• Title/Summary/Keyword: CONTAIN

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Simplified predictive control employing kalman filter

  • Shimizu, Hiroshi;Mori, Ryoichi
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.1879-1882
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    • 1991
  • Kalman Filter application to model predictive control is discussed. Most of refinery and petrochemical processes contain uncertainties in their output. Simplified state estimation algorithm is merged to model predictive control to improve overall control accuracy.

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A Procedure for Fitting Nonadditive Models

  • Seo, Han-Son
    • Communications for Statistical Applications and Methods
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    • 제7권2호
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    • pp.393-401
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    • 2000
  • Many graphical methods have been suggested for obtaining an impression of a curvature in regression problem in which some covariates enter nonlinearly. However when true model does not belong to the class of additive models, graphical methods may contain a serious bias. A method is suggested which can avoid such bias in the fitting of nonaddive models.

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Saponins Isolated from the Leguminosae Plants

  • Kang, Sam-Sik
    • 대한약학회:학술대회논문집
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    • 대한약학회 2002년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2
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    • pp.134-135
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    • 2002
  • Legumes are important agricultural and commercial crops characterized by root nodules formed as a result of the symbiotic relationship with nitrogen-fixing rhizobia. Due to the economic significance the chemistry of some of these species has been well recognized. Soybeans and processed soy products, which contain isoflavonoids and saponins, are of wide interest for their multifacted biological effects. (omitted)

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Discriminant Analysis with Icomplete Pattern Vectors

  • Hie Choon Chung
    • Communications for Statistical Applications and Methods
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    • 제4권1호
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    • pp.49-63
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    • 1997
  • We consider the problem of classifying a p x 1 observation into one of two multivariate normal populations when the training smaples contain a block of missing observation. A new classification procedure is proposed which is a linear combination of two discriminant functions, one based on the complete samples and the other on the incomplete samples. The new discriminant function is easy to use.

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지리사상을 위한 공간 데이터 모델 (Feature Data Model in GIS)

  • Mu, Choe-Jin
    • 대한지리학회:학술대회논문집
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    • 대한지리학회 2004년도 춘계학술대회
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    • pp.103-103
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    • 2004
  • With the emergency of geographic information systems (GIS), the traditional layer based data model can only contain the spatial geometry and thematic attributes of phenomena. In real world, geographic phenomena have not only spatial geometry and thematic attribute but the temporal situation and the relationship between each phenomenon. (omitted)

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