• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.17 no.3
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• pp.56-63
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• 2003

A silent type ozone generator using water surface has been studied and improved its ozone generation characteristics by installing dielectric heads in the just under the surface of the wale- At this time, different permittivitis of dielectric beads were used to change the discharge condition of water surface. The current-voltage characteristics and characteristics of ozone generation quantity of the test system were investigated and discharge photos of glass beads were observed The height of Taylor cone may be the cause of the discharge bridge to decrease the ozone generation on the discharge spacing. In this study, the hight of Taylor cone could be controlled greatly by installing dielectric beads just under the water surface. Therefore a higher ozone generation also could be obtained. As the permittivity of dielectric material increased. discharge starting voltage was advanced and maximum 110 ppmy of ozone was generated by using the ferroelectric ball.

• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.815-824
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• 2013

Traditional Pearson chi-squared test is not appropriate for the data collected by the complex sample design. When one uses the traditional Pearson chi-squared test to the complex sample categorical data, it may give wrong test results, and the error may occur not only due to the biased variance estimators but also due to the biased point estimators of cell proportions. In this study, the design based consistent Wald test statistics was derived for k-population homogeneity test, and the traditional Pearson chi-squared test statistics was partitioned into three parts according to the causes of error; the error due to the bias of variance estimator, the error due to the bias of cell proportion estimator, and the unseparated error due to the both bias of variance estimator and bias of cell proportion estimator. An analysis was conducted for empirical results of the relative size of each error component to the Pearson chi-squared test statistics. The second year data from the fourth Korean national health and nutrition examination survey (KNHANES, IV-2) was used for the analysis. The empirical results show that the relative size of error from the bias of variance estimator was relatively larger than the size of error from the bias of cell proportion estimator, but its degrees were different variable by variable.