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    Reliability assessment of some high side MOSFET drivers for buck converter

    , Article 2013 3rd International Conference on Electric Power and Energy Conversion Systems, EPECS 2013, Istanbul ; 2013 ; 9781479906888 (ISBN) Javadian, V ; Kaboli, S ; Sharif University of Technology
    2013
    Abstract
    Nowadays power electronic devices have a wide usage in the industries and different electrical equipment for power conditioning. As a point of view, reliability is one of important figure of merits that should be considered to have long life time and also have more probability to do exactly the proposed mission. In this paper some methods are presented to improve the reliability of power electronic components. Also some methods of system reliability improvement are reviewed. One group of converters is DC-DC step down converter which is used in different applications such as battery charger and voltage regulator. In this paper as an example, reliability of a DC-DC step down converter with... 

    Simulation of Interaction between Aquifer and Surface Flow for Different Water Resources Utilization Scenarios (Case Study : Urmia Plain)

    , M.Sc. Thesis Sharif University of Technology Javadian, Mostafa (Author) ; Tajrishy, Masoud (Supervisor)
    Abstract
    The level of water at Lake Urmia has decreased dramatically in the last two decades. Lake-Urmia basin is one of the regions in which most of the consumption of water is based on groundwater resources. The annual withdrawal of groundwater in the Urmia Plain is about 468 MCM which is the highest rate of water extraction throughout the basin. In this research, interaction between surface and groundwater flow is simulated using MODFLOW and remote-sensing. METRIC algorithm is used for estimating the amount of recharge to groundwater. The model is calibrated in 24 months of 2008 and 2009. The results show that the main input to the aquifer is the return flow of agricultural lands and the main... 

    UALM: unsupervised active learning method for clustering low-dimensional data

    , Article Journal of Intelligent and Fuzzy Systems ; Volume 32, Issue 3 , 2017 , Pages 2393-2411 ; 10641246 (ISSN) Javadian, M ; Bagheri Shouraki, S ; Sharif University of Technology
    2017
    Abstract
    In this paper the Unsupervised Active Learning Method (UALM), a novel clustering method based on the Active Learning Method (ALM) is introduced. ALM is an adaptive recursive fuzzy learning algorithm inspired by some behavioral features of human brain functionality. UALM is a density-based clustering algorithm that relies on discovering densely connected components of data, where it can find clusters of arbitrary shapes. This approach is a noise-robust clustering method. The algorithm first blurs the data points as ink drop patterns, then summarizes the effects of all data points, and finally puts a threshold on the resulting pattern. It uses the connected-component algorithm for finding... 

    Design of DC-DC Buck Converter Based on Reliability Considerations

    , M.Sc. Thesis Sharif University of Technology Javadian Jazy, Vahid (Author) ; Kaboli, Shahriyar (Supervisor)
    Abstract
    Nowadays power electronic devices have a wide usage in the industries for power conditioning. As a point of view, reliability is one of the most important figure of merits that should be considered to have long life time and also have more probability to do exactly the proposed mission. One of the widely used converter topologies is DC-DC step down converter which is used in different applications such as battery charger and voltage regulator. In this project, a step down DC-DC converter with Buck topology is designed with reliability consideration. Failure rate of power components are predicted based on MIL-HDBK-217. In addition, failure rate of auxiliary components of power devices are... 

    Developing Hierarchical Active Learning Method Framework for Complex Systems Analysis

    , Ph.D. Dissertation Sharif University of Technology Javadian, Mohammad (Author) ; Bagheri Shouraki, Saeed (Supervisor)
    Abstract
    In recent decades, the science of studying complex systems has started to evolve and mature. Complex systems research is becoming ever more important in both the natural and social sciences. The study of mathematical complex system models is used for many scientific questions poorly suited to the traditional mechanistic conception provided by science. Examples of complex systems are Earth's global climate, organisms, the human brain, social organization, an ecosystem, a living cell, and ultimately the entire universe. Motivations for studying complex and self-organized systems can be somewhat divided between science, or attempts to understand such systems, and engineering, or attempts to... 

