• The Korean Journal of Applied Statistics
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• v.26 no.5
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• pp.697-712
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• 2013

When analyzing repeated binary data, the generalized estimating equations(GEE) approach produces consistent estimates for regression parameters even if an incorrect working correlation matrix is used. However, time-varying covariates experience larger changes in coefficients than time-invariant covariates across various working correlation structures for finite samples. In addition, the GEE approach may give biased estimates under missing at random(MAR). Weighted estimating equations and multiple imputation methods have been proposed to reduce biases in parameter estimates under MAR. This article studies if the two methods produce robust estimates across various working correlation structures for longitudinal binary data with time-varying covariates under different missing mechanisms. Through simulation, we observe that time-varying covariates have greater differences in parameter estimates across different working correlation structures than time-invariant covariates. The multiple imputation method produces more robust estimates under any working correlation structure and smaller biases compared to the other two methods.

• Convergence Security Journal
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• v.8 no.3
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• pp.33-39
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• 2008

Software failure time presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing. For data analysis of software reliability model, data scale tools of trend analysis are developed. The methods of trend analysis are arithmetic mean test and Laplace trend test. Trend analysis only offer information of outline content. In this paper, we discuss exponentially weighted moving average chart, in measuring failure time. In control, exponentially weighted moving average chart's uses are efficiency case of analysis with knowing information, Using real software failure time, we are proposed to use exponentially weighted moving average chart and comparative analysis of software failure time.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.19 no.1 s.71
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• pp.39-46
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• 2006

This paper analyzes the continuous Galerkin method for the space-time discretization of wave equation. The method of space-time finite elements enables the simple solution than the usual finite element analysis with discretization in space only. We present a discretization technique in which finite element approximations are used in time and space simultaneously for a relatively large time period called a time slab. The weighted residual process is used to formulate a finite element method for a space-time domain. Instability is caused by a too large time step in successive time steps. A stability problem is described and some investigations for chosen types of rectangular space-time finite elements are carried out. Some numerical examples prove the efficiency of the described method under determined limitations.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.4
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• pp.90-103
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• 2012

Mallipo is a representative beach contaminated by Hebei Spirit oil spill accident in December 2007. This study aims to compare the differences of two seasons (winter and summer) for the spatio-temporal variation patterns of oiling status in the whole area and divided five regions of Mallipo beach. In the whole area, the decreasing rate of average TPH (total petroleum hydrocarbon) in winter was twice greater than summer during four years. According to the spatial variation pattern analysis of oiling status using weighted mean center and weighted standard distance, the oil concentration was clustered on southwestern region in winter, however, the TPH was dispersed in the whole area in summer. Temporal variation pattern of TPH in each of Mallipo's five regions showed that TPH had been consistently decreased in winter, but oil concentration had not been changed in summer since 2009 except the southwestern region. Therefore, in order to evaluate and predict the progress of oiling status, it is needed to analyze the spatio-temporal variation pattern of TPH using spatial analysis after separating data into seasons (e.g., winter and summer). In addition, time series analysis is useful in the regional scales through spatial partitioning rather than the whole beach area for the understanding of temporal variation pattern.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.11a
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• pp.444-447
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• 2000

본 논문에서는 종래의 정적인 디지털 패턴 매칭을 행하는 연상메모리와는 달리 아놀로그의 시계열정보를 직접 처리하여 시간축 방향으로 설정하는 것으로 강인성이 뛰어난 연상기억시스템을 제안하였다. 시스템의 기본적인 능력을 조사하기 위하여 기억패턴을 주기계열로 그리고 하중은 전부 고정하는 조건으로 단순화하여 시뮬레이션을 행하여 오류 정정능력을 갖는 것을 확인하였다. 시간축 방향의 하중을 적절하게 설정하면 기억용량의 증대나 상기 오류의 저감 등의 효과가 기대된다.

• The Korean Journal of Applied Statistics
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• v.21 no.2
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• pp.233-245
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• 2008

In this work, a new adaptive weighted mean filter is proposed for preserving image details while effectively suppressing impulse noise. The proposed filter is based on a noise pixel detection-estimation strategy. All the pixels are first detected using an impulse noise detector. Then the detected noise pixels are replaced with the output of the weighted mean filter over adaptive working window according to the rate of corrupted neighborhood pixels, while noise-free pixels are left unaltered. We compare the proposed filter to other existing filters in the qualitative measure and quantitative measures such as PSNR and MAE as well as computation time to verify the capability of the proposed filter. Extensive simulations show that the proposed filter performs better than other filters in impulse noise suppression and detail preservation without increasing of running time.

• Proceedings of the Korea Contents Association Conference
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• 2004.05a
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• pp.169-175
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• 2004

현재 우리나라의 수돗물 생산 대비 부과요금, 즉 유수율은 전국 평균 약 75％에 머무르고 있는 실정이다. 이는 생산원가의 상승요인이 되어 결국은 시민의 요금부담을 가중시킴은 물론 지자체의 재정압박이 되고 있는 것이 현실이다. 이에는 효율적인 검침개선과 유수율 향상을 위해 AMR(자동검침시스템)을 활용한 시간적, 공간적 각종 경비절감과 과금현실화, 민원감소 등을 통한 효율적 물관리와 사용으로 유수율의 향상 및 개선을 위한 방법과 대안을 청주시를 중심으로 GIS와 연계하여 제시하고자 한다.

• The Journal of the Acoustical Society of Korea
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• v.40 no.5
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• pp.460-465
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• 2021

In active sonar, time delay estimation is used to find the distance between the target and the sonar. Among the time delay estimation methods for active sonar, estimation in the frequency domain is widely used. When estimating in the frequency domain, the time delay can be thought of as a frequency estimator, so it can be used relatively easily. However, this method is prone to rapid increase in error due to noise. In this paper, we propose a new method which applies weighted dictionary and sparsity in order to reduce this error increase and we extend it to two receivers to propose an algorithm for estimating the time delay between two receivers. And the case of applying the proposed method and the case of not applying the proposed method including the conventional frequency domain algorithm and Generalized Cross Correlation-Phase transform (GCC-PHAT) in a white noise environment were compared with one another. And we show that the newly proposed method has a performance gain of about 15 dB to about 60 dB compared to other algorithms.

• Journal of the Korean Society of Safety
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• v.8 no.4
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• pp.201-206
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• 1993

A space-time finite element method was presented for time dependent problem. The method which treat both the space and time unformly were proposed and numerically tested. The weighted residual process was used to formulate a finite element method in a space-time domain based upon continuous Galerkin method. This method leads to a conditional stabie high-order accurate solver.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.31-33
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• 2003

기능 검사(function simulation)란 하드웨어 시스템의 설계시 모델의 기능, 성능, 표준 준수 여부, 그리고 다른 상위 수준 조건의 관점에서 그 설계를 분석하는 중요한 설계 흐름이다. 하지만 복잡한 기존의 기능 검사의 절차는 사용자의 요구에 의해 하드웨어 시스템이 점점 복잡해지고 정보산업의 발전에 따라 개발 주기가 점점 빨라지는 시장의 특성으로 인해 설계자에게 많은 시간적 경제적인 부담감을 준다. 본 논문에서는 설계자에게 가중되는 부담을 극복하고 보다 효율적인 하드웨어 시스템의 모델링 및 기능 검사를 위해 오토마타 동치성 검사를 통한 하드웨어 시스템의 논리적 정확성 확인 방법론을 제안한다.