• Proceedings of the Korean Nuclear Society Conference
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• 1997.10a
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• pp.759-764
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• 1997

본 논문에서는 영광 3,4호기의 초기 부분충수 운전중 정지냉각 상실 사건에 대하여 확률론적 안전성평가(Probabilistic Safety Assessment; PSA)를 수행하였다. 1단계 PSA 결과인 노심손상빈도에 크게 영향을 끼치는 인간행위는 THERP(technique for human error rate prediction)를 사용하여 평가하였고, 사고경위는 KIRAP(KAERI integrated reliability analysis code package)을 이용하여 정량화하였다. 영광 3,4호기의 부분충수 운전중 정지냉각 상실 사건에 대한 예비적인 PSA 결과, 노심손상 빈도는 1.43E-6로 평가되었고 노심손상 빈도에 주요하게 기여하는 것은 원자로 냉각재 보충에 대한 운전원의 진단 실패로 나타났다. 노심손상빈도를 감소하는 방안의 하나는 운전원의 진단오류 확률을 낮추기 위해 노심손상까지의 운전원 여유시간을 확장하는 것이다. 그러나 보다 구체적인 결과는 분석에 필요한 여러 가지 자료들을 검토하고 PSA를 다시 수행해야 얻을 수 있을 것으로 판단된다.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.183-203
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• 2018

News articles are the most suitable medium for examining the events occurring at home and abroad. Especially, as the development of information and communication technology has brought various kinds of online news media, the news about the events occurring in society has increased greatly. So automatically summarizing key events from massive amounts of news data will help users to look at many of the events at a glance. In addition, if we build and provide an event network based on the relevance of events, it will be able to greatly help the reader in understanding the current events. In this study, we propose a method for extracting event networks from large news text data. To this end, we first collected Korean political and social articles from March 2016 to March 2017, and integrated the synonyms by leaving only meaningful words through preprocessing using NPMI and Word2Vec. Latent Dirichlet allocation (LDA) topic modeling was used to calculate the subject distribution by date and to find the peak of the subject distribution and to detect the event. A total of 32 topics were extracted from the topic modeling, and the point of occurrence of the event was deduced by looking at the point at which each subject distribution surged. As a result, a total of 85 events were detected, but the final 16 events were filtered and presented using the Gaussian smoothing technique. We also calculated the relevance score between events detected to construct the event network. Using the cosine coefficient between the co-occurred events, we calculated the relevance between the events and connected the events to construct the event network. Finally, we set up the event network by setting each event to each vertex and the relevance score between events to the vertices connecting the vertices. The event network constructed in our methods helped us to sort out major events in the political and social fields in Korea that occurred in the last one year in chronological order and at the same time identify which events are related to certain events. Our approach differs from existing event detection methods in that LDA topic modeling makes it possible to easily analyze large amounts of data and to identify the relevance of events that were difficult to detect in existing event detection. We applied various text mining techniques and Word2vec technique in the text preprocessing to improve the accuracy of the extraction of proper nouns and synthetic nouns, which have been difficult in analyzing existing Korean texts, can be found. In this study, the detection and network configuration techniques of the event have the following advantages in practical application. First, LDA topic modeling, which is unsupervised learning, can easily analyze subject and topic words and distribution from huge amount of data. Also, by using the date information of the collected news articles, it is possible to express the distribution by topic in a time series. Second, we can find out the connection of events in the form of present and summarized form by calculating relevance score and constructing event network by using simultaneous occurrence of topics that are difficult to grasp in existing event detection. It can be seen from the fact that the inter-event relevance-based event network proposed in this study was actually constructed in order of occurrence time. It is also possible to identify what happened as a starting point for a series of events through the event network. The limitation of this study is that the characteristics of LDA topic modeling have different results according to the initial parameters and the number of subjects, and the subject and event name of the analysis result should be given by the subjective judgment of the researcher. Also, since each topic is assumed to be exclusive and independent, it does not take into account the relevance between themes. Subsequent studies need to calculate the relevance between events that are not covered in this study or those that belong to the same subject.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.673-683
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• 2018

