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박장호,전치혁 대한산업공학회 2012 대한산업공학회 춘계학술대회논문집 Vol.2012 No.5
With the development of computer storage and ability of processing for large amount of data, the multivariate control charts have received an increasing attention. Existing univariate and multivariate control charts are single hypothesis testing approach about process mean or variance by using a single statistic plotted. This paper proposes multiple hypothesis approach to developing a new multivariate control scheme. Plotted Hotelling’s T2 statistics are used for computing the corresponding p-values and the procedure for controlling false discovery rate in multiple hypothesis testing is applied to the proposed control scheme. Some numerical simulations were carried out to compare performance of the proposed control scheme with the usual multivariate shewhart chart in terms of Average Run Length.
Multivariate Process Control Chart for Controlling the False Discovery Rate
박장호,전치혁 대한산업공학회 2012 Industrial Engineeering & Management Systems Vol.11 No.4
With the development of computer storage and the rapidly growing ability to process large amounts of data, the multivariate control charts have received an increasing attention. The existing univariate and multivariate control charts are a single hypothesis testing approach to process mean or variance by using a single statistic plot. This paper proposes a multiple hypothesis approach to developing a new multivariate control scheme. Plotted Hotelling’s T2 statistics are used for computing the corresponding p-values and the procedure for controlling the false discovery rate in multiple hypothesis testing is applied to the proposed control scheme. Some numerical simulations were carried out to compare the performance of the proposed control scheme with the ordinary multivariate Shewhart chart in terms of the average run length. The results show that the proposed control scheme outperforms the existing multivariate Shewhart chart for all mean shifts
박장호,신영석,안예준,이광균 한국안전학회 2009 한국안전학회지 Vol.24 No.6
This study presents an algorithm to select the best alternative plane among various bridge superstructure types(Steel box girder, Rational girder, PSC-I girder) using Value Engineering(VE). Economical efficiency, landscape, constructability, maintenance, stability, function of bridge superstructure were taken into consideration in the designing of bridge. Economical efficiency was evaluated for each alternative plan with optimal design considering Life Cycle Cost(LCC). Repair and rehabilitation histories and some factors were set to get reasonable results. In the application of Analytic Hierarchy Process(AHP), consistency of Pairwise Comparisons Matrix was evaluated and the best plan was determined.
박장호,추프랑솨,조정래 대한토목학회 2013 KSCE JOURNAL OF CIVIL ENGINEERING Vol.17 No.4
Even if numerous studies were dedicated to propose soil-structure interaction analysis methods, most of these methods introduce several assumptions to circumvent the difficulties encountered in modeling and reduce computational efforts. The complex spatial configuration of the soil-foundation interface or the distribution of the soil medium are often simplified using flat-layered soil profiles and, the nonlinearity of the soil medium is generally dealt through an equivalent linear model. However, real soil profiles are featured by complex shapes, inclusion of discontinuities and nonlinear characteristics of soil. Accordingly, this paper presents a soil-structure interaction analysis method considering the characteristics of the structure, soil-structure interface and complex nonlinear distribution of the soil that could not be accurately modeled in previous methods. The proposed method adopts unaligned mesh generation and nonlinear modeling approach to model complex soil profiles. The validity and applicability of the nonlinear soil-structure interaction analysis method are verified through a numerical example.