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Total 68 records

    Coupling of ANISN & MCNP Computer Codes for Neutron Importance Calculation

    , M.Sc. Thesis Sharif University of Technology Hassanzadeh, Reza (Author) ; Vosoughi, Naser (Supervisor)
    Abstract
    For many reasons the Montecarlo method is chosen for investigation of problems like shielding. Nowadays, superiority of utilizing the codes based upon Montecarlo methods such as using cross sections with continuous energy or using exact models of complex geometries, is obvious for everyone. But obtaining results with least possible variance is extremely important. variance reduction methods usedfor achieving exact results with less calculating time. Up to now in the MCNP codes, many methods have been utilized for reducing the variance. One of the methods which have recently attracted attentions is using the importance function. For obtaining importance function we need to solve the... 

    Magnetic Resonance Imaging Scan Time Reduction

    , M.Sc. Thesis Sharif University of Technology Alviri, Mohammad Reza (Author) ; Vosoughi, Naser (Supervisor) ; Vosoughi Vahdat, Bijan (Supervisor)
    Abstract
    Magnetic resonance imaging (MRI) is a highly efficient method that can provide acceptable contrast between soft tissues. But the big disadvantage of this method is that its acquisition is slow. To find the reason of being time-consuming should the procedure be surveyed. In the magnetic resonance imaging, location information obtained using phase and frequency encoding gradients. So the output is matrix of image data in the frequency domain, which is called k space. For the formation of the k space phase, need to apply gradients several times and this is the main reason of dullness of the system. Therefore, in this project using software methods try to reduce the scan time as possible. Among... 

    Developing a Methodology for Evaluating the Vulnerability of Urban Transportation Networks after an Earthquake

    , M.Sc. Thesis Sharif University of Technology Mahmoudabadi, Mahdiyeh (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    Natural disasters, earthquakes in particular, claim many human lives and damage major lifelines such as transportation networks. Transportation networks play an important role in various stages of response to disasters, such as evacuation, search, rescue and reconstruction missions. Hence, special attention must be paid to transportation networks in any disaster management system. Hence, in order to reduce the impacts of earthquakes on denser cities and metropolitan areas, analysis of the resiliency and vulnerability of critical infrastructures such as transportation network, can be used as an effective strategy.The resiliency and vulnerability of transportation network have attract a lot... 

    Iran’s Strategies to Access to China’s LNG Markets: Using Game Theory

    , M.Sc. Thesis Sharif University of Technology Ranjgari, Hossein (Author) ; Maleki, Abbas (Supervisor)
    Abstract
    This study will examine the interests of Iran in entering one of the largest and most outreaching LNG markets which is China. In order to examine these interests, understanding China's policy on importing LNG and the competitive environment in this market is necessary. First, the decision theory is used to simulate China's policy on adjusting the import mix during the demand growth period of 2011 to 2017.This provides a simulated picture of its policy on increasing demand for the 2020. Then, the behavior of other LNG exporting countries to China is analyzed using game theory approach. By analyzing the sensitivity of the parameters in which uncertainty exist, it was revealed that Iran's... 

    Economic Analysis of Energy Supply Security based on Energy Security Indices

    , Ph.D. Dissertation Sharif University of Technology Kanani Maman, Yaser (Author) ; Maleki, Abbas (Supervisor)
    Abstract
    As a problem, generally, energy security components do not interfere with the calculation of the optimal energy supply situation. In this paper, we are looking to find a solution to make a framework of the impact of energy security on energy supply in order to obtain comprehensive analysis of the economic optimal point. Method is based on the competition of energy costs to meet demand during the study period. Threats that have been addressed in the energy security are seen as risky and stochastic parameters in the model. The nature of these parameters is of uncertainty type, therefore, based on the probable scenarios of the stochastic model, the perspective of the energy supply system is... 

