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A study on the script of japan author names with chinese character in "Periodical's Index" (정기간행물기사색인'에 나타난 일본인명 표기에 관한 연구)

  • 김영귀
    • Journal of Korean Library and Information Science Society
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    • v.25
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    • pp.167-206
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    • 1996
  • Some conclusions can be derived form the study : 1) The script of Japan author's name for 3 years(1960-1962, not published by the National Assembly Library but by Korea Library Association)and that of 1963's was arranged by their mother tongue although they had not the "author index". 2) "Periodical's Index" which the publication of National Assembly Library was not accept the principle that the person's name should be pronounce and script by one's mother tongue. It means that the Library was not accept the uniqueness of personal name. 3) Because the arrangement of the same person's name is mixed with one's mother tongue pronunciation and Korean one that they are scattered each another. 4) The same surname and the same Chinese character has different arrangement because of pronunciation rule of Korean language. 5) The same person's name was regarded as a different one because of nonaccurate name transcription. 6) A Japanese name was transcribed as Hangul with Korean pronunciation. 7) A Japanese name was transcribed as Hangul with Korean pronunciation and added Chinese Character in parenthesis. 8) A same Japanese name was regarded as a different one when it was transcribed with Chinese character and Hangul. 9) The arrangement of a same person's name was different when between the surname and forename has one space and has not. 10) "Author Index" is not playing as a role of name authority file.a role of name authority file.

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Intellectual Structure of Korean Library and Information Science in 1990s Using Author Co-citation Analysis (저자동시 인용분석에 의한 1990년대 한국문헌정보학의 지적구조에 관한 연구)

  • 윤구호;서말숙
    • Journal of Korean Library and Information Science Society
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    • v.32 no.3
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    • pp.169-197
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    • 2001
  • This study investigated the intellectual structure of Korean library and information science and its change in the 1990s using author co-citation analysis. The citation data came from in 3 journals in the field of library and information science from 1990 through 1999, and 50 authors were selected and analyzed in detail by means of multi-variate statistical techniques such as multidimensional scaling, cluster analysis, factor analysis and crosstab analysis in order to excess the intellectual structure of discipline and its changing research patterns.

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A Study on Evaluation of Ideces an Individual's Scientific Productivity Using Author Rank (저자 순위를 이용한 개인별 연구 성과 지수 산출에 관한 연구)

  • Kim, wan-jong;Noh, kyung-ran;Seo, jinny;Lee, hye-jin
    • Proceedings of the Korea Contents Association Conference
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    • 2007.11a
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    • pp.468-472
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    • 2007
  • There are many measuring tools to evaluate individual's scientific productivity using scientific articles based on bibliometrics. Especially succeeding discussions are accomplished at an trial for individual's scientific productivity after Hirsch's 2005 proposal using h-index. And there are many succeeding discussions and applications to evaluate journals, articles and qualitative level of researchers using h-index, g-index. But these indices have a same indices without regard to first author or other co-author if a article has a same number of citations. This research aims to propose K-index integrated between these indices and author rank.

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ARBITRATION IN THE UNITED STATES SECURITIES INDUSTRY : PROCEDURES AND SUBSTANTIVE FAIRNESS (미국의 증권중재제도에 관한 소고 - 공정성 요건을 중심으로 -)

  • Kim, Hee-Cheol
    • Journal of Arbitration Studies
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    • v.18 no.3
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    • pp.51-69
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    • 2008
  • The financial industry in which arbitration is most frequently resorted to so as to resolve disputes is the sector related to the securities industry. Most securities related disputes are raised from broker-dealer controversies which is not new in the Republic of Korea. The disputes between securities brokers and customers are very frequently settled by arbitration in the United States. But the arbitration in the securities area may deprive investors from securities regulation's protection. Introducing the United States' Federal Supreme Courts cases, the author explores the logic of how the pre-dispute arbitration agreement compatible with Securities regulations. However, the author insist the South Korea should more careful in accepting pre-dispute arbitration contract in securities area. Mostly because of the lack of more specific way to secure substantive fairness in securities arbitration. Also the author worries about the possibility of prevailing pre-dispute arbitration agreement in all of the securities investment contract without any other choices, or securities laws' protection. But the author also suggests to introduce public securities arbitration system of the States, and also insists the way to secure substantive fairness, or the application of securities regulations in securities arbitrations. Which may be the pre-requirements for the pre-dispute arbitration agreement in securities investment contract.

