• 한국체육학회지인문사회과학편
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• v.55 no.6
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• pp.801-810
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• 2016

The purpose of the study was to conduct a text mining examining keywords related to the National Paralympics and provide the fundamental information that would be used to change perception of people without disabilities toward disabilities and to promote the social participation of people with and without disabilities in the National Paralympics. Social big data regarding the National Paralympics were retrieved from news articles and blog postings identified by search engines, Naver, Daum, and Google. The data were then analysed using R-3.3.1 Version Program. The analysing techniques were cloud analysis, correlation analysis and social network analysis. The results were as follows. First, news were mainly related to game results, sports events, team participation and host avenue of the 33rd ~ 36th National Paralympics. Second, search results about the 33rd ~ 36th National Paralympics between Naver, Daum, and Google were similar to one another. Thirds, the keywrods, National Paralympics, sports for the disabled, and sports, demonstrated a high close centrality. Further, degree centrality and betweenness centrality were associated in the keywords such as sports for all, participation, research, development, sports-disabled, research-disabled, sports for all-participation, disabled-participation, sports for all-disabled, and host-paralympics.

• The Bulletin of The Korean Astronomical Society
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• v.45 no.1
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• pp.56.1-56.1
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• 2020

한국의 고문헌 중에는 다양한 고천문 기록들이 한문 형태로 존재하며, 이를 학술적으로 활용하기 위해서는 전문 번역가 투입에 따른 많은 비용과 시간이 요구된다. 이에 인공신경망 기계학습에 의한 인공지능 번역기를 개발하여 비록 초벌 번역 수준일지라도 문장 형태의 한문을 한글로 자동번역해 주는 학술 도구를 소개하고자 한다. 이 자동번역기는 한국천문연구원이 한국정보화진흥원이 주관하는 2019년도 Information and Communication Technology 기반 공공서비스 촉진사업에 한국고전번역원과 공동 참여하여 개발 완료한 것이다. 이 연구는 고천문 도메인에 특화된 인공지능 기계학습용 데이터인 천문 고전 코퍼스를 구축하여 이를 기반으로 천문 고전 특화 자동번역 모델을 개발하고 번역 서비스하는 것을 목적으로 한다. 이를 위해 구축되는 시스템은 크게 세 가지이다. 첫째, 로그인이 필요 없이 누구나 웹 접속을 통해 사용이 가능한 클라우드 기반의 고문헌 자동번역 대국민서비스 시스템이다. 둘째, 참여 기관별로 구축된 코퍼스와 도메인 특화된 번역 모델의 생성 및 관리할 수 있는 클라우드 기반의 대기관 서비스 플랫폼 구축이다. 셋째, 개발된 자동번역 Applied Programmable Interface를 활용한 한국천문연구원 내 자체 서비스가 가능한 AITHA 시스템이다. 연구 결과로서 먼저 구축된 천문 고전 코퍼스 60,760건에 대한 샘플링 검수 결과는 품질 순도 99.9% 이상이다. 아울러 도출된 천문 고전 특화 번역 모델 총 20개 중 대표 모델에 대한 성능 평가 결과는 기계 번역 텍스트 품질 평가 알고리즘인 Bilingual Evaluation Understudy 평가에서 40.02점이며, 전문가에 의한 휴먼 평가에서 5.0 만점 중 4.05점이다. 이는 당초 연구 목표로 삼았던 초벌 번역 수준에 충분하며, 현재 개발된 시스템들은 자체 시험 운영 중이다. 이 연구는 특수 고문헌에 해당되는 고천문 기록들의 번역 장벽을 낮춰 관련 연구자들의 학술적 접근 및 다양한 연구에 도움을 줄 수 있다는 점에서 의의가 있다. 또한 고천문 분야가 인공지능 자동번역 확산 플랫폼 시범의 첫 케이스로써 추후 타 학문 분야 참여 시 시너지 효과도 기대해 볼 수 있다. 고문헌 자동번역기는 점차 더 많은 학습 데이터와 학습량이 쌓일수록 더 좋은 학술 도구로 진화할 것이다.

• Convergence Security Journal
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• v.23 no.2
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• pp.47-54
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• 2023

The global popularity of K-content(Korean Wave) has led to a continuous increase in copyright infringement cases involving domestic works, not only within the country but also overseas. In response to this trend, there is active research on technologies for detecting illegal distribution sites of domestic copyrighted materials, with recent studies utilizing the characteristics of domestic illegal distribution sites that often include a significant number of advertising banners. However, the application of detection techniques similar to those used domestically is limited for overseas illegal distribution sites. These sites may not include advertising banners or may have significantly fewer ads compared to domestic sites, making the application of detection technologies used domestically challenging. In this study, we propose a detection technique based on the similarity comparison of links and text trees, leveraging the characteristic of including illegal sharing posts and images of copyrighted materials in a similar hierarchical structure. Additionally, to accurately compare the similarity of large-scale trees composed of a massive number of links, we utilize Graph Neural Network (GNN). The experiments conducted in this study demonstrated a high accuracy rate of over 95% in classifying regular sites and sites involved in the illegal distribution of copyrighted materials. Applying this algorithm to automate the detection of illegal distribution sites is expected to enable swift responses to copyright infringements.

