• Korean Journal of Culture and Social Issue
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• v.21 no.3
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• pp.377-394
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• 2015

The purpose of this research was to identify the relationship between specific personality characteristics and maladaptive social behaviors in order to contribute to development of a pragmatic intervention for the prevention of sexual aggression. This was accomplished by examining the mediating effects of entitlement rage (K-PNI) or sociosexuality (K-MSAS) on sexual aggression, and moderating effects of cognitive emotion regulation strategies (K-CERQ) or state empathy (K-CMEM) on sexual aggression in narcissistic men. Data were obtained from male college students (n = 264) who completed self-report questionnaires, such as K-NPI and K-CMEM, and hierarchical regression analysis was applied to examine these relationships. Both entitlement rage and cognitive emotion regulation strategies were found to be unassociated with sexual aggression. Rather, sociosexuality was the mediating factor between narcissism and sexual aggression, Whereas state empathy was a moderating factor between narcissism and sexual aggression. These findings indicate a tendency for sociosexuality to increase sexual aggression in males. However, individuals with low state empathy are more likely to show sexual aggression than those with high state empathy, indicating that intervention for increased state empathy may be a more effective treatment than cognitive emotion regulation strategies.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.73-80
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• 2023

The recent steep increase in the minimum hourly wage has increased the burden of labor costs, and the share of unmanned stores is increasing in the aftermath of COVID-19. As a result, theft crimes targeting unmanned stores are also increasing, and the "Just Walk Out" system is introduced to prevent such thefts, and LiDAR sensors, weight sensors, etc. are used or manually checked through continuous CCTV monitoring. However, the more expensive sensors are used, the higher the initial cost of operating the store and the higher the cost in many ways, and CCTV verification is difficult for managers to monitor around the clock and is limited in use. In this paper, we would like to propose an AI image processing fusion algorithm that can solve these sensors or human-dependent parts and detect customers who perform abnormal behaviors such as theft at low costs that can be used in unmanned stores and provide cloud-based notifications. In addition, this paper verifies the accuracy of each algorithm based on behavior pattern data collected from unmanned stores through motion capture using mediapipe, object detection using YOLO, and fusion algorithm and proves the performance of the convergence algorithm through various scenario designs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.182-184
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• 2012

마이크로소프트에서 개발한 키넥트(kinect)는 엑스박스(XBox) 게임 컨트롤러로 사용하는 장비이며 이 센서를 이용하여 사용자의 인체 행동을 인식하여 게임을 진행할 수 있는 센서 시스템이다. 또한 윈도우 환경에서 키넥트를 활용하여 다양한 응용 프로그램 개발을 할 수 있도록 SDK를 제공하고 있다. 현대사회에서 각종 범죄가 늘어남에 따라서 CCTV의 운용이 늘어나고 있으며 지정된 구역을 감시하는데 다양한 영상 장비들과 프로그램이 운용하고 있다. 시장에 판매되고 있는 CCTV 장비들 중에서 사람 추적기능을 가능 제품은 가격이 대부분 고가이다. 또한 야간에서는 사람의 감지가 힘들다. 본 연구에서는 키넥트의 골격 추적기능과 음성인식 기능을 활용하여 실시간 영상 녹화 프로그램을 개발하고자 하며, 개발된 프로그램은 키넥트 센서로 영상을 실시간 녹화하고 침입자에 대한 움직임을 자동 추적하여 녹화하는 DVR 시스템을 제안하고자 한다. 또한 야간에서는 깊이(Depth) 영상을 이용하여 인물을 인식과 추적을 한다. 궁극적으로 키넥트 센서(Kinect Sensor)의 CCTV기능에 대한 활용성을 연구하는데 목적을 가진다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.910-912
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• 2005

