• Title/Summary/Keyword: variance structure

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A study on nonlinear channel equalization using RBF network (RBF 네트워크를 이용한 비선형 채널 등화에 관한 연구)

  • 전선도;위진우;강철호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.1
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    • pp.64-71
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    • 1997
  • Digital communication channels are imparied by linear effects such as dispersion, ISI(intersymbol Interference), fading phenomenon etc. But, the practical channel equalization system is required to design for compensating the nonlinear distortion caused by harmonic distortion etc. This paper is a study on the performance of nonlinear channel equalization using RBF(Radial Basis Funclion) network, which has the equivalent structure to the optimal Basian filter. Expecially, the variance of RBF network is modifiedby nonlinear polynomial filters to compare the convergence characteristic of nonlinear channel equalization. Experimental results show that the modified RBF network achieves the faster convergence property than conventional RBF network. Moreover, the RBF network ofhigher order variance modified represents the better performance than that of lower order variance in the bandpass channels and second/third order polynomial channels.

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A Method for Selecting Ground Motions Considering Target Response Spectrum Mean, Variance and Correlation - I Algorithm (응답 스펙트럼의 평균과 분산, 상관관계를 모두 고려한 지반운동 선정 방법 - I 알고리즘)

  • Han, Sang Whan;Ha, Seong Jin;Cho, Sun Wook
    • Journal of the Earthquake Engineering Society of Korea
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    • v.20 no.1
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    • pp.55-62
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    • 2016
  • It is important to select an accurate set of ground motions when conducting linear and nonlinear response history analyses of structures. This study proposes a method for selecting ground motions from a ground motion library with response spectra that match the target response spectrum mean, variance and correlation structures. This study also has addressed the determination of an appropriate value for the weight factor of a correlation structure. The proposed method is conceptually simple and straightforward, and does not involve a simulation algorithm. In this method, a desired number of ground motions are sequentially selected from first to last. The proposed method can be also used for selecting ground motions with response spectra that match the conditional spectrum. The accuracy and efficiency of the proposed procedure are verified with numerical examples.

Stochastic Finite Element Analysis of Underground Structure considering Elasto-Plastic Behavior (탄소성을 고려한 지하구조체의 확률유한요소해석)

  • 김상효;나경웅
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1998.04a
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    • pp.157-164
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    • 1998
  • An elasto-plastic stochastic finite element method is developed to evaluate the probability of failure of the underground structure. The Mohr-Coulomb failure criteria is adopted for yield condition. The material properties such as the elastic modulus and the cohesion are assumed to be statistically independent random variables which are modeled as spatial stochastic fields. The displacements around the excavated area and the probability of the failure are examined by varying the coefficient of variance for each variables. It is found that the developed procedure can provide the proper probabilistic information about the failure of the underground structure

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Non-parametric approach for the grouped dissimilarities using the multidimensional scaling and analysis of distance (다차원척도법과 거리분석을 활용한 그룹화된 비유사성에 대한 비모수적 접근법)

  • Nam, Seungchan;Choi, Yong-Seok
    • The Korean Journal of Applied Statistics
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    • v.30 no.4
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    • pp.567-578
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    • 2017
  • Grouped multivariate data can be tested for differences between two or more groups using multivariate analysis of variance (MANOVA). However, this method cannot be used if several assumptions of MANOVA are violated. In this case, multidimensional scaling (MDS) and analysis of distance (AOD) can be applied to grouped dissimilarities based on the various distances. A permutation test is a non-parametric method that can also be used to test differences between groups. MDS is used to calculate the coordinates of observations from dissimilarities and AOD is useful for finding group structure using the coordinates. In particular, AOD is mathematically associated with MANOVA if using the Euclidean distance when computing dissimilarities. In this paper, we study the between and within group structure by applying MDS and AOD to the grouped dissimilarities. In addition, we propose a new test statistic using the group structure for the permutation test. Finally, we investigate the relationship between AOD and MANOVA from dissimilarities based on the Euclidean distance.

Analysis of Molecular Variance and Population Structure of Sesame (Sesamum indicum L.) Genotypes Using Simple Sequence Repeat Markers

