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    Image Processing in Paintings Using Multispectral Imaging

    , M.Sc. Thesis Sharif University of Technology Kamani, Mohammad Mahdi (Author) ; Marvasti, Farrokh (Supervisor) ; Amini, Arash (Co-Advisor)
    Abstract
    Considering the tremendous development in imaging systems’ industry, today we can afford to have imaging equipment, capable of taking multispectral images in very high resolution. One of the remarkable benefits of this technology is in the realm of arts and particularly in museums. Taking advantage of the potentials of multispectral, highquality imaging, curators will be able to probe their priceless works of art ( e.g. paintings ) without putting them in danger through invasive research. Besides, one can investigate and control the transformation of these works through time by using this new imaging method. Recently, Multispectral Imaging of paintings, in different frequency bands from... 

    Pore Scale Modeling of Fluid-Fluid Intercations During Low Salinity Waterflooding

    , M.Sc. Thesis Sharif University of Technology Kamani, Ahmadreza (Author) ; Ayatollahi, Shahab (Supervisor) ; Mahani, Hassan (Supervisor)
    Abstract

    Recent studies have shown that the injection of low-salinity water would enhance the oil recovery factor for both the core scale and the field test. The evidence obtained from laboratory studies showed that the control of salinity and the composition of injected water has successfully affected the oil release, hence enhancing the oil recovery efficiency. In this method, by changing the type and amount of dissolved ions in the injected water, the water/oil/rock interactions are altered. Based on this, extensive studies have been focused on the mechanisms for the trapped oil release at the pore scale. Several mechanisms have been proposed to explain this phenomenon, which can be divided... 

    Erratum to: simultaneous biological organic matter and nutrient removal in an anaerobic/anoxic/oxic (A2O) moving bed biofilm reactor (MBBR) integrated system

    , Article International Journal of Environmental Science and Technology ; Volume 14, Issue 5 , 2017 , Pages 1155- ; 17351472 (ISSN) Jaafari, J ; Seyedsalehi, M ; Safari, G. H ; Ebrahim Arjestan, M ; Barzanouni, H ; Ghadimi, S ; Kamani, H ; Haratipour, P ; Sharif University of Technology
    Center for Environmental and Energy Research and Studies  2017
    Abstract
    The affiliations in the original article contain errors. The correct affiliations are given below. © 2016, Islamic Azad University (IAU)  

    Simultaneous biological organic matter and nutrient removal in an anaerobic/anoxic/oxic (A2O) moving bed biofilm reactor (MBBR) integrated system

    , Article International Journal of Environmental Science and Technology ; Volume 14, Issue 2 , 2017 , Pages 291-304 ; 17351472 (ISSN) Jaafari, J ; Seyedsalehi, M ; Safari, G. H ; Ebrahimi Arjestan, M ; Barzanouni, H ; Ghadimi, S ; Kamani, H ; Haratipour, P ; Sharif University of Technology
    Center for Environmental and Energy Research and Studies  2017
    Abstract
    In the present study, the performance of three moving bed biofilm reactors (MBBRs) has been evaluated in series with anaerobic/anoxic/oxic (A2O) units for simultaneous removal of organic matter and nutrients (nitrogen and phosphorous) from a synthetic wastewater with characteristics similar to those of a typical municipal wastewater. Response surface methodology based on central composite design was used to investigate the effects of nitrate recycle ratio, hydraulic retention time (HRT), and influent chemical oxygen demand (COD) on the organic and nutrient removal and optimization process. The optimized values of influent COD, HRT, and R were 462 mg/L, 10 h, and 3.52, respectively. The... 

    RobustQA: A framework for adversarial text generation analysis on question answering systems

    , Article EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings of the System Demonstrations ; 2023 , Pages 274-285 Boreshban, Y ; Mirbostani, S. M ; Ahmadi, S. F ; Shojaee, G ; Kamani, F ; Ghassem-Sani, G ; Mirroshandel, S. A ; Feng Y ; Lefever E ; Sharif University of Technology
    Association for Computational Linguistics (ACL)  2023
    Abstract
    Question answering (QA) systems have reached human-level accuracy; however, these systems are not robust enough and are vulnerable to adversarial examples. Recently, adversarial attacks have been widely investigated in text classification. However, there have been few research efforts on this topic in QA. In this article, we have modified the attack algorithms widely used in text classification to fit those algorithms for QA systems. We have evaluated the impact of various attack methods on QA systems at character, word, and sentence levels. Furthermore, we have developed a new framework, named RobustQA, as the first open-source toolkit for investigating textual adversarial attacks in QA...