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    Laws and Lawmakers

    , M.Sc. Thesis Sharif University of Technology Mirbeygi, Ali (Author) ; Karbasi Zadeh, Amir Ehsan (Supervisor)
    Abstract
    In Laws and Lawmakers: Science Metaphysics and the laws of nature, Mark Lang has presented an engagingly written, tightly argued, and novel philosophical account of the laws of nature. One of the intuitions behind the notion of a law of nature is, roughly, that of the many regularities we observe in the world there are some which appear to be due to mere happen-stance(“accidental” regularities, in the philosopher’s jargon)while others, which we call “laws,” seem to be possessed of a degree of necessity. although many philosophers, and certainly most scientists, will readily agree that there is a difference between logical, law-like, and accidental regularities, spelling out the nature of... 

    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... 

    Probabilistic optimal power dispatch in multi-carrier networked microgrids under uncertainties

    , Article Energies ; Volume 10, Issue 11 , 2017 ; 19961073 (ISSN) Amir, V ; Jadid, S ; Ehsan, M ; Sharif University of Technology
    2017
    Abstract
    A microgrid (MG) is a small-scale version of the power system which makes possible the integration of renewable resources as well as achieving maximum demand side management (DSM) utilization. The future power system will be faced with severe uncertainties owing to penetration of renewable resources. Consequently, the uncertainty assessment of system performance is essential. The conventional energy scheduling in an MG may not be suitable for active distribution networks. Hence, this study focuses on the probabilistic analysis of optimal power dispatch considering economic aspects in a multi-carrier networked microgrid. The aim is to study the impact of uncertain behavior of loads, renewable... 

    Optimal planning of a multi-carrier microgrid (MCMG) considering demand-side management

    , Article International Journal of Renewable Energy Research ; Volume 8, Issue 1 , 2018 , Pages 238-249 ; 13090127 (ISSN) Amir, V ; Jadid, S ; Ehsan, M ; Sharif University of Technology
    International Journal of Renewable Energy Research  2018
    Abstract
    The multi-carrier microgrid (MCMG) is a restricted district comprising convertors and energy storage systems (ESSs) that are used to fulfill various energy demands. The structure and optimal operation of these MCMGs with regard to fulfilling multi-carrier demands are presented in relation to their rapid spread. In this paper, a two-stage optimum planning and design method for an MCMG is presented in the planning horizon. The investment and operation (fuel and maintenance) costs are considered concurrently to find the optimal type and size of components over the planning horizon. At the first stage, the genetic algorithm (GA) is applied to determine the optimal type and size of components,... 

    Operation of multi-carrier microgrid (MCMG) considering demand response

    , Article Journal of Operation and Automation in Power Engineering ; Volume 7, Issue 1 , 2019 , Pages 119-128 ; 23224576 (ISSN) Amir, V ; Jadid, S ; Ehsan, M ; Sharif University of Technology
    University of Mohaghegh Ardabili, Faculty of Electrical Engineering  2019
    Abstract
    In this paper, the operation of a future distribution network is discussed under the assumption of a multi-carrier microgrid (MCMG) concept. The new model considers a modern energy management technique in electricity and natural gas networks based on a novel demand side management (DSM) which the energy tariff for responsive loads are correlated to the energy input of the network and changes instantly. The economic operation of MCMG is formulated as an optimization problem. In conventional studies, energy consumption is optimized from the perspective of each infrastructure user without considering the interactions. Here, the interaction of energy system infrastructures is considered in the... 

    Operation of networked multi-carrier microgrid considering demand response

    , Article COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering ; Volume 38, Issue 2 , 2019 , Pages 724-744 ; 03321649 (ISSN) Amir, V ; Jadid, S ; Ehsan, M ; Sharif University of Technology
    Emerald Group Publishing Ltd  2019
    Abstract
    Purpose: Microgrids are inclined to use renewable energy resources within the availability limits. In conventional studies, energy interchange among microgrids was not considered because of one-directional power flows. Hence, this paper aims to study the optimal day-ahead energy scheduling of a centralized networked multi-carrier microgrid (NMCMG). The energy scheduling faces new challenges by inclusion of responsive loads, integration of renewable sources (wind and solar) and interaction of multi-carrier microgrids (MCMGs). Design/methodology/approach: The optimization model is formulated as a mixed integer nonlinear programing and is solved using GAMS software. Numerical simulations are... 

