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    Image Edge Detection Using Ant Algorithms

    , M.Sc. Thesis Sharif University of Technology Moradi Davijani, Hossein (Author) ; Mahdavi - Amiri, Nezameddin (Supervisor)
    Abstract
    Ant algorithms are optimization algorithms inspired by natural behavior of real ants, which can find the shortest path between nest and food. These algorithms are used to solve numerous complex optimization and combinatorial problems. In recent years, ant algorithms have been used in image processing, specially in edge detection. Edge detection being important and having applications in image processing, several edge detection algorithms have been presented. Our goal is to study edge detection processes based on ant algorithms. Four algorithms recently proposed in the literature are implemented, and the results presented by their authors are verified. Furthermore, implemented algorithms are... 

    Processing Images with Hexagonal Pixels

    , M.Sc. Thesis Sharif University of Technology Moradi Davijani, Nooshin (Author) ; Mahdavi Amiri, Nezameddin (Supervisor)
    Abstract
    Image processing is very important in several applications. Here we use a rectangular grid for image processing. Other approaches exist in the literature. One new approach is to change the grid from rectangular to hexagonal, due to its various advantages over the latter. Main advantage of the hexagonal structure in image processing is its resemblance with the arrangement of photoreceptors in the human eyes. The change in arrangement amounts to requiring less pixels. There is no inconsistency in pixel connectivity and thus angular resolution is higher in this arrangement. Our goal here is to study lossless compression algorithms for images with hexagonal pixels. First, we consider the... 

    Sparse Representation and Dictionary Learning based Methods for Skin lesion Segmentation and Classification

    , Ph.D. Dissertation Sharif University of Technology Moradi Davijani, Nooshin (Author) ; Mahdavi Amiri, Nezamoddin (Supervisor)
    Abstract
    Skin cancer is a common type of cancer in the world. Melanoma is considered as the deadliest form of human skin cancer that causes approximately 75% of deaths associated with this cancer. However, melanoma is curable if diagnosed in an early stage. Due to high visual similarities and diverse characteristics of lesions, it is a challenging task to differentiate between different types of skin lesions. Therefore, it is worthwhile to develop a reliable automatic system increasing the accuracy and efficiency of pathologists. Here, we propose sparse representation and dictionary learning based methods for skin lesion segmentation and classification. First, we review the steps of a computer aided... 

    Design and Implementation of Customized Architecture for Algebraic Integer-based FFT Computation

    , M.Sc. Thesis Sharif University of Technology Moradi, Mohsen (Author) ; Jahangir, Amir Hossein (Supervisor)
    Abstract
    By using an encoding scheme based on Algebraic Integers (AIs), we study in this thesis how to map the real numbers needed in the computation of the FFT to integer numbers, in order to prevent error production and propagation throughout the intermediate stages of the FFT computation. To reconstruct encoded data, a decoding stage is to be used at the end of the FFT computation. AI-encoding poses two challenges; how to determine suitable AI bases and an unwanted growth in the number of data passes. This research work, firstly, determines an appropriate FFT architecture, and then, proposes a dedicated architecture based on AI-encoding. The basic and also the proposed dedicated architecture are... 

    Learning Molecular Properties Using Deep Learning

    , M.Sc. Thesis Sharif University of Technology Moradi, Parsa (Author) ; Hossein Khalaj, Babak (Supervisor)
    Abstract
    Design and production of a drug is a very time and money consuming process. It takes more than a decade and about 2.5 million dollars on various stages to design a drug. Attempts to reduce this cost and time to market will make drugs available to customers at a more reasonable time. Some stages such as animal testing phase and clinical trials, can not be replaced and must take place in practice. Fortunately, some laboratory steps are interchangeable with software algorithms. These algorithms can significantly reduce the cost and time to market of the drug if they are accurate enough. On the other hand, the remarkable results of machine learning, in particular, Deep Neural Networks, in areas... 

    Analysis and Evaluation of Security Vulnerabilities of Precision time Protocol (PTP) and Securing IEEE61850 based Digital Substations

    , Ph.D. Dissertation Sharif University of Technology Moradi, Mohsen (Author) ; Jahangir, Amir Hossein (Supervisor)
    Abstract
    Nowadays, power systems and substations are the most important components of the vital infrastructure of a country, which handle the production, transmission and distribution of the electrical energy. Automation systems increase the efficiency of the power industry while making remote control possible, but the use of computer-based control systems is a potential field for cyberattacks which may cause equipment destruction and electricity network destabilization. One of the main requirements for the utilization of digital substations is the synchronization between different equipment used in it. Several algorithms and protocols have been proposed so far for time synchronization in distributed... 

    Completing the Fabrication of Magnetic Micro-swimmer Positioning System and Designing an Optimal Controller to Minimize Energy Consumption

    , M.Sc. Thesis Sharif University of Technology Moradi, Ata (Author) ; Nejat, Hossein (Supervisor) ; Saidi, Mohammad Said (Co-Supervisor)
    Abstract
    Micro-Robotics is implemented by researchers inclusively in last decades in different fields such as, biolotechnology, space, army and medical engineering. However, micropositioning is the main challenge in such projects, since determination and control of micro-robot’s position for drug delivery, artificial insemination and other medical applications are too significant. In this thesis, a method for controlling a microswimmer’s position in two dimention by an external magnetic field has been proposed. Modelling of magnetic field and magnetic gradient are some important challenges due to the fact that in control loop, a fast and optimal model for estimation of magnetic filed and gradient is... 

