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    Advances in heuristic signal processing and applications

    , Book ; Chatterjee, Amitava ; Nobahari, Hadi ; Siarry, Patrick
    Springer  2013
    Abstract
    There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and multidimensional signal processing, namely image and video processing, with the recent focus changing from a step-by-step procedure of designing the algorithm first and following up with in-depth analysis and performance improvement to instead applying heuristic-based methods to solve signal-processing problems. In this book the contributing authors demonstrate both general-purpose algorithms and those aimed at solving specialized application problems, with a special emphasis on heuristic iterative optimization methods employing modern evolutionary and swarm... 

    Ant colony algorithm for the shortest loop design problem [electronic resource]

    , Article Computers and Industrial Engineering, Elsevier ; Volume 50, Issue 4, August 2006, Pages 358–366 Eshghi, K. (Kourosh) ; Kazemi, Morteza ; Sharif University of Technology
    Abstract
    In this paper, a new algorithm for solving the shortest loop design problem is presented. The shortest loop design problem is to find the shortest loop for an automated guided vehicle covering at least one edge of each department of a block layout. In this paper, first it is shown that this problem can be represented as a graph model. The properties of the presented model enable us to design a meta-heuristic based on ant colony system algorithm for solving the shortest loop design problem. Computational results show the efficiency of our algorithm in compare to the other techniques  

    Propositional attitudes as commitments: unleashing some constraints

    , Article Dialogue-Canadian Philosophical Review ; Volume 59, Issue 3 , 2020 , Pages 437-457 Kazemi, A ; Sharif University of Technology
    Cambridge University Press  2020
    Abstract
    In a series of articles, Asbjorn Steglich-Petersen and Nick Zangwill argue that, since propositional attitude (PA) ascription judgements do not behave like normative judgements in being subject to a priori normative supervenience and the Because Constraint, PAs cannot be constitutively normative.1 I argue that, for a specific version of normativism, according to which PAs are normative commitments, these arguments fail. To this end, I argue that commitments and obligations should be distinguished. Then, I show that the intuitions allegedly governing all normative judgements do not even purport to hold for commitment-attributing judgements. Copyright © Canadian Philosophical Association 2020  

    Commitment, norm-governedness and guidance

    , Article Acta Analytica ; 2020 Kazemi, A ; Sharif University of Technology
    Springer  2020
    Abstract
    A number of philosophers have argued that there is a basic problem in the no-guidance argument against content normativism. The problem is that the argument restricts the essential normativity of intentional states to the formation of these states being guided by certain norms. But it is suggested that the essential norm-governedness of intentional states can be equally plausibly construed as the assessability of these states by norms, which does not imply complying with them. Although I concur with the problem diagnosed in the no-guidance argument, I take issue with the alternative conception of normativity which is put forward. In its stead, I argue that considering intentional states as... 

    Still committed to the normativity of folk psychology

    , Article Philosophical Explorations ; Volume 25, Issue 1 , 2022 , Pages 58-74 ; 13869795 (ISSN) Kazemi, A ; Sharif University of Technology
    Routledge  2022
    Abstract
    In what sense can one claim that intentional explanations are essentially normative, given that people’s actions and thinking are replete with various irrationalities, yet are still pretty well explained by this explanatory framework? This article provides a novel response to this enduring objection. First, following Brandom, it is suggested that, to understand the normativity of intentional states, we should countenance and distinguish between two normative categories of commitment and entitlement, only the former of which is argued to be essential for intentional explanations. Conflating these two normative dimensions is noted to be one of the main sources of the objections leveled against... 

