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Refining of Nanostructure of Polypropylene/Nanoclay Composite Via Optimization of Compatibilizer and Masterbatch
, M.Sc. Thesis Sharif University of Technology ; Bagheri, Reza (Supervisor)
Abstract
Polypropylene (PP) is a fast growing polymer, particularly in automotive industry, where PP compounds have replaced many different parts made of conventional materials. In the first step, PP-g-MA, as compatibilizer, was synthesized. Two kinds of polypropylenes including a homo- and a block co-polymer were incorporated for this goal. Characterizations via titration and FTIR tests revealed higher degree of grafting reaction when homo-polymer was used for synthesizing PP-g-MA. In the next step, nanocomposites containing 3 wt% nanoclay with three different PP-g-MA/nanoclay ratios of 1:1, 2:1 and 3:1were made using a co-rotating twin screw extruder. Tensile, impact and XRD tests were performed to...
Small Capital Encouragement for Financing Oil Exploration and Production Sector
, M.Sc. Thesis Sharif University of Technology ; Maleki, Abbas (Supervisor)
Abstract
Due to financial resources constraints, the country's oil industry, especially the upstream oil sector accounting for most of the country's foreign exchange and budget revenues, has not been developed. Thanks to the international sanctions against our country, the conventional financing methods are difficult to use anymore. According to the the current circumstances, the alternative sources of funding using modern approaches are necessary. Moreover, small capital is one of the alternative sources with the high potential for the high level of the liquidity in the society. This study, investigates the financial tools regarding capital market to attract small capital in order to finance...
Oxidative coupling of methane on BaTiO3 perovskites partially substituted with germanium
, Article 2008 AIChE Spring National Meeting, Conference, New Orleans, LA, 6 April 2008 through 10 April 2008 ; 2008 ; 9780816910236 (ISBN) ; Hamidzadeh, M ; Negin, S ; Sharif University of Technology
2008
Abstract
The perovskite oxide BaTiO3, doped with Ge oxides oxidized methane to C2 coupled hydrocarbons. The ultraviolet-visible spectra of pure barium titanate and Ge doped BaTi(1-x) GexO3 (x=0.05 ,0.1) were compared. The pure barium titanate exhibited an ultraviolet absorption effect. The addition of GeO2 resulted in an increase in absorption of wavelength. Therefore, small amount of Ge decreased band gap energy. Oxygen is inserted by nucleophilic attack which may be considered as an acid-base process. For promoted BaTiO3 catalysts with stable cation valance, electron donation ability of lattice oxygen is parallels to its ability of adsorb and active oxygen, and decrease the chance of deep oxidation...
Oxidative coupling of methane on BaTiO3 perovskites partially substituted with germanium
, Article 2008 AIChE Spring National Meeting, Conference, New Orleans, LA, 6 April 2008 through 10 April 2008 ; 2008 ; 9780816910236 (ISBN); 9780816910236 (ISBN) ; Hamidzadeh, M ; Negin, S ; Sharif University of Technology
2008
Abstract
The perovskite oxide BaTiO3, doped with Ge oxides oxidized methane to C2 coupled hydrocarbons. The pure barium titanate exhibited an ultraviolet absorption effect. The addition of GeO2 resulted in an increase in absorption of wavelength. Small amount of Ge decreased band gap energy. For promoted BaTiO3 catalysts with stable cation valance, electron donation ability of lattice oxygen was parallel to its ability of adsorb and active oxygen, and decreased the chance of deep oxidation of methyl radicals and C2 hydrocarbons and thus will result in an increase of C2 yield. This is an abstract of a paper presented at the 42nd Loss Prevention Symposium (New Orleans, LA 4/6-10/2008)
Oxidative coupling of methane on BaTiO3 perovskites partially substituted with germanium
, Article Catalysis and Reaction Engineering Division Conference, Presentations at the 2008 AIChE Spring National Meeting, 6 April 2008 through 10 April 2008 ; 2008 , Pages 89-94 ; 9781605602233 (ISBN) ; Hamidzadeh, M ; Negin, S ; Sharif University of Technology
AIChE
2008
Abstract
The perovskite oxide BaTiO3, doped with Ge oxides oxidized methane to C2 coupled hydrocarbons. The ultraviolet-visible spectra of pure barium titanate and Ge doped BaTi(1-x)GexO3(x=0.05,0.1) were compared. The pure barium titanate exhibited an ultraviolet absorption effect. The addition of GeO2 resulted in an increase in absorption of wavelength. Therefore, small amount of Ge decreased band gap energy. Oxygen is inserted by nucleophilic attack which may be considered as an acid-base process. For promoted BaTiO3catalysts with stable cation valance, electron donation ability of lattice oxygen is parallels to its ability of adsorb and active oxygen, and decrease the chance of deep oxidation of...
