• Title/Summary/Keyword: 분류법 연구

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The Improvements of the Social Welfare Field in the 6th Edition of KDC (한국십진분류법 제6판 사회복지학 분야의 분류체계 수정 전개 방안)

  • Kim, Jeong-Hyen
    • Journal of Korean Library and Information Science Society
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    • v.48 no.3
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    • pp.63-81
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    • 2017
  • This study investigated general problems concerning the social welfare field in the KDC 6th edition based comparative analysis academic characteristics and classification system, and suggested on some ideas for the improvements of them. Results of the study are summarized as follows. First, a main field of the social welfare is generally divided into a general social welfare, social works, and social welfare services to special classes and groups including people with disabilities, young people, aged, women, and families. Second, I analyzed on social welfare from the collection database at the National Library of Korea. Based on analysis of the data. the keyword frequency of social welfare policy and management, pensions, care services, and support works for the underprivileged was relatively high. Third, modified classification of items was basically performed through the academic characteristics of the social welfare and the keyword analysis, and maintaining the existing KDC classification system caused less confusion as much as possible.

Matching-Table-Construction of Hazardous Meterial and Coding Development (위험물 매칭테이블 구축 및 코드화 방안)

  • An, Chan-Gi;Jeong, Seong-Bong;Park, Jong-Seo;Jang, Seong-Yong
    • Proceedings of the Safety Management and Science Conference
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    • 2012.04a
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    • pp.435-446
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    • 2012
  • 생활을 향상시키고 개선하기 위해 화학물질은 전 세계적으로 널리 이용 되고 있고, 또한 국내에는 38,000여종의 화학물질이 유통되고 있다. 그러나 화학물질은 그 이점에도 불구하고 사람이나 환경에 유해 영향을 가져올 가능성이 있어 위험물안전관리법에서는 3,000여종을 위험물로 분류하여 규제하고 있다. 위험물에 관련하여 유해화학물질관리법, 위험물안전관리법, 고압가스안전관리법, 총포 도검 화약류단속법, 원자력 진흥법, 농약관리법 등에서 개별적으로 규정하고 분류하고 있어 위험물질에 대한 표지사항이 해당 부처에 따라 상이하여 혼란을 야기하고 있고, 위험물에 대한 품목 및 품명의 고정으로 인하여 새롭게 생성된 위험물질에 대해 적용하는 데 문제점이 있다. 이에 의해 위험물질을 개별법에 따라 관리함으로써 중복된 위험물질 분류 및 관리의 문제가 있으며, 위험물질 분류에 있어서 위험물질에 따라 수송수단이 상이함에도 불구하고 수송수단별(도로, 철도, 해운, 항공) 위험물질에 대한 세분화된 자료가 부족하다. 따라서 수송관점에서 표준화된 위험물 물질정보의 분류와 코드화 방안개발이 필요하다. 본 연구는 국내 외 문헌 검토 및 위험물에 관련된 법제도 비교를 통하여 위험물 수송관리체계 정비방안과 위험물 수송사고의 문제점을 도출하고 기존의 위험물 분류체계에서 운송관점에서의 위험물 매칭테이블을 구축하고 신속한 사고대응을 위한 위험물질별 코드화 방안을 제안하도록 하겠다.

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A Study on Expansion of Headings of Korean Decimal Classification Based Upon the Analysis of Directory Classifications of Internet Resources in Food and Culture (음식문화 분야 인터넷자원 분류체계 분석을 통한 한국십진분류법의 항목명 확장에 관한 연구)

  • Chung, Yeon-Kyoung;Lee, Mi-Hwa
    • Journal of the Korean Society for information Management
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    • v.27 no.4
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    • pp.49-69
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    • 2010
  • Library classification system is based upon academic disciplines, However, it is difficult to classify for Internet resources due to its lack of up-to-datedness and practicality. Especially, headings of Korean Decimal Classification need to reflect practical aspects and it should be also developed for classification of web based resources. The purposes of this study are to analyze the structures of directory classifications in Internet resources and to suggest additional headings of KDC as a practical library classification as well as a classification system for internet resources. Directory classification systems of Naver, Yahoo, Kyobo Internet book store, Amazon were selected and their food and culture subjects were analyzed for this study. The headings of KDC were compared to them and new possible headings were suggested with reference of NDC and DDC in the area of food and culture. This study provided a way of developing KDC for a classification system for Internet resources as well as library materials.

Machine Learning Methods to Predict Vehicle Fuel Consumption

  • Ko, Kwangho
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.9
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    • pp.13-20
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    • 2022
  • It's proposed and analyzed ML(Machine Learning) models to predict vehicle FC(Fuel Consumption) in real-time. The test driving was done for a car to measure vehicle speed, acceleration, road gradient and FC for training dataset. The various ML models were trained with feature data of speed, acceleration and road-gradient for target FC. There are two kind of ML models and one is regression type of linear regression and k-nearest neighbors regression and the other is classification type of k-nearest neighbors classifier, logistic regression, decision tree, random forest and gradient boosting in the study. The prediction accuracy is low in range of 0.5 ~ 0.6 for real-time FC and the classification type is more accurate than the regression ones. The prediction error for total FC has very low value of about 0.2 ~ 2.0% and regression models are more accurate than classification ones. It's for the coefficient of determination (R2) of accuracy score distributing predicted values along mean of targets as the coefficient decreases. Therefore regression models are good for total FC and classification ones are proper for real-time FC prediction.

