• Title/Summary/Keyword: error distribution

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Study on the Performance Comparision of Software Pulse Interpolators (소프트웨어 펄스 보간기의 성능비교)

  • Ahn, J.H.;Lim, H.S.;Lee, W.K.
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.9
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    • pp.62-69
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    • 1996
  • Interpolator is a very important element in NC machines in that it controls tool path and speed. In this paper, studied were extensive interpolation characteristics of reference pulse method among various interpolation and pulse generation methods. Specifically, processing speed and path error of DDA, SPD and SFG methods were compared and analyzed against line, circle and elipse. As a result, in the point of processing speed, SPD method was found to be the best for line interpolation, SFG method for circle and ellipse, and DDA method was found to be the slowest for all paths. In the point of path error, DDA method was found to have the biggest error for all kinds of paths.

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Random Noise Effect Upon 2nd Order Analog Phase-Locked Loop (Random Noise가 2차 Analog Phase-Locked Loop에 미치는 영향)

  • Kang, Jeoung Soo;Rhee, Man Young
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.23 no.5
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    • pp.605-615
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    • 1986
  • The phase-locked loop(PLL) is a communication receiver which operates as a coherent detector by continuously correcting the phase error. In this paper analysis for the Phase-error behavior of analog phase-locked loop (APLL) in the presence of additive white gaussian noise has been done theoretically and experimentally. A close form solution of the first-order loop is obtained and approximate solutions are derived for the second-order loops with RC, leadlag and perfect integrator filters. The perdormance of APLL's and their characteristics are also thoroughly investigated through experiments. In order to analyze the effect of the stochastic nature on nonlinear dynamics characteristics of the second order APLL, the phase error distribution and its variance have been obtained by using the Fokker-Planck equation. Theoretical results agree closely with those of experiment.

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Comparisons of error rate according to eavesdropping rate and basis number in quantum key distribution protocols BB84 and B92 (양자 키 분배 프로토콜 BB84 와 B92 에서 도청률과 기저의 수에 따른 error rate 비교)

  • Lee, Sun-Ah;Moon, Bong-Kyo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.358-361
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    • 2020
  • 양자 암호통신에서는 키를 실시간으로 안전하게 분배하는 양자 키 분배방식이 핵심이다. 본 논문에서는 양자 키 분배 방식인 BB84 protocol 과 B92 protocol 을 python 으로 구현(이를 Lee's code 라 명명)한다. 기존에 존재하는 양자 simulator 와 LEE's code 를 이용해 error rate 의 차이를 두 가지 관점(기저에 따른 차이, 도청률에 따른 차이)에서 비교한다. 이를 바탕으로 어떤 protocol 이 도청자로부터 더 취약한지 알아본 결과, B92 protocol 의 QBER 이 항상 높으므로 도청자를 잡아내기는 쉽지만, 기저가 두 가지 밖에 없으므로 도청자의 공격에는 취약함을 알 수 있다.

How to Improve Classical Estimators via Linear Bayes Method?

  • Wang, Lichun
    • Communications for Statistical Applications and Methods
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    • v.22 no.6
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    • pp.531-542
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    • 2015
  • In this survey, we use the normal linear model to demonstrate the use of the linear Bayes method. The superiorities of linear Bayes estimator (LBE) over the classical UMVUE and MLE are established in terms of the mean squared error matrix (MSEM) criterion. Compared with the usual Bayes estimator (obtained by the MCMC method) the proposed LBE is simple and easy to use with numerical results presented to illustrate its performance. We also examine the applications of linear Bayes method to some other distributions including two-parameter exponential family, uniform distribution and inverse Gaussian distribution, and finally make some remarks.

Comparison of parameter estimation methods for normal inverse Gaussian distribution

  • Yoon, Jeongyoen;Kim, Jiyeon;Song, Seongjoo
    • Communications for Statistical Applications and Methods
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    • v.27 no.1
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    • pp.97-108
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    • 2020
  • This paper compares several methods for estimating parameters of normal inverse Gaussian distribution. Ordinary maximum likelihood estimation and the method of moment estimation often do not work properly due to restrictions on parameters. We examine the performance of adjusted estimation methods along with the ordinary maximum likelihood estimation and the method of moment estimation by simulation and real data application. We also see the effect of the initial value in estimation methods. The simulation results show that the ordinary maximum likelihood estimator is significantly affected by the initial value; in addition, the adjusted estimators have smaller root mean square error than ordinary estimators as well as less impact on the initial value. With real datasets, we obtain similar results to what we see in simulation studies. Based on the results of simulation and real data application, we suggest using adjusted maximum likelihood estimates with adjusted method of moment estimates as initial values to estimate the parameters of normal inverse Gaussian distribution.

