• 제목/요약/키워드: S-Parameter

검색결과 5,710건 처리시간 0.035초

Correlation between Ultrasonic Nonlinearity and Elastic Nonlinearity in Heat-Treated Aluminum Alloy

  • Kim, Jongbeom;Jhang, Kyung-Young
    • 비파괴검사학회지
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    • 제37권2호
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    • pp.115-121
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    • 2017
  • The nonlinear ultrasonic technique is a potential nondestructive method to evaluate material degradation, in which the ultrasonic nonlinearity parameter is usually measured. The ultrasonic nonlinearity parameter is defined by the elastic nonlinearity coefficients of the nonlinear Hooke's equation. Therefore, even though the ultrasonic nonlinearity parameter is not equal to the elastic nonlinearity parameter, they have a close relationship. However, there has been no experimental verification of the relationship between the ultrasonic and elastic nonlinearity parameters. In this study, the relationship is experimentally verified for a heat-treated aluminum alloy. Specimens of the aluminum alloy were heat-treated at $300^{\circ}C$ for different periods of time (0, 1, 2, 5, 10, 20, and 50 h). The relative ultrasonic nonlinearity parameter of each specimen was then measured, and the elastic nonlinearity parameter was determined by fitting the stress-strain curve obtained from a tensile test to the 5th-order-polynomial nonlinear Hooke's equation. The results showed that the variations in these parameters were in good agreement with each other.

잡음환경에서의 숫자음 인식을 위한 특징파라메타 (Features for Figure Speech Recognition in Noise Environment)

  • 이재기;고시영;이광석;허강인
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2005년도 추계종합학술대회
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    • pp.473-476
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    • 2005
  • 본 논문은 잡음에 강한 다양한 특징 파라메타를 제안한다. 기존의 음성인식에서 사용되는 특징 파라메타 MFCC(Mel Frequency Cepstral Coeeficient)는 좋은 성능을 보인다. 그러나 잡음에 보다 강인한 성능을 위해 기존에 사용되는 파라메타 MFCC의 특징공간을 변형시키는 알고리즘인 PCA(Principal Component Analysis)와 ICA(Independent Component Analysis)를 사용하여 특징 공간을 변형시킨 파라메타와 기존의 파라메타 MFCC의 성능을 비교하였다. 그 결과 ICA에 의해 변형된 특징 파라메타가 PCA로 변형된 파라메타와 MFCC보다 우수한 성능을 보였다.

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Estimations for a Uniform Scale Parameter in the Presence of an Outlier

  • Woo, Jungsoo;Lee, Changsoo
    • Communications for Statistical Applications and Methods
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    • 제6권2호
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    • pp.611-620
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    • 1999
  • We shall propose several estimators and confidence intervals for the scale parameter in a uniform distribution with the presence of a generalized uniform outlier and obtain mean squared errors(MSE) for their proposed estimators. And we shall compare numerical MSE's for the proposed several estimators of the scale parameter. Also we shall compare numerically expected lengths of confidence intervals of the scale parameter in a uniform distribution with the presence of a generalized uniform outlier.

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Unified Estimates for Parameter Changes in a Pareto Model with an Exponential Outlier

  • Ryu, Se-Gi;Lee, Chang-Soo;Chang, Chu-Seock
    • Journal of the Korean Data and Information Science Society
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    • 제18권2호
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    • pp.507-514
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    • 2007
  • We shall propose several estimators for the scale parameter in the Pareto distribution with an unidentified exponential outlier when the scale parameter is functions of a known exposure level, and obtain expectations and variances for their proposed estimators. And we shall compare numerically efficiencies for proposed estimators of the scale and shape parameters in the small sample sizes.

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Robust Parameter Design for Multiple Quality Characteristics using Factor Analysis

  • 권용만;장덕준
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2004년도 춘계학술대회
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    • pp.131-139
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    • 2004
  • Robust parameter design is to identify appropriate settings of control factors that make the system's performance robust to changes in the noise factors that represent the source of variation. In this paper, we introduce a factor analysis approach to simultaneously optimize multiple quality characteristics in the robust parameter design. An example is illustrated to compare it with already proposed method.

