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    Vibration suppression of offshore wind turbine foundations using tuned liquid column dampers and tuned mass dampers

    , Article Ocean Engineering ; Volume 172 , 2019 , Pages 286-295 ; 00298018 (ISSN) Hemmati, A ; Oterkus, E ; Khorasanchi, M ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    Highly dynamic nature of the applied loads on flexible and lightly damped offshore wind turbine (OWT) foundations affects the lifetime and serviceability of the system. In this study, the excessive vibration responses of OWTs are minimized using tuned mass dampers (TMD) and tuned liquid column dampers (TLCD). Due to high efficiency of TLCDs and TMDs for certain loading conditions, a combined TLCD-TMD is also utilized to improve the overall performance in a wide range of loading conditions. First, a parametric study was performed that highlights the sensitivity of these structural control devices. The effect of two devices on fixed offshore wind turbine foundations for the benchmark 5 MW NREL... 

    Development of Low-order Model/controllers for Oil Reservoir Smart Wells

    , M.Sc. Thesis Sharif University of Technology Hemmati, Sahar (Author) ; Pishvaie, Mahmoud Reza (Supervisor)
    Abstract
    Upstream oil industry operators have turned to optimal production methods for further recoveries, such as smart wells. Control algorithms for smart wells must be equipped with online measurements, in other words, reflected in the feedback philosophy. On the other hand, after discretization, an oil reservoir's dynamic and control-driven model becomes a realization or a large-scale and sparse state space. One way to deal with this problem and provide an appropriate model for the design of smart well controllers is to use appropriate reservoir dimensional reduction methods. Therefore, to design low-order controllers, a study must first be performed at the level of the reservoir model and its... 

    A framework to support run-time assured dynamic reconfiguration for pervasive computing environments

    , Article 2006 1st International Symposium on Wireless Pervasive Computing, Phuket, 16 January 2006 through 18 January 2006 ; Volume 2006 , 2006 , Pages 1-6 ; 0780394100 (ISBN); 9780780394100 (ISBN) Hemmati, H ; Niamanesh, M ; Jalili, R ; Sharif University of Technology
    2006
    Abstract
    With the increasing use of pervasive computing environments (PCEs), developing dynamic reconfigurable software in such environments becomes an important issue. The ability to change software components in running systems has advantages such as building adaptive, long-life, and self-reconfigurable software as well as increasing invisibility in PCEs. As dynamic reconfiguration is performed in error-prone wireless mobile systems frequently, it can threaten system safety. Therefore, a mechanism to support assured dynamic reconfiguration at run-time for PCEs is required. In this paper, we propose an Assured Dynamic Reconfiguration Framework (ADRF) with emphasis on assurance analysis. The... 

    Phosphomolybdic acid/chitosan as acid solid catalyst using for biodiesel production from pomegranate seed oil via microwave heating system: RSM optimization and kinetic study

    , Article Renewable Energy ; Volume 189 , 2022 , Pages 881-898 ; 09601481 (ISSN) Helmi, F ; Helmi, M ; Hemmati, A ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    In this research, a green solid catalyst of phosphomolybdic acid (HPA) prated on Chitosan was synthesized to produce biodiesel. The prepared catalyst was characterized using Fourier Transform Infrared spectroscopy (FTIR), Field Emission Scanning Electron Microscope (FESEM), Energy Dispersive X-Ray (EDX), X-ray diffraction (XRD), and XRF analyses. The catalyst was applied in microwave-assisted trans-esterification of Pomegranate oil, and the biodiesel production process was optimized by response surface methodology based on central composite design (RSM-CCD). The effect of influential reaction parameters, including time (33–142 min), catalyst weight (0.15–5.6 wt%), and methanol to oil molar... 

    Adversarial Robustness of Deep Learning Models in Brain Medical Images with a focus on Alzheimer's disease

    , M.Sc. Thesis Sharif University of Technology Hemmati, Mohammad (Author) ; Bagheri Shouraki, Saeed (Supervisor)
    Abstract
    In recent years, adversarial attacks have become a severe challenge in the field of security and stability of neural networks. These attacks in the field of medical images are able to cause misdiagnosis of the network, while hostile samples are considered normal from the perspective of a human observer. There are different ways to deal with these attacks. These methods mainly require full access to the neural network and knowledge of the type of hostile attack, as a result, the performance of these defense methods against unknown attacks drops drastically. In this research, we aim to find a method for identifying adversarial samples without knowing the architecture of the target neural... 

