• Proceedings of the Korean Statistical Society Conference
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• 2002.11a
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• pp.169-174
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• 2002

본 연구는 k개 지수분포 모수들의 기하평균에 대한 베이지안추정 방법을 제시하였다. 이를 위해 Tibshirani가 제안한 직교변환법으로 비정보적 사전확률분포를 도출하여 모수들의 결합사후확률분포를 유도해 내었으며, 이 분포 하에서 가중 몬테칼로 방법을 사용하여 기하평균을 추정하는 절차를 제안하였다. 모의실험과 실제자료의 예를 통해 제안된 베이지안 추정의 유효성 및 효용성을 보였으며, 본 연구에서 제안한 사전확률분포가 전통적인 포함확률을 기준으로 볼 때, Jeffrey의 사전확률분포 보다 더 유효한 추정을 함을 보였다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.457-459
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• 2004

본 논문에서는 NHPP에 기초한 여러 기존 소프트웨어 신뢰도 모델들이 가중 산술, 가중 기하, 또는 가중 조화평균의 개념을 적용하여 어떻게 유도되는가를 기술한다. 그 외에도, 이러한 3개의 가중치 평균에 근거하여 유사산술의 관점으로부터 좀더 일반적인 NHPP 모델을 제안한다. 상기 3개 평균 외에 변환의 파라미터 계열을 포함한 좀더 일반적인 변환을 공식화한다. 이러한 일반적인 프레임웍 하에서 기존의 NHPP를 입증하고 여러 가지 새로운 NHPP클 유도한다. 우리는 이러한 접근법들이 상이한 조건 하의 여러 가지 잘 알려진 모델들을 포함하는 것으로 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.376-378
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• 2005

일반적으로, 소프트웨어결함검출/제거메카니즘은 이전의 검출/제거결함과 테스트노력을 어떻게 활용하느냐에 달려있다. 실제 현장 연구로부터 우리는 테스트노력소모패턴을 추론하여 FDR의 경향을 예측할 수 있을 것으로 생각된다. 결함검출이 증가, 감소 및 일정한 것 등 광범위에 걸쳐서 나타나는 경향을 잡아내는 고유의 융통성을 가지는 하나의 시변수집합인 FDR모델에 근거한 테스트노력을 개발하였다. 본 논문에서는 FDR을 기술하고, 관련된 테스트 행위를 이러한 새로운 모델링접근법에 연합시킬 수 있다. 우리의 모델과 그리고 이것과 관련된 파라미터 분해기법을 적용한 것을 여러 가지 소프트웨어 프로젝트에서 도출한 실제 데이터집합을 통하여 시연한다. 모델들이 가중 산술, 가중 기하, 또는 가중 조화평균의 개념을 적용하여 어떻게 유도되는가를 기술한다. 그 외에도, 이러한 3개의 가중치 평균에 근거하여 유사산술의 관점으로부터 좀더 일반적인 NHPP 모델을 제안한다. 상기 3개 평균 외에 변환의 파라미터 계열을 포함한 좀더 일반적인 변환을 공식화한다.

• Journal of Advanced Marine Engineering and Technology
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• v.30 no.2
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• pp.311-318
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• 2006

In this study, the performance tests for single and dual micro processor configurations are performed to investigate how the accelerated OpenGL components and applications are dependent on processor configurations. At present, many major providers of the engineering graphics workstations have recommended that multiprocessors are better than single processor. However, we confirmed that the single processor configuration is more faster and more effective than competitive configurations and suggested the economic method to improve the performance of the engineering graphics workstations.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.4
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• pp.563-568
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• 2007

