• Title/Summary/Keyword: S-Parameter

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Finite Element Modeling and Parameter Measurements of Synchronous Reluctance Motor (자기저항 동기전동기의 유한요소 모델링 및 정수 측정)

  • Hong, J.P.;Hahn, S.C.;Joo, S.W.
    • Proceedings of the KIEE Conference
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    • 1998.07a
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    • pp.22-24
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    • 1998
  • The Synchronous reluctance motor is a sinewave ac motor and it has cylindrical surfaces on both sides of the air gap. The stator is a conventional polyphase ac stator, while the rotor has internal flux barriers shaped to maximize the ratio of d-axis to g-axis reactance. This paper presents the finite element analysis and parameter measurement of the synchronous reluctance motor(SRM). The model motor is a 3-phase SRM with the segmental rotor and its rating is 0.175kw. The torque characteristic is analysed by finite element method and compared with that from measurement.

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Optimization of Ferromagnetic Resonance Spectra Measuring Procedure for Accurate Gilbert Damping Parameter in Magnetic Thin Films Using a Vector Network Analyzer

  • Kim, D.H.;Kim, H.H.;You, Chun-Yeol;Kim, Hyung-Suk
    • Journal of Magnetics
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    • v.16 no.3
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    • pp.206-210
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    • 2011
  • We optimize a vector network analyzer ferromagnetic resonance (VNA-FMR) measurement system to study spin dynamics and Gilbert damping parameters of thin ferromagnetic films. In order to obtain accurate damping parameters, careful determination of the susceptibility line-width is required. The measured S-parameters are converted into the corresponding susceptibility through a calibration processes. From the line-width measurements, we can successfully extract the saturation magnetizations and Gilbert damping parameters of 5-, 8-, and 10-nm thick $Ni_{81}Fe_{19}$ (Py) films.

Study on Noise Behavior of GaAs SBGFET (GaAs SBGFET의 잡음동작에 관한 연구)

  • 박한규
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.14 no.3
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    • pp.6-11
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    • 1977
  • The noise behavior of the Schottky Barrier Gate FET has been investigated by the use of noise equivalent circuit. It has been found that an additional noise source has to be taken into account in the GaAs SBGFET's biased in the pinch-off region; the intervalley scattering noise and the hot electron noise. In this paper, a noise equivalent circuit has been used to determine the noise parameter which was taken into account influence of the saturation velocity of carrier and parasitic resistance.

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Experimental Characterization and Signal Integrity Verification of Interconnect Lines with Inter-layer Vias

  • Kim, Hye-Won;Kim, Dong-Chul;Eo, Yung-Seon
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.11 no.1
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    • pp.15-22
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    • 2011
  • Interconnect lines with inter-layer vias are experimentally characterized by using high-frequency S-parameter measurements. Test patterns are designed and fabricated using a package process. Then they are measured using Vector Network Analyzer (VNA) up to 25 GHz. Modeling a via as a circuit, its model parameters are determined. It is shown that the circuit model has excellent agreement with the measured S-parameters. The signal integrity of the lines with inter-layer vias is evaluated by using the developed circuit model. Thereby, it is shown that via may have a substantially deteriorative effect on the signal integrity of high-speed integrated circuits.

Adaptive line Enhancement by Using Adaptive Observer (적응 관측자를 사용한 ALE)

  • 최종호;이하정;이상욱
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.36 no.11
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    • pp.819-825
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    • 1987
  • The ALE problem, which tries to recover a sinusoidal signal corrupted by noise, has been solved using FIR filters. Recently several methods have been proposed using a norch filter of IIR type. In this study, the notch filter was represented with a parameter and auxiliary signals were generated by using an adaptive observer. A simple method is proposed to estimate the parameter. This method is tested under various circumstances by changing the input frequency, S/N ratio, and the type of the noise. The simulation shows that this method gives much better results than the other known methods with respect to the input S/N ratio and converging times. This method is simple and does not require much conputation, so it can be easily implemented in real time applications.

