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Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir
, Article Applied Soft Computing Journal ; Volume 13, Issue 2 , February , 2013 , Pages 1085-1098 ; 15684946 (ISSN) ; Ebadi, M ; Shokrollahi, A ; Majidi, S. M. J ; Sharif University of Technology
2013
Abstract
Multiphase flow meters (MPFMs) are utilized to provide quick and accurate well test data in numerous numbers of oil production applications like those in remote or unmanned locations topside exploitations that minimize platform space and subsea applications. Flow rates of phases (oil, gas and water) are most important parameter which is detected by MPFMs. Conventional MPFM data collecting is done in long periods; because of radioactive sources usage as detector and unmanned location due to wells far distance. In this paper, based on a real case of MPFM, a new method for oil rate prediction of wells base on Fuzzy logic, Artificial Neural Networks (ANN) and Imperialist Competitive Algorithm is...
Pulsatile flow of viscous and viscoelastic fluids in constricted tubes
, Article Journal of Mechanical Science and Technology ; Volume 23, Issue 9 , 2009 , Pages 2456-2467 ; 1738494X (ISSN) ; Esmaeili, M ; Majidi, S ; Fakhimghanbarzadeh, B ; Sharif University of Technology
2009
Abstract
The unsteady flow of blood through stenosed artery, driven by an oscillatory pressure gradient, is studied. An appropriate shape of the time-dependent stenoses which are overlapped in the realm of the formation of arterial narrowing is constructed mathematically. A msathematical model is developed by treating blood as a non-Newtonian fluid characterized by the Oldroyd-B and Cross models. A numerical scheme has been used to solve the unsteady nonlinear Navier-stokes equations in cylindrical coordinate system governing flow, assuming axial symmetry under laminar flow condition so that the problem effectively becomes two-dimensional. Finite difference technique was used to investigate the...
A secure and efficient authentication technique for vehicular Ad-Hoc networks
, Article IEEE Transactions on Vehicular Technology ; Volume 67, Issue 6 , 2018 , Pages 5409-5423 ; 00189545 (ISSN) ; Salmasizadeh, M ; Susilo, W ; Majidi, A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2018
Abstract
Vehicular ad-hoc networks (VANETs) are under active development, thanks in part to recent advances in wireless communication and networking technologies. The most fundamental part in VANETs is to enable message authentications between vehicles and roadside units. Message authentication using proxy vehicles has been proposed to reduce the computational overhead of roadside units significantly. In this message authentication scheme, proxy vehicles that verify multiple messages at the same time improve roadside units' efficiency. In this paper, first we show that the only proxy-based authentication scheme (PBAS) presented for this goal by Liu et al. cannot guarantee message authenticity, and...
Evolving an accurate model based on machine learning approach for prediction of dew-point pressure in gas condensate reservoirs
, Article Chemical Engineering Research and Design ; Vol. 92, issue. 5 , May , 2014 , p. 891-902 ; ISSN: 02638762 ; Shokrollahi, A ; Arabloo, M ; Mahdikhani-Soleymanloo, R ; Masihi, M ; Sharif University of Technology
2014
Abstract
Over the years, accurate prediction of dew-point pressure of gas condensate has been a vital importance in reservoir evaluation. Although various scientists and researchers have proposed correlations for this purpose since 1942, but most of these models fail to provide the desired accuracy in prediction of dew-point pressure. Therefore, further improvement is still needed. The objective of this study is to present an improved artificial neural network (ANN) method to predict dew-point pressures in gas condensate reservoirs. The model was developed and tested using a total set of 562 experimental data point from different gas condensate fluids covering a wide range of variables. After a...
