• Title/Summary/Keyword: scaling methods

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Constrained $L_1$-Estimation in Linear Regression

  • Kim, Bu-Yong
    • Communications for Statistical Applications and Methods
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    • v.5 no.3
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    • pp.581-589
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    • 1998
  • An algorithm is proposed for the $L_1$-estimation with linear equality and inequality constraints in linear regression model. The algorithm employs a linear scaling transformation to obtain the optimal solution of linear programming type problem. And a special scheme is used to maintain the feasibility of the updated solution at each iteration. The convergence of the proposed algorithm is proved. In addition, the updating and orthogonal decomposition techniques are employed to improve the computational efficiency and numerical stability.

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Generalized Cylinder based on Linear Interpolation by Direction Map

  • Kim, Hyun;Kim, Hyoung-Sun;Lee, Joo-Haeng
    • International Journal of CAD/CAM
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    • v.3 no.1_2
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    • pp.77-83
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    • 2003
  • We propose two algorithms to generate (1) polygonal meshes and (2) developable surface patches far generalized cylinders defined by contours of discrete curves. To solve the contour blending problem of generalized cylinder, the presented algorithms have adopted the algorithm and related properties of LIDM (linear interpolation by direction map) that interpolate geometric shapes based on direction map merging and group scaling operations. Proposed methods are fast to compute and easy to implement.

IMAGE RESIZING IN AN ARBITRARY TRANSFORM DOMAIN

  • Oh, Hyung-Suk;Kim, Won-Ha
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.44-48
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    • 2009
  • This paper develops a methodology for resizing image resolutions in an arbitrary block transform domain. To accomplish this, we represent the procedures resizing images in an arbitrary transform domain in the form of matrix multiplications from which the matrix scaling the image resolutions is produce. The experiments showed that the proposed method produces the reliable performances without increasing the computational complexity, compared to conventional methods when applied to various transforms.

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Some New Approaches to Consumer Acceptance Measurement as a Guide to Marketing

  • Lee, Hye-Seong;O'Mahony, Michael
    • Food Science and Biotechnology
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    • v.16 no.6
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    • pp.863-867
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    • 2007
  • The potential impact of the methods of sensory science on consumer testing and marketing is reviewed. Areas such as predicting purchase behavior, new approaches to scaling, and cross cultural effects are discussed. An example of the complexity of sensory measurement used to obtain consumer and marketing information is highlighted, using the simple paired preference test as an example.

혼합 유전알고리즘을 이용한 비선형 최적화문제의 효율적 해법

  • 윤영수;이상용
    • Journal of Korea Society of Industrial Information Systems
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    • v.1 no.1
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    • pp.63-85
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    • 1996
  • This paper describes the applications of genetic algorithm to nonlinear constrained optimization problems. Genetic algorithms are combinatorial in nature, and therefore are computationally suitable for treating continuous and idstrete integer design variables. For several problems , the conventional genetic algorithms are ill-defined , which comes from the application of penalty function , encoding and decoding methods, fitness scaling, and premature convergence of solution. Thus, we develope a hybrid genetic algorithm to resolve these problems and present two examples to demonstrate the effectiveness of the methodology developed in this paper.

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Problems and Control Measures of Industrial Cooling Water (공업용 냉각수의 문제점과 처리법)

  • Bae, Jong-Su;Lee, Gyu-Hwa
    • 한국기계연구소 소보
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    • s.16
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    • pp.117-126
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    • 1986
  • Trouble-free operation of cooling water systems is essential for efficient pro¬duction in most industrial facilities. Improper water treatments frequently cause such problems as corrosion, scaling, fouling and slime formation. Water quality, methods of cooling and materials of construction in the cooling circuit should be carefully studied before making selection of the water treatment programs. This paper reviewed cooling water problems encountered frequently in the open recirculating cooling systems and discussed the counter measures how to cope with them.

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L$_\infty$-estimation based Algorithm for the Least Median of Squares Estimator

  • Bu Young Kim
    • Communications for Statistical Applications and Methods
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    • v.3 no.2
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    • pp.299-307
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    • 1996
  • This article is concerned with the algorithms for the least median of squares estimator. An algorithm based on the $L{\infty}$ .inf.-estimation procedure is proposed in an attempt to improve the optimality of the estimate. And it is shown that the proposed algorithm yields more optimal estimate than the traditional resampling algorithms. The proposed algorithm employs a linear scaling transformation at each iteration of the$L{\infty}$-algorithm to deal with its computational inefficiency problem.

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New Optimal Tuning Method of IMC-PID for SI/SO Systems (단일 입출력 시스템에 대한 IMC-PID의 새로운 최적 동조법)

  • Kim, Chang-Hyun;Lim, Dong-Kyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.05a
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    • pp.213-217
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    • 2008
  • In this paper, a new design method for IMC-PID that adds a phase scaling factor of system identifications to the standard IMC-PID controller as a control parameter is proposed. Based on analytically derived frequency properties such as gain, phase margin and maximum magnitude of sensitivity function, this tuning rule is an optimal control method determining the optimum values of controlling factors to minimize the cost function, integral error criterion of the step response in time domain, in the constraints of design parameters to guarantee qualified frequency design specifications. The proposed controller improves existing single-parameter design methods of IMC-PID in the inflexibility problem to be able to consider various design specifications. Its effectiveness is examined by a simulation example, where a comparison of the performances obtained with the proposed tuning rule and with other common tuning rules is shown.

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Changing Image Resolution In A Block Transform Domain (임의의 직교 블록 변환 영역에서의 영상 크기 변환 방법)

  • Lee, Nam-Koo;Oh, Hyung-Suk;Kim, Won-Ha
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.1
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    • pp.49-55
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    • 2009
  • This paper develops a methodology for resizing the resolution of an image in an arbitrary block transform domain. To accomplish this, we represent the procedures resizing images in an orthogonal transform domain in the form of matrix multiplications from which the matrix scaling the image resolutions is produce. The experiments showed that the proposed method produces the reliable performances without increasing the computational complexity, compared to conventional methods when applied to various transforms.