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동특성 파라미터설계를 위한 SN비의 결정 및 분석 (Determination and Analysis of Signal-to-Noise Ratios for Parameter Design with Dynamic Characteristics)

  • 김성준
    • 품질경영학회지
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    • 제26권2호
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    • pp.17-26
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    • 1998
  • Taguchi's parameter design is a method for quality improvement by making the performance fo a system robust to noise. Parameter design with dynamic characteristics has been recently the subject of much interest. This paper is concerned with a review and a generalization of the Signal-to-Noise (SN) ratio, a quality measure for parameter design with dynamic characteristics, proposed by Taguchi. We present a method for determination and analysis of the generalized SN ratio and illustrate its implementation by example.

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

  • 정찬우;석근영;강주원
    • 한국공간구조학회논문집
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    • 제7권4호
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    • pp.55-61
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    • 2007
  • 근래에 이르러 컴퓨터의 발전과 더불어 유한요소법이 가장 많이 사용되고 있는 수치해석수법이 되어 왔다. 그러나 유한요소법은 각각의 구조물을 해석하는 데는 탁월한 능력을 발휘하지만 구조물을 형성하는 파라메타에 대한 영향 또는 경향을 파악하는 것에 대해서는 갤러킨법이 더욱 유효하다. 본 논문은 구조물을 형성하는 파라메타에 대한 영향 경향을 파악하는 것에 유리한 갤러킨법(Galerkin's Method)을 이용하여 고유치 해석을 수행하고 아치를 형성하는 파라메타가 고유진동응답에 미치는 영향을 고찰한다.

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Comparison of Parameter Estimation for Weibull Distribution

  • Wang, Fu-Kwun;J. Bert Keats;B. Y. Leu
    • International Journal of Reliability and Applications
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    • 제4권1호
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    • pp.41-50
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    • 2003
  • This paper represents the first comprehensive comparison of the Newton-Raphson's method and Simple Iterative Procedure (SIP) in the maximum likelihood estimation of the two-parameter Weibull distribution. Computer simulation is employed to compare these two methods for multiply censored, singly censored data (Type I or Type Ⅱ censoring) and complete data. Results indicate the Newton-Raphson's with the Menon's estimated value, as an initial point remains the effective iterative procedure for estimating the parameters.

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데이터베이스 시스템 성능 향상을 위한 데이터베이스 관리 시스템 파라미터 튜닝 프로세스 (Database Management System Parameter Tuning Processes for Improving Database System Performance)

  • 최용락;윤병권;정기원
    • 한국전자거래학회지
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    • 제7권1호
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    • pp.107-127
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    • 2002
  • Database system parameter tuning is one of database system tuning that achieve to improve performance of database system with application program tuning and data model tuning. By parameter tuning adjusts value of entry that is staled in data dictionary's parameter file that is included to database system, it is thing which make relevant database system can display performance of most suitable. And, it is that achievement is one o( possible tuning method immediately without occurrence of additional expense or involved hardware for database system performance elevation and ashes composition of software. But, it is actuality that administration about parameter practical use is not achieved, and is using Default Value of parameter that database management system offers just as it is systematically. So, this paper presents parameter tuning process that can :achieve Parameter tuning of database system that is operating present systematically, and parameter tuning process each activity important input urea and tuning achievement product. And explain about effect and result that happen by sort database system performance and parameters that it is affinity systematically, and grasp relationships between parameter, and change parameter of string database system. And not that parameter uses contents that specify by fixing when establish database administration system, is going to emphasize and explain that must utilize changing continuously during database system operation. It changes parameter entry value how in various kinds different operation environment and present if must apply, and will arrange effect that this parameter enoy value alteration gets in performance liking into account point that is actuality that is using parameter that define database administrators when install the database system just as it is continually without alteration.

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AN ADAPTIVE SEQUENTIAL PROBABILITY RATIO TEST IN THE AUTOREGRESSIVE PROCESS

  • Choi, Ki-Heon
    • Journal of applied mathematics & informatics
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    • 제11권1_2호
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    • pp.373-378
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    • 2003
  • consider the problem of sequentially hypotheses about a parameter $\theta$ in the presence of the nuisance parameter $\rho$. and we investigate further to computing the error probabilities and expected sample sizes in the frequentist properties of the adaptive S.P.R.T. for $\theta$.