• Title/Summary/Keyword: Author

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An Investigation on Structural Analysis of the Subject Literature Using Author Cocitation and Transition Matrix System among Subareas (저자들의 동시인용과 하위주제간 추이행렬시스템을 통한 주제문헌의 구조적 분석에 관한 고찰)

  • 김현희
    • Journal of the Korean Society for information Management
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    • v.6 no.2
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    • pp.21-44
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    • 1989
  • This study investigates author cocitation and author transition analysis which are two techniques to be used to construct author and concept networks by using a test collection of 4, 598 documents on the subject of chemistry. The author and concept networks can be used to understand the structual Knowledge of terms as well as intellectual structure of science. So, these networks could be basic data of knowledge base for subject literature.

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Author Notations Based on the Structure of the Author Table for Korean Libraries (구조론에 입각한 한국 저자기호표 연구 -한글의 구조상의 특색, 기입의 형식, 배열, 표기법 문제 등과 관련한 고찰-)

  • Lee Jai-chul
    • Journal of the Korean Society for Library and Information Science
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    • v.1
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    • pp.1-58
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    • 1970
  • As to the structure of author tables for the Korean libraries using the Korean alphabet Hangul for filing, no other system is understood more relevant to author notations than the analytico-synthetic system. The Korean character consists of syllables respectively dividual into 'consonant+vowel' or 'consonant+vowel+consonant,' with the first element a consonant and the second a vowel. When these elements are synthesized with figure representation, they make an enumerative two-figure table. Individualizing and assigning, therefore, are done without listing many en-tries on the table or looking up notations in ready-made enumerative author tables. We still do not have general agreements in form of entry, reading of the Japanese and Chinese names, transliteration of foreign words, and filing system. What is more, so flexible and hospitable a notation system should be adopted as to meet the anticipated changes. The writer introduces an author notation system that could make 150,000 divisions by combinating figures, thus making it possible to endure changes through readjustments. It is considered effective, convenient, and efficacious for individualization.

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History of Costume" in Education (북방계복식(北方系服飾)에의 관심(關心)과 복식사교육(服飾史敎育) - 체미(滯美) 1년(年)의 보고(報告)를 겸(兼)하여 -)

  • Lee, Kyung-Ja
    • Journal of the Korean Society of Costume
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    • v.5
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    • pp.237-246
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    • 1981
  • This is a report of author's stay in the U.S. as an exchange scholar. During her stay from Dec. 1979 to Dec. 1980, she participated in costume studies at Pratt Institute, New York City and looked into materials of North Asian historical costumes. The author notes that the curriculum of costume studies in the U.S. place weight upon costume history, e.g., the master's program in costume studies of New York University requires 18 points in history courses out of 54 points required for the degree. The author also notes the leading role of the Costume Institute, the Metropolitan Museum of Arts in performing research works for the studies. As to the study of North Asian costumes, the author's work in the U.S. has been somewhat disappointing. She points out difficulties for a Korean researcher to access to basic materials which are scarce outside of China and Russia. She asserts, however, the comprehension of the history of North Asian costumes as a whole is essential to understand the characteristics of ancient Korean costumes. The author insists the costume history courses in Korean colleges are not appropriate as a apart of costume studies. Noting the costume education in the U.S. clearly aims at the training of costume professions, the author proposes the objective of costume education in Korea be redefined, and the teaching of "History of Korean Costumes" be reconstituted as to be suitable for it.

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Fauna of the Crabs on the Coasts of the Western Islands of Korea (한국서해 도서 연안의 게류 분포상)

  • 김훈수
    • The Korean Journal of Zoology
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    • v.5 no.2
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    • pp.13-17
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    • 1962
  • The author colelcted crabs (Tribe Brachyura ) on the coasts of fourteen western islands of South Korea (Paenyong Do, Taechong Do, Sochong Do, Taeyonpyong Do, Kanghwa Do, Yongjong Do, Chagyak Do, Tokchok To. Moktok To. Pukkyoknyolbi Do. Ong Do, ANmyon Do, Pigum Do, and Taehuksan Do) mainly in summers during a period ranging from 1955 to 1962. Of these Islands, Paeknyong , Taehong, Taeyonpyong, Ong, Anmyon, Pigum and Taehuksan Do are the localities where the crabs were investigated firstly by the present author. The collections made by the author consist of 1779 specimens of crabs involving 9 families. 25 genera, 33 species and 5 subspecies (Table2). 23 species of crabs had been reported hitherto from Tokchok To and 7 from Kanghwa Do. In present paper the author adds 1 species to the fauna of crabs of Tokchok To and 7 to that of Kanghwa Do. In present paper the author adds 1 species to the fauna of crabs of Tokchok To and 7 to that of Kanghwa D. Among 38 species or subspecies of crabs collected, Oregonia gracilis, Cancer amphioetus and Chaesmagnathus convexus are new to the fauna of the west coast of Korea. 57 species of crabs are therefore identified in this area. The author collected Pinnotheres cardii on Taechong Do and Scopimera bitympana on Pigum Do. It became, therefore, clear that these two kinds of crabs occur much wider areas than known hitherto in Korea. The nothern limit of the distribution of Ocypoda stinpsoni and Sesarma haematocheir is Kyungki Bay as known already, that of Helice tridens is ,however, more northern part than Kyungki Bay, since they were collected on Paeknyong Do.

