• Title/Summary/Keyword: the mean

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Prediction of Mean Diameters Based on the Instability Theory for Twin Fluid Nozzle (불안정 이론을 이용한 2유체 노즐에서의 분무입경예측)

  • Kim, Kwan-Tae;Ahn, Kook-Young;Kim, Han-Seok;Ryu, Jeong-In
    • Journal of the Korean Society of Combustion
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    • v.1 no.1
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    • pp.57-64
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    • 1996
  • The atomizing characteristics in a spray injected from a twin fluid atomization nozzle have been investigated. The Sauter mean diameters as mean diameter are compared with wavelength calculated from the instability theory. The Sauter mean diameter are measured by the Fraunhofer diffraction theory using the Malvern particle sizer. The wavelength is calculated using the mean relative velocity instead of the exit relative velocity of nozzle. Also shadowgraphy technique is used to visualize atomization phenomena. This paper gives a possibility that the mean diameter can be predicted with the wavelength obtained by the simple instability theory.

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Least mean absolute third (LMAT) adaptive algorithm:part I. mean and mean-squared convergence properties (최소평균절대값삼승 (LMAT) 적응 알고리즘: Part I. 평균 및 평균자승 수렴특성)

  • 김상덕;김성수;조성호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.10
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    • pp.2303-2309
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    • 1997
  • This paper presents a convergence analysis of the stocastic gradient adaptive algorithm based on the least mean absolute third (LMAT) error criteriohn. Under the assumption that the signals involved are zero-mean, wide-sense sateionaryand gaussian, a set of nonlinear difference equations that characterizes the mean and mean-squared behavior of the algorithm is derived. Computer simulation resutls show fairly good agreements between the theoetical and empirical behaviors of the algorithm.

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The Quality of Commercial Salted and Fermented Anchovy Engraulis japonicas Sauces Produced in Korea (국내산 시판 멸치(Engraulis japonicas) 액젓의 품질평가)

  • Um, In-Seon;Seo, Jung-Kil;Kim, Hee-Dai;Park, Kwon-Sam
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.51 no.6
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    • pp.667-672
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    • 2018
  • We investigated the quality of 12 commercial salted and fermented anchovy Engraulis japonicas sauces by measuring their chemical compositions, bacteria concentrations, and biogenic amine contents. The sauces had a moisture content of 67.13-69.83% (mean: 68.17%), salinity of 20.00-25.84% (mean: 22.29%), pH of 5.14-6.28 (mean: 5.63), volatile basic nitrogen content of 119.12-273.37 mg/100 g (mean: 199.19 mg/100 g), total nitrogen content of 0.82-1.50% (mean: 1.30%) and amino nitrogen content of 550.17-1,086.62 mg/100 g (mean: 774.99 mg/100 g). The viable cell counts ranged from not detected to $1.6{\times}10^3CFU/mL$, and the number of biogenic amine-forming bacteria was very low or undetectable. The tested samples contained 372.32-2,111,61 mg/kg (mean 813.48 mg/kg) histamine, 29.62-144.29 mg/kg (mean 98.14 mg/kg) cadaverine, 87.89-530.84 mg/kg (mean 329.91 mg/kg) tryptamine, 20.89-127.17 mg/kg (mean 60.49 mg/kg) putrescine, and 13.08-109.91 mg/kg (mean 57.74 mg/kg) tyramine. Whereas no spermidine or spermine was detected in any sample. These results strongly suggest the necessary of monitoring the biogenic amine contents of commercial salted and fermented anchovy sauces carefully to ensure consumer health.

Graph Cut-based Automatic Color Image Segmentation using Mean Shift Analysis (Mean Shift 분석을 이용한 그래프 컷 기반의 자동 칼라 영상 분할)

  • Park, An-Jin;Kim, Jung-Whan;Jung, Kee-Chul
    • Journal of KIISE:Software and Applications
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    • v.36 no.11
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    • pp.936-946
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    • 2009
  • A graph cuts method has recently attracted a lot of attentions for image segmentation, as it can globally minimize energy functions composed of data term that reflects how each pixel fits into prior information for each class and smoothness term that penalizes discontinuities between neighboring pixels. In previous approaches to graph cuts-based automatic image segmentation, GMM(Gaussian mixture models) is generally used, and means and covariance matrixes calculated by EM algorithm were used as prior information for each cluster. However, it is practicable only for clusters with a hyper-spherical or hyper-ellipsoidal shape, as the cluster was represented based on the covariance matrix centered on the mean. For arbitrary-shaped clusters, this paper proposes graph cuts-based image segmentation using mean shift analysis. As a prior information to estimate the data term, we use the set of mean trajectories toward each mode from initial means randomly selected in $L^*u^*{\upsilon}^*$ color space. Since the mean shift procedure requires many computational times, we transform features in continuous feature space into 3D discrete grid, and use 3D kernel based on the first moment in the grid, which are needed to move the means to modes. In the experiments, we investigate the problems of mean shift-based and normalized cuts-based image segmentation methods that are recently popular methods, and the proposed method showed better performance than previous two methods and graph cuts-based automatic image segmentation using GMM on Berkeley segmentation dataset.

