• Title/Summary/Keyword: 4 parameter method

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Estimation of Camera Motion Parameter using Invariant Feature Models (불변 특징모델을 이용한 카메라 동작인수 측정)

  • Cha, Jeong-Hee;Lee, Keun-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.4 s.36
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    • pp.191-201
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    • 2005
  • In this paper, we propose a method to calculate camera motion parameter, which is based on efficient invariant features irrelevant to the camera veiwpoint. As feature information in previous research is variant to camera viewpoint. information content is increased, therefore, extraction of accurate features is difficult. LM(Levenberg-Marquardt) method for camera extrinsic parameter converges on the goat value exactly, but it has also drawback to take long time because of minimization process by small step size. Therefore, in this paper, we propose the extracting method of invariant features to camera viewpoint and two-stage calculation method of camera motion parameter which enhances accuracy and convergent degree by using camera motion parameter by 2D homography to the initial value of LM method. The proposed method are composed of features extraction stage, matching stage and calculation stage of motion parameter. In the experiments, we compare and analyse the proposed method with existing methods by using various indoor images to demonstrate the superiority of the proposed algorithm.

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Comparison of Rotor Flux Observer Characteristics in Induction Motor Using Parameter Sensitivity (파라미터 민감도를 이용한 유도전동기 회전자 자속관측기의 특성 비교)

  • 최종우;남현택;박용환;김흥근
    • The Transactions of the Korean Institute of Power Electronics
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    • v.7 no.4
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    • pp.377-383
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    • 2002
  • To obtain a high performance in a direct vector controlled induction machine, it is essential to obtain the current rotor flux. The accuracy of flux observers for induction machines inherently depends on parameter sensitivity. This paper proposes an analysis method for conventional flux observers using "parameter sensitivity". The "parameter sensitivity" is defined as the ratio of the percentage change in the system transfer function to the percentage change of the parameter variation. We define the ratio between real flux and estimated no as the transfer function, and analyze a parameter sensitivity of this transfer function. Practical verification is presented to conform the capabilities of the proposed analysis method.sed analysis method.

Estimation in Mixture of Shifted Poisson Distributions

  • Oh, Chang-Hyuck
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.4
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    • pp.1209-1217
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    • 2006
  • For the mixture of shifted Poisson distributions, a method of parameter estimation is proposed. The range of the shifted parameters are estimated first and for each shifted parameter set EM algorithm is applied to estimate the other parameters of the distribution. Among the estimated parameter sets, one with minimum likelihood for given data is to be set as the final estimate. In simulation experiments, the suggested estimation method shows to have a good performance.

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Maximum penalized likelihood estimation for a stress-strength reliability model using complete and incomplete data

  • Hassan, Marwa Khalil
    • Communications for Statistical Applications and Methods
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    • v.25 no.4
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    • pp.355-371
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    • 2018
  • The two parameter negative exponential distribution has many practical applications in queuing theory such as the service times of agents in system, the time it takes before your next telephone call, the time until a radioactive practical decays, the distance between mutations on a DNA strand, and the extreme values of annual snowfall or rainfall; consequently, has many applications in reliability systems. This paper considers an estimation problem of stress-strength model with two parameter negative parameter exponential distribution. We introduce a maximum penalized likelihood method, Bayes estimator using Lindley approximation to estimate stress-strength model and compare the proposed estimators with regular maximum likelihood estimator for complete data. We also introduce a maximum penalized likelihood method, Bayes estimator using a Markov chain Mote Carlo technique for incomplete data. A Monte Carlo simulation study is performed to compare stress-strength model estimates. Real data is used as a practical application of the proposed model.

Simulations of Frequency-dependent Impedance of Ground Rods Considering Multi-layered Soil Structures

  • Lee, Bok-Hee;Joe, Jeong-Hyeon;Choi, Jong-Hyuk
    • Journal of Electrical Engineering and Technology
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    • v.4 no.4
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    • pp.531-537
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    • 2009
  • Lightning has a broad frequency spectrum from DC to a few MHz. Consequently, the high frequency performance of grounding systems for protection against lightning should be evaluated, with the distributed parameter circuit model in a uniform soil being used to simulate grounding impedances. This paper proposes a simulation method which applies the distributed parameter circuit model for the frequency-dependent impedance of vertically driven ground rods by considering multi-layered soil structures where ground rods are buried. The Matlab program was used to calculate the frequency-dependent ground impedances for two ground rods of different lengths. As a result, an increase of the length of ground rod is not always followed by a decrease of grounding impedance, at least at a high frequency. The results obtained using the newly proposed simulation method considering multi-layered soil structures are in good agreement with the measured results.

