• Korean Security Journal
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• no.22
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• pp.231-258
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• 2010

A study apartment house inhabitants of to, crime prevention effort is done satisfaction analysis and that deduce design plan of CPTED that can overcome safe life space embodiment and criminal fear from crime in Juminin viewpoint through atomize group's interaction by background fantast. Is positive because factor analysis wave and satisfaction index of deduce universe (Total group) 8 factor are presented more than all 0, and quite was expose by level that is worth accommodating. Satisfaction index of The secondary design group (Group1) 8 factor is positive because is presented more than all 0, and mechanical access control, mechanical surveillance is level that is worth accommodating quite, and level that is proper in remainder 6 dimension appear. Can know that 1 The secondary design group(Group2) is expose by level that satisfaction characteristic of 8 factor can be presented more than all 0 and appeared positively, and accommodate quite in all dimensions. Result that analyze Two-way ANOVA satisfaction difference of environment design of group by satisfaction of the primary and the secondary design group is high in 8 all dimensions of CPTED, and satisfaction by appeared satisfaction high in group less than natural access control, 2 years of natural surveillance, and reciprocal action effect that go with group is high satisfaction in 2 years low in The secondary design group more than the primary and the secondary design group of systematic access control and natural access control, and the primary and the secondary design group appeared high in subgroup of 2 remainders. Satisfaction difference by group by crime prevention effort satisfaction of the primary and the secondary design group is high in 8 all dimensions of CPTED, and satisfaction difference by crime prevention effort appeared satisfaction high in 'A prize' group to The secondary design group, and reciprocal action efficiency is high in 'A prize' group in The secondary design group more than the primary and the secondary design group in mechanical access control, systematic access control, natural access control, territoriality reinforcement, and satisfaction of 'Between' and 'Very' group appeared high in the primary and the secondary design group.

• Korean Security Journal
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• no.50
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• pp.209-237
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• 2017

Theories on 'opportunity for crime' have utilized CCTV in crime prevention approach, and empirical studies showing crime prevention effects of CCTV have supported expansion of CCTV installation. Particularly, in Korea, the number of CCTV installation had tripled from 2011 to 2015, and governmental policies regarding CCTV have become one of the mainstream social control strategies. Although a couple of empirical studies showed decrease in crime rate due to CCTV installation, there is no study investigating B/C analysis(Benefit vs. cost analysis) of CCTV installation. B/C analysis results will be beneficial for official decision-making of criminal justice policy, and this study is purported to produce such fundamental evidence for policy making procedure. To fulfill this goal, this study collected data on financial information, crime data between 2011 and 2015 across the nation from 232 governmental district offices and the Korean National Police. This study then conducted two different B/C analyses(simple B/C analysis, regression-based B/C analysis). The simple B/C analysis results showed that 1) total costs for CCTV installation in 2014 was 68,626,000,000 won(approximately, US$57,188,333.00, money exchange rate 1200won=US$1), 2) benefits of crime reduction was 90,888,000,000 won(appx. US$75,740,000), and 3) B/C rate was 1.32. The regression-based B/C analysis results showed that 1) B/C rate was 1.52 when only reduced costs of criminal justice processes for crime employed, and 2) B/C rate was 3.62 when overall social costs including reduced costs of criminal justice processes and social benefits, e.g., reduction in costs for managing fear of crime, due to the crime reduction. Based on the results, this study provided policy implications.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.445-447
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• 2008

The CCTV systems is the most extensively used for a burglar proof, a crime prevention and a Prevention forest fires etc. The CCTV systems which is used in present is a PAN/TILT form. We want to control of CCTV systems motion by Up/Down, Left/Right, Zoom In/Out, Focus, TELE. We design a 8051 microcontroller board and a Key Controller and a Relay Controller. We conformed its feasibility through the simulation.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.4
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• pp.64-80
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• 2018

In Korea, citizens can only know general information about crime. Thus it is difficult to know how much they are exposed to crime. If the police can predict the crime risky area, it will be possible to cope with the crime efficiently even though insufficient police and enforcement resources. However, there is no prediction system in Korea and the related researches are very much poor. From these backgrounds, the final goal of this study is to develop an automated crime prediction system. However, for the first step, we build a big data set which consists of local real crime information and urban physical or non-physical data. Then, we developed a crime prediction model through machine learning method. Finally, we assumed several possible scenarios and calculated the probability of crime and visualized the results in a map so as to increase the people's understanding. Among the factors affecting the crime occurrence revealed in previous and case studies, data was processed in the form of a big data for machine learning: real crime information, weather information (temperature, rainfall, wind speed, humidity, sunshine, insolation, snowfall, cloud cover) and local information (average building coverage, average floor area ratio, average building height, number of buildings, average appraised land value, average area of residential building, average number of ground floor). Among the supervised machine learning algorithms, the decision tree model, the random forest model, and the SVM model, which are known to be powerful and accurate in various fields were utilized to construct crime prevention model. As a result, decision tree model with the lowest RMSE was selected as an optimal prediction model. Based on this model, several scenarios were set for theft and violence cases which are the most frequent in the case city J, and the probability of crime was estimated by $250{\times}250m$ grid. As a result, we could find that the high crime risky area is occurring in three patterns in case city J. The probability of crime was divided into three classes and visualized in map by $250{\times}250m$ grid. Finally, we could develop a crime prediction model using machine learning algorithm and visualized the crime risky areas in a map which can recalculate the model and visualize the result simultaneously as time and urban conditions change.