A new error in variables model for solving positive definite linear system using orthogonal matrix decompositions
, Article Numerical Algorithms ; Volume 72, Issue 1 , 2016 , Pages 211-241 ; 10171398 (ISSN) ; Mahdavi Amiri, N ; Sharif University of Technology
Springer New York LLC
2016
Abstract
The need to estimate a positive definite solution to an overdetermined linear system of equations with multiple right hand side vectors arises in several process control contexts. The coefficient and the right hand side matrices are respectively named data and target matrices. A number of optimization methods were proposed for solving such problems, in which the data matrix is unrealistically assumed to be error free. Here, considering error in measured data and target matrices, we present an approach to solve a positive definite constrained linear system of equations based on the use of a newly defined error function. To minimize the defined error function, we derive necessary and...
A competitive error in variables approach and algorithms for finding positive definite solutions of linear systems of matrix equations
, Article Springer Proceedings in Mathematics and Statistics, 2 January 2017 through 5 January 2017 ; Volume 235 , 2018 , Pages 45-66 ; 21941009 (ISSN); 9783319900254 (ISBN) ; Mahdavi Amiri, N ; Sharif University of Technology
Springer New York LLC
2018
Abstract
Here, we refine our recent proposed method for computing a positive definite solution to an overdetermined linear system of equations with multiple right-hand sides. This problem is important in several process control contexts including quadratic models for optimal control. The coefficient and the right-hand side matrices are, respectively, named data and target matrices. In several existing approaches, the data matrix is unrealistically assumed to be error free. We have recently presented an algorithm for solving such a problem considering error in measured data and target matrices. We defined a new error in variables (EIV) error function considering error for the variables, the necessary...
Experimental investigation of turbulence specifications of turbidity currents
, Article Journal of Applied Fluid Mechanics ; Volume 3, Issue 1 , 2010 , Pages 63-73 ; 17353572 (ISSN) ; Afshin, H ; Bagherpour, A ; Sharif University of Technology
2010
Abstract
The present study investigates the turbulence characteristic of turbidity current experimentally. The three-dimensional Acoustic-Doppler Velocimeter (ADV) was used to measure the instantaneous velocity and characteristics of the turbulent flow. The experiments were conducted in a three-dimensional channel for different discharge flows, concentrations, and bed slopes. Results are expressed at various distances from the inlet, for all flow rates, slopes and concentrations as the distribution of turbulence energy, Reynolds stress and the turbulent intensity. It was concluded that the maximum turbulence intensity happens in both the interface and near the wall. Also, it was observed that the...
An adaptive neural network sliding mode controller for robotic manipulators
, Article 2005 IEEE International Conference on Industrial Technology, ICIT 2005, Hong Kong, 14 December 2005 through 17 December 2005 ; Volume 2005 , 2005 , Pages 1246-1251 ; 0780394844 (ISBN); 9780780394841 (ISBN) ; Ghadami, R ; Bagherpour, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2005
Abstract
In this paper, an adaptive neural network sliding mode controller (ANNSMC) for robotic manipulators is proposed to alleviate the problems met in practical implementation using classical sliding mode controllers. The chattering phenomenon is eliminated by substituting single-input single-output radial-basis-function neural networks (RBFNN's), which are nonlinear and continuous, in lieu of the discontinuous part of the control signals present in classical forms. The weights of the hidden layer of the RBFNN's are updated in an online manner to compensate the system uncertainties. The key feature of this scheme is that prior knowledge of the system uncertainties is not required to guarantee the...
