• Title/Summary/Keyword: 학술지 초록

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Analysis of Research Topic Trend in Library and Information Science Using Dynamic Topic Modeling (다이나믹토픽모델링을 활용한 문헌정보학 분야의 토픽 변화 분석)

  • Kim, SeonWook;Yang, Kiduk;Lee, HyeKyung
    • Journal of Korean Library and Information Science Society
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    • v.53 no.2
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    • pp.265-284
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    • 2022
  • This study applied dynamic topic modeling on titles and abstracts of 55,442 academic papers in 85 SSCI journals from 2001 to 2020 in order to analyze research topic trend in library and information science. The analysis revealed four major themes of library management, informatics, library service, and library system in 10 major topics. The results also showed subtopics in information science and library management topic areas to change over time, while library service remained stable over 20 years to establish itself as a robust topic. In addition, medical information emerged as a significant sub-topic of informatics, thus exemplifying the interdisciplinary characteristics of library and information science field.

Automatic Classification of Academic Articles Using BERT Model Based on Deep Learning (딥러닝 기반의 BERT 모델을 활용한 학술 문헌 자동분류)

  • Kim, In hu;Kim, Seong hee
    • Journal of the Korean Society for information Management
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    • v.39 no.3
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    • pp.293-310
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    • 2022
  • In this study, we analyzed the performance of the BERT-based document classification model by automatically classifying documents in the field of library and information science based on the KoBERT. For this purpose, abstract data of 5,357 papers in 7 journals in the field of library and information science were analyzed and evaluated for any difference in the performance of automatic classification according to the size of the learned data. As performance evaluation scales, precision, recall, and F scale were used. As a result of the evaluation, subject areas with large amounts of data and high quality showed a high level of performance with an F scale of 90% or more. On the other hand, if the data quality was low, the similarity with other subject areas was high, and there were few features that were clearly distinguished thematically, a meaningful high-level performance evaluation could not be derived. This study is expected to be used as basic data to suggest the possibility of using a pre-trained learning model to automatically classify the academic documents.

Analysis of Recent Research Trend in the Mining Industry and Rock Engineering in North Korea (북한의 광업 및 암반공학 분야 최신 연구동향 분석)

  • Kang, Il-Seok;Park, Young-Sang;Song, Jae-Joon
    • Tunnel and Underground Space
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    • v.30 no.1
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    • pp.29-38
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    • 2020
  • Recent research trend of North Korean mining and rock engineering in the past 10 years was analyzed by a literature review of mining and rock engineering papers published in North Korean major mining journals, 'mining engineering', 'geological and geographical science' and 'technology innovation' published in 2008-2017. Basic database was established by organizing bibliographic information and abstract data of research papers in each journal. For each journal, paper submission trend classified by research field was analyzed using the basic database. And further study was conducted to the papers which showed distinguishing methodology and result, to analyze the trend of North Korean mining and rock engineering. The literature study showed a recent trend of quantification and automation in mining and rock engineering researches in North Korea, which seems due to recent changes in North Korea's science and technology policy and deterioration of the mining conditions. The results of this study can be applied in the feasibility studies of North Korea's mineral resource development projects. Future inter-Korean technical cooperation and site survey on North Korean field can secure complement the reliability of this study.

A Length and Width Extraction of Concrete Surface Cracks using Image Processing Technique (영상 처리 기법을 이용한 콘크리트 표면 균열의 폭 및 길이 추출)

  • Her Joo-Yong;Kim Kyung-Ran;Lim Eun-Kyung;Ahn Sang-Ho;Kim Kwang-Baek
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.346-351
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    • 2006
  • 본 논문은 콘크리트 표면 균열 영상에서 균열의 특징을 추출하기 위해, 영상 처리 기법을 적용하여 균열의 특징(길이, 폭, 방향)을 자동으로 추출 및 처리 할 수 있는 기법을 제안한다. 본 논문에서 적용된 영상 처리 기법으로는 균열 영상의 빛을 보정하기 위하여 모폴로지 기법인 채움(Closing)기법을 적용한다. 균열의 경계를 명확히 추출하기 위하여 고주파 강화 필터링을 적용한 후, 8가지 색상(검정, 빨강, 파랑, 초록, 노랑, 자주, 주황, 하늘)으로 명암 값을 분류하고 그 중 빈도수가 가장 높은 색상을 가진 명암 값을 제거한 후에 추출한 영상을 이진화한다. 이진화된 영상에서 콘크리트 표면 균열의 실거리 측정을 위한 임의의 선을 제거하기 위하여 위치 히스토그램을 적용하여 임의의 선을 제거한다. 임의의 선이 제거된 균열 영상에서 $5\times5$ 마스크를 적용하여 균열을 확대시키고, 3차례에 걸쳐 잡음 제거연산을 수행하여 균열의 후보 영역을 선택한 후, 후보 영역으로부터 특정 균열들을 추출한다. 추출된 특정 균열을 모폴로지 기법인 제거(Opening) 연산을 수행하여 균열의 특징이 일정하게 유지되게 하고 미세하게 끊어진 부분을 보정하여 균열의 특징(길이, 방향, 폭)을 측정한다. 실제 콘크리트 표면 균열영상을 대상으로 실험한 결과, 특정 균열이 효율적으로 추출되었고, 특정 균열의 길이, 방향, 폭의 등이 정확히 추출 및 계산되었다.