The Study of characteristic comparison with inrush and fault current occurred in distribution system (배전계통에서 발생하는 돌입전류와 고장전류의 특성 비교연구)

  • 오용택;김진성
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2001.11a
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    • pp.51-58
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    • 2001
  • This paper gives a type and high-frequency waves analysis of in-rush current cab be flowed into distribution automatic machine to be installed in distribution line in order to use minimizing operation error of failure indicator to have been issue recent with obtaining high-frequency component that can be different from current. The in-rush and fault current data studied in this paper is to be surveyed actually in USA distribution system substation line of Bryan Power Company near Texas A. M University, to be occurred high impedance fault.

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A Speech Waveform Forgery Detection Algorithm Based on Frequency Distribution Analysis (음성 주파수 분포 분석을 통한 편집 의심 지점 검출 방법)

  • Heo, Hee-Soo;So, Byung-Min;Yang, IL-Ho;Yu, Ha-Jin
    • Phonetics and Speech Sciences
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    • v.7 no.4
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    • pp.35-40
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    • 2015
  • We propose a speech waveform forgery detection algorithm based on the flatness of frequency distribution. We devise a new measure of flatness which emphasizes the local change of the frequency distribution. Our measure calculates the sum of the differences between the energies of neighboring frequency bands. We compare the proposed measure with conventional flatness measures using a set of a large amount of test sounds. We also compare- the proposed method with conventional detection algorithms based on spectral distances. The results show that the proposed method gives lower equal error rate for the test set compared to the conventional methods.

Estimation for the half triangle distribution based on Type-I hybrid censored samples

  • Kang, Suk-Bok;Cho, Young-Seuk;Han, Jun-Tae
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.5
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    • pp.961-969
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    • 2009
  • A hybrid censoring is a mixture of Type-I and Type-II censoring schemes. This paper deals with estimation based on Type-I hybrid censored samples from the half triangle distribution. We derive some estimators of the scale parameter of the half triangle distribution based on Type-I hybrid censored samples. We compare the proposed estimators in the sense of the mean squared error for various censored samples.

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A Evaluation of P-S-N Curve of Low Pressure Steam Turbine Blade Steel (저압 증기 터빈블레이드 강의 P-S-N 선도 평가)

  • Kim, Chul-Su;Jung, Hwa-Young;Kim, Jung-Kyu
    • Proceedings of the KSME Conference
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    • 2001.11a
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    • pp.272-277
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    • 2001
  • In order to evaluate variation of fatigue data of the LP steam turbine blade steel, it is important to estimate P - S - N curves to accurately define the probability distributions. In this study, new procedure is introduced to determine the expression of P - S - N curves. For this purpose, 3-parameter Weibull distribution was found to be most appropriate among assumed distributions when the probability distributions of the fatigue life were examined by the proposed analysis. Furthermore, parameter estimation for P - S - N curves was performed using various optimization to maximize the correlation coefficient. As a result of this, sequential linear programing method is used for estimation of P - S - N curves.

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Mathematical representation to assess the wind resource by three parameter Weibull distribution

  • Sukkiramathi, K.;Rajkumar, R.;Seshaiah, C.V.
    • Wind and Structures
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    • v.31 no.5
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    • pp.419-430
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    • 2020
  • Weibull distribution is a conspicuous distribution known for its accuracy and its usage for wind energy analysis. The two and three parameter Weibull distributions are adopted in this study to fit wind speed data. The daily mean wind speed data of Ennore, Tamil Nadu, India has been used to validate the procedure. The parameters are estimated using maximum likelihood method, least square method and moment method. Four statistical tests namely Root mean square error, R2 test, Kolmogorov-Smirnov test and Anderson-Darling test are employed to inspect the fitness of Weibull probability density functions. The value of shape factor, scale factor, wind speed and wind power are determined at a height of 100m using extrapolation of numerical equations. Also, the value of capacity factor is calculated mathematically. This study provides a way to evaluate feasible locations for wind energy assessment, which can be used at any windy site throughout the world.