• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.302-305
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• 2017

사이버 공격은 점차 다양해지고, 그 위험성은 날로 심각해지고 있다. 가장 강력한 공격 중 하나는 DDoS (Distributed Denial of Service) 공격이다. 본 논문에서는 다양한 사이버 공격을 분류하고 이에 따른 방법 기법을 서술하겠다. 특히, 최신 DDoS 공격 탐지 방법을 소개하고 딥러닝 (Deep Learning)을 활용한 최신 방어 기법 연구에 대해 살펴보도록 하겠다.

• Journal of Korean Library and Information Science Society
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• v.31 no.2
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• pp.197-221
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• 2000

본 연구의 목적은 국내 문헌정보학 프로그램의 현황과 문제점을 고찰한 후, 이와 개선을 통하여 효율적인 교육과정의 개선방안을 제시하는 것이다. 이를 위하여 질적인 서술방식과 계량적연구를 병행하여 수행하였다. 질적인 연구에서는 기존의 연구결과와 현황에 근거한 문헌정보학의 최근 동향에 대하여 서술하고, 기록보존 관련과목과 사서교사교육과정과 관련된 내용에 대하여 고찰하였다. 계량적 연구의 수행을 위하여는 먼저 문헌정보학을 3개분야 (도서관학, 정보학, 서지학과 기타분야), 15개 세부영역으로 나누어 분류하였다. 이 분류방식에 근거하여 준비된 설문지를 사용하여 대구경북지역 내 도서관 현장근무자 및 재학생들의 요구를 파악하기 위하여 설문조사를 실시하였다. 206개의 이용가능한 데이터를 수집하여 여러 종류의 기술적, 추리적 통계분석방법과 SPSS를 사용하여 분석한 계량적 연구의 주요발견사항을 함께 기술하였다. 따라서 본 연구는 급속히 변화되는 사회 및 교육환경에 맞는 문헌정보학 교육과정의 개편에 일조할 수 있을 것으로 사료된다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.1
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• pp.25-44
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• 2013

The purpose of this study was to analyze the trends of Classification Studies in Korea from 205 research articles in five scholarly journals in Library and Information Science during the period 1986-2011. Individual article was analyzed in the aspects of specific research topics, research methodologies, data collection & analysis, and the characteristics of classification research was suggested. The amount of research paper has increased during the period and the focus of the study was on practical use and most of the papers were about new classification schedules or modification of current classification systems. Most of the papers were literature research and comparative research on classification systems by professors or graduate students. Top 9 authors in classification research were professors or lecturers and a few authors were computer science major. Therefore, various research topics, research methodologies and collaborations with other disciplines are necessary for future classification research.

• Journal of Korean Library and Information Science Society
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• v.34 no.4
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• pp.21-42
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• 2003

This study is to represent the research trends of library & information science in Korea through an analysis of the master's and doctor's dissertations published from 1959 through 2002. The results of this study are as follows: The average yearly dissertations: 38.5 pieces; the year published the largest number of dissertations: 2002; the order of the number of dissertations by the domain of library ＆ information science: library management, information science, public service, organizing library materials, bibliography, collection development (management), history of books & libraries, foundations of library & information science.

• Journal of the Korean Society for information Management
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• v.24 no.3
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• pp.149-178
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• 2007

The purpose of this study is to analyze and evaluate the characteristics of online catalogs' interface of elementary school libraries, and to propose how to design user-friendly interfaces. The online catalogs of elementary school libraries are categorized into 6 types. Such topics as the features of search methods, the record display formats, the terminology usage, and the special features of the 6 types are discussed. Some shortcomings are examined and how to improve them is suggested.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.185-188
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• 2018

띄어쓰기와 문장 경계 인식은 그 성능에 따라 자연어 분석 단계에서 오류를 크게 전파하기 때문에 굉장히 중요한 문제로 인식되고 있지만 각각 서로 다른 자질을 사용하는 문제 때문에 각각 다른 모델을 사용해 순차적으로 해결하였다. 그러나 띄어쓰기와 문장 경계 인식은 완전히 다른 문제라고는 볼 수 없으며 두 모델의 순차적 수행은 앞선 모델의 오류가 다음 모델에 전파될 뿐만 아니라 시간 복잡도가 높아진다는 문제점이 있다. 본 논문에서는 띄어쓰기와 문장 경계 인식을 하나의 문제로 보고 한 번에 처리하는 다중 클래스 분류 시스템을 통해 시간 복잡도 문제를 해결하고 다중 손실 선형 결합을 사용하여 띄어쓰기와 문장 경계 인식이 서로 다른 자질을 사용하는 문제를 해결했다. 최종 모델은 띄어쓰기와 문장 경계 인식 기본 모델보다 각각 3.98%p, 0.34%p 증가한 성능을 보였다. 시간 복잡도 면에서도 단일 모델의 순차적 수행 시간보다 38.7% 감소한 수행 시간을 보였다.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.222-227
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• 2022

