• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.5
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• pp.195-205
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• 2020

Recently, after the 4th industrial revolution era has arrived, technological advances started to develop and these changes have led to widespread use of data. Big data is often used for the safety of citizens, including the administration, safety and security of the country. In order to enhance the efficiency of maintaining such security, it is necessary to understand the installation status of CCTVs. By comparing the installation rate of CCTVs and crime rate in the area, we should analyze and improve the status of CCTV installation status, and crime rate in each area in order to increase the efficiency of security. Therefore, in this paper, big data analytic system based on public data is developed to collect data related to crime rate such as CCTV, female population, entertainment center, etc. and to reduce crime rate through efficient management and installation of CCTV.

• The Korean Journal of Air & Space Law and Policy
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• v.25 no.1
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• pp.27-54
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• 2010

Soon after September 11 attacks in 2001, there were strong demands in Korea on making relevant laws and regulations on aviation security, and Korean parliament legislated "Aviation Safety and Security Act"to fulfill the demands on safety and security of aircrafts during aviation. However, the current Aviation Safety and Security Act seems to have many problems which do not meet the practical needs in Korea, because there were not enough considerations on the practical needs and extinguishable national circumstances on civil aviation system in Korea, but only regarded the relevant international conventions and foreign practices on it. In this context, it is necessary to amend several provisions in Aviation Safety and Security Act to enhance more practical efficiencies in its implementation through systematization of the provisions on crimes which may happen during aviation. In this context, this article argues two main issues. First, Article 39 of Aviation Safety and Security Act does not express whether it is possible to punish the attempt of crime of causing damage to aircraft. Therefore, regarding a principle of legality, it is impossible to punish the perpetrator even when coincidently failed to destruct or damage aircraft. In this context, this article argues that the necessity to introduce the possibility to punish the attempt of crime of causing damage to aircraft. Second, regarding Article 160 of Civil Aviation Act of Korea, current Aviation Safety and Security Act should be amended by guaranteeing the culpability of negligence of crime of causing damage to aircraft.

• Journal of the Korean housing association
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• v.22 no.6
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• pp.71-82
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• 2011

Recently the crime against elementary school students has been rapidly increasing. Under these circumstances, this study is to analyze the basic principles of Crime Prevention Through Environmental Design (CPTED) for the elementary school in urban residential area, and suggest some planning and design guidelines. Among 59 elementary schools in Pyongchon, Bundang, and Pangyo new towns, 11 distinctive schools were selected for analysis study. School cases were investigated comparatively from the viewpoints of visibility, securing of observers, activity support and reinforced territoriality on the basis of theoretical crime prevention concepts. The analysis adopts various methods including theoretical research, field study, observation, and examination of plan. Some of findings of this analysis are as follows. Most of schools rely on the mechanical and physical devices such as CCTV, gate control, or walls, which are considered to be quite passive measures and ineffective for the crime prevention. Other effective methods such as offering school facilities to the public or public space sharing with surrounding residents, for the protection of crimevulnerable students by public eyes. Therefore, in order to prevent crimes effectively, it is urgently required to analyze the environments around and in the school, and to improve physical conditions on the basis of CPTED principles.

• Journal of the Korean housing association
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• v.27 no.3
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• pp.39-46
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• 2016

On account of the increasing crime rates annually and the consequent rising anxiety, safety has become an important topic in the aspect of environmental formation to provide decent lives to urban dwellers. As a result, great emphasis has been placed in the importance of Crime Prevention through Environmental Design (CPTED), a design method which utilizes physical environmental design to prevent crime. The definition of CPTED encompasses the technological level of crime prevention as well as comprehensive environmental design which takes into consideration fear or terror in view of human recognition and emotion. However, the current application method of CPTED in Korea is still limited to the technical supplementation of facilities, such as CCTV and streetlight, and fragmental modification like village mural paintings. Moreover, the guideline for CPTED in Korea is only a theoretical adaptation of foreign books and does not offer sufficient studies for a practical design method that will improve the life of city dwellers. The purpose of this study is to examine design methods for safe environment construction in accordance with the changing concept of CPTED by understanding the characteristic of space and analyzing the how the methods of light are expressed. This study aims to provide basic material which will serve as a guideline in creating a safe environment in the future.

