• Journal of Digital Convergence
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• v.12 no.7
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• pp.85-93
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• 2014

The Press related Energy including nuclear energy has social responsibility that it should pass the scientific factors to the right. It is essential to ensure the accuracy and fairness. The general public, such as press releases and information obtained through indirect communication affects social acceptance of nuclear power, which is used to determine the direction of energy policy, the most important factor to be taken into account. Recent rapid increase coverage of NPP lose in balance of nuclear power plants. In this study the qualitative interviews were performed with the workers who stand directly in obtaining information about nuclear related organizations. By E-mail and FGI the data were collected from the workers' perception about domestic nuclear news. They perceived the NPP news that the negative aspects of nuclear power plants were too much dealt in nuclear news coverage, and risk of NPP is only exaggerated and distorted, the lack of expertise knowledge on nuclear power and recognize that the cause was a lack of understanding. 'Nuclear mah' for the event were aware that should dig more thoroughly. The Journal of Digital Policy & Management.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.12
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• pp.587-594
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• 2016

Autonomous A.I. vehicles are seemingly soon ready for our life. One of the critical problems with autonomous vehicles is how one could assign responsibility for accidents to them. We can envisage that autonomous vehicles may confront an ethical dilemma. Then a question arises of how we are able to assign legal responsibility to autonomous vehicles. In this paper, I first introduce what the ethical dilemma of autonomous vehicles is about. Second, I show how we could be able to assign legal responsibility for autonomous vehicles. Legal probability is the received criteria for causal responsibility most of the legal theorists consider. But it remains vague. I articulate the concept of legal probability in terms of the probabilitstic theory of individual level causality while considering how one can assign causal responsibility for autonomous vehicles. My theory of causal responsibility may help one to assign legal responsibility not just for autonomous vehicles but also for people.

• Korean Journal of Social Welfare
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• v.63 no.3
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• pp.213-237
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• 2011

The aim of this study was to elucidate characteristics of ongoing and progressive gambling addiction. So a researcher reviewed existing studies on the gambling addiction and reflected the epistemological assumptions behind it. In this study, 4 men gamblers were participated and in-depth interviews were conducted, the data were analyzed using case studies. The results of this study were as followings; the process of gambling addiction was conducted based on a particular stage. In particular, we could find that the phenomenon of gambling addiction has 'concurrency' in each phase. Phenomenons often seen in each step and each other extraneous event were interpreted as mutually complementary meaning. Also they affected the transmission to next steps of gambling addiction.

• Food Industry
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• s.212
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• pp.68-74
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• 2009

기후변화(Climate change) 문제가 세계적인 초미의 관심사로 대두되고 있다. 특히 기후변화의 주범이 인간활동인 것이 밝혀지면서(IPCC, 2007), 국제사회는 기후변화협약(UNFCCC), 온실가스 배출량 규제 등 21세기 인류가 직면한 최대 위기인 기후변화를 극복을 위한 완화(mitigation)와 적응(adaptation) 전략을 수립하고 시행하기 위하여 총력을 기울이고 있다. 기후변화는 인류와 관련된 모든 분야에 다양하면서 광범위한 영향을 준다. 특히 기후변화로 인한 기온, 습도, 강수량 등의 변동은 식품과 관련된 생물학적, 화학적 및 물리적 위해인자들의 변화를 초래할 것이고, 이는 곧 식품안전 사건과 사고와 직결된다. 우리나라의 기후변화가 이미 국제적 기후변화의 수준을 추월하였고, 향후 급속한 기후변화가 전망됨에 따라(국립기상청, 2009) 기후변화로 인한 식품안전 분야의 적절한 사전예방적 대책 마련이 필요한 상황이다. 이러한 대책의 수립이 시급함에도 불구하고, 기후변화와 식품안전에 대한 과학적으로 증명되어야 할 불확실한 부분이 많이 내재되어 있는 것도 사실이다. 따라서 본고에서는 기후변화로부터 식품안전을 확보하기 위한 제도 정책적 전략 수립에 도움을 주고, 기후변화에 따른 식품안전 분야의 영향에 대한 정보를 국민에게 정확하게 전달할 수 있는 홍보 교육 자료의 개발에 활용할 목적으로 수행된 "기후변화와 식품안전에 대국민 인지도 설문조사" 내용 중 종요한 부분을 발취하여 정리하였다. 이 설문조사는 전국 16대 광역시도에 거주하는 만 13세 이상의 국민을 대상(유효 응답자수 1,036명)으로 "기후변화 인식수준", "식품안전 인식 수준", "식품안전 지식 수준"에 대한 16가지 질문을 전화 면접조사를 통해 설시되었다(표준오차 3.04%, 95% 신뢰수준).