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A Comparison Test on the Potential Utility between Author Profiling Analysis(APA) and Author Co-Citation Analysis(ACA) (저자프로파일링분석과 저자동시인용분석의 유용성 비교 검증)

  • Ryoo, Jong-Duk;Choi, Eun-Ju
    • Journal of the Korean Society for information Management
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    • v.28 no.1
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    • pp.123-144
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    • 2011
  • This study compared Author Profiling Analysis(APA) to Author Co-Citation Analysis (ACA). The former is a new analytic technique on the intellectual structure of a science whereas the latter is a traditional analytic technique. The purpose of this study was to propose appropriate methods to analyze intellectual structure of a science in the Korean research environment. In order to achieve the goal, this study adopted APA using Text Mining for analysis on the intellectual structure of a science rather than relying on citation index in order to determine a potential utility of the new analytic technique that can identify the intellectual structure.

Author Identification Using Artificial Neural Network (Artificial Neural Network를 이용한 논문 저자 식별)

  • Jung, Jisoo;Yoon, Ji Won
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.5
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    • pp.1191-1199
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    • 2016
  • To ensure the fairness, journal reviewers use blind-review system which hides the author information of the journal. Even though the author information is blinded, we could identify the author by looking at the field of the journal or containing words and phrases in the text. In this paper, we collected 315 journals of 20 authors and extracted text data. Bag-of-words were generated after preprocessing and used as an input of artificial neural network. The experiment shows the possibility of circumventing the blind review through identifying the author of the journal. By the experiment, we demonstrate the limitation of the current blind-review system and emphasize the necessity of robust blind-review system.

Hair Loss Treatment Using Erbium:YAG Fractional Laser with Hair Growth-promoting Solution

  • Ahn, Dong Hyun
    • Medical Lasers
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    • v.10 no.3
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    • pp.176-180
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    • 2021
  • Several methods have been used to treat androgenetic hair loss, ranging from hair transplants to finasteride and minoxidil. Sometimes platelet-rich plasma injection therapy may be used to increase the satisfaction of patients who come to the hospital. However, some patients are sensitive to pain and are subjected to the inconvenience of requiring treatment after each blood sampling. The author had reported the effects of using a hair growth-promoting solution and JetpeelTM in parallel with a painless hair loss treatment method. However, the author was interested in more effective methods for patients with M-shaped or vertex hair loss who do not want to take medications or undergo hair transplant. In addition to the existing light-emitting diode therapy and electromagnetic field treatment, the author has made considered attempts to use various laser wavelength bands. However, the equipment for these methods can be expensive and are not suitable for patients who emphasize on cost-effectiveness. Therefore, the author used an existing reported method and a device based on the fractional erbium:YAG laser to provide the hair growth-promoting solution in parallel. The author chose a fractional 2940 nm-based laser device as a medium that could efficiently increase the growth phase, reduce the catagen phase, and facilitate intradermal product and drug delivery. As a result, there was a therapeutic benefit without any significant side effects such as redness and itching. Among the patients, the author reported the effects of the treatment on one patient with frontal M-shaped, mid, and vertex hair loss.

The Identification Framework for source code author using Authorship Analysis and CNN (작성자 분석과 CNN을 적용한 소스 코드 작성자 식별 프레임워크)

  • Shin, Gun-Yoon;Kim, Dong-Wook;Hong, Sung-sam;Han, Myung-Mook
    • Journal of Internet Computing and Services
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    • v.19 no.5
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    • pp.33-41
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    • 2018
  • Recently, Internet technology has developed, various programs are being created and therefore various codes are being made through many authors. On this aspect, some author deceive a program or code written by other particular author as they make it themselves and use other writers' code indiscriminately, or not indicating the exact code which has been used. Due to this makes it more and more difficult to protect the code. In this paper, we propose author identification framework using Authorship Analysis theory and Natural Language Processing(NLP) based on Convolutional Neural Network(CNN). We apply Authorship Analysis theory to extract features for author identification in the source code, and combine them with the features being used text mining to perform author identification using machine learning. In addition, applying CNN based natural language processing method to source code for code author classification. Therefore, we propose a framework for the identification of authors using the Authorship Analysis theory and the CNN. In order to identify the author, we need special features for identifying the authors only, and the NLP method based on the CNN is able to apply language with a special system such as source code and identify the author. identification accuracy based on Authorship Analysis theory is 95.1% and identification accuracy applied to CNN is 98%.

Review of Author Name Disambiguation Techniques for Citation Analysis (인용분석에서의 모호한 저자명 식별을 위한 방법들에 관한 고찰)

  • Kim, Hyun-Jung
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.23 no.3
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    • pp.5-17
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    • 2012
  • In citation analysis, author names are often used as the unit of analysis and some authors are indexed under the same name in bibliographic databases where the citation counts are obtained from. There are many techniques for author name disambiguation, using supervised, unsupervised, or semisupervised learning algorithms. Unsupervised approach uses machine learning algorithms to extract necessary bibliographic information from large-scale databases and digital libraries, while supervised approaches use manually built training datasets for clustering author groups for combining them with learning algorithms for author name disambiguation. The study examines various techniques for author name disambiguation in the hope for finding an aid to improve the precision of citation counts in citation analysis, as well as for better results in information retrieval.

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.