    Design and Implementation of an Access Control Mechanism Based on SBAC

    , M.Sc. Thesis Sharif University of Technology Ehsan, Amir Mousa (Author) ; Jalili, Rasoul (Supervisor)
    Abstract
    In order to control accesses in semantic environments, a semantic-based access control and policy specification language should be choosen. Upon to them, some security mechanisms should be designed and implemented. Several access control models and policy specification languages have been arisen, but seldom have focused on designing mechanisms to satisfy their models in any environment. In this thesis, we focus on implementation aspects of access control in semantic environments. We chose semantic web as our studying environment and an extension of the SBAC model named MA(DL)2 as our access control model. To control accesses in the selected environment, we divide semantic web into some... 

    Dispositional Essentialism and its Contradiction with Humean Metaphysics

    , M.Sc. Thesis Sharif University of Technology Ghafari, Shahryar (Author) ; Karbasizade, Amir Ehsan (Supervisor)
    Abstract
    In recent decades one neo-Aristotelian school in metaphysics has appeared that with reconstruction on concept of "potency" or "power" try to explain metaphysical problems as: properties ,causation, laws of nature ,modalities and … .this school contradict all classical views in analytic metaphysics ,because they have commitment to Humean metaphysics that all metaphysical categories supervene on distinct particular facts in nature. Dispositional essentialism is one neo-Aristotelian theory saying that some natural properties have dispositional essence. In strong view of this theory, identity of properties supervenes on the structure of a network of properties and therefore properties are... 

    Hume on Causation

    , M.Sc. Thesis Sharif University of Technology Yonesi, Fatemeh (Author) ; Karbasizadeh, Amir Ehsan (Supervisor)
    Abstract
    The Concept of causation plays a major role in Hume’s philosophy and as yet has been debated between philosophers. This Thesis aims to Consider the main part of Hume’s view about Causation, but it also Ventutes into more recent approaches in this subject. In first chapter, we attend to Consider The project of Hume named "Seience of man" and The associative mechanism of causation is expressed. In Second chapter, We turn to three famous interpretations of Hume’s view and the meaning of two definitions of Causation is discussed. In third chapter, we try to analyse the real nature of necessary Connection. According to fourth chapter, we again attend to three interpretations and recognize the... 

    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... 

    Identical Particles

    , M.Sc. Thesis Sharif University of Technology Heydari Fard, Sahar (Author) ; Karbasizade, Amir Ehsan (Supervisor)
    Abstract
    Modern physics and the standard metaphysical point of view, together, result a contradiction which we will explore its roots in this thesis. Be- sides, focusing on various identifications of individuality and the prin- ciple of identity of indiscernibles will made us to choose between to metaphysical and equal pockets, Particles as individuals and particles as non-individuals.Physics alone could not help to choose between these too pockets. Therefore, we will face a metaphysical under-etermination which we have to break in order to save our realistic ontological com-mitments. By a breif study among the possible ways for breaking that underdetermination, structural realism will be the most... 

    Sober On Intelligent Design

    , M.Sc. Thesis Sharif University of Technology Kolahdoozha, Mahdieh (Author) ; Miandari, Hassan (Supervisor) ; Karbasizadeh, Amir Ehsan (Supervisor)
    Abstract
    Intelligent design theory is based on this idea that Darwinian theory of evolution can not explain Irreducibly complexities in organisms. Intelligent design theory in explaining these complexities conclude the existence of an intelligent designer. It is claimed that by remaining officially agnostic about the nature of the designer, intelligent design theory can be offered as a scientific claim, rather than a religious one, which could make it a viable alternative to Darwinism. In this thesis we study sober's point of view on intelligent design. Sober believes that, initially, we shoud present the strongest formulation of intelligent design theory and then evaluating whether this theory is a... 

