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Domain Analysis on Electrical Engineering in Korea by Author Bibliographic Coupling Analysis (저자서지결합분석에 의한 국내 전기공학 분야 지적구조에 관한 연구)

  • Byun, Ji-Hye;Chung, Eun-Kyung
    • Journal of Information Management
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    • v.42 no.4
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    • pp.75-94
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    • 2011
  • The purpose of this study is to analyze the domain on the field of Electrical Engineering in Korea by the author bibliographic coupling analysis. The data set contains a total of 2,157 articles from two core journals with 23,411 citation data from 2005 to 2009 published in two prestigious journals. In order to achieve the purpose of this study, MDS analysis, clustering analysis and network analysis were used to examine core subject areas. In addition, the centrality analysis in the weighted networks was used to explore the key authors in this field such as the top global centrality authors and the top local centrality authors. The findings of this study can be utilized to guide the current research trend and author network for collection development and information services in the field of Electrical Engineering.

Acoustic model training using self-attention for low-resource speech recognition (저자원 환경의 음성인식을 위한 자기 주의를 활용한 음향 모델 학습)

  • Park, Hosung;Kim, Ji-Hwan
    • The Journal of the Acoustical Society of Korea
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    • v.39 no.5
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    • pp.483-489
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    • 2020
  • This paper proposes acoustic model training using self-attention for low-resource speech recognition. In low-resource speech recognition, it is difficult for acoustic model to distinguish certain phones. For example, plosive /d/ and /t/, plosive /g/ and /k/ and affricate /z/ and /ch/. In acoustic model training, the self-attention generates attention weights from the deep neural network model. In this study, these weights handle the similar pronunciation error for low-resource speech recognition. When the proposed method was applied to Time Delay Neural Network-Output gate Projected Gated Recurrent Unit (TNDD-OPGRU)-based acoustic model, the proposed model showed a 5.98 % word error rate. It shows absolute improvement of 0.74 % compared with TDNN-OPGRU model.

Comparative Analysis of Publication Patterns in Sciences and Humanities: Based on Bibliometric Data from Korea Citation Index (과학 및 인문학 분야 출판 패턴의 비교 분석 : 한국학술지인용색인의 서지 데이터를 기반으로)

  • Yang, Kiduk
    • Journal of Korean Library and Information Science Society
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    • v.50 no.3
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    • pp.23-47
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    • 2019
  • In order to ascertain disciplinary differences in publication patterns that can help improve assessment of research performance in Korea, we analyzed the bibliometric data of six disciplines from Korea Citation Index. Results showed differences in research size, competitiveness, productivity, impact, and collaboration among disciplines. Disciplines in science were the largest in terms of author and institution followed by humanities and social science, but humanities produced the most publications per author, followed by social science and science disciplines. Sociology publications received most citation per paper but humanities received most citations per author, which was greatly influenced by the number of co-authors per paper. Distribution of author counts per paper varied widely across disciplines. Humanities were dominated by single-author publications, whereas the majority of publications in sciences were co-authored. The study also highlighted differences in citation lag time and illustrated differences in distribution and impact of core authors and institutions across disciplines.

Digital Transformation of Education Brought by COVID-19 Pandemic

  • Kim, Hye-jin
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.6
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    • pp.183-193
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    • 2021
  • In this paper, the author found and analyzed the problems caused by the change of traditional teaching methods to online in classrooms and laboratories. Looking at the analysis of major problems, first, there were various technical problems, including not all environments and facilities being connected to the Internet. Second, the effectiveness of virtual classes, which were suddenly switched online, could also be questioned. Finally, in the face of a new environment, the stress of teachers to adapt rapidly to the new teaching methodology was a problem. The author proposed digital transformation as a way to address these problems. The author analyzed educational changes, learning modalities and various technical tools, and various tasks to enable digital transformation. First, the author investigated, analyzed, and presented the factors necessary to efficiently operate the classroom environment that will change to online. Next, the author analyzed the factors and problems needed to make the students' classes reliable and efficient, and proposed solutions. Finally, the author pointed out the problem that during online lectures, the responsibility of learning is excessively transferred from teachers to students, and proposed a solution to this problem. Subsequently, the author proposed future studies.