• 청소년시설환경
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• 제17권1호
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• pp.131-141
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• 2019

The purpose of this study is to derive and type utilization indexes by comparing public design indicators with preceding studies related to closed school facilities, and to derive preliminary classification systems through a correlation review between indicators. Pre-research was conducted in the scope of academic papers, academic journals, research reports, and special act for promoting the utilization of closed school assets. Public design indicators were set in the scope of domestic design guidelines, the Seoul city public design assessment system, the 'Good Building' designation system, and the UK Design Quality Index (DQI). and the design review of the British architects. First of all, the research method looked at laws, procedures and utilization of closed schools, and reviewed the preceding study and domestic and international public design indicators sequentially. Next, the association was reviewed through a comparison between the preceding study and the public design indicators, and a preliminary classification system for the use of closed schools was derived from this.

• 한국문헌정보학회지
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• 제14권
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• pp.19-65
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• 1987

Library classification schedule IS based on the classification theory, principle and the system of the classification of science. It should be consisted of the basic principle of library classification which should use the library materials effectively. Continuous study and research on the each subject field of the discipline are essential for keeping up with the transformation of each learning field and the change of modern society. In this paper, I studied comparatively the sections and subsections of the management in KDC, DDC and NDC and reviewed the academic systems of each subject area in the management. I tried to compare the relationship beween the structure of library classifications and academic systems for the more specialized subsections of the management. KDC is influenced by the principle and structure of DDC, but I found that KDC is more similar to NDC than DDC in the sections and subsections of the management. Being un sufficient of subsections of KDC and NDC, they are not enough for the expansion and specialization of the subsections in the management. DDC is necessary to re-schedule for the proper expansion of 650 and 658 with reflection of the importance of that sections and academic systems. In this study, I adoped 9 sections of management, (1) Management policy (2) Administrative organization (3) Personnel (4) Office management and business information management (5) Marketing (6) Financial management (7) Production management (8) Accounting (9) International management. It would be necessary for us to study continuously about the specilized subsubsections of the management for the more professional classification.

• 한국도서관정보학회지
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• 제45권1호
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• pp.103-123
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• 2014

이 연구는 관광학의 학문적 특성과 분류체계를 비교 분석함으로써, 관광학의 분류특성과 문제점을 분석하고 이를 토대로 KDC 제6판 관광학의 분류체계 수정 전개 방안을 제시하였으며, 연구결과를 요약하면 아래와 같다. 첫째, 관광학의 학문영역은 관광일반, 관광주체, 관광객체, 관광매체로 구분되고 있지만, 분류체계는 대부분이 관광학을 관광일반과 관광객체 일부에 한정하고 있으며, 관광객체나 관광매체는 해당 주제에 분산 배치하고 있다. 둘째, 국립중앙도서관의 관광학 유별 자료 분석결과, 상대적으로 관광경영, 관광유형, 관광개발, 관광심리 및 관광객, 관광산업, 컨벤션 등의 주제어에 빈도수가 높게 나타났다. 셋째, 분류항목의 수정 전개는 원칙적으로 관광학의 학문적 특성과 주제어 분석을 바탕으로 하였으며, 혼란을 줄일 수 있도록 가능한 한 기존의 KDC 분류체계를 유지하였다. 또한 이를 바탕으로 상관색인어도 추가하였다.

• 한국간호교육학회지
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• 제5권1호
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• pp.72-85
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• 1999

The paper presents a review of three data sets(Uniform Hospital Discharge Data Set, Nursing Minimum Data Set, and Nursing Management Minimum Data Set) and six major nursing classifications(the North American Nursing Diagnoses Association Taxonomy I, Omaha System, Nursing Interventions Classification, Nursing Intervention Lexicon and Taxonomy, Nursing Outcome Classification, Nursing Outcomes Classification, and Classification of Patient Outcome). The reviewed data sets and nursing classifications were different from each other in the purpose, structure, and user. Nursing Interventions Classification and Nursing Outcomes Classification were linked to North American Nursing Diagnosis Association, but others not. The data set and nursing classifications need to be linked to other data sets and classifications.

• 정보관리학회지
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• 제35권4호
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• pp.141-164
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• 2018

최근 학술문헌의 양이 급증하고, 융복합적인 연구가 활발히 이뤄지면서 연구자들은 선행 연구에 대한 동향 분석에 어려움을 겪고 있다. 이를 해결하기 위해 우선적으로 학술논문 단위의 분류 정보가 필요하지만 국내에는 이러한 정보가 제공되는 학술 데이터베이스가 존재하지 않는다. 이에 본 연구에서는 국내 학술문헌에 대해 다중 분류가 가능한 자동 분류 시스템을 제안한다. 먼저 한국어로 기술된 기술과학 분야의 학술문헌을 수집하고 K-Means 클러스터링 기법을 활용하여 DDC 600번 대의 중분류에 맞게 매핑하여 다중 분류가 가능한 학습집합을 구축하였다. 학습집합 구축 결과, 메타데이터가 존재하지 않는 값을 제외한 총 63,915건의 한국어 기술과학 분야의 자동 분류 학습집합이 구축되었다. 이를 활용하여 심층학습 기반의 학술문헌 자동 분류 엔진을 구현하고 학습하였다. 객관적인 검증을 위해 수작업 구축한 실험집합을 통한 실험 결과, 다중 분류에 대해 78.32%의 정확도와 72.45%의 F1 성능을 얻었다.

