Loading...
Search for: automatic-algorithms
0.005 seconds

    Lattice Boltzmann method on quadtree grids for simulating fluid flow through porous media: A new automatic algorithm

    , Article Physica A: Statistical Mechanics and its Applications ; Vol. 392, issue. 20 , May , 2013 , p. 4772-4786 ; ISSN: 03784371 Foroughi, S ; Jamshidi, S ; Masihi, M ; Sharif University of Technology
    Abstract
    During the past two decades, the lattice Boltzmann (LB) method has been introduced as a class of computational fluid dynamic methods for fluid flow simulations. In this method, instead of solving the Navier Stocks equation, the Boltzmann equation is solved to simulate the flow of a fluid. This method was originally developed based on uniform grids. However, in order to model complex geometries such as porous media, it can be very slow in comparison with other techniques such as finite differences and finite elements. To eliminate this limitation, a number of studies have aimed to formulate the lattice Boltzmann on the unstructured grids. This paper deals with simulating fluid flow through a... 

    Feature-based data stream clustering

    , Article Proceedings of the 2009 8th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009, 1 June 2009 through 3 June 2009, Shanghai ; 2009 , Pages 363-368 ; 9780769536415 (ISBN) Jafari Asbagh, M ; Abolhassani, H ; IEEE Computer Society; International Association for; Computer and Information Science, ACIS ; Sharif University of Technology
    2009
    Abstract
    Data stream clustering has attracted a huge attention in recent years. Many one-pass and evolving algorithms have been developed in this field but feature selection and its influence on clustering solution has not been addressed by these algorithms. In this paper we explain a feature-based clustering method for streaming data. Our method establishes a ranking between features based on their appropriateness in terms of clustering compactness and separateness. Then, it uses an automatic algorithm to identify unimportant features and remove them from feature set. These two steps take place continuously during lifetime of clustering task. © 2009 IEEE  

    Lattice Boltzmann method on quadtree grids for simulating fluid flow through porous media: A new automatic algorithm

    , Article Physica A: Statistical Mechanics and its Applications ; Volume 392, Issue 20 , 2013 , Pages 4772-4786 ; 03784371 (ISSN) Foroughi, S ; Jamshidi, S ; Masihi, M ; Sharif University of Technology
    2013
    Abstract
    During the past two decades, the lattice Boltzmann (LB) method has been introduced as a class of computational fluid dynamic methods for fluid flow simulations. In this method, instead of solving the Navier Stocks equation, the Boltzmann equation is solved to simulate the flow of a fluid. This method was originally developed based on uniform grids. However, in order to model complex geometries such as porous media, it can be very slow in comparison with other techniques such as finite differences and finite elements. To eliminate this limitation, a number of studies have aimed to formulate the lattice Boltzmann on the unstructured grids. This paper deals with simulating fluid flow through a...