• Korean Journal of Plant Taxonomy
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• v.41 no.4
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• pp.415-428
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• 2011

The vascular flora in the Mt. Cheongtae area, located Pyeongchang-gun in Gangwon-do, were surveyed 14 times from April of 2008 to October of 2011. The result of this survey revealed 663 taxa in total, comprising 89 families, 342 genera, 577 species, 6 subspecies, 73 varieties and 7 forms. In the flora of this area, 19 taxa were Korean endemic plants and 24 taxa were rare and endangered plants of Korea. The floristic regional indicator plants found in this area were 136 taxa comprising 4 taxa of grade V, 16 taxa of grade IV, 31 taxa of grade III, 41 taxa of grade II and 44 taxa of grade I. Naturalized plants in Korea numbered37 taxa. In addition, 485 taxa were categorized by usage into 8 groups, as follows: 240 edible, 8 fiber, 177 medical, 60 ornamental, 245 pasturing, 2 industrial, 12 dyeing and 16 timer plants.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.04a
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• pp.75-75
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• 2019

본 연구에서는 DMZ 일원인 강원도 인제군 망태봉(771.4m) 일대를 중심으로 2018년 4월부터 10월까지 총 8회에 걸쳐 식물상 조사를 실시하였다. 관속식물은 76과 187속 235종 2아종 28변종 4품종으로 총 269분류군이 조사되었다. 분류군별로는 양치식물이 7과 21분류군, 나자식물이 1과 3분류군, 쌍자엽식물이 60과 208분류군, 단자엽식물이 8과 37분류군으로 확인되었다. 주요 식물로는 특산식물이 할미밀망(Clematis trichotoma), 무늬족도리풀(Asarum versicolor), 병꽃나무(Weigela subsessilis), 고려엉겅퀴(Cirsium setidens), 처녀치마(Heloniopsis koreana) 등 6분류군, 산림청 지정 희귀식물은 위기종(Endangered, EN)인 구실바위취(Saxifraga octopetala)와 관심대상종(Least Concern, LC)인 도깨비부채(Rodgersia podophylla)로 총 2분류군이 확인되었다. 기후변화취약종인 산림청 지정의 북방계식물은 회리바람꽃(Anemone reflexa), 피나물(Hylomecon vernalis), 돌단풍(Mukdenia rossii), 애기앉은부채(Symplocarpus nipponicus) 등 7분류군이 확인되었다. 침입외래식물은 생태계교란종인 돼지풀(Ambrosia artemisiifolia), 단풍잎돼지풀(Ambrosia trifida), 미국쑥부쟁이(Aster pilosus) 3분류군을 포함하여 총 7분류군이 조사되었다. 유용식물로는 용도가 뚜렷하지 않은 77분류군(28.6%)을 제외한 192분류군(71.4%)이 자원식물로서 이용가치가 있는 것으로 나타났다. 이들을 용도에 따라 구분해보면 식용 107분류군(39.8%), 섬유용 3분류군(1.1%), 약용 80분류군(29.7%), 관상용 32분류군(11.9%), 사료용 87분류군(32.3%), 산업용 2분류군(0.7%), 염료용 3분류군(1.1%), 목재용 7분류군(2.6%)으로 조사되었다.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.1
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• pp.221-247
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• 2013

The purpose of the study is to investigate and analyze the categories of online bookstores and to propose improvements. For the study, the category conformity was compared among eight Korean online bookstores selected; the book classification on the categories was compared from them. The results show that the category conformity was high among online bookstores, but the book classification on the categories was different on the bookstores. ISBN contents classification codes for books might not help to classify the books on the categories. Thus, the study proposes a new publication category for the book classification on categories of online bookstores.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.1
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• pp.57-79
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• 2013

The aim of this study is to reveal the categorizational and classificatory features of the subject-based classification (SBC) as a subject organization system. For this purpose, 12 SBC schemes of public libraries were selected and a comparative analysis was made between the traditional classification system, such as DDC and SBC in terms of the categorizational aspects, and canons for the classification. As a result, there were significant and considerable differences between the two types of classifications. This study concluded that SBC cannot be clearly explained and understood without a consideration of its essential and distinctive characteristics as a classification scheme.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.2
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• pp.415-434
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• 2006

This study aim to develop a classification system to classify the descriptors, which is been in korean literatures. Firstly this classification structure is categorized on six facets and the classification system is constructed on a deductive method based on korean literature knowledge. The study compared the classification system with various thesaurus's classification system in humane studies and by the comparison, the classification system of korean literature's terms find out having some merits as using the facet method. On account of these merits the classification system has achieved a consistency of categorization independently and reduced a complexity of classification structure. And by categorizing the common categories, the study has reduced the size of schedules. Finally, the classification system has advanced the structure in the process of classifying the descriptors.