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Disaster situation and damage status DB design and mobile disaster site information collection app development (재난상황·피해현황 DB설계 및 모바일 재난현장 정보수집 앱 개발)

  • Jang, Cho Rok;Cho, Jung Yun;Song, Ju Il;Jang, Moon Yup
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.237-237
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    • 2021
  • 2020년의 경우 6월부터 8월 중순까지 54일 동안 전국에 걸쳐 대규모 폭우가 집중적으로 내리면서 산사태·침수·저수지 붕괴 등이 산발적으로 발생하였다. 특히 집중호우와 같은 풍수해의 경우 매년 반복적으로 발생하는 재난유형으로서 안전점검과 같은 대비를 위한 활동을 실시하고 있음에도 피해가 꾸준히 발생하고 있는 실정이다. 재난으로 인한 반복적인 피해로 인해 국가의 재난대응에 관한 관심이 점차 증가하고 있다. 현재 이러한 재난대응을 위하여 재난유형별로 위기관리 매뉴얼을 구축하였으며, 13개 협업기능을 통해 효율적인 재난대응을 실시하고자 정부 및 각 지자체, 유관기관 등이 노력하고 있는 실정이다. 그러나 복합적이고 큰 규모의 재난이 발생하면 현장과 상황실 간에 정보공유가 제대로 이루어지지 않는다는 문제가 반복적으로 발생하고 있다. 재난이 발생하면 지자체에서 재난대응 및 상황관리를 우선적으로 실시하고 있으나 재난현장에 파견한 현장담당자의 경우 잦은 보직이동으로 재난현장에서 필요로 하는 정보와 전달해야하는 필수정보에 대해 정확히 알지 못해 재난현장에서 수집해야할 정보들을 제대로 파악하지 못하는 등 재난대응에 있어 어려움을 겪기도 한다. 또한 현장대응 담당자들이 초기 대응에 집중 할 수 있는 정보전달 체계가 존재하지 않아 상황실에서 재난현장으로 필요로 하는 정보를 전송하는 현장대응 지원체계가 미비한 상황이다. 이에 본 연구에서는 재난현장과 상황실 간 원활한 소통뿐 만 아니라 재난현장담당자들이 재난현장 및 피해현황 정보 등을 신속하게 수집할 수 있도록 재난현장에서 필수적으로 수집되어야하는 정보 DB(Database)를 설계하였으며, 이를 바탕으로 모바일 기반 재난현장 정보수집 앱을 개발하여 현장대응 지원체계의 기초를 제시하고자 하였다.

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Analysis of Research Trends in Korea on Nursing Leadership Research Using Topic Modeling (토픽모델링을 활용한 간호리더십 관련 국내 연구동향 분석)

  • Heejang Yun
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.2
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    • pp.451-457
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    • 2023
  • This study aims to identify the domestic research trends on nursing leadership and provide basic data that can be used for nursing leadership-related research and intervention development in Korea. To extract topics related to nursing leadership from 335 papers published in domestic academic journals from January 2012 to December 2021, the topic modeling technique was used. Keywords were extracted from abstracts, and literature searches were conducted in five domestic databases including DBpia, KISS, RISS, KM base, and Nanet. The study found that academic papers on nursing leadership have been steadily increasing, with self-leadership, self-efficacy, and education being identified as major topics. In addition, since self-leadership was the most frequently appearing keyword among the types of leadership, the study concluded that research on various forms of leadership should be more actively conducted. These research results are expected to contribute to enhancing understanding of nursing leadership in Korea. This study provides a new perspective on understanding the research trends on nursing leadership in Korea and analyzed the knowledge structure of domestic nursing leadership research, which is meaningful.