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Acoustic screening test for laryngeal cancer (음성을 이용한 후두암의 집단선별검사)

  • 박헌수
    • Korean Journal of Bronchoesophagology
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    • v.7 no.2
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    • pp.161-167
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    • 2001
  • Background and Objectives: Total laryngectomy is often required for advanced cases. But this operation induced the many inconvenience of basic daily life. Early diagnosis of laryngeal cancer is very important to prevent from this disastrous condition. In this point of view, mass screening test for early detection of laryngeal cancer is necessary. Screening test using voice has many advantages such as simple, less interventional. Voice collection by Automatic Response System(ARS) is comfortable and easy to got acoustic sample. Thus author tried to got the acoustic parameters which can differentiate normal, benign. and malignant laryngeal diseases and also checked the availability of parameters on neural network system. Materials and Methods: Author has evaluated the voice from 17 laryngeal cancer patients and 45 benign laryngeal disease patients who visited at Department of Otolaryngology, Pusan National University Hospital from May 1998 to April 2001, and 15 normal control. Author chose the sir Parameters (Jitt. vFo, Shim, vAm, NHR, SPI) that was thought to be related with voice collected by ARS among thirty-three parameters analysed by a Multi-Dimensional Voice Program (MDVP). Two-step neural network was used for the availability of six parameters. Results: The detection rate of normal voice by ARS voice analysis is 78.5% and detection rate of abnormal voice was 97.1 o/o. Among abnormal voice, the detection rate of benign laryngeal diseases and laryngeal cancers were 82.4 o/o, 70.6% respectively. Conclusion: Author concluded that six parameters and Matlab based neural network software may be effective in development of acoustic screening system for laryngeal cancer and further study should be necessary for development of new acoustic parameters.

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Information Dimensions in Library and Information Science Doctoral Mentoring: Qualitative Findings

  • Lee, Jongwook
    • International Journal of Knowledge Content Development & Technology
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    • v.8 no.3
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    • pp.5-28
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    • 2018
  • Socialization of doctoral students refers to the process through which they acquire various types of information about their work, department, university, and discipline for their future careers. This study aims to investigate information behaviors, with emphasis on identifying types of information exchanged in mentoring between faculty advisors and their doctoral students in library and information science (LIS). As a first step to developing a content framework for LIS doctoral mentoring, the author interviewed ten LIS doctoral students from nine U.S. universities. Based on data from these interviews, the author identified sixteen types of information exchanged: language, history, coursework, research, skills, teaching, networking, structure, politics, goals, strategies, values, norms/tradition, rules/policies, benefits, and personal life. In comparison with a content framework used, four dimensions were newly added. In addition to the identification of content dimensions, the author observed four meaningful contextual levels to which the content types can be applied: work, department/school, university, and discipline. The qualitative data also showed that interpersonal factors of advisees/advisors and contextual factors might relate to information exchange in doctoral mentoring. In a following paper, the author will present the results of a follow-up survey that tests and generalizes the findings of this study.

The Differential Factors Influencing Online & Mobile Shopping Behavior

  • Lee, Hee-Jung
    • Journal of Distribution Science
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    • v.15 no.9
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    • pp.27-36
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    • 2017
  • Purpose - In this study, the author investigates which shopping motivations affect regulatory focus differently. This study also determines the effect of shopping motivation on regulatory focus when consumers use different shopping channels. Additionally, the author tries to investigate how information quality affects regulatory focus. Similarly, this study also examines the effect of the shopping channel on the relationship between information quality and regulatory focus. Research design, data, and methodology - With 635 surveyed questionnaires, this study was conducted by SPSS and AMOS 22.0 version. SEM was used to verity hypotheses and model. Results - According to this research, hedonic shopping motivation affects promotion focus positively and prevention focus negatively. Furthermore, when consumers use a mobile channel rather than an online one, hedonic shopping motivation affects prevention focus more negatively. However, depending on the shopping channel, there are no significant differences in the case of the relationship between hedonic motivation and promotion focus. The author also examines how information quality affects regulatory focus. In particular, when consumers use a mobile channel rather than an online one, information quality affects promotion and prevention focus more positively. Conclusions - Through this study, the author suggests that shopping motivation and information quality could influence consumers' regulatory focus, shopping attitude, and intention.

