• 전자공학회논문지C
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• 제36C권10호
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• pp.75-80
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• 1999

고품질의 서비스를 보장할 수 있는 멀티미디어 응용 소프트웨어를 효과적으로 개발하기 위해서는 연속 미디어의 동기화뿐만 아니라 비연속 미디어를 포함하는 동기화를 표현할 수 있는 멀티미디어 동기화 모델이 요구된다. 본 논문에서는 사용자의 이벤트 발생에 의해서 변화되는 동적 키 매체라는 특별한 객체 제어기를 갖게 된다. 이러한 이벤트는 발생시간과 주기를 예측할 수 없는 미디어가 된다. 이벤트 발생은 오디오뿐만 아니라 텍스트, 이미지도 키 매체로 선택하여 수행하는 역할을 한다 객체 제어기는 다음 전이에 정보를 전달하는 역할을 한다. 제안한 모델은 최대 허용 지터값과 최대 허용 스큐값을 재생시간에 포함하여 재생률을 향상시켰고, 시뮬레이션을 통해 제시한 방법의 타당성을 검증하였다.

• 한국콘텐츠학회논문지
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• 제11권2호
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• pp.113-125
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• 2011

본 논문에서는 미디어 아트 콘텐츠 저작도구인 ECAS(Exhibition Contents Authoring System)와 그 개발 방법을 소개한다. ECAS는 기존의 저작도구가 가진 텍스트 기반의 프로그래밍 방식의 문제점을 개선하기 위해 그래픽 사용자 인터페이스를 기반으로 개발되었으며, 그래픽 사용자 인터페이스의 효율적인 구현을 위해 Eclipse가 제공하는 GMF(Graphical Modeling Framework) 기법을 사용하였다. ECAS의 속도 및 성능 향상을 위해 SWT(Standard Widget Toolkit), JIT(Just-In-Time)와 같은 속도 향상 기법들을 활용하였다. 얼굴 검출 기능, 사운드 효과 기능, 하드웨어 연동 기능 등의 주요 기능들을 중심으로 기존의 저작도구와 작품 구현 비교를 통해 ECAS의 편리성과 효율성을 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권8호
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• pp.2732-2748
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• 2021

In post-COVID-19 pandemic era, students' learning effects and experience may sharply decrease when teaching is transferred from offline to online. Several tools suitable for online teaching have been developed to guarantee and promote students' learning effects. However, they cannot fully consider teacher-student interaction in online teaching. To figure out this issue, this paper proposes integrated media platform-based virtual office hours implementation for online teaching. Specifically, an integrated media platform (IMP) is first constructed. Then, virtual office hours (VOH) is implemented based on the IMP, aiming at increasing student-teacher interactions. For evaluating the effectiveness of this scheme, 140 undergraduate students using IMP are divided into one control group and three experimental groups that respectively contain text, voice and video modes. The experiment results indicate that applying VOH in the IMP can improve students' online presence and test scores. Furthermore, students' participating modes during VOH implementation can largely affect their degree of presence, which can be well classified by using principal component analysis. The implication of this work is that IMP-based VOH is an effective and sustainable tool to be continuously implemented even when the COVID-19 pandemic period ends.

• 지역사회간호학회지
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• 제30권2호
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• pp.150-160
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• 2019

Purpose: This study was conducted to investigate the relationship between short message service and social media use, and sexual intercourse of high school students in Cambodia. Methods: Four hundred and eighty-three high school students from three schools in rural provinces were interviewed with structured questionnaires. Results: Sexual intercourse was found significantly more frequent among male students than among female students (p=.001), among alcohol drinkers than among non-drinkers (p<.001), among those who were not taking pictures with mobile phones than among those who were (p=.045), and among those who were exchanging SMS between boyfriend and girlfriend than among those who were not (p=.006). The students who were sending SMS by mobile phones were 5.83 times as likely to have sexual intercourse as their counterparts (p=.020), who were taking pictures with mobile phone were 0.04 times as likely as those who were not (p=.045) and the odds ratio was 15.19 times as high in alcohol drinkers as in non-drinkers (p=.001). Conclusions: Efforts should be made to encourage positive and effective use of social media among adolescents to maintain their sexual health.

• 아태비즈니스연구
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• 제12권2호
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• pp.161-174
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• 2021

Purpose - The purpose of this study was to examine the recent popular consumption trend, the hocance phenomenon, using social media big data. The study intended to present practical directions and marketing measures for the recovery and growth of the hotel industry after COVID-19 pandemic. Design/methodology/approach - Big data analysis has been used in various fields, and in this study, it was used to understand the hocance phenomenon. For three years from January 1, 2018 to December 31, 2020, we collected text data including the keyword 'hocance' from the blog and cafe of NAVER and Daum. TEXTOM and UCINET 6 were used to collect and analyze the data. Findings - According to the results of analysis, the words such as 'hocance', 'hotel', 'Seoul', 'travel', 'swimming pool', 'Incheon', 'breakfast', 'child' and 'friend' were identified with high frequency. The results of CONCOR analysis showed similar results in all three years. It has been confirmed that 'swimming pool', 'breakfast', 'child' and 'friend' are important when deciding on the hocance package. Research implications or Originality - The study was differentiated in that it used social media big data instead of traditional research methods. Furthermore, it reflected social phenomena as a consumption trend so there was practical value in establishing marketing strategies for the tourism and hotel industry.