Supersonic separator's dehumidification performance with specific structure: Experimental and numerical investigation
, Article Applied Thermal Engineering ; Volume 179 , October , 2020 ; Farhadi, F ; Sharif University of Technology
Elsevier Ltd
2020
Abstract
Supersonic separators are used in gas separation processes such as dehumidification of humid air due to high performance and its good pressure recovery. In the present study, a comprehensive numerical and experimental investigation on the hydrodynamic behavior of air as working fluid and dehumidification performance of supersonic separator have been accomplished. The effect of the operational parameters on shockwave's position are examined. The outcomes show that by increasing the pressure level of supersonic separator, relative error between numerical and experimental results decreases from 20% to less than 10%. The effect of the operational parameters and humidity of inlet air on the...
Effect of the geometry of a swirl generator on energy loss and shockwave position in arina nozzle
, Article Chemical Engineering and Technology ; Volume 43, Issue 8 , August , 2020 , Pages 1596-1607 ; Farhadi, F ; Sharif University of Technology
Wiley-VCH Verlag
2020
Abstract
To investigate the effect of the swirl generator (SG) on shockwave position and pressure drop, 3D simulation is conducted and validated by Arina's study. An increase of the blade number, height, and end angle leads to shockwave displacement toward the nozzle outlet. The maximum increment of the shockwave displacement, which is due to enlarging the angle of the blade end, is about 47 %. For this case, the pressure drop share of the SG is nearly half of the total pressure drop, while the residence time of particles is prolonged by about 51 %. As a general finding, increasing the swirl intensity provides a longer residence time to separate adequately the liquid from the gas. However, a higher...
Effect of the wet outlet geometry on the shockwave position in supersonic separators
, Article Chemical Engineering and Technology ; Volume 43, Issue 1 , January , 2020 , Pages 126-136 ; Farhadi, F ; Sharif University of Technology
Wiley-VCH Verlag
2020
Abstract
Supersonic separators (3Ss) are applied in gas separation processes. Two-dimensional simulation is employed to investigate the effect of operational and thermophysical parameters on the shockwave position. In addition, the impact of the cyclonic part and wet outlet geometry is evaluated by proposing four cases. Increasing the length of the cyclonic part exerts positive and negative influences on the performance of the 3S and the pressure recovery coefficient, respectively. The optimum length is determined between 10 and 15 cm. To demonstrate negative effects of wasted air from the wet outlet, its flow has been increased from 3.6 to 8.1 % of the inlet flow. Improved performance of the 3S is...
Thermally induced spin-dependent current based on Zigzag Germanene Nanoribbons
, Article Physica E: Low-Dimensional Systems and Nanostructures ; Volume 86 , 2017 , Pages 175-183 ; 13869477 (ISSN) ; Faez, R ; Sharif University of Technology
Elsevier B.V
2017
Abstract
In this paper, using first principle calculation and non-equilibrium Green's function, the thermally induced spin current in Hydrogen terminated Zigzag-edge Germanene Nanoribbon (ZGeNR-H) is investigated. In this model, because of the difference between the source and the drain temperature of ZGeNR device, the spin up and spin down currents flow in the opposite direction with two different threshold temperatures (Tth). Hence, a pure spin polarized current which belongs to spin down is obtained. It is shown that, for temperatures above the threshold temperature spin down current increases with the increasing temperature up to 75 K and then decreases. But spin up current rises steadily and in...
Algorithmic Trading Using Deep Reinforcement Learning
,
M.Sc. Thesis
Sharif University of Technology
;
Marvasti, Farohk
(Supervisor)
Abstract
Price movement prediction has always been one of the traders’ concerns in the field of financial market prediction. In order to increase the profit of the trades, the traders can process the historical data and predict the movement. The large size of the data and complex relations between them lead us to use algorithmic trading and artificial intelligence.The stock and Cryptocurrency markets are two common markets attracting traders. This thesis aims to offer an approach using Twin-Delayed DDPG (TD3) and daily close price in order to achieve a trading strategy. Unlike the previous studies using a discrete action space reinforcement learning algorithm, TD3 is a continuous one offering both...
