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    Methylidyne (CH*)Chemiluminescence Measurement in Sooting Flames

    , M.Sc. Thesis Sharif University of Technology Karbasi Shargh, Kamyab (Author) ; Salehi, Mohammad Mahdi (Supervisor) ; Mardani, Amir (Supervisor)
    Abstract
    In this study, using a non-interference experimental method, the chemical luminosity of CH* in co-flow diffusion flames with soot and using natural gas hydrocarbon in a laminar flow regime has been investigated. In addition to experimental research, in current research, numerical simulation has been used to extract information such as temperature field, mass fraction of species, and flow structure and comparison and validation with experimental results. Numerical simulation has been used to simulate the mechanism of CH* species formation. Two different mechanisms have been used. In addition, the Soot simulation model from the Moss-Brookes model and radiation heat transfer mechanism... 

    Structural Equation Modeling of the Effect of Transportation on Life Satisfaction by Considering the Consonance and Dissonance of the Mode Choice

    , M.Sc. Thesis Sharif University of Technology Shargh, Ali (Author) ; Kermanshah, Amir Hassan (Supervisor)
    Abstract
    Politicians and urban planners aim to improve citizens' overall life satisfaction. Researchers have offered various definitions of life satisfaction, making it difficult to provide a specific definition. However, life satisfaction can be seen as an assessment of different aspects of life. The method of travel and transportation factors undoubtedly play a crucial role in this assessment. Due to personal and social constraints, users' behavior in transportation can either may or may not align with their attitudes. This behavior leads to the categorization of users into two groups: consonant and dissonant users. Consequently, planning and policy-making to increase life satisfaction will differ... 

    Joint likelihood estimation and model order selection for outlier censoring

    , Article IET Radar, Sonar and Navigation ; Volume 15, Issue 6 , 2021 , Pages 561-573 ; 17518784 (ISSN) Karbasi, S. M ; Sharif University of Technology
    John Wiley and Sons Inc  2021
    Abstract
    This study deals with the problem of outlier censoring from the secondary data in a radar scenario, where the number of outliers is unknown. To this end, a procedure consisting of joint likelihood estimation and statistical model order selection (MOS) is proposed. Since the maximum likelihood (ML) estimation of the outlier subset requires to solve a combinatorial problem, an approximate ML (AML) method is employed to reduce the complexity. Therefore, to determine the number of outliers, different MOS criteria based on likelihood function are applied. At the analysis stage, the performance of the proposed methods is assessed based on simulated data. The results highlight that the devised... 

    Angle-incremental range estimation for FDA-MIMO radar via hybrid sparse learning

    , Article Digital Signal Processing: A Review Journal ; Volume 130 , 2022 ; 10512004 (ISSN) Karbasi, S. M ; Sharif University of Technology
    Elsevier Inc  2022
    Abstract
    In this paper, a target parameter estimation problem is addressed for the recently emerging frequency diverse array multiple-input multiple-output (FDA-MIMO) radar system, utilizing sparse learning. The scene is modeled as a two dimensional (2D) angle-incremental range grid. To solve the resulting sparse problem, the recently proposed user-parameter free algorithms including block sparse learning via iterative minimization (BSLIM), iterative adaptive approach (IAA), sparse iterative covariance-based estimation (SPICE), likelihood-based estimation of sparse parameters (LIKES), and orthogonal matching pursuit (OMP) are applied which achieve excellent parameter estimation performance. However,... 

    Distributed Optimal Control Based on an Efficient Method for Communication

    , M.Sc. Thesis Sharif University of Technology Karbasi, Ali (Author) ; Farhadi, Alireza (Supervisor)
    Abstract
    This thesis is concerned with an optimal trade-off between communication overhead and the number and size of neighborhoods in a distributed optimal control technique for large-scale systems that is based on the Jacobi iteration and two-layer architecture for communication. Although this method efficiently reduces computational overhead, continuous and proper data transfer between subsystems that are very often far from each other, is required to achieve an acceptable performance. However, limited transmission bandwidth and short communication range result in significant communication overhead. This causes significant time latency between measurement and applied calculated control actions,... 