    Life Cycle Environmental Assessment of Polyethylene Process/Multiobjective Optimization

    , M.Sc. Thesis Sharif University of Technology Shayannezhad، Amir Shayannezhad (Author) ; Farhadi, Fatollah (Supervisor) ; Vafa, Ehsan (Supervisor)
    Abstract
    The environmental impacts of chemical processes significantly affect the design of these processes and emphasize issues such as changing the reaction path, separation methods, thermal integration, and finally multi-objective optimization. Therefore, it is necessary to investigate the influence of environmental indicators in the design of chemical processes. The background system in this assessment includes two process units, olefin and polyolefin. Environmental impacts assessment has been carried out using the ReCiPe endpoint method (an efficient method for life cycle impact assessment that will be described in chapter 2) and these impacts have been determined in the form of damage to human... 

    Bus Routing on Printed Circuit Boards

    , M.Sc. Thesis Sharif University of Technology Ahmadinejad, Amir Mahdi (Author) ; Zarrabi Zadeh, Hamid (Supervisor)
    Abstract
    recent years, by the huge increase in the number of components on a board, the bus routing problem and minimizing the number of layers of a board has emerged as a significant challenge in designing Printed Circuit Boards (PCBs). Two related theoretical problems to bus routing are the Rectangle Escape Problem (REP) and the maximum independent set of rectangles problem where both of these problems are NP-hard in the general form. In this thesis we study some variants of these problems and try to improve the running time or approximation factor of the best algorithms previously provided for solving them. The maximum disjoint set of boundary rectangles problem is a variant of the maximum... 

    Dynamic Modeling of a Bubble Column Bioreactor Using Hybrid Neural Networks

    , M.Sc. Thesis Sharif University of Technology Alishahi, Amir Hosein (Author) ; Pishvaie, Mahmoud Reza (Supervisor) ; Vafa, Ehsan (Supervisor)
    Abstract
    With the daily increasing demand for energy, we are facing many crises, such as environmental pollution and global warming, etc. Geopolitical issues can also lead to problems for some countries in reaching the energy demand considered in their development plan of them. For this purpose, a part of the global research is focused on removing these obstacles. One of the methods that can be used to produce cleaner fuel, or more precisely "biofuel", is the gaseous fermentation of synthesis gas by microorganisms and algae. A rod-shaped, anaerobic microorganism called Clostridium ljungdahlii uses synthesis gas for its reproduction. In other words, this bacterium can ferment carbon monoxide, carbon... 

    Ricci Curvature on Graphs

    , M.Sc. Thesis Sharif University of Technology Naghibi, Ali (Author) ; Esfahani Zadeh, Mostafa (Supervisor) ; Daneshgar, Amir (Supervisor)
    Abstract
    In the present study, the Ricci curvature is defined on the graphs by using two methods and the lower bounds are obtained. In the first method, which is related to Bakry and Emery, a definition for Ricci curvature and lower bounds would be obtained by using Curvature-Dimension inequalities.The second method which is related to Ollivier, is based on the fact that in Riemannian Geometry,the Ricci Curvature controls the velocity of convergence and divergence of emanated geodesics from a same source. Next, the more Curvature-Dimension inequalities for Ricci curvature would be obtained by using local clustering. Finally, the Bonnet-Myers theorem would be proved on the graphs.
     

    Discrete Exterior Calculus

    , M.Sc. Thesis Sharif University of Technology Ebrahimi, Esmail (Author) ; Esfahani Zadeh, Mostafa (Supervisor) ; Daneshgar, Amir (Supervisor)
    Abstract
    In this thesis, a discrete exterior calculus is studied. Discrete exterior calculus is an attempt to create a discrete analogy of differential geometry and topology which is potentially applicable in computer science and physics. At first, simplicial complexes are presented as approximation of smooth manifolds. Then discrete forms and discrete exterior derivative are defined. We will observe that Stokes, theorem can be stated and proved in discrete analogy too. We will obtain Hodge operator by using dual complex and after that discrete Laplacian and Heat kernel will be calculated by using Hodge operator. In addition, we will define discrete vector field independent of discrete forms and then... 

    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,... 

    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%...