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    题名 作者 年代 出处 被引量
1Modeling and simulation of matrix converter/induction motor driver显示文摘Takayoshi Matsuo Steffen Bernet Stephen R Colby 1998Mathematics and Computers in Simulation1998,46,:2
2Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates显示文摘I.M Sobol′ 2001Mathematics and Computers in Simulation2001,,1:2
3Pareto-optimality approach for flexible job-shop scheduling problems: hybridization of evolutionary algorithms and fuzzy logic显示文摘Imed Kacem Slim Hammadi Pierre Borne 2002Mathematics and Computers in Simulation2002,,3:2
4VISUALIZATION OF TURBULENT REACTIVE JET BY USING DIRECT NUMERICAL SIMULATION显示文摘Direct numerical simulation(DNS)of turbulent planar jet with a second-order chemical reaction(A+B→R)is performed to investigate the processes of mixing and chemical reactions in spatially developing turbulent free shear flows.Reactant A is premixed into the jet flow,and reactant B is premixed into the ambient flow.DNS is performed at three different Damk¨ohler numbers(Da=0.1,1,and 10).Damk¨ohler number is a ratio of a time scale of a flow to that of chemical reactions,and in this study,the large Da means a fast chemical reaction,and the small Da means a slow chemical reaction.The visualization of velocity field shows that the jet flow is developed by entraining the ambient fluid.The visualization of concentration of reactant A shows that concentration of reactant A for Da=1 and 10 becomes very small in the downstream region because the chemical reaction consumes the reactants and reactant A is diffused with the jet development.By comparison of the profiles of chemical reaction rate and concentration of product R,it is found that product R for Da=10 is produced by the chemical reaction at the interface between the jet and the ambient fluids and is diffused into the jet flow,whereas product R for Da=0.1 is produced in the jet flow after reactants A and B are well mixed.TOMOAKI WATANABE YASUHIKO SAKAI KOUJI NAGATA OSAMU TERASHIMA HIROKI SUZUKI TOSHIYUKI HAYASE YASUMASA ITO 2013International Journal of Modeling, Simulation, and Scientific Computing2013,4,S01:2
5Face Recognition using Mixture-Distance and Raw Images 显示文摘Steve Lawrence Peter Yianilos Ingemar Cox 1997IEEE International Conference on Computational Cybernetics and Simulation1997,3,:2
6Modeling and simulation of a hydrostatic transmission with variable-displacement pump显示文摘Andreas Kugi Kurt Schlacher Heinz Aitzetmüller 2000Mathematics and Computers in Simulation2000,53,:2
7Image encryption based on chaotic maps 显示文摘Fridrich J 1997Sys Man Cybem Comput Cybern Simul1997,2,1:2
8An adaptive exponentially weighted moving average control chart for monitoring process variances显示文摘Lianjie Shu 2007Journal of Statistical Computation and Simulation2007,,4:2
9Clock Synchronization Algorithm for Parallel Road-traffic Simulation System in a Wide Area显示文摘Mitsuhiro Namekawa Akira Satoh Hideki Mori 1999Mathematics and Computers in Simulation1999,,:2
10Developments and applications of the self-organizing map and related algorithms显示文摘Kangas J Kohonen T 1996Mathematics and Computers in Simulation1996,41,:2
11Unsupervised method of clustering and labeling of the online product based on reviews显示文摘This paper presents an unsupervised approach to cluster reviews of products collected from Amazon and then generates its labels of each cluster.Instead of using a complete review,this paper splits a review into sentences and considers all sentences from the reviews as inputs for Clustering.Hierarchical Agglomerative Clustering(HAC)is used to cluster sentences.The approaches of cluster labeling are also unsupervised.For labeling,three different methods have been used to find a limited number of essential words for each cluster.Extracted essential words are used to construct phrases.Constructed phrases are used as labels for each cluster.This paper compares the result of the labeling method with baseline labeling.In the result evaluation,all the labeling methods outperform the baseline method.The aim of this research is cluster labeling that makes a set of labels to describe a cluster content and distinguishes the labels from other cluster labels.Md Masum Billah Mohammad Nuruzzaman Bhuiyan Md.Akterujjaman 2021International Journal of Modeling, Simulation, and Scientific Computing2021,12,2:2
12Simulation and fault detection of three-phase induction motors显示文摘LIANG B PAYNE B S BALL A D 2001Mathematics and Computers in Simulation2001,61,:2
13Fuzzy logic approach to multisensor data association显示文摘Chen Y M Huang H C 2000Mathematics and Computers in Simulation2000,52,:1
14A comparison of partial solutions in the decomposition method for linear and nonlinear partial differential equations显示文摘Kaya D Yokus A 2002Math Comput Simul2002,60,6:1
15Self-synchronization and controlled synchronization: general definition and example design 显示文摘BLEKHMAN I I FRADKOV A L TOMCHINA O P 2002Mathematics and Computers in Simulation2002,58,:1
16Global robust stability of interval neural networks with multiple time-varying delays 显示文摘SONG Qiankun CAO Jinde 2007Mathe- matics and Computers in Simulation2007,74,:1
17Recursive learning in re al time using fuzzy pattern matching显示文摘Mouchaweh M S 2002Mathematics and Computers in Simulation2002,60,:1
18Multiscale detection and location of multiple variance changes in the presence of long memory显示文摘Whitcher B J Guttorp P 2000Journal of Statistical Computation and Simulation2000,68,1:1
19Solution of differential equations via rationalized Haar functions显示文摘RAZZAGHI M ORDOKHANI Y 2001Mathematics and Computers in Simulation2001,56,3:1
20Comparison of Cartesian vector control and polar vector control for induction motor drives显示文摘Bouscaurol A Pietrzak M de Fornel B 1998Mathematics and Computers in Simulation1998,46,:1
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