• Title/Summary/Keyword: 범죄자 프로파일링

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A Study on the Effectiveness of Criminal Profiling (범죄자 프로파일링의 효용성 평가)

  • Jung, Se-Jong
    • The Journal of the Korea Contents Association
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    • v.14 no.11
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    • pp.686-694
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    • 2014
  • Criminal profiling, also known as offender profiling is designed to predict the characteristics of unknown criminal perpetrator through an analysis of the crime scene. Until now, there has been conflict about the effectiveness of criminal profiling among academics. In this study, 113 police investigators', working in serious crime divisions, were interviewed about their experiences with criminal profiling, and their belief about its effectiveness. 63.7% of the respondents agreed that criminal profiling is a valuable investigative tool and 62.8% agreed that profilers are valuable to criminal investigations. A total of 31.8% agreed that profilers help the police identify offenders and 15.0% agreed that there is no risk of profiler misdirecting and investigation. 61.5% of the respondents who had reported using a profile agreed that profiling is helpful and 71.4% told that they would use profiling again in the future.

A Study for the Criminal Profiling of Arsonists (방화범죄자에 대한 Criminal Profiling 적용 가능성 고찰)

  • Kim, Kyeong-Ok
    • Journal of Korean Institute of Fire Investigation
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    • v.11 no.1
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    • pp.23-30
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    • 2008
  • Recently, police agency and social scientists' interest in the criminal profiling is increasing. Since serial killings had sharply increased during 1960s in U.S. the American law enforcement agency were pushed to solve those criminal incidents. Therefore, they drew various investigative techniques. But there are no study for the criminal profiling of arsonists. So, this paper reviewed prior studies on the arsonist's type and suggested how to apply this kind of basic information for investigating arson cases in Korea.

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Perception of Offender Profiling and its Development Strategies (범죄자 프로파일링에 대한 인식과 발전 방향)

  • Park, Ji-Sun;Choi, Nak-Bum
    • The Journal of the Korea Contents Association
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    • v.12 no.6
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    • pp.413-423
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    • 2012
  • Offender profiling, as a crime investigation technique, aims to respond more effectively to violent crimes. However, attitude that police investigators hold toward offender profiling is quite skeptical, which prevents offender profiling from making effective and practical contributions to police investigations. Therefore, the present study explored development strategies of offender profiling by examining perceptions of offender profiling among 156 Korean National Police University students. Furthermore, a total of 166 students from other universities also participated as a control group. As a result, participants showed positive attitude toward offender profiling, in terms of its necessity, effectiveness, and reliability. However, they believed that Korean police agencies are not making the good use of offender profiling and that profilers are not necessarily taking the lead in solving cases. In terms of the profiler education, the majority of the students who showed interest in becoming a profiler did not know what to learn and how to prepare for becoming one. Finally, limitations of the present study were discussed and suggestions for further research were made.

The Effect of Investigators' Perception of the Importance of Investigative Elements on Their Intention to Use Profiling: Mediating Effect of Attitude toward Profiling (수사관의 수사요소 중요도 인식이 프로파일링 활용 의도에 미치는 영향: 프로파일링에 대한 태도의 매개효과)

  • Shin, Sangwha;Yoon, Sangyeon
    • Korean Journal of Forensic Psychology
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    • v.13 no.1
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    • pp.75-97
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    • 2022
  • Profiling is recognized as a representative application area of domestic criminal psychology, and the National Police Agency profiler is firmly established as a profession. However, compared to the social awareness, the recognition and utilization within the police is not high. In this study, we tried to identify factors affecting the intention to use profiling by identifying the perception of investigators who request and use profiling from a profiler when a violent incident occurs. To this end, the relationship between the perception of the importance of factors considered by investigators in the criminal investigation process and the attitude toward profiling on the intention to use profiling was verified through the path model. As a result of a survey of 340 police investigators, the investigator's perception of the importance of investigation elements was divided into two factors: the importance of normative investigative elements (evidence collection and legal judgment, etc.) and factual investigative elements (criminal analysis, criminal information system analysis, etc.). Among them, the importance of factual investigative elements were found to have a positive effect on the intention to use it by mediating the attitude toward profiling. On the other hand, in the case of the importance of normative investigative elements, it was found to have a negative effect on the attitude toward profiling. These results suggest that the perception that investigators have about investigation, which is their main work area, plays a role in determining whether to request profiling as well as attitude towards profiling. Based on the research results, strategies necessary to activate the use of profiling were discussed.

Spatio-Temporal Patterns and Analysis Methods for Supporting the Efficient Investigation on Serial Crimes (효과적인 연쇄 범죄 수사 지원을 위한 시공간 패턴 및 분석 기법)

  • Hong, Dong-Suk;Seo, Jong-Soo;Han, Ki-Joon
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2008.06a
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    • pp.477-484
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    • 2008
  • 연쇄 살인과 같은 강력 범죄의 심각성이 사회적 이슈가 되면서 이에 대한 효과적인 과학 수사의 필요성이 증가되고 있다. 특히, 연쇄 범죄 데이타에 대한 공간 분석을 통해 범죄자의 거점 위치를 예측하는 지리적 프로파일링과 미래에 발생될 범행 장소의 위치, 즉 기존 범행에 이어 일어날 다음 범행 위치 예측에 관한 연구가 활발하다. 그러나, 이와 관련된 기존 연구는 물리적인 거리에 대한 통계적 기법을 적용하거나 단순한 공간적 분석만을 적용하므로 낮은 예측 정확도를 보이는 문제점이 있다. 본 논문에서는 이러한 문제를 해결하고 보다 효과적인 연쇄 범죄 수사를 지원하는 방법으로써 연쇄 범죄 발생에 대한 공간적 시간적 분포 특성에 따른 시공간 패턴을 기반으로 다양한 시공간 분석을 적용하는 거점 위치 예측 기법과 다음 범행 위치 예측 기법을 제안한다. 제안 기법은 중심축을 따라 나타나는 선형 분포의 연쇄 범죄에서도 정확도 높은 예측이 가능하고, 다수의 서로 다른 군집들에 대해 각 군집내 범행에 대한 지역적 예측과 대상 영역의 모든 범행에 대한 전역적 예측이 가능하다. 또한 방향 패턴을 활용하여 다음 범행 위치 예측 정확도도 개선하였다.

