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    Spatial-temporal Variation of Urmia Lake Basin Using Artificial Intelligence Algorithms

    , M.Sc. Thesis Sharif University of Technology Novin, Soroush (Author) ; Torkian, Ayoub (Supervisor)
    Abstract
    Water shortages resulting from macro-environmental climate changes as well as local inefficient agricultural practices and dam constructions activities have resulted in the gradual reduction of water level in Urmia Lake, located in the northwest of Iran. As such, restoration efforts were initiated to prevent further adverse impacts exacerbating the conditions and creating secondary problems such as regional salt dust generation and dispersion, resulting in health issues for the greater area population in the neighboring vicinities. The utilization of advanced forecast modeling based on deep learning algorithms can assist the authorities to manage better multi-dimensional issues affecting the... 

    Predicting the Optimal Operation Pattern of Municipal Wastewater Treatment Plant Using Artificial Intelligence Approaches

    , M.Sc. Thesis Sharif University of Technology Hakimi, Mahdi (Author) ; Torkian, Ayoub (Supervisor)
    Abstract
    With the growth of the population and the significant expansion of industries in the last century, many environmental problems have plagued developed and developing countries. One of these environmental problems is water pollution. Observing the effects of water pollution over time, sanitary and industrial wastewater treatment was proposed as a reliable solution. With technology development, wastewater treatment requirements have become stricter. The increase in energy consumption and wastewater treatment costs due to population growth and industrialization on the one hand and strict regulations, on the other hand, have forced those involved in this field to employ a variety of technical and... 

    Investigation and Modeling of Fouling and its Affecting Operational Parameters in Membrane Bioreactors (MBR) for Municipal Wastewater Treatment

    , Ph.D. Dissertation Sharif University of Technology Pourabdollah, Mahdi (Author) ; Torkian, Ayoub (Supervisor)
    Abstract
    This study aims to investigate the influence of important operational parameters on membrane fouling with the approach of fouling layers and to model these influences in the membrane bioreactor (MBR) for municipal wastewater treatment. At the first phase, 11 operational scenarios were executed using a pilot setup for identifying the system behavior and the optimal scenario. Protein and carbohydrate as the fouling components (SMP) and the transmembrane pressure (TMP) as the fouling criteria were measured in the tests. By studying the influence of operational parameters (sludge retention time (SRT), aeration rate and filtration mode), some useful results obtained for the next phase, including... 

    Role of fiber arrangements in operation of a double-fiber opto-mechanical system

    , Article Journal of Applied Sciences ; Volume 11, Issue 16 , 2011 , Pages 3001-3007 ; 18125654 (ISSN) Entezari, E ; Golnabi, H ; Sharif University of Technology
    2011
    Abstract
    Determination of the surface structure using the light reflection is an important issue. The aim is to study such surface reflections using an opto-mechanical system. The effects of the fiber arrangements in the operation of an opto-pair probe system for surface profiling are described. The opto-mechanical testing system consists of a double-fiber optical probe design and an electro-mechanical scanning system. Reflection signals for the plane and cylindrical surfaces made with different curvatures and materials are investigated with both probes and the results are compared. The reflection signal for the plane surface is independent of the double-fiber orientation in probe but for the curves... 

    Performance Evaluation of Membrane Bioreactors in Treating Municipal Wastewater

    , M.Sc. Thesis Sharif University of Technology Hatami Bahman Beyglou, Elnaz (Author) ; Torkian, Ayoub (Supervisor)
    Abstract
    Membrane bioreactors can replace the activated sludge process and the final clarification step in municipal wastewater treatment. The combination of bioreactor and crossflow microfiltration allows for a high chemical oxygen demand (COD) reduction of synthetic wastewater. In this study, experimental data from a laboratory scale membrane bioreactor are presented. In order to investigate the influence of various operating parameters such as hydraulic retention time (HRT), biomass concentration and organic loading rate on organic pollutant removal, the pilot scale submerged membrane bioreactor (SMBR) with a Polyvinylidene Fluoride (PVDF) hollow fiber membrane module was conducted using synthetic... 

