• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2005.10a
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• pp.62-63
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• 2005

• Bulletin of the Korean Chemical Society
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• v.31 no.11
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• pp.3441-3444
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• 2010

• Bulletin of the Society of Naval Architects of Korea
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• v.5 no.2
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• pp.51-52
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• 1968

The effect of trim on the form factor K was investigated by the towing tank test using a 4 ft. Mariner model. The effect is considerably small. The results are shown in Fig.1.

• Journal of Electrical Engineering and Technology
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• v.11 no.5
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• pp.1153-1164
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• 2016

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.435-439
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• 2007

This paper deals with RLS algorithm using Newton-Raphson method based adaptive forgetting factor for a passive telemetry RF sensor system in order to estimate the time variant parameter to be included in RF sensor model. For this estimation with RLS algorithm, phasor typed RF sensor system modelled with inductive coupling principle is used. Instead of applying constant forgetting factor to estimate time variant parameter, the adaptive forgetting factor based on Newton-Raphson method is applied to RLS algorithm without constant forgetting factor to be determined intuitively. Finally, we provide numerical examples to evaluate the feasibility and generality of the proposed method in this paper.

• Journal of the Korean Operations Research and Management Science Society
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• v.32 no.2
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• pp.41-51
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• 2007

We categorize quality management practices as two factors ; 'infra factor' and 'process factor.' We confirm the factors' statistical significance with empirical investigation about 167 manufacturing companies in nationwide. Moreover, we find the two factors affect positively on the manufacturing capabilities of differentiation and reliability, and on the performances as improving products and process. We prove these results with empirical method of structural equation model and AMOS program.

• Journal of the Korean Statistical Society
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• v.29 no.4
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• pp.443-454
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• 2000

In Bayesian model selection or testing problems of different dimensions, the conventional Bayes factors with improper noninformative priors are not well defined. The intrinsic Bayes factor and the fractional Bayes factor are used to overcome such problems by using a data-splitting idea and fraction, respectively. This article addresses a Bayesian testing for the comparison of two normal means with unknown variance. We derive proper intrinsic priors, whose Bayes factors are asymptotically equivalent to the corresponding fractional Bayes factor. We demonstrate our results with two examples.

• KCID journal
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• v.21 no.1
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• pp.64-77
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• 2014

This study evaluated the soil loss considering the R-Factor value following the climate change. To calculate the soil loss of the basin in Jaun-ri, Hongcheon-gun which is the study area, the future climate change scenario and convenience revision were used to build the past 30 years, future 30 years R-Factor and it was applied to USLE model. As a result, as the R-Factor value declined a little in the future, the soil loss was also reduced but it corresponds to the 'very high' according to the OECD soil loss grade so the solution to reduce the soil loss is necessary and it can be used for another study material.

• Korea Journal of Hospital Management
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• v.1 no.1
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• pp.136-153
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• 1996

The purpose of this study is to identify the factors hindering hospital reengineering project in one university hospital. The data was collected by the self-administered Questionnaire to 288 members of the hospital in Pusan on April 5-18, 1996. This study took some statistical methodologies, such as descriptive analysis, factor analysis and logit model analysis. The results were as follows; First, in the descriptive analysis for whether the hospital reengineering named RUSH94 was a success or not, the subjects judged that it was not successful and regarded their fable mutual communication as the main factor. Second, in the reason of failure at the reengineering project, the group who thought that the failure factor was the lack of mutual consensus checked the scores of the first factor produced from the factor analysis.

• Transactions of the Korean Society of Mechanical Engineers
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• v.18 no.6
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• pp.1430-1438
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• 1994

Friction-factors for honeycomb surfaces are measured with a flat plate tester. The flat plate test apparatus is described and method is discussed for determining the friction-factor experimentally. The friction-factor is calculated for the flat plate test based on the Fanno-line flow. The test parameters are honeycomb cell width, depth, clearance, inlet pressure, and Reynolds number(or Mach number). A new empirical friction-factor model for honeycomb surfaces are developed as a function of these parameters.