    Fuzzy linear programming with grades of satisfaction in constraints

    , Article Iranian Journal of Fuzzy Systems ; Volume 6, Issue 3 , 2009 , Pages 17-35 ; 17350654 (ISSN) Javadian, N ; Maali, Y ; Mahdavi Amiri, N ; Sharif University of Technology
    2009
    Abstract
    We present a new model and a new approach for solving fuzzy linear programming (FLP) problems with various utilities for the satisfaction of the fuzzy constraints. The model, constructed as a multi-objective linear programming problem, provides flexibility for the decision maker (DM), and allows for the assignment of distinct weights to the constraints and the objective function. The desired solution is obtained by solving a crisp problem controlled by a parameter. We establish the validity of the proposed model and study the effect of the control parameter on the solution. We also illustrate the efficiency of the model and present three algorithms for solving the FLP problem, the first of... 

    A novel density-based fuzzy clustering algorithm for low dimensional feature space

    , Article Fuzzy Sets and Systems ; 2016 ; 01650114 (ISSN) Javadian, M ; Bagheri Shouraki, S ; Sheikhpour Kourabbaslou, S ; Sharif University of Technology
    Elsevier B.V  2016
    Abstract
    In this paper, we propose a novel density-based fuzzy clustering algorithm based on Active Learning Method (ALM), which is a methodology of soft computing inspired by some hypotheses claiming that human brain interprets information in pattern-like images rather than numerical quantities. The proposed clustering algorithm, Fuzzy Unsupervised Active Learning Method (FUALM), is performed in two main phases. First, each data point spreads in the feature space just like an ink drop that spreads on a sheet of paper. As a result of this process, densely connected ink patterns are formed that represent clusters. In the second phase, a fuzzifying process is applied in order to summarize the effects... 

    METRIC and WaPOR estimates of evapotranspiration over the Lake Urmia basin: Comparative analysis and composite assessment

    , Article Water (Switzerland) ; Volume 11, Issue 8 , 2019 ; 20734441 (ISSN) Javadian, M ; Behrangi, A ; Gholizadeh, M ; Tajrishy, M ; Sharif University of Technology
    MDPI AG  2019
    Abstract
    Evapotranspiration is one of the main components of water and energy balance. In this study, we compare two ET products, suitable for regional analysis at high spatial resolution: The recent WaPOR product developed by FAO and METRIC algorithm. WaPOR is based on ETLook, which is a two-source model and relies on microwave images. WaPOR is unique as it has no limitation under cloudy days, but METRIC is limited by clouds. METRIC and WaPOR are more sensitive to land surface temperature and soil moisture, respectively. Using two years (2010 and 2014) of data over Lake Urmia basin, we show that in most areas, ET from METRIC is higher than WaPOR and the difference has an ascending trend with the... 

    A novel density-based fuzzy clustering algorithm for low dimensional feature space

    , Article Fuzzy Sets and Systems ; Volume 318 , 2017 , Pages 34-55 ; 01650114 (ISSN) Javadian, M ; Bagheri Shouraki, S ; Sheikhpour Kourabbaslou, S ; Sharif University of Technology
    2017
    Abstract
    In this paper, we propose a novel density-based fuzzy clustering algorithm based on Active Learning Method (ALM), which is a methodology of soft computing inspired by some hypotheses claiming that human brain interprets information in pattern-like images rather than numerical quantities. The proposed clustering algorithm, Fuzzy Unsupervised Active Learning Method (FUALM), is performed in two main phases. First, each data point spreads in the feature space just like an ink drop that spreads on a sheet of paper. As a result of this process, densely connected ink patterns are formed that represent clusters. In the second phase, a fuzzifying process is applied in order to summarize the effects... 

    A clustering fuzzification algorithm based on ALM

    , Article Fuzzy Sets and Systems ; Volume 389 , 2020 , Pages 93-113 Javadian, M ; Malekzadeh, A ; Heydari, G ; Bagheri Shouraki, S ; Sharif University of Technology
    Elsevier B.V  2020
    Abstract
    In this paper, we propose a fuzzification method for clusters produced from a clustering process, based on Active Learning Method (ALM). ALM is a soft computing methodology which is based on a hypothesis claiming that human brain interprets information in pattern-like images. The proposed fuzzification method is applicable to all non-fuzzy clustering algorithms as a post process. The most outstanding advantage of this method is the ability to determine the membership degrees of each data to all clusters based on the density and shape of the clusters. It is worth mentioning that for existing fuzzy clustering algorithms such as FCM the membership degree is usually determined as a function of... 