This paper presents a methodology for predicting nonlinear time series based on the neural network with weighted fuzzy membership functions (NEWFM). The degree of classification intensity is obtained by bounded sum of weighted fuzzy membership functions extracted by NEWFM, then weighted average defuzzification is used for predicting nonlinear time series. The experimental results demonstrate that NEWFM has the classification capability of 92.22% against the target class of GDP. The time series created by NEWFM model has a relatively close approximation to the GDP which is a typical business cycle indicator, and has been proved to be a useful indicator which has the turning point forecasting capability of average 12 months in the peak point and average 6 months in the trough point during 5th to 8th cyclical period. In addition, NEWFM measures the efficiency of the economic indexes by the feature selection and enables the users to forecast with reduced numbers of 7 among 10 leading indexes while improving the classification rate from 90% to 92.22%.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.11 no.2
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• pp.69-77
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• 1993

Investigation is given to the detailed procedure of a computer assisted automatic correction for scanning errors of the digital images of close-range photographs scanned by the CCD camera scanner. After determination of the exterior orientation parameters, photo coordinates of the all pixels were calculated using collinearity equation. For the generation of geometric corrected image from the photo coordinates of the all pixels, inverse-weighted-distance average method was used. And the accuracy of the resulting new image was checked comparing its image coordinates with there corresponding ground coordinates for the check points.

• Journal of Aerospace System Engineering
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• v.16 no.6
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• pp.8-17
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• 2022

This paper presents a novel geometric modeling technique to predict the mechanical properties of an aircraft wing's skin-stringer integrated panel. Due to mechanical and adhesive fastening, this panel is vulnerable to stress concentration and debonding, so we designed it to integrate the skin and stringer using three-dimensional woven composites. Geometric modeling was conducted by measuring the geometric parameters of the specimen and defining the pattern of the yarns as functions. We used a weighted average model with iso-strain and iso-stress assumptions to predict the mechanical properties of the panel parts. We then compared the results of a finite element analysis with a compression test to verify the accuracy of our model. Our proposed technique proved to be more efficient than the traditional experimental method for predicting the mechanical properties of skin-stringer integrated panels.

• The Korean Journal of Applied Statistics
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• v.27 no.5
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• pp.755-771
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• 2014

Isotropy is one of the main assumptions for the ease of spatial prediction (named kriging) based on some covariance models. A lack of isotropy (or anisotropy) in a spatial process necessitates that some additional parameters (angle and ratio) for anisotropic covariance model be obtained in order to produce a more reliable prediction. In this paper, we propose a new class of geometrically extended anisotropic covariance models expressed as a weighted average of some geometrically anisotropic models. The maximum likelihood estimation method is taken into account to estimate the parameters of our interest. We evaluate the performances of our proposal and compare it with an isotropic covariance model and a geometrically anisotropic model in simulation studies. We also employ extended geometric anisotropy to the analysis of real data.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.11 no.6
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• pp.709-715
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• 1999

To optimize a heating and cooling system, we need an exact solution lot radiant heat transfer in any form of room or building. This paper describes the solution method of view factor by the area weighted average and graphical method to calculate the radiant heat exchange or daylighting level in any form of room or building. This study shows that the area weighted average and graphical methods have many points of merits(calculation speed, correctness and calculation capability in an arbitrary form of room shapes etc.) compared with existing methods

• Computational Structural Engineering
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• v.8 no.1
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• pp.127-136
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• 1995

In this paper the stochastic FE analysis considering the material and geometrical property of the plate structure is performed by the weighted integral method. To consider the stochasity of the material and geometrical property, the stochastic field is assumed respectively. The mean value of the stochastic field is 0 and the value of variance is assumed as 0.1. The characteristics of the assumed stochastic field is represented by auto-correlation function. This auto-correlation function is used in evaluating the response variability of the plate structure. In this study a new auto-correlation function is derived to concern the uncertainty of the plate thickness. The newly derived auto-correlation function is a function of auto-correlation function and coefficient of variation of the assumed stochastic field. The two results, obtained by proposed Weighted Integral method and Monte Carlo Simulation method, are coincided with each other and these results are almost equal to the theoretical result that is derived in this study. In the case of considering the variability of plate thickness, the obtained result is well coincide with those of Lawrence and Monte Carlo simulation.