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    , M.Sc. Thesis Sharif University of Technology Malek Mohammadi, Mahsa (Author) ; Zahedi, Edmond (Supervisor)
    Abstract
    Cardiovascular (CV) system is very similar to a wireless communication system in which a common input signal from the heart is fed into different arterial channels throughout different body parts. By putting multiple sensors on different peripheral body sites effects of this circulation from the heart can be recorded and be used as inputs for different multi channel blind system identification (BSI) methods for estimation of arterial channel dynamics. This Thesis is defined in order to investigate different BSI methods capability in CV characterization. To achieve this goal photoplethysmogram signals has been used as primary sensory recorded effect of heart function at three different... 

    An Access Control Model for Cloud-Enabled IoT Platforms

    , M.Sc. Thesis Sharif University of Technology Malek Mohammadi, Alireza (Author) ; Movaghar, Ali (Supervisor)
    Abstract
    In recent years, the Internet of Things has become one of the most popular technologies that has facilitated new interactions between objects and humans to improve their quality of life. With the rapid proliferation of the Internet of Things, an ever-evolving question arises - how to control access and permissions in a space that can contain hundreds of smart devices - which ultimately address security and privacy concerns of technologies and consumers. Today, cloud computing has become an important technology for the Internet of Things and creates a cloud architecture that is used in various fields in this area. A smart city is an urban area that uses a variety of sensors and electronic... 

    Path Planning for a Mobil Robot in an Unkonwn Environment By Recurrent Neural Networks

    , M.Sc. Thesis Sharif University of Technology Hassanzadeh, Mohammad (Author) ; Zarei, Alireza (Supervisor) ; Malek, Alaeddin (Supervisor)
    Abstract
    Path planning of a robot inside an environment with obstacles is to determine an appropriate path for moving from an initial point to a destination without colliding the obstacles. The main considerations in selecting such a path are its length and simplicity in terms of links or turn angles. In this paper, we study this problem for a point robot in the plane and our goal is to minimize the path length. We solve this problem by converting it to an optimization problem and solving the resulted optimization problem by a recurrent neural network. According to the implementation results, the obtained path is a proper approximation of the minimum length path, especially when obstacles are not too... 

    FPGA-based Fault Injection for Evaluating the Fault Tolerance of Embedded Processors

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Abbas (Author) ; Ejlali, Alireza (Supervisor)
    Abstract
    One the most important issues in most of embedded systems is reliability and fault tolerance.Ensure of correct operation and evaluate reliability and fault tolerance of embedded proces-sors as a critical part of embedded systems, would be necessary. Fault injection is one themostly used methods for evaluating those features. Using FPGA devices is a good alterna-tive for time consuming simulation-based fault injection method because of their speed. But,there are some critical issues in FPGA-based fault injection methods which are controllabil-ity and observability. In addition to need for efficient and applicable observation and controlmechanism to handle fault injection experiments, a... 

    Surveillance radar target detection with the fourier-hough transform

    , Article 2008 International Radar Symposium, IRS, Wroclaw, 21 May 2008 through 23 May 2008 ; 2008 ; 9788372076212 (ISBN) Malek Mohammadi, M ; Moqiseh, A ; Nayebi, M. M ; Sharif University of Technology
    2008
    Abstract
    In a typical surveillance radar, decision about the existence of a target in certain range-azimuth-elevation cell is made from the echo received in current scan, while still there is useful information in history of that range cell that is not considered in decision making. Based on the potential of the Hough Transform to use history of both range and Doppler information, a new method to increase the probability of detection in surveillance radars is proposed. The new method uses a 3D data space and a special projection to detect targets and extract range, speed, and acceleration of maneuvering targets simultaneously  

    Investigating the Role of Financial Self-Efficacy in the Relationship Between Investors' Experience and the Effect of Herd Mentality on Their Decisions (Case Study: Tehran Stock Exchange)

    , M.Sc. Thesis Sharif University of Technology Malek Mohammadi, Elaheh (Author) ; Isaai, Mohammad Taghi (Supervisor)
    Abstract
    The present study has been conducted with the purpose of investigating how to reduce behavioral biases in investors' decisions, which has become very important in the recent situation of Tehran Stock Exchange and with the entry of a large number of inexperienced investors. In this research, an attempt is made to examine the relationship between investors' trading experience and the effect of herd mentality on their investment decisions through the perspective of social cognitive theory and using financial self-efficacy. Multiple regression analysis and Bootstrap mediator relationship analysis were performed on data collected from 502 active investors in the Tehran Stock Exchange, and the... 