    Removal of Cr(VI) by modified brown algae Sargassum bevanom from aqueous solution and industrial wastewater

    , Article Journal of the Taiwan Institute of Chemical Engineers ; Volume 44, Issue 6 , 2013 , Pages 977-989 ; 18761070 (ISSN) Javadian, H ; Ahmadi, M ; Ghiasvand, M ; Kahrizi, S ; Katal, R ; Sharif University of Technology
    2013
    Abstract
    The aim of this research work is to investigate sorption characteristic of acid treated brown algae Sargassum bevanom (acid treated S. bevanom) for the removal of Cr(VI) ions from aqueous solutions. The acid-treated alga was prepared by transferring the S. bevanom into 0.5. M HCl and then stirring the mixture at 300. rpm for 6. h at room temperature. The sorption of Cr(VI) ions by batch method is carried out. The optimum conditions of biosorption were found to be: a biomass dose of 0.7. g in 100. ml of Cr(VI), contact time of 110. min and pH 3, respectively. In optimum condition, removal efficiency was 89.64%. It was found that temperature has a positive effect on the removal efficiency.... 

    Comparison of using formaldehyde and carboxy methyl chitosan in preparation of Fe3O4 superparamagnetic nanoparticles-chitosan hydrogel network: Sorption behavior toward bovine serum albumin

    , Article Process Safety and Environmental Protection ; Volume 102 , 2016 , Pages 119-128 ; 09575820 (ISSN) Sadeghi, M ; Hanifpour, F ; Taheri, R ; Javadian, H ; Ghasemi, M ; Sharif University of Technology
    Institution of Chemical Engineers  2016
    Abstract
    A novel and cost effective method of bio-separation developed recently is magnetic separation technology. In this study, super paramagnetic Fe3O4 nanoparticles are used for separation of bovine serum albumin (BSA) protein from plasma/serum samples at optimized conditions. The synthesis of chitosan hydrogel networks by two variant approaches that involve (1) crosslinking of chitosan with formaldehyde and (2) formation of carboxy methyl chitosan mediated complex, was investigated and the percent of gelation, swelling ratio and equilibrium water content were calculated. The results revealed the formation of better quality hydrogel from the first approach. In step 1, to quantify the BSA... 

    Mo (IV) adsorption from nitric acid media by Di-(2-ethylhexyl) phosphoric acid (D2EHPA) coated silanized magnetite nanoparticles

    , Article Journal of Molecular Liquids ; Volume 218 , 2016 , Pages 346-353 ; 01677322 (ISSN) Agarwal, S ; Tyagi, I ; Gupta, V. K ; Hanifpour, F ; Maghsudi, M ; Javadian, H. R ; Sharif University of Technology
    Elsevier  2016
    Abstract
    Di-(2-ethylhexyl) phosphoric acid coated silanized magnetite nanoparticles were applied for the rapid removal and fast adsorption of molybdenum ions from simulated nitric acid solutions. The characterization of the developed adsorbent was carried out using various analytical techniques such as Transmission electron microscopy (TEM), X-ray diffraction pattern (XRD) and Fourier transform infrared spectroscopy (FT-IR). The Transmission electron microscopy photographs showed that the silanized magnetite nanoparticles were roughly spherical in shape and the average size of these particles is very close to the average size of bare magnetite particles. The binding of silane polymer and... 

    Construction of an Experimental Device for Foaming Agent and an Experimental Study of the Properties of Foaming Agent

    , M.Sc. Thesis Sharif University of Technology Mohammad Karami (Author) ; Bazargan, Mohammad (Supervisor)
    Abstract
    The primary purpose of acidizing operations in the oil and gas industry is to enhance hydrocarbon production. Acidizing has been a common and conventional method for years, especially when production engineers face issues like declining reservoir pressure leading to reduced production rates. Initially, the treatment solution is referred to as matrix acidizing. In acidizing operations, different additives are combined with the acid to control its behavior in the reservoir. These additives may include iron control agents, corrosion inhibitors, friction reducers, and more. Incompatibility among these additives, the acid, and reservoir fluids can lead to severe damage to the reservoir.... 

