• Title/Summary/Keyword: Determination of Parameters

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Analysis of Scaling Parameters of the Batch Unscented Transformation for Precision Orbit Determination using Satellite Laser Ranging Data

  • Kim, Jae-Hyuk;Park, Sang-Young;Kim, Young-Rok;Park, Eun-Seo;Jo, Jung-Hyun;Lim, Hyung-Chul;Park, Jang-Hyun;Park, Jong-Uk
    • Journal of Astronomy and Space Sciences
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    • v.28 no.3
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    • pp.183-192
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    • 2011
  • The current study analyzes the effects of the scaling parameters of the batch unscented transformation on precision satellite orbit determination. Satellite laser ranging (SLR) data are used in the orbit determination algorithm, which consists of dynamics model, observation model and filtering algorithm composed of the batch unscented transformation. TOPEX/Poseidon SLR data are used by utilizing the normal point (NP) data observed from ground station. The filtering algorithm includes a repeated series of processes to determine the appropriate scaling parameters for the batch unscented transformation. To determine appropriate scaling parameters, general ranges of the scaling parameters of ${\alpha}$, ${\beta}$, k, $\lambda$ are established. Depending on the range settings, each parameter was assigned to the filtering algorithm at regular intervals. Appropriate scaling parameters are determined for observation data obtained from several observatories, by analyzing the relationship between tuning properties of the scaling parameters and estimated orbit precision. The orbit determination of satellite using the batch unscented transformation can achieve levels of accuracy within several tens of cm with the appropriate scaling parameters. The analyses in the present study give insights into the roles of scaling parameters in the batch unscented transformation method.

Determination of Machining Parameters for Two Dimensional Electrical Discharge Machining using Neural Networks (신경망을 이용한 2차원 방전가공 조건선정)

  • Lee, Keon-Beom;Ju, Sang-Yoon;Wang, Gi-Nam
    • IE interfaces
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    • v.11 no.1
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    • pp.145-153
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    • 1998
  • In this paper, two parts of neural networks were proposed for determination of optimal EDM parameters. One is pattern recognition neural network that can be selecting expert neural network suitable to the EDM mode. The other is expert neural network that can be determining optimal EDM parameters such as pulse on time and pulse off time. Prior to determination of EDM parameters, Peak current, which is related to the EDM area closely, determined base on EDM area that is calculated from CAD data, firstly. Then, the other EDM parameters determined by the expert neural network that is selected to the EDM mode.

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Determination of Hypocentral Parameters Using Phase Identification and Two-Point Ray Tracing (파형분석과 두 점을 잇는 파선추적을 이용한 지진요소 결정)

  • 박종찬;김우환
    • Journal of the Earthquake Engineering Society of Korea
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    • v.5 no.5
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    • pp.57-61
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    • 2001
  • This study introduces an algorithm for determination of hypocentral parameters using phase analysis and two-point ray tracing to enhance accuracy and stability of computations. When the magnitude of earthquake is relatively small(usually $m_{b}$<3.2), the PmP phase which looks like the first arrival phase may be observed without observing the Pn phase. In this case, the hypocentral parameters calculated by the existing method using the first arrival of P and S phases and by the method developed in this study using PmP and SmS phases show large differences. The computational results of determination of hypocentral parameters for actual earthquake events show that this method gives much smaller rms errors than the existing methods do.o.

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Determination of Dynamic Parameters of Continuous Beam Using Morlet Wavelet (Morlet웨이블렛을 이용한 연속보의 동적 파라메터 추정)

  • 박종열;박형기;김규학
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 2002.03a
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    • pp.143-150
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    • 2002
  • This paper presents the application of continuous wavelet transform for determination of dynamic parameters of continuous beam subjected to moving load. Morlet wavelet is used as mother wavelet in wavelet transform. Dynamic parameters are estimated from the magnitudes and arguments of the wavelet coefficients obtained by wavelet transforming the response time histories of joints on the beam. This study shows that the estimated parameters such as natural frequencies, dmping ratios and mode shapes are to be well-compared with those of the finite element analysis.

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Determination of EDM Parameters from CMM Data (CMM 데이터로부터 방전조건 결정)

  • 주상윤
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1998.03a
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    • pp.35-39
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    • 1998
  • Determination of effective EDM parameters is significant to increase productivity. However, With the complexity of EDM phenomena, a universal selection method of EDM parameters has not been established yet. Moreover, No attempt has been tried before to suggest a logical method in determining essential machining parameters for effective electrical discharge machining. Peak current, one of the most significant factors in EDM, is proportional to EDM area. This paper presents a method that can be Z-map modeling from CMM data, and calculate EDM area using Z-map.