The accident of Sewol Ferry is a disaster that provoked serious mental shock to the Korean people way beyond the level of generally-perceived catastrophic aftermaths. The purpose of this study is to examine the relationship between vicarious disaster experiences through media and post-traumatic stress(PTSD) symptoms of media users related to the accident. The responses of 417 people consisted of college, middle and high school students, and adults in a metropolitan area were collected for 12 days from the April 28, 2014 right after the accident. The results showed that the level of PTSD of social media users were higher than that of traditional media (newspapers or TV news) users on the accident. Also, the amount of use of disaster news information and social media revealed positive correlations with PTSD. Implications of this study are to demonstrate possible mechanisms of psychological trauma mediated by media on a disaster and its empirical data and to facilitate further research.

• Convergence Security Journal
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• v.22 no.3
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• pp.41-55
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• 2022

As the importance of technology protection is emphasized day by day, various protection measures are being carried out to protect technology. But attempts to leak technology are continuing. As an alternative to this, stronger punishment is socially required for technology leakage crimes. In response to these social demands, the standard for punishment has been steadily raised. Legislative bills containing additional reinforcement are still pending in the National Assembly. However, in order to substantially enhance the deterrence against crime, it is not enough to strengthen the punishment standards. The effect can only be fully exercised when the certainty of punishment increases. Therefore, this paper focused on seeking ways to increase the certainty of punishment under the current system rather than the reinforcement of the punishment itself. The purpose of this study was to derive the reason why the innocence rate in technology leakage criminal cases is higher than that of general criminal cases by analyzing cases and causes of innocent cases in technology leakage criminal cases. Based on this, I discussed improvement considerations to reduce unfair acquittal cases.

• Korean Journal of Culture and Social Issue
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• v.11 no.1
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• pp.85-108
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• 2005

This study was to conceptualize Palzha and investigate Palzha inference as mode of self-view. In general, people would like to attribute their unhappy and unfortunate life events or histories to Palzha which is given by the supernatural being. According to analysis of interviews and open-ended responses concerning on Plazha, Palzha indicated 'luck', 'uncontrollable situation', or 'fate' given by the supernatural being. In study 2, we conducted an analysis of the relationship between locus of control belief and Palzha attribution. More having external control belief, more tending to attributing the rugged life events or histories, and unexpected fortunate events to Palzha. Consequently, Palzha as mode of self-view on everyday events or life-events indicated it is likely to be another dimension of attribution on negative as well as positive life events in Korean culture.

• Journal of the Korea Society for Simulation
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• v.32 no.1
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• pp.1-11
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• 2023

Smart factory environments and digital twin environments are established, and today's factories accumulate vast amounts of production data and are managed in real time as visualized results suitable for user convenience. Production simulation techniques are in the spotlight as a way to prevent delays in delivery and predict factory volatility in situations where production schedule planning becomes difficult due to the diversification of production products. With the development of the digital twin environment, new packages are developed and functions of existing packages are updated, making it difficult for users to make decisions on which packages to use to develop simulations. Therefore, in this study, the concept of Discrete Event Simulation (DES) performed based on discrete events is defined, and the characteristics of various simulation packages were compared and analyzed. To this end, studies that solved real problems using discrete event simulation software for 10 years were analyzed, and three types of software used by the majority were identified. In addition, each package was classified by simulation technique, type of industry, subject of simulation, country of use, etc., and analysis results on the characteristics and usage of DES software were provided. The results of this study provide a basis for selection to companies and users who have difficulty in selecting discrete event simulation package in the future, and it is judged that they will be used as basic data.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.64-75
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• 2014

This study has attempted to explore the audience's visual attention about the subtitles types of CATV entertainment program. To achieve this, this research has measured the dwell time and average fixation data through the eye-tracking test and analysed the reason of particular visual attention by in-depth interview. According to the eye-tracking research findings, four types of subtitles(character metaphor, character metonymy, event metaphor, event metonymy) were measured the highest dwell time and average fixation time. Also, according to in-depth interview, visual attention was clearly turned up that event metonymy constructs the conflicts between characters and overstates the trip place romantically. This results means that staffs of intensify the reality and visual pleasure through event metonymic subtitles.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.477-489
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• 2021

