• Title/Summary/Keyword: 연구자 평가

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A Case study of engineering comprehensive design subject incorporating convergence with art (예술과의 융합을 접목한 공학 종합설계 교과목 사례연구)

  • Huh, Wonwhoi
    • Journal of the Korea Convergence Society
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    • v.13 no.4
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    • pp.195-201
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    • 2022
  • The core of the Fourth Industrial revolution, the topic of the 21st century, lies in the convergence of various technologies that are developing to the cutting edge. Therefore, convergence education is essential to solve problems from various perspectives. Above all, in order to solve the complex problem arising from the contact point between humans and technology in the future society, it was considered that insight through a humanities and artistic approach was necessary. Now, universities are trying to run a multidisciplinary comprehensive design to adapt to the new digital environment. In this study, an operation case of an engineering comprehensive design subject incorporating art operated by a researcher was described. The researcher presented an art convergence curriculum in a comprehensive design subject by applying 1. problem recognition and definition, 2. idea derivation and evaluation, 3. project development, 4. presentation, and demonstration process operation methods. Through this study, it is meaningful that it presented a method of operating art convergence in engineering comprehensive design subjects by allowing students to attempt an artistic aesthetic and emotional approach to project development.

Investigation into Longitudinal Writing Development Using Linear Mixed Effects Model (선형 혼합 모형을 통해 살펴본 쓰기 능력의 장기적인 발전 양상 탐색)

  • Lee, Young-Ju
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.2
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    • pp.315-319
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    • 2022
  • This study investigates longitudinal writing development in terms of syntactic complexity using linear mixed effects (LME) model. This study employs essays written by four case study participants. Participants voluntarily wrote essays outside of the classroom and submitted the first and second drafts, after reflecting on the automated writing evaluation feedback (i.e., Criterion) every month over one year. A total of 48 first drafts were analyzed and syntactic complexity features were selected from Syntactic Complexity Analyzer. Results of LME showed that there was a significant positive linear relationship between time and mean length of T-unit and also between time and the ratio of dependent clauses to independent clauses, indicating that case study participants wrote longer T-units and also a higher proportion of dependent clauses over one year.

Oral Bacterial Genetic Testing using Big Data

  • Hee-Sun, Woo
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.3
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    • pp.111-117
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    • 2023
  • The oral cavity is a window into the health of the whole body and a gateway for many harmful bacteria. It is a very important part of our body. The biggest advantage of genetic testing is that it can systematically prevent and manage diseases by examining bacteria in the oral cavity and predicting systemic diseases that may occur in our body through big data AI algorithm analysis. Therefore, in this paper, the researcher's family conducts genetic testing directly to derive the results. In this study, in November 2022, 4 family members of the researcher listened to a prior explanation from 1 dentist and 1 dental hygienist at J Dental Clinic, a preventive dental clinic located in Seoul, and after filling out the consent form, oral examination and genetic testing were performed. Genetic testing was performed with Dr.*** for adults and He***** products for middle and elementary school students. Genetic testing, which is currently being conducted in Korea, has the advantage that subjects can access it relatively easily without drawing blood, but it also has limitations such as time and cost. Nevertheless, I think it is a part to be highly evaluated in that systemic diseases can be predicted through oral microorganisms.

A Study on Design of NDSL Linked Service Model by Analysis of Genbank (Genbank 분석을 통한 NDSL 연계 서비스 모형 설계 연구)