A Study on Classification of SPOT Satellite images (SPOT 위성영상의 분류 기법 연구)

  • 김감래;김훈정;박세진
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.11a
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    • pp.167-171
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    • 2004
  • 최근 들어 위성영상은 자료 처리 방식에 따라 지구표면이나 또는 지하면에 대한 다양한 정보(물리적인 정보, 화학적인 정보)를 얻을 수 있고 실제 지구를 가상으로 구현하는 데 활용될 수 있기 때문에 여러 산업에서 활용하고 있다. 또한 분류는 영상에 포함된 여러 가지 대상물을 구별하기 위해서 화소와 비교적 성질이 같은 화소 그룹별 특징에 대응되는 레벨을 지정하는 기술이 요구되며, 최소거리 분류법, 평행사변형법, 마하나로비스거리법(Mahanalobis Distance Method), 최대우도법(Maximum Likelihood Method)등 비교하여 분류를 수행

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A Study on the Classification of Agriculture (농학분야의 문헌분류 체계에 관한 연구)

  • 김정현;이명규
    • Journal of Korean Library and Information Science Society
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    • v.34 no.1
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    • pp.239-260
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    • 2003
  • The purpose of this study is to devise a classification scheme to arrange the agricultural information efficiently. In the first part it defines the agricultural science and studies the content and system of the agricultural science. It compares current KDC with DDC, UDC and NDC used to agriculture parts, and it studies AGRICOLA SCC. On the basis of it, this study is displayed the new classification for the agricultural science. The new classification scheme Is classified by the basic theories related to agriculture, agriculture of plants, animal agriculture, food products, and auxiliary disciplines in turn. The number of main divisions are set up 23 items.

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An Analysis of Cartographic Materials Area in LCC and Some Suggestions on Their Applicable Principles into KDC (LCC 지도자료 분류의 특성과 KDC에서의 적용 방안)

  • Lee, Chang-Soo
    • Journal of Korean Library and Information Science Society
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    • v.38 no.3
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    • pp.161-181
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    • 2007
  • This study examined the changes, development and characteristics of the cartographic materials field in LCC as a suggestion of an ideal classification scheme which is necessary for classily the cartographic materials in libraries. The main purpose this study is to suggest how to apply the examination results to the related subject field in KDC focused on the integration and subdivision of area table and developing subject subdivision table.

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A Study on the Advanced Classification and Naming Convention of Malicious Code (개선된 악성 코드 분류지침 및 명명법에 관한 연구)

  • Kwak, Hyo-Seung;Kim, Pan-Koo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.11b
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    • pp.1095-1098
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    • 2002
  • 국내외 카 백신업체별로 악성 코드의 분류 체계가 마련되어 있지만 각각의 백신업체별로 분류 체계가 차이가 있고 또한 도스 운영체제 때부터 사용한 분류 체계를 그대로 사용하여 현재의 악성 코드 분류와는 많은 차이를 보이고 있다. 이러한 백신업체들의 악성 코드 분류를 정착하게 분류하는 방법으로 본 논문에서 새로운 악성 코드 분류지침과 분류지침에 의한 명명법을 제안한다. 본 논문에서 제안한 분류지침을 토대로 안티-바이러스 산업 및 악성 코드 연구를 활성화시키는 정책 수립의 기초 자료를 사용한 수 있으며, 악성 코드 정보의 체계화 통합화 표준화 등에 기여할 수 있다.

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Forensic Classification of Latent Fingerprints Applying Laser-induced Plasma Spectroscopy Combined with Chemometric Methods (케모메트릭 방법과 결합된 레이저 유도 플라즈마 분광법을 적용한 유류 지문의 법의학적 분류 연구)

  • Yang, Jun-Ho;Yoh, Jai-Ick
    • Korean Journal of Optics and Photonics
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    • v.31 no.3
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    • pp.125-133
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    • 2020
  • An innovative method for separating overlapping latent fingerprints, using laser-induced plasma spectroscopy (LIPS) combined with multivariate analysis, is reported in the current study. LIPS provides the capabilities of real-time analysis and high-speed scanning, as well as data regarding the chemical components of overlapping fingerprints. These spectra provide valuable chemical information for the forensic classification and reconstruction of overlapping latent fingerprints, by applying appropriate multivariate analysis. This study utilizes principal-component analysis (PCA) and partial-least-squares (PLS) techniques for the basis classification of four types of fingerprints from the LIPS spectra. The proposed method is successfully demonstrated through a classification example of four distinct latent fingerprints, using discrimination such as soft independent modeling of class analogy (SIMCA) and partial-least-squares discriminant analysis (PLS-DA). This demonstration develops an accuracy of more than 85% and is proven to be sufficiently robust. In addition, by laser-scanning analysis at a spatial interval of 125 ㎛, the overlapping fingerprints were separated as two-dimensional forms.

A Study on Building Internal Tables in Christianity of the 5th Edition of Korean Decimal Classification (기독교 분야 내부보조표 설정에 관한 연구 - 한국십진분류법 제5판을 중심으로 -)

  • Jeong, Yu Na;Chung, Yeon-Kyoung
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.3
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    • pp.29-51
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    • 2013
  • The purpose of this study is to develop internal tables in Christian religion in the 5th edition of Korean Decimal Classification. The scope of the Christianity, its structure of various classification schemes, and the concepts of internal tables were analyzed. The contents of several textbooks were analyzed for the scope of the discipline and the classification schemes and internal tables of DDC, UDC, NDC, LCC, Classification of the Library of Union Theological Seminary and the Classification of the Korea Theological Library were compared. And then, internal tables in Bible, sermon, worship, church history were built and those tables were evaluated by librarians and experts in the fields. And finally, internal tables of the Christiainity and new headings were suggested. New internal tables in Christianity will increase the effectiveness of information retrieval and it will provide a foundation for developing internal tables in other disciplines.