• 제목/요약/키워드: Classification Papers

검색결과 238건 처리시간 0.025초

IR 및 NIR 스펙트럼과 주성분 분석을 통한 지종의 분류 (Classification of papers using IR and NIR spectra and principal component analysis)

  • 김강재;엄태진
    • 펄프종이기술
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    • 제48권1호
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    • pp.34-42
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    • 2016
  • In this study, we classified three copying papers and Korean, Chinese, and Japanese traditional papers using IR and/or NIR spectra and principal component analysis. Various chemicals are used when producing fine papers. In this case, the IR method to analyze functional groups is suitable for the classification of paper. On the other hand, NIR analysis is more suitable for the classification of traditional papers, as it uses nearly raw materials (pulp). Therefore, principal component analysis using IR and NIR depending on the paper production process will be the classification tool of paper.

핵의학 투고 논문 분류 및 방향성 고찰 (Classification of submitted nuclear medicine dissertation and directional consideration)

  • 조호연;우영란;서강록;홍건철
    • 핵의학기술
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    • 제26권2호
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    • pp.37-42
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    • 2022
  • Purpose Since 1985, the Korean society of nuclear medicine technology (KSNMT) has been engaged in academic activities related to nuclear medicine imaging. From 2017 to 2021, the papers published in the journal were classified by the specific fields to examine the trends in the research and the direction of nuclear medicine in comparison with the papers submitted to the Korean Society of Nuclear Medicine (KSNM) during the same period. Materials and Methods From 2017 to 2021, papers submitted to KSNMT and KSNM were classified and databaseization using the Excel program by submission type, examination equipment, and examination field. Through this data, the number of papers published in journals by year, the number of papers submitted by detailed fields, and key words by era were analyzed and compared. Results The papers included by journal was 57 KSNMT and 280 KSNM. The major large classification of equipment, PET, Planar and SPECT was 26.3%, 21.1%, 19.3% in the KSNMT, KSNM was 49.6%, 6.4%, and 9.3%, with 66.7% and 65.3%, respectively. the major medium classification of equipment, industrial safety, urogenital system, nervous system, and quality control accounted for 54.4% of the total papers of the total ratio in the KSNMT, while the medium classification of oncology, endocrine system, urogenital system, therapy, and nervous system accounted for 61.1% of KSNM. In the major small classification of image acquisition, improvement effect, and exposure management accounted for 70.2% in KSNMT, while the items of image acquisition, report, and improvement effect accounted for 60.7% in KSNM. The major keywords except for equipment-related keywords such as PET/CT, PET/MR, and SPECT were SUV, Planar Image, and Respiration Gating Method in KSNMT and Ga68, Thyroid, and Lymphoma in the KSNM. Conclusion When checking the last 5 years of submissions, we can see that KSNMT is mainly concerned with image acquisition using existing radiotracers, while KSNM has focused on new radiotracers such as 68Ga, 177Lu, etc., and new medical technologies of theranostic. It has been confirmed that more PET-related papers than other examination equipment will account for a greater number of papers, and it is believed that future submissions will also account for a higher proportion of PET-related papers than other equipment.

기계학습에 기초한 자동분류의 성능 요소에 관한 연구 (An Analytical Study on Performance Factors of Automatic Classification based on Machine Learning)

  • 김판준
    • 정보관리학회지
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    • 제33권2호
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    • pp.33-59
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    • 2016
  • 국내 학술회의 논문으로 구성된 문헌집합을 대상으로 기계학습에 기초한 자동분류의 성능에 영향을 미치는 요소들을 검토하였다. 특히 구현이 쉽고 컴퓨터 처리 속도가 빠른 로치오 알고리즘을 사용하여 "한국정보관리학회 학술대회 논문집"의 논문에 주제 범주를 자동 할당하는 분류 성능 측면에서 분류기 생성 방법, 학습집합 규모, 가중치부여 기법, 범주 할당 방법 등 주요 요소들의 특성을 다각적인 실험을 통해 살펴보았다. 결과적으로 분류 환경 및 문헌집합의 특성에 따라 파라미터(${\beta}$, ${\lambda}$)와 학습집합의 크기(5년 이상)를 적절하게 적용하는 것이 효과적이며, 동등한 성능 수준이라면 보다 단순한 단일 가중치부여 기법을 사용하여 분류의 효율성을 높일 수 있음을 발견하였다. 또한 국내 학술회의 논문의 분류는 특정 논문에 하나 이상의 범주가 부여되는 복수-범주 분류(multi-label classification)가 실제 환경에 부합한다고 할 수 있으므로, 이러한 환경을 고려하여 주요 성능 요소들의 특성에 기초한 최적의 분류 모델을 개발할 필요가 있다.

