0000000000218862

AUTHOR

Fuxi Shi

showing 3 related works from this author

Missing Value Estimation for Microarray Data by Bayesian Principal Component Analysis and Iterative Local Least Squares

2013

Published version of an article from the journal: Mathematical Problems in Engineering. Also available from Hindawi: http://dx.doi.org/10.1155/2013/162938 Missing values are prevalent in microarray data, they course negative influence on downstream microarray analyses, and thus they should be estimated from known values. We propose a BPCA-iLLS method, which is an integration of two commonly used missing value estimation methods-Bayesian principal component analysis (BPCA) and local least squares (LLS). The inferior row-average procedure in LLS is replaced with BPCA, and the least squares method is put into an iterative framework. Comparative result shows that the proposed method has obtaine…

EstimationVDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Article SubjectComputer sciencelcsh:MathematicsGeneral MathematicsGeneral EngineeringValue (computer science)lcsh:QA1-939Non-linear iterative partial least squarescomputer.software_genreLeast squaresBayesian principal component analysislcsh:TA1-2040Data mininglcsh:Engineering (General). Civil engineering (General)computerMathematical Problems in Engineering
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Macroscopic expressions of molecular adiabatic compressibility of methyl and ethyl caprate under high pressure and high temperature

2014

The molecular compressibility, which is a macroscopic quantity to reveal the microcompressibility by additivity of molecular constitutions, is considered as a fixed value for specific organic liquids. In this study, we introduced two calculated expressions of molecular adiabatic compressibility to demonstrate its pressure and temperature dependency. The first one was developed from Wada’s constant expression based on experimental data of density and sound velocity. Secondly, by introducing the 2D fitting expressions and their partial derivative of pressure and temperature, molecular compressibility dependency was analyzed further, and a 3D fitting expression was obtained from the calculated…

Article SubjectApplied Mathematicslcsh:MathematicsThermodynamicsFunction (mathematics)Analysis; Applied Mathematicslcsh:QA1-939VDP::Mathematics and natural science: 400::Physics: 430::Atomic physics molecular physics: 433Consistency (statistics)Additive functionRange (statistics)CompressibilityPartial derivativeCompressibility factorConstant (mathematics)AnalysisMathematics
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Optimization of Biodiesel Injection Parameters Based on Support Vector Machine

2013

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from Hindawi: http://dx.doi.org/10.1155/2013/893084. Open Access For the running diesel engine, spray-atomization, mixed-combustion, and thermal-power conversion processes are inseparable, which causes difficulty to investigate atomization effect separately. This study was conducted to improve the atomization efficiency of the soybean fatty acid methyl ester (SFAME) in engine, to achieve the minimum effective specific fuel consumption in specific engine working conditions, the different injection parameters combination were explored on the influence of effective specific fuel consumption at …

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413EngineeringBiodieselArticle Subjectbusiness.industryGeneral Mathematicslcsh:MathematicsVDP::Technology: 500::Mechanical engineering: 570General EngineeringMechanical engineeringDiesel enginelcsh:QA1-939Support vector machinechemistry.chemical_compoundchemistrylcsh:TA1-2040Thrust specific fuel consumptionProcess engineeringbusinesslcsh:Engineering (General). Civil engineering (General)Fatty acid methyl esterMathematical Problems in Engineering
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