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    Application of Hybrid Metaheuristics in Solving Magic Type Labeling of Graphs

    , M.Sc. Thesis Sharif University of Technology Kafaei Kashefi Moghaddam, Peyman (Author) ; Eshghi, Koorosh (Supervisor)
    Abstract
    Graph Labeling is one of the most active initiatives in graph theory which was introduced in the early 1960’s. One of the most prominent kind of labeling in literature is magic-type labeling inspired by defining magic numbers and magic squares. It also encompasses various types. Total edge magic labeling of Graph G, is a bijection f from V(G)∪E(G) on the set of {1,2,…,|V(G) |+|E(G) |}, on this condition that the summation of each edge label and its vertices’ labels is constant for all edges. Since introducing total edge magic labeling, numerous researches is done that mostly are dedicated to prove mathematical theorems and depicting a whether a distinct graph is magic or not. Therefore, it... 

    Evaluating and Designing an Internet-Service Delivery Approach to Use Virtual Reality in the Pre-Selling Process of Under-Construction Projects in Tehran

    , M.Sc. Thesis Sharif University of Technology Kafaei, Mohammad (Author) ; Alvanchi, Amin (Supervisor)
    Abstract
    Nowadays, the construction industry has undergone extensive changes, with the advent of new technologies, it has departed from the traditional project implementation methods. One of these technologies is Virtual Reality, which is becoming more widespread in various stages of the life cycle of a project from design to delivery. Providing an opportunity for people to see the details of the final construction before completing the project could be regarded as one of the capabilities of this technology. Also, evaluating the project’s features at the time of construction and having a close understanding of product’s reality are the other beneficial aspects of VR. Meanwhile, the emergence and... 

    An Investigation of Leggett’s Inequality

    , M.Sc. Thesis Sharif University of Technology Kashefi, Maryam (Author) ; Shafiee, Afshin (Supervisor)
    Abstract
    Quantum correlations are among most intriguing problems in physics. Bell’s inequality which was proved in 1964 provides with us the possibility of comparing the predictions of quantum theory with what an underlying local realistic theory may reproduce for some given observables in correlated states. The violation of Bell’s inequality in practice prohibits the existance of such underlying theories. Yet, it is not clear which of the assumption, i.e., locality or reality is responsible for explaining the experimentally verified violations. In 2003, a Nobel prizewinner A. J. Leggett proved a new inequality in which the locality assumption was not crucial. Here, we explore different aspects of... 

    A Realistic Urban Mobility Model for Mobile Ad Hoc Network

    , M.Sc. Thesis Sharif University of Technology Peyman, Sina (Author) ; Manzuri, Mohammad Taghi (Supervisor)
    Abstract
    A Mobile Ad hoc NETwork (MANET) is a set of wireless mobile nodes that form a self configured network. MANETs do not have infrastructure and are not currently deployed on large scales. So research in this area is simulation based. Mobility model in a mobile ad hoc network explains the movement pattern of mobile users and is designed to describe the change of their location, velocity and acceleration over time. One of the challenges in this field is the definition of a common mobility model that provides an accurate and realistic movement description of mobile nodes. In this thesis we want to study the mobility pattern of vehicles on Kish Island and compare it with different kinds of... 

    Performance Ehancement of Congestion Control Algorithm Through Traffic Flow Istinction

    , M.Sc. Thesis Sharif University of Technology Peyman, Zakariaei (Author) ; Jahangir, Amir Hossein (Supervisor)
    Abstract
    Congestion is an important issue in the network environment. To keep stable the perfor-mance of the network, congestion control algorithms have been extensively studied. Queue management method employed by the routers is one of the important issues in the congestion control study. Active Queue Management (AQM) has been proposed for early detection of congestion inside the network. AQM mechanisms control the queue length in a router by dropping arriving packets. The Random Early Detection (RED) is the most popular AQM mechanism used in routers on the Intenet to allow network users to simultaneously achieve high throughput and low average delay. The RED algorithm may cause heavy oscillation of... 

    Evaluation of upper Limb Kinematic Synergies in Parkinson's Patients in Medication States and before and after Rehabilitation

    , M.Sc. Thesis Sharif University of Technology Kashefi, Erfan (Author) ; Behzadipour, Saeed (Supervisor)
    Abstract
    Parkinson's disease is a destructive and long-term disease of the central nervous system. This disease especially affects the motor system. Parkinson's patients can be studied under dopaminergic and non-dopaminergic conditions. The non-dopaminergic state means not taking the drug, for at least 12 hours, and the dopaminergic state, from one hour to less than 12 hours after taking the usual dose of the dopaminergic drug. The aim of this study is to examine and compare the statistics and characteristics of Parkinson's patients in dopaminergic and non-dopaminergic states, focusing on reaching and tracking activities. It also aims to analyze the differences before and after rehabilitation in... 