    Investigation of Weak Measurement in Quantum Key Distribution

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Shadi (Author) ; Alireza Bahrampour (Supervisor)
    Abstract
    Quantum key distribution is one of the practical quantum information technologies in labo- ratories with existing equipments.In quantum key distribution protocols, the main challenge is the secrecy of key distribution. One of the new methods of quantum channel error esti- mation is the use of weak measurement. In this thesis, after introducing the main quantum key distribution protocols, we introduce weak measurement and sequential weak measure- ment concepts: the weak measurement methods are exployed to obtain the phase difference between two polarizations with high accuratly. It is also used for in line monitoring and error estimation parameters in some quantum key distribution protocols.... 

    Recovery of low-rank matrices under affine constraints via a smoothed rank function

    , Article IEEE Transactions on Signal Processing ; Vol. 62, Issue. 4 , 15 February , 2014 , pp. 981-992 ; ISSN: 1053587X Malek-Mohammadi, M ; Babaie-Zadeh, M ; Amini, A ; Jutten, C ; Sharif University of Technology
    2014
    Abstract
    In this paper, the problem of matrix rank minimization under affine constraints is addressed. The state-of-the-art algorithms can recover matrices with a rank much less than what is sufficient for the uniqueness of the solution of this optimization problem. We propose an algorithm based on a smooth approximation of the rank function, which practically improves recovery limits on the rank of the solution. This approximation leads to a non-convex program; thus, to avoid getting trapped in local solutions, we use the following scheme. Initially, a rough approximation of the rank function subject to the affine constraints is optimized. As the algorithm proceeds, finer approximations of the rank... 

    Upper bounds on the error of sparse vector and low-rank matrix recovery

    , Article Signal Processing ; Volume 120 , 2016 , Pages 249-254 ; 01651684 (ISSN) Malek Mohammadi, M ; Rojas, C.R ; Jansson, M ; Babaie Zadeh, M ; Sharif University of Technology
    Elsevier  2016
    Abstract
    Suppose that a solution x to an underdetermined linear system b=Ax is given. x is approximately sparse meaning that it has a few large components compared to other small entries. However, the total number of nonzero components of x is large enough to violate any condition for the uniqueness of the sparsest solution. On the other hand, if only the dominant components are considered, then it will satisfy the uniqueness conditions. One intuitively expects that x should not be far from the true sparse solution x0. It was already shown that this intuition is the case by providing upper bounds on ||x-x0|| which are functions of the magnitudes of small components of x but independent from x0. In... 

    Sparse Representation and its Applications in Multi-Sensor Problems

    , Ph.D. Dissertation Sharif University of Technology Malek-Mohammadi, Mohammad Reza (Author) ; Babaie-Zade, Massoud (Supervisor)
    Abstract
    Recovery of low-rank matrices from compressed linear measurements is an extension for the more well-known topic of recovery of sprse vectors from underdetermined measurements.Since the natural approach (i.e., rank minimization) for recovery of low-rank matrices is generally NP-hard, several alternatives have been proposed. However, there is a large gap between what can be achieved from these alternatives and the natural approach in terms of maximum rank of the unique solutions and the error of recovery. To narrow this gap, two novel algorithms are proposed. The main idea of both algorithms is to closely approximate the rank with a smooth function of singular values and then minimize the... 

    Schaefer–Krasnoselskii Fixed Point Theorems Using a Usual Measure of Weak Noncompactness

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Sajjad (Author) ; Ranjbar Motlagh, Alireza (Supervisor)
    Abstract
    In this thesis, we present some extension of Burton and Kirk fixed point theorem for the sum of two nonlinear operators, which one of them is compact and the other one is strict contraction; and we investigate the existence of fixed point where these two operators don’t need to be weakly continuous. Next, we will check the necessity of some conditions, like being strict contraction or compactness, in some specific Banach spaces, such as reflective spaces or Banach spaces equipped with uniformly convex norm.Finally, we analysis the existence of the solution for integral equations in L1 space by using the expressed theorems  

