• The Journal of the Korea Contents Association
• /
• v.17 no.9
• /
• pp.173-183
• /
• 2017

In this research, analysis based on VR journalism outlet the New York Times' was carried out. The image analysis of was done through the frames of angle, shot (size, length, movement), and limited user-directed interaction (point, sound). The result of this is as follows. Firstly, the direction was done using a basis of normal and low angles. Secondly, it was able to be confirmed that the shooting was done in order by medium, full, and long shot. Thirdly, with regard to the length of the shot, most direction was done through long takes. Fourthly, most images came to consist of fixed shots. Lastly, this is limited user-directed interaction. This may be separated into 2 aspects: sound, and movement of the independent free agent. Through these, interaction was guided through free point of view concerning realistic situations to point of view guidance and users. This research may be referred to as foundational research for the further advancement of in-depth discussion pertaining to VR journalism.

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.141-148
• /
• 2021

The mainstream tool for software education for elementary students is Educational Programming Language. It is essential for upper graders to advance from EPL to text based programming language. However, many students experience difficulty in adopting to this change since Python is run in English. Python is an actively used TPL. This study focuses on developing an education program to facilitate learning Python for Korean speaking students. We have extracted the necessary reserved words needed for data analysis in Python. Then we replaced the extracted words into Korean terms that could be understood in elementary level. The replaced terms were matched on one-to-one correspondence with reserved words used in Python. This devised program would assist students in experiencing data analysis with Python. We expect that this education program will be applied effectively as a basic resource to learn TPL.

• Journal of the Korea Computer Industry Society
• /
• v.3 no.3
• /
• pp.271-282
• /
• 2002

HTML, a very ordinary language for making web pages, as a restricted ability to share information. XML is what we call ‘extension mark-up language’. It is being watched with keen interest for the communication and saving of information. Information represented in XML provides more accuracy and a higher-speed of reference after the process of being implication. For that reason, an instrument which can convert existing general text documents into XML is in great demand. In this thesis, I will describe an algorithm for converting general text documents into XML and create a system to implement this algorithm.

• Annual Conference on Human and Language Technology
• /
• 2022.10a
• /
• pp.219-224
• /
• 2022

최근 딥러닝이 상식 정보를 추론하지 못하거나, 해석 불가능하다는 한계점을 보완하기 위해 지식 그래프를 기반으로 자연어 텍스트를 생성하는 연구가 중요하게 수행되고 있다. 그러나 이를 위해서 대량의 지식 그래프와 이에 대응되는 문장쌍이 요구되는데, 이를 구축하는 데는 시간과 비용이 많이 소요되는 한계점이 존재한다. 또한 하나의 그래프에 다수의 문장을 생성할 수 있기에 구축자 별로 품질 차이가 발생하게 되고, 데이터 균등성에 문제가 발생하게 된다. 이에 본 논문은 공개된 지식 그래프인 디비피디아를 활용하여 전문가의 도움 없이 자동으로 데이터를 쉽고 빠르게 구축하는 방법론을 제안한다. 이를 기반으로 KoBART와 mBART, mT5와 같은 한국어를 포함한 대용량 언어모델을 활용하여 문장 생성 실험을 진행하였다. 실험 결과 mBART를 활용하여 미세 조정 학습을 진행한 모델이 좋은 성능을 보였고, 자연스러운 문장을 생성하는데 효과적임을 확인하였다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2023.07a
• /
• pp.387-388
• /
• 2023

본 논문에서는 인공지능(AI) 체험부터 초중등, 대학 및 평생교육에서 필요한 광범위한 응용과 활용을 할 수 있는 라이브러리를 디지털북 형태로 지원하며, 블록과 텍스트 코딩의 장점을 취합해 입문자들이 쉽고 재미있게 SW·AI 융합 교육을 할 수 있는 플랫폼을 구현하였다. 플랫폼은 웹어셈블리 기반의 파이오다이드를 통해 웹 브라우저에서 파이썬 코딩을 가능하게 하고 복잡한 설치과정 없이 쉽게 이용이 가능하다. 다양한 LMS와 연동이 가능하도록 API를 제공하며, Drag & Fill 블록으로 입문자가 코딩에 겪는 어려움 중 하나인 많은 양의 함수와 파라미터 사용법의 어려움을 해소하였다. 플랫폼은 블록으로 코딩하여 문법의 어려움, 오탈자, 오류 등을 줄이는 동시에 블록에서 생성되는 파이썬 텍스트 코드로 입문자가 텍스트 코드에 익숙해질 수 있는 경험을 제공한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.05a
• /
• pp.368-369
• /
• 2023

