money. As RMT (Real Money Trade) is prevalent, GFG (Gold Farming Group) who abuse RMT shows up. GFG causes social problems such as identity theft, privacy leaks. Because they needs many bot characters to gather game items. In addition, GFG induce RMT that makes in-game problems such as a destroying game economy, account hacking. Therefore, It is very important work to collapse GFG at the perspective of social and in-game. In this paper, we proposed a fundamental method for detecting RMT buyers for the collapse of GFG at the perspective of buyer by Law of Demand and Supply. We found two type of RMT by analyzing actual game data and detected RMT buyers with high recall ratio of 98% by ruled-based detection.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.127-132
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• 2019

Exercising and stretching are essential for the growth of children, but recently, children's outdoor activities are limited due to social risks such as fine dust and child crime. It has increased the need for children's programs that can be safely and easily followed indoors. In this paper, we developed a system to induce and manage children's voluntary stretching to support growth. The system developed in this paper recognizes the child's stretching motions in real-time using Kinect to evaluate the match rate with the standard motions. The system gives users the results with a calendar and check stamp to provide voluntary motivation for the child and to provide parents with systematic management of the child's progress.