In this paper, we implemented a Korean text generation and classification model based on a deep learning algorithm that can be applied to various industries. It consists of two implemented GAN-based Korean handwriting generation models and CNN-based Korean handwriting classification models. The GAN model consists of a generator model for generating fake Korean handwriting data and a discriminator model for discriminating fake handwritten data. In the case of the CNN model, the model was trained using the 'PHD08' dataset, and the learning result was 92.45. It was confirmed that Korean handwriting was classified with % accuracy. As a result of evaluating the performance of the classification model by integrating the Korean cursive data generated through the implemented GAN model and the training dataset of the existing CNN model, it was confirmed that the classification performance was 96.86%, which was superior to the existing classification performance.

• Journal of Korean Library and Information Science Society
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• v.53 no.4
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• pp.123-142
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• 2022

In 2000, North Korea developed and published a two-volume, <Classification-Search Term Dictionary> and is currently used throughout North Korea. The purpose of this study is to examine the development process of the classification schemes of the North Korea after liberation and to understand the contents, composition, and principles of the <Classification-Search Term Dictionary> published in 2000 and revised in 2014. Until now, all the studies of the North Korean classification schemes were studies on the <Book Classification Scheme> published in North Korea in 1964, and there has been no discussion on North Korea's classification schemes since then. The first volume of the <Classification-Search Term Dictionary> consists of 'classification symbols - search terms', and the second volume consists of 'search terms - classification symbols'. Volume 1 is based on the <Books and Bibliography Classification Scheme (1996)>, and there are a total of 41 main classes in five categories. Volume 1 allocates 1 main class (11/19) to 'revolutionary ideas and theories', 8 main classes (20~27) to 'natural sciences', 19 main classes (30~69) to 'engineering technology and applied sciences', 12 main classes (70~85) to 'social sciences', and 1 main class (90) to 'total sciences'. Volume 2 is similar to subject-headings. North Korea's <Classification-Search Term Dictionary> is the first classification scheme introduced in South Korea and is expected to be the starting point for future studies on the establishment of the standard unification classification schemes.

• Journal of the Korean Society for Library and Information Science
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• v.33 no.1
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• pp.87-111
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• 1999

This article investigates the functions, needs, and developments of the MARC format for classification data. and recommends the development for the KORMARC format for classification data. It ae analyzes the record structure, content designation and the content of it mainly based on USMARC format. Structure and content designation are almost same with those of the bibliographic and authority formats. The data fields divided into functional blocks based on their functions. Record contents of the data in the fixed-length fields include more elements on the classification numbers, including type of number, classification validity, standard or optional number, synthesized number. Variable fields can be grouped into several blocks, inducing those for numbers and codes: for classification numbers and terms; for references and tracings; for notes fields: for index terms fields, and for number building fields. Data in each fields of this format have the same contents with those in other related fields as soon as possible. This article analyzes the content in each data fields in detail.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.203-232
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• 2022

Drug addiction or substance use disorder is continuously observed worldwide for its risks and prevalence. In this context, numerous studies have been conducted regarding this issue. However, bibliometric analysis related to drug addiction is insufficient. In particular, it is difficult to find research that utilizes a macro-level bibliographic approach that comprehensively reflects various characteristics related to drug addiction. In this study, to reflect the multidimensional features of drug addiction, research trends in drug addiction in social science, natural science, and multidisciplinary studies were compared and analyzed. This study collected drug addiction research articles from 2002 to 2021 by searching from the Web of Science, and classified academic disciplines based on SCI(E) and SSCI information. Author keyword co-occurrence analysis was also conducted, which provided confirmation that natural science mainly studied psychoactive substances and the reward system in the brain, while drug addiction studies reflecting demographic characteristics were conducted in the domain of social science. In the multidisciplinary field, all of the above topics were covered. Author co-citation analysis was also employed, which showed that there are superstars (i.e., authors who receive a rigorous amount of citation) in the field of natural science, while in the social science domain, authors were highly cited not only at the individual level but also at the institutional level.