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Application of the Self-Calibrating Effective Drought Index: A Case Study of the Korean Peninsula (1777-2020) (자가교정 유효가뭄지수의 적용: 한반도에 대한 사례연구 (1777-2020))

  • Park, Chang-Kyun;Kam, Jonghun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.109-109
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    • 2022
  • 유효가뭄지수(Effective Drought Index, EDI)는 현재 기후에 대한 과거, 미래 기후에서의 상대적인 가뭄 특성 변화를 평가하기 위해 최근 30년간의 일 강수량 자료를 고정된 기준치로 사용한다. 이에 따라 장기간에 걸친 다양한 기후변화에 대한 인간 사회의 적응을 고려하며 가뭄의 영향을 평가할 때에는 한계점이 있다. 이 연구에서는 EDI의 기능을 확장하기 위해 자가교정 유효가뭄지수(self-calibrating EDI, scEDI)를 제안하고 그 성능을 평가하였다. 기존 EDI와는 다르게 scEDI는 관측시점을 기준으로 30년씩 이동하며 시간에 따라 변화하는 기후값을 기준치로 사용한다. 우리나라 서울관측소에서 1777년부터 2020년까지 누적된 244년간의 일 강수량 자료를 바탕으로, scEDI와 3개의 서로 다른 기후 기준치를 가진 기존 EDI를 계산하여 평가된 가뭄들의 특성을 비교하였다. 그 결과, 기후 기준치에 따라 서로 다른 가뭄 특성들을 보인 기존 EDI와 달리, scEDI는 변화하는 기후를 고려하여 분석기간에 걸쳐 가뭄의 특성을 일관되게 평가할 수 있는 것으로 밝혀졌다. 1807년부터 1907년까지 가뭄과 관련된 조선왕조실록의 기록과 scEDI가 평가한 과거 가뭄 사례들과 비교해 본 결과, scEDI가 탐지한 가뭄 사례들과 실제 조선왕조실록의 가뭄 기록이 비교적 잘 일치하여, scEDI가 과거의 사회적 가뭄을 잘 탐지하는 것으로 나타났다. 또한, 최근의 사회적 가뭄에 대한 scEDI의 탐지 능력을 평가하기 위해 구글과 네이버에서 2016년부터 2018년까지 수집된 가뭄 관련 검색어 소셜 빅데이터를 사용하여서 비교하였다. 그 결과, 과거와 마찬가지로 현재에서도 scEDI가 평가한 가뭄의 변화와 소셜 빅데이터에서 나타난 가뭄에 대한 사회적 반응이 잘 일치하는 것으로 나타났다.

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A method for metadata extraction from a collection of records using Named Entity Recognition in Natural Language Processing (자연어 처리의 개체명 인식을 통한 기록집합체의 메타데이터 추출 방안)

  • Chiho Song
    • Journal of Korean Society of Archives and Records Management
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    • v.24 no.2
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    • pp.65-88
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    • 2024
  • This pilot study explores a method of extracting metadata values and descriptions from records using named entity recognition (NER), a technique in natural language processing (NLP), a subfield of artificial intelligence. The study focuses on handwritten records from the Guro Industrial Complex, produced during the 1960s and 1970s, comprising approximately 1,200 pages and 80,000 words. After the preprocessing process of the records, which included digitization, the study employed a publicly available language API based on Google's Bidirectional Encoder Representations from Transformers (BERT) language model to recognize entity names within the text. As a result, 173 names of people and 314 of organizations and institutions were extracted from the Guro Industrial Complex's past records. These extracted entities are expected to serve as direct search terms for accessing the contents of the records. Furthermore, the study identified challenges that arose when applying the theoretical methodology of NLP to real-world records consisting of semistructured text. It also presents potential solutions and implications to consider when addressing these issues.

Analysis of College Students' Use and Demand for Academic Information Portals: Focusing on ScienceON (대학생들의 학술정보 포털에 대한 이용 및 수요분석 - ScienceON을 중심으로 -)

  • Noh, Younghee;Wang, Dongho
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.1
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    • pp.47-65
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    • 2022
  • This study investigated college students' demand for academic information portals and conducted an improvement plan to help ScienceON become an eco-friendly portal for college students. To this end, an academic information portal similar to ScienceON was investigated and analyzed, and FGI interviews were conducted with college students to derive improvements based on the problems ScienceON felt by college students. The improvement measures proposed based on the research results are as follows. First, it is necessary to strengthen the integrated search function and instill confidence that college students can obtain all the information they want from ScienceON. Second, it is necessary to have UIs such as Google and Naver, which are preferred by college students, and improve the current hard design. Third, it is necessary to make ScienceON familiar by promoting it targeting lower grades of the university. Currently, college students belong to the MZ generation, and the MZ generation is expected to become a generation that forms a social core in the future, and related research on the MZ generation is increasing. Therefore, this study can be used as basic data for research on MZ generation, and in particular, it seems that it can be used as a reference for the demand for information search and services of MZ generation.