    Combined Wrist and Forearm Movement Recognition using sEMG

    , M.Sc. Thesis Sharif University of Technology Karbasi, Hamed (Author) ; Jahed, Mehran (Supervisor)
    Abstract
    Physiotherapy is a major part of the rehabilitation process that is used to retrieve patients' physical ability. The recuperation feedback in the physiotherapy process has a twofold significance for both physiotherapists and patients. It helps patients regain their ability to recover more quickly, prevent recurrence of injury to the treated area and other areas, and motivate the patient to continue treatment. It also helps the physiotherapist to monitor the process of rehabilitation and ensure the correctness of the procedure. Meanwhile, many patients cannot maintain continuous workouts due to lack of access to the physiotherapist at home and inability to provide required feedback.In this... 

    Introducing a novel SEMG ANN-based regression approach for elbow motion interpolation

    , Article 4th IEEE International Conference on Computer and Communication Systems, ICCCS 2019, 23 February 2019 through 25 February 2019 ; 2019 , Pages 77-80 ; 9781728113227 (ISBN) Karbasi, H ; Jahed, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    Surface electromyogram (sEMG) signals are extensively used for rehabilitation and control purposes. However due to their intrinsic complexities and intense sensor crosstalk, feature classification and pattern recognition of sEMG signals especially for motion analysis are quite challenging. This study proposes a versatile sEMG Artificial Neural Network based regression approach to evaluate a simple elbow motion with respect to a reference frame. The proposed approach attempts to appropriately interpolate intermediate position angles in an attempt to evaluate and substantiate a continuous motion of the forearm. Results show that based on the proposed algorithm, with a correlation of about 91%... 

    A cyber-physical system for building automation and control based on a distributed MPC with an efficient method for communication

    , Article European Journal of Control ; Volume 61 , 2021 , Pages 151-170 ; 09473580 (ISSN) Karbasi, A ; Farhadi, A ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    This paper introduces a cyber-physical system for building automation and control that is developed based on a distributed model predictive control. The implemented distributed method significantly reduces computation overhead with respect to the centralized methods. However, continuous data transfer between subsystems, which are often far from each other, is required when using this method. Information transmission between subsystems is very often subject to the limitations of transmission bandwidth and/or short communication range resulting in significant communication overhead. This causes significant time latency between making measurements and applying control commands, which adversely... 

    Outlier Censoring Based on Sparse Signal Recovery Algorithms

    , M.Sc. Thesis Sharif University of Technology Bassak, Elaheh (Author) ; Karbasi, Mohammad (Supervisor)
    Abstract
    In today’s world, knowledge of the statistical behavior of noise can tremendously affect the accuracy of target detection in radar systems. Therefore, radar systems commonly collect a secondary dataset of homogeneous noise and estimate the statistics of the gathered data, prior to attempting target detection. Specifically, in the case of Gaussian noise with a mean of zero, the entire statistical information of the noise is encoded in its covariance matrix. In practice, however, the challenge is that the training samples do not purely contain homogeneous noise. In fact, some samples contain non-homogeneous outlier signals that do not have the same distribution as the noise samples. In this... 

    Waveform Design for Interference Mitigation in SAR Imaging and Sparse Image Recovery

    , M.Sc. Thesis Sharif University of Technology Keyhani, Erfan (Author) ; Karbasi, Mohammad (Supervisor)
    Abstract
    In this research, we design a compatible waveform for the purpose of high-quality synthetic aperture radar (SAR) imaging in conjunction with sparse recovery methods for image formation. The goal is to make the imaging system tolerable against the wide-band and narrowband electromagnetic interferences. Actually, we consider minimizing the mutual interference between our radar and coexisting licensed emitters and minimizing the jamming signal (unlicensed emitters) power while enforcing some constraints over the waveform features like peak-to-average-power ratio (PAPR). For the constrained optimization problem to design a proper waveform, we introduce a new constraint to the optimization... 