COVID-19 has spread seriously around the world in 2020 and it is still significantly affecting our whole daily life. Currently, the whole world is still undergoing the pandemic and South Korea is no exception to it. During the pandemic, South Korea had several events that prevented or accelerated its spread. To establish the prevention policies for infectious diseases, it is very important to evaluate the intervention effect of such events. The susceptible-infected-removed (SIR) model is often used to describe the dynamic behavior of the spread of infectious diseases through ordinary differential equations. However, the SIR model is a deterministic model without considering the uncertainty of observed data. To consider the uncertainty in the SIR model, the Bayesian approach can be employed, and this approach allows us to evaluate the intervention effects by time-varying functions of the infection rate in the SIR model. In this study, we describe the time trend of the spread of COVID-19 in South Korea and investigate the intervention effects for the events using the stochastic SIR model based on the Bayesian approach.

• Korean Journal of Social Welfare Studies
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• v.48 no.2
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• pp.71-95
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• 2017

This study aims (1) to identify whether real terms of imprisonment for sexual offenders against children are different between the first trial and appeal trial in 16 cases and (2) to assess which sentencing factors such as history of sexual crime of perpetrator, forgiveness of children, regretfulness of perpetrator, power of perpetrator, and relationship of perpetrator and victim influence sentencing period of imprisonment in the first and appeal trials, respectively. This study used cases which were prosecuted for sexual crimes against children since the protection act on the children and juveniles from sexual abuse was enacted in 2000. The target cases of the study include 8 first trials and 8 appeal cases which were appealed to the Supreme Court between 2000 and 2015. Result condition is the real term of imprisonment. Cause conditions include sentencing factors such as history of sexual crime, regretfulness, and power of perpetrator, forgiveness of child, and relationship between offender and victim. We employed Qualitative Comparative Analysis (QCA) for data analysis. We found that there are sentences in the first trial with lower terms than appeal trial regarding child sexual crimes. In addition, we found that (1) power of perpetrator and forgiveness of victim significantly influenced sentencing periods of imprisonment at levels of courts; (2) cause condition considered as comparatively more important in the first trial was regretfulness of perpetrator(but not in the appeal trial); and (3) relationship of perpetrator and child was not important in sentencing for sexual crime at both levels of trials.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10c
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• pp.756-758
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• 1999

본 논문에서는 최적의 성능을 갖는 병렬 프로그램을 개발하는데 필수 도구인 성능가시화기를 이식성, 확장성 그리고 효율성을 고려해 설계 및 구현한 PnP 스타일의 성능 가시화기에 대하여 기술한다. 본 가시화기는 기존 가시화기의 문제점인 수정 및 변용에의 어려움을 해결하기 위하여 독립된 계층구조인 인스트루멘테이션층, 인터페이스층, 가시화층으로 구성함으로써 확장성 및 이식성을 갖도록 하였다. 인스트루멘테이션층은 사건(event)을 포획하기 위해 개발된 라이브러리인 ECL(Event Capture Library)로 구성되며, 인터페이스층은 인스트루멘테이션층과 가시화층간에 확장성 있는 문제중심 인터페이스를 제공하기 위해 개발된 사건 기술 언어 및 Java 문제중심 엑세스 라이브러리로 구성되었다. 그리고 PnP 스타일의 성능 가시화기를 설계함으로써 뷰와 필터의 추가 및 수정이 용이하도록 가시화층을 구현하였다. 이렇게 구현된 성능가시화기는 독립된 도구로 사용될 수 있을 뿐 아니라 병렬 프로그래밍, 디버깅, 그리고 성능 분석이 통합된 프로그램 개발환경 구축의 핵심도구로서 활용될 수 있을 것이다.