    Causal relations and abraham’s dilemma: a Qur’anic perspective

    , Article Sophia ; Volume 61, Issue 2 , 2022 , Pages 309-318 ; 00381527 (ISSN) Kazemi, A ; Sharif University of Technology
    Springer Science and Business Media B.V  2022
    Abstract
    Abraham’s Dilemma is the conjunction of three jointly inconsistent propositions: (i) God’s commands are never morally wrong, (ii) God has commanded Abraham to kill his innocent son, and (iii) killing innocent people is morally wrong. Drawing on an overlooked point from the Qur’an regarding the content of the command as well as a conceptual analysis of intentional action, this paper proposes a novel solution to the dilemma by discarding proposition (ii) in a new way. Current approaches to rejecting proposition (ii) tend to appeal to epistemic failure on the side of Abraham. In my approach, which draws on the so-called accordion effect in intentional action, God’s command is interpreted in... 

    Causal relations and abraham’s dilemma: a Qur’anic perspective

    , Article Sophia ; 2021 ; 00381527 (ISSN) Kazemi, A ; Sharif University of Technology
    Springer Science and Business Media B.V  2021
    Abstract
    Abraham’s Dilemma is the conjunction of three jointly inconsistent propositions: (i) God’s commands are never morally wrong, (ii) God has commanded Abraham to kill his innocent son, and (iii) killing innocent people is morally wrong. Drawing on an overlooked point from the Qur’an regarding the content of the command as well as a conceptual analysis of intentional action, this paper proposes a novel solution to the dilemma by discarding proposition (ii) in a new way. Current approaches to rejecting proposition (ii) tend to appeal to epistemic failure on the side of Abraham. In my approach, which draws on the so-called accordion effect in intentional action, God’s command is interpreted in... 

    Commitment, norm-governedness and guidance

    , Article Acta Analytica ; Volume 36, Issue 2 , 2021 , Pages 213-228 ; 03535150 (ISSN) Kazemi, A ; Sharif University of Technology
    Springer Science and Business Media B.V  2021
    Abstract
    A number of philosophers have argued that there is a basic problem in the no-guidance argument against content normativism. The problem is that the argument restricts the essential normativity of intentional states to the formation of these states being guided by certain norms. But it is suggested that the essential norm-governedness of intentional states can be equally plausibly construed as the assessability of these states by norms, which does not imply complying with them. Although I concur with the problem diagnosed in the no-guidance argument, I take issue with the alternative conception of normativity which is put forward. In its stead, I argue that considering intentional states as... 

    Still committed to the normativity of folk psychology

    , Article Philosophical Explorations ; 2021 ; 13869795 (ISSN) Kazemi, A ; Sharif University of Technology
    Routledge  2021
    Abstract
    In what sense can one claim that intentional explanations are essentially normative, given that people’s actions and thinking are replete with various irrationalities, yet are still pretty well explained by this explanatory framework? This article provides a novel response to this enduring objection. First, following Brandom, it is suggested that, to understand the normativity of intentional states, we should countenance and distinguish between two normative categories of commitment and entitlement, only the former of which is argued to be essential for intentional explanations. Conflating these two normative dimensions is noted to be one of the main sources of the objections leveled against... 

    Parallel Multi-disciplinary Design Optimization of a Guided Flying Vehicle

    , M.Sc. Thesis Sharif University of Technology Darabi, Davoud (Author) ; Nobahari, Hadi (Supervisor)
    Abstract
    Multi-disciplinary design optimization (MDO) of a surface to air flying vehicle has been done in this research, on the basis of flight simulation. The MDO problem have five disciplines consists of aerodynamic, propulsion, guidance, control, and fire control. Multiple campaign scenarios are defined. The MDO problem has 31 design variables and two objective functions. The objective functions are flying vehicle weight and miss distance. A new meta-heuristic algorithm has been designed to solve multi-objective optimization problems. The new algorithm has been called Multi-objective Adaptive Real-coded Memetic Algorithm (MARCOMA). The MARCOMA can solve large-scale and multi-objective problems and... 

