• International Journal of Knowledge Content Development & Technology
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• 제13권1호
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• pp.111-130
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• 2023

There are the national science and technology standard classification system used in Korea, the classification according to the standard classification system for educational organization units, and the Korean standard education classification by the National Statistical Office. It is not suitable for calculation or evaluation, and classification is still mixed depending on the purpose of use. Therefore, in this study, the current status of academic standard classification, issues related to the standard classification system such as research foundation associations and research institutes, and issues related to the academic standard classification through the analysis of existing prior research issues, etc. As a result of the research, first, it is necessary to maintain and strengthen the linkage of the academic classification system, such as maintaining the linkage between the relevant departmental classification systems and strengthening the linkage with the relevant classification system, as a result of analysis of major issues in the academic standard classification system, and the systematic improvement cycle of the revision process and management system and settings are required.

• 한국환경복원기술학회지
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• 제23권5호
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• pp.99-112
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• 2020

This study aims to propose biotope field datasheet and biotope type classification based on habitat-based by analyzing the German biotope system. The German system began in 1976 and has established a habitat-based national biotope classification system. On the other hand, Korea institutionalized in 2018 to build a classification system based on land use and land cover, which is a classification system that does not fully reflect ecosystem in Korea. Germany operates 44 biotope classification systems and 40 biotope field datasheet. Korea uses a single biotope field datasheet regardless of the biotope type. This classification system may not reflect the characteristics of Korea's biotope ecological habitat. The biotope classification system of Korea was proposed by dividing it into five categories: mountain ecology, freshwater ecology, land ecology, coastal ecology, and development area to reflect ecosystem habitat. The biotope type was designed as a system of large-classification-middle-small classification and subdivided into medium-classification and subdivided in each biotope system. The major classifications were classified into 44 categories according to the mountainous biotope(11), freshwater biotope(8), terrestrial biotope (12), coastal biotope(6), and development biotope(7). Unlike Germany, Korea's biotope field datasheet was proposed in five ways according to the classification of major ecosystem types. The results of this study are expected to contribute to the policy suggestion and the utilization of ecosystem conservation because the biotope classification system is classified to reflect the characteristics of ecosystem habitats.

• 한국도서관정보학회지
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• 제40권4호
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• pp.401-425
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• 2009

이 연구는 건축공학 분야의 학문체계와 KDC, DDC, LCC의 분류체계 및 한국연구재단의 연구분야분류표의 건축공학 분야의 분류체계에 대해 비교 분석한 후, 이를 토대로 KDC 건축공학 분야의 분류체계를 개선할 수 있는 방안을 제시하고자 시도하였다. 분석결과 KDC 제5판의 건축공학 분야는 학문발전의 추세를 반영하는 분류항목의 추가, 건축구조공학 분야의 등위류 분류용어의 적절한 전개, 세부 주제의 추가 전개, 적절한 분류용어의 선택, 분류기호, 영문표기의 오류, 분류항목의 상관색인 누락 등에 대한 개선이 필요한 것으로 나타났다. 이 연구에서는 이러한 문제들을 해결하기 위한 개선 방안을 제시하였다.

• 한국도서관정보학회지
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• 제41권4호
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• pp.5-33
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• 2010

이 연구는 교육학 분야의 학문체계와 KDC, NDC, DDC, LCC의 분류체계 및 한국연구재단의 연구분야분류표의 교육학 분야의 분류체계에 대해 비교 분석한 후, 이를 토대로 KDC 교육학 분야의 분류체계를 개선할 수 있는 방안을 제시하고자 시도하였다. 분석결과 KDC 제5판의 교육학 분야는 학문발전의 추세를 반영하는 분류항목의 추가, 교육학 세부 영역의 등위류 분류용어의 적절한 전개, 세부 주제의 추가 전개, 분류기호의 오류 및 분류항목의 상관색인 누락 등에 대한 개선이 필요한 것으로 나타났다. 이 연구에서는 이러한 문제들을 해결하기 위한 개선 방안을 제시하였다.

• 한국과학교육학회지
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• 제11권2호
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• pp.133-142
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• 1991

The purpose of this study is to develop a data base system for the information on research and development of science education. As the first step of this study and development, a classification system for the research and development materials was devised after discussing the process of science education and the research and development of science education. The classification system has nine main categories : 1. area, 2. subject, 3. behavior, 4. skill, 5. support, 6. type, 7. materials, 8. language, and 9. the others, each of which has one or two levels of subcategory. This classification system was revised and supplemented through the theoretical analysis by speci.diSts and the practical classification of master's theses and doctoral dissertations from the Department of Science Education, Seoul National University. But it still needs more revision and enlargement through the continuous application and analysis.

