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    Control of resistance spot welding using model predictive control

    , Article 9th International Conference on Electrical and Electronics Engineering, 26 November 2015 through 28 November 2015 ; 2015 , Pages 864-868 ; 9786050107371 (ISBN) Hemmati, M ; Haeri, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    Nowadays, the need for industrial processes with sufficient accuracy, efficiency, and flexibility to compete world markets is inevitable. On the other hand, the advent of control techniques and increased computation power of CPUs allow implementation of complex controllers using optimization techniques to provide higher efficiency and economic productivity. Model predictive control refers to a wide range of optimization-based control methods applying explicit models to predict its prospective use. These methods of control compute control signal by minimizing the cost function so that the process output becomes very close to the optimal path. In this paper, we use a new model predictive... 

    Self-reconfiguration in highly available pervasive computing systems

    , Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 June 2008 through 25 June 2008, Oslo ; Volume 5060 LNCS , 2008 , Pages 289-301 ; 03029743 (ISSN) ; 3540692940 (ISBN); 9783540692942 (ISBN) Hemmati, H ; Jalili, R ; Sharif University of Technology
    2008
    Abstract
    High availability of software systems is an essential requirement for pervasive computing environments. In such systems self-adaptation, using dynamic reconfiguration is also a key feature. However, dynamic reconfiguration potentially decreases the system availability by making parts of the system temporary frozen, especially during incomplete or faulty execution of the reconfiguration process. In this paper, we propose Assured Dynamic Reconfiguration Framework (ADRF), consisting of run-time analysis phases, assuring the desired correctness and completeness of dynamic reconfiguration process. We also specify factors that affect availability of reconfigurable software in pervasive computing... 

    Extracting Proper Features for Human Detection in Still Images

    , M.Sc. Thesis Sharif University of Technology Mozafari, Azadeh Sadat (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    Human detection in still images is one of the hardest problems in object detection area. There are several challenges like articulation, pose variation, variant clothing, none uniform illumination, cluttered background and occlusion which make this problem more sophisticated than any other object detection problem. The general solution for this kind of problems is based on supervised learning that contains two main parts: 1-extracting proper features, 2- using proper classifier. The main focus of this thesis is on the first part, extracting proper features, which should be robust to mentioned challenges. Based on the level of extraction we can divide the features to four groups: 1-low-level,... 

    Domain Adaptation Using Source Classifier for Object Detection

    , Ph.D. Dissertation Sharif University of Technology Mozafari, Azadeh Sadat (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    Detection degradation caused by distribution discrepancy between the training and testing domains is a common problem in object detection systems. The difference between training and testing domains’ distribution mainly happenes because of the different ways of collecting and gathering data. For instance, datasets which have images with different illumination, view point, resolution, background and are obtained by different acquisition systems, have variance in distribution. The solution toward improving the detection rate of the classifier trained on training (source) domain when it is applied on testing (target) domain is to use Domain Adaptation (DA) techniques. One of important branches... 

    Anti-reflection and self-cleaning meso-porous TiO2 coatings as solar systems protective layer: Investigation of effect of porosity and roughness

    , Article Optical Materials ; Volume 107 , 2020 Sharifi Rad, A ; Afshar, A ; Azadeh, M ; Sharif University of Technology
    Elsevier B.V  2020
    Abstract
    Anti-reflection and self-cleaning coatings on the glass substrate are used to improve the performance of solar systems. TiO2 are one of the most used semiconductors for this application. In this research meso-porous TiO2 coatings (that synthesized by the sol-gel process) with the various extent of porosity (using different concentrations of Pluronic F127, as pore-forming agent) have been investigated. The coating's thickness and porosity and anti-reflective properties were studied by FE-SEM and UV/VIS spectrometer (transmission spectra test), respectively. It was found that the use of F127 leads to the formation of pores smaller than 30 nm and increases the surface roughness from 1.5 (for... 

