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    Experimental Studies and Finite Element Analysis of Polymer Nanocomposites Reinforced with Graphene Sheets under Impact Loading

    , M.Sc. Thesis Sharif University of Technology Zarei Darani , Sajad (Author) ; Naghdabadi, Reza (Supervisor) ; Sohrabpour, Saeed (Supervisor)
    Abstract
    In the experimental approach, graphene and Graphene Oxide (GO) were synthesized through a chemical method. In order to study the quality of GO, characterization tests were performed. Then, reinforced polymer with GO and graphene was made. Moreover, tension, compression and Split- Hopkinson pressure bar tests were performed on standard samples of reinforced polymer nanocomposite. The experimental data show that nanoparticles have a destructive effect in very low and high percentages for extension test as well as in high percentages for compression test. On the other hand, graphene is more effective than GO on improving material properties. Furthermore, comparison of compression results in... 

    Numerical Analysis and Experimental Study of the Piezoresistivity of the Flexible Polymer Nanocomposites

    , Ph.D. Dissertation Sharif University of Technology Zarei Darani, Sajjad (Author) ; Naghdabadi, Reza (Supervisor) ; Sohrabpour, Saeed (Supervisor)
    Abstract
    This research investigates the piezoresistivity of MWCNT/thermoplastic polyurethane (MWCNT-TPU) nanocomposite through both experimental and numerical modeling approaches. Piezoresistive materials are those whose electrical conductivity changes with deformation. Key challenges in the experimental phase included the potential for non-uniform nanoparticle dispersion and agglomeration, as well as the method of measuring electrical resistance under strain, given the inherently high electrical resistance of polymeric materials. In the modeling phase, challenges comprised the high computational cost due to the microstructure's geometry and properties, and the necessity of accounting for the... 

    Experimental Investigation of Fretting Fatigue of Titanium Specimens Made by Additive Manufacturing Method

    , M.Sc. Thesis Sharif University of Technology Sajjad Houshmand (Author) ; Adibnazari, Saeed (Supervisor)
    Abstract
    Additive manufacturing (AM) has gained significant attention in recent years as a novel approach to fabricate three-dimensional parts. Its advantages, including high speed, low-cost production for small-scale batches, and greater design freedom, have made it a competitive alternative to traditional manufacturing methods. However, the application of AM for components subjected to fretting fatigue requires careful evaluation. Fretting fatigue is a major cause of failure in turbines, particularly at the contact interface between turbine blade roots and disk. In this study, the influence of AM and post-processing treatments on the fretting fatigue life of Ti-6Al-4V alloy was investigated. Five... 

    Comparison of the Maximum Likelihood Ratio Detectors with the Hough Detectors in RADAR Detection Applications

    , M.Sc. Thesis Sharif University of Technology Sharify Darani, Soroush (Author) ; Nayebi, Mohammd Mahdi (Supervisor)
    Abstract
    In this work, Hough detector has been compared with optimum detectors. We consider 2-D range-time data space, which is constructed by storing the radar returns from different range cells during several successive scans. In this space, target trajectory can be modeled as a straight line for short time intervals, and can be extracted by applying Hough transform transcendentally. In this work, a new detection method based on the likelihood ratio in the data space with Gaussian noise is introduced. ALR and GLR processors have been designed. Then formulas for probability of detection and false alarm rate is calculated, and verified via simulations. A new criterion for estimation quality is... 

    What drives mergers and acquisitions waves in developing countries? Evidences from Iranian banking industry

    , Article Iranian Economic Review ; Volume 19, Issue 2 , 2015 , Pages 123-137 ; 10266542 (ISSN) Zarei, M ; Alambeigi, A ; Karimi, P ; Zarei, B ; Sharif University of Technology
    2015
    Abstract
    Many Middle-East countries, like Iran, have dynamic banking industries and have observed merger and acquisitions (M&A) waves. M&A waves are usually defined in the developed world context and some of their main drivers were identified as: market timing, environment's shocks, merger manias, government regulation and regulatory, and technological changes. It has been discussed that merger waves and their reasons are among the ten most important unsolved mysteries in the field of finance (Brealey and Myers, 1991, p. 923), and as a result of this, it was not possible to completely clarify the reasons behind emerging M&A waves, especially in developing countries; for this reason in these... 