    Numerical Analysis of An Annular Gas Turbine Combustor

    , M.Sc. Thesis Sharif University of Technology Gandomi, Mohammad Hossein (Author) ; Farshchi, Mohammad (Supervisor)
    Abstract
    The goal of this research is the simulation of the annular combustion chamber of the turbine engine utilized by liquid fuel. The achievement to this goal will lead to create numerical tools for parametric study, analysis and combustion chamber designing.For this reason simple geometry has been considered. This simplicity of geometry causes to facilitate in parametric study and decrease in saving time for modeling and meshing. This combustion chamber is a simplified model of engine CF6. In recent study, the k – ε realizable model has been used for turbulence modeling. For non-adiabatic condition, chemical reaction is dissolved by utilizing probability density function along with laminar... 

    A misbehavior‐tolerant multipath routing protocol for wireless Ad hoc networks [electronic resource]

    , Article International Journal of Research in Wireless Systems (IJRWS) ; Vol. 2, Issue 9, pp. , Sep. 2013 Sedghi, H. (Haniyeh) ; Pakravan, Mohammad Reza ; Aref, Mohammad Reza ; Sharif University of Technology
    Abstract
    Secure routing is a major key to service maintenance in ad hoc networks. Ad hoc nature exposes the network to several types of node misbehavior or attacks. As a result of the resource limitations in such networks nodes may have a tendency to behave selfishly. Selfish behavior can have drastic impacts on network performance. We have proposed a Misbehavior-Tolerant Multipath Routing protocol (MTMR) which detects and punishes all types of misbehavior such as selfish behavior, wormhole, sinkhole and grey-hole attacks. The protocol utilizes a proactive approach to enforce cooperation. In addition, it uses a novel data redirection method to mitigate the impact of node misbehavior on network... 

    Theoretical and Experimental Study to Conversion of AUC to UO2 by Microwave Heating

    , Ph.D. Dissertation Sharif University of Technology Labbaf, Mohammad Hossein (Author) ; Otukesh, Mohammad (Supervisor) ; Ghannadi Maragheh, Mohammad (Co-Advisor) ; Ghasemi, Mohammad Reza (Co-Advisor)

    SAR Imaging Using the TomoSAR Technique to Resolve Multiple Scatterers

    , M.Sc. Thesis Sharif University of Technology Omati, Mohammad Mahdi (Author) ; Bastani, Mohammad Hassan (Supervisor) ; Karbasi, Mohammad (Co-Supervisor)
    Abstract
    During the last few years, the study of urban environment structures is considered as a research field of interest in remote sensing. In satellite observations of the earth's surface, continuous imaging in terms of time and space has caused the remote sensing technique to be proposed as a useful and efficient tool for the analysis of urban areas. Obtaining quantitative spatial information from the urban environment in fields such as determining the height of buildings plays an essential role in urban planning, monitoring damage to buildings, establishing communication bases and digital cities. During the last two decades, the use of Tomosar approach in order to reconstruct the structures of... 

    Estimating Possible Effects of Subsidies in Competition and Development of Fixed Broadband Internet

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Mohammad Ali (Author) ; Vesal, Mohammad (Supervisor) ; Rahmati, Mohammad Hossein (Supervisor)
    Abstract
    In this work, the dynamic competition between firms providing internet services is studied. The framework is Markov equilibrium whereby structural parameters are obtained using two-step estimations, allowing for analyzing the situation in case of subsidies for service upgrade. The results show that such subsidy has little effect on the number of firms while increasing the number of fast firms  

    Estimating Price Elasticity of Natural Gas Demand in Iran's Residential Sector: A Regression Discontinuity Approach

    , M.Sc. Thesis Sharif University of Technology Makhsousi, Mohammad Hossein (Author) ; Rahmati, Mohammad Hossein (Supervisor) ; Vesal, Mohammad (Supervisor)
    Abstract
    Estimating the price elasticity of gas demand involves complexities depending on the gas market structure and pricing mechanisms in different countries. Distinguishing between supply and demand shocks and block pricing are among the main challenges that can cause endogeneity in elasticity estimates. Iran's domestic gas network, one of the largest and most extensive household gas markets, is divided into five climatic zones based on weather conditions. The pricing steps for these five climates during the five cold months are such that a customer in a warmer climate pays higher prices. Conversely, the pricing steps for the seven warm months are the same for all climates. This policy creates a...