Loading...
Search for: oliaee--ashkan
0.035 seconds

    Magnetic Resonance Imaging by Compressed Sensing

    , M.Sc. Thesis Sharif University of Technology Oliaee, Ashkan (Author) ; Fatemi-Zadeh, Emadodden (Supervisor)
    Abstract
    Magnetic Resonance Imaging (MRI) is a non-invasive imaging modality which can represents the structure, metabolism and the function of inner tissues and organs. Unlike other imaging modalities MRI does not use ionizing radiation.Reducing the imaging time will result in cost reduction and patient comfort. Therefore since the invention of MRI, increasing the speed of imaging has drawn a lot of attention. This was mainly done by improving and upgrading the data collecting hardware of the imaging module.With the advances in technology, a point has been nearly reached, that due to the physical and physiological constraints, such as nerve stimulation, quickening the hardware is impractical.... 

    Sustainable-Resilient Supplier Selection Through Fuzzy Multi-Criteria Decision Making Approaches

    , M.Sc. Thesis Sharif University of Technology Varchandi, Sahar (Author) ; Akbari Jokar, Mohammad Resa (Supervisor) ; Memari, Ashkan (Co-Supervisor)
    Abstract
    Today, with the expansion of business relations at international levels, there are many organizations that operate in global supply chains. Activities at such levels face new types of challenges in various fields of "supply chain management" pillars, of which "supplier selection" is one of them. The possibility of unexpected events, the need to comply with environmental protection laws, as well as the need to take into account social considerations, are among the things that have increased by being in larger supply chains, making it challenging to provide the basic resources needed in such chains and forcing their managers to considering considerations other than what they have always... 

    On the security of O-PSI a delegated private set intersection on outsourced datasets

    , Article 2017 14th International ISC (Iranian Society of Cryptology) Conference on Information Security and Cryptology, ISCISC 2017 ; 2018 , Pages 77-81 ; 9781538665602 (ISBN) Mahdavi Oliaee, M ; Delavar, M ; Ameri, M. H ; Mohajeri, J ; Aref, M. R ; Sharif University of Technology
    2018
    Abstract
    In recent years, determining the common information privately and efficiently between two mutually mistrusting parties have become an important issue in social networks. Many Private set intersection (PSI) protocols have been introduced to address this issue. By applying these protocols, two parties can compute the intersection between their sets without disclosing any information about components that are not in the intersection. Due to the broad range of computational resources that the cloud can provide for its users, determining the set intersection by cloud may decrease the computational cost of the users. The proposed protocol by Abadi et al. is one of the introduced protocols in this...