• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.51-54
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• 2021

The article is devoted to the study of the features of administrative liability for offenses in the informational sphere, the definition of the concept and features. Based on the examples of implementation of instruments of European legislation into the national legal system and examples of national legal practice, the authors have identified the features of informational and legal sanctions aimed at restricting the rights of access of subjects to information, prohibiting them to disseminate certain information, restricting the rights to disseminate certain information, and suspending informational activities. It has been substantiated that the administrative liability for informational offenses as a protective legal institution is created to contribute to the solution of such acute problems of legal support of human and society interests in the new informational dimensions.

• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.169-172
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• 2021

The article discusses the results of a quantitative analysis of open educational resources in the field of information technology. Study is based on a study of the content of ten platforms that provide access to open resources (OPs). To achieve this goal, we used the following methods: theoretical analysis and generalization of Internet sources to determine the popularity of educational platforms and resources on them; quantitative data analysis to determine the relative proportion of IT courses in various parameters: the relative weight of courses in the IT field in general and on each platform in particular, the language of instruction, the quantitative content by thematic areas. The following platforms providing access to open educational resources were subjected to quantitative analysis: Coursera, Edx, Udemy, MIT OpenCourseWare, OpenLearn, Intuit, Prometheus, UoPeople, Open Learning Initiative, Maidan Open University.

• 의료법학
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• 제11권2호
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• pp.149-179
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• 2010

In November 2007, the Korean Constiutional Court held that a joint penal provision in which the individual employer is punished when his or her employee is determined to have committed a crime was unconstitutional, because the joint penal provision had no contents for the culpability of an individual employer and thus violated the constitutionally protected principle of culpability. After the Korean Constitutional Court's judgment, since December 2008 the Ministry of Justice began to change the old joint penal provision into the new revised joint penal provision. On January 2010, the old joint penal provisions of 110 laws were revised. The new revised joint penal provision adds only an additional sentence: "If a juristic person, an entity or an individual perform due care and supervision over its employee for the prevention of such a crime, it will be exempted from the punishment". But an presumption of negligence clause that is added in the new revised joint penal provision is still vacuum in concerned with supervision responsibility. Probably the new form of penal provision, that is understood to be a kind of the presumption of negligence, could let the burden of proof be changed from the public prosecutor to the accused, in other words employer-side. Especially, when joint penal provision is applied to hospital as administrative punishment, according to the hospital is a (juridical) foundation or not, the application of the joint penal provision is different and unfaithful. In my opinion, therefore, a corporation liability could be considered according to various liability of employee's business and the crime its employee committed because of an organizational failure of the corporation.

• 시큐리티연구
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• 제60호
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• pp.91-111
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• 2019

꾸준히 늘어나고 있는 강력범죄의 예방은 언제나 인류의 중요 화두 중 하나이다. 최근의 대표적인 예방법은 도시에 범죄예방환경설계(CPTED)을 적용해 설계하는 것이다. 이 개념에서 가장 중요한 것이 감시와 접근통제인데, 그 중 일반적으로 많이 사용되는 방법은 기계적 감시에 속하는 것이지만 새로운 흐름에 맞추어 공공데이터를 활용한 다른 관점에서의 클래식 범죄예방 정책 제안이 필요하다. 이에 본 연구에서는 활용하는 공공데이터로 한국의 중심지인 서울시 데이터 포탈에서 제공되는 최근 년도의 자치구별 5대 범죄 발생현황통계를 중심으로 범위를 설정, 가장 개선이 필요한 부분에 범죄예방정책을 제안하도록 한다. 데이터 분석 및 시각화 방법으로는 오픈소스인 Python 분석 프로그램을 사용하였다.