Loading...
Search for: salehi--n
0.007 seconds

    An outer approximation method for an integration of supply chain network designing and assembly line balancing under uncertainty

    , Article Computers and Industrial Engineering ; Volume 83 , 2015 , Pages 297-306 ; 03608352 (ISSN) Yolmeh, A ; Salehi, N ; Sharif University of Technology
    Elsevier Ltd  2015
    Abstract
    In this paper a new model is proposed for the integrated problem of supply chain network designing and assembly line balancing under demand uncertainty. In this problem there are three types of entities: manufacturers, assemblers and customers. Manufacturers provide assemblers with components and assemblers use these components to produce the final products and satisfy the demand of the customers. This problem involves determining the location of manufacturers and assemblers in the network, balancing the assembly lines, and transportation of materials and products throughout the network. A mixed integer nonlinear programming formulation based on two stage stochastic programming method is... 

    Fuzzy regularized linear discriminant analysis for face recognition

    , Article Proceedings of SPIE - The International Society for Optical Engineering, 9 December 2011 through 10 December 2011 ; Volume 8349 , December , 2012 ; 0277786X (ISSN) ; 9780819490254 (ISBN) Aghaei Taghlidabad, M ; Baseri Salehi, N ; Kasaei, S ; Sharif University of Technology
    Abstract
    A new face recognition method is proposed in this paper. The proposed method is based on fuzzy regularized linear discriminant analysis (FR-LDA) and combines the regularized linear discriminant analysis (R-LDA) and the fuzzy set theory. R-LDA is based on a new regularized Fisher's discriminant criterion, which is particularly robust against the small sample size problem compared to the traditional one used in LDA. In the proposed method, we calculate the membership degree matrix by Fuzzy K-nearest neighbor (FKNN) and then incorporate the membership degree into the definition of the between-class and within-class scatter matrices and get the fuzzy between-class and within-class scatter... 

    EEG-based functional brain networks: does the network size matter?

    , Article PloS one ; Volume 7, Issue 4 , 2012 ; 19326203 (ISSN) Joudaki, A ; Salehi, N ; Jalili, M ; Knyazeva, M. G ; Sharif University of Technology
    PLOS  2012
    Abstract
    Functional connectivity in human brain can be represented as a network using electroencephalography (EEG) signals. These networks--whose nodes can vary from tens to hundreds--are characterized by neurobiologically meaningful graph theory metrics. This study investigates the degree to which various graph metrics depend upon the network size. To this end, EEGs from 32 normal subjects were recorded and functional networks of three different sizes were extracted. A state-space based method was used to calculate cross-correlation matrices between different brain regions. These correlation matrices were used to construct binary adjacency connectomes, which were assessed with regards to a number of... 

    A vision based law enforcement system

    , Article Proceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009, 13 July 2009 through 16 July 2009, Las Vegas, NV ; Volume 1 , 2009 , Pages 66-71 ; 9781601321190 (ISBN) Tohidi, A. H ; Mustafa, B. A ; Sojoodi, C. A ; Amin, D. M. K ; Ostadi, E. A ; Khaledi, F. H ; Rahimi, G. M ; Noghani, H. M. T ; Poursaberi, I. A ; Salem, J. S ; Razizade, K. H ; Salem, L. S ; Asgari, M. M ; Salehi, N. M ; Sharif University of Technology
    Abstract
    Systems based on machine vision are used more and more these days. Machine vision is used widely in different industries for increasing efficiency and automating processes, and one of the reasons which makes these techniques so popular is the speed of producing more powerful hardware which in recent times became more accessible, so real time using of many algorithms is possible Our group is designing and producing a stereo vision based system for detection, tracking, and accurate speed measurement of multi vehicles in, both mobile and stationary status, different weather condition, day and night, urban streets and highways, which is now used by police for law enforcement. The system offers...