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    The Application of Signal Processing in Oil Well Logging

    , M.Sc. Thesis Sharif University of Technology Tahmasebi Moradi, Faezeh (Author) ; Hajsadeghi, Khosro (Supervisor)
    Abstract
    Determining the porosity, water saturation and permeability values in the reservoir rock, are major steps in the petroleum engineering and formation evaluation. Today in the oil industry, these parameters are obtained using Helium gas injection technique on core (Plug) samples. However, the coring operation is difficult and costly. In addition, there isn't the possibility of coring in some of wells, such as horizontal wells. In fact, the present research is the modelling of artificial neural networks to estimate permeability in one of the Iranian oil field reservoirs by using oil well logging data. In this research, MLP neural network has been used and for network training, the evolutionary... 

    A Task Assignment Method to Reduce Aging in Multi-core Processors

    , M.Sc. Thesis Sharif University of Technology Saadatmand, Faezeh Sadat (Author) ; Miremadi, Ghassem (Supervisor)
    Abstract
    Reducing the size of transistors has dramatically increased the impacts of NBTI, HCI, and EM phenomena in comparison with decade ago. These phenomena are able to have influence on properties of different parts of a chip to make it changed gradually; including threshold voltage of a transistor and electrical conductivity of interconnections. These changes are known as the aging of a transistors that diminish the performance and reliability of a chip. A common reason that plays a significant role in all these phenomena is temperature. The temperature becomes more important when the power density increases per unit area due to decreased size of transistors, which is a trend in multi-core... 

    Optimum Design of Air Jet Nozzle Preventing Hot Solid Particles Deposition on the Furnace Wall Using Numerical Simulation of Gas-Particle Two-Phase Flow

    , M.Sc. Thesis Sharif University of Technology Hosseini, Faezeh Sadat (Author) ; Darbandi, Masoud (Supervisor)
    Abstract
    Deposition of solid particles present in the process air on the walls of furnaces is one of the challenges in industries. This phenomenon has various causes. For example, in a furnace, the temperature of particles increases as they pass in front of the furnace burners, and due to the softening of the particles, their chances of deposition increase when they collide with the walls. Over time, with the growth of deposited particle layers on the combustion chamber walls, the performance of the combustion system gradually becomes impaired. present research aims to design air jets intersecting with the process air path, with the purpose of reducing the temperature of particles prone to deposition... 

    An Analysis of Oil Revenues and Monetary and Financial Policies on Iran's Long-term Economic Growth

    , M.Sc. Thesis Sharif University of Technology Mir Jafari, Faezeh Sadat (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    In many papers, GDP is used as a measure of economic growth, which is shown to possess a nonlinear structure. The study focuses on the nonlinear Granger causality between liquidity, government spending, oil revenues and economic growth by markov-switching vector autoregressive and markov- switching Granger causality approach for the period of 1369-1397 for Iran. The empirical results from MSAI(2)-VAR(4) suggest that Oil revenues and government spending have a significant impact on economic growth in both regimes. Also, markov- switching Granger causality results are quite different from the traditional Granger causality results, that suggests the nonlinear Granger causality has more... 

    Design and Fabrication of Brain Spinal Cord Electrodes for Rehabilitation of Rats with Spinal Cord Injuries

    , M.Sc. Thesis Sharif University of Technology Mashayekhi, Fatemeh (Author) ; Fardmanesh, Mehdi (Supervisor) ; Shanehsazzadeh, Faezeh (Co-Supervisor)
    Abstract
    The use of microelectrode arrays in neural networks has offered a wonderful opportunity for evaluating numerous properties and interactions with excitable tissues such as the brain and spinal cord in the laboratory. In neural network applications, microelectrode arrays can be utilized to analyze nerve impulses or interact with neurons. They are either used to record neural data or to stimulate spinal cord nerves. Previous research has revealed that stimulating the spinal epidural region can help restore after spinal cord injuries (SCIs), which is the key to using them in the rehabilitation of living beings, including humans. According to the international campaign for the treatment of SCI... 

