• Title/Summary/Keyword: 학과 분류

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Fine-grained Named Entity Recognition using Hierarchical Label Embedding (계층적 레이블 임베딩을 이용한 세부 분류 개체명 인식)

  • Kim, Hong-Jin;Kim, Hark-Soo
    • Annual Conference on Human and Language Technology
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    • 2021.10a
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    • pp.251-256
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    • 2021
  • 개체명 인식은 정보 추출의 하위 작업으로, 문서에서 개체명에 해당하는 단어를 찾아 알맞은 개체명을 분류하는 자연어처리 기술이다. 질의 응답, 관계 추출 등과 같은 자연어처리 작업에 대한 관심이 높아짐에 따라 세부 분류 개체명 인식에 대한 수요가 증가했다. 그러나 기존 개체명 인식 성능에 비해 세부 분류 개체명 인식의 성능이 낮다. 이러한 성능 차이의 원인은 세부 분류 개체명 데이터가 불균형하기 때문이다. 본 논문에서는 이러한 데이터 불균형 문제를 해결하기 위해 대분류 개체명 정보를 활용하여 세부 분류 개체명 인식을 수행하는 방법과 대분류 개체명 인식의 오류 전파를 완화하기 위한 2단계 학습 방법을 제안한다. 또한 레이블 주의집중 네트워크 기반의 구조에서 레이블의 공통 요소를 공유하여 세부 분류 개체명 인식에 효과적인 레이블 임베딩 구성 방법을 제안한다.

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Study on the Restructure of Information Literacy Process Based on Taxonomy Educational Objectives (교육목표분류학에 의한 정보활용과정모형의 재구조화에 관한 연구)

  • Lee, Byeong-Ki
    • Journal of Korean Library and Information Science Society
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    • v.41 no.2
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    • pp.107-126
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    • 2010
  • Education is an intentional and planned change process for achieving the objective. Thus, an educational objects sets is very important in elementary and secondary instructional practice. Bloom created the original taxonomy of the cognitive, affective, psychomotor domain for categorizing level of abstraction of questions that commonly occur in educational settings in 1956. During the 1990, Anderson & Krathwohl, Marzano led a new educational taxonomy which met for the purpose of updating the Bloom's taxonomy, hoping to add relevance for 21st century teaching and learning. The educational taxonomy with information literacy process is relationship. The purpose of this study is restructure of information literacy process based on educational object taxonomy.

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Development of a Facet Classification System for Presidential Gift Search in Presidential Archives (대통령기록관 대통령선물 검색을 위한 패싯 분류체계 개발)

  • Yoon, Gyubin;Kim, Daeun;Jang, Hyo-Jeong
    • The Korean Journal of Archival Studies
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    • no.76
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    • pp.119-157
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    • 2023
  • This study attempted to propose a faceted search function to supplement metadata for existing presidential gifts. To this end, based on 3,574 presidential gifts provided online by the Presidential Archives, identified the characteristics of records extracted from the gift name, gift giver, gift country, gift date, and receipt process, specifications, and characteristics of the presidential gift. Based on this, study designed a facet-based classification of presidential gifts with 5 basic facets and 51 sub-facets and structured facets define each facet element and assign an arrangement order and symbol. This classification system can be expected to be utilized as a basis for building faceted navigation by applying it to a search system. Through the study, it was confirmed that it was necessary to develop a new classification system for presidential gifts, and it was proposed to apply facet classification as an alternative classification system for this purpose.

A Research on Utilization of KDC Based on Literary Warrant (문헌적 근거에 기반한 한국십진분류법(KDC) 활용현황에 대한 연구)

  • Kim, Sungwon
    • Journal of the Korean Society for Library and Information Science
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    • v.55 no.2
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    • pp.25-50
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    • 2021
  • General-purpose classification scheme encompasses all subject areas, While the whole classification scheme is constructed by library studies experts, structure and preparation of each specific subject area's classification should be referenced to that specific subject. In order for the whole system to be practical and useful classification scheme, not just a simple collection of each subject area's scheme, it is necessary to set the rule for properly distributing the amount of classification items, and the collections assigned to these items. The rule to set the distribution of items based on the amount of document collections is called 'literary warrant'. This study examines actual status of assignment of each classification items to information resources, as a result of application of Korean Decimal Classification, and then suggests a way to improve these practices.

2-stage Classification Model of vehicles based on CNN Algorithm (CNN 알고리즘 기반 2단계 차종 분류 모델)

  • Kim, Han-Kyum;Ahn, Yoo-Lim;Yoon, Seong-Ho;Lee, Young-Jae;Lee, Young-Heung;Lee, Weon-June;Kim, Hyun-Min;Kim, Young-Ok
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.791-794
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    • 2021
  • 범죄차량 판독 시스템, 지능화된 CCTV 등 차량과 관련된 시각지능에 관한 연구가 큰 관심을 받고 있다. 이 중 차량 분류 기술은, 특정 차량을 인식하는 핵심기술이다. 이와 관련한 기존 연구들은 큰 차종으로만 분류하거나, 분류 가능한 차종의 수, 정확도 등이 낮아 실용성 및 신뢰성이 떨어진다는 단점이 있다. 따라서, 본 논문에서는 차종을 정확하게 분류할 수 있는 2단계 차종 분류 알고리즘을 제안한다. 제안 시스템은 CNN으로 학습된 모델을 기반으로 1차로 차량의 유형을 분류하고, 2차로 정확한 차종을 분류한다. 실험 결과, 52개의 차종을 분류함에 있어 단일 분류 모델에 비해 5.3%p 더 높은 90.2%의 분류 정확도를 보였다. 이를 통해, 더욱 정확한 차종 분류가 가능하다.

