• Title/Summary/Keyword: 레일리분포

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Performance Analysis of Adaptive Sector Antennas in Frequency Non-selective Rayleigh Fading Channels (주파수 비선택성 레일리 페이딩 채널에서 적응형 섹터 안테나의 성능분석)

  • 이주형;최충열;조성준;강찬구;오창헌
    • Proceedings of the Korea Electromagnetic Engineering Society Conference
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    • 2000.11a
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    • pp.282-285
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    • 2000
  • 본 논문에서는 사용자의 분포에 따라 섹터의 크기가 가변되는 안테나의 섹터 형성과 오율성능 개선을 시뮬레이션을 통해 확인하였다. 섹터의 크기가 가변적이기 때문에 사용자의 분포에 따라 섹터별 부하의 차이를 줄일 수 있어 간섭제거 효과를 얻을 수 있었다. 시뮬레이션 결과 가우스 분포를 하는 사용자 수에 따라 섹터의 크기가 가변됨을 확인할 수 있었고, 고정된 섹터 시스템에 비해 동일한 SNR에 대해 오율성능이 개선됨을 알 수 있었다. 채널 환경으로는 가우스 잡음, 레일리 페이딩 및 다중 사용자 간섭을 고려하였고 변복조 시스템은 BPSK로 하였다.

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The Bayesian Inference for Software Reliability Models Based on NHPP (NHPP에 기초한 소프트웨어 신뢰도 모형에 대한 베이지안 추론에 관한 연구)

  • Lee, Sang-Sik;Kim, Hui-Cheol;Song, Yeong-Jae
    • The KIPS Transactions:PartD
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    • v.9D no.3
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    • pp.389-398
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    • 2002
  • Software reliability growth models are used in testing stages of software development to model the error content and time intervals between software failures. This paper presents a stochastic model for the software failure phenomenon based on a nonhomogeneous Poisson process(NHPP) and performs Bayesian inference using prior information. The failure process is analyzed to develop a suitable mean value function for the NHPP ; expressions are given for several performance measure. Actual software failure data are compared with several model on the constant reflecting the quality of testing. The performance measures and parametric inferences of the suggested models using Rayleigh distribution and Laplace distribution are discussed. The results of the suggested models are applied to real software failure data and compared with Goel model. Tools of parameter point inference and 95% credible intereval was used method of Gibbs sampling. In this paper, model selection using the sum of the squared errors was employed. The numerical example by NTDS data was illustrated.

레일리 페이딩 알고리즘개발 및 특성분석

  • Lee, Sang-Cheon;Kim, Jae-Myeong;Park, Han-Gyu
    • ETRI Journal
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    • v.8 no.4
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    • pp.95-102
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    • 1986
  • 본 연구에서는 이동통신 시스팀에서 채널 모델의 시뮬레이션을 수행하는데 사용 가능한 알고리즘을 개발하였으며 이동체 속도에 따라 그 특성을 분석하였다. 이동통신 채널에서는 다중 경로에 의하여 레일리 페이딩 채널이 구성되어 지는데 이의 알고리즘 개발을 위하여 실제 제작 구현이 용이한 위상 변조신호 합성 방법과 shaping 필터를 이용하는 방법을 채택하였다. 개발 알고리즘을 분석한 결과 제시한 두 모델 모두가 채널 시뮬레이션을 위하여 사용가능함을 확인하였으며 특히 레일리 분포 특성에서는 위상변조 신호 합성방식이 이론치와 더욱 유사됨을 알 수 있었다.

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On Individual Wave Height Distribution of Ocean Waves (해양파의 개별파고 분포에 대하여)

  • Kim, Do-Young
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2006.11a
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    • pp.367-372
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    • 2006
  • If the sea is narrowband, the Rayleigh distribution introduced by Longuet-Higgins can be used for the individual wave height distribution. However the Rayleigh distribution over-predicts the probability of high waves. Longuet-Higgins introduced alternative form of the Rayleigh distribution with an empirical constant. The wave height distribution can be fitted well by one parameter Rayleigh distribution with a proper choice of the empirical constant. The empirical constant is the ratio of the significant wave height based the time domain analysis and the spectral analysis. Here we examine wave data which contain extreme waves. Once again we confirmed that extreme wave height distribution can be modelled well by a modified Rayleigh distribution.

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A Study on the Characteristics of Large Amplitude Ocean Waves (대진폭 해양파의 특성에 대한 연구)

  • Kim, Do-Young
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.12 no.2
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    • pp.61-67
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    • 2009
  • In this paper time series wave data which contain a freak wave is investigated. Various wave characteristics are compared between wave data with a freak wave and without. Among 24 hour wave data measured in the Yura Sea, two adjacent 30 min wave data with and without a freak wave are examined intensively. It is seen that the highest waves do not have the longest wave period. The wave period of the longest period waves is a little longer than the average wave period and much shorter than the significant wave period. Although the sea state is quite high, the Rayleigh distribution fits well to the probability of wave height. The characteristics of the wave spectra do not change much, but the nonlinearity increases for the wave data with a freak wave. The significant wave height without a freak wave is larger than that with a freak wave. Hence, the higher significant wave height does not always increase the probability of the occurrence of the freak waves.

