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    Synthesis and Characterization of a Copper Catalyst for Low Temperature Water –Gas Shift Reaction

    , M.Sc. Thesis Sharif University of Technology Rafiee Renani, Mansoureh (Author) ; Khorasheh, Farhad (Supervisor) ; Khandan, Nahid (Co-Advisor)
    Abstract
    Water Gas Shift (WGS) reaction is an old reaction in which syngas is used for producing Hydrogen. At the present time, the major application of this reaction is in fuel cells, since the necessary Hydrogen for these cells is provided by this reaction.
    The present study investigate the influence of different preparation methods on properties of Cu-ZnO/Al2O3 catalyst for water gas shift (WGS) reaction, which is now known as the Commercial catalyst for low temperature WGS, and its influence on performance of Cu-ZnO/Al2O3 catalyst to derive an optimal Cu-ZnO/Al2O3 catalyst for water gas shift (WGS) reaction. Cu-ZnO/Al2O3 catalysts was synthesized by CP, DP, DP-Ultra, IWI , CP-Urea, and... 

    A New Method for Measuring very Low Variation in Physical Parameters based on the Sensitivity to Conditions of Chaotic Systems

    , M.Sc. Thesis Sharif University of Technology Seddighi Renani, Jamal (Author) ; Zohoor, Hasan (Supervisor)
    Abstract
    Since the beginning of human civilization, improving the methods of measuring and identifying changes in order to improve the level of comfort and safety of human civilization is inevitable. The intrinsic property of high sensitivity to system conditions in chaos phenomena has led some researchers to use this feature for purposes of identifying and measuring changes. The most important bugs of previous researches in this area are the complexity, lack of coherence and dependence on the nominal parameters. By analyzing the effect of the type and magnitude of the initial deviation in a system parameter on all the characteristics of the Duffing system response in the chaotic regime, was observed... 

    Determining Location and Estimating Severity of Damage Using Sensitivities of Principal Components of Frequency Response Functions

    , M.Sc. Thesis Sharif University of Technology Nabiyan, Mansoureh Sadat (Author) ; Rahimzadeh Rofouei, Fayyaz (Supervisor) ; Esfandiari, Akbar (Supervisor)
    Abstract
    Principal component analysis (PCA) is a conventional tool for dynamic system analysis. In this paper, a new damage diagnosis method is presented based on sensitivities of principal components obtained from PCA of Frequency response functions (FRFs). Damage identification, determination of its location and estimation of the damage severity are conducted by an innovative well established sensitivity relation of PCA results. Then, sensitivity matrix is obtained by using measured frequency of damaged structure, and comparison of PCA of the intact structure with PCA from FRFs which are measured at sensors locations. Damage location and its severity are calculated by model updating procedure. This... 

    Optimal transactive market operations with distribution system operators

    , Article IEEE Transactions on Smart Grid ; 2017 ; 19493053 (ISSN) Kabiri Renani, Y ; Ehsan, M ; Shahidehpour, M ; Sharif University of Technology
    2017
    Abstract
    Distribution system operator (DSO) has traditionally been responsible for the reliable operation of power distribution systems. The advent of distributed energy resources (DERs) and microgrids in distribution networks has required a new platform for DSOs. The new DSO, which is for the most part an independent agent, is responsible for aggregating a widely dispersed DERs (which include small thermal generation units, energy storage, and demand response) and flexible loads in electricity markets. DSO coordinates and balances the transactive dispatch of supply and demand at the distribution level and links wholesale and retail electricity markets. In this paper, a framework for the day-ahead... 

    Optimal transactive market operations with distribution system operators

    , Article IEEE Transactions on Smart Grid ; Volume 9, Issue 6 , 2018 , Pages 6692-6701 ; 19493053 (ISSN) Kabiri Renani, Y ; Ehsan, M ; Shahidehpour, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2018
    Abstract
    Distribution system operator (DSO) has traditionally been responsible for the reliable operation of power distribution systems. The advent of distributed energy resources (DERs) and microgrids in distribution networks has required a new platform for DSOs. The new DSO, which is for the most part an independent agent, is responsible for aggregating a widely dispersed DERs (which include small thermal generation units, energy storage, and demand response) and flexible loads in electricity markets. DSO coordinates and balances the transactive dispatch of supply and demand at the distribution level and links wholesale and retail electricity markets. In this paper, a framework for the day-ahead... 