Study on the Analysis of National Paralympics by Utilizing Social Big Data Text Mining (소셜 빅데이터 텍스트 마이닝을 활용한 전국장애인체육대회 분석 연구)

  • Kim, Dae kyung;Lee, Hyun Su
    • 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.

Reviews of Radiation Protection and Shielding for Computed Tomography in Foreign Countries (외국의 컴퓨터 단층촬영 장치의 방어시설 문헌 조사)

  • Jahng, Geon-Ho;Yang, Dal-Mo;Sung, Dong-Wook;Lee, Kwang-Yong;Kim, Hyeog-Ju
    • Progress in Medical Physics
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    • v.19 no.4
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    • pp.276-284
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    • 2008
  • A computed tomography (CT) is a powerful system for the effectively fast and accurate diagnosis. The CT system, therefore, has used substantially and developed for improving the performance over the past decade, resulting in growing concerns over the radiation dose from the CT. Advanced CT techniques, such as a multidetector row CT scanner and dual energy or dual source CT, have led to new clinical applications that could result in further increases of radiation does for both patients and workers. The objective of this study was to review the international guidelines of the shielding requirements for a CT facility required for a new installation or when modifying an existing one. We used Google Search Engine to search the following keywords: computed tomography, CT regulation or shield or protection, dual energy or dual source CT, multidetector CT, CT radiation protection, and regulatory or legislation or regulation CT. In addition, we searched some special websites, that were provided for sources of radiation protection, shielding, and regulation, RSNA, AAPM, FDA, NIH, RCR, ICRP, IRPA, ICRP, IAEA, WHO (See in Table 1 for full explanations of the abbreviations). We finally summarized results of the investigated materials for each country. The shielding requirement of the CT room design was very well documented in the countries of Canada, United States of America, and United Kingdom. The wall thickness of the CT room could be obtained by the iso-exposure contour or the point source method. Most of documents provided by international organizations were explained in importance of radiation reduction in patients and workers. However, there were no directly-related documents of shielding and patient exposure dose for the dual energy CT system. Based international guidelines, the guideline of the CT room shielding and radiation reduction in patients and workers should be specified for all kinds of CT systems, included in the dual energy CT. We proposed some possible strategies in this paper.

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Professional Baseball Viewing Culture Survey According to Corona 19 using Social Network Big Data (소셜네트워크 빅데이터를 활용한 코로나 19에 따른 프로야구 관람문화조사)

  • Kim, Gi-Tak
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.6
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    • pp.139-150
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    • 2020
  • The data processing of this study focuses on the textom and social media words about three areas: 'Corona 19 and professional baseball', 'Corona 19 and professional baseball', and 'Corona 19 and professional sports' The data was collected and refined in a web environment and then processed in batch, and the Ucinet6 program was used to visualize it. Specifically, the web environment was collected using Naver, Daum, and Google's channels, and was summarized into 30 words through expert meetings among the extracted words and used in the final study. 30 extracted words were visualized through a matrix, and a CONCOR analysis was performed to identify clusters of similarity and commonality of words. As a result of analysis, the clusters related to Corona 19 and Pro Baseball were composed of one central cluster and five peripheral clusters, and it was found that the contents related to the opening of professional baseball according to the corona 19 wave were mainly searched. The cluster related to Corona 19 and unrelated to professional baseball consisted of one central cluster and five peripheral clusters, and it was found that the keyword of the position of professional baseball related to the professional baseball game according to Corona 19 was mainly searched. Corona 19 and the cluster related to professional sports consisted of one central cluster and five peripheral clusters, and it was found that the keywords related to the start of professional sports according to the aftermath of Corona 19 were mainly searched.