    When Renewable Energy R&D and Import will Support Tackling the Climate Change? Regional Analysis for OECD Countries

    , M.Sc. Thesis Sharif University of Technology Moqadassi, Zahra (Author) ; Miremadi, Iman (Supervisor) ; Khajehpour, Hossein (Supervisor)
    Abstract
    One of the actions taken to mitigate the climate change is research, development and demonstration (RD&D) investments in renewable energy technology. In addition to domestic R&D spending, the importation of foreign technologies, as a main channel of technology transfer, is another option to obtain renewable energy technologies in order to achieve climate objectives. In this study, a panel dataset of 28 OECD member countries from 2011 to 2020 is analysed, using the OLS, fixed-effects, and two-system system GMM methods, to assess the impacts of public spending on renewable energy RD&D and the import of renewable energy technologies on the energy-related CO2 emissions. To fully capture the the... 

    The Impact of Managers on Firm Performance and Policies

    , M.Sc. Thesis Sharif University of Technology Bahadori, Niloofar (Author) ; Barakchian, Mahdi (Supervisor) ; Ebrahimnejad, Ali (Supervisor)
    Abstract
    The aim of this paper is to investigate the effects of Iranian Chief Executive Managers and board of directors on the outcomes of their firms. First, by exploiting the information about changes in the combination of managers in 488 firms in Tehran Stock Exchange and Iran Fara Bourse, this study seeks to give an insight about managers’ labor market in Iran. Then, after combining these data with the obtained information from the firms’ financial statements, we run a set of regressions to identify whether managers have significant effect on the firms’ behaviors and performance. The results of this investigation show that a significant portion of changes in firms’ outcomes can be explained by... 

    Supply Chain Planning Considering Gray Markets

    , M.Sc. Thesis Sharif University of Technology Valizadeh khaki, Siavash (Author) ; Shavandi, Hassan (Supervisor)
    Abstract
    Nowadays diversion of products from authorized distribution channels to the gray markets has been considered by manufacturers. There many cases that the products of main industries are supplied through gray markets. Gray markets are divided into two categories. The first category is parallel imports where an unauthorized distributor or a third party imports the products from a low price market into a market with high price. In most researches of parallel importation it is assumed that a monopoly manufacturer distributes its products in both two markets. In the second category of parallel importation researches, it is assumed that the manufacturer distributes the products in a certain market... 

    Investigating and Estimating the Relation between Import tariff Rate and Smuggling in Iran

    , M.Sc. Thesis Sharif University of Technology Larijani, Saeed (Author) ; Vesal, Mohammad (Supervisor) ; Memarnezhad, Abbas (Co-Advisor)
    Abstract
    Governments use tariff and non-tariff import barriers for several reasons including protecting national industries, tax income and or checking the quality of imported products. These barriers motivate importers to make a profit through smuggling. This study focuses on “import tariff rate” as a main motivation for smuggling and tries to estimate the elasticity of smuggling with respect to tariff rates. Iran trade flow data and tariff rates are collected from Trademap, WITS, Iran’s customs administration and Iran’s Trade Development Organization. By observing reported exports to Iran from main trade partners together with reported imports to Iran we construct a proxy for the amount of... 

    A Survey on Conversion Coefficient of Relative Lateral Displacement of Linear Analysis to Real Relative Lateral Displacement of Structure

    , M.Sc. Thesis Sharif University of Technology Akhavan Sigari Yazd, Mohammad Hossein (Author) ; Khaloo, Ali Reza (Supervisor)
    Abstract
    In recent years, displacement is more considered in comparison with force in design of structures. For example in 2800 standard -3rd edition- it is stated that for the reason that real displacement of structure in linear analysis is not calculable; it is necessary to resonate the lateral displacement of elastic analysis with a coefficient which is related to behavior coefficient of structure. This displacement should be less than allowable limit that is noted in the code. In similar foreign codes importance factor is also noted beside behavior factor in calculation of real lateral displacement of structure. Evaluation of this coefficient for different structures, comparison with suggested... 