    Processing algorithm for a strapdown gyrocompass

    , Article Scientia Iranica ; Volume 19, Issue 3 , 2012 , Pages 774-781 ; 10263098 (ISSN) Hemmati, M ; Massoumnia, M. A ; Sharif University of Technology
    2012
    Abstract
    The problem of gyrocompassing using inertial sensors, i.e., gyros and accelerometers, is addressed. North finding, with an order of accuracy of one arc-min, is not only required for the initial alignment of inertial navigation systems, but also has a critical role to play in the guidance and navigation of ships that navigate for long periods of time. In this work, after extracting the error model of an inertial navigation system and augmenting it with the error model of inertial sensors, a processing algorithm based on the Kalman filter is designed and simulated to process the navigation system velocity error, and to estimate and correct tilt and heading errors along with gyro drifts and... 

    Identification of Damage Type and Location in Reinforced Concrete Piers of Slab– Beam Bridges Using Numerical Methods

    , M.Sc. Thesis Sharif University of Technology Hemmati, Omid (Author) ; Ahmadizadeh, Mahdi (Supervisor)
    Abstract
    Bridges are among the crucial elements of transportation networks, and play an important role in facilitating emergency relief efforts following earthquakes. For this reason, it is emparative to monitor their damages to ensure about their performace in earthquakes. The structure of a bridge is divided into two parts, namely the superstructure and substructure. Due to the relatively high rigidity and strength of superstructures, most of structural damage is usually concentrated in substructures, which may ultimately affect the overall stability of the bridge. Therefore, assessing the level of damage in the substructure is of utmost concern. This research attempts to evaluate the damage in the... 

    Manipulation of Electronic Structure in Boron Nitride Nanosheets to Improve Catalytic and Photocatalytic Properties

    , M.Sc. Thesis Sharif University of Technology Hemmati, Amir (Author) ; Simchi, Abdolreza (Supervisor)
    Abstract
    The variety of 2D materials and their wide range of properties, as well as numerous methods to manipulate them, have made this class of materials among prominent candidates for the future of the energy industry. Among the means available to tailor nanomaterials performance for such applications, introducing dopants and the creation of heteroatom-doped structures are of great interest. In this study, mixtures of urea, boric acid, and graphene oxide, as cheap and available precursors, were used to synthesize C-doped h-BN nanosheets. After the implementation of TGA/DSC to select a suitable calcination temperature of 950 C°, the samples were successfully synthesized with relatively precise... 

    A hybrid simulation-adaptive network based fuzzy inference system for improvement of electricity consumption estimation

    , Article Expert Systems with Applications ; Volume 36, Issue 8 , 2009 , Pages 11108-11117 ; 09574174 (ISSN) Azadeh, A ; Saberi, M ; Gitiforouz, A ; Saberi, Z ; Sharif University of Technology
    2009
    Abstract
    This paper presents a hybrid adaptive network based fuzzy inference system (ANFIS), computer simulation and time series algorithm to estimate and predict electricity consumption estimation. The difficulty with electricity consumption estimation modeling approach such as time series is the reason for proposing the hybrid approach of this study. The algorithm is ideal for uncertain, ambiguous and complex estimation and forecasting. Computer simulation is developed to generate random variables for monthly electricity consumption. Various structures of ANFIS are examined and the preferred model is selected for estimation by the proposed algorithm. Finally, the preferred ANFIS and time series... 

    Single-inductor dual-output DC/DC converter with capability of feeding a constant power load in open-loop manner

    , Article IEEE Transactions on Industrial Electronics ; 2018 ; 02780046 (ISSN) Azadeh, Y ; Babaei, E ; Tarzamni, H ; Sabahi, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2018
    Abstract
    In this paper, a single-inductor dual-output (SIDO) DC/DC converter is proposed. The significant feature of the proposed converter is feeding a constant power load in low voltage side (LVS) port, where even feeding a variable load at LVS doesn't have any cross regulation to high voltage side port with the desired approximation. Magnificently, both merits are obtained in open-loop manner which is an outstanding characteristic in comparison with existed converters. In this paper, soft commutation and soft switching of switches and diodes are investigated along with the aforementioned main novelty. Moreover, detailed theoretical analyses of the proposed SIDO DC/DC converter in continuous... 