영상감시기술은 공공장소의 사랑 행동패턴 분석을 통한 범죄 예측, 실내 환경에서의 사람의 출입여부 확인, 다중 카메라에서의 특정 이동객체 추적 등 다양하게 이용되고 있다. 또한 유비쿼터스 환경에서 영상센서로 사용 될 수 있다. 영상감시기술에서는 입력된 영상을 여러 과정을 통하여 분석 하게 된다. 여러 과정 중 이동 객체의 정확한 분석을 위해서는 효과적인 이동객체 검출 방법이 필요하게 된다. 어떤 감시카메라는 객체가 감지되었을 때 감지된 영상을 자동으로 보정한다. 이와 같이 자동보정 카메라에 입력된 영상을 분석할 경우 보정된 정도에 따른 영상처리가 필요하게 된다. 이동객체 검출 단계는 배경영상 모델링, 이동객체 검출, 그림자 제거 단계로 나눌 수 있다. 이 같은 과정 중에 감지된 영상의 자동보정 정도를 측정하고 영상 분석시 측정값을 적용하게 된다. 보정 정도를 적용한 방법과 하지 않은 방법 중에 적용한 방법이 더욱 정확한 검출 정도를 나타냈으며, 검출된 이진 이미지의 개선을 위한 과정 중 Reconstruction의 형태학적 영상처리 방법을 적용하여 기존의 검출 방법보다 향상된 결과 영상을 획득할 수 있었다. 이렇게 검출된 이동객체의 분석을 통해 보다 향상된 분석을 할 수 있게 되며, 차후 유비쿼터스 환경에서의 영상 센서로 사용 될 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10c
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• pp.619-621
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• 2002

네트워크 기반 컴퓨터 시스템은 현대사회에 있어서 매우 중요한 역할을 담당하고 있기 때문에 이들은 정보 범죄들로부터 안정적이면서 효율적인 환경을 제공하는 것은 매우 중요한 일이다. 현재의 침입탐지 시스템은 네트워크 상에서 지속적으로 처리되는 대량의 패킷에 대하여 탐지속도가 떨어지고, 새로운 침입유형에 대한 대응방법이나 인지능력에도 한계가 있기 때문이다. 따라서 다양한 트래픽 속에서 탐지율을 높이고 탐지속도를 개선하기 위한 방안이 필요하다. 본 논문에서는 침입탐지 능력을 개선하기 위해 먼저, 광범위한 침입항목들에 대한 탐지 적용기술을 학습하고, 데이터 마이닝 기법을 이용하여 침입패턴 인식능력 및 새로운 패턴을 생성하는 적용기술을 제안하고자 한다. 침입 패턴생성을 위해 각 네트워크에 돌아다니는 관련된 패킷 정보와 호스트 세션에 기록되어진 자료를 필터링하고, 각종 로그 화일을 추출하는 프로그램들을 활용하여 침입과 일반적인 행동들을 분류하여 규칙들을 생성하였다. 마이닝 기법으로는 학습된 항목들에 대한 연관 규칙을 찾기 위한 연역적 알고리즘을 이용하였다. 또한, 추출 분석된 자료는 리눅스기반의 환경 하에서 다양하게 모아진 네트워크 로그파일들을 본 논문에서 제안한 방법에 따라 적용한 결과이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.25-27
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• 2021

With the recent development of deep learning technology, computer vision-based AI technologies have been studied to analyze the abnormal behavior of objects in image information acquired through CCTV cameras. There are many cases where surveillance cameras are installed in dangerous areas or security areas for crime prevention and surveillance. For this reason, companies are conducting studies to determine major situations such as intrusion, roaming, falls, and assault in the surveillance camera environment. In this paper, we propose a real-time abnormal behavior analysis algorithm using object detection and tracking method.

• Korean Journal of Culture and Social Issue
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• v.8 no.1
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• pp.1-15
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• 2002

The present paper was to explore the attitude of middle and high school students for Won-jo-kyo-je which, recently, has been a social issue. The present authors would like to, at first, suggest that it needs to be social consensus about Won-jo-kyo-je as a adolescent's prostitution in Korean society. Nowadays, Won-jo-kyo-je is socially issued and bring into legal problem. Thus, we tried to investigate the properties of Won-jo-kyo-je through analysing student's awareness about it and concluded that it is the same as prostitution.