    Range-Doppler Map Generation in the Presence of Sparse Clutter for Multistatic Radar

    , M.Sc. Thesis Sharif University of Technology Haghighat, Soheil (Author) ; Karbasi, Mohammad (Supervisor)
    Abstract
    Multistatic radar has several advantages over monostatic radar (such as better detection), which are due to the use of different viewing angles and the difference in their clutter characteristics. Clutter in many applications (such as marine applications) has the property of being sparse in certain dictionaries. Therefore, the investigation of sparse clutter (such as sea clutter) is of particular importance. It is worth noting that the detection of targets in the vicinity of the sea faces difficulties due to the dynamics of the sea, which causes the Doppler spectrum to change with time and change in space. Considering the fact that the sea clutter is sparse clutter, one of the powerful... 

    Design, Manufacturing and Testing a Micro Hydro Turbine Governor Using Commercial Controller

    , M.Sc. Thesis Sharif University of Technology Karbasi Zadeh, Morteza (Author) ; Durali, Mohammad (Supervisor)
    Abstract
    Lots of micro hydropower potentials are spread all around Iran country. They have the capability to produce electricity for workhouses, residential areas, agricultural and animal husbandries and recreational tourism centers. Hence, Sharif University of Technology and Iran Water and Power Resources Development Corporation decided to design and produce three types of hydro micro turbines to cover all range of micro hydropower potentials available in Iran. These three types of micro turbines are Pelton, Banki and Axial and they are designed in order to cover high, middle and low heads in sequence. Frequency control of micro hydropower plants is so vital due to plant off-grid. The most prevalent... 

    Design of Transmit Code & Receive Filter in Radar Via Manifold Optimization

    , M.Sc. Thesis Sharif University of Technology Attar Hamidi, Farzin (Author) ; Karbasi, Mohammad (Supervisor)
    Abstract
    The problem of joint design of transmit code and receive filter is considered in many application scenarios of multiple input multiple output (MIMO) radar systems. The performance of the joint design problem is evaluated with the signal-to-interference ratio (SINR) metric in the presence of noise. In such problems, the optimization problem is to maximize SINR on the receiver side with the constraints that are applied on the transmitted waveform. Our proposed method, RTR, is a manifold-based geometric method that performs better than the SDP method in terms of algorithm execution speed and calculation complexity. For simulation, we took sampled and real TIR with Target Aspect Angle (TAA) in a... 

    The Super Resolution Algorithm Based on Attributed Scattering Model Using Multi-Band and Multi-Angle Signals

    , M.Sc. Thesis Sharif University of Technology Seyedin, Mohammad Bagher (Author) ; Karbasi, Mohammad (Supervisor)
    Abstract
    The resolution is one of the most essential factors in radar imaging. The range and cross-range resolution are inversely proportional to the radar bandwidth and the angular width, respectively. Increasing the bandwidth requires upgrading the hardware of radars and the cost of this procedure is high. Also, to increase the angular width, we need more time to scan the scene from different angles but due to reasons such as movements of targets in the scene, it is unachievable.According to these limitations, we can utilize some signal processing techniques to Improve the radar resolution. Super resolution algorithms are the common approaches to achieving this goal. In this research, we proposed a... 

    RIS-Aided DOA Estimation and Localization

    , M.Sc. Thesis Sharif University of Technology Shourezari, Ehsanollah (Author) ; Karbasi, Mohammad (Supervisor)
    Abstract
    Estimating the direction of arrival (DOA) of an impinging signal from an RF scattering object, and subsequently determining its location when there is no line-of-sight (LOS) channel between the object and receiver, is a challenging issue in sensing and wireless communication systems. This thesis presents a modified multiple signal classification (MUSIC) algorithm, utilizing a single-element receive antenna and harnessing the capabilities of reconfigurable intelligent surfaces (RIS) to tackle this issue. It is demonstrated that by leveraging massive low-cost passive elements able to reflect signals with different phase shifts in consecutive snapshots, RIS can generate linearly independent... 

