• YAKHAK HOEJI
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• v.52 no.6
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• pp.452-465
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• 2008

Hair analysis for drugs of abuse offers the crucial potential advantage when compared to urine, such as the longer time window of drug intake, which makes retrospective investigation of chronic and/or past consumption. This paper reviews the physiological basis of hair growth, mechanism of drug incorporation, analytical methods, result interpretation and practical application of hair analysis. Moreover, to facilitate the court's decision regarding specific circumstances surrounding the crime, this review demonstrated that the results of hair analysis not only should be admitted as scientific evidence of drug use but also could legally improve reliability of the evidence.

• International Journal of Contents
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• v.8 no.2
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• pp.89-96
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• 2012

Scientific analysis of crime hot spots is essential in preventing and/or suppressing crime. However, results could be different depending on the analytic methods, which highlights the importance of choosing adequate tools. The purpose of this study was to introduce two advanced techniques for detecting crime hot spots, GAM and Local Moran's I, hoping for more police agencies to adopt better techniques.GAM controls for the number of population in study regions, but local Moran's I does not. That is, GAM detects high crime rate areas, whereas local Moran's I identifies high crime volume areas. For GAM, physical disorder was used as a proxy measure for population at risk based on the logic of the broken windows theory. Different regions were identified as hot spots. Although GAM is generally regarded as a more advanced method in that it controls for population, it's usage is limited to only point data. Local Moran's I is adequate for zonal data, but suffers from the unavoidable MAUP(Modifiable Areal Unit Problem).

• 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.

• Journal of Korean Academy of Nursing
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• v.47 no.1
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• pp.39-48
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• 2017

Purpose: The purpose of this study was to verify the relationships among social support, resilience and post traumatic stress disorder (PTSD), and especially to identify factors influencing PTSD in police crime scene investigators. Methods: A cross-sectional design was used, with a convenience sample of 226 police crime scene investigators from 7 Metropolitan Police Agencies. Data were collected through self-report questionnaires during July and August, 2015. Data were analyzed using t-test, ${\chi}^2$-test, Fisher's exact test, and binary logistic regression analysis with SPSS/WIN 21.0 program. Results: The mean score for PTSD in police crime scene investigators was 13.69 .11 points. Of the crime scene investigators 181 (80.1%) were in the low-risk group and 45 (19.9%) in high-risk group. Social support (t=5.68, p<.001) and resilience (t=5.47, p<.001) were higher in the low-risk group compared to the high-risk group. Logistic regression analysis showed that resilience (OR=4.74, 95% CI: 1.57~14.35), and social support (OR=2.13, 95% CI: 1.23~3.69) are effect factors for PTSD low group. Conclusion: For effective improvement of PTSD in police crime scene investigators, intervention programs including social support and strategies to increase should be established.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.270-280
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• 2024

This study aims to explore innovative measures for community policing activities of the Korean police in the context of the newly implemented autonomous police system and the increasing demand for community-oriented policing. By conducting an in-depth analysis of advanced community policing practices in the United States, Japan, and the United Kingdom, this research identifies key characteristics such as resident participation, communication, scientific crime analysis, and customized policing services. The study reveals the need for the Korean police to establish a collaborative governance system that actively involves residents, strengthen scientific policing capabilities utilizing advanced technologies, and provide policing services tailored to local characteristics. Organizational and personnel management reforms, including the substantiation of the local police officer system and the establishment of an institutional foundation for resident participation, are proposed. Furthermore, this study emphasizes the importance of developing a creative community policing model suitable for the Korean context, rather than directly transplanting overseas practices. Continuous research and efforts to build a new policing paradigm that reflects the changing social environment and policing demands are suggested. Ultimately, the success of community policing lies in the active participation and cooperation of all members of society, including the police, government, local communities, and residents.

• Journal of the Korean association of regional geographers
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• v.21 no.4
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• pp.739-750
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• 2015

This study aims to investigate the possibility of crime prevention through CCTV by analyzing the appropriateness of the CCTV location, whether it is installed in the hotspot of crime-prone areas, and exploring the crime prevention effect and transition effect. The real crime and CCTV locations of case city were converted into the spatial data by using GIS. The data was analyzed by hotspot analysis and weighted displacement quotient (WDQ). The results demonstrated that there was no significant effect in the installation of CCTV on crime prevention. This indicates that CCTV should be installed and managed in a more scientific way reflecting local crime situations. In terms of CCTV, the methods of spatial analysis such as GIS, which can evaluate the installation effect, and the methods of economic analysis like cost-benefit analysis should be developed. In addition, these methods should be distributed to local governments across the nation for the appropriate installation of CCTV and operation. This study intended to find a design guideline of the optimum CCTV installation. In this regard, this study is meaningful in that it will contribute to the creation of a safe city.

• 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.

• 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 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.

• Korean Journal of Clinical Laboratory Science
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• v.45 no.4
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• pp.154-158
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• 2013

The unnatural dead body refers to a corpse which is suspicious of unusual death and the dead case has been occurred more than 20 thousands times every year during the recent five years and most of them are found decayed. Police Scientific Investigators investigate unnatural dead bodies and its surroundings in all-around way and determine whether the death is involved with a crime, and most of the Scientific Investigators are exposed to a danger to get infected with pathogenic bacteria which are generated during the decaying process of dead body and are mostly to cause serious injuries on human beings. In line with the fact, the present study conducted a bacterial analysis by collecting excretions from 60 dead bodies and culturing the bacteria to evaluate infection risk of the police agents. The study cultured bacteria from 60 bodies and classified pathogenic bacteria of 108 strains, and its main bacteria are found to be them (; Acinetobacter baumannii 20 strains (19%), Pseudomonas aeruginosa 19 strains (18%), E. coli 18 strains (17%), Klebsiella pneumoniae 11 strains (10%), Proteus mirabillis 10 strains (9%), Enterococcus faecium 10 strains (9%), Staphylococcus aureus 9 strains (8%), Bacillus spp. 5 strains (5%), Streptococcus pneumoniae 3 strains (3%), Candida albicans 2 strains (2%), Mycobacterium tuberculosis 1 strains (1%)). The study results are expected to be used as educational data for preventing the Police Scientific Investigator from infections with bacteria or as a minimum data for improving work environment of the agents.