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Wave-Current Friction in Rough Turbulent Flow (전난류에서 파랑과 해류의 마찰력)

  • 유동훈
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.6 no.3
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    • pp.226-233
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    • 1994
  • The present paper considers the method to estimate the bottom friction driven by waves and current on rough turbulent flow. Parameter adjusting technique is suggested for the computation of bed shear stress driven by uni-directional flow. and the value of parameter is determined by comparing the computational results against Bijker's laboratory data. For the computation of combined flow bottom shear stress, two methods are presented; one is the modified Bijker approach (BYO Model) and the other is the modified Fredsoe approach (FY Model). both of which are refined by the present writer. Both models are again refined in two aspects, and tested against the Bijker's laboratory data.

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Modeling of Esterase Production from Saccharomyces cerevisiae

  • Thilakavathi, Thilakavathi;Basak, Tanmay;Panda, Tapobrata
    • Journal of Microbiology and Biotechnology
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    • v.18 no.5
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    • pp.889-896
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    • 2008
  • A suitable simple model tested by experiments is required to address complex biological reactions like esterase synthesis by Saccharomyces cerevisiae. Such an approach might be the answer to a proper bioprocessing strategy. In this regard, a logistic model for esterase production from Saccharomyces cerevisiae has been developed, which predicts well the cell mass, the carbon source (glucose) consumption, and the esterase activity. The accuracy of the model has been statistically examined by using the Student's t-test. The parameter sensitivity analysis showed that all five parameters (${\mu}_m$, $K_a$, $X_m$, $Y_{x/s}$, and $Y_{p/x}$) have significant influence on the predicted values of esterase activity.

Non-linear distributed parameter system estimation using two dimension Haar functions

  • Park Joon-Hoon;Sidhu T.S.
    • Journal of information and communication convergence engineering
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    • v.2 no.3
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    • pp.187-192
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    • 2004
  • A method using two dimension Haar functions approximation for solving the problem of a partial differential equation and estimating the parameters of a non-linear distributed parameter system (DPS) is presented. The applications of orthogonal functions, including Haar functions, and their transforms have been given much attention in system control and communication engineering field since 1970's. The Haar functions set forms a complete set of orthogonal rectangular functions similar in several respects to the Walsh functions. The algorithm adopted in this paper is that of estimating the parameters of non-linear DPS by converting and transforming a partial differential equation into a simple algebraic equation. Two dimension Haar functions approximation method is introduced newly to represent and solve a partial differential equation. The proposed method is supported by numerical examples for demonstration the fast, convenient capabilities of the method.

A Study on the Circuit Parameter for the Optimum Waveform of Defibrillator (제세동기의 최적파형 발생을 위한 회로 파라미터에 관한 연구)

  • Kim, Taek-Soo;Park, Sang-Hui;Go, Han-Woo
    • Proceedings of the KIEE Conference
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    • 1994.11a
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    • pp.92-94
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    • 1994
  • In designing defibrillator several points must be considered such as patient's transthoracic impedance, output energy level, peak current, tine duration of current waveform. Patient's transthoracic impedance depends on patient respectively and the health condition of patient. In this study, before the hardware implementation of defibrillator we determine the range of parameter values of circuit elements to derive optimal discharge waveform by predicting and analyzing the performance of designed circuit.

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Neuro-Fuzzy Modeling for Nonlinear System Using VmGA (VmGA를 이용한 비선형 시스템의 뉴로-퍼지 모델링)

  • Choi, Jong-Il;Lee, Yeun-Woo;Joo, Young-Hoon;Park, Jin-Bae
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.1952-1954
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    • 2001
  • In this paper, we propose the neuro-fuzzy modeling method using VmGA (Virus messy Genetic Algorithm) for the complex nonlinear system. VmGA has more effective and adaptive structure than sGA. in this paper, we suggest a new coding method for applying the model's input and output data to the optimal number of rules in fuzzy models and the structure and parameter identification of membership functions simultaneously. The proposed method realizes the optimal fuzzy inference system using the learning ability of neural network. For fine-tune of parameters identified by VmGA, back- propagation algorithm is used for optimizing the parameter of fuzzy set. The proposed fuzzy modeling method is applied to a nonlinear system to prove the superiority of the proposed approach through comparing with ANFIS.

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