Analysis of the Abstracts of Cancer Related Articles Published from 1990 to 1996 in Korea (1990년부터 1996년까지 국내 일부 의학연구 학술지에 발표된 암 관련 논문 초록의 분석)

  • Kim, Chang-Yup;Lee, Young-Sung;Kang, Chul-Whan;Yoo, Keun-Young;Kang, Gil-Won;Ha, Beom-Man;Khang, Young-Ho
    • Journal of Preventive Medicine and Public Health
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    • v.34 no.3
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    • pp.200-210
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    • 2001
  • Objective : To explore the status of cancer research in the Republic of Korea. Methods : Thirty-eight medical journals, published in Korea between 1990 and 1996, were reviewed for abstracts relating to cancer research. Of the 5,899 eligible abstracts related to cancer, 4,732 were collected and evaluated. Results : Including first author and first two co-authors, a total of 7,427 authors were identified. Those who published an average of one or more article per one year were defined as cancer researchers for this study. This group, however, accounted for a small proportion of the total (3.1%). Analysis of the selected abstracts showed that the study goals in more than half focused on pathophysiologic mechanisms. Studies that were designed to use causal relationships such as cohort studies and randomized controlled trials were rare. A greater number of analytic and experimental studies were found in abstracts published by the cancer researcher group. More advanced study designs that explored causal relationships and analytic procedures were found in abstracts published later than those abstracts published from 1990 to 1992. Conclusion : Our findings show that researchers who published more articles adopted more advanced study designs. This study provides primary data that can be used to compare the status of cancer research in future studies.

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The Study on the Applying Methods for EBLIP in Korean Librarianship (실무자의 근거출판 활성화를 통한 근거중심 문헌정보실무의 국내 적용 방안)

  • Pyo, Soon-Hee
    • Journal of the Korean Society for Library and Information Science
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    • v.44 no.3
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    • pp.219-239
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    • 2010
  • EBLIP seeks to improve library practice by utilizing the best available evidence in conjunction with a pragmatic perspective developed from working experiences in librarianship. The purpose of this study is to apply the evidence-based library and information practice(EBLIP) in Korean librarianship with encouraging the practitioners to publish in their workplace. Content analysis on papers accepted for publication among five LIS journals and focus group interview were performed in order to investigate the contexts and perceptions on the publishing activities of practicing librarians. While the proportion of papers that librarians wrote was calculated at 26 percent among the sample, the percentage of papers with librarians as a single author was only 9.2. Significant obstacles for librarians to publish papers due to organizational level were observed. The author suggests organizational support and better framework for communicating research based on practice such as publication of evidence-based practical journal and the adoption of structural abstract. The findings reinforce the importance of teaching rigorous research methods in workplace.

Analysis of the Knowledge Structure of Research related to Reality Shock Experienced by New Graduate Nurses using Text Network Analysis (텍스트네트워크분석을 활용한 신규간호사가 경험하는 현실충격 관련 연구의 지식구조 분석)

  • Heejang Yun
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.463-469
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    • 2023
  • The aim of this study is to provide basic data that can contribute to improving successful clinical adaptation and reducing turnover of new graduate nurses by analyzing research related to reality shock experienced by new graduate nurses using text network analysis. The topics of reality shock experienced by new graduate nurses were extracted from 115 papers published in domestic and foreign journals from January 2002 to December 2021. Articles were retrieved from 6 databases (Korean DB: DBpia, KISS, RISS /International DB: Web of science, Springer, Scopus). Keywords were extracted from the abstract and organized using semantic morphemes. Network analysis and topic modeling for subject knowledge structure analysis were performed using NetMiner 4.5.0 program. The core keywords included 'new graduate nurses', 'reality shock', 'transition', 'student nurse', 'experience', 'practice', 'work environment', 'role', 'care' and 'education'. In recent articles on reality shock experienced by new graduate nurses, three major topics were extracted by LDA (Latent Dirichlet Allocation) techniques: 'turnover', 'work environment', 'experience of transition'. Based on this research, the necessity of interventional research that can effectively reduce the reality shock experienced by new graduate nurses and successfully help clinical adaptation is suggested.

A Study on the International Research Trend in Education Development focused on Text Network Analysis(2002~2017) (교육개발협력에 관한 국제 학술지 연구 동향 고찰 : 텍스트 네트워크 분석을 중심으로(2002~2017))

  • Kim, Sang-Mi;Kim, Young-Hwan;Cho, Won-Gyeum
    • Korean Journal of Comparative Education
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    • v.28 no.1
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    • pp.1-24
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    • 2018
  • The objective of the article is to find the research trends and the main traits presented in the keywords on abstracts of research articles of "International Journal of Education Development" from 2002 to 2017. To do this, Text Network Analysis(TNA) was applied targeting 966 papers on the journal and the major research outcomes are as follows. First, the frequency analysis on the keywords showed that the keywords like Administration of education program, Schools and instruction, Regional public administration, Educational support service, Elementary education, and Elementary and secondary school were analyzed more than 100 times and also high in centrality degree. Second, the analysis results of the keywords presented in those research articles by development goal periods showed that several new keywords like Elementary education, Elementary and secondary school, Education quality, Secondary education, Educational planning have emerged frequently after SDGs and these keywords showed high in their centrality analysis. Third, the analysis on education level showed that the keywords like Elementary education, Administration of education program, School children were high in frequency and centrality degree in Elementary level. In secondary level, Schools and instruction, Administration of education program, Academic achievement were high, and in high level, college and university was high, respectively.