    Noncoherent integration of UWB radar signals using the hough transform

    , Article 2008 5th European Radar Conference, EuRAD 2008, Amsterdam, 30 October 2008 through 31 October 2008 ; 2008 , Pages 9-12 ; 9782874870095 (ISBN) Malek Mohammadi, M. R ; Moqiseh, A ; Gheidi, H ; Nayebi, M. M ; Sharif University of Technology
    2008
    Abstract
    Inherent properties of UWB signals prevent both coherent and noncoherent processing with conventional methods used in narrow-band RADARs. In this paper, we show how to exploit the Hough transform, first developed to detect lines in an image distorted by noise, to detect moving objects from successive scans that are corrupted by noise and clutter. We discuss why conventional methods fail to process UWB pulses noncoherently/coherently and investigate different aspects of using the Hough transform in noncoherent integration of UWB signals. Simulation results to support our approach are also presented. © 2008 EuMA  

    Experimental Study of the Effect of Divergence Angle on the Efficiency of Conical Nozzle in a Laboratory Solid Rocket Motor

    , M.Sc. Thesis Sharif University of Technology Karimi, Farhad (Author) ; Farahani, Mohammad (Supervisor) ; Mohammadi, Alireza (Co-Supervisor)
    Abstract
    Most propulsion systems use nozzles to increase the velocity of exhaust gas. Therefore, the efficiency of nozzles is important. Losses due to geometry and physical phenomena inside the nozzle define this efficiency. The length and divergence angle of the nozzle, the throat diameter, the Reynolds number, and the specifications and the combinations of fuel have a direct impact on these losses. Solid propellant rockets are widely used and today optimization of rockets is most noticeable. On the other hand, in different phases of design and optimization, empirical experiments are necessary, which are costly in real dimensions. The use of laboratory motors with specific considerations decrease... 

    Conceptual Design of a Solid Propellant Nanolauncher

    , M.Sc. Thesis Sharif University of Technology Ghadiri, Sajjad (Author) ; Farahani, Mohammad (Supervisor) ; Mohammadi, Alireza (Co-Supervisor)
    Abstract
    Nanolaunchers are launch vehicles capable of carring light payloads (under 50 kg) to Low Earth orbit and received much attention in the few past years. Launching the nanosatellites grown about 30 times from 2008 to 2017. Since this category of launch vehicles has fewer developing costs and lower thechnology level, they fit developing space technology in our country. Conversely, the demand of high propellant mass fraction and specific impulse may be a serious difficulty to attain this technology.The only operating nanolauncher in the world is SS-520-5 which belongs to Japan and is a three-stage solid propellant launcher. The goal of this project is also the conceptual design and feasiblity... 

    Experimental Study of Acceleration Effect on Combustion Chamber Pressure Field

    , M.Sc. Thesis Sharif University of Technology Goodarz, Masood (Author) ; Farahani, Mohammad (Supervisor) ; Mohammadi, Alireza (Co-Supervisor)
    Abstract
    This thesis is conducted to study acceleration effect on the burning rate augmentation of a solid propellant. A centrifugal experimental setup is designed to obtain a uniform acceleration field. An internal burning tube is used as grain, so acceleration vector is always perpendicular to burning surface of propellant. Inner radius of tube is small, so the magnitude of acceleration increases as the grain burns back. The pressure of combustion chamber was changed from 30 bar to 80 bar by changing the nozzle throat and the magnitude of acceleration changed from 2g to 60g by changing the rotational speed of SRM. Burning time of all tests was below 2 sec. due to small web of the grain. Pressure of... 

    Successive concave sparsity approximation for compressed sensing

    , Article IEEE Transactions on Signal Processing ; Volume 64, Issue 21 , 2016 , Pages 5657-5671 ; 1053587X (ISSN) Malek Mohammadi, M ; Koochakzadeh, A ; Babaie Zadeh, M ; Jansson, M ; Rojas, C. R ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2016
    Abstract
    In this paper, based on a successively accuracy-increasing approximation of the ℓ0 norm, we propose a new algorithm for recovery of sparse vectors from underdetermined measurements. The approximations are realized with a certain class of concave functions that aggressively induce sparsity and their closeness to the ℓ0 norm can be controlled. We prove that the series of the approximations asymptotically coincides with the ℓ1 and ℓ0 norms when the approximation accuracy changes from the worst fitting to the best fitting. When measurements are noise-free, an optimization scheme is proposed that leads to a number of weighted ℓ1 minimization programs, whereas, in the presence of noise, we propose... 