    Day-ahead self-scheduling of a transmission-constrained GenCo with variable generation units using the incomplete market information

    , Article IEEE Transactions on Sustainable Energy ; Volume 8, Issue 3 , 2017 , Pages 1260-1268 ; 19493029 (ISSN) Kabiri Renani, Y ; Ehsan, M ; Shahidehpour, M ; Sharif University of Technology
    2017
    Abstract
    In this paper, a self-generation scheduling method for a power generation company (GenCo) with renewable generation units is presented. In the proposed method, locational market prices (LMPs) are calculated using the incomplete information on competing market participants by simulating the ISO's market clearing program and considering the effect of physical limitations of transmission lines. The errors associated with forecasted LMP and renewable production are modeled in the GenCo's generation scheduling using a robust optimization approach. The scheduling problem is modeled as a mixed-integer linear programming which is solved by a CPLEX solver in GAMS. An eight-bus system is employed to... 

    Trade in Intermediate Goods and The Welfare Gain from International Trade

    , M.Sc. Thesis Sharif University of Technology Ahmadi Renani, Saber (Author) ; Madanizadeh, Ali (Supervisor)
    Abstract
    In this thesis, I introduce a general equilibrium model of international trade that takes into account the industry linkages between intermediate goods and consumption goods producers to quantitatively measure the countries’ welfare gains and losses from different trade policies on intermediate and consumption goods. My model extends the inter-industry trade model of Ricardo (1817), intra-industry model of Krugman (1980), and firm heterogeneous model of Melitz (2003). Reduction of tariffs affect welfare of countries through direct effects on income, cost of export, and cost of input bundles of production (labor and intermediate goods), and indirectly through changes in term of trades, and... 

    Modelling of generalized newtonian lid-driven cavity flow using an SPH method

    , Article ANZIAM Journal ; Volume 49, Issue 3 , 2008 , Pages 411-422 ; 14461811 (ISSN) Rafiee, A ; Sharif University of Technology
    2008
    Abstract
    In this paper a smoothed particle hydrodynamics (SPH) method is introduced for simulating two-dimensional incompressible non-Newtonian fluid flows, and the non-Newtonian effects in the flow of a fluid which can be modelled by generalized Newtonian constitutive equations are investigated. Two viscoplastic models including Bingham-plastic and power-law models are considered along with the Newtonian model. The governing equations include the conservation of mass and momentum equations in a pseudo-compressible form. The spatial discretization of these equations is achieved by using the SPH method. The temporal discretization algorithm is a fully explicit two-step predictorcorrector scheme. In... 

    Robust coordinated distribution system planning considering transactive DSO's market

    , Article IEEE Transactions on Power Systems ; 2022 , Pages 1-11 ; 08858950 (ISSN) Kabiri-Renani, Y ; Fotuhi Firuzabad, M ; Shahidehpour, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2022
    Abstract
    In this paper, a robust distribution system expansion planning (DSP) approach is presented to supply the load growth locally and move toward nearly zero energy local distribution areas (LDAs). In the proposed approach, a distribution system operator (DSO) is responsible for secure and optimum operation of LDAs. Therefore, investors on distribution system upgrades use this approach to maximize the profit on investments by determining the installation year of new distribution feeders and energy resources, distributed energy resource (DER) placements and sizes considered by corresponding DSOs. The accurate AC power flow solution is used and mathematical methods are developed to model the DSP as... 