    Market-based transmission expansion planning under uncertainty in bids by fuzzy assessment

    , Article Journal of Electrical Engineering and Technology ; Vol. 7, issue. 4 , 2012 , p. 468-479 ; ISSN: 19750102 Kamyab, G. -R ; Fotuhi-Firuzabad, M ; Rashidinejad, M ; Sharif University of Technology
    2012
    Abstract
    In this paper, by a simple example it is shown that existing market-based criteria alone cannot completely and correctly evaluate the transmission network expansion from market view. However criteria congestion cost (CC) and social welfare (SW) together are able to correctly evaluate transmission network from market view and so they are adopted for the market-based transmission expansion planning. To simply indicate the limits of CC and SW social welfare percentage (SWP) and congestion cost percentage (CCP) are defined. To consider uncertainty in bids of market producers and consumers, and also indeterminacy in the acceptable boundaries of the SWP and CCP and their priorities, fuzzy... 

    Market based criteria for transmission expansion planning

    , Article PECon2010 - 2010 IEEE International Conference on Power and Energy ; 2010 , p. 846-851 ; ISBN: 9781420000000 Kamyab, G ; Fotuhi-Firuzabad, M ; Rashidi-Nejad, M ; Sharif University of Technology
    2010
    Abstract
    In this paper, first, two new criteria, which are titled social welfare percent (SWP) and congestion cost percent (CCP), are defined for static transmission expansion planning in restructured power systems. Then by a simple example it will be shown that none of the already presented market-based criteria could completely and truly evaluate the transmission network expansion from market view. Hence the SWP and CCP criteria altogether are proposed to completely and truly evaluate the transmission network expansion. Then a least-investment cost expansion plan is searched that its SWP and CCP are in predefined acceptable limits. The results of applying of the proposed method are illustrated over... 

    A PSO based approach for multi-stage transmission expansion planning in electricity markets

    , Article International Journal of Electrical Power and Energy Systems ; Vol. 54, issue , 2014 , pp. 91-100 ; SSN: 01420615 Kamyab, G. R ; Fotuhi-Firuzabad, M ; Rashidinejad, M ; Sharif University of Technology
    2014
    Abstract
    This paper presents a particle swarm optimization (PSO) based approach to solve the multi-stage transmission expansion planning problem in a competitive pool-based electricity market. It is a large-scale non-linear combinatorial problem. We have considered some aspects in our modeling including a multi-year time horizon, a number of scenarios based on the future demands of system, investment and operating costs, the N - 1 reliability criterion, and the continuous non-linear functions of market-driven generator offers and demand bids. Also the optimal expansion plan to maximize the cumulative social welfare among the multi-year horizon is searched. Our proposed PSO based approach, namely... 

    Market-based transmission expansion planning under uncertainty in bids by fuzzy assessment

    , Article Journal of Electrical Engineering and Technology ; Volume 7, Issue 4 , 2012 , Pages 468-479 ; 19750102 (ISSN) Kamyab, G. R ; Fotuhi-Firuzabad, M ; Rashidinejad, M ; Sharif University of Technology
    2012
    Abstract
    In this paper, by a simple example it is shown that existing market-based criteria alone cannot completely and correctly evaluate the transmission network expansion from market view. However criteria congestion cost (CC) and social welfare (SW) together are able to correctly evaluate transmission network from market view and so they are adopted for the market-based transmission expansion planning. To simply indicate the limits of CC and SW social welfare percentage (SWP) and congestion cost percentage (CCP) are defined. To consider uncertainty in bids of market producers and consumers, and also indeterminacy in the acceptable boundaries of the SWP and CCP and their priorities, fuzzy... 

    Market based criteria for transmission expansion planning

    , Article PECon2010 - 2010 IEEE International Conference on Power and Energy, 29 November 2010 through 1 December 2010 ; 2010 , Pages 846-851 ; 9781424489466 (ISBN) Kamyab, G ; Fotuhi Firuzabad, M ; Rashidi Nejad, M ; Sharif University of Technology
    2010
    Abstract
    In this paper, first, two new criteria, which are titled social welfare percent (SWP) and congestion cost percent (CCP), are defined for static transmission expansion planning in restructured power systems. Then by a simple example it will be shown that none of the already presented market-based criteria could completely and truly evaluate the transmission network expansion from market view. Hence the SWP and CCP criteria altogether are proposed to completely and truly evaluate the transmission network expansion. Then a least-investment cost expansion plan is searched that its SWP and CCP are in predefined acceptable limits. The results of applying of the proposed method are illustrated over...