• Journal of the Korean Society for information Management
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• v.41 no.2
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• pp.97-130
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• 2024

The current debate in the academic community is on the criteria for predatory journals. Researchers are perplexed about what constitutes a predatory journal. The purpose of this study is to investigate how South Korean researchers discover and evaluate predatory journals. In order to achieve this, we collected 2,484 statements, comprising posts and comments, from Korean researcher communities, namely the Biological Research Information Center (BRIC), Hibrain.net, Phdkim.net, and the Scholarly Ecosystem Against Fake Publication Environment (SAFE). We divided the data into three primary categories-journals, publishers, and researchers-for the topic analysis. For each statement, we assigned 11 in-depth subtopic tags based on these categories. Six main points of contention emerged from the combinations of these sub-topic tags: (1) researchers' confusion about predatory journals and discussions about research performance; (2)(3) researchers' positive and negative perceptions of predatory journals; (4) researchers' evaluation criteria for journal quality and problems associated with the quality of Korean journals; (5) changes in publishing brought about by the introduction of open access (OA) and associated issues; and (6) discussions on broader issues within the academic ecosystem. By using a qualitative approach to examine how South Korean researchers view predatory journals, this study aims to advance basic knowledge of the discourse around them in the communities of domestic researchers.

• Journal of The Korean Association For Science Education
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• v.44 no.1
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• pp.39-55
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• 2024

This study aimed to examine research trends related to Natural Language Processing (NLP) in science education by analyzing 37 domestic and international documents that utilized NLP techniques in the field of science education from 2011 to September 2023. In particular, the study systematically analyzed the content, focusing on the main application areas of NLP techniques in science education, the role of teachers when utilizing NLP techniques, and a comparison of domestic and international perspectives. The analysis results are as follows: Firstly, it was confirmed that NLP techniques are significantly utilized in formative assessment, automatic scoring, literature review and classification, and pattern extraction in science education. Utilizing NLP in formative assessment allows for real-time analysis of students' learning processes and comprehension, reducing the burden on teachers' lessons and providing accurate, effective feedback to students. In automatic scoring, it contributes to the rapid and precise evaluation of students' responses. In literature review and classification using NLP, it helps to effectively analyze the topics and trends of research related to science education and student reports. It also helps to set future research directions. Utilizing NLP techniques in pattern extraction allows for effective analysis of commonalities or patterns in students' thoughts and responses. Secondly, the introduction of NLP techniques in science education has expanded the role of teachers from mere transmitters of knowledge to leaders who support and facilitate students' learning, requiring teachers to continuously develop their expertise. Thirdly, as domestic research on NLP is focused on literature review and classification, it is necessary to create an environment conducive to the easy collection of text data to diversify NLP research in Korea. Based on these analysis results, the study discussed ways to utilize NLP techniques in science education.

• Information Systems Review
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• v.25 no.2
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• pp.205-227
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• 2023

Recently, Virtual Human(VH) has begun to appear in various media, not only on social media, but also in advertisements, music sources, and dramas. Virtual human has become a primary marketing tool for companies, but there also exist concerns when the companies do not disclose the identities of virtual humans. Accordingly, it is necessary to examine users' responses toward content that features virtual humans. This study aimed to examine how the exposure of virtual humans in the content affects users' perceptions. Therefore, the study defined the concept of 'VH Disclosure(VHD)', referring to the exposure of the virtual human's identity, and explored the impact of VH disclosure on attitude toward the ad (Hedonism, Utilitarianism, and Interestingness) and source credibility (Trustworthiness and Expertise). The study conducted an experimental survey with 302 respondents. Regardless of when the ad featured a VH or a human, the results showed that there was no significant difference between users' attitudes and source credibility. The results revealed that it was more effective to disclose the VH in social media feeds than directly reveal the VH's identity in the content. Therefore, this study utilizes a new concept of 'VH Disclosure(VHD)' to enhance the understanding of VH and contributes to establishing marketing strategies optimized for consumers in the creation of virtual human-related content.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.2
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• pp.202-207
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• 2007

Ontology has many merits such as high expression power and extensibility etc. and there are some suggestion on development of ubiquitous environment using ontology. For collecting and analysing the context information in ubiquitous environment, we need a context-awareness system. For these reason, some context-awareness systems have been developed using ontology, but they have insufficient representation power of context information and are independent to domain. In this paper, we define the context type to improve the extensibility of context framework, and develop the context ontology adopting the defined contort type to represent or inference various context information. We define the ontology to be easily adopted the and domain. Also, we use SWRL to represent numerical formulas and Horn-Logic expression.

