• KIISE Transactions on Computing Practices
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• v.22 no.9
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• pp.455-460
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• 2016

Recently, with more severe types felonies such as robbery and sexual violence, the importance of crime prediction and prevention is emphasized. For accurate and prompt crime prediction and prevention, both a classification model of crime with high accuracy based on past criminal records and well-designed system interface are required. However previous studies on the analysis of crime factors have limitations in terms of accuracy due to the difficulty of data preprocessing. In addition, existing crime monitoring systems merely offer a vast amount of crime analysis results, thereby they fail to provide users with functions for more effective monitoring. In this paper, we propose a classification model for types of crime based on random-forest algorithms and system design factors for real-time crime prediction. From our experiments, we proved that our proposed classification model is superior to others that only use criminal records in terms of accuracy. Through the analysis of existing crime monitoring systems, we also designed and developed a system for real-time crime monitoring.

• Korean Security Journal
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• no.13
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• pp.487-505
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• 2007

This study is to examine relations between the number of occurrence of big five critical crimes that consist of homicide, robbery, rape, theft, violence and the number of the security companies and the security guards, and between the number of the security companies, the security guards and the number of arrests from the big five critical crimes. To achieve this objective, this research selects a subject of study, the number of the security companies and security guards, and the number of occurrences of the big five critical crimes and arrests of the big five crimes from 1990 to 2005. The selected data are then analyzed according to the variables using SPSS 12.0. Each hypothesis is verified with the level of significance ${\alpha}$=.05 using the statistical techniques such as Correlation Analysis, Regression Analysis, etc. The following is the result of the study: First, the number of occurrences of the big five critical crimes affects the number of the security companies at a significant level. Second, the number of the security companies affects the number of arrests of the big five crime at a significant level.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.35-42
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• 2014

In Korea, all investigations of maritime crime such as murder, robbery, drug trafficking, and illegal fishing that have been committed at sea are under the jurisdiction of maritime police. As maritime crimes tend to have more unique cases, cause damage on a larger scale, and be limited to evidence that is possibly contaminated, compared to non-maritime crimes, the cases demand maritime police investigators with a higher level of expertise. However, there is currently a lack of competent investigators in the maritime police, leading to the training of maritime police investigators in training agencies. so many of maritime investigators goes to land police training agency including Korean Police Investigation Academy. Therefore, in order to improve the capabilities of maritime crime investigation we must first gather information and data in relation to maritime crimes to foster more investigation specialists, and establish specialized training agencies offering a training course more focused on maritime crimes.

• Journal of the Korean Association of Geographic Information Studies
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• v.12 no.1
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• pp.12-25
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• 2009

The aim of this study is to analyze the periodical and spatial characteristics of urban crime and to find out the factors that affect the crime occurrence. For these, crime data of Masan City was examined and crime occurrence pattern is ploted on a map using crime density and criminal hotspot analysis. The spatial relationship of crime occurrence and factors affecting crime were also investigated using ESDA (Exploratory Spatial Data Analysis) and SAR (Spatial Auto-Regression) model. As a result, it was found that crimes had strong tendency of happening during a certain period of time and with spatial contiguity. Spatial contiguity of crimes was made clear through the spatial autocorrelation analysis on 5 major crimes. Especially, robbery revealed the highest spatial autocorrelation. However as a autocorrelation model, Spatial Error Model(SEM) had statistically the highest goodness of fit. Moreover, the model proved that old age population ratio, property tax, wholesale-retail shop number, and retail & wholesale number were statistically significant that affect crime occurrence of 5 most major crimes and theft crime. However population density affected negatively on assault crime. Lastly, the findings of this study are expected to provide meaningful ideas to make our cities safer with U-City strategies and services.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.3
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• pp.71-77
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• 2014

People in the modern society want to live under safe and comfortable circumstances. As our society, however, is sharply developing, crimes are getting smarter and more difficult to treat. Above all, they often take place around us, and we are trying to cope with them variously in order to make our lives more comfortable and safer. In particular, five major crimes(Murde, Robber, Rape, Violence, Theft ) that most frequently occur in the real life are very threatening and fearful so it is necessary to deal with them with "the scientific method." In this study, therefore, we searched the frequency of crime by its type and analyzed spatial characteristics between crimes and criminal factors by using regression analysis and correlation analysis based on the crime data that has occurred around Geumjeng-gu, Busan so that we can confront five major crimes.

