• 제목/요약/키워드: Violations

검색결과 354건 처리시간 0.023초

딥러닝 알고리즘 기반 교통법규 위반 공익신고 영상 분석 시스템 (Analysis System for Public Interest Report Video of Traffic Law Violation based on Deep Learning Algorithms)

  • 최민성;문미경
    • 한국전자통신학회논문지
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    • 제18권1호
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    • pp.63-70
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    • 2023
  • 고화질 블랙박스의 확산과 '스마트 국민제보', '안전신문고' 등 모바일 애플리케이션의 도입에 따른 영향으로 교통법규 위반 공익신고가 급증하였으며, 이로 인해 이를 처리할 담당 경찰 인력은 부족한 상황이 되었다. 본 논문에서는 교통법규 위반 공익신고 영상 중, 가장 많은 비중을 차지하는 차선위반에 대해 딥러닝 알고리즘을 활용하여 자동 검출할 수 있는 시스템의 개발내용에 관해 기술한다. 본 연구에서는 YOLO 모델과 Lanenet 모델을 사용하여 차량과 실선 객체를 인식하고 deep sort 알고리즘을 사용하여 객체를 개별로 추적하는 방법, 그리고 차량 객체의 바운딩 박스와 실선 객체의 범위가 겹치는 부분을 인식하여 진로변경 위반을 검출하는 방법을 제안한다. 본 시스템을 통해 신고된 영상에 대해 교통법규 위반 여부를 자동 분석해줌으로써 담당 경찰 인력 부족난을 해소할 수 있을 것으로 기대한다.

Investigate the Roles of Sanctions, Psychological Capital, and Organizational Security Resources Factors in Information Security Policy Violation

  • Ayman Hasan Asfoor;Hairoladenan kasim;Aliza Binti Abdul Latif;Fiza Binti Abdul Rahim
    • Asia pacific journal of information systems
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    • 제33권4호
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    • pp.863-898
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    • 2023
  • Previous studies have shown that insiders pose risks to the security of organisations' secret information. Information security policy (ISP) intentional violation can jeopardise organisations. For years, ISP violations persist despite organisations' best attempts to tackle the problem through security, education, training and awareness (SETA) programs and technology solutions. Stopping hacking attempts e.g., phishing relies on personnel's behaviour. Therefore, it is crucial to consider employee behaviour when designing strategies to protect sensitive data. In this case, organisations should also focus on improving employee behaviour on security and creating positive security perceptions. This paper investigates the role of psychological capital (PsyCap), punishment and organisational security resources in influencing employee behaviour and ultimately reducing ISP violations. The model of the proposed study has been modified to investigate the connection between self-efficacy, resilience, optimism, hope, perceived sanction severity, perceived sanction certainty, security response effectiveness, security competence and ISP violation. The sample of the study includes 364 bank employees in Jordan who participated in a survey using a self-administered questionnaire. The findings show that the proposed approach acquired an acceptable fit with the data and 17 of 25 hypotheses were confirmed to be correct. Furthermore, the variables self-efficacy, resilience, security response efficacy, and protection motivation directly influence ISP violations, while perceived sanction severity and optimism indirectly influence ISP violations through protection motivation. Additionally, hope, perceived sanction certainty, and security skills have no effect on ISP infractions that are statistically significant. Finally, self-efficacy, resiliency, optimism, hope, perceived severity of sanctions, perceived certainty of sanctions, perceived effectiveness of security responses, and security competence have a substantial influence on protection motivation.

화학물질 취급사업장 대상 물질안전보건자료 제도 이행실태 불시감독 결과 및 시사점 (Results and Implications of Unannounced Supervision of MSDS Implementation Status at Chemical Handling Workplaces)

  • 심우섭;안유진
    • 한국산업보건학회지
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    • 제33권3호
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    • pp.265-272
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    • 2023
  • Objectives: Since the material safety data sheets(MSDS) submission and non-disclosure review system was introduced in January 2021, the implementation status of MSDS for chemical manufacturing and importing workplaces being supervised for the first time. Methods: A supervisory team consisting of two labor inspectors and one from the Korea Occupational Safety and Health Agency directly visited the selected workplaces to check compliance with the MSDS system as a whole. Results: As a result of supervising 214 chemical substance manufacturing/importing workplaces, a total of 241 violations of the law were found in 121 workplaces, or 57% of them. In response, the Ministry of Employment and Labor took legal action on 8 cases in 6 locations, imposed a fines totaling of 249.69 million won on 120 chemical handling workplaces, and took action to correct the violations immediately. Conclusions: Major violations were in the order of non-request for warning signs, non-submission of MSDS, non-execution of MSDS training, and non-posting of MSDS. This shows the reality that employers who handle chemical substances are sufficiently communicating chemical information to workers. In the future, the government will actively implement preparation and submission support and system guidance for the implementation of the MSDS system, while making efforts to ensure that the MSDS system works well in the field through thorough on-site supervision in the future.

우수 의약품 제조 기준 위반 패턴 인식을 위한 연관규칙과 텍스트 마이닝 기반 t-SNE분석 (Violation Pattern Analysis for Good Manufacturing Practice for Medicine using t-SNE Based on Association Rule and Text Mining)

  • 이준오;손소영
    • 품질경영학회지
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    • 제50권4호
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    • pp.717-734
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    • 2022
  • Purpose: The purpose of this study is to effectively detect violations that occur simultaneously against Good Manufacturing Practice, which were concealed by drug manufacturers. Methods: In this study, we present an analysis framework for analyzing regulatory violation patterns using Association Rule Mining (ARM), Text Mining, and t-distributed Stochastic Neighbor Embedding (t-SNE) to increase the effectiveness of on-site inspection. Results: A number of simultaneous violation patterns was discovered by applying Association Rule Mining to FDA's inspection data collected from October 2008 to February 2022. Among them there were 'concurrent violation patterns' derived from similar regulatory ranges of two or more regulations. These patterns do not help to predict violations that simultaneously appear but belong to different regulations. Those unnecessary patterns were excluded by applying t-SNE based on text-mining. Conclusion: Our proposed approach enables the recognition of simultaneous violation patterns during the on-site inspection. It is expected to decrease the detection time by increasing the likelihood of finding intentionally concealed violations.