    Simulation of HEMT (High Electron mobility Transistor) for Communication Applications

    , M.Sc. Thesis Sharif University of Technology Tahmasebi, Marzie (Author) ; Sarvari, Reza (Supervisor)
    Abstract
    In this thesis, the simulation of HEMT for high frequency applications has been explored. It has been tried to examine the changes such as: gate recess, T-shaped gate, changing the channel length and doping of buffer layer on the performance of the proposed device. Simulation results show that the best way to improve the device performance, in particular its cut-off frequency, is increase in buffer layer doping density. Because it significantly increase the saturation current, electron mobility inside the channel, the transconductance and the cut-off frequency. If we need to lower the noise, the T-shaped gate can also be used. Also, by change in doping of donor layer, amount of 1017 cm-3 is... 

    Weak differentiability of solutions to SDEs with semi-monotone drifts

    , Article Bulletin of the Iranian Mathematical Society ; Volume 41, Issue 4 , Sep , 2015 , Pages 873-888 ; 10186301 (ISSN) Tahmasebi, M ; Zamani, S ; Sharif University of Technology
    Iranian Mathematical Society  2015
    Abstract
    In this work we prove Malliavin differentiability for the solution to an SDE with locally Lipschitz and semi-monotone drift. To prove this formula, we construct a sequence of SDEs with globally Lipschitz drifts and show that the p-moments of their Malliavin derivatives are uniformly bounded  

    Scalable Architecture Based on Fog Computing and Blockchain for IoT Device Management

    , M.Sc. Thesis Sharif University of Technology Tahmasebi, Shirin (Author) ; Habibi, Jafar (Supervisor)
    Abstract
    With the recent considerable developments in the Internet of Things (IoT), billions of resource-constrained devices are interconnected through the internet. Monitoring this huge number of IoT devices that are heterogeneous in terms of underlying communication protocols and data format is challenging. The majority of existing IoT device monitoring solutions heavily rely on centralized architectures. Since using centralized architectures comes at the expense of trusting an authority, it has several inherent drawbacks, including vulnerability to security attacks, lack of data privacy, and unauthorized data manipulation. Hence, a new decentralized approach is crucial to remedy these drawbacks.... 

    Effect of Efficient Management on Reconstruction of Apartment Buildingsi n Region 1 of Tehran City Using Hierarchical Analytical Model

    , M.Sc. Thesis Sharif University of Technology Tahmasebi, Mohammad (Author) ; Mofid, Massoud (Supervisor)
    Abstract
    Nowadays population growth, people housing demand and urbanization tendency has increased the land and house prices. So the constructers tend to build apartments. Time consuming and heavy costs of building and renovation has made the owners to rebuild the damages of their houses in case of an accident. Time and cost are the main factors in construction which includes rebuilding. Buildings and especially apartments renovation is expensive and prolonged. So the rebuilding tendency has been noted more than ever. In this study it has been tried to control costs and time by efficient management to save the rebuilding time and money. Two kinds of questionnaire has been applied to study different... 

    Electrochemical Deposition of Zinc/Nickel Multilayer Coating and Investigating the Effect of Morphology and Phase Structure on the Dissolution of Zinc/Nickel Alloy Coating

    , M.Sc. Thesis Sharif University of Technology Tahmasebi, Maedeh (Author) ; Ghorbani, Mohammad (Supervisor)
    Abstract
    The multilayer coating (Zn-Ni)1/(Zn-Ni)2 is deposited from a single bath with a zincate-sulfate compound and by changing the current density. The effect of current density and the number of layers on the chemical composition, surface morphology, roughness, phase structure, and corrosion resistance of multilayer coatings respectively using atomic absorption spectroscopy, FE-SEM microscope, roughness tests, X-ray analysis, and electrochemical techniques such as Tafel polarization and impedance was investigated and compared with single-layer coatings. Because the amount of nickel in the composition of the coatings is less than 27%, in all the studied currents, the deposition is anomalous. The... 

