• Title/Summary/Keyword: Classification Scheme

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A design of binary decision tree using genetic algorithms and its applications (유전 알고리즘을 이용한 이진 결정 트리의 설계와 응용)

  • 정순원;박귀태
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.6
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    • pp.102-110
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    • 1996
  • A new design scheme of a binary decision tree is proposed. In this scheme a binary decision tree is constructed by using genetic algorithm and FCM algorithm. At each node optimal or near-optimal feature subset is selected which optimizes fitness function in genetic algorithm. The fitness function is inversely proportional to classification error, balance between cluster, number of feature used. The binary strings in genetic algorithm determine the feature subset and classification results - error, balance - form fuzzy partition matrix affect reproduction of next genratin. The proposed design scheme is applied to the tire tread patterns and handwriteen alphabetic characters. Experimental results show the usefulness of the proposed scheme.

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Tire Tread Pattern Classification Using Fuzzy Clustering Algorithm (퍼지 클러스터링 알고리즘을 이용한 타이어 접지면 패턴의 분류)

  • Kang, Yoon-Kwan;Jung, Soon-Won;Bae, Sang-Wook;Park, Tae-Hong;Kim, Min-Gi;Park, Gwi-Tae
    • Proceedings of the KIEE Conference
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    • 1993.07a
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    • pp.439-441
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    • 1993
  • A tire tread pattern recognition scheme of which the pattern recognition algorithm is designed based on the fuzzy hierarchical clustering method is proposed and compared with the scheme based on the conventional FCM. The features are extracted from the binary images of the tire tread patterns. In the proposed scheme, the protoypes are obtained more easily and schematically than obtained prototypes using FCM. The experimental results of classification for the practical situations are given and shows the usefulness of the proposed scheme.

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Neural Hamming MAXNET Design for Binary Pattern Classification (2진 패턴분류를 위한 신경망 해밍 MAXNET설계)

  • 김대순;김환용
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.12
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    • pp.100-107
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    • 1994
  • This article describes the hardware design scheme of Hamming MAXNET algorithm which is appropriate for binary pattern classification with minimum HD measurement between stimulus vector and storage vector. Circuit integration is profitable to Hamming MAXNET because the structure of hamming network have a few connection nodes over the similar neuro-algorithms. Designed hardware is the two-layered structure composed of hamming network and MAXNET which enable the characteristics of low power consumption and fast operation with biline volgate sensing scheme. Proposed Hamming MAXNET hardware was designed as quantize-level converter for simulation, resulting in the expected binary pattern convergence property.

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Classification and Nomenclature of Raw Food Materials for Tolerance Setting of Chemical Residues and Contaminants (잔류기준 설정을 위한 식품원료의 분류 및 명칭)

  • Lee, Su-Rae
    • Korean Journal of Environmental Agriculture
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    • v.19 no.3
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    • pp.259-269
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    • 2000
  • Raw food materials including agricultural, fishery and livestock products have been classified differently from either production or consumption aspects. Though a unified classification scheme based on residue potential of chemicals such as pesticides, veterinary drugs and environmental contaminants is needed for tolerance setting and regulatory work, diverse classification of food mateials brought about much confusion. This study attempted to point out problems encountered in applying the residue limits toward several food commodities and to propose more reasonable classification of food materials in accommodation of Codex standards. Some suggestions were proposed in establishing residue limits of chemicals including pesticides on the basis of food classification scheme attempted here.

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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 Improved 2-D Moment Algorithm for Pattern Classification

  • Yoon, myoung-Young
    • Journal of Korea Society of Industrial Information Systems
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    • v.4 no.2
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    • pp.1-6
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    • 1999
  • We propose a new algorithm for pattern classification by extracting feature vectors based on Gibbs distributions which are well suited for representing the characteristic of an images. The extracted feature vectors are comprised of 2-D moments which are invariant under translation rotation, and scale of the image less sensitive to noise. This implementation contains two puts: feature extraction and pattern classification First of all, we extract feature vector which consists of an improved 2-D moments on the basis of estimated Gibbs distribution Next, in the classification phase the minimization of the discrimination cost function for a specific pattern determines the corresponding template pattern. In order to evaluate the performance of the proposed scheme, classification experiments with training document sets of characters have been carried out on SUN ULTRA 10 Workstation Experiment results reveal that the proposed scheme had high classification rate over 98%.