    Characterization of Protein Content in Soluble Microbial Products Involved in Fouling of Membrane Bioreactor

    , M.Sc. Thesis Sharif University of Technology Tanhaee, Zahra (Author) ; Torkian, Ayoub (Supervisor) ; Mousavi, Reza (Supervisor)
    Abstract
    Membrane bioreactors are increasingly being used for treatment of domestic and industrial effluents. A major operational drawback of this system is membrane fouling attributed to soluble microbial products (SMPs). In this study sampling were taken from microbial products on the surface and within the membrane pores and mixed liquir for mass characterization of protein content. Water-washing was used for surface and reversible portion of pore samples. Chemical wash with urea was used for further cleansing of SMPs within the pores. All samples were concentrate by precipitation with ammonium sulfate salt prior to analysis. Total protein content of samples was measured by lowry method. SDS-PAGE... 

    A probabilistic task scheduling method for grid environments

    , Article Future Generation Computer Systems ; Volume 28, Issue 3 , 2012 , Pages 513-524 ; 0167739X (ISSN) Entezari Maleki, R ; Movaghar, A ; Sharif University of Technology
    2012
    Abstract
    This paper presents a probabilistic task scheduling method to minimize the overall mean response time of the tasks submitted to the grid computing environments. Minimum mean response time of a given task can be obtained by finding a subset of appropriate computational resources to service the task. To achieve this, a discrete time Markov chain (DTMC) representing the task scheduling process within the grid environment is constructed. The connection probabilities between the nodes representing the grid managers and resources can be considered as transition probabilities of the obtained DTMC. Knowing the mean response times of the managers and resources, and finding fundamental matrix of the... 

    Availability modeling of grid computing environments using SANs

    , Article 2011 International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2011, 15 September 2011 through 17 September 2011, Split, Hvar, Dubrovnik ; 2011 , Pages 403-408 ; 9789532900262 (ISBN) Entezari-Maleki, R ; Movaghar, A ; Sharif University of Technology
    2011
    Abstract
    In this paper, the availability of the Resource Management System (RMS) and computational resources distributed within grid computing environments is studied. Since the RMS acts as a heart of the grid environments, the unavailability of this system can render the entire environment to the inoperable phase. Furthermore, the unavailability of the grid resources may result in degradation of the performance of the grid. Therefore, considering the great importance of the availability issue in grid computing environments, the Stochastic Activity Networks (SANs) are exploited to model and evaluate the availability of grid environments. The proposed SAN models the failure of the resource management... 

    A genetic-based scheduling algorithm to minimize the makespan of the grid applications

    , Article Communications in Computer and Information Science, 13 December 2010 through 15 December 2010 ; Volume 121 CCIS , December , 2010 , Pages 22-31 ; 18650929 (ISSN) ; 9783642176241 (ISBN) Entezari Maleki, R ; Movaghar, A ; Sharif University of Technology
    2010
    Abstract
    Task scheduling algorithms in grid environments strive to maximize the overall throughput of the grid. In order to maximize the throughput of the grid environments, the makespan of the grid tasks should be minimized. In this paper, a new task scheduling algorithm is proposed to assign tasks to the grid resources with goal of minimizing the total makespan of the tasks. The algorithm uses the genetic approach to find the suitable assignment within grid resources. The experimental results obtained from applying the proposed algorithm to schedule independent tasks within grid environments demonstrate the applicability of the algorithm in achieving schedules with comparatively lower makespan in... 

    Analytical solution of generalized coupled thermoelasticity problem in a rotating disk subjected to thermal and mechanical shock loads

    , Article Journal of Thermal Stresses ; Volume 39, Issue 12 , 2016 , Pages 1588-1609 ; 01495739 (ISSN) Entezari, A ; Kouchakzadeh, M. A ; Sharif University of Technology
    Taylor and Francis Ltd  2016
    Abstract
    In this article, a fully analytical solution of the generalized coupled thermoelasticity problem in a rotating disk subjected to thermal and mechanical shock loads, based on Lord–Shulman model, is presented. The general forms of axisymmetric thermal and mechanical boundary conditions as arbitrary time-dependent heat transfer and traction, respectively, are considered at the inner and outer radii of the disk. The governing equations are solved analytically using the principle of superposition and the Fourier–Bessel transform. The general closed form solutions are presented for temperature and displacement fields. To validate the solutions, the results of this study are compared with the... 

