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북한예방의학회지 ($1997{\sim}2006$) 게재논문의 핵심어 네트워크 분석
정민수,정동준,최만규,Jung, Min-Soo,Chung, Dong-Jun,Choi, Man-Kyu 대한예방의학회 2008 예방의학회지 Vol.41 No.6
Objectives : There are very few researches on North Korea's academic activities. Furthermore, it is doubtful that the available data are reliable. This study investigated research activities and knowledge structure in the field of Preventive Medicine in North Korea with a network analysis using co-authors and keywords. Methods : The data was composed of the North Korean Journal of preventive medicine ranged from Vol. 1 of 1997 to Vol. 4 of 2006. It was the matrix of 1,172 articles by 1,567 co-authors. We applied R procedure for keywords abstraction, and then sought for the outcome of network forms by spring-KK and shrinking network. Results : To comprehend the whole networks explicitly demonstrated that the academic activities in North Korea s preventive medicine were predisposed to centralization as similar as South Korea's, but on the other aspect they were prone to one-off intermittent segmentation. The principal co-author networks were formulated around some outstanding medical universities seemingly in addition to possible intervention by major researchers. The knowledge structure of network was based on experimentation judging from keywords such as drug, immunity, virus detection, infection, bacteria, anti-inflammation, etc. Conclusions : Though North Korea is a socialist regime, there were network of academic activities, which were deemed the existence of inducive mechanism affordable for free research. Article keywords has laid greater emphasis on experiment-based bacterial defection, sustainable immune system and prevention of infection. The kind of trend was a consistent characteristic in preventive medicine of North Korea haying close correlation with Koryo medical science.
국내 예방의학 분야의 공저자.핵심어 네트워크와 군집 양상 - 대한예방의학회지($1991{\sim}2006$) 게재논문의 분석 -
정민수,정동준,Jung, Min-Soo,Chung, Dong-Jun 대한예방의학회 2008 예방의학회지 Vol.41 No.1
Objectives : This study evaluated knowledge structure and its effect factor by analysis of co-author and keyword networks in Korea's preventive medicine sector. Methods : The data was extracted from 873 papers listed in the Journal of Preventive Medicine and Public Health, and was transformed into a co-author and keyword matrix where the existence of a 'link' was judged by impact factors calculated by the weight value of the role and rate of author participation. Research achievement was dependent upon the author's status and networking index, as analyzed by neighborhood degree, multidimensional scaling, correspondence analysis, and multiple regression. Results : Co-author networks developed as randomness network in the center of a few high-productivity researchers. In particular, closeness centrality was more developed than degree centrality. Also, power law distribution was discovered in impact factor and research productivity by college affiliation. In multiple regression, the effect of the author's role was significant in both the impact factor calculated by the participatory rate and the number of listed articles. However, the number of listed articles varied by sex. Conclusions : This study shows that the small world phenomenon exists in co-author and keyword networks in a journal, as in citation networks. However, the differentiation of knowledge structure in the field of preventive medicine was relatively restricted by specialization.
정민수,Jung, Min-Soo 한국데이터정보과학회 2009 한국데이터정보과학회지 Vol.20 No.1
Smart card has a small sized micro computer chip. This chip contains processor, RAM, ROM, clock, bus system and crypto-co-processor. Hence it is more expensive, complicated and secure chip compared with RFID tag. The main application area of smart card is e-banking and secure communications. There are two kinds of smart card platforms; open platform and closed one. Java card is the most popular open platform because of its security, platform independency, fast developing cycle. However, the speed of Java card is slower than other ones, hence there have been hot research topics to improve the performance of Java card. In this paper, we propose an efficient transaction buffer management to improve the performance of Java card. The experimental result shows the advantage of our method.
국부적 최소비용 오류보정 모델에서의 오류보정 테이블의 효율적 구성
정민수(Min-Soo Jung),임필옥(Pil-Ok Im),반재원(Jae-Weon Pan),최광무(Kwang-Moo Choe) 한국정보과학회 1993 정보과학회논문지 Vol.20 No.2
Fischer 등이 제안한 국부적 최소비용 오류보정 모델은 프로그래밍 언어에 무관하고, 정형적인 구문 오류보정 방식이다. 이 모델을 LR 파싱 방식에 적용함에 있어서 해결해야 할 중요한 연구과제 중의 하나는 오류보정을 위한 테이블이 차지하는 기억장소의 크기를 줄이고, 오류보정을 수행하는 시간을 줄일 수 있는 효율적인 오류보정 테이블의 구성방법에 있다. 본 논문에서는 LR 파싱 이론과 오류보정 모델의 분석을 통하여 오류보정 테이블의 효율적 구성을 제안하고, 이를 본 연구진이 개발한 파서 생성 시스템인 KPGS(KAIST Parser Generating System)에 실제 구현하여 그 실험결과를 보였다. Locally least-cost error repair model proposed by Fischer et al. is a language independent and formal syntax error repair scheme. One of the important research topics in applying this model to LR-based parser is to reduce the storage space of tables for error repair and to reduce the execution time of error repair by means of an efficient construction of error repair tables. In this paper, a practical and efficient construction method for error repair tables based on the parsing theory and the analysis of error repair model. These results are also implemented on KPGS(KAIST Parser Generating System), and some experimental results are also given.