• Title/Summary/Keyword: Linear Park

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3D Finite Element Analysis of Contact-less Power Supply with Linear Servo Motor

  • Woo, Kyung-Il;Park, Han-Seok;Park, Hyeong-Beom
    • Journal of Advanced Marine Engineering and Technology
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    • v.31 no.2
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    • pp.190-196
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    • 2007
  • This paper presents the 3D finite element analysis of the Contact-less Power Supply(CPS) with linear servo motor. The primary, secondary self and leakage inductances of the contact-less power supply and the capacitances of a resonant circuit are calculated by the finite element analysis using current source. The voltage source is used to do accurate analysis of the characteristics of the contact-less power supply. The CPS with the linear servo motor is proposed. The characteristics analysis of the contact-less power supply considering the linear servo motor is done.

Structural Optimization for Non-Linear Behavior Using Equivalent Static Loads (I) (선형 등가정하중을 이용한 비선형 거동 구조물의 최적설계 (I) - 알고리듬 -)

  • Park Ki-Jong;Park Gyung-Jin
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.29 no.8 s.239
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    • pp.1051-1060
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    • 2005
  • Nonlinear Response Optimization using Equivalent Static Loads (NROESL) method/algorithm is proposed to perform optimization of non-linear response structures. The conventional method spends most of the total design time on nonlinear analysis. The NROESL algorithm makes the equivalent static load cases for each response and repeatedly performs linear response optimization and uses them as multiple loading conditions. The equivalent static loads are defined as the loads in the linear analysis, which generates the same response field as those in non-linear analysis. The algorithm is validated for the convergence and the optimality. The proposed algorithm is applied to a simple mathematical problem to verify the convergence and the optimality.

OPTIMAL RESTRICTIONS ON REGRESSION PARAMETERS FOR LINEAR MIXTURE MODEL

  • Park, Sung-Hyun;Ahn, Jung-Yeon
    • Proceedings of the Korean Society for Quality Management Conference
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    • 1998.11a
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    • pp.239-250
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    • 1998
  • A method of finding optimal linear restriction on regression parameters in linear model for mixture experiments in the sense of minimizing integrated mean squared error is studied. We use the formulation of optimal restrictions on regression parameters for estimating responses proposed by Park(1981) by transforming mixture components to mathematically independent variables.

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Optimal Restrictions on Regression Parameters For Linear Mixture Model

  • Ahn, Jung-Yeon;Park, Sung-Hyun
    • Journal of the Korean Statistical Society
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    • v.28 no.3
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    • pp.325-336
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    • 1999
  • Collinearity among independent variables can have severe effects on the precision of response estimation for some region of interest in the experiments with mixture. A method of finding optimal linear restriction on regression parameter in linear model for mixture experiments in the sense of minimizing integrated mean squared error is studied. We use the formulation of optimal restrictions on regression parameters for estimating responses proposed by Park(1981) by transforming mixture components to mathematically independent variables.

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Comparison of Confidence Intervals on Variance Component In a Simple Linear Regression Model with Unbalanced Nested Error Structure

  • Park, Dong Joon;Park, Sun-Young;Han, Man-Ho
    • Communications for Statistical Applications and Methods
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    • v.9 no.2
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    • pp.459-471
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    • 2002
  • In applications using a linear regression model with nested error structure, one might be interested in making inferences concerning variance components. This article proposes approximate confidence intervals on the variance component of the primary level in a simple linear regression model with an unbalanced nested error structure. The intervals are compared using computer simulation and recommendations are provided for selecting an appropriate interval.