Approximation of a confidence interval for link distances in mobile ad hoc networks
, Article 3rd IEEE/Create-Net International Conference on Communication System Software and Middleware, COMSWARE, Bangalore, 6 January 2008 through 10 January 2008 ; 2008 , Pages 520-527 ; 9781424417971 (ISBN) ; Sepehri, M. M ; Sharifyazdi, M ; Sharif University of Technology
IEEE Computer Society
2008
Abstract
A Mobile Ad Hoc Network (MANET) is an infrastructure-less network composed of mobile devices. In order to meet the foresight of newly developing MANETs, a method of maintaining a real-time flow despite dynamic topology and random movement of users is required. Mobility prediction is one of the keys to successful design of efficient protocols to find stable and reliable routes in MANETs. An important characteristic of a MANET is the distribution of the link distance between communicating users. In this paper a novel mobility model is developed for users of a MANET wandering in an unlimited area and is used to derive an analytical framework to approximate the communication links distance...
New EIV Models for Solving Positive Definite and Positive Semidefinite Linear Systems with Application to Computing Positive Definite Solutions of Nonlinear Matrix Equations
, Ph.D. Dissertation Sharif University of Technology ; Mahdavi Amiri, Nezamodin (Supervisor)
Abstract
The need to estimate a positive definite or positive semi-definite solution to an overdetermined linear system of equations with multiple right hand side vectors arises in several process control contexts. A similar problem is encountered in certain contexts related to statistics and control theory with the unknown matrix being positive semi-definite. The coefficient and the right hand side matrices are respectively named data and target matrices. A number of optimization methods were proposed for solving such problems, in which the data matrix is unrealistically assumed to be error free. Here, considering error in measured data and target matrices, we present new approachs to solve two...
An ABS Algorithm for Solving a System of Nonlinear Equations and Linear Inequalities with Application to Distillation Tower Design
, M.Sc. Thesis Sharif University of Technology ; Mahdavi Amiri, Nezamoddin (Supervisor)Implementation of Building Information Modeling (BIM) Using Hybrid Z-DEMATEL-ISM Approach
, Article Advances in Civil Engineering ; Volume 2021 , 2021 ; 16878086 (ISSN) ; Ahmadi, E ; Saremi, P ; BagherPour, M ; Sharif University of Technology
Hindawi Limited
2021
Abstract
Due to the shortcomings of the traditional construction project management system, there is a feeling among those involved in this industry that new tools and approaches should be used to facilitate simple and complex operations. On the contrary, there is no integrated database for all construction sectors, and of course the relationship between these sectors is a major problem for any construction project. The technology and tool that overcomes many of these shortcomings is BIM technology. This paper seeks to identify all the challenges that hinder the successful implementation of BIM and determine important challenges based on Z-DEMATEL-ISM Hybrid approaches. The DEMATEL method is used to...
Optimal Monetary Policy with Attention to Housing Price in the Economy of Iran: DSGEApproach
,
M.Sc. Thesis
Sharif University of Technology
;
Dargahi, Hassan
(Supervisor)
;
Ebrahimi, Illnaz
(Supervisor)
Abstract
Purpose of this study is the assignment of the optimal monetary policy rule with attention to housing price with base of setting and to estimating a Dynamic Stochastic General Equilibrium modeling (DSGE). This study has two steps. In the first step we set a model with base of Households, firms, government, and monetary sector behavior and with attention to important variables like outcome, consumption, and investment, the model will be caliber and by simulation it will be evaluated. In the second step we determine optimal monetary rule and the model simulate again with this monetary rule. The comparison between two simulation for verity of shocks shows us that the optimal monetary policy...