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.353-354
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• 2014

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.3
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• pp.83-90
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• 2010

In modern society, there has been an increase in needs to protect the life and property of the people, because the number of various crimes is on the increase due to the sudden and complicated changes of the urban environment. For the needs, security persons in the urban area are expanding the role and skill of police for more effective crime prevention and surveillance, although the number of policeman/woman is insufficient and their tasks are hard. Recently, a system to observe and prevent crime in effective has been introduced by using such an artificial surveillance device as CCTV to monitor focusing on one area for 24 hours. However, the system brings such problems as the insufficiency of systematic criteria to install surveillance device and the invasion of privacy. Therefore, in this study, artificial surveillance zones to monitor crimes are selected by applying spatial features between artificial surveillance devices including CCTV and crime occurrence place, and using GIS spatial analysis techniques. As a result of selecting, it's found that the number of CCTV is absolutely insufficient and spatial distribution is not fully considered in the existing location of installed CCTV.

• KIEAE Journal
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• v.16 no.3
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• pp.47-55
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• 2016

Purpose: This study was aimed at providing the basic checklist as a means to assess the crime risk in physical environment of the pedestrian passage at residential area. Method: For this purpose, the preliminary checklists were selected according to the review of the precedent studies of checklists in exterior pedestrian passage. The usefulness and the importance of the preliminary checklists were analyzed through the seven expert group meetings, the 87 questionnaires survey of the crime experts & the architectural/urban experts, preliminary assessment and field survey. Results: The assessment categories of checklists were sorted into six types, i.e. spatial structure & function, lighting, landscaping, security facilities, other facilities and cleaning & maintenance. The 49 checklists were proposed according to the assessment categories. The final checklists were divided key checklists and general checklists based on the results of experts' weighting of each list item. There were significant differences between crime experts' weighting and architectural/urban experts' weighting in several checklists, i.e. dividing between pavements and streets, the brightness of light, white light.

• The Journal of the Korea Contents Association
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• v.12 no.7
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• pp.156-168
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• 2012

As the increase of violent crimes such as robbery, murder, and rape has become a social problem, the government is considering institutionalizing the identification of criminals to prevent crime and to guarantee people's right to know. Such an atmosphere led to the approval of the revision of 'Special Law On the Punishment of Specific violent Crimes' in the National Assembly in April 2010. The revision allows the revelation of the profiles of crime suspects including the pictures of their faces at the investigation stage. However, whether the revision had been effective in preventing crime has not been demonstrated empirically. Moreover, identity revelation is a grave intrusion into privacy and an abuse of human rights such as personal rights and the right to a fair trial, since personal information of criminal suspects would be released to the media prior to the court's final judgements. Also it violates the principle of presumption of innocence, the principles of due process, the principle of double jeopardy, the principle of prohibition against excessive, the principles of clarity, and the principle of liability.

• Convergence Security Journal
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• v.11 no.2
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• pp.25-33
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• 2011

Quantitative rise and qualitative seriousness in crime have limitation to preventing crime just with public police security. Ultimately, in order for private security guard to fulfill the duty of preventing crime, its members' excellent quality and ability need to be preceded. This change in the environment of crime prevention came to demand professionalism in the security field. Furthermore, it became an opportunity of being emerged the necessity of specialist qualification. For this, first, there is a need of reinforcing the public confidence of the security guard association, and of vitalizing a certificate of qualification. Second, qualification functions as linking education and labor market. Thus, many qualification acquisitors need to strengthen direction that the security guard company can reflect and utilize this. Third, there is a need of positively supplementing the result of utilizing qualification or the insufficient management system so that the private security guard qualification system can be recognized as the qualification system of being authorized by the country.

• Journal of the Society of Disaster Information
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• v.19 no.4
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• pp.908-915
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• 2023

Purpose: The purpose of this study is to examine the types of fraudulent crimes among various crimes taking place during NFT transactions, and to approach institutional problems caused by crime types analysis and crackdown methods and legal limitations. Method: IIn order to classify the types of fraudulent crimes that appear in NFT transactions, the crime types were analyzed through the results of previous studies and cases of current incidents. Result: Most of the crimes that are taking place through NFTs are various types of fraudulent crimes such as rug pools, thefts, personal information theft fraud, and pig murder. Therefore, these types were classified and various damage cases were also analyzed. It is a matter of copyright. Conclusion: Currently, the financial problems caused by the occurrence of fraudulent crimes in NFTs worldwide are the most worrisome, and the scale will be even greater as the market grows in the future. Therefore, in Korea, various institutional supplements and policies should be prepared through analysis of crime types that can affect crime prevention and investigation and arrest activities.