    Robust coordinated distribution system planning considering transactive DSO's market

    , Article IEEE Transactions on Power Systems ; Volume 38, Issue 2 , 2023 , Pages 1894-1905 ; 08858950 (ISSN) Kabiri-Renani, Y ; Fotuhi Firuzabad, M ; Shahidehpour, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2023
    Abstract
    In this paper, a robust distribution system expansion planning (DSP) approach is presented to supply the load growth locally and move toward nearly zero energy local distribution areas (LDAs). In the proposed approach, a distribution system operator (DSO) is responsible for secure and optimum operation of LDAs. Therefore, investors on distribution system upgrades use this approach to maximize the profit on investments by determining the installation year of new distribution feeders and energy resources, distributed energy resource (DER) placements and sizes considered by corresponding DSOs. The accurate AC power flow solution is used and mathematical methods are developed to model the DSP as... 

    Damage Assessment of Concrete under Compression Using Ultrasonic Test

    , M.Sc. Thesis Sharif University of Technology Sabagh Renani, Mehdi (Author) ; Kazemi, Mohammad Taghi (Supervisor)

    Which Factors Determine Demand for Children Among the Iranian Urban Households?

    , M.Sc. Thesis Sharif University of Technology Kabiri Renani, Mahboubeh (Author) ; Keshavarz Haddad, Gholamreza (Supervisor)
    Abstract
    This research intends to investigate demand for children among Iranian Urban Households in an intra-household bargaining decision process. Using, Household’s Expenditures Survey of Iran(2008), a count regression technique which takes into acount the over-dispersion and under-dispersion of Poisson scheme is specified as function of intra-household bargaining factors, and family’s characteristics. Our findings confirm the significance and a priory expected directions of distribution factors (intra-household bargaining power) and household’s characteristic, effects. Robustness checks verify the accuracy and appropriateness of the generalized Poisson. To examine the exogeneity explanatory... 

    Instagram and its Relation to Moral Values

    , M.Sc. Thesis Sharif University of Technology Hosseini Renani, Niloofar Sadat (Author) ; Hosseini, Hassan (Supervisor)
    Abstract
    In this thesis, the value-ladenness or value-neutrality of technology, new social media and as a result Instagram is investigated. It is also discussed whether values can be taken into account during the design process of technical artefacts, including new social media and Instagram, and methods are developed for this purpose. Several methods have been developed for this purpose, some of them and their compatibility with modern social media are explained; including the Value-Sensitive-Design method and the disclosive computer ethics design method. The frameworks of ethical philosophy such as virtue ethics are reviewed and the appropriate ethical framework for the analysis of new social media... 

    A scenario tree approach to multi-period project selection problem using real-option valuation method

    , Article International Journal of Advanced Manufacturing Technology ; Volume 56, Issue 1-4 , 2011 , Pages 411-420 ; 02683768 (ISSN) Rafiee, M ; Kianfar, F ; Sharif University of Technology
    2011
    Abstract
    Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Multi-period project portfolio selection problems can be modeled by multistage stochastic programs. These models utilize a set of scenarios and corresponding probabilities to model the multivariate random data process (costs or revenues, available budget, chance of success). For most practical problems, the optimization problem that contains all possible scenarios is too large. Due to computational complexity, this program is often approximated by a model involving a (much) smaller number of scenarios. The scenario reduction algorithms determine a subset of the initial scenario set and... 

    Security of multi-adjustable join schemes: separations and implications

    , Article IEEE Transactions on Dependable and Secure Computing ; 2021 ; 15455971 (ISSN) Rafiee, M ; Khazaei, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2021
    Abstract
    Database management systems (DBMS) are one of cloud services with major applications in industry and business. In the use of such services, since the cloud service provider cannot be entrusted with the plain data, the databases are typically encrypted prior to outsourcing. One of the most challenging issues in designing these services is supporting SQL join queries on the encrypted database. The multi-adjustable join scheme (M-Adjoin) [Khazaei-Rafiee 2020], an extension of Adjoin [Popa-Zeldovich 2012 and Mironov-Segev-Shahaf 2017], is a symmetric-key primitive that supports the join queries for a list of column labels on an encrypted database. In previous works, the following security... 