• Journal of the Korean Institute of Telematics and Electronics
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• v.19 no.3
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• pp.28-36
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• 1982

Petri nets have been used for medeling a wide variety of systems from computer to social systems. This paper disusses Petri nets in the context of mathematical representation and its associated bag theory. The method of modeling systems such as event-condition, computer progranm computer operation and PERT chart is discribed and their Petri net representation are presented. Finally Petri net representation of tunnel diode oscillator circuit and the analysis of the circuit using Petri net are discussed with the program and results.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.306-308
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• 2017

디지털 정보의 활용이 보편화된 최근의 사회는 수사와 재판과정에도 많은 변화를 주었다. 사람들의 행위에 따르는 법적인 문제들을 해결하기 위해서는 디지털 방식의 자료들을 이용할 수 밖에 없으며, 특히나 산업보안 수사에서 디지털 자료는 필수 불가결하다. 대부분의 기술유출사건이 이동식 저장매체 또는 네트워크와 같은 디지털 자료를 이용하여 발생하기 때문이다. 이렇듯 디지털 증거의 중요성이 날로 증가하고 있는 상황에서 증거로서의 능력을 인정받기 위해서는 과학적이고 객관적인 절차를 필요로 한다. 하지만 기하급수적으로 늘고있는 디지털 증거에 대한 기술력과 분석력에 비해 디지털 포렌식 관련 법과 제도의 확립은 아직 부족한 실정이다. 본 연구를 통해 디지털 포렌식 관련 연구동향을 파악하고 연구 활성화를 위한 객관적인 데이터를 제공하고자 한다.

• The Science & Technology
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• no.8 s.447
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• pp.14-17
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• 2006

서울대 58년 역사상 첫여성 처장으로 임명됐던 노정혜 연구처장(생명과학부 교수)이 7월말로 2년간의 임기를 끝냈다. 노 처장은 지난해 우리 사회를 혼란스럽게 했던 황우석 박사의 줄기세포 논문조작 사건을 맡아 진실 규명에 중요한 일을 해낸 것으로 평가받고 있다. 당시 노 처장은 전국민을 대상으로 한 방송 생중계에서 차분한 어조와 절제된 표현, 힘 있는 발언으로 강한 인상을 남겼다. 또 서울대 자연대 수석 졸업, 20대 서울대 여교수 임용, 강금실(전법무부 장관), 김영란(대법관)과 고교 동기 등의 사실이 알려지면서 노 연구처장에 대한 개인적인 호기심을 불러일으키기도 했다. 정운찬 서울대 23대 총장의 이임식이 열리던 지난 7월 19일, 서울대 본부의 연구처장실에서 그를 만났다. 그는“과학자가 행정업무에 적합하지 않다는 것은 선입견일 뿐”이라며“과학자는 합리성을 갖고 있기 때문에 오히려 더 잘할 수 있다”고 밝혔다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.591-594
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• 2014

Due to the spread of personal computers and the development of network, the information age has come and a variety of information has been flooded. Accordingly, individuals and companies have been a lot of attention to information security. However personal information leaks have been happening constantly in Korea. Nevertheless, awareness of security of personal information have been treated carelessly in society. In this paper, we will survey foreign awareness of personal information, specific cases for information leaks, and coping methods.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.69-92
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• 2015