    Calculating Runoff Coefficient of Urmia Lake Basin by Empirical Models and Remot Sensing (RS) Technology

    , M.Sc. Thesis Sharif University of Technology Akbari, Mahdi (Author) ; Tajrishy, Masoud (Supervisor) ; Arasteh, Peyman (Co-Advisor)
    Abstract
    Estimation of runoff in the ungauged basins is a challenge for hydrologists. The main objective of this research is to produce runoff coefficient map using SCS-CN (1972) and Kennessey (1930) as empirical models to for Urmia Lake basin between for 2006-2011.Both SCS-CN and Kennessey methods use slope, land use, and soil permeability data to estimate surface runoff. Accuracy of each model is tested along with the observed runoff using the Root Mean Square Error (RMSE).Urmia Lake basin includes about 400,000 hectares irrigated land, which constitutes around 10 percent of the entire basin area. To exclude the anthropological activities from the estimations, methods were applied only for 28... 

    Immobilization of Laccase onto Graphene Oxide-based Nano-Composites for Decolorization of Colored Wastewaters

    , Ph.D. Dissertation Sharif University of Technology kashefi, Saeed (Author) ; Borghei, Mehdi (Supervisor) ; Mahmoodi, Neyazmohammad (Supervisor)
    Abstract
    Using free laccase, enzymatic decolorization of two azo dyes were optimized. The optimum conditions with the aim of maximizing the decolorization of AB92 dye (92.30%) were: dye concentration = 11.85 mg L-1, pH = 5.1, and enzyme concentration = 98.37 mg L-1. While, these conditions to achieve the maximum decolorization yield of DR23 (95.60%) were: dye concentration = 17.68 mg L-1, pH 3.7 and enzyme concentration =97.89 mg L-1.In the second part, the laccase enzyme was covalently immobilized onto GO nanosheets. At the concentration of graphene oxide and laccase enzyme equal to 1 mg mL-1 and 0.9 mg mL-1, respectively, the enzyme loading was 156.5 mg g-1 and the immobilization efficiency was... 

    Covalently immobilized laccase onto graphene oxide nanosheets: Preparation, characterization, and biodegradation of azo dyes in colored wastewater

    , Article Journal of Molecular Liquids ; Volume 276 , 2019 , Pages 153-162 ; 01677322 (ISSN) Kashefi, S ; Borghei, S. M ; Mahmoodi, N. M ; Sharif University of Technology
    Elsevier B.V  2019
    Abstract
    In this study, graphene oxide (GO) was synthesized via modified Hummer's method and exploited as an ideal enzyme immobilization support due to its exclusive chemical and structural features. Then, laccase from genetically modified Aspergillus was covalently immobilized onto GO (nanobiocatalyst). Enzymatic characterization of the nanobiocatalyst exhibited promising results: laccase loading of 156.5 mg g−1 and immobilization yield of 64.6% at laccase concentration of 0.9 mg/ mL. Further employment of various structural characterization techniques including Fourier Transform Infrared Spectroscopy (FTIR), X-ray Powder Diffraction (XRD), Scanning Electron Microscopy (SEM), Thermo-Gravimetric... 

    Superparamagnetic enzyme-graphene oxide magnetic nanocomposite as an environmentally friendly biocatalyst: Synthesis and biodegradation of dye using response surface methodology

    , Article Microchemical Journal ; Volume 145 , 2019 , Pages 547-558 ; 0026265X (ISSN) Kashefi, S ; Borghei, S. M ; Mahmoodi, N. M ; Sharif University of Technology
    Elsevier Inc  2019
    Abstract
    The unique properties of graphene oxide (GO) nanosheets were integrated with the superparamagnetic characteristics of the CuFe2O4 nanoparticles to synthesize the magnetic graphene oxide (MGO), which was chemically modified with 3-amino propyl trimethoxy silane (APTMS) to functionalize the amine group on MGO (MGO-NH2). Afterward, MGO-NH2 was activated with glutaraldehyde (GLU) as a crosslinking agent to synthesize the functionalized MGO (fMGO) and its capability toward covalent Laccase immobilization was investigated. The comprehensive structural analysis using various characterization techniques, including Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), vibrating... 