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Bibliographical Description and Classification Indexing For Revolutionary Historical Archives in China(2) (중국의 혁명역사기록물의 목록기술과 검색분류(2))

  • Lee, Seung-hwi
    • The Korean Journal of Archival Studies
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    • no.5
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    • pp.209-242
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    • 2002
  • Bibliographical Description for Revolutionary Historical Archives is created to describe records at the item level. It defines descriptive elements, punctuations, formats and methods. Descriptive elements are composed of 20 elements, each of which is either mandatory or optional. Mandatory elements are: repositories codes, documents codes, dates, creators, title, classification codes, and subject vocabularies. Abstracts were previously included in card cataloging and are removed in the computerized system. New elements, such as "uncontrolled vocabularies," "name of places," "personal names," "organizational structures" and "meetings," are added to allow keyword search. Considering that subject vocabulary searches are the most important in computerized systems, however, Guidelines for the Subject Indexing for Revolutionary Historical Archives as well as Subject Headings, as a result from the Guidelines, are created. The most extraordinary features in Chinese archival description are said to be the Guidelines for the Classification Indexing for Revolutionary Historical Archives and Materials as well as the Classification Scheme, both of which are created to allow subject search of records content. It is because Chinese practice of records management distinguishes the classification for arrangement from that for retrieval. Chinese archival description is, therefore, composed of bibliographic description rules, subject headings, and the classification scheme for retrieval.

A Study on Image Pixel Classification Using Directional Scales (방향성 정보 척도를 이용한 영상의 픽셀분류 방법에 관한 연구)

  • 박중순;김수겸
    • Journal of Advanced Marine Engineering and Technology
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    • v.28 no.4
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    • pp.587-592
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    • 2004
  • Pixel classification is one of basic issues of image processing. The general characteristics of the pixels belonging to various classes are discussed and the radical principles of pixel classification are given. At the same time, a pixel classification scheme based on image information scales is proposed. The proposed method is overcome that computation amount become greater and contents easily get turned. And image directional scales has excellent anti-noise performance. In the result of experiment. good efficiency is showed compare with other methods.

Study on scheme for screening, quantification and interpretation of trace amounts of hazardous inorganic substances influencing hazard classification of a substance in REACH registration (REACH 물질 등록 시 분류에 영향을 주는 미량 유해 무기물질의 스크리닝·정량·해석을 위한 체계도 연구)

  • Kwon, Hyun-ah;Park, Kwang Seo;Son, Seung Hwan;Choe, Eun Kyung;Kim, Sanghun
    • Analytical Science and Technology
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    • v.32 no.6
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    • pp.233-242
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    • 2019
  • Substance identification is the first step of the REACH registration. It is essential in terms of Classification, Labelling and Packaging (CLP) regulation and because even trace amounts of impurities or additives can affect the classification. In this study, a scheme for the screening, quantification, and interpretation of trace amounts of hazardous inorganic substances is proposed to detect the presence of more than 0.1% hazardous inorganic substances that have been affecting the hazard classification. An exemplary list of hazardous inorganic substances was created from the substances of very high concern (SVHCs) in REACH. Among 201 SVHCs, there were 67 inorganic SVHCs containing at least one or ~2-3 heavy metals, such as As, Cd, Co, Cr, Pb, Sb, and Sn, in their molecular formula. The inorganic SVHCs are listed in excel format with a search function for these heavy metals so that the hazardous inorganic substances, including each heavy metal and the calculated ratio of its atomic weight to molecular weight of the hazardous inorganic substance containing it, can be searched. The case study was conducted to confirm the validity of the established scheme with zinc oxide (ZnO). In a substance that is made of ZnO, Pb was screened by XRF analysis and measured to be 0.04% (w/w) by ICP-OES analysis. After referring to the list, the presence of Pb was interpreted just as an impurity, but not as an impurity relevant for the classification. Future studies are needed to expand on this exemplary list of hazardous inorganic substances using proper regulatory data sources.

The Automatic Management of Classification Scheme with Interoperability on Heterogeneous Data (이기종 데이터 간 상호운용적 분류체계 관리를 위한 분류체계 자동화 방안)

  • Lee, Won-Goo;Hwang, Myung-Gwon;Lee, Min-Ho;Shin, Sung-Ho;Kim, Kwang-Young;Yoon, Hwa-Mook;Sung, Won-Kyung;Jeon, Do-Heon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.12
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    • pp.2609-2618
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    • 2011
  • Under the knowledge-based economy in 21C, the convergence and complexity in science and technology are being more active. Interoperability between heterogeneous domains is a very important point considered in the field of scholarly information service as well information standardization. Thus we suggest the systematic solution method to flexibly extend classification scheme in order for content management and service organizations. Especially, This paper shows that automatic method for interoperability between heterogeneous scholarly classification code structures will be effective in enhancing the information service system.