    A virtual testbed for studying trust in ambient intelligence environments

    , Article 2nd International Conference on Human Aspects of IT for the Aged Population, ITAP 2016 and held as a part of 18th International Conference on Human-Computer Interaction, HCI International 2016, 17 July 2016 through 22 July 2016 ; Volume 9755 , 2016 , Pages 101-111 ; 03029743 (ISSN); 9783319399485 (ISBN) Semsar, A ; Malek Makan, M ; Nazari Shirehjini, A.A ; Malek Mohammadi, Z ; Zhou, J ; Salvendy, G ; Sharif University of Technology
    Springer Verlag  2016
    Abstract
    Ambient Intelligence is a new paradigm in information technology that creates environments able to detect and respond to users’ needs, actions, behaviors and feelings. User trust plays an important role in accepting Ambient Intelligence environments. In this paper we describe the design and implementation of a virtual reality based testbed for studying trust in Ambient Intelligence Environments  

    Duty-cycle division multiplexing (DCDM)

    , Article Optics and Laser Technology ; Volume 42, Issue 2 , 2010 , Pages 289-295 ; 00303992 (ISSN) Amouzad Mahdiraji, G ; Khazani Abdullah, M ; Malek Mohammadi, A ; Abas, A. F ; Mokhtar, M ; Zahedi, E ; Sharif University of Technology
    2010
    Abstract
    A multiplexing technique, which is based on duty-cycle division, is proposed. The channel multiplexing and demultiplexing are performed electrically at the single user bit rate, which is very economic. In a three-user system (3×10 Gb/s), the simulation results show that the best receiver sensitivity value achieved is -30.1 dBm with an optical signal-to-noise ratio (OSNR) of 22.3 dB, while the chromatic dispersion tolerance ranges from 192 to 280 ps/nm. Migration from 30 to 120 Gb/s is achieved with the penalty of 6.4 and 5.2 dB in the receiver sensitivity and OSNR, respectively, for the worst user  

    Photocatalytic Degradation of Pharmaceutical Pollutants using Composites Derived from Layered Double Hydroxides and Metal-Organic Frameworks

    , M.Sc. Thesis Sharif University of Technology Hosseini, Ali (Author) ; Kazemeini, Mohammad (Supervisor) ; Khorasheh, Farhad (Supervisor) ; mohammadi, Alireza (Co-Supervisor)
    Abstract
    The aim of this study is to remove pharmaceutical pollutants through a photocatalytic approach. A layered double hydroxide (LDH) structure was synthesized with the assistance of a metal-organic framework (MOF). Initially, MIL-101(Cr) was synthesized using trivalent chromium ions and subsequently transformed into a layered double hydroxide structure with divalent nickel ions. To further enhance this process, MIL-88(Fe) was prepared using trivalent iron ions, composited with MIL-101(Cr), and then converted into an LDH structure using divalent nickel ions. The resulting photocatalytic composite was fully characterized, and its efficiency in degrading the pharmaceutical compound meropenem was... 

    The Investigation of the Effectiveness of Engine Oil Filter Particle Analysis in Enhancing the Efficiency of Diesel Engine Condition Monitoring Programs

    , M.Sc. Thesis Sharif University of Technology Samaeinejad, Saman (Author) ; Behzad, Mehdi (Supervisor) ; Masoodi, Alireza (Supervisor) ; Mohammadi, Somayeh (Co-Supervisor)
    Abstract
    Over the years, as machines have been invented, their maintenance and repair have consistently been regarded as critical concerns. Oil analysis techniques are an effective method for monitoring the condition of mechanical equipment. Since filters in these devices continually absorb and remove a significant portion of particles from the lubricant, the selection of appropriate filters is crucial. While filters positively affect machine performance, they can also negatively impact oil condition monitoring. To mitigate this negative effect and improve the predictive accuracy of equipment health monitoring, oil filter analysis was conducted. In this research, analytical ferrography tests were...