The explosion of social media data has led to apply text-mining techniques to analyze big social media data in a more rigorous manner. Even if social media text analysis algorithms were improved, previous approaches to social media text analysis have some limitations. In the field of sentiment analysis of social media written in Korean, there are two typical approaches. One is the linguistic approach using machine learning, which is the most common approach. Some studies have been conducted by adding grammatical factors to feature sets for training classification model. The other approach adopts the semantic analysis method to sentiment analysis, but this approach is mainly applied to English texts. To overcome these limitations, this study applies the Word2Vec algorithm which is an extension of the neural network algorithms to deal with more extensive semantic features that were underestimated in existing sentiment analysis. The result from adopting the Word2Vec algorithm is compared to the result from co-occurrence analysis to identify the difference between two approaches. The results show that the distribution related word extracted by Word2Vec algorithm in that the words represent some emotion about the keyword used are three times more than extracted by co-occurrence analysis. The reason of the difference between two results comes from Word2Vec's semantic features vectorization. Therefore, it is possible to say that Word2Vec algorithm is able to catch the hidden related words which have not been found in traditional analysis. In addition, Part Of Speech (POS) tagging for Korean is used to detect adjective as "emotional word" in Korean. In addition, the emotion words extracted from the text are converted into word vector by the Word2Vec algorithm to find related words. Among these related words, noun words are selected because each word of them would have causal relationship with "emotional word" in the sentence. The process of extracting these trigger factor of emotional word is named "Emotion Trigger" in this study. As a case study, the datasets used in the study are collected by searching using three keywords: professor, prosecutor, and doctor in that these keywords contain rich public emotion and opinion. Advanced data collecting was conducted to select secondary keywords for data gathering. The secondary keywords for each keyword used to gather the data to be used in actual analysis are followed: Professor (sexual assault, misappropriation of research money, recruitment irregularities, polifessor), Doctor (Shin hae-chul sky hospital, drinking and plastic surgery, rebate) Prosecutor (lewd behavior, sponsor). The size of the text data is about to 100,000(Professor: 25720, Doctor: 35110, Prosecutor: 43225) and the data are gathered from news, blog, and twitter to reflect various level of public emotion into text data analysis. As a visualization method, Gephi (http://gephi.github.io) was used and every program used in text processing and analysis are java coding. The contributions of this study are as follows: First, different approaches for sentiment analysis are integrated to overcome the limitations of existing approaches. Secondly, finding Emotion Trigger can detect the hidden connections to public emotion which existing method cannot detect. Finally, the approach used in this study could be generalized regardless of types of text data. The limitation of this study is that it is hard to say the word extracted by Emotion Trigger processing has significantly causal relationship with emotional word in a sentence. The future study will be conducted to clarify the causal relationship between emotional words and the words extracted by Emotion Trigger by comparing with the relationships manually tagged. Furthermore, the text data used in Emotion Trigger are twitter, so the data have a number of distinct features which we did not deal with in this study. These features will be considered in further study.

• The Korean Journal of Archival Studies
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• no.44
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• pp.51-99
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• 2015

The purpose of the archival appraisal has gradually changed from the selection of records to the documentation of the society. In particular, the qualitative and quantitative developments of the current digital technology and web have become the driving force that enables semantic acquisition, rather than physical one. Under these circumstances, the concept of 'documentary heritage' has been re-established internationally, led by UNESCO. Library and Archives Canada (LAC) reflects this trend. LAC has been trying to develop a new appraisal model and an acquisition model at the same time to revive the spirit of total archives, which is the 'Whole-of-society approach'. Features of this approach can be summarized in three main points. First, it is for documentary heritage and the acquisition refers to semantic acquisition, not the physical one. And because the object of management is documentary heritage, the cooperation between documentary heritage institutions has to be a prerequisite condition. Lastly, it cannot only documenting what already happened, it can documenting what is happening in the current society. 'Whole-of-society approach', as an appraisal method, is a way to identify social components based on social theories. The approach, as an acquisition method, is targeting digital recording, which includes 'digitized' heritage and 'born-digital' heritage. And it makes possible to the semantic acquisition of documentary heritage based on the data linking by mapping identified social components as metadata component and establishing them into linked open data. This study pointed out that it is hard to realize documentation of the society based on domestic appraisal system since the purpose is limited to selection. To overcome this limitation, we suggest a guideline applied with 'Whole-of-society approach'.