• Journal of the Korean Institute of Educational Facilities
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• v.18 no.4
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• pp.45-56
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• 2011

The purpose of this study is to suggest the application method of CPTED for safer schools. For the evaluation of the school safety, we invented the school survey checklist based on the principles of CPTED such as natural surveillance, access control, maintenance, and activity support. The checklist is consisted of three parts of schools including boundary, outside of the building, and inside of the building. For the field survey of schools, the 30 schools(elementary, middle, and high school) were selected in Seoul and Kyong-gi area as the crime rate. The result of this study shows the safety score for the most of schools were not satisfied. In addition, we realized the diverse strategies to enhance the school safety should be applied to schools in terms of CPTED. The detailed findings and policy implications will be discussed in the context.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.1
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• pp.169-174
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• 2018

There are many CCTV cameras connected to the video surveillance and monitoring center for the safety of citizens, and it is difficult for a few monitoring agents to monitor many channels of videos. In this paper, we propose an intelligent video surveillance system utilizing a safety map to efficiently monitor many channels of CCTV camera videos. The safety map establishes the frequency of crime occurrence as a database, expresses the degree of crime risk and makes it possible for agents of the video surveillance center to pay attention when a woman enters the crime risk area. The proposed gender classification method is processed in the order of pedestrian detection, tracking and classification with deep training. The pedestrian detection and tracking uses Adaboost algorithm and probabilistic data association filter, respectively. In order to classify the gender of the pedestrian, relatively simple AlexNet is applied to determine gender. Experimental results show that the proposed gender classification method is more effective than the conventional algorithm. In addition, the results of implementation of intelligent video security system combined with safety map are introduced.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.145-150
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• 2015

Needs about safety of residents are important in urbanized society, elderly and small-size family. People are looking for safety information system and device of CPTED. That is, Needs and Installations of CCTV increased steadily. But, scientific analysis about validity, systematic plan and location of security CCTV is nonexistent. It is simply put these devised in more demanded areas. It has limits to look for safety of residents by increasing density of CCTVs. One of the characteristics of crime is clustering and stong interconnectivity. So, exploratory spatial data of crime is geo-coded using 2 years data and carried out cluster analysis and space statistical analysis through GIS space analysis by dividing 18 variables into social economy, urban space, crime prevention facility and crime occurrence index. The result of analysis shows cluster of 5 major crimes, theft, violence and sexual violence by Nearest Neighbor distance analysis and Ripley's K function. It also shows strong crime interconnectivity through criminal correlation analysis. In case of finding criminal cluster, you can find criminal hotspot. So, in this study I found concept of hotspot and considered technique about selection of hotspot. And then, selected hotspot about 5 major crimes, theft, violence and sexual violence through Nearest Neighbor Hierarchical Spatial Clustering.

• 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.

• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1282-1290
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• 2017

Since the mitigation of fear of crime significantly enhances the consumptions in a city, studies focusing on urban safety analysis have received much attention as means of revitalizing the local economy. In addition, with the development of computer vision and machine learning technologies, efficient and automated analysis methods have been developed. Previous studies have used global features to predict the safety of cities, yet this method has limited ability in accurately predicting abstract information such as safety assessments. Therefore we used a Convolutional Context Neural Network (CCNN) that considered "context" as a decision criterion to accurately predict safety of cities. CCNN model is constructed by combining a stacked auto encoder with a fully connected network to find the context and use it in the CNN model to predict the score. We analyzed the RMSE and correlation of SVR, Alexnet, and Sharing models to compare with the performance of CCNN model. Our results indicate that our model has much better RMSE and Pearson/Spearman correlation coefficient.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.157-163
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• 2021

This study attempted to find individual reasons for inducing cybercrime. The survey was conducted targeting investigators and security experts on 11 types of cybercrime. There are 16 internal factors that cause crime and classified according to Maslow's 5 steps. As a result of the survey on a total of 176 items, the credibility of the Cronbach's Alpha coefficient was 0.925. The result of the factor analysis is as follows. Factor analysis results are maslow phase 1 physiological desire is commercial, sykes. Phase 2 safety desires are not punishable and crowd. The three-stage social desire is impulsiveness, indifference, etc. The fourth stage of respect is anonymity and honor. The desire for self-reality in stage 5 has been reduced to indesity, a loss of moderation, morality, and media effects. In conclusion, the physiological desire, the desire for respect for the crime of infringing on the information and communication network, the desire for menstruation, the desire for self-realization for the crime of using information and communication networks, the desire for self-actualization for the crime of illegal content. It was in the order of desire.