Analysis of Research Trends in Christian Education: Papers Published During COVID-19 (2020.3 - 2022.6) (기독교교육학 연구 동향 분석: 코로나19 시기 게재 논문(2020.3~2022.6)을 중심으로)

  • Shin Seungbeom
    • Journal of Christian Education in Korea
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    • v.72
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    • pp.97-115
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    • 2022
  • The purpose of this study is to analyze the trends of Christian education research during the COVID-19 period. To this end, 172 theses published in the "Journal of Christian Education" and "Korea Society for Christian Education & Information Technology" pub-lished between March 2020 and June 2022 were analyzed according to the subfields and research methods of Christian education. As a result of the analysis, 38.5% of the total papers belonged to theories of Christian education. Papers related to practice of Christian education was 61.5%. Looking more closely at Christian education practice, papers related to classification by 'developmental stage' accounted for 25%, 'education field' accounted for 55.2%, 'function' accounted for 40.7% of the total papers. Regarding the classification of research methods, literature research accounted for 62.7% of the total studies, survey research methods accounted for 21.5%. Based on this, the main conclusions found in this study are as follows. First, the problems caused by the emergence and spread of the coronavirus began to be reflected in Christian education studies. Second, it was confirmed that the research method of Christian education, which had been biased toward liter-ature research, was recently converted from theory-centered to an attempt to balance theory and practice, and as convergence research increased, research topics and re-search methods were diversifying. Third, it was confirmed the need for category stand-ards that can analyze and classify studies in order to identify trends in Christian education research. Lastly, when considering all the papers, there are not many papers that fall under the classification by characteristics.

Dewey Decimal Classification in Print vs. Electronic Dewey : the User Study (듀이십진분류표의 인쇄형과 전자형 비교 및 이용에 관한 연구)

  • 정연경
    • Journal of the Korean Society for information Management
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    • v.13 no.2
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    • pp.97-120
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    • 1996
  • This study reports the results of an exploratory investigation into building number technique applied by a sample of novice students using Electronic Dewey(ED). For control purposes, a second sample used the same classification schedule but in print format. In this experiment, the DDC 20 in print had a higher success rate than ED. While the searches in ED took shorter time than DDC in print, students using DDC 20 in print were able to build more correct numbers than ED. Novice users did not take full advantage of system features of ED. Therefore, it is important to note the overall difficulty with which users could build numbers from the ED after little training. However, it is interesting to note that the students in the CD-ROM group were more interested in building numbers than their colleagues in the Print group. The correlation between the grade of English course and the score in experiment was negative in Print group. And the correlation between GPA and the score in experiment was a little positive. The correlation between the time and the score in experiment was quitenegative.

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Four New Records of Parasitoid Wasps of Genus Aleiodes (Hymenoptera: Braconidae: Rogadinae) from South Korea (한국산 미기록 기생벌 Aleiodes (벌목: 고치벌과: 송충살이고치벌아과)속 4종에 대한 보고)

  • Gyeonghyeon Lee;Juhyeong Sohn;Hyeban Namgung;Jongok Lim;Hyojoong Kim
    • Korean journal of applied entomology
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    • v.62 no.1
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    • pp.49-56
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    • 2023
  • We first report 4 unrecorded species belonging to genus Aleiodes Wesmael discovered in South Korea: A. lipwigi, A. guidaae, A. subemarginatus, A. caprinus. In this study, diagnosis, distribution, and illustration, DNA barcode sequence are provided for identification of these species.

Semantic Analysis on Traffic Flooding Attacks Detection System (트래픽 폭주 공격 탐지 시스템의 의미론적 해석)

  • Jaehak Yu;Seunggeun Oh;Hansung Lee;Jun-Sang Park;Myung-Sup Kim;Daihee Park
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.11a
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    • pp.1496-1499
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    • 2008
  • DoS/DDoS로 대표되는 트래픽 폭주 공격은 대상 시스템뿐만 아니라 네트워크 대역폭 및 시스템 자원 등을 고갈시킴으로써 네트워크에 심각한 장애를 유발하기 때문에, 신속한 공격 탐지와 공격유형별 분류는 안정적인 서비스 제공 및 시스템 운영에 필수요건이다. 본 논문에서는 1) 데이터마이닝의 대표적인 분류 모델인 C4.5 알고리즘을 기반으로 SNMP MIB 정보를 사용하여 트래픽 폭주공격을 탐지하고 각 공격유형별 분류를 수행하는 시스템을 설계 및 구현하였다; 2) C4.5에서 추가적으로 제공하는 동작원리에 관한 규칙들을 상세히 분석함으로써 공격탐지 및 공격유형별 분류에 관한 시스템의 의미론적 해석을 시도하였다; 3) C4.5는 주어진 SNMP MIB의 속성들의 정보이익 값을 이용하여 예측모형을 구축하는 알고리즘으로, 특징선택 및 축소의 효과를 추가적으로 얻었다. 따라서 시스템의 운용 시, 제안된 모델은 전체 13개의 MIB 정보 중 5개의 MIB 정보만을 사용하여 보다 신속하고, 정확하며, 또한 가벼운 공격탐지 및 공격유형별 분류를 수행함으로써 네트워크 시스템의 자원관리와 효율적인 시스템 운영에 기여하였다.

A Study on Analysis of Research Trends about Classification in Korea (분류에 관한 국내 연구동향 분석)

  • Chang, Yun-Mee;Chung, Yeon-Kyoung
    • 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.