• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.463-469
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• 2013

In this study, I examine whether differences in the levels of stress exist with regard to the police department size. To accomplish this, a way ANOVA analysis of variance(One-way ANOVA) was conducted. As a result, a significant difference was found in Job stress and traumatic stress according to the department size and grade. Specifically, first, in the job stress level on the department size, the smaller department size was, the higher job stress level was and the bigger department size was, the lower job stress level was. Second, in the traumatic stress level on the department size, the smaller department size was, the higher traumatic stress level was and the bigger department size was, the lower traumatic stress level was. Third, in the job stress level on the department grade, the lower department grade was, the lower job stress level was and the higher department grade was, the higher job stress level was. Fourth, in the traumatic stress level on the department grade, the lower department grade was, the lower traumatic stress level was and the higher department grade was, the higher traumatic stress level was.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.241-242
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• 2014

이 연구에서는 경찰의 조직적 특성 중 경찰관서의 규모에 따른 직무만족과 이직의도 수준을 비교 분석하고자 하였다. 경찰관서 규모에 따른 직무만족과 이직의도 수준의 차이를 살펴보기 위해 독립변수는 관서규모와 급지, 종속변수는 직무만족과 이직의도로 구성하여 일원변량 분산분석(One-way ANOVA)을 실시하였다. 그 결과 관서규모와 급지 둘 다 직무만족과 이직의도에서 통계적으로 유의한 수준의 차이가 발견되었다.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.187-188
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• 2013

이 연구에서는 경찰의 조직적 특성 중 경찰관서의 규모에 따른 스트레스 수준을 비교 분석하고자 하였다. 경찰관서 규모에 따른 스트레스 수준의 차이를 살펴보기 위해 독립변수는 관서규모와 급지, 종속변수는 생활 스트레스, 직무 스트레스, 외상성 스트레스로 구성하여 일원변량 분산분석(One-way ANOVA)을 실시하였다. 그 결과 관서규모와 급지 둘 다 직무 스트레스와 외상성 스트레스에서 통계적으로 유의한 수준의 차이가 발견되었다.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.233-241
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• 2015

In this study, I examine whether differences in the levels of job satisfaction and turnover intention exist with regard to the police department size. To accomplish this, a way ANOVA analysis of variance(One-way ANOVA) was conducted. As a result, a significant differences were found in job satisfaction and turnover intention according to the department size and grade. Specifically, first, in the job satisfaction level on the department size, the smaller department size was, the lower job satisfaction level was and the bigger department size was, the higher job satisfaction level was. Second, in the turnover intention level on the department size, the result was not statistically significant. Third, in the job satisfaction level on the department grade, the lower department grade was, the higher job satisfaction level was and the higher department grade was, the lower job satisfaction level was. Fourth, in the turnover intention level on the department grade, the lower department grade was, the lower turnover intention level was and the higher department grade was, the higher turnover intention level was.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.843-848
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• 2007

날로 광역화, 지능화, 디지털화된 범죄양상과 국민들의 고품질 치안서비스에 대한 관심과 욕구의 증대로 인해 치안수요가 증가하고 있다. 지금까지의 선행연구들은 경찰인력의 수요에 영향을 미치는 특정 변수를 회귀분석을 통해 찾아낸 뒤 이것을 바탕으로 경찰인력에 대한 예측을 시도하였으나, 경찰 업무 전반에 걸친 직무를 분석하여 치안 수요 및 업무량에 따른 적정인력을 산출하는 연구는 부족한 실정이다. 따라서 본 연구는 경찰관서 각 기능별 실무자 면담을 통해 직무를 분석한 후 기능별 주요 업무를 선정하였고 시스템 다이내믹스 방법론을 활용하여 기능별 경찰관서의 표준인력 수요를 예측하였다. 또한 235개의 관서 모델을 만들어 컴퓨터 시뮬레이션을 통해 관서별, 지방청별 효율적 인력 운용 방안에 대해 논의하였다.

• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.536-543
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• 2018

In 2003, the local police system was adopted, and the personnel and installation of local police agencies were subsequently changed. According to the "Police Law", local police station shall be established under the control of chief of police department, and the criteria for the installation of local police stations were to take into consideration of population, administrative districts, area, geographical characteristics, traffic and other conditions. The chief of local police has the authority to install district police station according to the "National Police Agency and its Organization". However, it is hard to say they were applied. Futhermore, it is inappropriate to apply the laws and regulations equally across the nation. Also, it has been criticized for its difficulties of patrolling, the weakened relationship with local residents, and poor quality of security services in rural areas. Therefore, this study suggests that the criteria for the installation of the police station should be made through a comprehensive analysis of the characteristics of the areas and security needs.

• 대한치과보철학회:학술대회논문집
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• 1994.12a
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• pp.17-17
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• 1994

• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.211-216
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• 2012

In this study, the relationship between the organizational characteristics of police officers and the level of post-traumatic stress disorder in the comparative analysis was to check for post-traumatic stress disorder, according to the organizational characteristics affect. To accomplish this, a way ANOVA analysis of variance(One-way ANOVA) was conducted. The department in post-traumatic stress disorder level, a significant difference was found. It was more likely to be exposed to a traumatic experience if who is working in the front-line department. Post-traumatic stress disorder according to the work unit, a significant difference was found. The level of Post-traumatic stress disorder in outside job unit officers was higher than that of desk job unit offcers. Post-traumatic stress disorder according to the rank and duration of employment and the administrative district level, a significant difference was not found.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.77-78
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• 2012

이 연구에서는 경찰공무원의 PTSD 수준을 파악하고 조직적인 특성과 PTSD 수준의 관계를 살펴봄으로써 조직적 특성에 따른 PTSD에 대한 영향을 확인하고자 하였다. 조직적 특성에 따른 PTSD 수준의 차이를 살펴보기 위해 일원변량 분산분석(One-way ANOVA)을 실시하였다. 그 결과 근무관서와 근무부서별 요인에서 통계적으로 유의한 수준에서 차이가 발견되었다.

• The Journal of Bigdata
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• v.3 no.2
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• pp.101-112
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• 2018

The purpose of the study is to predict the number of police calls using neural network which is one of the machine learning and negative binomial regression, by using the data of 112 police calls received from Chungnam Provincial Police Agency from June 2016 to May 2017. The variables which may affect the police calls have been selected for developing the prediction model : time, holiday, the day before holiday, season, temperature, precipitation, wind speed, jurisdictional area, population, the number of foreigners, single house rate and other house rate. Some variables show positive correlation, and others negative one. The comparison of the methods can be summarized as follows. Neural network has correlation coefficient of 0.7702 between predicted and actual values with RMSE 2.557. Negative binomial regression on the other hand shows correlation coefficient of 0.7158 with RMSE 2.831. Neural network has low interpretability, but an excellent predictability compared with the negative binomial regression. Based on the prediction model, the police agency can do the optimal manpower allocation for given values in the selected variables.