    The effects of mergers and acquisitions (M&As) on bank performance and entrepreneurial orientation (EO)

    , Article Iranian Entrepreneurship: Deciphering the Entrepreneurial Ecosystem in Iran and in the Iranian Diaspora ; 2017 , Pages 361-375 ; 9783319506395 (ISBN); 9783319506388 (ISBN) Zarei, M ; Alambeigi, A ; Zarei, B ; Karimi, P ; Sharif University of Technology
    Springer International Publishing  2017
    Abstract
    This chapter aims at pointing out that how mergers and acquisitions (M&As) as popular strategies which they are based on external growth approach have affected the performance of banks and entrepreneurial orientation (EO) in the context of Iranian financial sector. In this regard, it has been tried to investigate in what way EO moderates the relationships between the performance of banks in one hand, and M&As on the other hand. For this goal, 114 participants including the top and middle managers of the Iranian banks were chosen to be closely considered. The research is an applied research and a cross-correlation methodology has been used to spotlight on the probable relationships between EO... 

    A more accurate prediction of liquid evaporation flux

    , Article Iranian Journal of Chemistry and Chemical Engineering ; Volume 23, Issue 2 , 2004 , Pages 45-53 ; 10219986 (ISSN) Khosravi Darani, K ; Sabzyan, H ; Zeini Isfahani, A ; Parsafar, G ; Sharif University of Technology
    Iranian Journal of Chemistry and Chemical Engineering  2004
    Abstract
    In this work, a more accurate prediction of liquid evaporation flux has been achieved. The statistical rate theory approach, which is recently introduced by Ward and Fang and exact estimation of vapor pressure in the layer adjacent to the liquid-vapor interface have been used for prediction of this flux. Firstly, the existence of an equilibrium layer adjacent to the liquid-vapor interface is considered and the vapor pressure in this layer and its thickness calculated. Subsequently, by using the Fick's second law, an appropriate vapor pressure expression for the pressure of equilibrium layer is derived and by this expression and the statistical rate theory approach, evaporation flux is... 

    Analytical Investigation and Evaluation of Vulnerability of Deep Networks to Adversarial Perturbations

    , M.Sc. Thesis Sharif University of Technology Azizi, Shayan (Author) ; Ghaemmaghami, Shahrokh (Supervisor) ; Amini, Sajjad (Co-Supervisor)
    Abstract
    One of the most important problems in machine learning is investigating the performance of the learning algorithms, and especially deep neural networks, on adversarial examples, which are generated by imperceptibly perturbing input images, so that cause the model make a wrong prediction. Not only this line of research is important for making deep neural networks dependable, but also can help with understanding the fundamental limitations of deep neural networks, and the nature of their operation, which can in turn provide researchers with valuable insights into artificial intelligence. In this research work, we have tried to approach the topic with a mainly theoretical mindset. The method we... 

    Face Forgery Detection Through Statistical Analysis and Local Correlation Investigation

    , M.Sc. Thesis Sharif University of Technology Asasi, Sobhan (Author) ; Ghaemmaghami, Shahrokh (Supervisor) ; Amini, Sajjad (Supervisor)
    Abstract
    Existing face forgery detection methods mainly focus on certain features of images, such as features related to image noise, local textures or frequency statistics of images for forgery detection. This makes the extracted representations and the final decision depend on the data in the database and makes it difficult to detect forgery with unknown manipulation methods. Solving this challenge, which is called the generalization challenge in artificial intelligence literature, has become the main goal of researchers in this field. In this thesis, the focus is on extracting effective features for success in forgery detection and preventing the performance of the forgery detection network from... 

    On-Chip wavefront shaping with rewritable phase-change metasurfaces

    , Article Proceedings of the International Semiconductor Conference, CAS ; 2024 , Pages 87-90 ; 979-835035207-8 (ISBN) Zarei, S ; Sharif University of Technology
    IEEE  2024
    Abstract
    Photonic integrated circuits (PICs) with rapid programming capability are highly desirable to realize flexible photonic networks. Phase change technology offers nonvolatile programmability in PICs. Here, an alternate way of controlling the light flow to interferometers, directional couplers, and phase shifters in the photonic integrated circuits, that is on-chip programmable metasurfaces is reported. Compact and low-loss on-chip metasurfaces can be demonstrated on a Sb2Se3 thin film using direct laser writing. On-chip focusing and splitting are realized with a single layer of the on-chip metasurface. Also, a more complex machine learning task of pattern recognition is accomplished by a... 