대한안이비인후피부과학회지에 게재된 아토피 피부염 관련논문에 관한 고찰 (The Study on Atopic Dermatitis Papers Published in the Journal of Korean Oriental Ophthalmology & Otolaryngology & Dermatology)

  • 서민수;김경준
    • 한방안이비인후피부과학회지
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    • 제22권3호
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    • pp.108-121
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    • 2009
  • Objective : This study was carried out to analyze and understand the trends of Atopic dermatitis papers Published in the Journal of Korean Oriental Ophthalmology & Otolaryngology & Dermatology(JKOOOD) Methods : We have reviewed 43 articles of atopic dermatitis which were published in JKOOOD during 1988-2008. All the papers are classified into three categories; original article, review article and case report. Results : 1. The number of journals associated with atopic dermatitis is 43 papers: 16 original articles(16/43%), 16 case reports(16/43%), 11 review articles(11/43%). 2. Classification of 16 original articles in terms of methodology: 11 experimental studies(11/16%), 5 descriptive studies (5/16%), 0 analytic studies(0%). 3. Classification of 16 case reports in terms of the number of patients: 1 person(8/16%), 2 persons(3/16%), 3 persons(2/16%). Conclusions : In this study, we analyzed the trends of Atopic dermatitis papers Published in the Journal of Korean Oriental Ophthalmology & Otolaryngology & Dermatology during 1988-2008. It is needed to adopt the qualitative methods of evaluation in order to develop a level of evidence.

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자질선정을 통한 국내 학술지 논문의 자동분류에 관한 연구 (An Experimental Study on the Automatic Classification of Korean Journal Articles through Feature Selection)

  • 김판준
    • 정보관리학회지
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    • 제39권1호
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    • pp.69-90
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    • 2022
  • 국내 학술연구의 동향을 구체적으로 파악하여 연구개발 활동의 체계적인 지원 및 평가는 물론 현재와 미래의 연구 방향을 설정할 수 있는 기초 데이터로서, 개별 학술지 논문에 표준화된 주제 범주(통제키워드)를 부여할 수 있는 효율적인 방안을 모색하였다. 이를 위해 한국연구재단 「학술연구분야분류표」 상의 분류 범주를 국내학술지 논문에 자동 할당하는 과정에서, 자질선정 기법을 중심으로 자동분류의 성능에 영향을 미치는 주요 요소들에 대한 다각적인 실험을 수행하였다. 그 결과, 실제 환경의 불균형 데이터세트(imbalanced dataset)인 국내 학술지 논문의 자동분류에서는 보다 단순한 분류기와 자질선정 기법, 그리고 비교적 소규모의 학습집합을 사용하여 상당히 좋은 수준의 성능을 기대할 수 있는 것으로 나타났다.

大韓眼耳鼻咽喉皮膚科學會誌에 揭載된 硏究論文들의 傾向性 考察 (The Study on the Trends of Resecarch Papers Published in the Journal of Oriental Medical Surgery?phthalmology & Otolaryngology Society.)

  • 권강;서형식
    • 한방안이비인후피부과학회지
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    • 제16권1호
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    • pp.1-32
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    • 2003
  • Objectives: This study was carried out to analyze and understand the trends of research papers published In the Journal of Oriental Medical Surgery?phthalmology & Otolaryngology Society(JOMSOOS). Methods: We studied the 308 research papers that had been published in JOMSOOS from 1988 Vol. 1. No. 1. to 2002 Vol. 15. No. 2. Our study was developed through the four stages in order to analyze the papers; 1) we analyzed all the papers overall to classify them into three categories; original article. review article and case report. 2) we classified the original articles in terms of methodology. 3) we also analyzed the case reports according to the sort of disease each paper dealt with. 4) we had another statistical approach to each paper to figure out the distribution of diagnoses in detail. Results: We have got the following outcomes from our analysis of the papers in terms of the four stages. 1. Overall Analysis. 1) Classification of 308 research papers between 1988 and 2002: 137 original articles(44.48$\%$), 111 review articles(36.04$\%$), 56 case reports(18.18$\%$). 2) Used language: Korean(99.03$\%$). English(0.97$\%$). 3) The Number of Authors: 2 persons(42.86$\%$). 3 persons(29.87$\%$), 1 person(14.61$\%$). 2. Original Article Analysis 1) Classification of 137 original articles in terms of methodology: 90 experimental studies(65.69$\%$)46 descriptive studies(33.58$\%$), 1 analytic study(0.73$\%$). 2) Classification of the original articles according to the use of statistical methods: No statistical methods(36.42$\%$), Descriptive methods only(1.99$\%$), Not defined(23.18$\%$), t-test(24.50$\%$), ANOVA(3.97$\%$), Multiple comparison(2.65$\%$), Non-parametric test(2.65$\%$), Other methods(1.32$\%$). 3) Classification of 46 descriptive articles in terms of diseases: otorhinolaryngology(43.48$\%$), dermatology(23.91$\%$), ophthalmology(13.04$\%$), facial palsy(13.04$\%$). 4) Classification of descriptive articles in terms of the number of patients: the highest was 'more than 26 but less than 50 persons'(19 articles - 41.30$\%$). 5) Classification of descriptive articles in terms of the period for patients observation: the highest was the time 'more than 9 but less than 12 months(34.78$\%$)' Out of the 34.78$\%$, the number of articles with the patients observed for more than 12 months was 13(28.26$\%$). 3. Case Report Analysis 1) Classification of 56 case reports in terms of the sort of disease: dermatology(44.64$\%$), ophthalmology(19.64$\%$), otorhinolaryngology(14.29$\%$), facial palsy(8.93$\%$). 2) Classification in terms of the number of patients: 1 person(50$\%$), 3 persons(16.07$\%$), 2 persons(14.29$\%$). 4. Diagnosis Distribution of Each Disease. 1) Studies regarding ophthalmology : the percentage of 'strabismus' cases was the highest(33.33$\%$). 2) Studies regarding otorhinolaryngology : nasal inflammation(34.48$\%$), tinnitus(20.69$\%$). 3) Studies regarding dermatology: the percentage of 'allergic skin disease' was the highest(33.33$\%$). Conclusions: We analyzed the trends of research papers that have been published in JOMSOOS in detail. We came to understand the trends of the research through this study. However, we acknowledge that we only adopted the quantitative method out of various possible analysis methods. For further studies, we strongly urge to adopt the qualitative methods as well.