    Characterization of V2O5 Spent Catalyst & Feasibility Study of its Regeneration

    , M.Sc. Thesis Sharif University of Technology Soltani Nejad, Mohammad (Author) ; Sadrnezhaad, Khatiboleslam (Supervisor) ; Farzami, Faezeh ($item.subfieldsMap.e)
    Abstract
    In this study, at first the V2O5 spent catalysts were characterized. The aim was to identifying whether these catalyst may be regenerated. Then, for feasibility study of them, three methods were applied: washing, diffusion and milling the spent catalysts for their subsequent reproduction. A variety of techniques such as XRD, XRF, AAS, TPR and TPO were applied in order to identify factors contributing in vanadium pentoxide catalysts deactivation. The results showed that approximately all of pollutants caused their performance deterioration, while they still have some active phases. Then, the polluted catalysts were washed (their yield increased from 43% to 72.2%). In the underside of the... 

    Synthesis and optical properties of Au decorated colloidal tungsten oxide nanoparticles

    , Article Applied Surface Science ; Volume 355 , November , 2015 , Pages 884-890 ; 01694332 (ISSN) Tahmasebi, N ; Mahdavi, S. M ; Sharif University of Technology
    Elsevier  2015
    Abstract
    In this study, colloidal tungsten oxide nanoparticles were fabricated by pulsed laser ablation of tungsten target using the first harmonic of a Nd:YAG laser (1064 nm) in deionized water. After ablation, a 0.33 g/lit HAuCl4 aqueous solution was added into as-prepared colloidal nanoparticles. In this process, Au3+ ions were reduced to decorate gold metallic state (Au0) onto colloidal tungsten oxide nanoparticles surface. The morphology and chemical composition of the synthesized nanoparticles were studied by AFM, XRD, TEM and XPS techniques. UV-Vis analysis reveals a distinct absorption peak at ∼530 nm. This peak can be attributed to the surface plasmon resonance (SPR) of Au and confirms... 

    A novel adaptive approach to fingerprint enhancement filter design

    , Article Signal Processing: Image Communication ; Volume 17, Issue 10 , 2002 , Pages 849-855 ; 09235965 (ISSN) Tahmasebi, A. M ; Kasaei, S ; Sharif University of Technology
    2002
    Abstract
    A novel procedure for fingerprint enhancement filter design is described. Fingerprints are best used as unique and invariant identifiers of individuals. Identification of fingerprint images is based on matching the features obtained from a query image against those stored in a database. Poor quality of fingerprint images makes serious problems in the performance of subsequent matching process. The main contribution of this work is to quantify and justify the functional relationship between image features and filter parameters. In this work, the enhancement process is adapted to the input image characteristics to improve its efficiency. Experimental results show the superiority of the... 

    Private sequential function computation

    , Article 2019 IEEE International Symposium on Information Theory, ISIT 2019, 7 July 2019 through 12 July 2019 ; Volume 2019-July , 2019 , Pages 1667-1671 ; 21578095 (ISSN); 9781538692912 (ISBN) Tahmasebi, B ; Maddah Ali, M. A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    In this paper, we introduce the problem of private sequential function computation, where a user wishes to compute a composition of a sequence of K linear functions, in a specific order, for an arbitrary input. The user does not run these computations locally, rather it exploits the existence of N non-colluding servers, each can compute any of the K functions on any given input. However, the user does not want to reveal any information about the desired order of computations to the servers. For this problem, we study the capacity, defined as the supremum of the number of desired computations, normalized by the number of computations done at the servers, subject to the privacy constraint. In... 

    A Scalable architecture for monitoring IOT devices using ethereum and fog computing

    , Article 4th International Conference on Smart Cities, Internet of Things and Applications, SCIoT 2020, 16 September 2020 through 17 September 2020 ; 2020 , Pages 66-76 Tahmasebi, S ; Habibi, J ; Shamsaie, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    With recent considerable developments in the Internet of Things (IoT), billions of resource-constrained devices are interconnected through the Internet. Monitoring this huge number of IoT devices which are heterogeneous in terms of underlying communication protocols and data format is challenging. The majority of existing IoT device monitoring solutions heavily rely on centralized architectures. Since using centralized architectures comes at the expense of trusting an authority, it has several inherent drawbacks, including vulnerability to security attacks, lack of data privacy, and unauthorized data manipulation. Hence, a new decentralized approach is crucial to remedy these drawbacks. One... 