    Network Coding for Distributed Storage System

    , M.Sc. Thesis Sharif University of Technology Hosseini Sohei, Maryam (Author) ; Movaghar Rahimabadi, Ali (Supervisor)
    Abstract
    Network coding is realized to have great potential for improving the performance of uncoordinated distributed networked storage, and also cooperative content distribution networks (Peer-to-Peer networks). In these kinds of systems, file is stored or dispensed in blocks which can be the coded version of the original blocks of the file. The existing network coding scheme in P2P networks (Avalanche) finds coding opportunities and uses them in forwarding en-coded blocks through the network. This scheme uses the swarming technique and network coding together, in a single transmission, and consequently, it achieves several fold increase in the throughput of P2P networks. In this thesis, we have... 

    Evaluating The Efficiency of Machine Learning Methods for Variance-Based Sensitivity Analysis in Hydrological Models

    , M.Sc. Thesis Sharif University of Technology Khanjani, Mohammad (Author) ; Sheikholeslami, Razi (Supervisor)
    Abstract
    It is inevitable to simulate the phenomena that govern nature to make decisions and policies on water and environmental issues. Therefore, researchers have tried to make a good prediction of water's quantitative and qualitative status by using modeling and computer processing power. One of the primary and essential issues in modeling is using sensitivity analysis techniques. Using this knowledge, much information will be obtained on how to influence the model's output regarding various factors such as parameters, input data, and initial and boundary conditions. Global sensitivity analysis based on variance as one of the most well-known and, at the same time, the most widely used sensitivity... 

    Probabilistic Safety Assessment of A UF6 Production Process

    , M.Sc. Thesis Sharif University of Technology Ebrahimi, Behrooz (Author) ; Ghofrani, Mohammad Bagher (Supervisor)
    Abstract
    Identification of different hazards in a UF6 production process, and evaluation of the risk originated from these hazards is the main objective of this project. A number of hazards are present in a typical UF6 production process, such as leakage of chemical gases like HF and F2 and also radioactive UF6 gas release. In order to evaluate risk due to these hazards, probabilistic approach has been used. Due to lack of probabilistic safety criteria (PSC) for chemical releases, only for UF6 gas release risk assessment has been done. As a first step in PSA of this process eight groups of initiating events have been identified using HAZOP study, and for each initiating event, event tree analysis... 

    Safety Assessment for H2S Releasing in Arak Heavy Water Factory (GS(03) Plant) Using Probabilistic Safety Assessment Method (PSA)

    , M.Sc. Thesis Sharif University of Technology Maddahzadeh Zoghi, Alireza (Author) ; Ghofrani, Mohammad Bagher (Supervisor)
    Abstract
    In general, release of hazardous gas in chemical process plants could be due to two reasons. First is failures due to degradation of components that have inventory of hazardous gas in standard process conditions, and the second is deviation of system from standard process conditions because of different failure modes of related components, e.g. controller equipments. The purpose of this study is, calculating the probability of H2S releasing in GS(03) plant of Arak Heavy Water factory, using PSA methods and its risk assessment. At First, fifteen groups of initiating events were identified with Hazop study for desired system. Then, for calculating the frequency of each event, the combination... 

    Offering a New Method to Determine Failure Rate of a System's Subsystems

    , M.Sc. Thesis Sharif University of Technology Noroozian, Ali (Author) ; Eshraghniaye Jahromi, Abdolhamid (Supervisor)
    Abstract
    Determining the failure rate or reliability of a system's subsystems, is an important and influential stage which is noteworthy not only in design and in manufacture phases but also in improvement phase. This process is called reliability allocation in literature. Reliability allocation guarantees more reliable and competitive product. The consequence of considering this phase in designing a product is to improve designing and manufacturing methods. As a result, it is possible to gain cheap and reliable product while is compatible with costumer's demands. Many factors and parameters which exist in the process of reliability allocation, have caused it to complicated process. A number of... 