• 문화기술의 융합
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• 제9권1호
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• pp.321-326
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• 2023

상호문화주의는 다문화시대 문화차이에 대한 이해와 더불어 문화 간 차이에서 발생할 수 있는 다양한 갈등을 해소하기 위한 철학을 제시한다. 다문화주의가 다양한 문화의 공존에 초점을 맞추고 있다면, 상호문화주의는 상이한 문화 사이의 활발한 만남과 상호작용을 추구한다. 우리는 상호문화교육을 위한 미디어리터러시 사례로서 흥행 드라마 <사랑의 불시착>을 연구한다. 드라마에 나타난 문화차이와 상호문화주의에 대해 논의해보고, 구체적으로 문화 간 대화의 양상을 분석해본다. 이를 통해 우리는 본 드라마가 상호문화교육의 효과적인 미디어 텍스트임을 고찰해보고자 한다.

• 무역학회지
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• 제46권4호
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• pp.61-76
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• 2021

This study focuses on three logistics-related news (Logistics Newspaper, Korea Shipping Gadget, and Korea Shipping Newspaper) in order to present changes in logistics issues, centering on Corona 19, which has recently had the greatest impact in the world. For data collection, two-year news articles in 2019 and 2020 (title, article, content, date, article classification, article URL) were collected through web crawling (using Python's BeautifulSoup, requests module) on the homepages of three representative logistics-related media companies. As for the data analysis methods, fundamental statistical analysis, Latent Dirichlet Allocation (LDA) for topic modeling, and Scattertext were performed. The analysis results were as follows. First, among the three news media related to logistics, the Korea Shipping Newspaper was carrying out the most active media activities. Second, through topic modeling with LDA, eight logistics-related topics were identified, and keywords and significant issues of each topic were presented. Third, the keywords were visually expressed through Scattertext. This is the first study to present changes in the logistics field, focusing on articles from representative logistics-related media in 2019 and 2020. In particular, 2019 and 2020 can be divided into before and after the outbreak of Corona 19, which has had a great impact not only on the logistics field but also on our lives as a whole. For future work, a multi-faceted approach is required, such as comparative studies of logistics issues between countries or presenting implications based on long-term time-series articles.

• 한국IT서비스학회지
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• 제14권1호
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• pp.237-249
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• 2015

The volume of unstructured text data generated by various social media has been increasing rapidly; therefore, use of text mining to support decision making has also been increasing. Especially, issue Clustering-determining a new relation with various issues through clustering-has gained attention from many researchers. However, traditional issue clustering methods can only be performed based on the co-occurrence frequency of issue keywords in many documents. Therefore, an association between issues that have a low co-occurrence frequency cannot be discovered using traditional issue clustering methods, even if those issues are strongly related in other perspectives. Therefore, issue clustering that fits each of criteria needs to be performed by the perspective of analysis and the purpose of use. In this study, a multi-dimensional issue clustering is proposed to overcome the limitation of traditional issue clustering. We assert, specifically in this study, that issue clustering should be performed for a particular purpose. We analyze the results of applying our methodology to two specific perspectives on issue clustering, (i) consumers' interests, and (ii) related R&D terms.

• 한국콘텐츠학회논문지
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• 제14권11호
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• pp.60-67
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• 2014

예술의 역사에 있어 문자와 형상이 어우러지는 형태는 고대 예술의 여러 장르에서 발견된다. 특히 불교예술의 도상은 문자와 동등한 의미전달 수단으로서 교리를 선전하는 중요한 도구였다. 이는 원래의 문학적 형식이 회화적 형식으로 소통체계가 전환됨을 말하며, 사유방식도 다른 기호적 체계를 가진다. 문자와 형상의 상호 전환은 현대 영상매체의 미적개념을 해석하는데 매우 중요하다. 그러므로, 본 논문은 형상적 사유를 통한 현대 대중매체의 시각예술에 대한 해석의 실마리를 고대 돈황벽화 <구생록본생도>에 나타난 도상적 서사와 애니메이션 <구색록>의 영상이미지 표현과의 비교분석을 통해 살펴보았다.

• 한국안전학회지
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• 제32권3호
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• pp.83-89
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• 2017

A new technology has provided the nation, industry, society, and people with innovative and useful functions. National economy and society has been improved through this technology innovation. Despite the benefit of technology innovation, however, since technology society was sufficiently mature, the unintended side effect and negative impact of new technology on society and human beings has been highlighted. Thus, it is important to investigate a risk of new technology for the future society. Recently, the risks of the new technology are being suggested through a large amount of social data such as news articles and report contents. These data can be used as effective sources for quantitatively and systematically forecasting social risks of new technology. In this respect, this paper aims to propose a data-driven process for forecasting and assessing social risks of future new technology using the text mining, 4M(Man, Machine, Media, and Management) framework, and analytic hierarchy process (AHP). First, social risk factors are forecasted based on social risk keywords extracted by the text mining of documents containing social risk information of new technology. Second, the social risk keywords are classified into the 4M causes to identify the degree of risk causes. Finally, the AHP is applied to assess impact of social risk factors and 4M causes based on social risk keywords. The proposed approach is helpful for technology engineers, safety managers, and policy makers to consider social risks of new technology and their impact.