Classifying Users’ Reviews to Respond in App Stores
, M.Sc. Thesis Sharif University of Technology ; Heydarnoori, Abbas (Supervisor)
Abstract
In recent years, the number of applications in app stores such as Google Play has increased dramatically. In Google Play, people can write a review and give a rate to each application. Each review contains a lot of notable information such as ‘feature request’ which helps with software maintenance. Also, the user rate is a sign of user satisfaction or dissatisfaction. Users can change their reviews and rate anytime they want. The previous studies show that total rating affects the success of apps and the total number of downloads. They also found that a lot of users take the rating as one of the important factors while downloading the app and they usually don’t download the apps which have...
Optimal Allocation of Electrical Energy Through a Wind-Solar System with Storage for an Island Industrial Unit
, M.Sc. Thesis Sharif University of Technology ; Oraee, Hashem (Supervisor)
Abstract
Nowadays, electrical energy is one of the crucial requirements in human beings’ lives. Since the majority of the world’s energy is met by fossil fuel, the problems such as global warming, the reduction of fossil fuel resources, and unpredictable oscillation of the prices of such fuels have led to a serious crisis for the people of the world. Furthermore, due to the increasing energy demand, the economic development of most countries has a strong correlation with fossil fuel prices. The abovementioned problems have made a lot of countries take alternative policies in terms of generating energy, one of which is using renewable energy resources. This approach is reported to be clean and...
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) ; 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...
Experimental Separation of Gas Condensate by Vortex Tube Cascade and Validation of Simulation Results
, M.Sc. Thesis Sharif University of Technology ; Farhadi, Fathollah (Supervisor)
Abstract
The aim of this study is to survey the ability of vortex tube cascade for separating heavy components of a gas mixture. For this purpose, three vortex tubes based on previous experiences have been manufactured. Also, a helical double pipe heat exchanger has been designed and constructed. Because of the vortex tube’s ability in developing thermal separation, the effect of thermophysical parameters like feed’s temperature, inlet and outlet pressure of air on the thermal separation performance were evaluated. The recommended correlations for estimating outlet temperature of hot and cold flows, have been validated against experimental data. Moreover, various arrangements of vortex tubes to...
Theoretical and Experimental Investigation of the Wetted Air Dehumidification by Supersonic Separator
, Ph.D. Dissertation Sharif University of Technology ; Farhadi, Fathollah (Supervisor)
Abstract
Supersonic separators (3Ss) are used in gas separation processes such as dehumidification of humid air thanks to their high performance and good pressure recovery. Moreover, 3Ss because of their simple mechanical construction and absence of any environmental impact are preferred to other dehydration methods of natural gas, such as adsorption, cooling, and membrane. Also using the 3Ss for relatively large facilities with considerable investment is more than evident. In the first phase of present study, 2-D simulation is performed to investigate the effect of operational and thermo-physical parameters on shockwave position in a specially conceived wet air 3S. Moreover, the effect of cyclonic...
Experimental studies of heat transfer of air in a double-pipe helical heat exchanger
, Article Applied Thermal Engineering ; Volume 133 , 2018 , Pages 276-282 ; 13594311 (ISSN) ; Alighardashi, H ; Farhadi, F ; Sharif University of Technology
Elsevier Ltd
2018
Abstract
The overall heat transfer coefficient (OHTC) of air in a double-pipe helical heat exchanger is studied and experimentally investigated. In order to increase the rate of heat transfer in the annulus section, a copper-wire fin is soldered on the outside area of the internal tube. The literature correlations’ results are presented against the experimental data by changing mass flow rate and temperature, and consequently changing the Reynolds number. Further, a new method is suggested to obtain the heat transfer coefficients of double-pipe helical heat exchangers for the internal tube and the annulus section by combining two of the previously proposed approaches and making subsequent...