    Designing a Robot Head for Studying Social Interaction with the Ability to Express Emotions Using a Projector

    , M.Sc. Thesis Sharif University of Technology Mokhtari, Mohammad (Author) ; Meghdari, Ali (Supervisor) ; Shariati, Azadeh (Supervisor)
    Abstract
    The most crucial physical component in human-robot interaction is the head of the robot, which may have the potential to interact via representing facial expressions. There are several different types of robotic heads. This thesis presents the design process and realization of a retro-projected social robotic head, “Taban”. Taban is a cost-effective portable robot with a lifelike robotic face which can produce different facial expressions, different 3D face animation avatars (ranging from different ages, races, and gender) with the help of rear-projector in its head to projects animations onto a translucent 3D printout mask. It has a neck system with two degrees of freedom, a camera in the... 

    Local T-Spanners with Respect to a Family of Convex Regions

    , M.Sc. Thesis Sharif University of Technology Mousavi, Azadeh Sadat (Author) ; Abam, Mohammad Ali (Supervisor)
    Abstract
    A geometric network on a set V of points in d-dimensional Euclidean space is a weighted undirected graph G(V,E) with vertex set V such that the weight of an edge is the Euclidean distance between its endpoints. We say that the geometric network G(V,E) is a t-spanner of V, for a t > 1, if for each pair of points u and v in V there exists a path in G between u and v of length at most t times the Euclidean distance between u and v. In this thesis, we introduce the new concept of local t-spanners and present some algorithms to construct these geometric graphs. Suppose Gc(V ) is a complete graph and F is a family of convex regions, for instance set of half planes, squares and circles. The graph... 

    Designing Polymeric Biomaterials based on Polysaccharides with Tissue Adhesion and Hemostasis Performance

    , M.Sc. Thesis Sharif University of Technology Shokrani, Hanieh (Author) ; Mashayekhan, Shohreh (Supervisor) ; Kordzadeh, Azadeh (Co-Supervisor)
    Abstract
    Death can be the result of severe bleeding which is associated with the loss of a high amount of blood like what happens in accidents, wars, or operations. Classic methods to stop bleeding are mostly ineffective to decrease the hemostasis time and the volume of the lost blood. A wide variety of products like powders, foams, and hydrogels have been designed and synthesized either from natural or synthetic polymers. However, limitations like weak tissue adhesion, creating a moist environment in the wound site, infection, weak biodegradation, and hemolysis still have remained. Among the existing options to be used as hemostasis agents, polysaccharides can be appropriate considering their great... 

    Evaluation of ascorbic acid-loaded calcium phosphate bone cements: Physical properties and in vitro release behavior

    , Article Ceramics International ; Vol. 40, issue. 3 , April , 2014 , pp. 3961-3968 ; ISSN: 02728842 Hemmati, K ; Hesaraki, S ; Nemati, A ; Sharif University of Technology
    2014
    Abstract
    In this study, different concentrations of ascorbic acid (50, 100 and 200 μg/mL) were added to the liquid phase of a calcium phosphate cement (CPC). The cements were immersed in simulated body fluid (SBF) for different intervals and physical, physicochemical and mechanical properties of them were evaluated. The release of added ascorbic acid from CPCs into the SBF solution was also studied. From the results, both setting time and injectability of CPC decreased by adding ascorbic acid, however the compressive strength was sharply increased before soaking in SBF solution. But, the compressive strength values of all cements (with or without ascorbic acid) soaked in SBF solution for more than 7... 

    System modeling and optimization for islanded micro-grid using multi-cross learning-based chaotic differential evolution algorithm

    , Article International Journal of Electrical Power and Energy Systems ; Vol. 56 , 2014 , pp. 349-360 ; ISSN: 01420615 Hemmati, M ; Amjady, N ; Ehsan, M ; Sharif University of Technology
    2014
    Abstract
    This paper presents a comprehensive operation model for micro-grids (MG) operating in the islanded mode. Various energy sources of a MG including diesel engine generator, micro-turbine, wind turbine and photovoltaic cell as well as battery storage and AC/DC rectifier/inverter are modeled in the proposed framework. Fuel costs, emission costs, and operation and maintenance (O&M) costs of these sources as well as their operating limits and characteristics are considered in the model. Furthermore, a new multi-cross learning-based chaotic differential evolution (MLCDE) algorithm is presented to solve the optimization problem of MG operation. The numerical results obtained from the proposed... 