• Fashion & Textile Research Journal
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• v.14 no.4
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• pp.519-531
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• 2012

This study comprehends the various expressions of Lady Gaga's fashion style based on Craig Owens's Allegory theory. This study analyzed four application elements of Borrow, Site Specificity, Accumulate of Strategy, and Hybridization in addition, it studied all aspects of the aesthetic value of Lady GaGa (an influential popular culture icon). It was classified in the external representation of the fashion style for the aesthetic value. The results are summarized as follows: First, 'Borrow' of the singers of the 80's music and fashion style present from her elders and visual homage to shock artists. It influenced her fans with a difference in viewpoint for a star's fashion that subsequently resulted in a deformation of form, playful kitsch style, and mixed gender. Second, 'Site specificity' presents an extreme make over through an intentional and grotesques fashion style to extend physical territory and defenseless. The results remove stereotypes and reveal deconstructive performances. Third, 'Accumulate of strategy' simultaneously presents voluptuous beauty, futurism, and avant-garde style. This shows the countercultural tendency through the random repetition of fashion images and layerd coordination. Finally, 'Hybridization' presents multiful fashion style through a collaboration with world-famous designers and cosmetic brands. She expressed a diverse and complex fashion style composed of an art form that combines a high-tech cyborg image. The aesthetic values of Lady Gaga' fashion style are 'ambivalence virtuality', 'Transcendental mixed gender', 'plural textuality', and 'unexpected play culture'.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.413-418
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• 2006

개인용 미디어 단말로서 MP3 플레이어는 이제 음악 파일을 감상하기 위한 일상 생활에서 중요한 휴대 필수품이 되었으며 단순히 음악을 재생하는데 그치지 않고, 각종 정보들을 표시하기 위한 작은 화면이 부착되고 있으며 더 나아가 이미지 정보나 동영상을 표현할 수 있는 기능들이 추가 되고 있다. 이처럼 변화하는 멀티미디어 서비스에 발맞추어 MPEG 에서는 Multimedia Application Format (MAF) (ISO/IEC 23000) 라는 새로운 표준안을 제안하였다. MAF 표준안의 기본 방식은 산업 현장 및 사용자의 요구에 빠르게 부응하기 위해, 기존에 존재하는 표준안들을 결합시켜 새로운 멀티미디어 파일 포맷을 정립하였다. 그 첫 번째 결과물로서, 이미 널리 쓰이고 있는 MP3 파일 포맷에 새로운 기능을 추가하기 위한 Music Player MAF 포맷의 FDIS 가 제안되었다. Music Player MAF 는 MPEG-1 Audio Layer III(MP3) 와 MPEG-7 MDS 메타데이터 정보를 결합한 파일 포맷으로. 기존 ID3 태그에서 표현되는 정보 보다 훨씬 풍부한 메타데이터 정보와 더불어 선택적으로 하나의 JPEG 이미지를 포함한 형태로 이루어져 있다. 그러나, 현재의 파일 포맷은 시간이 고려되지 않은 하나의 JPEG 이미지만을 포함할 수 있기 때문에, 오늘날 사용자가 요구하는 다양한 멀티미디어 서비스를 제공하기에는 많은 한계점을 갖고 있다. 본 논문에서는 Music Player MAF FDIS 에 제안된 세가지 형태의 Music Player MAF 파일 포맷에 관해 기술 한다. 복수의 JPEG 이미지 및 텍스트를 저장하기 위하여 각각의 파일 포맷이 갖는 문제점을 언급하고 하나 이상의 JPEG 이미지와 자막 정보를 MP3 음악 정보와 동기화 시켜 추가 할 수 있는 기능을 추가를 제안한다. 또한 제안된 파일 포맷을 쉽게 생성할 수 있도록 기존의 XMT-O 스키마를 기반으로 MAF 를 위하여 새롭게 MAF XMT 스키마를 정의하고 정의된 스키마를 기반으로 구현된 Music Player MAF 의 저작툴과 제안된 확장 뮤직 플래이어 MAF 을 위한 재생툴을 구현한다.

• Journal of The Korean Association of Information Education
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• v.7 no.1
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• pp.1-10
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• 2003

Web provides a rich learning environment for learners mainly due to the hypertext technology and the high interactivity. It provides a learner-centered learning environment. In this environment, students are to develop their own paths in non-sequential and flexible ways according to their needs and their demands. However, in many cases students who use this environment are easily exposed to difficulties in their choices of learning paths, disorientation, and cognitive overload in the cyberspace. Consequently, they have trouble in maintaining their motivation and interest in their learning. This study presents the design and the use of 3D-based space navigation system in order to maintain student's interest in educational web contents.