A Study on the Evaluation of Bird Habitat Environment in Gyeongchun Line Forest Road (경춘선 숲길의 조류 서식환경 평가 연구)

  • Kim, Mi-Hu;Oh, Choong-Hyeon
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.23 no.6
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    • pp.167-185
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    • 2020
  • The purpose of this study is to prepare a plan for improving the bird habitat environment of Linear Park. To this end, after grasping the status of bird habitats on the Gyeongchun Line Forest Road, a representative linear park in Seoul, the habitat environment was evaluated and the correlation with the bird habitat was analyzed to derive a plan to improve the habitat environment. The results for correlation between diversity of birds and habitat environment were as follows. For the habitat environment inside the park, the order of positive correlation was in the order of park area (0.92), number of insect species (0.87), green area ratio (0.77), average width of linear park (0.74), Biotope area ratio (0.73), Immigration planted species (0.57). Also, for habitat environment outside the park, the bird diversity was influenced in the order of area outside the park (0.88), green area ratio of the park (0.76). Thus, in order to enhance the diversity of birds found in the park, the bird habitat environment inside the park needs to expand the park area, secure insect diversity, enhance green area ratio and ecological area ratio, expand the width of linear park, and lower the impermeable layer. For the bird habitat environment outside the park, wider area, green area ratio, and forest area of the park influenced on better bird habitation while lower ratio of road space and building-to-land ratio influenced on higher bird diversity. It is necessary to create an environment inhabitable for various species of birds and to make a healthy and pleasant city urban system for co-existence of human and living creatures.

A new neural linearizing control scheme using radial basis function network (Radial basis function 회로망을 이용한 새로운 신경망 선형화 제어구조)

  • Kim, Seok-Jun;Lee, Min-Ho;Park, Seon-Won;Lee, Su-Yeong;Park, Cheol-Hun
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.5
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    • pp.526-531
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    • 1997
  • To control nonlinear chemical processes, a new neural linearizing control scheme is proposed. This is a hybrid of a radial basis function(RBF) network and a linear controller, thus the control action applied to the process is the sum of both control actions. Firstly, to train the RBF newtork a linear reference model is determined by analyzing the past operating data of the process. Then, the training of the RBF newtork is iteratively performed to minimize the difference between outputs of the process and the linear reference model. As a result, the apparent dynamics of the process added by the RBF newtork becomes similar to that of the linear reference model. After training, the original nonlinear control problem changes to a linear one, and the closed-loop control performance is improved by using the optimum tuning parameters of the linear controller for the linear dynamics. The proposed control scheme performs control and training simultaneously, and shows a good control performance for nonlinear chemical processes.

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Bootstrap Bandwidth Selection Methods for Local Linear Jump Detector

  • Park, Dong-Ryeon
    • Communications for Statistical Applications and Methods
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    • v.19 no.4
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    • pp.579-590
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    • 2012
  • Local linear jump detection in a discontinuous regression function involves the choice of the bandwidth and the performance of a local linear jump detector depends heavily on the choice of the bandwidth. However, little attention has been paid to this important issue. In this paper we propose two fully data adaptive bandwidth selection methods for a local linear jump detector. The performance of the proposed methods are investigated through a simulation study.

Variable Selection Theorems in General Linear Model

  • Yoon, Sang-Hoo;Park, Jeong-Soo
    • Proceedings of the Korean Statistical Society Conference
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    • 2005.11a
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    • pp.187-192
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    • 2005
  • For the problem of variable selection in linear models, we consider the errors are correlated with V covariance matrix. Hocking's theorems on the effects of the overfitting and the undefitting in linear model are extended to the less than full rank and correlated error model, and to the ANCOVA model

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Parallel Operation Characteristics of Two Linear Induction Motors (선형 유도전동기의 병렬 운전 특성 실험)

  • Park Seung-Chan;Kim Kyung-Min
    • Proceedings of the KSR Conference
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    • 2005.11a
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    • pp.44-48
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    • 2005
  • In general, the parallel-connected linear induction motors(LIM) are fed by one VVVF inverter in the magnetically levitated vehicle(MAGLEV) or linear motor subway drives. The air gap length of the parallel-connected linear induction motors operating at a grade or curved sections can be different each other. The air gap difference of the two motors attached to the same module causes unequal phase currents, asymmetic thrust and attraction force generation. In this paper, parellel-connected linear induction motors are operated by one IGBT inverter under the different air gap condition so that the phase current characteristics are examined experimentally.

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