    Time to Climb Management Based on Optimal Estimation of Thrust

    , M.Sc. Thesis Sharif University of Technology Entezari, Keyvan (Author) ; Malaekو Mohamadbagher (Supervisor)
    Abstract
    New electric Unmanned Aerial Vehicles (UAV) has unconventional methods for design and performance analyzing. Using the electric power sources and reduce power with time, cause to confusion about operating this type of planes, so new optimization methods are generated. This methods, can used for some part of flight and special problems and involve some assumptions. One of these new methods is using Singular Perturbation theory for prediction optimal path trajectory of Aerial Vehicles. In this research, we solve the optimal climb trajectory for an electric UAV in rested (no wind) atmosphere. Solution of this problem, involve some parameters such as velocity, altitude and flight path angle with... 

    Investigation of the Membrane Characteristics on the Performance of Microbial Fuel Cell

    , M.Sc. Thesis Sharif University of Technology Nikousefat , Omid (Author) ; Torkian, Ayoub (Supervisor) ; Gobal, Freydoon (Supervisor)
    Abstract
    The process of human populations growth, limited resources of fossil fuels and its environmental consequences have driven the international community to Renewable Energy. Microbial fuel cell (MFC) has ability of simultaneous wastewater treatment and electricity generation (Energy). This technology can be considered as one of the proposed solutions to reduce costs of wastewater treatment and power generation. Separators are one of the major components of the MFC that have direct impact on cell performance. On the other hand, high costs of the conventional types have caused to limiting development of the MFC in the last decade.
    In this study, inexpensive and available glass wool membrane... 

    A mafia and distance fraud high-resistance RFID distance bounding protocol

    , Article International ISC Conference on Information Security and Cryptology, ISCISC 2014 ; 18 December 2014 , Pages 67-72 Entezari, R ; Bahramgiri, H ; Tajamolian, M ; Sharif University of Technology
    18 December 2014
    Abstract
    A practical approach to prevent location-based attacks in RFID systems is the use of Distance Bounding (DB) protocols. These protocols enable an entity to determine an upper bound on the physical distance to another entity as well as to authenticate it. It makes, rejection of the requests located out of this distance limitation. So far, many DB protocols have been designed with the aim of resistance to location-based attacks. In this paper, we propose a unilateral DB protocol using delay concept while sending two random binary challenges. This protocol can resist better than other unilateral DB protocols against mafia and distance fraud attacks. In addition, the proposed protocol can be... 

    Unified finite element approach for generalized coupled thermoelastic analysis of 3D beam-type structures, part 1: equations and formulation

    , Article Journal of Thermal Stresses ; Volume 40, Issue 11 , 2017 , Pages 1386-1401 ; 01495739 (ISSN) Entezari, A ; Filippi, M ; Carrera, E ; Sharif University of Technology
    2017
    Abstract
    An innovative 1D finite element (FE) approach is developed to analyze the 3D static, transient, and dynamic problems in the coupled and uncoupled thermoelasticity for the nonhomogeneous anisotropic materials. The Galerkin method is directly applied to the governing equations to obtain a weak formulation of the thermoelasticity problems with arbitrary loads and boundary conditions. To surmount the restrictions of the classical beam theories, a 1D FE procedure is proposed in the context of the Carrera Unified Formulation (CUF). Since coupled thermoelastic analyses are computationally demanding, the proposed 1D FE approach can be used as a powerful means to simulate the generalized coupled... 

    Solution of Coupled Thermoelasticity Problem in Rotating Disks with Constant and Variable Thickness

    , Ph.D. Dissertation Sharif University of Technology Entezari, Ayoob (Author) ; Kouchakzadeh, Mohammad Ali (Supervisor)
    Abstract
    The main purpose of this dissertation is to study thermoelastic behaviors in rotating disks subjected to thermal shock loads based on the generalized and classic theories of coupled thermoelasticity. To this end, this research has been carried out in two stages. In the first stage, thermoelasticity problems in an axisymmetric rotating disk with constant thickness made of a homogeneous isotropic material are analytically solved. In this stage, based on the classical and generalized coupled theories, and dynamic and quasi-static uncoupled theories, an analytical method based on the Fourier-Bessel transform is employed to obtain the thermoelastic solutions. Then, closed-form formulations are... 