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간호행정학회지 게재논문 주요어 분석(2002년${\sim}$2006년) (Classification of Keywords of the papers from the Journal of Korean Academy of Nursing Administration(2002-2006))

  • 서문경애;김인아;고명숙
    • 간호행정학회지
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    • 제13권1호
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    • pp.118-122
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    • 2007
  • Purpose: This study was to understand the major subjects of the recent nursing research in Nursing administration from keywords. Method: Keywords of journals were extracted and the frequency of the appearance of each key words was sorted by a descending order. Results: A total of 327 key words were used. The most frequently used key words were 'Job satisfaction', 'Organizational commitment', 'Leadership'. Out of them, organizational culture, nursing performance, nursing classification, patient satisfaction, and ethics appeared most frequently in descending order. Conclusion: From the above it can be noted that many nursing administration concepts were handled in the papers. But there were not enough papers on the characteristics of the Nursing administration. It is suggested that in depth research be made on 'Nursing error', 'Nursing informatics', 'Web based learning'.

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한의학계 외부의 사상체질의학에 관한 연구동향 (Study for Research Trends on Sasang Constitutional Medicine by Researchers in Other Fields)

  • 이수진
    • 사상체질의학회지
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    • 제22권3호
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    • pp.67-74
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    • 2010
  • 1. Objectives: The research papers published by researchers in other fields except Oriental medicine were analyzed to study the research trends and characteristic of Sasang Constitutional medicine. 2. Methods: Systematic searches were performed on KISS, RISS, KISTI and DBPIA and finally 123 papers were selected. The publication year, research field of the first author, title's characteristic, research topic and the classification method of Sasang Constitution were investigated. 3. Results and conclusions: 1) In the analysis of publication year, the number of studies on Sasang Constitution has increased dramatically since 2000. 2) In the analysis of the first author's research field, physical training, nursing, engineering and food and nutrition were the majority. 3) In the analysis of the research topic, the classification method of Sasang Constitution was the majority. 4) In the analysis of the classification method of Sasang Constitution, QSCC II was the most popular method accounted for 68% and interview by specialist of Sasang Constitutional medicine accounted for 42%.

Comparison of graph clustering methods for analyzing the mathematical subject classification codes

  • Choi, Kwangju;Lee, June-Yub;Kim, Younjin;Lee, Donghwan
    • Communications for Statistical Applications and Methods
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    • 제27권5호
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    • pp.569-578
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    • 2020
  • Various graph clustering methods have been introduced to identify communities in social or biological networks. This paper studies the entropy-based and the Markov chain-based methods in clustering the undirected graph. We examine the performance of two clustering methods with conventional methods based on quality measures of clustering. For the real applications, we collect the mathematical subject classification (MSC) codes of research papers from published mathematical databases and construct the weighted code-to-document matrix for applying graph clustering methods. We pursue to group MSC codes into the same cluster if the corresponding MSC codes appear in many papers simultaneously. We compare the MSC clustering results based on the several assessment measures and conclude that the Markov chain-based method is suitable for clustering the MSC codes.

과학교육 연구 자료의 정보 전산화 체제 (III) - 과학교육 관련 학술지의 과학교육 논문 분석 - (Data base system for the information on science education research and development : (III) Analysis of the research papers on science education found in a few science education journals)

  • 이원식;박승재;김영수
    • 한국과학교육학회지
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    • 제12권3호
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    • pp.17-33
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    • 1992
  • The Purpose of this study was to develop a data base system for the information on science education research and development. As a part of this study, an analysis of papers on science education included in five selected jounals related science education was done by the use of the authors classification system for the research and development materials of science education. A total of 640 papers from the first issues to the 1991 issues of the journals were classified and analyzed. The selected five journals were Journal of the Korean Association for Research in Science Education (published by The Korean Association for Research in Science Education, 148 papers), Teaching Physics(published by Korean Physical Society, 164papers), Chemical Education (published by The Korean Chemical Socity, 98 papers), The Korean Journal of Biological Education(published by The Korean Society of Biological Education, 148papers), and Journal of Science Education (published by Science Education Center.College of Education, Seoul National University, 82 papers).

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