  • Bu-Young Ahn;Jung-Hun Lee;Dea-Hwan Kim;Yong-Ju Shin;Seon-Heui Choi;Jin-Seob Shin
    • Annual Conference of KIPS
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    • 2008.11a
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    • pp.603-606
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    • 2008
  • 최근 들어 분자생물학의 급속한 발전과 2001년 인간유전체사업의 완료로 인해 전세계적으로 엄청난 양의 유전정보가 공개되었다. 유전자 서열정보는 그 양이 방대하고 다양하기에 데이터베이스 구축 및 분석을 위하여 고성능 컴퓨터 및 정보기술 기법이 필요하다. 그래서 컴퓨터를 활용하여 생물학적 데이터를 수집, 관리, 저장, 평가, 분석하는 연구분야인 생명정보학(바이오인포매틱스)이라는 학문이 지속적으로 발전하고 있다. 이런 생명정보학 발전에 발맞추어 한국과학기술정보연구원(KISTI)에서는 정보기술을 기반으로 한 생명정보 인프라를 구축하여 생명과학 연구자들에게 제공하고 있다. 본 논문에서는 생명정보 데이터베이스중에서 연구자들이 가장 많이 이용하는 유전자 데이터베이스인 Genbank를 활용 및 분석하여 KISTI에서 운영하는 학술논문 제공 사이트인 NDSL(http://scholar.ndsl.kr)과 연계 가능한 서비스 모델을 개발하기 위하여 1) NCBI FTP 사이트에서 Genbank 데이터를 수집하고, 2) Genbank 텍스트 파일을 유전자 기본정보와 참고 데이터베이스로 재구축하며, 3) Genbank refrence 필드에서 논문 및 특허 정보 추출을 통한 새로운 테이블을 생성하여 NDSL과 연계 가능한 서비스 모델을 제안하였다.

A Study on the Meaning and Scalability of Citizens' Oral History Archiving: Focusing on the Ministry of Culture, Sports and Tourism's 'Digital Life History Archiving Project' in 2021 (시민 구술 아카이빙의 의미와 확장성 고찰 2021년 문화체육관광부 디지털생활사아카이빙 사업을 중심으로)

  • Sohn, DongYou
    • The Korean Journal of Archival Studies
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    • no.80
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    • pp.129-165
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    • 2024
  • This study aims to emphasize the importance and activation of citizen oral history. As is well known, research on oral history gradually began in earnest in Korea from the 1980s. Until now, citizen interviews by researchers and elite interviews by researchers have steadily increased in quantity. However, citizen interviews by citizens are insignificant. The "Digital Life-history Archiving" project, which has been under the supervision of the Ministry of Culture, Sports and Tourism since 2021, is a new and meaningful attempt. Citizens are educated on archiving and oral history to conduct interviews and produce archives. It is producing high-quality oral archives, securing citizens' archiving capabilities, and building local cultural resources. Based on the experience of participating in this project in 2021, I evaluated the performance and limitations and looked at the implications. I expect it to help reduce trial and error in the future. I also proposed a plan to actively produce and utilize citizen oral archives. To this end, specific cooperation between oral-history institutions and oral archives platforms were also proposed.

A Study on Development of New Content Selection Indicators for Digital Curation Platform (디지털 큐레이션 플랫폼을 위한 신규 학술 콘텐츠 선정 지표 개발에 관한 연구)

  • Seok-Hyoung Lee;Kangsandajung Lee;Jayhoon Kim;Hyejin Lee
    • Journal of the Korean Society for Library and Information Science
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    • v.58 no.3
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    • pp.193-216
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    • 2024
  • Academic information providers are working on developing and establishing new types of content in response to the diverse academic content needs of researchers. To efficiently build and manage a wide range of content, these institutions are establishing digital curation platforms. These platforms apply digital transformation technologies to automate the collection, construction, and management of academic content, supporting researchers' activities by providing necessary content. To operate these platforms efficiently, it is essential to establish criteria that can effectively address the diverse content needs of users. We developed indicators for selecting new content and applied these selection priorities on a trial basis to the digital curation platform. The indicators for new content selection include content value, user demand and satisfaction, and the ease and efficiency of content collection, construction, and management. These indicators can be utilized during the acquisition and selection stages of the digital resource lifecycle.

An Integrated Framework for Data Quality Management of Traffic Data Warehouses (고품질 데이터를 지원하는 교통데이터 웨어하우스 구축 기법)

  • Hwang, Jae-Il;Park, Seung-Yong;Nah, Yun-Mook
    • Journal of Korea Spatial Information System Society
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    • v.10 no.4
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    • pp.89-95
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    • 2008
  • In this paper, we propose an integrated techniques for managing data quality in traffic data warehousing environments. We describe how to collect and construct the traffic data warehouses from the operational databases, such as FTMS and ARTIS. We explain how to configure the traffic data warehouses efficiently. Also, we propose a quality management techniques to provide high quality traffic data for various analytical transactions. Proposed techniques can contribute in providing high quality traffic data to the traffic related users and researcher, thus reducing data preprocessing and evaluation cost.