  • Asekova, Sovetgul;Kulkarni, Krishnanand P.;Oh, Ki Won;Lee, Myung-Hee;Oh, Eunyoung;Kim, Jung-In;Yeo, Un-Sang;Pae, Suk-Bok;Ha, Tae Joung;Kim, Sung Up
    • Plant Breeding and Biotechnology
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    • v.6 no.4
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    • pp.321-336
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    • 2018
  • Sesame (Sesamum indicum L.) is an important oilseed crop grown in tropical and subtropical areas. The objective of this study was to investigate the genetic relationships among 129 sesame landraces and cultivars using simple sequence repeat (SSR) markers. Out of 70 SSRs, 23 were found to be informative and produced 157 alleles. The number of alleles per locus ranged from 3 - 14, whereas polymorphic information content ranged from 0.33 - 0.86. A distance-based phylogenetic analysis revealed two major and six minor clusters. The population structure analysis using a Bayesian model-based program in STRUCTURE 2.3.4 divided 129 sesame accessions into three major populations (K = 3). Based on pairwise comparison estimates, Pop1 was observed to be genetically close to Pop2 with $F_{ST}$ value of 0.15, while Pop2 and Pop3 were genetically closest with $F_{ST}$ value of 0.08. Analysis of molecular variance revealed a high percentage of variability among individuals within populations (85.84%) than among the populations (14.16%). Similarly, a high variance was observed among the individuals within the country of origins (90.45%) than between the countries of origins. The grouping of genotypes in clusters was not related to their geographic origin indicating considerable gene flow among sesame genotypes across the selected geographic regions. The SSR markers used in the present study were able to distinguish closely linked sesame genotypes, thereby showing their usefulness in assessing the potentially important source of genetic variation. These markers can be used for future sesame varietal classification, conservation, and other breeding purposes.

The Implementation Performance Evaluation of PR-File Based on Circular ar Domain (순환도메인을 기반으로 하는 PR-화일의 구현 및 성능 평가)

  • Kim, Hong-Ki;Hwang, Bu-Hyun
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.1
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    • pp.63-76
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    • 1996
  • In this paper, we propose a new dynamic spatial index structure, called PR -file, for handling spatial objects and the modified hierarchical variance which measures the degree of spatial locality at each level. Under the assumption that a multidimensional search space has a circular domain, PR-file uses the modified hierarchical variance for clustering spatially adjacent objects. The insertion and splitting algorithms of PR_file preserve and index which has a low hierarchical variance regardless of object distributions. The simulation result shows that PR- file has a high hit ratio during a retrieval of objects by using an index with low hierarchical variance. And it shows a characteristic that the larger the bucket capacity, the higher the bucket utilization.

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The Effect of Labor Unions on the Wage Variance in Korean Manufacturing Industry (임금분산에 대한 노동조합의 효과: 제조업을 중심으로)

  • Kang, Seungbok;Park, Cheolsung
    • Journal of Labour Economics
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    • v.37 no.3
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    • pp.45-73
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    • 2014
  • This study analyzes the effect of labor unions in Korean manufacturing industry on wage variance of men from 1988 to 2012. The results are as follows. Firstly, the wage variance within establishments is higher than that between establishments, and the wage variance between establishments in the non-union sector has increased significantly compared to that in the union sector since 2000. There is strong evidence that the latter is due to the solidarity wage policy of unions which has strengthened since the early 2000s. Secondly, the influence of labor unions on the wage structure within the union sector has gotten stronger recently despite the general drop in the labor union membership. Thirdly, since the mid-1990s labor unions have contributed to reducing the overall wage variance. It implies that decline in the unionization rate over the years in Korea is likely to have contributed to increasing wage inequality.

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A Study on Adaptive GOP Structure for SVC (스케일러블 동영상 부호화를 위한 적응적 GOP 구조에 관한 연구)

  • Jeong, Se-Yoon;Park, Min-Woo;Park, Gwang-Hoon;Kim, Kyeu-Heon;Hong, Jin-Woo
    • Journal of Broadcast Engineering
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    • v.10 no.4 s.29
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    • pp.463-473
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    • 2005
  • In this paper, we propose Adaptive GOP Structure to enhance the coding performance of scalable video coding in JVT. Adaptive GOP Structure considers temporal variances of video sequence. In general, SVC encodes a video sequence with fixed GOP size. The coding performance is varying according to the temporal variance of a video sequence. Thus, Adaptive GOP Structure method is proposed. It selects GOP size adaptively by considering temporal variance of video sequence. In the experiments, the propose method showed the enhanced coding performance in most sequences. The PSNR gain of Crew sequence is up to 0.63 dB.

Design of the optimal stochastic inputs for linear system parameter estimation (선형계통의 파라미터 추정을 위한 최적 확률 입력신호의 설계)

  • ;;Lee, S. W.
    • 제어로봇시스템학회:학술대회논문집
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    • 1987.10b
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    • pp.168-173
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    • 1987
  • The optimal Input design problem for linear system Which have the common parameters in the system and noise transfer functions. Exploiting the assumed Model structure and deriving the information matrix structure in detail, D-optimal open-loop stochastic input can be realized as an ARMA process under the Input or output variance constraints. In spite of the reduced order, It Is necessary to develop an efficient algorithms for the optimation with respect to the .rho..

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패널내 추계적 요인들의 공분산 관계에 의한 ML추정

  • 이회경;이진우
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1993.04a
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    • pp.424-436
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    • 1993
  • 패널내 추계적 성분들의 공분산 관계(variance-covariance structure)를 이용한 ML 추정법을 항상소득가설(PIH)의 검증에 적용하였다. Hall & Mishkin의 모형을 기초로 분기별 이분산성(heteroscedasticity)을 고려한 모형의 추정결과 전체 소비변동 중 약 11%가 과도민감성에 의한 것으로 나타났다.

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