An Author Co-citation Analysis of the Researches on the Supply Chain Management (국내 SCM 연구의 저자동시인용분석)

  • Kim, Mi-Ae;Suh, Chang-Kyo
    • The Journal of Information Systems
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    • v.24 no.4
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    • pp.43-60
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    • 2015
  • Purpose This study intended to introduce new approaches to identify the intellectual structure of supply chain management(SCM) researches, which combines author co-citation analysis(ACA) and social network analysis(SNA). Design/methodology/approach We searched RISS(www.riss.kr) and NDSL(www.ndsl.or.kr) database and collected 292 academic papers on supply chain management between 2001 and 2011. Among 9,637 references of these papers, we analyzed 1,848 references that were published by domestic authors. We produced a correlation matrix of 32 author co-citation matrix and conducted multi-variate statistical analysis such as factor analysis. We also performed social network analysis to identify the main researchers in SCM. Findings We found four main sub-areas of supply chain management research: SCM adoption factors, logistics, SCM performance, and SCM structure. We could present the authors who played important roles within the network by using SNA indicators. The finding of this research also suggests more collaborations among domestic researchers are required to overcome the low co-citation rates among domestic authors.

Recognition of Video Characters by Learning Dialogues Using Author-Topic Models (Author-Topic 모델 기반 대본 학습을 통한 비디오 등장 인물 인식)

  • Lim, Byoung-Kwon;Heo, Min-Oh;Zhang, Byoung-Tak
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06c
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    • pp.327-330
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    • 2011
  • 기계학습 기술이 발달함에 따라 기계학습은 제한된 상황에서 벗어나, 실생활과 비슷한 복잡하고 다양한 상황에서의 학습이 중요한 이슈가 되었다. 본고에서는 현실과 비슷한 상황을 도입하기 위하여 드라마를 사용한다. 드라마 내의 등장인물들은 말투, 어조, 관심주제와 같이 다양한 특성을 내재하고 있다. 등장인물들의 다양한 특성 중 관심주제는 대본 안에 글로 드러나 있으므로 기계학습을 통해 등장 인물의 인식에 활용할 수 있다. 최근, 확률그래프모델 분야에서 문서의 주제를 다루는 기법으로 자주 거론되는 토픽 모델 중 하나인 Author-Topic (AT) 모델은 등장인물의 관심주제를 학습하는 데에 적합하다. 본 논문에서는 AT 모델로 대본을 학습하고, 학습된 데이터 분포를 이용하여 장면에 등장하는 인물들을 인식하는 방법을 제시한다. 이 방법의 성능을 측정하기 위해, 미국 TV 드라마 'Friends' 대본 39편을 학습시키고, 장면에 대해 등장인물을 인식하는 실험을 수행하였다. 이 실험을 통해 본고에서 Author-Topic 모델을 이용한 인물 인식 방법이 다수의 인물이 참여한 담화의 인물들을 인식하는데 강점이 있음을 확인할 수 있다.

A Study on Intellectual Structure Using Author Co-citation Analysis and Indexing Term Analysis of Citing Documents - Application to Economics - (저자동시인용(著者同時引用) 분석과 인용한 문헌(文獻)의 색인어(索引語) 분석(分析)에 의한 지적구조(知的構造)의 규명 - 경제학(經濟學) 분야를 대상으로 -)

  • Kim, Do-Mi
    • Journal of Information Management
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    • v.24 no.1
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    • pp.32-57
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    • 1993
  • The purpose of this study is to analyze the intellectual structure of economics field in Korea by author co-citation analysis and to investigate the limitations of author co-citation analysis by a new method, namely, indexing term analysis of citing documents.

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