• Journal of Korean Library and Information Science Society
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• v.40 no.4
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• pp.401-425
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• 2009

This study is intended to present methods improving the classification system of KDC architecture engineering fields after comparing and analyzing the academic system of architecture engineering, classification system of KDC, DDC, and LCC, and that of the research field classification system of National Research Foundation of Korea. The results of the analysis have revealed that it is required to improve and correct the KDC 5th edition of architectural engineering including the addition of classification items that reflect the trend of academic development, proper development in the rank classification terms of architectural structure engineering, addition of detailed subjects, selection of proper classification terms, errors of classification symbols and English expression, and omission of correlative indexes in the classification items. This study has proposed improved methods to solve those problems.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.439-441
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• 2004

이메일 사용이 보편화됨에 따라 점차 수신되는 메일의 량이 증가하고 있다. 이러한 메일 량의 증가는 사용자로 하여금 이메일을 좀더 효율적으로 분류할 수 있는 방법을 필요하게 한다. 그러나 현재의 이메일 분류는 규칙기반, 베이시안, SVM 등을 이용하여 스팸메일을 필터링 하는 이원분류가 주로 연구되고 있다. 이외에도 다원분류에 대한 연구로는 클러스터링을 이용한 방법이 있으나, 이는 단순히 유사도에 의해 메일을 묶는 수준에 그치고 있다. 본 논문에서는 벡터모델의 유사도를 기반으로 한 분류 주제 자동 생성 알고리즘과 동적분류체계 방법을 결합하여 새로운 이메일 자동 다원분류 방법을 제안했다. 본 논문에서 제안한 방법은 이메일을 자동으로 분류하여, 분류된 결과를 색인검색과 디렉토리 검색 방법을 지원하며 대량의 메일도 효율적으로 관리할 수 있다. 또한 메시지를 동적으로 재분류 할 수 있게 함으로써 디렉토리 검색시 재현율을 높였다.

• Journal of the Korean Society for information Management
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• v.22 no.2 s.56
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• pp.57-85
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• 2005

Bliss stated that one of the purposes of the classification was to demonstrate that a coherent and comprehensive system, based on the logical principles of classification and consistent with the systems of science and education, may be available to services in libraries, to aid revision of long established classifications and to provide an adaptable, efficient and economical classification, notation and index. A fundamental principle is the idea of subordination each specific subject is subordinated to the appropriate general one. The full scheme followed the publication of two massive theoretical works on the organization of knowledge. Its main feature was the carefully designed maul class order. reflecting Comte principle of gradation in speciality.

• The Korean Journal of Applied Statistics
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• v.27 no.5
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• pp.773-786
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• 2014

We propose the multiplication of false rates (MFR) which is a classification accuracy criteria and an area type of rectangle from ROC curve. Optimal threshold obtained using MFR is compared with other criteria in terms of classification performance. Their optimal thresholds for various distribution functions are also found; consequently, some properties and advantages of MFR are discussed by comparing FNR and FPR corresponding to optimal thresholds. Based on general cost function, cost ratios of optimal thresholds are computed using various classification criteria. The cost ratios for cost curves are observed so that the advantages of MFR are explored. Furthermore, the de nition of MFR is extended to multi-dimensional ROC analysis and the relations of classification criteria are also discussed.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.1
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• pp.58-62
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• 2015

Most blog sites provide predefined classes based on contents or topics, but few bloggers choose classes for their posts because of its cumbersome manual process. This paper proposes an automatic blog post classification method that variously combines term frequency, document frequency and class frequency from each classes to find appropriate weighting scheme. In experiment, combination of term frequency, category term frequency and inversed (excepted category's) document frequency shows 77.02% classification precisions.