Analysis of BOD Mean Concentration and Confidence Interval using Bootstrap Technique (Bootstrap 기법을 이용한 BOD 평균 농도 및 신뢰구간 분석)

  • Kim, Kyung Sub
    • Journal of Korean Society on Water Environment
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    • v.26 no.2
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    • pp.297-302
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    • 2010
  • It is very important to know mean and confidence interval of water-quality constituents such as BOD for water-quality control and management of rivers and reservoirs effectively. The mean and confidence interval of BOD at Anseong2 and Hwangguji3 sampling stations which are located at the border of local governments in Anseong Stream were estimated and analyzed in this paper using Bootstrap technique which is one of non-parametric statistics. The results of Bootstrap were compared with arithmetic mean, geometric mean, Biweight method mean as a point estimator and distribution mean came from the appropriate probability distribution of Log-normal. In Bootstrap technique 12 data set was randomly selected in each year and 1000 samples was produced to get parameter of population. Visual Basic for Applications (VBA) of Microsoft Excel was utilized in Bootstrap. It was revealed that the Bootstrap technique can be used to explain more rigorously and robustly the achievement or violation of BOD target concentration in Total Maximum Daily Load (TMDL).

Asymptotic Gaussian Structures in a Critical Generalized Curie-Wiss Mean Field Model : Large Deviation Approach

  • Kim, Chi-Yong;Jeon, Jong-Woo
    • Journal of the Korean Statistical Society
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    • v.25 no.4
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    • pp.515-527
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    • 1996
  • It has been known for mean field models that the limiting distribution reflecting the asymptotic behavior of the system is non-Gaussian at the critical state. Recently, however, Papangelow showed for the critical Curie-Weiss mean field model that there exist Gaussian structures in the asymptotic behavior of the total magnetization. We construct Gaussian structures existing in the internal fluctuation of the system for the critical case of a generalized Curie-Weiss mean field model.

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Estimation of the Mean and Variance for Normal Distributions whose Both Sides are Truncated

  • Hong, Chong-Sun;Choi, Yun-Young
    • Communications for Statistical Applications and Methods
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    • v.9 no.1
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    • pp.249-259
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    • 2002
  • In order to estimate the mean and variance for a Normal distribution which is truncated at both right and left sides, maximum likelihood estimators based on the entire sample from the original distribution are compared with the sample mean and variance of the censored sample which is the data remaining after truncation using simulation. We found that, surprisingly, the mean squared error of the mean based on the censored data Is smaller than that of the full sample estimators.

FATOU THEOREM AND EMBEDDING THEOREMS FOR THE MEAN LIPSCHITZ FUNCTIONS ON THE UNIT BALL

  • Cho, Hong-Rae;Lee, Jin-Kee
    • Communications of the Korean Mathematical Society
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    • v.24 no.2
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    • pp.187-195
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    • 2009
  • We investigate the boundary values of the holomorphic mean Lipschitz function. In fact, we prove that the admissible limit exists at every boundary point of the unit ball for the holomorphic mean Lipschitz functions under some assumptions on the Lipschitz order. Moreover, we get embedding theorems of holomorphic mean Lipschitz spaces into Hardy spaces or into the Bloch space on the unit ball in $\mathbb{C}_n$.

A Family of Tests for Trend Change in Mean Residual Life with Known Change Point

  • Na, Myung-Hwan;Kim, Jae-Joo
    • Communications for Statistical Applications and Methods
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    • v.7 no.3
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    • pp.789-798
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    • 2000
  • The mean residual function is the expected remaining life of an item at age x. The problem of trend change in the mean residual life is great interest in the reliability and survival analysis. In this paper, we develop a family of test statistics for testing whether or not the mean residual life changes its trend. The asymptotic normality of the test statistics is established. Monte Carlo simulations are conducted to study the performance of our test statistics.

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Rate of Convergence of Empirical Distributions and Quantiles in Linear Processes with Applications to Trimmed Mean

  • Lee, Sangyeol
    • Journal of the Korean Statistical Society
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    • v.28 no.4
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    • pp.435-441
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    • 1999
  • A 'convergence in probability' rate of the empirical distributions and quantiles of linear processes is obtained. As an application of the limit theorems, a trimmed mean for the location of the linear process is considered. It is shown that the trimmed mean is asymptotically normal. A consistent estimator for the asymptotic variance of the trimmed mean is provided.

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