    Robustification of Deep Learning Structures Based Ongenerative Models

    , M.Sc. Thesis Sharif University of Technology Haji Mohammadi, Reza (Author) ; Kazemi, Reza (Supervisor) ; Amini, Sajjad (Supervisor)
    Abstract
    In recent years, deep learning has experienced rapid and remarkable advancements, demonstrating exceptional performance in various applications such as computer vision, natural language processing, and autonomous vehicles. These models are continually evolving and expanding, yet they harbor inherent vulnerabilities that prevent complete trust in their reliability. One of the most critical issues is their susceptibility to adversarial attacks, where a clean image is subtly manipulated to create an adversarial example. Adversarial examples, generated by adding imperceptible perturbations to input data, can easily mislead deep learning models into making highly confident yet incorrect... 

    Nonlinear Filters Applied to Tightly Coupled Integration of INS/GPS/PL for Precise Navigation in Automatic Landing of UAVs

    , M.Sc. Thesis Sharif University of Technology Heidari Darani, Mohammad Mehdi (Author) ; Nobahari, Hadi (Supervisor) ; Ghanbarpour Asl, Habib (Supervisor)
    Abstract
    One of the most dangerous phases of the flight is landing. Newly automatic landing is noticed. The vital element in an automatic landing system is navigation system. In this document, a PL/INS/DGPS auto landing system is introduced.In a PL based navigation system, accuracy is highly under the influence of relative geometry between PLs position and flight path. Therefore, it is necessary to locate PLs on the best position. An optimization is used to find PLs best configuration that increases the navigation performance. Tightly coupling of INS and GPS/PL is preferred, because some problems lead to GPS satellite signal unavailability  

    Analysis and Enhancement of Low Voltage Ride Through Of Wind Turbines with Brushless Doubly Fed Induction Generator

    , Ph.D. Dissertation Sharif University of Technology Gholizadeh, Mahyar (Author) ; Oraee Mirzamani, Hashem (Supervisor) ; Tohidi, Sajjad (Co-Advisor)
    Abstract
    Wind energy technologies guarantee low pollution and operational costs. Using a DFIG and a fractionally rated power electronics converter gives variable speed operation with a low cost drive train. As energy policy organizations have allocated a considerable quota of wind energy generation to offshore wind farms, the absence of slip rings and brushes in the brushless DFIG (BDFIG) is an advantage for offshore wind turbines where maintenance is vital and expensive. With increasing wind power penetration in power systems, grid code requirements are an important consideration for the ride-through capability of wind farms through voltage dips, particularly for multi- MW wind turbine generators.... 

    Efficient Observer-Dependent Simplification in Polygonal Domains

    , Article Algorithmica (New York) ; April , 2011 , Pages 1-21 ; 01784617 (ISSN) Zarei, A ; Ghodsi, M ; Sharif University of Technology
    2011
    Abstract
    In this paper, we consider a special version of the well-known line-simplification problem for simplifying the boundary of a region illuminated by a point light source q, or its visibility polygon VP(q). In this simplification approach, we should take the position of q as an essential factor into account to determine the quality of the resulting simplification. For this purpose, we redefine the known distance- and area-distortion error criteria as the main simplification criteria to take into account the distance between the observer q and the boundary of VP(q). Based on this, we propose algorithms for simplifying VP(q). More precisely, we propose simplification algorithms of O(n2) and... 

    Permeability modeling using ANN and collocated cokriging

    , Article 72nd European Association of Geoscientists and Engineers Conference and Exhibition 2010: A New Spring for Geoscience. Incorporating SPE EUROPEC 2010 ; Volume 5 , 2010 , Pages 3939-3943 ; 9781617386671 (ISBN) Zarei, A ; Masihi, M ; Sharif University of Technology
    Society of Petroleum Engineers  2010
    Abstract
    Obtaining a reliable reservoir permeability map that is consistent with all available data is of great important for reservoir engineers. However, there is not enough core from existing wells to estimate the reservoir permeability directly but Well log data are more widely available. This study aims to model permeability within the reservoir while there is no enough data. In particular, we use artificial neural networks to estimate permeability using four input logs of sonic, gravity, porosity and neutron logs in six existing wells. In order to eliminate the correlated data, we have done Principal Component Analysis on selected input logs. Collocated cokriging is considered as a valuable... 