    On the convergence of heterogeneous reinforcement learning private agents to nash equilibrium in a macroeconomic policy game

    , Article Australian Journal of Basic and Applied Sciences ; Volume 5, Issue 7 , 2011 , Pages 491-499 ; 19918178 (ISSN) Hemmati, M ; Nili, M ; Sadati, N ; Sharif University of Technology
    2011
    Abstract
    A repeated inflation-unemployment game within the linear-quadratic frame-work of Barro and Gordon is studied assuming that the government would like to cheat optimally and the finite heterogeneous population of private agents attempts to learn the government's targets using a reinforcement learning algorithm. Private agents are heterogeneous in their initial expectations of inflation rate but are assumed to utilize an identical anticipatory reinforcement learning process, namely Q-learning. In our heterogeneous setting, the only way for the private agents to achieve a zero value for their loss function, is for all of them to correctly anticipate the Nash equilibrium. It is of particular... 

    Application of Worm-Like Micelles for Heavy Oil Recovery: Experimental and Modeling

    , M.Sc. Thesis Sharif University of Technology Hemmati, Nasim (Author) ; Ghaznafari, Mohammad Hossein (Supervisor)
    Abstract
    Surfactants are widely used in enhancing oil recovery. But application of worm-like micelles which seem to be a perfect candidate for enhancing heavy oil recovery have been less studied despite their significant ability in reducing interfacial tension and their high viscosity. This research consists of three parts. In the first part, the kinetic and equilibrium adsorption of surfactant on reservoir rock is experimentally investigated, and its appropriate kinetic and equilibrium adsorption model is specified. According to the adsorption models, the pseudo second order kintic coefficient of adsorption is proved to have a linear relationship with concentration, so its value at different... 

    Reinforcement learning of heterogeneous private agents in a macroeconomic policy game

    , Article Lecture Notes in Economics and Mathematical Systems ; Volume 645 , 2010 , Pages 215-226 ; 00758442 (ISSN) ; 9783642139468 (ISBN) Hemmati, M ; Nili, M ; Sadati, N ; Sharif University of Technology
    2010
    Abstract
    A repeated inflation-unemployment game within the linear-quadratic framework of Barro and Gordon is studied assuming that the government would like to cheat optimally and the finite heterogeneous population of private agents attempts to learn the government's targets using a reinforcement learning algorithm. Private agents are heterogeneous in their initial expectations of inflation rate but are assumed to utilize an identical anticipatory reinforcement learning process, namely Q-learning. In our heterogeneous setting, the only way for the private agents to achieve a zero value for their loss function, is for all of them to correctly anticipate the Nash equilibrium. It is of particular... 

    Towards a bounded-rationality model of multi-agent social learning in games

    , Article 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, Cairo, 29 November 2010 through 1 December 2010 ; 2010 , Pages 142-148 ; 9781424481354 (ISBN) Hemmati, M ; Sadati, N ; Nili, M ; Sharif University of Technology
    2010
    Abstract
    This paper deals with the problem of multi-agent learning of a population of players, engaged in a repeated normal-form game. Assuming boundedly-rational agents, we propose a model of social learning based on trial and error, called "social reinforcement learning". This extension of well-known Q-learning algorithm, allows players within a population to communicate and share their experiences with each other. To illustrate the effectiveness of the proposed learning algorithm, a number of simulations on the benchmark game of "Battle of Sexes" has been carried out. Results show that supplementing communication to the classical form of Q-learning, significantly improves convergence speed towards... 

    Design & Manufacture of IGF/DGF Plant in Semi Industrial Scale for Wastewater Separation

    , M.Sc. Thesis Sharif University of Technology Hemmati, Amir Hossein (Author) ; Ghotbi, Siroos (Supervisor)
    Abstract
    The increasing demand for energy forced to production of oil as one of the main sources of energy. Along with the increase in oil production, the proportion of water produced with oil is increasing relative to the oil produced. On the other hand, environmental restrictions for the discharge of industrial effluents into the environment are becoming more and more stringent every day. Before discharging the effluent into the environment, petroleum must be removed. The complexity of these issues demonstrates the need to develop new technologies and improve the efficiency of existing technologies. Gas flotation are among the technologies adopted in the field that have been used throughout the...