    An Investigation on the Deformation of a Near Euectic Al-Si Alloy Using the ECAE Process

    , M.Sc. Thesis Sharif University of Technology Bakhtiary Davijani, Amir Hamed (Author) ; Karimi Taheri, Ali (Supervisor)
    Abstract
    The use of aluminum and its alloys in different industries is increasing. To increase the deformability of Aluminum alloys, it is usually deformed at high temperatures. In Such working conditions, the chemical composition, temperature of deformation, strain rate and high temperature activating phenomena will affect the microstructure and final properties of the material. In this thesis the hot and cold deformation behavior of a Al-11.77%Si-0.2%Mg are evaluated. In the cold deformation, the alloy was first annealed and then ECAEed. The mechanical properties and the related microstructure were evaluated via the microhardness test. The results indicated that the alloy could not be deformed... 

    Localization and Control of a Magnetic Device in the Presence of an External Field with Application in Stomach Capsule Endoscopy

    , M.Sc. Thesis Sharif University of Technology Sadeghi Boroujeni, Pouria (Author) ; Vosoughi, Gholamreza (Supervisor) ; Moradi, Hamed (Supervisor) ; Nejat Pishkenari, Hossein (Co-Supervisor)
    Abstract
    Capsule endoscopy is a minimally invasive diagnostic technology for gastrointestinal diseases providing images from the human’s digestion system. Developing a robust and real-time localization algorithm to determine the orientation and position of the endoscopic capsule is a crucial step toward medical diagnostics. In this thesis, we propose a novel model-aided real-time localization approach to estimate the position and orientation of a magnetic endoscopic capsule swimming inside the stomach. In the proposed method, the governing equations of the motion of an ellipsoidal capsule inside the fluid, considering different hydrodynamics interactions, are derived. Then, based on the dynamic... 

    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  

    Biodiesel production using CaO/γ-Al2O3 catalyst synthesized by sol-gel method

    , Article Canadian Journal of Chemical Engineering ; Volume 93, Issue 9 , July , 2015 , Pages 1531-1538 ; 00084034 (ISSN) Moradi, G ; Mohadesi, M ; Rezaei, R ; Moradi, R ; Sharif University of Technology
    Wiley-Liss Inc  2015
    Abstract
    In this study, 40% CaO/γ-Al2O3 catalyst was used for biodiesel production from corn oil. A transesterification reaction was done for 5h at a temperature of 65°C in the presence of corn oil, methanol (methanol to oil molar ratio of 12:1), and CaO/γ-Al2O3 catalyst (0.06g/g (6wt%)). Catalyst used in this study was synthesized using the sol-gel method. In this method, two parameters of gelation temperature and nitric acid concentration were used as variables in the catalyst synthesis step, and experiments were designed using central composite design (CCD). The results indicate that the optimal point is achieved at a gelation temperature of 70°C and... 

    Vulnerability Analysis of DOS Attack in IEC61850 Protocol Using Configuration File Manipulation

    , M.Sc. Thesis Sharif University of Technology Moradi Pahnekolaei, Mohammad Hassan (Author) ; Jahangir, Amir Hossein (Supervisor) ; Bayat Sarmadi, Siavash (Co-Supervisor)
    Abstract
    The IEC61850 Standard was introduced for IED, Intelligent Electronic Device, in a power substation so that different devices from different manufacturers could work together. Each of these devices must be configured to start communication. Chapter 6 of the IEC61850 Standard discusses the configuration language of these devices, SCL, Substation Configuration Language, as well as how to write it in detail.A failure or denial-of-service attack can occur in a power substation if a tampering or embedding a breach in devices’ configuration occurs. To discover such attack, one can model the behavior of all the components in the SCL language using a language describing the behavior, and then compare... 

    DM Water Plant Sedimentation as a Cheap and Waste Source of Catalyst for Biodiesel Production

    , Article International Journal of Chemical Reactor Engineering ; Volume 14, Issue 1 , 2016 , Pages 113-124 ; 15426580 (ISSN) Moradi, G ; Mohadesi, M ; Hosseini, S ; Davood Beygi, Y ; Moradi, R ; Sharif University of Technology
    Walter de Gruyter GmbH  2016
    Abstract
    Transesterification reaction was performed in the presence of soybean oil, methanol, and Demineralized water plant sedimentation catalyst at 60°C for 8 h in this study. Central composite design method was used to study the effect of catalyst concentration and methanol to oil molar ratio on purity and yield of produced biodiesel. The results showed catalyst concentration of 9.08 wt% and methanol to oil molar ratio of 22.49 as the optimum condition in which the values of purity and yield of the produced biodiesel in the second-order models were 99.89% and 81.83%, respectively. Experiments are in good agreement with the mentioned values as corresponded values are 99.95% and 86.68%,... 