Facilitating Data Exchange Between Streaming Processors in GPUs
, Ph.D. Dissertation Sharif University of Technology ; Sadrbazi Azad, Hamid (Supervisor)
Abstract
GPUs are used today to accelerate a wide range of general-purpose applications (e.g., regular stencil applications and irregular graph processing applications). Due to the significant growth of the Thread Level Parallelism (TLP) in GPGPU applications, the need for data sharing between different threads has become more apparent. There are a variety of solutions for reusing data in the GPU (e.g., on-chip caches and shuffle instructions), each with its own drawbacks and reduced comprehensiveness (e.g., limiting shared memory to a thread block and shuffle instructions to a warp). Among the standard general-purpose applications, L1 data cache is a major GPU solution for reusing data among...
An extended distributed learning automata based algorithm for solving the community detection problem in social networks
, Article 2017 25th Iranian Conference on Electrical Engineering, ICEE 2017, 2 May 2017 through 4 May 2017 ; 2017 , Pages 1520-1526 ; 9781509059638 (ISBN) ; Daliri Khomami, M. M ; Bagherpour, N ; Reza, M ; Sharif University of Technology
2017
Abstract
Due to unstoppable growth of social networks and the large number of users, the detection of communities have become one of the most popular and successful domain of research areas. Detecting communities is a significant aspect in analyzing networks because of its various applications such as sampling, link prediction and communications among members of social networks. There have been proposed many different algorithms for solving community detection problem containing optimization methods. In this paper we propose a novel algorithm based on extended distributed learning automata for solving this problem. Our proposed algorithm benefits from cooperation between learning automata to detect...
Minimum positive influence dominating set and its application in influence maximization: a learning automata approach
, Article Applied Intelligence ; Volume 48, Issue 3 , March , 2018 , Pages 570-593 ; 0924669X (ISSN) ; Rezvanian, A ; Bagherpour, N ; Meybodi, M. R ; Sharif University of Technology
Springer New York LLC
2018
Abstract
In recent years, with the rapid development of online social networks, an enormous amount of information has been generated and diffused by human interactions through online social networks. The availability of information diffused by users of online social networks has facilitated the investigation of information diffusion and influence maximization. In this paper, we focus on the influence maximization problem in social networks, which refers to the identification of a small subset of target nodes for maximizing the spread of influence under a given diffusion model. We first propose a learning automaton-based algorithm for solving the minimum positive influence dominating set (MPIDS)...
Irregular cellular automata based diffusion model for influence maximization
, Article 5th Iranian Joint Congress on Fuzzy and Intelligent Systems - 16th Conference on Fuzzy Systems and 14th Conference on Intelligent Systems, CFIS 2017, 7 March 2017 through 9 March 2017 ; 2017 , Pages 69-74 ; 9781509040087 (ISBN) ; Rezvanian, A ; Bagherpour, N ; Meybodi, M. R ; Sharif University of Technology
2017
Abstract
Due to great communication among users in social networks, a lot of attention is paid to the spreading of information. This issue is of a huge consideration in modern viral marketing either. So far, different models have been proposed in many of which active and inactive users are cooperating in the simple form. Since the influence of individuals in spreading of information happens differently in the real world, in this article we propose a multi-state model for information spread based on cellular automata. We used different states for the proposed model as well as various levels of influence from the beginning up to the end. As an evaluation, proposed model not only has been examined with...
Minimum positive influence dominating set and its application in influence maximization: a learning automata approach
, Article Applied Intelligence ; 2017 , Pages 1-24 ; 0924669X (ISSN) ; Rezvanian, A ; Bagherpour, N ; Meybodi, M. R ; Sharif University of Technology
2017
Abstract
In recent years, with the rapid development of online social networks, an enormous amount of information has been generated and diffused by human interactions through online social networks. The availability of information diffused by users of online social networks has facilitated the investigation of information diffusion and influence maximization. In this paper, we focus on the influence maximization problem in social networks, which refers to the identification of a small subset of target nodes for maximizing the spread of influence under a given diffusion model. We first propose a learning automaton-based algorithm for solving the minimum positive influence dominating set (MPIDS)...