• 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.

• Journal of Korean Institute of Fire Investigation
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• v.8 no.1
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• pp.25-39
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• 2006

Recently the arson crime is increased remarkably in comparison with different violent crimes and the pace of increase is very quick. But Social interest about the crime is still slight, it is a fact that the scientific and professional approaches about the crime is insufficient. This problem causes lower arrest rate of the arson crime than the other crime. So, we need to infer the behavior of a arsonist at the crime scene and analyze the profile and psychological state of the suspect from unique point at the crime scene scientifically and professionally. After arresting the arsonist, we interviewed him and compared a product of interview with our analysis previous to arrest.

• Anxiety and mood
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• v.14 no.2
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• pp.112-119
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• 2018

Objective : This study aims to identify personality characteristics in female homicide offenders by using the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) test. Methods : This study retrospectively analyzed the mental appraisals and MMPI-2 scores of 54 women charged with homicide and 67 women charged with non-violent crimes, who were referred to National Forensic Hospital in Gongju city for psychiatric evaluation between January 2012 and March 2016. Results : Women charged with homicide scored significantly higher on Hs (p=0.018), D (p<0.001), Hy (p=0.002) and Pt (p=0.004) than the women charged with non-violent crimes. The women charged with homicide may have developed the following characteristics: hypochondriasis, depression, hysteria and psychasthenia. In multiple regression analyses, a final regression model including age of crime onset and depression was significant, explaining 16.5% of the variance in homicides committed by females. Conclusion : These findings suggest that personality characteristics in the female homicide offenders might be different compared to the non-violent crime offenders.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.61-72
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• 2020

The fear of crime, discussed in the early 1960s in the United States, is a psychological response, such as anxiety or concern about crime, the potential victim of a crime. These anxiety factors lead to the burden of the individual in securing the psychological stability and indirect costs of the crime against the society. Fear of crime is not a good thing, and it is a part that needs to be adjusted so that it cannot be exaggerated and distorted by the policy together with the crime coping and resolution. This is because fear of crime has as much harm as damage caused by criminal act. Eric Pawson has argued that the popular impression of violent crime is not formed because of media reports, but by official statistics. Therefore, the police should watch and analyze news related to fear of crime to reduce the social cost of fear of crime and prepare a preemptive response policy before the people have 'fear of crime'. In this paper, we propose a deep - based news classification system that helps police cope with crimes related to crimes reported in the media efficiently and quickly and precisely. The goal is to establish a system that can quickly identify changes in security issues that are rapidly increasing by categorizing news related to crime among news articles. To construct the system, crime data was learned so that news could be classified according to the type of crime. Deep learning was applied by using Google tensor flow. In the future, it is necessary to continue research on the importance of keyword according to early detection of issues that are rapidly increasing by crime type and the power of the press, and it is also necessary to constantly supplement crime related corpus.

• Journal of Cadastre & Land InformatiX
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• v.44 no.1
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• pp.139-150
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• 2014

Recently the violent crimes is the emerging social issue and the crime prevention is important policy both for maintenance of public order and the national welfare. To prevent these crimes with the geospatial data, we study the geospatial crime DB features, analytical method and linking method of current National Police Agency's crime system data. In this study, the Geospatial Information Open Platform(Vworld) was used to map the test site crime DB on the thematic map. We also researched the mesh-up thematic map and optimal location model of petrol car and CCTV.

• The Korean Journal of Emergency Medical Services
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• v.23 no.1
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• pp.35-48
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• 2019

Purpose: This study aimed to explore the rationality for and countermeasures against the use of prehospital patient restraint (PPR) techniques in efforts to limit violent behavior toward 119 emergency medical technicians (EMTs). Methods: Previous countermeasures to limit violent behavior toward 119 EMTs and medical personnel were focused on strict reactive and passive proactive responses. However, those in support of the countermeasures do not believe that violent and criminal behavior can be limited or extinguished by strengthening the punishment unconditionally. Results: When it comes to the far-reaching effects of stigmatization on people who engage in violent and criminal behavior, it is possible that unconditional punishment leads to more crime, increases the costs of imprisonment, and consequently, adds to the financial burden of the government. Conclusion: Thus, we are faced with an urgent need to prepare legal grounds for the use of PPR techniques by 119 EMTs for agitated or combative patients only, with direct medical oversight. Moreover, the legal foundation for the use of PPR techniques also needs to be established for emergency medical personnel. The use of PPR techniques not only ensures the safety of emergency medical services personnel, but also protects patients from injuring themselves and others.

• Electronics and Telecommunications Trends
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• v.35 no.2
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• pp.17-27
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• 2020

Predicting where and when a crime may occur in an area of interest is one of many strategies of predictive policing. Multidimensional analysis, including CCTV, can overcome the limitations of hotspot prediction, especially of violent crimes. In order to identify the precursors of a crime, it is necessary to analyze dynamic data such as attributes and activities of people, social information, environmental information, traffic flows, and weather. These parameters can be recognized by CCTV. In addition, it provides accurate analysis of the circumstances of a crime in a dynamic situation, calculates the risk, and predicts the probability of a crime occurring in the near future. Additionally, it provides ways to gather historical criminal datasets, including sensitive personal information.

• Journal of the Korea Society of Computer and Information
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• v.17 no.3
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• pp.95-103
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• 2012

Modern society is experiencing a variety of crimes, and to prevent crime is being studied. Existing studies related to the crime of crimes that occur on spatial analysis and geographic information, or to analyze the type of criminal offense of studies have been conducted, However the existing studies of the geographical and psychological crime that occurs throughout the study area and by analyzing the motives for the crime prevention research is the most. In this paper, we introduce Markov processor model for predicting the crime is present. Of several crimes, murder, government official crimes, the incidence of violent crime has occurred over time by using the predicted incidence of crime. Presented in this paper, predictive modeling is used in a crime occurred in the average duration of the overall average number of crimes that occurred in the one-year average, which recently labeled as the average prediction was compared to if you can increase the likelihood, recent average to apply to increase the probability of the prediction that crime have been investigated.

• 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.

• Journal of the Society of Disaster Information
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• v.13 no.2
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• pp.221-232
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• 2017

We analyzed the effect of urban disaster on urban growth in 82 cities in Korea. It is interesting to note that violent crime has a positive (+) relationship with income growth, and other theft crime and violent crimes have a negative relationship with anticipated crime. Disaster accidents and incidents do not have a direct effect on employment and population growth, and are the result of rejecting hypotheses presented in previous studies. Finally, although the three indicators representing urban growth, that is, income, employment, and population, have different characteristics of statistical data basically, they show significant differences in explanatory power even though they use the same explanatory variables. This result suggests a new research task in addition to suggesting the use of the three indicators.