    Private set operations over encrypted cloud dataset and applications

    , Article Computer Journal ; Volume 64, Issue 8 , 2021 , Pages 1145-1162 ; 00104620 (ISSN) Rafiee, M ; Khazaei, S ; Sharif University of Technology
    Oxford University Press  2021
    Abstract
    We introduce the notion of private set operations (PSO) as a symmetric-key primitive in the cloud scenario, where a client securely outsources his dataset to a cloud service provider and later privately issues queries in the form of common set operations. We define a syntax and security notion for PSO and propose a general construction that satisfies it. There are two main ingredients to our PSO scheme: an adjustable join (Adjoin) scheme (MIT-CSAIL-TR-2012-006 (2012) Cryptographic treatment of CryptDB's adjustable join. http://people.csail.mit.edu/nickolai/papers/popa-join-tr.pdf) and a tuple set (TSet) scheme (Cash, D., Jarecki, S., Jutla, C. S., Krawczyk, H., Rosu, M.-C., and Steiner, M.... 

    Security of multi-adjustable join schemes: separations and implications

    , Article IEEE Transactions on Dependable and Secure Computing ; Volume 19, Issue 4 , 2022 , Pages 2535-2545 ; 15455971 (ISSN) Rafiee, M ; Khazaei, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2022
    Abstract
    Database management systems (DBMS) are one of cloud services with major applications in industry and business. In the use of such services, since the cloud service provider cannot be entrusted with the plain data, the databases are typically encrypted prior to outsourcing. One of the most challenging issues in designing these services is supporting SQL join queries on the encrypted database. The multi-adjustable join scheme (M-Adjoin) [Khazaei-Rafiee 2020], an extension of Adjoin [Popa-Zeldovich 2012 and Mironov-Segev-Shahaf 2017], is a symmetric-key primitive that supports the join queries for a list of column labels on an encrypted database. In previous works, the following security... 

    Multi-period Project Portfolio Selection and Scheduling with Uncertainties

    , Ph.D. Dissertation Sharif University of Technology Rafiee, Majid (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    In this thesis, a multi-stage project portfolio selection and scheduling problem in an uncertain environment is modeled, analyzed and solved. Moreover, we investigate the situations in which a project manager is confronted to a large number of projects to be selected and scheduled while the required resources of the projects are limited and renewable. The aim is to maximize objective function which is the net present value of the profit of the projects. To solve the mentioned problem, we introduce a multi-stage stochastic programming. For the reason that, in real problems, optimization problems that included all restraints are large scale and have computational complexity, these problems are... 

    The Application of Profile Monitoring in Healthcare for Disease Monitoring- case Study

    , M.Sc. Thesis Sharif University of Technology Chabok, Sheyda (Author) ; Rafiee, Majid (Supervisor)
    Abstract
    Profile Monitoring is a new research topics in the field of statistical process control. In many applications of statistical quality control, sometimes quality of a process or product described by a relationship between a response variable and one or more independent variables.The researchers call this relationship profile. The study seeks to demonstrate that monitoring profiles In addition, the industry can be effective in medical field and improves control of the patient's condition by a doctor. Profiles are usually modeled with a linear regression equation, non-linear or polynomial. finally, the results of this study, using actual data, models and methods to predict and control... 

    Optimization of Radiotherapy Plan under Uncertainty

    , M.Sc. Thesis Sharif University of Technology Amir, Atabeiki (Author) ; Rafiee, Majid (Supervisor)
    Abstract
    As a method of cancer treatment or improvement of cancer-related complications, external radiation therapy is prescribed by physicians, in case of detection of a tumor in a region of patient’s body. Over time, various techniques have been developed for external beam radiation therapy. Among which, Intensity Modulated Radiation Therapy (IMRT), due to its ability to adjust the intensity of radiation beams, has a higher capacity to generate appropriate dose distribution based on tumor size and volume and it is one of the most widely used techniques in cancer treatment centers.The core process in treatment planning is using appropriate computer algorithms which results in posing enough damage to...