Noise Analysis of Intake System by Hybrid Method (하이브리드 방법을 이용한 배기계 소음 해석)

  • 이장명;한성수;임학종
    • Journal of KSNVE
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    • v.9 no.2
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    • pp.310-316
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    • 1999
  • 4-Pole parameter method based on an acoustic theory is very popular for the analysis of the acoustic behavior of the car exhaust system. However, this method is applicable only for the simple shape of acoustic elements of the muffler. Numerical methods such as FEM(Finite Element Method) or BEM(Boundary Element Method) can also provide acceptable results for the acoustic analysis of the car exhaust system. Even though these numerical methods have benefits for the analysis of complicated shape of acoustic elements of the muffler, time consuming is another problem during modeling and numerical calculation. Combining benefits of both methods, the new code called the hybrid method for car exhaust system is introduced. And the developed code is utilized for calculation of the transmission loss of a main muffler of an automobile comparing with the experimental results.

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Performance Improvement of Synchronous Generator using Exciter Control with Field Coils Parameter Estimation Technique (계자코일 파라메터추정 기법을 이용한 동기발전기의 성능개선)

  • Kang, Seong-Hyun;Park, Seong-Mi;Lee, Hwa-Chun;Park, Sung-Jun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.27 no.4
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    • pp.31-40
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    • 2013
  • This paper proposes a performance improvement of synchronous generator using exciter control with field coils parameter estimation technique. In general, the generator excitation system controller uses the PID controller. When the Field winding impedance changed, the PID gains must be changed. General method is difficult to apply varying capacity of the synchronous generator. The proposed control method determine automatically measure the internal impedance of the synchronous generator's exciter and configure the controller. This method can be applied regardless of the generator capacity. So it is possible to apply a variety of synchronous generator systems. The validity of the proposed algorithm is verified by simulations and experiments.

MULTI-PARAMETER TIKHONOV REGULARIZATION PROBLEM WITH MULTIPLE RIGHT HAND SIDES

  • Oh, SeYoung;Kwon, SunJoo
    • Journal of the Chungcheong Mathematical Society
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    • v.33 no.4
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    • pp.505-516
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    • 2020
  • This study shows that image deblurring problems can be transformed into the multi-parameter Tikhonov type with multiple right hand sides. Also, this paper proposes the extension of the global generalized cross validation to obtain an appropriate choice of the regularization parameters for this problem. The experimental results of using the preconditioned Gl-CGLS algorithm were analyzed.

Maneuvering Target Tracking in Uncertain Parameter Systems Using RoubustH_\inftyFIR Filters (견실한$H_\infty$FIR 필터를 이용한 불확실성 기동표적의 추적)

  • Yoo, Kyung-Sang;Kim, Dae-Woo;Kwon, Oh-Kyu
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.3
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    • pp.270-277
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    • 1999
  • This paper deals with the maneuver detection and target tracking problem in uncertain parameter systems using a robust{{{{ { H}_{ } }}}} FIR filter to improve the unacceptable tracking performance due to the parametr uncertainty. The tracking filter used in the current paper is based on the robust{{{{ { H}_{ } }}}} FIR filter proposed by Kwon et al. [1,2] to estimate the state signal in uncertain systems with parameter uncertainty, and the basic scheme of the proposed method is the input estimation approach. Tracking performance of the maneuver detection and target tracking method proposed is compared with other techniques, Bogler allgorithm [4] and FIR tracking filter [2], via some simulations to examplify the good tracking performance of the proposed method over other techniques.

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Natural Frequency Analysis of Arch by Galerkin's Method (갤러킨법을 이용한 아치의 고유진동해석)

  • Jung, Chan-Woo;Seok, Keun-Yung;Kang, Joo-Won
    • Journal of Korean Association for Spatial Structures
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    • v.7 no.4
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    • pp.55-61
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    • 2007
  • Recently, with the development of computer, FEM has became the most frequently used numerical analysis method. FEM shows great ability in structures analysis, however, Galerkin's Method is more useful in grasping influence or the tendency of parameter which forms the structure. This paper perform the eigenvalue analysis using Galerkin's Method which is advantageous in grasping the influence and the tendency of parameter which forms the structure and study on the influence of parameter that forms arch on natural frequency response.

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