지역별 교통안전도 평가와 중점관리 법규위반사항 적출 (Regional Traffic Safety Evalution and Identifying Driver Violations to Be Controlled by Priority)

  • 김경환
    • 대한교통학회지
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    • 제12권1호
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    • pp.5-24
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    • 1994
  • The purpose of this study is to develop an accident hazard index model in order to be used for the evaluation of regional traffic safety and to develop a driver violation index model in order to identify the primary causes of traffic accidents. The accident hazard index model was developed considering the accident rates based on population and the vehicle registration. The driver violation index model was developed considering the accident rates of each item of driver violation. Using the models developed in this study, it is identified that in the provincial level analysis the degree of the traffic safety of Chungbuk, Chungnam, and Kyungbuk Province are evaluated to be low. In the county level analysis of Kyungnam Province, the degree of the traffic safety of Yangsan, Euirung, Haman, Sachun and Tongyung County are evaluated to be low. Also, it is found that the major driver violations causing accidents in the nation are driving by unlicensed drives, improper passing, and improper railroad crossing : in Kyungnam Province, improper passing is the most driver violation.

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Red Light Running Enforcement System Using Real Time Individual Vehicle Tracking

  • Lim, Dae-Woon;Jun, Joon-Suk;Park, Sung-Hoon
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.115.5-115
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    • 2002
  • In this paper, we introduce a system that detects all kinds of violations at a street intersection such as red light running, speed violation, stop line violation and lane violation by tracking individual vehicles. Two cameras are used for defecting violations. One is an analog camera for real-time tracking and the other is a digital camera for license plate reading. This system is connected to the traffic signal system controller and monitors the red, arrow, yellow and green phases of an approach. Two loops in the road are used to detect vehicle approach and speed. The system takes pictures of all vehicles passing a second loop and tracks the vehicles until they go out a street intersection...

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Intentions of Employees to Whistleblow Information Security Policy Violations in the Organization

  • Wei, Liang-Cheng;Hsu, Carol;Wang, Kai
    • Asia pacific journal of information systems
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    • 제26권1호
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    • pp.163-188
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    • 2016
  • Compliance with information security policies has been an important managerial concern in organizations. Unlike traditional general deterrent theory, this study proposes whistle-blowing as an alternative approach for reducing internal information security policy violations. We build on the theories of planned behavior and rational choice as well as develop a theoretical model to understand the factors that influence whistle-blowing attitudes and intention at both the organizational and individual levels. Our empirical results reveal that altruistic and egoistic concerns are involved in the development of whistle-blowing attitudes. The results not only extend our understanding of whistle-blowing motivation but also offer directions to managers in promoting internal disclosure of information security breaches.

Information Communication Ethical Study on the Protection of Digital Copyrights and Alternatives: Focusing on the Secondary School Students

  • Huh, Junho
    • Journal of Multimedia Information System
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    • 제3권2호
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    • pp.27-34
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    • 2016
  • In the past, the judicial circles in the Republic of Korea (ROK) were generous to the online copyright violations of computer software compared to other academic areas or offline violation. However, they started to reconsider such a practice since the FTA talks with some advanced countries began so that new laws had to be established, especially after the first round of negotiations with United States of America (USA) in 2006 during which they changed their views on the matter. Now it became possible to penalize digital copyright violations through lawsuits, and from March 1st, 2017, the court is expected to abolish the nonsuit system for teenagers. Thus, this paper has reviewed the ethical aspects involved in digital copyright protection and examined the possible alternatives, dividing them into three broad groups, before proposing a digital copyright protection curriculum for secondary education.

Lane Detection for Parking Violation Assessments

  • Kim, A-Ram;Rhee, Sang-Yong;Jang, Hyeon-Woong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제16권1호
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    • pp.13-20
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    • 2016
  • In this study, we propose a method to regulate parking violations using computer vision technology. A still color image of the parked vehicle under question is obtained by a camera mounted on enforcement vehicles. The acquired image is preprocessed through a morphological algorithm and binarized. The vehicle's shadows are detected from the binarized image, and lanes are identified using the information from the yellow parking lines that are drawn on the load. Whether parking is illegal is determined by the conformity of the lanes and the vehicle's shadow.

DBQ를 이용한 운전자들의 비정상적 행위에 대한 연구 (Aberrant Driving Behaviors by Driver Behavior Questionnaire)

  • 이재인;임창주;이찬샘;황상혁
    • 대한안전경영과학회지
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    • 제10권4호
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    • pp.65-72
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    • 2008
  • The Manchester Driver Behavior Questionnaire (DBQ) is the most commonly used frameworks for investigating the relationship between self-reported driving behavior and accident involvement. After Reason et al. introduced DBQ, there were many studies replicating the research of Reason et al. in many countries. There was, however, no study replication of the Reason's research in Korea. The aim of this study is to replicate the distinction among errors, lapses and violations, and to evaluate the relationship of these behaviors with road traffic accidents on Korean drivers. 223 Korean drivers completed the Korean version of original DBQ with questions regarding background information, such as age, gender, annual mileage and accident involvement. Participants answered self-assessment questions, also. Factor analysis revealed three factors like Reason et al. The three factors were dangerous errors, violations and relatively harmless errors.