    Application of face-centered central composite design (FCCCD) in optimization of enzymatic decolorization of two azo dyes: A modeling vs. empirical comparison

    , Article Progress in Color, Colorants and Coatings ; Volume 12, Issue 3 , 2019 , Pages 179-190 ; 20082134 (ISSN) Kashefi, S ; Borghei, S. M ; Mahmoodi, N. M ; Sharif University of Technology
    Institute for Color Science and Technology  2019
    Abstract
    Biological treatment, especially enzymatic methods, can be employed for effective and environmental- friendly treatment of dye effluents. Laccase, belonging to the blue multi-copper oxidases category, can oxidize a wide variety of substrates, especially synthetic dyes. In this study, laccase was used to biodegrade two azo dyes, i.e., Direct Red 23 and Acid Blue 92. Before conducting the experiments, the laccase used in this study was enzymatically characterized. Face-centered central composite design (FCCCD) was used to optimize the main parameters of the decolorization process. The optimum conditions to maximize the bio-decolorization process of AB92 were X1=11.85 mg L-1, X2=5.10, and... 

    Hydrodynamic Interactions of Artificial Reef using a Laboratory Model

    , M.Sc. Thesis Sharif University of Technology Kalantari, Mohammad Saeed (Author) ; Borghei, Mahmoud (Supervisor) ; Aghtouman, Peyman (Supervisor)
    Abstract
    Resources management is essential duo to sustainable development and marine resources limitations. There are several ways to restore coastal damaged ecosystems, one of the best and most cost effective solution is establishment of artificial reefs. A popular type of artificial reef is named Reef ball, a hollow hemisphere. In some regions these habitats has also been used as submerged breakwater. These structures recover and protect endangered species ecosystem although they provide aesthetic view to a beach. Main application of these structures is to provide a safe environment for marine creature. In this study initially Transmission coefficient variation in two-dimensional model experiments... 

    Optimal Combination of Aerodynamic and Reaction Jet Control in a Vertical Launch Vehicle

    , M.Sc. Thesis Sharif University of Technology Khosravi Samani, Mahdi (Author) ; Nobahari, Hadi (Supervisor) ; Kashefi, Saeid (Co-Advisor)
    Abstract
    In this research, the design of control system has been studied for a special flying vehicle at whole of flight time. This flying vehicle is vertically launched and few time after launch its attitude changes to the desired attitude by a reaction jet control system, then the acceleration commands are tracked when the aerodynamic is activated. Design process includes attitude control system design in launch phase and aerodynamic control system design. Because of the existence of nonlinear and multi-variable dynamics in the flying vehicle and the presence of uncertainty and disturbance, combination of nonlinear, robust and adaptive methods are used in controller design process. Design of... 

    A Low Altitude Optimal-fuzzy Guidance Algorithm for a Vertically Launched Flying Vehicle

    , M.Sc. Thesis Sharif University of Technology Jalalmaab, Mohammad Mehdi (Author) ; Nobahari, Hadi (Supervisor) ; Kashefi, Saeed (Co-Advisor)
    Abstract
    An optimal-fuzzy low altitude two phase CLOS guidance algorithm for a vertically launched flying vehicle is presented. In addition, the required relations for determining the proper rotation angle of interceptor in the launch phase are derived. The guidance algorithm is designed for a three point guidance system and utilizes fuzzy sliding mode control as a regulator to compensate the guidance loop errors. Furthermore, for the purpose of trajectory shaping, a fuzzy system was employed to calculate the augmented elevation angle. Finally, a multi-objective optimization algorithm is used to determine 20 unknown parameters of the guidance law and 11 parameters of trajectory shaping system.... 

    Optimization and Offering a kinetic Model for Enzymatic Hydrolysis of Cellulosic Materials in a Membrane Bio-reactor

    , M.Sc. Thesis Sharif University of Technology Kashefi, Saeed (Author) ; Soltanieh, Mohammad (Supervisor) ; Shaygan Salek, Jalaloddin (Co-Advisor)
    Abstract
    Regarding decreasing resources of fossil fuels and their increasing costs in addition to their environmental pollutions, today, producing bio fuels from wastes such as lignocellulosic materials is of great interest. A fundamental stage in conversion of lignocellulosic materials into bio fuels, such as bio ethanol, is the enzymatic hydrolysis of these materials to produce reducing sugars. Researches have shown high costs of this stage. Optimization of enzymatic hydrolysisconditions is a major step in economization of this process.In this work corn hull is used to produce glucose. Corn hull is a kind of lignocellulosic material that due to high carbohydrate content is used as substrate. Our... 