• Journal of Legislation Research
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• no.55
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• pp.137-166
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• 2018

Wenn nach dem starken Trinken etwas strafbares passiert, so ist das Gesamtverhalten als $strafw{\ddot{u}}rdig$ und strafbar anzuerkennen. Aber nach dem Schuldprinzip handelt ohne Schuld, wer bei Begehung der Tat $unf{\ddot{a}}hig$ ist, das Unrecht der Tat einzusehen oder nach dieser Einsicht zu handeln(Koinzidenzprinzip). Die Rechtsfigur der "actio libera in causa" dient dazu, diese in $h{\ddot{a}}ufigen$ $F{\ddot{a}}llen$ als kriminalpolitisch $unerw{\ddot{u}}nscht$ empfundene $L{\ddot{u}}cke$ zu umgehen. Dabei kommt auch dem Vollrauschtatbestand in der Praxis $erh{\ddot{o}}hte$ Bedeutung zu. Der deutsche Gesetzgeber war sich bei der Aufnahme des Vollrauschtatbestandes in das Gesetz durchaus $bewu{\ss}t$, $da{\ss}$ die Vorschrift eine Ausnahme zur Schuldzurechnungsregelung darstellte. Er $w{\ddot{a}}hlte$ jedoch die Form eines $selbst{\ddot{a}}ndigen$ Tatbestandes, um die Durchbrechung des reinen Schuldprinzips $ertr{\ddot{a}}glich$ zu machen. Der Vollrauschtatbestand ist ein abstraktes $Gef{\ddot{a}}hrdungdsdelikt$ -demnach die im Rausch verwirklichte rechtswidrige Tat nur objektive Bedingung der Strafbarkeit ist -, das sachlich eine Schuldzurechnungsregelung $enth{\ddot{a}}lt$, und zwar eine Ausnahme $gegen{\ddot{u}}ber$ die Regelungen ${\ddot{u}}ber$ Schuldzurechnung. Dieser Vollrauschtatbestand ist dennoch als regitime $Erg{\ddot{a}}nzung$ der in Schuldzurechnungsregelungen beschriebenen $Schuldzurechnungsgrunds{\ddot{a}}tze$ anzusehen. Er steht $n{\ddot{a}}mlich$ in Einklang mit dem Schuldgrundsatz, wenn als subjektives Tatbestandsmerkmal des Vollrausches die Kenntnis der $Gef{\ddot{a}}hrlichkeit$ des Rauschzustandes $f{\ddot{u}}r$ die Begehung von Delikten vorausgesetzt wird.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.119-128
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• 2014

This Study investigated the differences of risk assessment tool and personality assessment inventory (PAI) by recidivism types of juvenile delinquents, the psychological factors that have a influence of juvenile behaviors. 268 incipient Juvenile criminals who had committed crime in the areas of Seoul, were categorized in the three degree of recidivism types. The result showed the significant differences among risk assessment tool, such as family functioning risk factor, school risk factor, away-from-home risk factor, delinquent risk factor, and personal risk factor. PAI scores among the recidivism type showed the significant differences on SOM, DEP, PAR, SCZ, BOR, ANT, ALC, DRG, AGG, SUI, STR, NON, DOM, and WRM. The predictor variables explained a risk assessment tool were STR, ALC, DEP, DOM and WRM in PAI scales. And the interventions and preventions about juvenile delinquents discussed in psychological aspects.

• Korean Security Journal
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• no.19
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• pp.43-66
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• 2009

For the quality improvement on private security industry, the quality of personnel in private security should be advanced through the systematic training. If the personnel in private security provide an advanced service in applying knowledge and technique to the field when in training, they can obtain the reliability from people. With the point of this side, practical and systematic training is essential to the restoration on the private security industry. The personnel of private security face many people in the field. So they must work with an active concept that can prevent additional crime from behavior suspicions through scientific observation method and systematic inquiry method rather than negative work with providing a friendly service in the field. For conducting this concept, therefore, this study suggested the improvement training program of "Question and Research Guides" from new employee training on existing private security. The scientific observation standard is specifically suggested from the study 'people watching' of Professor Morris, D. and an act contact question from lead technique that US FBI, police, and inspection institute are taking through the feature of human act and 'METT' that is the program for emotion capture training through human minute look is going to be applied on "Question and Research Guides" training. This will provide the educational mood for students with the training content that is available for the practical training program and the real work, and will help to restore the private security industry with obtaining people's reliability through the scientific work and advanced field treatment.