    Synthesis and Characterization of PVDF Magnetic Nanocomposite

    , M.Sc. Thesis Sharif University of Technology Hadi, Mina (Author) ; Forounchi, Massoud (Supervisor)
    Abstract
    PVDF (polyvinylidene fluoride) magnetic nanocomposite films were prepared by solution casting using two types of nanomagnetic particles: (i) magnetic nanoparticles synthesized by using an alkaline solution of mixed ferrous/ferric salts along with oleic acid as a coating agent at 70˚C; (ii) Fe3O4 nanoparticles prepared by hydrolysis of aqueous solution of ferrous/ferric salts with potassium hydroxide at room temprature. Scanning electron microscopy (SEM) showed that the PVDF magnetic nanocomposite had a porous structure with Fe3O4 nanoparticles dispersed inside the porous polymer matrix. The presence of crystalline magnetite within the polymer matrix was confirmed by X-Ray diffraction method... 

    Development of Integrated Model of the Wastewater and Organic Solid Waste Flows to Minimize Environmental Impacts and Maximize Energy Recovery for a Residential Building

    , M.Sc. Thesis Sharif University of Technology Hadi, Hamid (Author) ; Avami, Akram (Supervisor)
    Abstract
    Nowdays much of the organic solid waste and wastewater is buried using centralized and traditional methods. This leads to many problems, including groundwater pollution, methane emissions into the atmosphere and rapid transmission of disease. In order to avoid these problems, using a decentralized approach can be a good solution. In this study, recovery of organic waste and wastewater of residential buildings using anaerobic digester as a decentralized way, have been examined. Using experiments, the optimum mass ratio of organic solid waste and wastewater is obtained as 80% and 20% respectively. Biogas production model is developed using mass balance and Balance of electrons in redox... 

    Adaptive Model Predictive Control Applied to Online Automatic Landing of Fixed Wing UAV

    , M.Sc. Thesis Sharif University of Technology Harami, Mohammad (Author) ; Nobahari, Hadi (Supervisor)
    Abstract
    The problem that we will solve in this thesis is the automatic landing using model predictive control. Due to the large growth in the use of fixed wing UAVs and the challenges faced by these type of UAVs with respect to other types of UAVs, in this project, the automatic landing of a UAV will be studied in the presence of variable uncertainties with time that will be considered in the modeling. The airplan is assumed to have inertial sensors, gps, speedometer and altimeter. The innovation of the thesis is that until now, Adaptive Model Predictive Control has not been used to control the fixed wing UAV landing. One of the weaknesses in Model Predictive Control is the loss of performance in... 

    Developing a Heuristic Filter Utilizing Firefly Optimization Algorithm: A Case Study on State Estimation of a Slung Payload from a Quadrotor

    , M.Sc. Thesis Sharif University of Technology Raoufi, Mohsen (Author) ; Nobahari, Hadi (Supervisor)
    Abstract
    The aim of the present thesis is to develop a novel heuristic filter by utilizing Firefly Optimization Algorithm for state estimation of nonlinear, non-Gaussian systems. The proposed filter formulates the estimation problem as a dynamic, stochastic one. The swarm intelligence of the fireflies enables the filter to find and track the best estimation. To estimate the states of a system, the model of the system is required. Hence, an 8-DoF quadrotor with slung payload system, as a case study, is modeled by the tensor method. In this case, as a highly nonlinear system, in order not to rely on extra sensors for monitoring swing-angle, the estimation of payload states is needed. In this regard,... 

    Development and Implementation of Multiple Model Filters for Online Identification and Compensation of Atmospheric Disturbances in Automatic Landing of Fixed Wing UAV

    , Ph.D. Dissertation Sharif University of Technology Sharifi, Alireza (Author) ; Nobahari, Hadi (Supervisor)
    Abstract
    In this study, a multiple model wind estimator is proposed to detect the wind type and to estimate the wind components as well as the states of a fixed-wing UAV without any direct measurement of the air data. Then, the identified wind model and the estimated states are compensated in the heuristic nonlinear model predictive controller during landing phase. For this purpose, a static multiple model approach is taken, comprised of four independent extended Kalman filters, each one is estimating the wind based on one of the four wind models including a constant wind, a “1-cosine” model, a wind shear and a microburst.Moreover, a new heuristic multiple model filter, called Multiple Model Extended... 

