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    Innovative performance of Iranian knowledge-based firms: Large firms or SMEs?

    , Article Technological Forecasting and Social Change ; May , 2016 ; 00401625 (ISSN) Noori, J ; Bagheri Nasrabadi, M ; Yazdi, N ; Babakhan, A. R ; Sharif University of Technology
    Elsevier Inc  2016
    Abstract
    The debate over innovativeness of large firms and SMEs, which was bolded by Schumpeter, still continues under mixed empirical evidences. There are several implications for this debate including policy orientation in support of large firms or SMEs. But there is a scarce of studies in developing countries and no such study in Iran yet. The present study has explored the proportionality of increase of innovation activity versus firm size within 522 Iranian knowledge-based firms categorized in 9 industries. Innovation activity was measured by R&D expenditure while firm size stood for number of employees. Using log-log regression in the first phase, it was found that R&D expenditure confirms a... 

    Innovative performance of iranian knowledge-based firms: large firms or SMEs?

    , Article Technological Forecasting and Social Change ; Volume 122 , 2017 , Pages 179-185 ; 00401625 (ISSN) Noori, J ; Bagheri Nasrabadi, M ; Yazdi, N ; Babakhan, A. R ; Sharif University of Technology
    Abstract
    The debate over innovativeness of large firms and SMEs, which was bolded by Schumpeter, still continues under mixed empirical evidences. There are several implications for this debate including policy orientation in support of large firms or SMEs. But there is a scarce of studies in developing countries and no such study in Iran yet. The present study has explored the proportionality of increase of innovation activity versus firm size within 522 Iranian knowledge-based firms categorized in 9 industries. Innovation activity was measured by R&D expenditure while firm size stood for number of employees. Using log–log regression in the first phase, it was found that R&D expenditure confirms a... 

    Energy loss estimation in distribution networks using stochastic simulation

    , Article IEEE Power and Energy Society General Meeting, 26 July 2015 through 30 July 2015 ; Volume 2015-September , 2015 ; 19449925 (ISSN) ; 9781467380409 (ISBN) Mahmoodzadeh, Z ; Ghanbari, N ; Mehrizi Sani, A ; Ehsan, M ; Sharif University of Technology
    IEEE Computer Society  2015
    Abstract
    This paper presents an improved stochastic simulation method for calculating current dependent energy losses in distribution networks. The method is based on power load curves and integrates the stochastic nature of the load curves with power and voltage covariance matrices. The method reduces calculation effort using the factor analysis of covariance matrices and provides a few quantities needed to calculate energy losses. The method has no limitation for network configuration and gives accurate results several times faster than other existing methods. Therefore, it is appropriate for considering losses in optimization and decision making purposes in operating and planning of distribution...