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    Coke deposition mechanism on the pores of a commercial Pt-Re/γ- Al2O3 naphtha reforming catalyst

    , Article Fuel Processing Technology ; Volume 91, Issue 7 , 2010 , Pages 714-722 ; 03783820 (ISSN) Baghalha, M ; Mohammadi, M ; Ghorbanpour, A ; Sharif University of Technology
    2010
    Abstract
    Coke deposition mechanism on a commercial Pt-Re/γ-Al 2O3 naphtha reforming catalyst was studied. A used catalyst that was in industrial reforming operation for 28 months, as well as the fresh catalyst of the unit were characterized using XRD, XRF, and nitrogen adsorption/desorption analyses. Carbon and sulfur contents of the fresh and the used catalysts were determined using Leco combustion analyzer. The pore size distributions (PSD) of the fresh and the used reforming catalysts were determined using BJH and Comparison Plot methods. The Comparison Plot method produced the most reasonable PSDs for the catalysts. Through comparison of the PSDs of the fresh and the used catalysts, it was... 

    Study of the Effect of Electroplated Nanocrystalline Nickel Grain Size on Corrosion Resistance

    , M.Sc. Thesis Sharif University of Technology Ghorbanpour, Arian (Author) ; Baghalha, Morteza (Supervisor) ; Kazemeini, Mohammad (Supervisor)
    Abstract
    In this project, nonocrystalline nickel coatings with grain sizes within the range of 9-27 nanometers were produced on yellow-brass plates by electroplating in a modified Watts bath applying current densities from 2 to 6 A/dm2 and bath stirring speeds from 0 to 400 rpm. To determine crystallite size, X-ray diffraction technique (XRD) was utilized; it was observed that grain size declined continuously with increase in current density and then in bath stirring speed. The experimental results coming from XRD tests were compared with a theoretical model in order to verify their reliability; the obtained curve indicated a good correspondence between the experimental data and the theoretical... 

    Comparison and assessment of spatial downscaling methods for enhancing the accuracy of satellite-based precipitation over Lake Urmia Basin

    , Article Journal of Hydrology ; Volume 596 , 2021 ; 00221694 (ISSN) Karbalaye Ghorbanpour, A ; Hessels, T ; Moghim, S ; Afshar, A ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Estimating precipitation at high spatial-temporal resolution is vital in manifold hydrological, meteorological and water management applications, especially over areas with un-gauged networks and regions where water resources are on the wane. This study aims to evaluate five downscaling methods to determine the accuracy and efficiency of which on generating high-resolution precipitation data at annual and monthly scales. To establish precipitation-Land surface characteristics relationship, environmental factors, including Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST) and Digital Elevation Model (DEM), were considered as proxies in the spatial downscaling... 

    Data quality improvement using fuzzy association rules

    , Article ICEIE 2010 - 2010 International Conference on Electronics and Information Engineering, Proceedings, 1 August 2010 through 3 August 2010 ; Volume 1 , August , 2010 , Pages V1468-V1472 ; 9781424476800 (ISBN) Ghorbanpour Alizamini, F ; Pedram, M. M ; Alishahi, M ; Badie, K ; Sharif University of Technology
    2010
    Abstract
    The activities and decisions of organizations and companies are based on data and the information obtained from data analysis. Data quality plays a crucial role in data analysis, because the incorrect data leads to wrong decisions. Nowadays, improving the data quality manually is very difficult and in many cases is impossible as data quality is one of the complicated and non-structured concepts and data refinement process can not be done without the help of professional domain experts, and detection and correction of errors require a thorough knowledge in the related domain of the data. Thus, the necessity of using (semi-)automatic methods is discussed to find data defects and errors and... 

    Online Detection Of Multi-Modal Fake News

    , M.Sc. Thesis Sharif University of Technology Ghorbanpour, Faeze (Author) ; Rabiee, Hamid Reza (Supervisor) ; Fazli, Mohammad Amin (Supervisor)
    Abstract
    Today, social networks have provided an environment for disseminating all kinds of information and news among the people. One of the challenges of ex-panding social networks is reading and trusting fake news propagating against accurate information. Fake news is false information that the author intention-ally produces and publishes. Due to the destructive effects of spreading fake news, determining the trustworthiness of news is one of the critical issues in the so-cial, political, and economic fields. In this research, we worked on detecting fake news on social media using multimodal data. To solve the problem of fake news detection, we used the text and images of the information. Transfer... 

    Magnetic field-induced control of a compound ferrofluid droplet deformation and breakup in shear flow using a hybrid lattice Boltzmann-finite difference method

    , Article International Journal of Multiphase Flow ; Volume 146 , 2022 ; 03019322 (ISSN) Majidi, M ; Bijarchi, M. A ; Ghorbanpour Arani, A ; Rahimian, M. H ; Shafii, M. B ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    The deformation and breakup dynamics of a compound ferrofluid droplet under shear flow and uniform magnetic field are numerically studied in this paper. Utilizing magnetic field provides the possibility to obtain better control over the compound droplet morphology and breakup in a simple shear flow. To solve the governing equations for interfaces motion and hydrodynamics, the conservative phase field lattice Boltzmann model is employed, and a finite difference approach is applied for calculating the magnetic field. To verify the accuracy of present simulations, the results are validated with those of four relevant benchmarks including liquid lens between two stratified fluids, three-phase... 

    Effects of upper extremity coordination exercises based on fatigue prediction on upper extremity sensory-motor functions in chronic stroke survivors

    , Article Iranian Rehabilitation Journal ; Volume 20, Issue 1 , 2022 , Pages 17-28 ; 17353602 (ISSN) Fathi, S ; Taghizadeh, G ; Azad, A ; Behzadipour, S ; Hafshejani, D. S ; Zare, A ; Ghorbanpour, Z ; Sharif University of Technology
    University of Social Welfare and Rehabilitation Sciences  2022
    Abstract
    Objectives: This study aimed to investigate the effect of upper extremity coordination exercises based on fatigue prediction on fine and gross manual dexterity, upper limb motor function, shoulder and elbow proprioception, occupational performance, and activities of daily living in chronic stroke survivors. Methods: In this pilot double-blind randomized clinical trial, 24 chronic strokes were enrolled using the non-probability sampling method. Participants were randomly allocated to the control (received routine occupational therapy) and intervention (received upper extremity coordination exercises based on fatigue prediction using the Kinect) groups. Before and after the interventions (six...