    Investigation and Characterization of the Optical Response of High-Tc Josephson junction

    , M.Sc. Thesis Sharif University of Technology Sharif Azadeh, Mohammad Saeed (Author) ; Fardmanesh, Mehdi (Supervisor)
    Abstract
    Josephson junctions are the basic elements of superconducting technology. They play the same role of p-n junctions in semiconductor technology. Here, we investigated on the optical responses of the fabricated Josephson junctions in order to gain high sensitive optical sensors. The emission has both thermal and non-thermal effect on the current-voltage characteristics of the junctions. While the bolometric effect is the result of slight changes in the bias temperature of device, the non-thermal effect is due to depairing of Cooper pairs and generation of quasi-particles, which is dominant in temperatures far below TC especially in the case the superconducting layer is optically thin. In this... 

    An adaptive neural network-fuzzy linear regression approach for improved car ownership estimation and forecasting in complex and uncertain environments: The case of Iran

    , Article Transportation Planning and Technology ; Volume 35, Issue 2 , 2012 , Pages 221-240 ; 03081060 (ISSN) Azadeh, A ; Neshat, N ; Rafiee, K ; Zohrevand, A. M ; Sharif University of Technology
    2012
    Abstract
    This paper applies a novel adaptive approach consisting of Artificial Neural Network (ANN) and Fuzzy Linear Regression (FLR) to improve car ownership forecasting in complex, ambiguous, and uncertain environments. This integrated approach is applied to forecast car ownership in Iran from 1930 to 2007. In this study, the level of car ownership is viewed as the result of demographic, politico-social, and urban structure factors including average family size, total population density, urban population density, urbanization rate, gross national product per capita, gasoline price, and total road length. To capture the potential complexity, uncertainty, and linearity relation between the car... 

    Solid products characterization in a multi-step mineralization process

    , Article Chemical Engineering Journal ; Vol. 252 , 2014 , Pages 210-219 ; ISSN: 13858947 Hemmati, A ; Shayegan, J ; Sharratt, P ; Yeo, T. Y ; Bu, J
    2014
    Abstract
    In this paper, we describe a carbon dioxide mineralization process and its associated solid products. These solid products include amorphous silica, iron hydroxides and magnesium carbonates. These products were subjected to various characterization tests, and the results are published here. It was found that the iron hydroxides from this process can have different crystalline properties, and their formation depended very much on the pH of the reaction conditions. Different forms of magnesium carbonate were also obtained, and the type of carbonate precipitated was found to be dependent on the carbonation temperature. Hydromagnesite was obtained mainly at low temperatures, while dypingite was... 

    A rigorous approach to predict nitrogen-crude oil minimum miscibility pressure of pure and nitrogen mixtures

    , Article Fluid Phase Equilibria ; Volume 399 , 2015 , Pages 30-39 ; 03783812 (ISSN) Fathinasab, M ; Ayatollahi, S ; Hemmati Sarapardeh, A ; Sharif University of Technology
    Elsevier  2015
    Abstract
    Nitrogen has been appeared as a competitive gas injection alternative for gas-based enhanced oil recovery (EOR) processes. Minimum miscibility pressure (MMP) is the most important parameter to successfully design N2 flooding, which is traditionally measured through time consuming, expensive and cumbersome experiments. In this communication, genetic programming (GP) and constrained multivariable search methods have been combined to create a simple correlation for accurate determination of the MMP of N2-crude oil, based on the explicit functionality of reservoir temperature as well as thermodynamic properties of crude oil and injection gas. The parameters of the developed... 

    Adsorption of sodium dodecyl benzene sulfonate onto carbonate rock: Kinetics, equilibrium and mechanistic study

    , Article Journal of Dispersion Science and Technology ; 2017 , Pages 1-13 ; 01932691 (ISSN) Hemmati, N ; Tabzar, A ; Ghazanfari, M. H ; Sharif University of Technology
    2017
    Abstract
    In this study, kinetics, equilibrium, and mechanisms of SDBS adsorption onto carbonate rock in presence/absence of alkaline/electrolyte, which is not well discussed in the available literature, is analyzed through batch experiments. Analysis of kinetic data showed that adsorption rate of SDBS onto carbonate is controlled by both boundary layer and intraparticle diffusion, also adsorption kinetics meets pseudo second-order model. The coefficient of kinetic model is a linear function of initial and equilibrium concentrations. The adsorption isotherm experiences four distinct regions, with a rising trend in the first regions until reaching to a maximum after which decreases slightly, as the... 