    A practical approach for planar visibility maintenance

    , Article Journal for Geometry and Graphics ; Volume 13, Issue 1 , 2009 , Pages 75-90 ; 14338157 (ISSN) Zarei, A ; Ghodsi, M ; Sharif University of Technology
    2009
    Abstract
    In this paper, we propose a method for maintaining the region visible from a moving point observer inside a planar scene. In this method, we check the observer position in discrete time-stamps to detect and apply changes to the visible or illuminated region of a moving point observer q, or VP(q). We efficiently maintain a list C(q) of edges in VP(q) which are subject to change during the motion. In each time-stamp that VP(q) is to be updated, we only refine and redraw the view against the edges of C(q) that indicate the positions of the visibility changes. We build an enriched representation of the visibility graph in a preprocessing step to apply the required updates on C(q) efficiently and... 

    Formation of Zn-Ca-Ni tri cation's phosphate coating on steel and study that properties

    , Article TMS 2009 - 138th Annual Meeting and Exhibition, San Francisco, CA, 15 February 2009 through 19 February 2009 ; Volume 1 , 2009 , Pages 615-623 ; 9780873397384 (ISBN) Zarei, M ; Afshar, A ; Sharif University of Technology
    2009
    Abstract
    A new Zinc phosphating bath, which produces coatings at relatively lower temperatures within a reasonable time by using of chemical accelerators has been devised. Improvement of the bath performance by the addition of divalent cations like calcium, nickel has been studied. Bath formulation and operating conditions have been optimized by coating weight determinations. Stable samples of phosphating formulations with and without calcium and nickel salts were prepared and the structure and morphology of the phosphate coatings were determined by using X-ray diffraction (XRD) techniques, scanning electron microscopy. ASTMB117 salt spray test and electrochemical impedance spectroscopy (EIS) were... 

    Query point visibility computation in polygons with holes

    , Article Computational Geometry: Theory and Applications ; Volume 39, Issue 2 , 2008 , Pages 78-90 ; 09257721 (ISSN) Zarei, A ; Ghodsi, M ; Sharif University of Technology
    2008
    Abstract
    In this paper, we consider the problem of computing the visibility of a query point inside polygons with holes. The goal is to perform this computation efficiently per query considering the cost of the preprocessing phase. Our algorithm is based on solutions in [A.L.P. Bose, J.I. Munro, Efficient visibility queries in simple polygons, Computational Geometry: Theory and Applications 23 (3) (2002) 313-335] and [M.T.B. Aronov, L. Guibas, L. Zhang, Visibility queries and maintenance in simple polygons, Discrete and Computational Geometry 27 (4) (2002) 461-483] proposed for simple polygons. In our solution, the preprocessing is done in time O( n3logn) to construct a data structure of size O( n3).... 

    Efficient computation of query point visibility in polygons with holes

    , Article 21st Annual Symposium on Computational Geometry, SCG'05, Pisa, 6 June 2005 through 8 June 2005 ; 2005 , Pages 314-320 Zarei, A ; Ghodsi, M ; Sharif University of Technology
    2005
    Abstract
    In this paper, we consider the problem of computing the visibility of a query point inside polygons with holes. The goal is to perform this computation efficiently per query with more cost in the preprocessing phase. Our algorithm is based on solutions in [13] and [2] proposed for simple polygons. In our solution, the preprocessing is done in time O(n3 log(n)) to construct a data structure of size O(n3). It is then possible to report the visibility polygon of any query point q in time O((1 + h′) log n + |V(q)|), in which n and h are the number of the vertices and holes of the polygon respectively, |V(q)| is the size of the visibility polygon of q, and h′ is an output and preprocessing... 

    Computational inverse design for cascaded systems of metasurface optics: comment

    , Article Optics Express ; Volume 30, Issue 20 , 2022 , Pages 36966-37005 ; 10944087 (ISSN) Zarei, S ; Khavasi, A ; Sharif University of Technology
    Optica Publishing Group (formerly OSA)  2022
    Abstract
    In a recently published article by Backer [Opt. Express 27(21), 30308 (2019).], a computational inverse design method is developed for designing optical systems composed of multiple metasurfaces. The forward propagation model used in this method was a discretized version of the angular spectrum propagator described by Goodman [Introduction to Fourier Optics, 1996]. However, slight modifications are necessary to increase the accuracy of this inverse design method. This comment examines the accuracy of the results obtained by the above-mentioned method by a full-wave electromagnetic solver and explains the reason of their difference. Thereafter, slight modifications to the method proposed by...