• 디지털융복합연구
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• 제15권6호
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• pp.415-423
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• 2017

본 연구는 국내 패션 디자인 분야의 연구동향을 파악하기 위해 패션 디자인 분야에 초점을 맞춘 국내 대표적인 학술지인 "한국패션디자인학회지"의 2001년 창간호부터 2015년까지 발표 논문의 주제어와 초록을 수집하여 텍스트 마이닝과 토픽모델링 기법을 수행하였다. 우선 텍스트 마이닝을 통해 총 338편 논문의 주제어와 초록에 사용된 7137개 단어 중 30회 이상의 출현빈도를 가지는 183개의 핵심 용어들을 도출하였다. 그 중 압도적으로 높은 빈도를 보인 핵심 용어는 'fashion'과 'design'이었다. 다음으로 토픽모델링 기법 중 LDA 알고리즘을 사용하여 20개의 연구주제를 도출하였는데 대부분 기존 패션 디자인 분야의 연구주제와 연결할 수 있었지만 패션 브랜드 마케팅 및 디지털 기술 등 최신 트렌드를 반영한 다양한 연구주제들이 추가적으로 발견되었다. 마지막으로 연구주제별로 연도별 트렌드 분석을 통해 상승세와 하강세에 있는 연구주제를 구분하였다. 이러한 국내 패션 디자인 분야의 연구주제 및 트렌드 추이 파악은 지금까지의 국내패션 디자인 연구 내용과 향후 방향성을 이해하는데 유용할 것이다.

• Journal of Information Processing Systems
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• 제18권3호
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• pp.359-373
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• 2022

The new crown pneumonia (COVID-19) has become a global epidemic. The disease has spread to most countries and poses a challenge to the healthcare system. Contact tracing technology is an effective way for public health to deal with diseases. Many experts have studied traditional contact tracing and developed digital contact tracking. In order to better understand the field of contact tracking, it is necessary to analyze the development of contact tracking in the field of computer science by bibliometrics. The purpose of this research is to use literature statistics and topic analysis to characterize the research literature of contact tracking in the field of computer science, to gain an in-depth understanding of the literature development status of contact tracking and the trend of hot topics over the past decade. In order to achieve the aforementioned goals, we conducted a bibliometric study in this paper. The study uses data collected from the Scopus database. Which contains more than 10,000 articles, including more than 2,000 in the field of computer science. For popular trends, we use VOSviewer for visual analysis. The number of contact tracking documents published annually in the computer field is increasing. At present, there are 200 to 300 papers published in the field of computer science each year, and the number of uncited papers is relatively small. Through the visual analysis of the paper, we found that the hot topic of contact tracking has changed from the past "mathematical model," "biological model," and "algorithm" to the current "digital contact tracking," "privacy," and "mobile application" and other topics. Contact tracking is currently a hot research topic. By selecting the most cited papers, we can display high-quality literature in contact tracking and characterize the development trend of the entire field through topic analysis. This is useful for students and researchers new to field of contact tracking ai well as for presenting our results to other subjects. Especially when comprehensive research cannot be conducted due to time constraints or lack of precise research questions, our research analysis can provide value for it.

• 전자통신동향분석
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• 제35권2호
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• pp.89-103
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• 2020

Knowledge of the technology, characteristics, and market trends of the latest CPUs used in smartphones, computers, and supercomputers and the research trends of leading US university experts gives an edge to policy-makers, business executives, large investors, etc. To this end, we describe three topics in detail at a level that can help educate the non-majors to the extent possible. Topic 1 comprises the design and manufacture of a CPU and the technology and trends of the smartphone SoC. Topic 2 comprises the technology and trends of the x86 CPU and supercomputer, and Topic 3 involves an optical network chip that has the potential to emerge as a major semiconductor chip. We also describe three techniques and experiments that can be used to implement the optical network chip.

• 전자통신동향분석
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• 제35권2호
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• pp.120-136
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• 2020

Knowledge of the technology, characteristics, and market trends of the latest CPUs used in smartphones, computers, and supercomputers and the research trends of leading US university experts gives an edge to policy-makers, business executives, large investors, etc. To this end, we describe three topics in detail at a level that can help educate the non-majors to the extent possible. Topic 1 comprises the design and manufacture of a CPU and the technology and trends of the smartphone SoC. Topic 2 comprises the technology and trends of the x86 CPU and supercomputer, and Topic 3 involves an optical network chip that has the potential to emerge as a major semiconductor chip. We also describe three techniques and experiments that can be used to implement the optical network chip.

• 전자통신동향분석
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• 제35권2호
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• pp.104-119
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• 2020

Knowledge of the technology, characteristics, and market trends of the latest CPUs used in smartphones, computers, and supercomputers and the research trends of leading US university experts gives an edge to policy-makers, business executives, large investors, etc. To this end, we describe three topics in detail at a level that can help educate the non-majors to the extent possible. Topic 1 comprises the design and manufacture of a CPU and the technology and trends of the smartphone SoC. Topic 2 comprises the technology and trends of the x86 CPU and supercomputer, and Topic 3 involves an optical network chip that has the potential to emerge as a major semiconductor chip. We also describe three techniques and experiments that can be used to implement the optical network chip.