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The Parameter Determination of Scribing Machine for Semiconductor Wafer (반도체 웨이퍼용 스크라이빙 머신의 파라메터 결정)

  • 차영엽;최범식
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.164-167
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    • 2002
  • The general dicing process cuts a semiconductor wafer to lengthwise and crosswise direction by using a rotating circular diamond blade. But inferior goods are made under the influence of several parameters in dicing process such as blade, wafer, cutting water and cutting conditions. Moreover we can not applicable this dicing method to GaN wafer, because the GaN wafer is harder than the other wafer such as SiO$_2$, GaAs, CaAsP, and AlCaAs. In order to overcome this problem, development of a new dicing process and determination of dicing parameters are necessary. This paper describes determination of several parameters - scribing depth, scribing force, scriber inclined angle, scribing speed, and factor for scriber replacement - for a new dicing machine using scriber.

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The Parameter Determination of a Scribing Machine for Semiconductor Wafer (반도체 웨이퍼용 스크라이빙 머신의 파라메터 결정)

  • 차영엽;최범식
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.2
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    • pp.218-225
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    • 2003
  • The general dicing process cuts a semiconductor wafer to lengthwise and crosswise direction by using a rotating circular diamond blade. However, inferior goods may be made under the influence of several parameters in dicing process such as blade, wafer, cutting water and cutting conditions. Moreover we can not apply this dicing method to a GaN wafer, because the GaN wafer is harder than other wafers such as SiO$_2$, GaAs, GaAsP, and AlGaAs. In order to overcome this problem, development of a new dicing process and determination of dicing parameters are necessary. This paper describes determination of several parameters - scribing depth, scribing force, scriber inclined angle, scribing speed, and factor for scriber replacement - for a new dicing machine using a scriber.

Case Studies on Determination of Strength Parameters for the Analysis of Rock Slope Stability (암반사면 안정 해석을 위한 강도정수 산정 사례연구)

  • Kim, Hak Joon;Jeong, Jun-Ho
    • The Journal of Engineering Geology
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    • v.30 no.1
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    • pp.85-101
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    • 2020
  • The estimation of strength parameters is very important for the stability analysis of rock slopes. Various methods for the determination of strength parameters were suggested by various researchers. The number of methods used for the estimation of strength parameters in the stability analysis of rock slopes were investigated based on literature reviews. The frequency of the method determining strength parameters were investigated with respect to failure types. The cohesion and friction angles of the rock and discontinuities are presented with RMR values. The cohesion shows wider range of values relative to those of friction angles according to current studies. Even though RMR does not show any correlation with cohesion values, RMR and the friction angle of the rock clearly shows a positive relationship. Proper methods should be utilized for the determination of strength parameters with consideration for failure types and be proved through literature reviews. The credibility of determining strength parameters is expected to improve if strength parameters data are accumulated from the back analysis performed for failed local rock slopes.

Determination of Optimal Machining Parameters Using Genetic Algorithm (유전자 알고리즘을 이용한 최적의 가공 조건 결정)

  • Choi, K.H.;Yook, S.H.
    • Journal of Power System Engineering
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    • v.3 no.4
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    • pp.63-68
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    • 1999
  • The determination of the optimal machining parameters in metal cutting, such as cutting speed, feed rate, and depth of cut, is an important aspect in an economic manufacturing process. The main objective in general is either to minimize the production cost or to maximize the production rate. Also there are constraints on all the machining operations which put restrictions on the choice of the machining parameters. In this paper as an objective function the production cost is considered with two constraints, surface finish and cutting power. Genetic Algorithm is applied to determine the optimum machining parameters, and the effectiveness of the applied algorithm is demonstrated by means of an example, turning operation.

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A Study of Determination of the Basic Device Parameters of HEMT Modeling by Measured S-parameter (측정한 산란계수에 의한 HEMT Modeling 변수의 결정에 관한 연구)

  • Park, Soon-Tae;Son, Byung-Moon
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.37 no.1
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    • pp.1-11
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    • 2000
  • An accurate technique to retrieve HEMT modeling parameters with measurements of S-parameters and DC characteristics of HEMT is proposed. The extrinsic series resistances among HEMT modeling parameters are determined by the FUKUI method using the measured DC characteristics. And other parameters are determined by the measured S-parameters by HP 8510C Network Analyzer with various values of DC bias. The transconductance retrieved from the measured S-parameters, however, shows only 0.078% error comparing with the measured gm values. Therefore, the S-parameters measured directly for an individual transistor should be used for an accurate determination of the model parameters. The procedure for the retrieval of the circuit modeling parameters redescribed in detail in this thesis.

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