    Effects Monetary Policy on Base Metals Return

    , M.Sc. Thesis Sharif University of Technology Bakhshizadeh, Mohsen (Author) ; Barakchian, Mahdi (Supervisor)
    Abstract
    The commodity market as a noteworthy section of the capital market plays a prominent role in the economy of a nation. Base metals, which are widely utilized as industrial raw materials, account for a part of the costs imposed on a nation’s economy. Hence the price levels and volatility of such metals have been under close observation by the capital markets and in the process of monetary policy. In this research we investigate the impacts of the monetary policy of the Federal Reserve on the return of base metals based on daily data and also on the stock return of the corporates which are associated with these metals by using intraday data. This poster employs Federal Funds Futures Contracts... 

    Voltage control of three phase inverters by using active disturbance rejection control

    , Article 30th Power System Conference, PSC 2015, 23 November 2015 through 25 November 2015 ; 2017 , Pages 169-176 ; 9781509027057 (ISBN) Mehrabankhomartash, M ; Toulabi, M. R ; Ranjbar, A. M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2017
    Abstract
    Control of three phase inverters is of paramount importance in the realm of control applications. In this regard, this paper proposes active disturbance rejection control (ADRC) scheme as a new method for voltage control of three phase inverters in UPS applications. The main advantage of ADRC refers to the fact that it is model independent. In this paper, the controller is composed of a double loop structure including an inner current loop and outer voltage loop. This structure is used in a three phase inverter in order for implementation of voltage control. To draw a comparison between ADRC and PI as the common control method, a case study has been simulated in SIMULINK. Simulation results... 

    Viral cascade probability estimation and maximization in diffusion networks

    , Article IEEE Transactions on Knowledge and Data Engineering ; 28 May , 2018 ; 10414347 (ISSN) Sepehr, A ; Beigy, H ; Sharif University of Technology
    IEEE Computer Society  2018
    Abstract
    People use social networks to share millions of stories every day, but these stories rarely become viral. Can we estimate the probability that a story becomes a viral cascade If so, can we find a set of users that are more likely to trigger viral cascades These estimation and maximization problems are very challenging since both rare-event nature of viral cascades and efficiency requirement should be considered. Unfortunately, this problem still remains largely unexplored to date. In this paper, given temporal dynamics of a network, we first develop an efficient viral cascade probability estimation method, VICE, that leverages an special importance sampling approximation to achieve high... 

    Viral cascade probability estimation and maximization in diffusion networks

    , Article IEEE Transactions on Knowledge and Data Engineering ; Volume 31, Issue 3 , 2019 , Pages 589-600 ; 10414347 (ISSN) Sepehr, A ; Beigy, H ; Sharif University of Technology
    IEEE Computer Society  2019
    Abstract
    People use social networks to share millions of stories every day, but these stories rarely become viral. Can we estimate the probability that a story becomes a viral cascade? If so, can we find a set of users that are more likely to trigger viral cascades? These estimation and maximization problems are very challenging since both rare-event nature of viral cascades and efficiency requirement should be considered. Unfortunately, this problem still remains largely unexplored to date. In this paper, given temporal dynamics of a network, we first develop an efficient viral cascade probability estimation method, ViCE, that leverages an special importance sampling approximation to achieve high... 

    Using nano-QSAR to determine the most responsible factor(s) in gold nanoparticle exocytosis

    , Article RSC Advances ; Volume 5, Issue 70 , 2015 , Pages 57030-57037 ; 20462069 (ISSN) Bigdeli, A ; Hormozi Nezhad, M. R ; Parastar, H ; Sharif University of Technology
    Royal Society of Chemistry  2015
    Abstract
    There are, to date, few general answers to fundamental questions related to the interactions of nanoparticles (NPs) with living cells. Studies reported in the literature have delivered only limited principles about the nano-bio interface and thus the biological behavior of NPs is yet far from being completely understood. Combining computational tools with experimental approaches in this regard helps to precisely probe the nano-bio interface and allows the development of predictive and descriptive relationships between the structure and the activity of nanomaterials. In the present contribution, a nano-quantitative structure-activity relationship (nano-QSAR) model has been statistically...