• Title/Summary/Keyword: G-parameter

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A Study on the Energy Extraction Using G-peak from the Speech Production Model (음성발생 모델로부터의 G-peak를 이용한 음성에너지 추출에 관한 연구)

  • Bae, Myungjin;Rheem, Jaeyeol;ANN, Souguil
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.24 no.3
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    • pp.381-386
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    • 1987
  • By the speech production model, the first positive peak in a pitch interval of the voiced speech is mainly affected by the glottis and the first formant component, known as a typical energy source of the voiced speech. From these characteristics, the energy parameter can be replaced by the area of the area of the positve peak in a pitch interval, which parameter is generally used for classification of speech signals. In this method, the changed energy parameter is independent of window length applied for analysis, and the pitch can be extracted smultaneously. Furthermore, the energy can be extracted in the pitch period unit.

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Analysis of Flux Observers Using Parameter Sensitivity

  • Nam H.T.;Lee K.J.;Choi J.W.;Kim H.G.;Chun T.W.;Noh E.C.
    • Proceedings of the KIPE Conference
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    • 2001.10a
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    • pp.418-422
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    • 2001
  • To achieve a high performance in direct vector control of induction motor, it is essential to correct estimation of rotor flux. The accuracy of flux observers for induction machines inherently depends on parameter sensitivity. This paper presents 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 flux as the transfer function, and analyzed a parameter sensitivity of this transfer function by simulation.

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Adaptive control for robot manipulator using speed-gradient algorithm (S-G 알고리즘을 이용한 로보트 매니플레이터의 적응제어)

  • 정사철;김진환;이정휴;함운철
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.1-7
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    • 1993
  • In this paper we propose the new adaptive control algorithm by using S-G algorithm based on the error equations derived by Slotine. We verify the validity of the proposed controller and convergence of three type parameter estimation law based on S-G algorithm from the computer simulation.

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RESOLUTION OF QUOTIENT SINGULARITIES VIA G-CONSTELLATIONS

  • Seung-Jo Jung
    • Bulletin of the Korean Mathematical Society
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    • v.61 no.2
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    • pp.519-527
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    • 2024
  • For a finite subgroup G of GLn(ℂ), the moduli space 𝓜𝜃 of 𝜃-stable G-constellations is rarely smooth. This note shows that for a group G of type ${\frac{1}{r}}(1,a,b)$ with r = abc + a + b, there is a generic stability parameter 𝜃 ∈ Θ such that the birational component Y𝜃 of 𝜃-stable G-constellations provides a resolution of the quotient singularity X := ℂ3/G.

The Communication Method at the Auto-Startup System using TCP/IP and VXI and Expert System(G2)

  • Kim, Jung-Soo;Joon Lyon
    • Transactions on Control, Automation and Systems Engineering
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    • v.1 no.2
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    • pp.141-146
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    • 1999
  • This paper describes the communication method of an auto-startup system. The Auto-Startup system is designed to operate a nuclear power plant automatically during the startup operation . In general , the operations during startup in existing plant have only been manually controlled by the operator. The manual operation caused to the operator mistake. The Auto-Startup system consists of the Distributed Control System(DCS) and G2 (Expert System). Also, Functional Test Facility(FTF) provides the plant's real-data for an Auto-Startup system. So, it is necessary to develop the communication method between these systems. We developed two methods ; one is a network and the other is a hardwire line. To communicate between these systems (DCS-G2 and DCS-FTF) , we developed the communication program. In case of DCS-FTF, we used the TCP/IP and VXI. BUt, in case of DCS-G2 , we , what it called , developed the bridge program using the GSI(G2 Standard Interface). We test to check the function of the important parameter, in time, for analysis of the developed communication method. The results are a good performance when we check the communication time of important parameter. We conclude that Auto-startup system could save heat-up time about at least 5 hours and reduced the change of the reactor operation and trip.