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A Study on the KSCI(Korean Science Citation Index) for Analyze the Impact Factor of Domestic Journals (국내학술지 영향력 지표 분석을 위한 한국과학기술인용색인(KSCI) 연구)

  • Choi Kwang-Nam
    • Journal of the Korean Society for Library and Information Science
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    • v.38 no.4
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    • pp.271-289
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    • 2004
  • In this study, we analyze out citing and cited references among researchers, using KSCI (Korean Science Citation Index) database that is developed by KISTI. we generate and analyze that impact factor and immediate index with same method in JCR's. KSCI's impact factor and immediate index compared to JCR's, and with this basis, this study propose the need of development KSCI database and present new service model for evaluate of domestic journals.

Examining the Intellectual Structure of Housing Studies in Korea with Text Mining and Factor Analysis (저자 프로파일링과 요인분석을 이용한 국내 주거학 분야의 지적 구조 분석)

  • Lee, Jae-Yun;Kim, Hee-Jeon;Ryoo, Jong-Duk
    • Journal of the Korean Society for Library and Information Science
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    • v.44 no.2
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    • pp.285-308
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    • 2010
  • This study analyzes the intellectual structure in domestic research of the Housing field, by utilizing text mining technique. Unlike the existing research that mainly uses text clustering in statistical analyses to identify subject specialties, core authors, and relationships between research areas, this study applied author profiling and factor analysis. To supplement the analysis of intellectual structure generated by text mining, and to perform evaluation on intellectual structure itself, two professionals in the housing field were interviewed. The intellectual structure, generated through text mining, was evaluated and showed its division of valid research areas that is slightly different from the traditional intellectual structure in the housing field.

Evaluation of Parameter Estimation Methods Using Uncertainty Analysis of Rainfall-Frequency Curves (강우-빈도 곡선의 불확실성 분석을 이용한 매개변수 추정법의 평가)

  • Han, Jeong-Woo;Kwon, Hyun-Han;Kim, Tae-Woong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.1272-1276
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    • 2009
  • 극치강우사상에 의한 설계 홍수량의 갑작스런 증 감은 홍수, 가뭄과 같은 기상학적 요인에 기인한 재난을 발생시킨다. 많은 연구자들은 보다 정확한 확률강우량의 예측과 유출량의 예측을 위해 많은 노력을 하고 있다. 본 연구에서는 강원도 강릉 강우관측소를 대상으로 강우-빈도곡선의 불확실성 분석을 수행하였다. 관측 자료의 수집에서 발생하는 불확실성을 최소화 하고자 ARMA 모형을 이용하여 합성강우자료를 구축하였으며, 발생된 합성강우량을 Bootstrap 방법을 이용하여 대규모의 자료집단으로 발생시킴으로서 신뢰구간에 사용할 자료집단을 발생시켰다. 본 연구에서는 극치강우사상에 적합한 것으로 알려진 Gumbel 분포와 일반극치 분포(GEV 분포) 모형을 선정하였으며 각 확률분포모형에 대한 매개변수 추정방법으로 최우도법, 확률가중모멘트법 그리고 베이지안 추론방법을 사용하여 각 매개변수의 최후 추정치를 산정하였다. 또한 원 자료를 이용하여 최우도법, 확률가중모멘트법 그리고 베이지안 추론방법을 통해 매개변수를 산정 후 강우-빈도 곡선을 추정하여 합성강우자료의 Bootstrap 방법에 의해 발생된 자료로부터 산정한 강우-빈도 곡선의 신뢰구간과 비교함으로서 불확실성이 낮은 확률강우량을 산정할 수 있는 매개변수 추정방법을 평가하고자하였다.

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