    Dynamic Modelling and Nonlinear Control of a Hybrid Powered Hexarotor for Precise Trajectory Tracking

    , M.Sc. Thesis Sharif University of Technology Saadat, Sepehr (Author) ; Nobahari, Hadi (Supervisor)
    Abstract
    In this Thesis, an unmanned multicopter with a new structure is modeled and a nonlinear controller is designed for it to track the trajectories precisely. The multicopter in this thesis, has six propellers with a hybrid propulsion system (a combination of fuel and electric propulsion system) that has the ability to carry more payload and maintain more flight duration compared to electric multicopters. In the beginning, the performance characteristics and technical specifications of the hexacopter are presented. For modeling, first the equations of six degrees of freedom movement of the hexacopter are derived by the Newton-Euler method. In the next step, the forces and torques applied to the... 

    A New Method for Integrated Controller and Observer Design of a Nonlinear System Using Genetic Programming

    , M.Sc. Thesis Sharif University of Technology Khosroabadi, Saleh (Author) ; Nobahari, Hadi (Supervisor)
    Abstract
    The purpose of this paper is to design an integrated controller and observer (ICO) for a nonlinear system using genetic programming. ICO is a function that constructs control command directly from the measured state variables of the system. It means that, this function should imitate the behavior of the observer and controller and control the system with acceptable performance in different initial conditions, at the presence of disturbances and system uncertainties. The complexity of this design method, is not related to the complexity of the plant, in fact, the complexity in plant just effects at run time, but the design procedure does not change. So, if exact model of plant exist, using... 

    Attitude Control of a 3DOF Quadrotor Stand Using Intelligent Back-stepping Approach

    , M.Sc. Thesis Sharif University of Technology Abeshtan, Peyman (Author) ; Nobahari, Hadi (Supervisor)
    Abstract
    In this research a novel intelligent back-stepping control method is developed. This method is robust to sensor noise and external disturbances. In addition, the controller is robust under model uncertainty. This controller does not need precise knowledge of system parameters. This method is based on three methods of: back-stepping control, least squares estimation and a fuzzy compensator. This controller is used to control quadrotor stand witch is like an inverse pendulum. In quadrotor stand modeling, the inverse pendulum effect is considered too, witch is one of the innovations of the research. By doing various simulations, the validity of controller is tested. Also the performance of the... 

    A Model Predictive Differential Game Guidance Algorithm for Precise Trajectory Tracking of a Fixed Wing UAV

    , M.Sc. Thesis Sharif University of Technology Asghari, Javad (Author) ; Nobahari, Hadi (Supervisor)
    Abstract
    This research presents three new guidance laws for trajectory tracking of an unmanned aerial vehicle in the presence of wind disturbances. The first method is a linear combination of line-of-sight and velocity-pursuit guidance laws, the parameters of which are tuned using a fuzzy system in an online manner. The second method is an adaptive optimal guidance law based on the differential game theory. The third method (main method) is a model predictive guidance law based on the differential game theory. In the main method, linear point mass equations of motion are used to predict the future path of the vehicle. Also, the linear model predictive control is used to achieve an optimal analytical... 

    Energy Aware Routing Algorithm with SDN in Data Center Networks

    , M.Sc. Thesis Sharif University of Technology Hadi, Azhar (Author) ; Koohi, Somayyeh (Supervisor)
    Abstract
    It is well known that data centres consume high amounts of energy, which has become a major concern in the field of cloud computing. Therefore, energy consumption could be reduced by using intelligent mechanisms work to adapt the set of network components to the total traffic volume. SDN is an efficient way to do so because it has many benefits over traditional approaches, such as centralised management, low capex, flexibility, scalability and virtualisation of network functions. In our work will we use the heuristic energy-aware routing (HEAR) model, which is composed of the proposed heuristic algorithm and the energy-aware routing algorithm. This work identifies the unused links and...