대화 데이터 기반 광고 추천은 광고 마케팅에서 고객 맞춤형 광고 제공, 마케팅 효과 극대화 등을 위한 중요한 기술로 주목받고 있다. 본 논문에서는 모바일 인스턴스 메신저인 카카오톡 대화창에서 발생한 텍스트 데이터를 기반으로 대화 내용을 분석하여 대화 주제별 적절한 광고 키워드를 제안한다. 이를 위해 주제별 대화 내용을 미용, 식음료, 상거래로 세분하고 KoNLPy 의 Okt 를 이용하여 텍스트 전처리를 수행하고 키워드별로 빈도수를 뽑아 워드 클라우드를 제시한다. 또한, 잠재 디리클레 할당(Latent Dirichlet Allocation, LDA)을 기반으로 대화 주제를 세분화한 뒤 라벨링을 통해 주제별 대화 키워드를 분석한다. 실험 결과, 대화 주제를 온라인 쇼핑, 헤어, 뷰티 관리, 음식으로 나눌 수 있었으며, 토픽별 상위 키워드를 Word2Vec 을 통해 특정 단어와 유사한 키워드를 도출하여 적절한 광고 키워드를 제시할 수 있었다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2018.05a
• /
• pp.460-461
• /
• 2018

The traditional recommendation system is developed on the assumption that users behave independently, and have problem of readability and efficiency are inferior due to simply sort products or lack of function for associate product attributes with user's taste. To solve this problem in this study we propose a system that provides user customized information that the analysis of the unstructured review data with the purchase histories of users processed with meaningful information after crawling product review data using text mining with R. This allows to help user make decisions can be provided only necessary information without analyze massive amounts of products review data.

• Journal of The Korean Association of Information Education
• /
• v.22 no.3
• /
• pp.357-366
• /
• 2018

The Code Block Based Educational Programming Language(EPL) is the mainstream tool for software education for elementary students. However, Code Block Based EPL has limitations in scalability, even though there are many advantages as an introductory tool for software education. In this study, we searched the approach of SW education using Python, which is a text-based programming language actively used in real industrial field. We developed a learning program and model using Python and applied it to the sixth grade elementary school students for 10 hours. As a result, we found that the robot-based Python learning model had a significant effect on improving students' thinking skills and confirmed the applicability of text-based programming language to elementary school students.

• Knowledge Management Research
• /
• v.25 no.1
• /
• pp.155-172
• /
• 2024

This study investigates the effectiveness of foreign language learning through diverse treatments in virtual settings, particularly by differentiating virtual environments with three textual enhancement techniques. A 2 × 3 mixed-factorial design was used, treating virtual environments as within-subject factors and textual enhancement techniques as between-subject factors. Participants experienced two videos, each in different virtual learning environments with one of the random textual enhancement techniques. The results showed that the interaction between different virtual environments and textual enhancement techniques had a statistically significant impact on presence among groups. In examining main effects of virtual environments, significant differences were observed in flow and attitude toward pre-post learning. Also, main effects of textual enhancements notably influenced flow, intention to use, learning satisfaction, and learning confidence. This study highlights the potential of Metaverse in foreign language learning, suggesting that learner experiences and effects vary with different virtual environments.

• Journal of The Korean Association For Science Education
• /
• v.27 no.5
• /
• pp.367-378
• /
• 2007

The purpose of this study is to investigate the features of science language in Earth science textbooks and Earth science research articles. We examined two Earth science textbooks and two Earth science articles using the taxonomy of scientific words, the text structure analysis of explanations, the analysis of conjunctive relations and reasoning, and the function of conjunction. The results showed that school science language revealed in Earth science textbooks had high proportion of naming words and the text structures in which definition/exemplification structure and description structure were dominant. Also, internal relations that showed additional arrangement rather than logical inference, were predominant in Earth science textbooks. However, scientists' science language revealed in the Earth science articles had more proportion of process words and concept words than the Earth science textbooks and the schematic structure of explanation texts, such as orientation - implication sequence - conclusion. In addition, the text structures in each sentences of implication -sequence showed cause/effect or problem-solving after description structures. Also each sentences expressed causal or abductive reasoning through the internal relations using verbs or adverbial inflection. It is necessary that we bridge the gap between the two languages for students' authentic use of science language. For the bridging, we propose "interlanguage", which mediates between school science language and scientists' language.