    A Fast and Scalable Network-on-Chip for DNN Accelerators

    , M.Sc. Thesis Sharif University of Technology Tahmasebi, Faraz (Author) ; Sarbazi Azad, Hamid (Supervisor)
    Abstract
    Deep Neural Networks (DNNs) are widely used as a promising machine learning method in different applications and come with intensive computation and storage requirements. In recent years, several pieces of prior work have proposed different accelerators to improve DNNs processing. We observe that although the state-of-the-art DNN accelerators effectively process some network layers of certain shapes, they fail to keep computation resources fully utilized for many other layers. The reason is twofold: first, the mapping algorithm is unable to employ all compute cores for processing some layer types and dimension sizes, and second, the hardware cannot perform data distribution and aggregation... 

    Prediction of wax disappearance temperature using artificial neural networks

    , Article Journal of Petroleum Science and Engineering ; Volume 108 , 2013 , Pages 74-81 ; 09204105 (ISSN) Moradi, G ; Mohadesi, M ; Moradi, M. R ; Sharif University of Technology
    2013
    Abstract
    In this study, the artificial neural network (ANN) was used for the prediction of WDT. The inputs to network are molar mass and pressure, and the output is WDT at each input. A two-layer network with different hidden neurons and different learning algorithms such as LM, SCG, GDA and BR were examined. The network with 16 hidden neurons and Levenberg-Marquardt (LM) train function showed the best results in comparison with the other networks. Also, the predicted results of this network were compared with the thermodynamic models and better accordance with experimental data for ANN was concluded  

    Evaluation of the Change in Friction Dampers’ Optimal Slip Load in 3-D StructuralModels Due to Soil-Structure Interaction

    , M.Sc. Thesis Sharif University of Technology Tahmasebi, Ebrahim (Author) ; Rahimzadeh Rofooei, Fayyaz (Supervisor)
    Abstract
    In this study, the change in friction damper’s optimal slip load in 3-D structures due to soil-structure interaction was evaluated. Using AISC-LRFD code, an 8 story shear building has been designed considering gravitational and equivalent static lateral loads. Then, the changes in friction damper’s optimal slip load due to PGA and soil type variation were studied. In this part two PGAs and two soil types were considered. Seven strong ground motions, recorded on soil types E and D was used for each of the two soil types. After normalizing the PGAs of selected records, these records were used for dynamic time history analyses. In the next step, the soil-structure interaction effect has been... 

    A newmodel for permeability reduction rate due to calciumsulfate precipitation in sandstone cores

    , Article Journal of Porous Media ; Volume 13, Issue 10 , 2010 , Pages 911-922 ; 1091028X (ISSN) Tahmasebi, H. A ; Soltanieh, M ; Kharrat, R ; Sharif University of Technology
    2010
    Abstract
    In this work, a reliable dimensionless correlation is proposed for prediction of permeability reduction rate in porous media, which is verified by experimental data obtained in this work in glass bead and sand pack as well as the core data from the literature. Although this correlation is based on the data which were obtained in our work in glass bead and sand-packed media at low pressure, it shows considerable flexibility to match with the extracted data for sandstone cores at high pressure, various flow rates, different temperatures and concentrations of calcium, and sulfate ions in brine solutions. In addition, a novel relationship for predicting the rate of precipitation of CaSO4 in... 

    Dimensionless correlation for the prediction of permeability reduction rate due to calcium sulphate scale deposition in carbonate grain packed column

    , Article Journal of the Taiwan Institute of Chemical Engineers ; Volume 41, Issue 3 , 2010 , Pages 268-278 ; 18761070 (ISSN) Tahmasebi, H. A ; Kharrat, R ; Soltanieh, M ; Sharif University of Technology
    2010
    Abstract
    In this work, an experimental and theoretical study has been conducted to investigate the permeability reduction due to CaSO4 scale deposition in packed column porous media. Permeability reduction by calcium sulphate deposition follows a systematic trend considering various important parameters that are affected in this complex process. Hence, a novel dimensionless model has been proposed for the prediction of permeability reduction rate with high accuracy. The developed model is based on the data obtained from glass bead and carbonate grain packed column at low pressure. The proposed model was validated with Berea sandstone cores data at high pressure (100-20,678 kPa), various flow rates...