    Optimal production control and marketing plan in two-machine unreliable flexible manufacturing systems

    , Article International Journal of Advanced Manufacturing Technology ; Vol. 73, issue. 1-4 , 2014 , pp. 487-496 ; ISSN: 02683768 Entezari, A. R ; Karimi, B ; Kianfar, F ; Sharif University of Technology
    2014
    Abstract
    In this paper, we have developed a production planning and marketing model in unreliable flexible manufacturing systems with inconstant demand rate that its rate depends on the level of advertisement on that product. The proposed model is more realistic and useful from a practical point of view. The flexible manufacturing system is composed of two machines that produce a single product. Markovian models frequently have been used in modeling a wide variety of real-world systems under uncertainties. Therefore, in this paper, the inventory balance equation is represented by a continuous-time model with Markov jump process to take into account machines breakdown. The objective is to minimize the... 

    Performance and power modeling and evaluation of virtualized servers in IaaS clouds

    , Article Information Sciences ; Volume 394-395 , 2017 , Pages 106-122 ; 00200255 (ISSN) Entezari Maleki, R ; Sousa, L ; Movaghar, A ; Sharif University of Technology
    Elsevier Inc  2017
    Abstract
    In this paper, Stochastic Activity Networks (SANs) are exploited to model and evaluate the power consumption and performance of virtualized servers in cloud computing. The proposed SAN models the physical servers in three different power consumption and provisioning delay modes, switching the status of the servers according to the workload of the corresponding cluster if required. The Dynamic Voltage and Frequency Scaling (DVFS) technique is considered in the proposed model for dynamically controlling the supply voltage and clock frequency of CPUs. Thus, Virtual Machines (VMs) on top a physical server can be divided into several power consumption and processing speed groups. According to the... 

    Application of Evolutionary Algorithms for Effective Feature Selection in Brain Signal Classification in Order to Investigate Memory

    , M.Sc. Thesis Sharif University of Technology Entezari, Saeed (Author) ; Shamsollahi, Mohammad Baghe (Supervisor)
    Abstract
    In order to retrieve the temporal dynamics of the long term memory representation, which is believed that synaptically encoded with respect to an approach, we have utilized machine learning methods to classify the magnetoencephalogram (MEG) data that has been collected from an experiment called association task. The decoding process can be considered as a two-class classification problem in which we want to make a decision about the color or orientation of the grating of the test label. For the first step, different features have been extracted. This extraction can be done from the total signals of the different channels or can be extracted from the signal segments for each channel. These... 

    Design of a Green Sea Water Desalination Plant

    , M.Sc. Thesis Sharif University of Technology Amir Entezari, Kamiar (Author) ; Farhadi, Fathollah (Supervisor)
    Abstract
    Sea water desalination needs fossil fuel and electricity. Although there has been major technical development in this case , including RO technical improvements, mainly motivated by oil exporting rich countries, under developed region still need investments for these processes. In this MSc project , a process using renewable energies is investigated to minimize operating costs. “Green technologies” for water desalination will become attractive with oil price increase. The green desalination process is simulated and sensitivity analysis of parameters is investigated. Based on the results, the optimum number of effect is 6, last effect pressure equal to 0.64 bar, and the sea water flow rate to... 

    Performability evaluation of grid environments using stochastic reward nets

    , Article IEEE Transactions on Dependable and Secure Computing ; Volume 12, Issue 2 , 2015 , Pages 204-216 ; 15455971 (ISSN) Entezari Maleki, R ; Trivedi, K. S ; Movaghar, A ; Sharif University of Technology
    2015
    Abstract
    In this paper, performance of grid computing environment is studied in the presence of failure-repair of the resources. To achieve this, in the first step, each of the grid resource is individually modeled using Stochastic Reward Nets (SRNs), and mean response time of the resource for grid tasks is computed as a performance measure. In individual models, three different scheduling schemes called random selection, non-preemptive priority, and preemptive priority are considered to simultaneously schedule local and grid tasks to the processors of a single resource. In the next step, single resource models are combined to shape an entire grid environment. Since the number of the resources in a...