Best vortex tube cascade for highest thermal separation
, Article International Journal of Refrigeration ; Volume 85 , 2018 , Pages 282-291 ; 01407007 (ISSN) ; Alighardashi, H ; Farhadi, F ; Sharif University of Technology
Elsevier Ltd
2018
Abstract
The current study examines different arrangements of vortex tubes (VTs) to get higher performances for cooling and heating. The effects of thermo-physical parameters such as inlet feed temperature and inlet/outlet vortex tube pressure on generated temperature gradient are investigated. To estimate the cold outlet temperatures, the available equations in the literature are verified against our experimental data. Moreover, we propose a new equation to estimate the hot outlet temperature based on the upper limit of hot temperature (ULHT) and the lower limit of cold temperature (LLCT), verified with experimental data as well. Further, several arrangements are simulated to obtain the minimum cold...
A uniformization-based algorithm for continuous-time stochastic games model checking
, Article Theoretical Computer Science ; 2018 ; 03043975 (ISSN) ; Movaghar, A ; Majidi, N ; Sharif University of Technology
Elsevier B.V
2018
Abstract
Continuous-time Stochastic Game (CTSG) can be seen as a proper model to analyze probabilistic, non-deterministic, and competitive behaviors as found in Stochastic Multi-Player Game (SMG). The difference is that in an SMG the system under design is analyzed in the discrete-time setting. In comparison, in a CTSG, the system transitions occur in the continuous-time setting with exponentially distributed delays. This paper focuses on the model checking of CTSGs and presents a uniformization-based algorithm, called TPA, to approximate the time-bounded reachability probabilities with an arbitrary error bound. We concentrate on CTSGs with bounded transition rates. To illustrate the strength points...
LPG mass separation by vortex tube cascade and its economics
, Article Applied Thermal Engineering ; Volume 148 , 2019 , Pages 1139-1147 ; 13594311 (ISSN) ; Alighardashi, H ; Farhadi, F ; Sharif University of Technology
Elsevier Ltd
2019
Abstract
In the present experimental study, the effect of operating parameters such as inlet and outlet pressure as well as inlet temperature on the mass separation capability of vortex tubes (VTs) for a gas mixture is investigated. Specifically, concentrating heavier components of a gas mixture in the hot outlet stream is considered. Proposing a semi-empirical index from the experimental study, the simulation of different arrangements of VTs, and the effect of recycling a portion of the hot outlet stream on its mass separation performance are investigated. Moreover, the proposed separation method by VTs is economically compared with commonly used methods by distillation columns and two-phase...
A uniformization-based algorithm for continuous-time stochastic games model checking
, Article Theoretical Computer Science ; Volume 756 , 2019 , Pages 1-18 ; 03043975 (ISSN) ; Movaghar, A ; Majidi, N ; Sharif University of Technology
Elsevier B.V
2019
Abstract
Continuous-time Stochastic Game (CTSG) can be seen as a proper model to analyze probabilistic, non-deterministic, and competitive behaviors as found in Stochastic Multi-Player Game (SMG). The difference is that in an SMG the system under design is analyzed in the discrete-time setting. In comparison, in a CTSG, the system transitions occur in the continuous-time setting with exponentially distributed delays. This paper focuses on the model checking of CTSGs and presents a uniformization-based algorithm, called TPA, to approximate the time-bounded reachability probabilities with an arbitrary error bound. We concentrate on CTSGs with bounded transition rates. To illustrate the strength points...
Feasibilty Study of Using Condensation in Increasing Diameter of Airborne Particulate Matter to Enhance Control Efficiency
, M.Sc. Thesis Sharif University of Technology ; Arhami, Mohammad (Supervisor)
Abstract
Particles with aerodynamic diameter of less than 10 μm can effectively pass through respiratory system and deposit on pulmonary areas wich cause adverse health effects. These particles are divided in to coarse particles (diameter: 2.5 to 10 μm) and fine particles (diameter < 2.5 μm). Fine particles can be more harmful for human’s health and harder to remove by air pollution control machines compare to coarse particle so it is crucial to find methods to enlarge the size of these particles. In this regards common methods such as utilizing electricity are costly and not efficient enough. Hence other economical and efficient methods such as using condensation are eamined. In this study the...