• 한국해양학회지:바다
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• 제25권4호
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• pp.132-159
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• 2020

다학제적인 해양연구가 활발하게 수행됨에 따라 다양한 종류의 해양연구시설·장비가 매년 구입되고 있다. 그러나 해양 연구시설·장비 중, 환경자료 수집 및 시료채취 등에 사용하는 다양한 종류의 현장 관측장비들을 현재의 국가연구시설·장비 표준분류체계로 분류하여 관리하는 데 어려움이 있다. 한국해양과학기술원의 경우 미분류상태로 적절히 관리되지 않는 연구시설·장비가 약 30% 정도이다. 본 연구에서는 해양 연구시설·장비를 특성에 따라 중분류군 7개와 소분류군 36개로 분류하고, 국가연구시설장비 표준분류체계에 의해 해양 연구시설·장비를 효율적으로 관리하기 위해 '환경관측/분석장비'라는 대분류군을 국가연구시설장비 표준분류체계에 추가하기를 제안한다. 그리고 해양 연구시설·장비 중 실험실에서 운영하는 장비들은 기존의 국가연구시설장비 표준분류체계에 따라 분류할 것을 제안한다. 이를 통하여 우리나라 전체의 해양관련 연구시설·장비를 체계적으로 분류하여 효과적으로 관리할 수 있을 것으로 기대한다.

• 한국융합학회논문지
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• 제5권1호
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• pp.35-41
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• 2014

An automatic speech recognition system is one of the popular research problems. There are many research groups working in this field for different language including Japanese. Japanese vowel recognition is one of important parts in the Japanese speech recognition system. The vowel classification system with the Mamdani fuzzy inference system was developed in this research. We tested our system on the blind test data set collected from one male native Japanese speaker and four male non-native Japanese speakers. All subjects in the blind test data set were not the same subjects in the training data set. We found out that the classification rate from the training data set is 95.0 %. In the speaker-independent experiments, the classification rate from the native speaker is around 70.0 %, whereas that from the non-native speakers is around 80.5 %.

• 한국임상약학회지
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• 제15권2호
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• pp.139-148
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• 2005

Appropriate drug classification is important fur rational drug consumption. This study was conducted to evaluate the appropriateness of current drug classification system and suggest possible ways for improving the system. Nonprescription drug market has been decreased. Since total 27,962 products had been classified (prescription 17,187 vs. nonprescription 10,775 products, 61.5% vs. 38.5%) in July 2000 for implementing separation of drug prescribing and dispensing system, there are no classification changes. Reclassification is not motivated by product holder and regulatory system did not lead classification change either. Consumers' ease access to some nonprescription drugs is demanded. But point of public awareness and cultural and health environmental views, saff drug use rather than advantages from broad supply of nonprescription drugs is more critical. We concluded that current 2-categorized (prescription and nonprescription) drug classification system is appropriate, and addition of general sale category should be approached carefully with long term Preparations such as establishment of better nonprescription drug consuming infrastructure by public information provision and education for improving public medicinal knowledge and strengthening self medication guidance, and review of current classification status of marketed drugs and switching possibilities. For systemizing and encouraging reclassification, introduction of regulatory renewal system as a continuous reevaluation program which is the best way to review appropriateness of drug classification as well as provision of detailed guidance for industry including policy, requirement and process fer reclassification application, are necessary.

• Journal of Korean Biological Nursing Science
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• 제16권4호
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• pp.342-348
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• 2014

Purpose: The purpose of this study was to examine the effects of pressure ulcer classification system education on hospital nurses' knowledge and visual discrimination ability of pressure ulcer classification system and incontinence-associated dermatitis. Methods: One group pre- and post-test was used. A convenience sample of 96 nurses participating in pressure ulcer classification system education, were enrolled in single institute. The education program was composed of a 50-minute lecture on pressure ulcer classification system and case-studies. The pressure ulcer classification system and incontinence-associated dermatitis knowledge test and visual discrimination tool, consisting of 21 photographs including clinical information were used. Paired t-test was performed using SPSS/WIN 18.0. Results: The overall mean difference of pressure ulcer classification system knowledge (t=4.67, p<.001) and visual discrimination ability (t=10.58, p<.001) were statistically and significantly increased after pressure ulcer classification system education. Conclusion: Overall understanding of pressure ulcer classification system and incontinence-associated dermatitis after pressure ulcer classification system education was increased, but tended to have lack of visual discrimination ability regarding stage III, suspected deep tissue injury. Differentiated continuing education based on clinical practice is needed to improve knowledge and visual discrimination ability for pressure ulcer classification system, and comparison experiment research is required to evaluate its effects.

• ETRI Journal
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• 제38권1호
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• pp.195-205
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• 2016

This paper presents a novel follicular unit (FU) classification method based on an angle variation of a boundary vector according to the number of hairs in several FU images. The recently developed robotic FU harvest system, ARTAS, classifies through digital imaging the FU type based on the number of hairs with defects in the contour and outline profile of the FU of interest. However, this method has a drawback in that the FU classification is inaccurate because it causes unintended defects in the outline profile of the FU. To overcome this drawback, the proposed method classifies the FU's type by the number of variation points that are calculated using an angle variation a boundary vector. The experimental results show that the proposed method is robust and accurate for various FU shapes, compared to the contour-outline profile FU classification method of the ARTAS system.