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Base Location Prediction Algorithm of Serial Crimes based on the Spatio-Temporal Analysis (시공간 분석 기반 연쇄 범죄 거점 위치 예측 알고리즘)

  • Hong, Dong-Suk;Kim, Joung-Joon;Kang, Hong-Koo;Lee, Ki-Young;Seo, Jong-Soo;Han, Ki-Joon
    • Journal of Korea Spatial Information System Society
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    • v.10 no.2
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    • pp.63-79
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    • 2008
  • With the recent development of advanced GIS and complex spatial analysis technologies, the more sophisticated technologies are being required to support the advanced knowledge for solving geographical or spatial problems in various decision support systems. In addition, necessity for research on scientific crime investigation and forensic science is increasing particularly at law enforcement agencies and investigation institutions for efficient investigation and the prevention of crimes. There are active researches on geographic profiling to predict the base location such as criminals' residence by analyzing the spatial patterns of serial crimes. However, as previous researches on geographic profiling use simply statistical methods for spatial pattern analysis and do not apply a variety of spatial and temporal analysis technologies on serial crimes, they have the low prediction accuracy. Therefore, this paper identifies the typology the spatio-temporal patterns of serial crimes according to spatial distribution of crime sites and temporal distribution on occurrence of crimes and proposes STA-BLP(Spatio-Temporal Analysis based Base Location Prediction) algorithm which predicts the base location of serial crimes more accurately based on the patterns. STA-BLP improves the prediction accuracy by considering of the anisotropic pattern of serial crimes committed by criminals who prefer specific directions on a crime trip and the learning effect of criminals through repeated movement along the same route. In addition, it can predict base location more accurately in the serial crimes from multiple bases with the local prediction for some crime sites included in a cluster and the global prediction for all crime sites. Through a variety of experiments, we proved the superiority of the STA-BLP by comparing it with previous algorithms in terms of prediction accuracy.

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Characteristics of Intrusion MO and Perception of Target Hardening of Burglars (침입절도범 재소자의 수법 특성과 타겟하드닝 관련 인식)

  • Park, Hyeonho;Kim, Kang-Il;Kim, Hyo-gun
    • Korean Security Journal
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    • no.60
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    • pp.33-61
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    • 2019
  • It is quite difficult to actually prove the effectiveness of so-called target-hardening, one of the various strategies used to reduce crime, one of the serious problems in society recently. In particular, three to five minutes is often used as golden time for intruders to give up or stop, which is based on foreign and some indirect research cases in Korea, but there were no studies that more directly identified the average break-in operation time or the abandonment time based on the elapsed time when the shield hardware resists intruders. This study was the first of its kind in Korea to investigate and verify samples of 90 inmates of break-in burglars who were imprisoned in August 2018 by profiling the average criminal experience, education level, age, height and weight of typical Korean professional break-in thieves, and specific criminal methods, average break-in operation time, and the criteria for giving up if not breached. According to the analysis results, in the survey on the number of pre-invasion theft crimes by intruders, many of the respondents who participated in the survey were criminals of professional invasions, and by their physical characteristics, there was not much difference from ordinary adult men. Residential facilities were the highest in the world, followed by commercial and educational facilities. According to the survey on the types of facilities that committed intrusion into residential facilities, it was not safe to say that single-family housing accounted for the largest portion of single-family housing, multi-family housing, apartment high-rise (more than three stories), and apartment low-rise (more than one to three stories) among residential facilities, and that the ratio of apartment high-rise was higher than expected. Based on the average time required to break into a place for an intrusion crime, it is assumed that the psychological time worked in a place where the break-in was difficult, since the break-in was not performed while measuring the time of the break-in operation. In the case of time to give up a crime, more than half of the respondents said they would give up the crime even in less than four minutes, suggesting that a significant number of intrusive crimes can be prevented even if the facility has four minutes of intrusion resistance. This proves that most intruders will give up the break-in if the break-in resistance performance of the security facility is exercised for more than five minutes.

Suggestions for establishing a smart system to revitalize the local traditional market (지역 전통시장 활성화를 위한 지능형 시스템 구축 제언)

  • Lee, Junghun;Cho, Jungwon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.191-193
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    • 2022
  • The advent of the 4th Industrial Revolution due to the trigger of digital technologies such as artificial intelligence and big data has caused many changes in society, culture, and industry. However, traditional markets in each region are not responding quickly to new distribution environments and consumer changes. In particular, in the case of traditional markets in Jeju, regional characteristics such as marketing strategies for tourists visiting Jeju have not been utilized. Therefore, this study proposes the establishment of a smart traditional market based on big data and artificial intelligence that utilizes the regional characteristics of Jeju. The research contents include customer profiling through visitor big data analysis, providing tourist movement results through traffic analysis, providing real-time popular product charts, and developing video-based fire and crime prevention functions.

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