• Title/Summary/Keyword: Distribution Information

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Optical characteristics of discs for near-filed recording (근접장 기록을 위한 디스크의 광학적 특성)

  • Min, Cheol-Ki;Park, No-Cheol;Park, Kyoung-Su;Park, Young-Pil
    • Transactions of the Society of Information Storage Systems
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    • v.5 no.2
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    • pp.64-69
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    • 2009
  • In this paper, we investigate field distribution and interference pattern in the exit pupil and in the focal region. Also, we compare with metal and dielectric substrate for near-field recording. To obtain field distribution, we use modified vector diffraction theory and Zernike Polynomials. Finally, we design and optimize refractive index and thickness of disk for near-field surface recording and cover-layer incident recording.

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Digital Watermark Algorithm Based on Energy Distribution of Subband Tree Structure in Wavelet Domain (웨이블릿 영역에서 부대역간 트리구조의 에너지 분포에 의한 디지털 워터마크 삽입 알고리즘)

  • 서영호;최순영;박진영;김동욱
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.85-88
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    • 2002
  • In this paper, the proposed watermark algorithm is based on energy distribution of the subband coefficients in the frequency domain and edge of the original image in the spacial domain. Out of these information, the KeyMap which decides the embedded position of watermark is produced. And then the binary watermark is embedded into the wavelet coefficient of LL3 subband using KeyMap and LFSR(Linear Feedback Shift Register).

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Premium Rate of Insurance for Radiators

  • Hong, Yeon-Woong
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.2
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    • pp.383-389
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    • 2005
  • In this paper, we propose the pure premium rate of reliability insurance policy for radiators under the assumption of Weibull physics of failure. We also describe the performance factors which have an effect on failure characteristics of radiators. The maximum likelihood estimates of scale and shape parameters for assumed distribution are obtained by using accelerated life test data of sample sizes 5 using MINITAB.

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Process Evaluation for Reliability Insurance: An Industrial Case Study

  • Hong, Yeon-Woong
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.2
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    • pp.401-410
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    • 2005
  • In this paper, we calculate the premium rate of reliability insurance policy for brake pads for automobiles using real failure data obtained from use-condition. We try process capability analysis for the manufacturing process of brake-system. We describe the performance factors which have an effect on failure characteristics of brake pads. We also obtain the maximum likelihood estimates of shape and scale parameters of the fitted Weibull distribution for brake pads.

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A Simultaneous Test for Multivariate Normality and Independence with Application to Univariate Residuals

  • Park, Cheol-Yong
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.1
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    • pp.115-122
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    • 2006
  • A test is suggested for detecting deviations from both multivariate normality and independence. This test can be used for assessing the normality and independence of univariate time series residuals. We derive the limiting distribution of the test statistic and a simulation study is conducted to study the accuracy of the limiting distribution in finite samples. Finally, we apply our method to a real data of time series.

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Jackknife Estimation in an Exponential Model

  • Woo, Jung-Soo
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.1
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    • pp.193-200
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    • 2004
  • Parametric estimation of truncated point in a truncated exponential distribution will be considered. The MLE, bias reducing estimator and the ordinary jackknife estimator of the truncated parameter will be compared by mean square errors. And the MME and MLE of mean parameter and estimations of the right tail probability in the distribution will be compared by their MSE's.

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A New Approach to an Inventory with Constant Demand

  • Lee, Eui-Yong
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1345-1352
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    • 2008
  • An inventory with constant demand is studied. We adopt a renewal argument to obtain the transient and stationary distribution of the level of the inventory. We show that the stationary distribution can be also derived by making use of either the level crossing technique or the renewal reward theorem. After assigning several managing costs to the inventory, we calculate the long-run average cost per unit time. A numerical example is illustrated to show how we optimize the inventory.

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Parametric Estimations for Parameter Changes in the Exponential Distribution

  • Lee, Chang-Soo;Moon, Yeung-Gil
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.1
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    • pp.107-114
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    • 2005
  • We shall consider parametric estimations for the scale parameter in the exponential distribution when the parameter is function 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 parameter in the small sample sizes.

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A Comparison of NLSY and CPS Data

  • Jo, Yoon-Ae
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.3
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    • pp.851-859
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    • 2006
  • The family income distributions of NLSY97 and CPS youth data are compared by using the generalized beta distribution of the second kind. The null hypothesis that the two data sets represent the same underlying population is rejected. The ML estimation suggests that NLSY97 data are oversampled in an income group of $11,308 or less, by about 15.7% compared to CPS data.

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Jackknife Estimation in a Truncated Exponential Distribution with an Uniform Outlier

  • Lee, Chang-Soo;Chang, Chu-Seock;Park, Yang-Woo
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.3
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    • pp.1021-1028
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    • 2006
  • We shall propose ML, ordinary jackknife and biased reducing estimators of the parameter in the right truncated exponential distribution with an unidentified uniform outlier when the truncated point is unknown and their biases and MSE's are compared numerically each other in the small sample sizes.

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