    The Role of Cosmological Constant in Gravitational Lensing

    , M.Sc. Thesis Sharif University of Technology Moradi, Mohsen (Author) ; Mansouri, Reza (Supervisor)
    Abstract
    In present thesis, the effect of cosmological constant, Λ, in bending of light by spherical symmetric mass has been studied. At first we obtain the Schwarzschild-de Sitter solution as spherical symmetric solution of General relativity field equations with cosmological constant, without we suppose the solution is static. Then we obtain gravitational lens equation by considering the space geometry and we benefited from several approach to specify the contribution of cosmological constant to the deflection angle. Furthermore we put new upper bounds on the value of the lambda independently of cosmological constraints. Finally for study the contribution of lambda in gravitational lensing... 

    Optimal Coupled Rendezvous and Docking Control

    , M.Sc. Thesis Sharif University of Technology Moradi, Rouzbeh (Author) ; Pourtakdoust, Hassan (Supervisor)
    Abstract
    Planning safe rendezvous and docking trajectories between two spacecrafts has a high importance in the space applications. In order to make two spacecrafts moving in different orbits closer, two stages must be completed simultaneously: First the implementation of rendezvous maneuver which deals with the generation of control/guidance commands leading to trajectories that lead the chaser towards the target. Second the docking maneuver incorporation which makes the two spacecrafts closer with the relative zero attitude. Various approaches have been dealt with till now using the analytical and numerical approaches generally considering rendezvous, not the docking maneuver. These approaches... 

    CFD Modeling of Fixed Bed Reactor for Direct Synthesis of DME from Syngas and Carbon Dioxide

    , M.Sc. Thesis Sharif University of Technology Moradi, Fazel (Author) ; Kazemeini, Mohammad (Supervisor)
    Abstract
    Today, the global environmental restrictions as well as; energy problems have directed researchers toward developing ideas of producing a clean liquid fuel from coal or natural gas as a major research topic. In this regard, a special attention is paid to the dimethyl ether (DME) as a clean material containing 34.8% oxygen possessing enough positive potential to replace the diesel and LPG fuels. One of the most economic routes for producing the DME is known to be the direct conversion of the synthesis gases and carbon dioxide first to the methanol and then its dehydration to the DME. Moreover, the DME is not limited to a particular country or resource area since small reservoirs of natural... 

    Human Action Recognition Using Expandable Graphical Models

    , M.Sc. Thesis Sharif University of Technology Moradi, Reza (Author) ; Kasaei, Shohreh (Supervisor)
    Abstract
    In recent years, ability of computers to recognize human actions, because of numerousapplications, has attracted scientists. Surveillancesystems in house, work and public places, human computer interaction, study of human movement problems, remote supervision of ill or old people and sport training are only some of the applications. In this thesis 10 actions are considered. These actions are Walking, Running, Galloping side, Bending, Jump jacking, Jumping, Jumping in place, Skipping, Waving one hand and Waving two hands. All actions exist in Weisemann dataset so this dataset is used as training and testing dataset. Here important objectives are recognising human action so that it is... 

    The Evolution of Spherically Symmetric Perfect Fluid in Inhomogeneous Models

    , M.Sc. Thesis Sharif University of Technology Moradi, Rahim (Author) ; Mansouri, Reza (Supervisor)
    Abstract
    We have tried this for the first time to reperesent a comprehensive description of the evolution of a perfect fluid in inhomogeneous relativistic models.We solve Einstein equations using numerical methods.In this procedure we can evaluate the effect of pressure in perfect fluid evolution.Also we look at the behavior of the various horizons, and in the end we will present a cosmological model to a black hole  

    Estimation of Origin-Destination Trip Matrix Using Mobile Phone Network’s Spatiotemporal Dataset

    , M.Sc. Thesis Sharif University of Technology Moradi, Ehsan (Author) ; Shafahi, Yousef (Supervisor)
    Abstract
    Knowledge about travel demand patterns is an important requirement for strategic planning and management of urban transportation networks. Use of theoretical trip distribution models such as growth, gravity or intervening opportunities, estimation with the help of questionnaire surveys and development of volume- based O-D estimation methods have been major fields of scientific efforts in recent years.Rapid changes in land use and transportation networks especially in developing countries has raised the importance level of knowledge about changes in travel demand.Traditional approaches are costly, time consuming and suffer from inaccuracies, so,... 

    State estimation, positioning and anti-swing robust control of traveling crane-lifter system

    , Article Applied Mathematical Modelling ; March , 2015 ; 0307904X (ISSN) Moradi, H ; Vossoughi, G ; Sharif University of Technology
    Elsevier Inc  2015
    Abstract
    Under different loading conditions, the over-head cranes may experience a wide range of model parameters variation. A robust control strategy is developed to achieve the high positioning accuracy, short transportation time and suppression of swing angle for an uncertain over-head crane system. Over-head crane is modeled as a three degrees of freedom system and control problem is investigated for two cases: a system with a single control input (the force on trolley) and a system with two control inputs (the force on trolley and the torque on lifter). Regulator and observer systems are designed. To achieve the tracking objectives, an optimal robust controller is designed based on μ-synthesis...