• International journal of advanced smart convergence
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• 제10권3호
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• pp.72-80
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• 2021

Metaverse is an immersive 3D virtual environment, a true virtual artificial community in which avatars act as the user's alter ego and interact with each other. If we do not manage the hype for the metaverse, which has recently been receiving a surge in interest, the metaverse will fail to cross the chasm. In this study, to provide stakeholders with insights for the successful introduction and growth of the 3D immersive next-generation virtual world, metaverse, we analyzed user-side interest, media-side interest, and research-side interest. For this purpose, in this study, search traffic, news frequency and topic, and research article frequency and topic were analyzed. The methodology and results of this study are expected to provide insight for the stable success of metaverse transformation and the coexistence of the real world and the virtual world through hyper-connection and hyper-convergence.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제14권5호
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• pp.507-511
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• 2008

과학기술 분야는 매우 빠른 발전 속도를 보이며 세부 분야 간 융 복합 현상이 빈번하게 일어나는 특징을 가지고 있다. 과학기술정보 말뭉치로부터 상기 특성을 분석해 내는 작업은 연구 주제 추이를 분석하고 주제 간 연관 관계를 파악하기 위해 필요하다. 본 연구는 과학기술 분야 - 특히 정보기술(Information Technology) 분야 - 에서 광범위하게 활용되고 있는 Citeseer 말뭉치로부터 추출된 주제를 이용하여 다양한 주제 분석을 수행하는 방안을 보이는 것을 목표로 한다. 특히, 연구개발 전주기 지원 시스템인 OntoFrame에서 주제가 어떠한 역할을 할 수 있는지 사례를 통해 실증하고자 한다.

• Journal of Information Processing Systems
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• 제19권1호
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• pp.55-66
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• 2023

Community portraits can deeply explore the characteristics of community structures and describe the personalized knowledge needs of community users, which is of great practical significance for improving community recommendation services, as well as the accuracy of resource push. The current community portraits generally have the problems of weak perception of interest characteristics and low degree of integration of topic information. To resolve this problem, the reader community portrait method based on the thematic and timeliness characteristics of interest labels (UIT) is proposed. First, community opinion leaders are identified based on multi-feature calculations, and then the topic features of their texts are identified based on the LDA topic model. On this basis, a semantic mapping including "reader community-opinion leader-text content" was established. Second, the readers' interest similarity of the labels was dynamically updated, and two kinds of tag parameters were integrated, namely, the intensity of interest labels and the stability of interest labels. Finally, the similarity distance between the opinion leader and the topic of interest was calculated to obtain the dynamic interest set of the opinion leaders. Experimental analysis was conducted on real data from the Douban reading community. The experimental results show that the UIT has the highest average F value (0.551) compared to the state-of-the-art approaches, which indicates that the UIT has better performance in the smooth time dimension.

• Educational Technology International
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• 제25권1호
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• pp.1-25
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• 2024

This study aims to analyze the impact of learners' usability perceptions of topic modeling-based visual feedback and generative AI interpretation on reflection levels in online discussions. To achieve this, we asked 17 students in the Department of Korean language education to conduct an online discussion. Text data generated from online discussions were analyzed using LDA topic modeling to extract five clusters of related words, or topics. These topics were then visualized in a network format, and interpretive feedback was constructed through generative AI. The feedback was presented on a website and rated highly for usability, with learners valuing its information usefulness. Furthermore, an analysis using the non-parametric Mann-Whitney U test based on levels of usability perception revealed that the group with higher perceived usability demonstrated higher levels of reflection. This suggests that well-designed and user-friendly visual feedback can significantly promote deeper reflection and engagement in online discussions. The integration of topic modeling and generative AI can enhance visual feedback in online discussions, reinforcing the efficacy of such feedback in learning. The research highlights the educational significance of these design strategies and clears a path for innovation.

• 디지털융복합연구
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• 제19권5호
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• pp.31-39
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• 2021

본 연구는 국내외 자율주행자동차 연구개발과정에서 나타나고 있는 다양한 이슈를 파악하기 위해 자율주행자동차 연구개발 관련 영문 뉴스 기사 1,870개를 수집하고 데이터 전처리 과정을 거쳐 토픽 모델링을 수행하였다. 토픽모델링 결과 20개의 토픽을 추출하였으며, 토픽에 대한 명명작업을 수행하고 의미를 해석하였다. 도출된 토픽을 투입, 활동, 산출, 성과의 연구개발과정에 대응시켜 자율주행자동차 연구개발사업 논리모형을 제시하였다. 본 연구의 분석결과는 국내외 자율주행자동차 연구개발사업의 추진 상황을 정확하게 판단하고 빠르게 변화하고 있는 기술개발에 대비할 수 있는 기초자료로 활용할 수 있을 것이다.