A Study on the Library of Congress's Subject Headings as an Information Access Point (정보의 접근점으로서 미국의회도서관 주제명 표목에 관한 연구)

  • Chung, Yeon-Kyoung
    • Journal of the Korean Society for Library and Information Science
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    • v.44 no.2
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    • pp.51-72
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    • 2010
  • The purpose of this study is to explore usefulness of the Library of Congress Subject Headings(LCSH)for librarians as an information access point. Sixty four librarians at the University of Washington(UW)and 67 librarians from the Council on East Asian Libraries(CEAL) participated through web surveys about LCSH and 9 librarians from UW and 10 librarians from CEAL joined in-depth interviews and e-mail correspondences. It was concluded that LCSH was very useful for finding other related materials as a subject access point. However, there were two necessary improvements recommended for the LCSH. First of all, in aspect of terminology, subject headings should be more familiar to the public with currency and show clear definitions and relationships. Second, with regard to the structure of LCSH, it should have simplicity, ease of use, and consistency when using combinations of subject headings. Since many other countries are using or adapting LCSH, its effect can be very strong. Therefore, the meaning of "Tok Island (Korea)" as well as diplomatic and scholarly efforts with sensing movements of other countries.

Analysis of Research Trends of Cyber Physical System(CPS) in the Manufacturing Industry (제조 분야 사이버 물리 시스템(CPS) 연구 동향 분석)

  • Kang, Hyung-Muck;Hwang, Kyung-Tae
    • Informatization Policy
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    • v.25 no.3
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    • pp.3-28
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    • 2018
  • The purpose of this study is to analyze the research trends and present future research directions in the field of Cyber Physical System (CPS), a key element in the 4th Industrial Revolution, Industry 4.0, and Smart Manufacturing that are currently promoted as important innovation agenda both at home and abroad. In this study, (1) the concepts of industry 4.0, smart manufacturing and CPS are summarized; (2) analysis criteria of these fields are established; and 3) analysis results are presented and future research direction is proposed. 74 overseas and 8 domestic literature on manufacturing CPS from 2013 to 2017 are identified through 'Google Scholar Search'. Major results of the analysis are summarized as follows: (1) research on a common methodology and framework for the manufacturing CPS needs to be done based on the analysis of the existing methodologies and frameworks of various perspectives; (2) in order to improve the maturity of the manufacturing CPS, it is necessary to study actual deployment and operations of CPS, including the existing systems; (3) it is necessary to study the diagnostic methodology that can evaluate manufacturing CPS and suggest improvement strategy; and (4) as for the detailed model and tool, it is necessary to reinforce research on SCM production planning and human-machine collaboration while considering the characteristics of CPS.

A Study on the Change of the View of Love using Text Mining and Sentiment Analysis (텍스트 마이닝과 감성 분석을 통한 연애관의 변화 연구 : <공항가는 길>과 <이번 주 아내가 바람을 핍니다>를 중심으로)

  • Kim, Kyung-Ae;Ku, Jin-Hee
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.285-294
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    • 2017
  • In this study, change of the view of love was analyzed by big data analysis in TV drama of married person's love. Two dramas were selected for analysis with opposite theme of love story. The sympathy of audience for the one month period from the end of the drama was analyzed by text mining and sentiment analysis. In particular, changes in the meaning of home meaning are identified. Home is not 'a place where a husband and wife play a social role', but 'a place where they can share real sympathy and one can be happy'. If individuals are not happy, they need to break their homes. In this study, the current divorce rate and the question regarding the matter should be considered. But based on Google Trends, in Korean society, interest in marriage were still higher than romance. It means that people prefer to 'a love to get marriage' in Korean modern society, than 'love for love affair'. It seems to be reflection of cognition change, marriage should be based on true love. This study is expected to be applied to the study of trend change through social media.

Investigating the Impact of Corporate Social Responsibility on Firm's Short- and Long-Term Performance with Online Text Analytics (온라인 텍스트 분석을 통해 추정한 기업의 사회적책임 성과가 기업의 단기적 장기적 성과에 미치는 영향 분석)

  • Lee, Heesung;Jin, Yunseon;Kwon, Ohbyung
    • Journal of Intelligence and Information Systems
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    • v.22 no.2
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    • pp.13-31
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    • 2016
  • Despite expectations of short- or long-term positive effects of corporate social responsibility (CSR) on firm performance, the results of existing research into this relationship are inconsistent partly due to lack of clarity about subordinate CSR concepts. In this study, keywords related to CSR concepts are extracted from atypical sources, such as newspapers, using text mining techniques to examine the relationship between CSR and firm performance. The analysis is based on data from the New York Times, a major news publication, and Google Scholar. We used text analytics to process unstructured data collected from open online documents to explore the effects of CSR on short- and long-term firm performance. The results suggest that the CSR index computed using the proposed text - online media - analytics predicts long-term performance very well compared to short-term performance in the absence of any internal firm reports or CSR institute reports. Our study demonstrates the text analytics are useful for evaluating CSR performance with respect to convenience and cost effectiveness.