• 제목/요약/키워드: Alternative methods

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Centreless precision grinding of camshafts as an automated operation

  • Petterson, Roger;Lundberg, Torbjorn
    • 오토저널
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    • 제11권3호
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    • pp.8-12
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    • 1989
  • The development of a microprocessor-controlled centreless grinding station has opened the way for the production of automobile camshafts-from raw casting to precision-finished part-as a fully automated operation. This results in manufacture to finer tolerances, with part-to-part consistency and a floor-to-floor time of half that needed for alternative production methods. Shafts with a grinding length of up to 700 mm can be processed.

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최대유통문제에서 유전알고리듬을 적용한 치명호 결정방법

  • 정호연;김은영;안재근;박순달
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 1998년도 추계학술대회 논문집
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    • pp.282-285
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    • 1998
  • The purpose of this study is to present a method for determining the k most vital arcs in the maximum flow problem using a heuristic method. Generally, the problem which determine the k most vital arcs in maximum flow problem has known as NP-hard. Therefore, in this study we propose a method for determining all the k most vital arcs in maximum flow problem using a genetic algorithm. The proposed algorithm found all alternatives within shorter time than other heuristic methods. The method presented in this study can determine all the alternatives when there exists other alternative solutions.

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A Bayesian Test Criterion for the Behrens-Firsher Problem

  • Kim, Hea-Jung
    • Communications for Statistical Applications and Methods
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    • 제6권1호
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    • pp.193-205
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    • 1999
  • An approximate Bayes criterion for Behrens-Fisher problem (testing equality of means of two normal populations with unequal variances) is proposed and examined. Development of the criterion involves derivation of approximate Bayes factor using the imaginary training sample approachintroduced by Spiegelhalter and Smith (1982). The proposed criterion is designed to develop a Bayesian test criterion having a closed form, so that it provides an alternative test to those based upon asymptotic sampling theory (such as Welch's t test). For the suggested Bayes criterion, numerical study gives comparisons with a couple of asymptotic classical test criteria.

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Implementation of a Web-Based Electronic Text for High School's Probability and Statistics Education

  • Choi, Sook-Hee
    • Communications for Statistical Applications and Methods
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    • 제11권2호
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    • pp.329-343
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    • 2004
  • With advancement of computer and network, world wide web(WWW) as a medium of information communication is generalized in many fields. In educational aspect, applications of WWW as alternative media for class teachings or printed matters are increasing. In this article, we demonstrate a web-based electronic text on the 'probability and statistics' which is one of six fields of mathematics in the 7th curriculum. This text places importance on comprehension of concepts of probability and statistics as an applied science.

Effects of Changing Weighing Factor in a Two Stage Shrinkage Testimator for the Mean of an Exponential Distributions

  • Myung-Sang Moon
    • Communications for Statistical Applications and Methods
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    • 제5권3호
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    • pp.895-904
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    • 1998
  • Two stage shrinkage testimator is a kind of adaptive estimators based on a test on an initial estimate of parameter. Since weighing factor plays an important roll in assessing the properties of testimator, its choice is extremely crucial in two stage testimation. Adke, Waikar and Schuurmann(1987) proposed a testimator for the mean of an exponential distribution defined with their own weighing factor. Two alternative testimators obtained using changed weighing factors are presented, and their Mean squared error(MSE) formulae are provided in this paper. Their properties are compared with those of existing one by means of MSE.

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An Alternative Method of Regression: Robust Modified Anti-Hebbian Learning

  • Hwang, Chang-Ha
    • Journal of the Korean Data and Information Science Society
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    • 제7권2호
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    • pp.203-210
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    • 1996
  • A linear neural unit with a modified anti-Hebbian learning rule has been shown to be able to optimally fit curves, surfaces, and hypersurfaces by adaptively extracting the minor component of the input data set. In this paper, we study how to use the robust version of this neural fitting method for linear regression analysis. Furthermore, we compare this method with other methods when data set is contaminated by outliers.

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A Knowledge-Based System for Assembly Sequence Planning

  • Park, Hong-Seok
    • International Journal of Precision Engineering and Manufacturing
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    • 제1권2호
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    • pp.35-42
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    • 2000
  • To save time and cost in assembly process and to improve th quality of products, it is very important to choose and optimal assembly sequence. In this paper, we propose a methodology that generates an optimal assembly sequence by using various methods and the knowledge of experts. To illustrate the effectiveness of the proposed methodology, a knowledge-based system is developed, The built system is applied to the case of UBR(Unit Bath Room). The applying result showed the applicability of the developed system.

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Electron Gun Assembly;Alternative Grid Alignment Systems

  • Brantjes, Con;Zonneveld, Maarten
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2002년도 International Meeting on Information Display
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    • pp.376-378
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    • 2002
  • Within LG.Philips Displays electron gun assembly different grid alignment methods are used. Besides the commonly used mandrel alignment of grids (Inner Reference System, IRS), also a unique Outer Reference System (ORS) is used as grid alignment method in high-end gun assembly. This alignment method combines alignment accuracy with maximum electron optical design freedom and maximum flexibility in electron gun production.

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Test of Hypotheses based on LAD Estimators in Nonlinear Regression Models

  • Seung Hoe Choi
    • Communications for Statistical Applications and Methods
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    • 제2권2호
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    • pp.288-295
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    • 1995
  • In this paper a hypotheses test procedure based on the least absolute deviation estimators for the unknown parameters in nonlinear regression models is investigated. The asymptotic distribution of the proposed likelihood ratio test statistic are established voth under the null hypotheses and a sequence of local alternative hypotheses. The asymptotic relative efficiency of the proposed test with classical test based on the least squares estimator is also discussed.

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Classification Analysis in Information Retrieval by Using Gauss Patterns

  • Lee, Jung-Jin;Kim, Soo-Kwan
    • Communications for Statistical Applications and Methods
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    • 제9권1호
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    • pp.1-11
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    • 2002
  • This paper discusses problems of the Poisson Mixture model which Is widely used to decide the effective words in judging relevant document. Gamma Distribution model and Gauss Patterns model as an alternative of the Poisson Mixture model are studied. Classification experiments by using TREC sub-collection, WSJ[1,2] with MGQUERY and AidSearch3.0 system are discussed.