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J-Integral Evaluation of Concrete Fracture Characteristics

  • Choi, Sin-Ho;Kye, Hae-Ju;Kim, Wha-Jung
    • International Journal of Concrete Structures and Materials
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    • v.18 no.3E
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    • pp.183-189
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    • 2006
  • Many researchers have recently proposed various parameters, variables of models and experimental methods to evaluate fracture properties of concrete, and their developments allow us to analyze the non-linear and quasi-brittle fracture mechanisms. This paper presents a brief treatment of the fracture parameters. Additionally, three-point bending tests were conducted to compare J-integral($J_{Ic}$) with other parameters($K_{Ic},\;G_{Ic},\;and\;G_F$). The change in parameter values with respect to the width and notch length of concrete beam specimens was also considered. The load-displacement curves were used to measure the concrete fracture toughness experimentally. From the results of experiment, it was found that the value of $G_F\;and\;J_{Ic}$ decreased as the notch depth increased and that $G_F$ was less sensitive than $J_{Ic}$. Therefore, the former, $G_F$, is more appropriate in using it as the concrete fracture toughness parameter. The values of $G_F\;and\;J_{Ic}$ increased when the width of concrete specimens increasing from 75 mm to 150 mm. Thus, the effects of the specimen width should be considered in determining the fracture toughness of concrete.

Machine Learning Approach to Estimation of Stellar Atmospheric Parameters

  • Han, Jong Heon;Lee, Young Sun;Kim, Young kwang
    • The Bulletin of The Korean Astronomical Society
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    • v.41 no.2
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    • pp.54.2-54.2
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    • 2016
  • We present a machine learning approach to estimating stellar atmospheric parameters, effective temperature (Teff), surface gravity (log g), and metallicity ([Fe/H]) for stars observed during the course of the Sloan Digital Sky Survey (SDSS). For training a neural network, we randomly sampled the SDSS data with stellar parameters available from SEGUE Stellar Parameter Pipeline (SSPP) to cover the parameter space as wide as possible. We selected stars that are not included in the training sample as validation sample to determine the accuracy and precision of each parameter. We also divided the training and validation samples into four groups that cover signal-to-noise ratio (S/N) of 10-20, 20-30, 30-50, and over 50 to assess the effect of S/N on the parameter estimation. We find from the comparison of the network-driven parameters with the SSPP ones the range of the uncertainties of 73~123 K in Teff, 0.18~0.42 dex in log g, and 0.12~0.25 dex in [Fe/H], respectively, depending on the S/N range adopted. We conclude that these precisions are high enough to study the chemical and kinematic properties of the Galactic disk and halo stars, and we will attempt to apply this technique to Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), which plans to obtain about 8 million stellar spectra, in order to estimate stellar parameters.

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Kinetic Parameter Estimation of Ru Catalyst for Steam Methane Reforming (증기 메탄 개질 반응의 Ru 촉매 Kinetic Parameter 예측)

  • JOO, CHONGHYO;KIM, MYUNGJUN;CHO, HYUNGTAE;LEE, JAEWON;KIM, JUNGHWAN
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.5
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    • pp.499-506
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    • 2022
  • This study proposes kinetic parameters of Ru catalyst for steam methane reforming (SMR). First, extensive experiments are performed under different SMR conditions to evaluate performance of the catalyst in SMR. Second, a kinetic model is designed and developed for parameter estimation and validation using gPROMS. Finally, estimated parameters are fitted to the kinetic model and then, the model results are compared with the experimental data. The model results are in a good agreement with the experimental data.

ON THE CLASS OF TRANSMUTED-G DISTRIBUTIONS

  • AHMAD, MORAD;AL-AQTASH, RAID;AKINSETE, ALFRED
    • Journal of applied mathematics & informatics
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    • v.40 no.5_6
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    • pp.925-931
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    • 2022
  • In this article, we compare the reliability and the hazard function between a baseline distribution and the corresponding transmuted-G distribution. Some examples based on existing transmuted-G distributions in literature are used. Three tests of parameter significance are utilized to test the importance of a transmuted-G distribution over the baseline distribution, and real data is used in an application of the inference about the importance of transmuted-G distributions.