• Communications for Statistical Applications and Methods
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• v.17 no.3
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• pp.413-421
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• 2010

In this study, we considered bivariate conditional auto-regressive model taking into account spatial association as well as correlation between the two dependent variables, which are the counts of murder and burglary. We conducted likelihood ratio test for checking over-dispersion issues prior to applying spatial poisson models. For the real application, we used the annual counts of violent crimes at 25 districts of Seoul in 2007. The statistical results are visually illustrated by geographical information system.

• 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.

• Korean Security Journal
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• no.36
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• pp.227-253
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• 2013

The threat of crime became a global issue nowadays. Terrorism, organized crime, crime by nation can be mentioned as typical examples. The crimes in modern society can't be identified to happen when, where and how being different from those traditional crimes(murder, robbery, sexual abuse, arson). This was the result of changed security environment that needs to address wide range of crimes as being indicated sporadic characteristics of modern threat of crime such as terrorism threat targeting unidentified masses as well as the emergence of systemic phenomenon of organized crimes and crime committed by nation. In this regard, the case of 9.11 occurred in 2001 can be deemed as an example that made a dramatic turn around to the security environment. After the terrorism, it provided an opportunity to rethink not only USA but also to the institutions all over the world that deals with crime about gathering, management, utilization of crime intelligence. As a result of which there appeared a change in police activities more effectively in gathering & managing crime information and ILP is the very activity that emerged from the USA/UK countries. This aims police activities to minimize the threat of crime being the system reflecting a framework to manage more directly to control crime by gathering and processing information. In view of the global change of security environment as a common phenomenon, the need to direct to ILP has increased in Korea in line with such security environmental change. Accordingly, this study focused on the method of introduction of ILP and presentation of matters for discussion by reviewing ILP activities of the USA/UK countries.

• Korean Journal of Forensic Psychology
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• v.11 no.2
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• pp.173-190
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• 2020

The purpose of this study is to verify whether it is possible for participants to discriminate between innocent and guilty suspects when they are exposed to criminal information utilizing an autobiographical implicit association test (aIAT). A total of 49 college students were randomly assigned to guilty group, innocent-aware group, or innocent-unaware group. Participants performed an aIAT to detect suspects after performing either mock crime or control task. It was verified that innocent suspect and guilty suspect exposed with crime information could be distinguished through D-score and reaction time, converted to symbolize strength of the association between guilty sentences, innocent sentences, and truth sentences. As a result of the analysis, guilty group showed significantly higher D-score than both innocent-aware group and innocent-unaware group. guilty group also showed faster response time in true-guilty condition than true-innocent condition. This shows that the association of true-guilty conditions is stronger than that of true-innocent conditions. On the other hand, the innocent-aware group showed a faster response time in the true-innocent condition than the true-guilty condition, and innocent-unaware group showed no significant difference between the two conditions. Through this, it was confirmed that innocent suspects exposed to criminal information can be discriminated according to the aIAT pattern, which has a faster reaction rate to the truth and innocence union than the guilty group. This study confirmed that suspects exposed to criminal information can be effectively discriminated using aIAT, and further suggests the usefulness and potential of aIAT in the field of lie detection.

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.1
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• pp.31-37
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• 2015

The recent long-term economic recession and business depression are constantly increasing the occurence of the five major crimes(murder, robbery, rape, theft, violence). When looking into the previously-analyzed characteristics of how the five major crimes are committed, this study understands that the crimes mostly occur in these crime-ridden areas of poor public order and security and, in order to decrease the crime rates of the crime-prone areas, any relevant fields have been emphasizing the application of CPTED. In the light of that, referring to CPTED surveillance factors and the current crime rate data, the study presented ways to help the relevant fields draw up a crime-prone area grade map. In particular, the security center among monitoring elements was visualized by dividing it into point patrol and directed patrol and by dividing it into 3 steps monitoring levels with CCTV and street lights. In addition, we checked the crime rate by zoning through crime statistics occurred in the research areas and established a crime status map. We estimated the weight through AHP analysis on the built monitoring elements and the zoning of the occurred areas, as a result of making a map vulnerable to crime by monitoring steps by overlapping each element, we were able to confirm that 60% of theft, 52% of violence and 33% of rape in the 1st grade area were reduced compared to the 1st step in monitoring Step 3.