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    (t,k)-Hypergraph anonymization: An approach for secure data publishing

    , Article Security and Communication Networks ; Volume 8, Issue 7 , September , 2015 , Pages 1306-1317 ; 19390114 (ISSN) Asayesh, A ; Hadavi, M. A ; Jalili, R ; Sharif University of Technology
    John Wiley and Sons Inc  2015
    Abstract
    Privacy preservation is an important issue in data publishing. Existing approaches on privacy-preserving data publishing rely on tabular anonymization techniques such as k-anonymity, which do not provide appropriate results for aggregate queries. The solutions based on graph anonymization have also been proposed for relational data to hide only bipartite relations. In this paper, we propose an approach for anonymizing multirelation constraints (ternary or more) with (t,k) hypergraph anonymization in data publishing. To this end, we model constraints as undirected hypergraphs and formally cluster attribute relations as hyperedge with the t-means-clustering algorithm. In addition,... 

    Bi-objective location problem with balanced allocation of customers and Bernoulli demands: two solution approaches

    , Article Soft Computing ; Volume 23, Issue 13 , 2018 , Pages 1-20 ; 14327643 (ISSN) Shiripour, S ; Mahdavi-Amiri, N ; Sharif University of Technology
    Springer Verlag  2018
    Abstract
    A bi-objective stochastic capacitated multi-facility location–allocation problem is presented where the customer demands have Bernoulli distributions. The capacity of a facility for accepting customers is limited so that if the number of allocated customers to the facility is more than its capacity, a shortage will occur. The problem is formulated as a bi-objective mathematical programming model. The first objective is to find optimal locations of facilities among potential locations and optimal allocations of stochastic customers to the facilities so that the total sum of fixed costs of establishment of the facilities and the expected values of servicing and shortage costs is minimized. The... 

    Bi-objective location problem with balanced allocation of customers and Bernoulli demands: two solution approaches

    , Article Soft Computing ; Volume 23, Issue 13 , 2019 , Pages 4999-5018 ; 14327643 (ISSN) Shiripour, S ; Mahdavi Amiri, N ; Sharif University of Technology
    Springer  2019
    Abstract
    A bi-objective stochastic capacitated multi-facility location–allocation problem is presented where the customer demands have Bernoulli distributions. The capacity of a facility for accepting customers is limited so that if the number of allocated customers to the facility is more than its capacity, a shortage will occur. The problem is formulated as a bi-objective mathematical programming model. The first objective is to find optimal locations of facilities among potential locations and optimal allocations of stochastic customers to the facilities so that the total sum of fixed costs of establishment of the facilities and the expected values of servicing and shortage costs is minimized. The... 

    Predicting fracture of solder joints with different constraint factors

    , Article Fatigue and Fracture of Engineering Materials and Structures ; 2018 ; 8756758X (ISSN) Nourani, A ; Mirmehdi, S ; Farrahi, G. H ; Soroush, F ; Sharif University of Technology
    Blackwell Publishing Ltd  2018
    Abstract
    Double cantilever beam (DCB) specimens of 2.5-mm-long SAC305 solder joints were prepared with thickness of copper adherends varying from 8 to 21 mm each. The specimens were tested under mode I loading conditions (ie, pure opening mode with no shear component of loading) with a strain rate of 0.03 second−1. The measured fracture load was used to calculate the critical strain energy release rate for crack initiation, Jci, in each case. Fracture behaviour showed a significant dependence on the adherend thickness; the Jci and plastic deformation of the solder at crack initiation decreased significantly with increase in adherend thickness. This behaviour was attributed to changes in stress... 

    Fuzzy based generation scheduling of power system with large scale wind farms

    , Article 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future ; 2009 ; 9781424422357 (ISBN) Siahkali, H ; Vakilian, M ; Sharif University of Technology
    Abstract
    Wind power introduces a new challenge to system operators. Unlike conventional power generation sources, wind power generators supply intermittent power because of uncertainty in its resource. In a power system involved largescale wind power generation scenario, wind intermittency could oblige the system operator to allocate a greater reserve power, in order to compensate the possible mismatch between predicted and the actual wind power output. This would increase the total operation cost. This paper presents a new approach in fuzzy based generation scheduling (GS) problem using mixed integer nonlinear programming (MINLP). While the reserve requirements, load generation balance and wind...