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The Comparative Study for Software Reliability Models Based on NHPP (NHPP에 기초한 소프트웨어 신뢰도 모형에 대한 비교연구)

  • Gan, Gwang-Hyeon;Kim, Hui-Cheol;Lee, Byeong-Su
    • The KIPS Transactions:PartD
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    • v.8D no.4
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    • pp.393-400
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    • 2001
  • This paper presents a stochastic model for the software failure phenomenon based on a nonhomogeneous Poisson process (NHPP). The failure process is analyzed to develop a suitable mean value function for the NHPP ; expressions are given for several performance measure. Actual software failure data are compared with generalized model by Goel dependent on the constant reflecting the quality of testing. The performance measures and parametric inferences of the new models, Rayleigh and Gumbel distributions, are discussed. The results of the new models are applied to real software failure data and compared with Goel-Okumoto and Yamada, Ohba and Osaki models. Tools of parameter inference was used method of the maximun likelihood estimate and the bisection algorithm for the computing nonlinear root. In this paper, using the sum of the squared errors, model selection was employed. The numerical example by NTDS data was illustrated.

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An Analysis of Statistical Characteristics of Nonlinear Ocean Waves (비선형 해양파의 통계적 특성에 대한 해석)

  • Kim, Do-Young
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.13 no.2
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    • pp.112-120
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    • 2010
  • In this paper time series wave data measured continuously for 24 hours during a storm in Yura Sea Area are used to investigate statistical characteristics of nonlinear waves. The exceedance probability of wave height is compared using the Rayleigh distribution and the Edgeworth-Rayleigh (ER) distribution. Wave data which show stationary state for 10 hours contain 4600 waves approximately. The Gram-Chalier distribution fits the probability of wave elevation better than the Gaussian distribution. The Rayleigh ($H_{rms}$) distribution follows the exceedance probability of wave height in general and predicts the probability of freak waves well. The ER distribution overpredicts the exceedance probability of wave heights and the occurrence of freak waves. If wave data measured for 30 minute period which contains 250 waves are used, the ER distribution can predict the occurrence probability of freak waves well. But it overpredicts the probability of overall wave height If no freak wave occurs, the Rayleigh ($H_{rms}$) distribution agrees well with wave height distribution for the most of wave height ranges. The wave height distribution of freak waves of which height are less than 10 m shows similar tendency compared with freak waves greater than 10 m. The value of $H_{max}/H_{1/3}$ is related to the kurtosis of wave elevation. It seems that there exists threshold value of the kurtosis for the occurrence of freak waves.

Failure Time Prediction Capability Comparative Analysis of Software NHPP Reliability Model (소프트웨어 NHPP 신뢰성모형에 대한 고장시간 예측능력 비교분석 연구)

  • Kim, Hee-Cheul;Kim, Kyung-Soo
    • Journal of Digital Convergence
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    • v.13 no.12
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    • pp.143-149
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    • 2015
  • This study aims to analyze the predict capability of some of the popular software NHPP reliability models(Goel-Okumo model, delayed S-shaped reliability model and Rayleigh distribution model). The predict capability analysis will be on two key factors, one pertaining to the degree of fitment on available failure data and the other for its prediction capability. Estimation of parameters for each model was used maximum likelihood estimation using first 80% of the failure data. Comparison of predict capability of models selected by validating against the last 20% of the available failure data. Through this study, findings can be used as priori information for the administrator to analyze the failure of software.

Wave Climate at Hong-do and Mara-do Sea Areas (홍도와 마라도 해역에서의 파후에 대하여)

  • Kim Do Young
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.1 no.2
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    • pp.71-81
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    • 1998
  • In this paper the statistical characteristics of the waves at Hong-do and Mara-do are examined. The wane scatter diagrams of H/sub s/ and T/sub z/ and H/sub 1/3/and T/sub 1/3/ at two locations are given and various statistical characteristics of the ocean waves are examined. If the sea is not narrowband, the modified Rayleigh distribution introduced by Longuet-Higgins can be used for the individual wave height distribution. However the modified Rayleigh distribution has not been widely used due to the inconvenience of determining the empirical constant. In this paper a simple method to determine the empirical constant for the modified Rayleigh distribution is proposed. Extreme waves based on the measured wave data are estimated. There is no significant difference depending on the distribution functions. However the estimations of the extreme waves from H/sub s/ and H/sub 1/3/ show considerable difference.

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