    Adsorption of sodium dodecyl benzene sulfonate onto carbonate rock: Kinetics, equilibrium and mechanistic study

    , Article Journal of Dispersion Science and Technology ; Volume 39, Issue 5 , 2018 , Pages 687-699 ; 01932691 (ISSN) Hemmati, N ; Tabzar, A ; Ghazanfari, M. H ; Sharif University of Technology
    Taylor and Francis Inc  2018
    Abstract
    In this study, kinetics, equilibrium, and mechanisms of SDBS adsorption onto carbonate rock in presence/absence of alkaline/electrolyte, which is not well discussed in the available literature, is analyzed through batch experiments. Analysis of kinetic data showed that adsorption rate of SDBS onto carbonate is controlled by both boundary layer and intraparticle diffusion, also adsorption kinetics meets pseudo second-order model. The coefficient of kinetic model is a linear function of initial and equilibrium concentrations. The adsorption isotherm experiences four distinct regions, with a rising trend in the first regions until reaching to a maximum after which decreases slightly, as the... 

    A robust optimization approach for the production-inventory-routing problem with simultaneous pickup and delivery

    , Article Computers and Industrial Engineering ; Volume 143 , May , 2020 Hemmati Golsefidi, A ; Akbari Jokar, M. R ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    The production routing problem (PRP) merges the lot-sizing problem and the vehicle routing problem, two classical problems that have been the focus of comprehensive studies for over half a century. Solving the PRP is an effort to optimize decisions about the production, inventory, distribution, and routing in an integrated manner. In the literature of the recent decade, due to economic changes and regulatory issues, reverse logistics has become a focal point. Subsequently, the vehicle routing problem with simultaneous pickup and delivery (VRPSPD) has drawn more and more attention for its considerable effect on the reverse logistics problem. In addition, one of the major arguments in supply... 

    Clipping noise cancellation in uplink MC-CDMA system using signal reconstruction from non-uniform samples

    , Article 2008 International Conference on Telecommunications, ICT, St. Petersburg, 16 June 2008 through 19 June 2008 ; 2008 ; 9781424420360 (ISBN) Ali Hemmati, R ; Azmi, P ; Marvasti, F ; Sharif University of Technology
    2008
    Abstract
    In this paper, an iterative signal reconstruction method is extended to cancel multi-user clipping noise in a uplink MC-CDMA systems. Clipping is the simplest method to overcome high peak-to-average power ratio of multi-carrier signals but it makes the multi-carrier signals distorted. Reconstruction methods use non-distorted samples to reconstruct distorted samples in the receiver but multi-user interference causes the methods do not work properly because all the received samples are distorted by clipping and interference and so there is no undistorted samples to be used in recovering clipped samples. On the other hand, multi-user interference cancellation methods do not work properly... 

    Tunable bandgap opening in the proposed structure of silicon-doped graphene

    , Article Micro and Nano Letters ; Volume 6, Issue 8 , 2011 , Pages 582-585 ; 17500443 (ISSN) Azadeh, M. S. S ; Kokabi, A ; Hosseini, M ; Fardmanesh, M ; Sharif University of Technology
    2011
    Abstract
    A specific structure of doped graphene with substituted silicon impurity is introduced and ab initio density-functional approach is applied for the energy band structure calculation of the proposed structure. Using the band structure calculation for different silicon sites in the host graphene, the effect of silicon concentration and unit cell geometry on the bandgap of the proposed structure is also investigated. Chemically, silicon-doped graphene results in an energy gap as large as 2eV according to density-functional theory calculations. As the authors will show, in contrast to previous bandgap engineering methods, such structure has significant advantages including wide gap tuning... 

    A hybrid computer simulation-genetic algorithm for scheduling optimisation of cargo trains with time and queue limitations

    , Article International Journal of Industrial and Systems Engineering ; Volume 8, Issue 2 , 2011 , Pages 157-174 ; 17485037 (ISSN) Azadeh, A ; Izadbakhsh, H. R ; Mohammadhosseinzad, M ; Raissifard, M. R ; Sharif University of Technology
    2011
    Abstract
    This paper presents the scheduling optimisation of cargo trains by hybrid computer simulation (CS) and genetic algorithm. Scheduling cargo trains is based on the timetable of passenger trains that have priority in relation to cargo trains. System modelling is accomplished by Visual SLAM by considering time limitations, queue priority and limited station lines. Time limitations define that a cargo train is permitted to travel from station i to j if scheduled passenger trains have completed the travel from station i to j. Queue priority means that passenger trains have priority over cargo trains. In addition, each station has a limited storage track. In addition, all repair, maintenance,... 