    SYNCOP: An evolutionary multi-objective placement of SDN controllers for optimizing cost and network performance in WSNs

    , Article Computer Networks ; Volume 185 , 2021 ; 13891286 (ISSN) Tahmasebi, S ; Rasouli, N ; Kashefi, A. H ; Rezabeyk, E ; Faragardi, H. R ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Due to the highly dynamic nature of Wireless Sensor Networks (WSN), Software-Defined Network (SDN) is a promising technology to ease network management by providing a logically centralized control plane. It is a common approach to employ multiple SDN controllers to form a physically distributed SDN to achieve better fault tolerance, boost scalability, and enhance performance. Despite physical distribution, since the notion behind SDN is to logically centralize network management, it is essential to provide a consistent view of the network's state for all controllers. Deploying multiple controllers result in higher synchronization and deployment cost. Since network performance and... 

    Stock market index prediction using artificial neural network

    , Article Journal of Economics, Finance and Administrative Science ; Volume 21, Issue 41 , 2016 , Pages 89-93 ; 20771886 (ISSN) Hedayati Moghaddam, A ; Hedayati Moghaddam, M ; Esfandyari, M ; Sharif University of Technology
    Elsevier Doyma  2016
    Abstract
    In this study the ability of artificial neural network (ANN) in forecasting the daily NASDAQ stock exchange rate was investigated. Several feed forward ANNs that were trained by the back propagation algorithm have been assessed. The methodology used in this study considered the short-term historical stock prices as well as the day of week as inputs. Daily stock exchange rates of NASDAQ from January 28, 2015 to 18 June, 2015 are used to develop a robust model. First 70 days (January 28 to March 7) are selected as training dataset and the last 29 days are used for testing the model prediction ability. Networks for NASDAQ index prediction for two type of input dataset (four prior days and nine... 

    Multidimensional modeling of the stenosed carotid artery: A novel CAD approach accompanied by an extensive lumped model

    , Article Acta Mechanica Sinica/Lixue Xuebao ; Vol. 30, issue. 2 , 2014 , p. 259-273 Kashefi, A ; Mahdinia, M ; Firoozabadi, B ; Amirkhosravi, M ; Ahmadi, G ; Saidi, M. S ; Sharif University of Technology
    2014
    Abstract
    This study describes a multidimensional 3D/lumped parameter (LP) model which contains appropriate inflow/outflow boundary conditions in order to model the entire human arterial trees. A new extensive LP model of the entire arterial network (48 arteries) was developed including the effect of vessel diameter tapering and the parameterization of resistance, conductor and inductor variables. A computer aided-design (CAD) algorithm was proposed to efficiently handle the coupling of two or more 3D models with the LP model, and substantially lessen the coupling processing time. Realistic boundary conditions and Navier-Stokes equations in healthy and stenosed models of carotid artery bifurcation... 

    A novel adaptive LMS-based algorithm considering relative velocity of source

    , Article 2010 7th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2010, 21 July 2010 through 23 July 2010, Newcastle upon Tyne ; 2010 , Pages 10-14 ; 9781861353696 (ISBN) Shirvani Moghaddam, S ; Shirvani Moghaddam, M ; Kalami Rad, R ; Sharif University of Technology
    2010
    Abstract
    In this paper a new least mean square (LMS) based adaptive weighting algorithm is proposed. It is appropriate for antenna array systems with moving targets and mobile applications. The essential goal of this algorithm is to reduce the complexity of weighting process and to decrease the time needed for adjusting the antenna radiation pattern. The main lobe of antenna will be adjusted in the direction of desired signal (main signal) and nulls pointed in the direction of undesired signals (interference signals). By predicting the relative velocity of source, the next location of the source will be estimated and the array weights will be determined using LMS algorithm before arriving to the new... 

    CMA-based adaptive antenna array digital beamforming with reduced complexity

    , Article 2010 7th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2010, 21 July 2010 through 23 July 2010, Newcastle upon Tyne ; 2010 , Pages 327-331 ; 9781861353696 (ISBN) Shirvani Moghaddam, S ; Shirvani Moghaddam, M ; Kalami Rad, R ; Sharif University of Technology
    2010
    Abstract
    Reducing the computational complexity as well as convergence time is the main task of adaptive antenna array processing. This article proposes an improved algorithm for estimating the weights of adaptive array elements based on Constant Modulus Algorithm (CMA). In this new type of algorithm, those weights that have higher effect on the radiation pattern will be estimated and antenna pattern will be adjusted by changing these weights. In this research, 3 new algorithms are proposed. By simulating these algorithms and comparing them with conventional full weight CMA, finally new algorithm that has a reduced complexity and an acceptable performance at different signal to noise ratios (SNRs) is...