• International journal of advanced smart convergence
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• 제8권2호
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• pp.8-17
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• 2019

The main purpose of this study isto explore the potential of affective computing (AC) platforms in education through two phases ofresearch: Phase I - platform analysis and Phase II - classification of academic emotions. In Phase I, the results indicate that the existing affective analysis platforms can be largely classified into four types according to the emotion detecting methods: (a) facial expression-based platforms, (b) biometric-based platforms, (c) text/verbal tone-based platforms, and (c) mixed methods platforms. In Phase II, we conducted an in-depth analysis of the emotional experience that a learner encounters in online video-based learning in order to establish the basis for a new classification system of online learner's emotions. Overall, positive emotions were shown more frequently and longer than negative emotions. We categorized positive emotions into three groups based on the facial expression data: (a) confidence; (b) excitement, enjoyment, and pleasure; and (c) aspiration, enthusiasm, and expectation. The same method was used to categorize negative emotions into four groups: (a) fear and anxiety, (b) embarrassment and shame, (c) frustration and alienation, and (d) boredom. Drawn from the results, we proposed a new classification scheme that can be used to measure and analyze how learners in online learning environments experience various positive and negative emotions with the indicators of facial expressions.

• Advances in Traditional Medicine
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• 제7권5호
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• pp.447-458
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• 2008

This paper reviews the historic origin and traits of the classification system used in current Korean herbology textbooks. By reassessing its value, it proposes the most relevant path for future revisions and supplementations. Through an evaluation of the history of the modern style of classification in terms of its efficacy and statistic analysis of the distribution of individual herbs in each category, this paper shows how the classification systems of Korean herbology textbooks were influenced by contemporary Chinese herbology, particularly that of the Cheong [淸] Dynasty. An examination of the academic background, strengths and weaknesses of each classification system demonstrates the need for future research on classification systems to concentrate on resolving the following issues: how well the setting and composition of each classification system reflects reality, and how closely it is connected to related sciences such as etiology and pathogenesis, prescriptionology, and diagnosis.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.21-22
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• 2021

Early academic warning is considered as an inherent problem in education data mining. Early and timely concern and guidance can save a student's university career. It is widely assumed as a multi-class classification system in view of machine learning. Therefore, An accurate and precise methodical solution is a complicated task to accomplish. For this issue, we present a hybrid model employing rough set theory with a back-propagation neural network to ameliorate the predictive capability of the system with an illustrative example. The experimental results show that it is an effective early academic warning model with an escalating improvement in predictive accuracy.

• 정보관리학회지
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• 제14권2호
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• pp.105-122
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• 1997

토목공학분야의 도서는 최근 건설기술의 발전과 토목공학 적용분야의 확대로 인하여 방대한 양의 도서자료들이 발생하고 있다. 도서정보의 분류체계는 현재 각 도서관과 건설관련기관내의 자료실 등에서 서지, 논문 및 정기간행물 등의 분류체계로서 듀이십진분류법(Dewey Decimal Classification-DDC) 또는 한국십진분류법(Korean Decimal Classification-KDC)등을 사용하고 있다. 그러나 기존 분류체계의 토목공학 분류항들이 학문의 학술적, 기술적 분류와 일치하지 않는 점 등으로 효과적인 도서분류와 정보검색에 어려움이 있으므로, 토목공학분야의 도서분류체계를 보다 학문이론적 분류에 적합하도록 재구성할 필요가 있다. 본 연구에서는 국내외의 도서분류체계중 토목공학분야의 분류항들을 검토한 후, 적용상의 문제점 분석과 함께, 학술정보를 위한 학문적 분류와 실무자료검색을 위한 기술적 분류의 연계성을 갖추어, 요구되는 정보를 보다 편리하게 검색할 수 있는 새로운 토목공학분야 도서분류의 류, 강 분류체계를 제시하고 있다. 제시된 분류체계는 건설 기술정보분류체계의 구성시에 시설물 정보분류항으로 활용될 수 있으며, 한국십진분류법의 개 ㅍ\ulcorner토목공학분야 분류코드로 참조될 수 있을 것이다.

• 한국멀티미디어학회논문지
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• 제24권2호
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• pp.233-244
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• 2021

Recently, several ICT-based cat studies have produced some successful results, according to academic and industry sources. However, research on the level of simply identifying the cat's condition, such as the behavior and sound classification of cats based on images and sound signals, has yet to be found. In this paper, based on the veterinary scientific knowledge of cats, a practical and academic cat monitoring and disease diagnosis system is proposed to monitor the health status of the cat 24 hours a day by automatically categorizing and analyzing the behavior of the cat with location information using LSTM with a beacon sensor and a raspberry pie that can be built at low cost. Validity of the proposed system is verified through experimentation with cats in actual custody (the accuracy of the cat behavior classification and location identification was 96.3% and 92.7% on average, respectively). Furthermore, a rule-based disease analysis system based on the veterinary knowledge was designed and implemented so that owners can check whether or not the cats have diseases at home (or can be used as an auxiliary tool for diagnosis by a pet veterinarian).