    Electrohydrodynamic Stability of a Cylindrical Jet under an Axial Electric Field

    , M.Sc. Thesis Sharif University of Technology Gholamzadeh, Hassan (Author) ; Kebriaee, Azadeh (Supervisor) ; Morad, Mohammad Reza (Supervisor)
    Abstract
    Due to the large application of electro-sprays in various industries, the study of the stability of electro-hydrodynamic flows is important. This thesis examines the stability of cylindrical liquid jets in the presence of an axial electric field. The definition of this jet is a simplified model of electrospray, electrospinning. In this model, the stability of a free incompressible cylindrical flow with surface tensile strength, conductivity, polarization, viscosity, and dielectric constant is determined, irrespective of the solubility of the jet and the surrounding fluid (air), in the presence of uniform axial electric field has taken. This will be done by adding the forces generated by the... 

    Modeling and Characterizing Transient Behavior of Distillation Columns with Travelling Wave Theory

    , M.Sc. Thesis Sharif University of Technology Hemmati Alam, Narjes (Author) ; Pishvaie, Mahmoud Reza (Supervisor)
    Abstract
    Simulation and controlling nonlinear process is one of the challenging problems in academic and industrial research. Saving data for keeping history of process or arising number of calculation for optimization in control design, is forcing to decrease number of equation or order of system. One of the methods to decrease the order of distillation process is using the travelling wave theory. This solution shows god accuracy for simulation the behavior of distillation column. On the other hand finite difference method as a solver for distillation equation takes some time to converge to steady state condition and the numbers of calculation in this method are high. Finite difference method is... 

    Thermodynamic Modeling of Hydrogen Production from Biomass and Evaluation of Biomass Energy Technologies

    , M.Sc. Thesis Sharif University of Technology Hemmati, Shohreh (Author) ; Vossoughi, Manoochehr (Supervisor) ; Sabohi, Yadollah (Supervisor)
    Abstract
    Dependence on fossil fuels as the main energy sources has led to serious energy crisis and environmental problems, i.e. fossil fuel depletion and pollutant emission. Compared with fossil fuel, biomass is a clean energy with zero CO2 emission, because CO2 is fixed by photosynthesis during biomass growth and released again during utilization. Due to its low energy density, direct use of biomass is not convenient. Thus, it is necessary to convert biomass to fuel gas, such as hydrogen, which can be used cleanly and highly efficiently. One of the promising hydrogen production approaches is conversion from biomass, which is abundant, clean and renewable. Alternative thermo-chemical and biological... 

    Application of Fuzzy C-means algorithm as a novel approach to predict solubility of hydrocarbons in carbon dioxide

    , Article Petroleum Science and Technology ; Volume 36, Issue 4 , 2018 , Pages 308-312 ; 10916466 (ISSN) Darvish, H ; Garmsiri, H ; Zare, M ; Hemmati, N ; Sharif University of Technology
    Taylor and Francis Inc  2018
    Abstract
    In the recent years, declination of oil reservoir causes the importance of researches on enhancement of oil recovery processes become more important. One of wide applicable approaches in enhancement of oil recovery is carbon dioxide injection which becomes interested because of relative low cost, good displacement and environmentally aspects. The injection of carbon dioxide to oil reservoir causes the lighter hydrocarbons of crude oil are extracted by CO2. This phenomena can be affected by various factors such the solubility of hydrocarbons in carbon dioxide so in the present investigation Fuzzy c-means (FCM) as a novel approach for estimation of solubility of alkanes in carbon dioxide in... 

    Effect of processing parameters on electrical, mechanical and magnetic properties of iron-resin soft magnetic composite

    , Article Powder Metallurgy ; Volume 50, Issue 1 , 2007 , Pages 86-90 ; 00325899 (ISSN) Hemmati, I ; Madaah Hosseini, H. R ; Miraghaei, S ; Sharif University of Technology
    2007
    Abstract
    In the present paper, a practical thermal treatment process has been introduced to stress relieve the iron powders in a soft magnetic composite. The composites were pressed and treated at different pressures and temperatures. Also, some of the samples were treated for various periods of time at 200°C. Density, electrical resistivity and transverse rupture strength of the samples were measured and fracture surfaces were studied by SEM. A series of tests were performed to determine the DC magnetic properties of the samples. It has been shown that there are optimum amounts of resin content and compaction pressure and temperature, rather than time is the dominant factor in stress relief of the...