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Effect of heterogeneity of layered reservoirs on polymer flooding: An experimental approach using five-spot glass micromodel
, Article 70th European Association of Geoscientists and Engineers Conference and Exhibition - Incorporating SPE EUROPEC 2008, Rome, 9 June 2008 through 12 June 2008 ; Volume 3 , 2008 , Pages 1445-1454 ; 9781605604749 (ISBN) ; Kharrat, R ; Ghazanfari, M. H ; Sharif University of Technology
Society of Petroleum Engineers
2008
Abstract
Despite the numerous experimental studies, there is a lack of fundamental understanding about how the local and global heterogeneity control the efficiency of polymer flooding. In this work a series of water and polymer injection processes are performed on five-spot glass micromodels which are initially saturated with the crude oil at varying conditions of flow rate, water salinity, polymer type and concentration. Three different pore structures in combine with different layer orientations are considered for designing of five different micromodel patterns. It has been observed that the oil recovery of water flooding is increasing with the salinity concentration, for the ranges studied here....
Oblique low-velocity impact on fiber-metal laminates
, Article Applied Composite Materials ; 2016 , Pages 1-13 ; 0929189X (ISSN) ; Mohammadkhani, H ; Bagheri, M. R ; Sharif University of Technology
Springer Netherlands
2016
Abstract
In the present study, oblique low-velocity impact (OLVI) on GLARE fiber-metal laminates (FMLs) has been modeled using finite element analysis (FEA) for the first time. Two types of boundary conditions (BCs) can be considered for impactor in the low-velocity impact: constrained (if the impact angle between the impactor and target remains constant during and after the contact) and free (if rotation of the impactor and change in angle with respect to the target is likely) BCs. The more details of these BCs are described in the paper. The OLVI is numerically modeled for four different impact angles. Effect of BC types and impact angle on energy absorption, as well as maximum contact force, is...
Oblique low-velocity impact on fiber-metal laminates
, Article Applied Composite Materials ; Volume 24, Issue 3 , 2017 , Pages 611-623 ; 0929189X (ISSN) ; Mohammadkhani, H ; Bagheri, M. R ; Sharif University of Technology
2017
Abstract
In the present study, oblique low-velocity impact (OLVI) on GLARE fiber-metal laminates (FMLs) has been modeled using finite element analysis (FEA) for the first time. Two types of boundary conditions (BCs) can be considered for impactor in the low-velocity impact: constrained (if the impact angle between the impactor and target remains constant during and after the contact) and free (if rotation of the impactor and change in angle with respect to the target is likely) BCs. The more details of these BCs are described in the paper. The OLVI is numerically modeled for four different impact angles. Effect of BC types and impact angle on energy absorption, as well as maximum contact force, is...
A new distributed learning automata based algorithm for maximum independent set problem
, Article 2016 Artificial Intelligence and Robotics, 9 April 2016 ; 2016 , Pages 12-17 ; 9781509021697 (ISBN) ; Bagherpour, N ; Sajedi, H ; Meybodi, M. R ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2016
Abstract
Maximum independent set problem is an NP-Hard one with the aim of finding the set of independent vertices with maximum possible cardinality in a graph. In this paper, we investigate a learning automaton based algorithm that finds a maximum independent set in the graph. Initially, a learning automaton is assigned to each vertex of graph. In order to find candidate independent set, a set of distributed learning automata collaborate with each other. The proposed algorithm based on learning automata is guided iteratively to the maximum independent set by updating the action probability vector. In order to study the performance of the proposed algorithm, we conducted some experiments. The...
Dichotomy and Polymorphisms
, M.Sc. Thesis Sharif University of Technology ; Daneshgar, Amir (Supervisor)
Abstract
In general, Constrain Satisfaction Problems (CSP’s) are NP-complete, however, this is not the case, if we impose some restrictions on the constraints. Due to importance and applications of CSP’s in different areas of engineering and science including artificial intelligence, relational databases and logic, investigating the computational complexity of CSP’s is an important issue. Computational complexity of CSP’s has been investigated from a variety of aspects, including the Universal Algebraic approach that has given rise to a solution of dichotomy conjecture recently. In this thesis based on contributions of Bulatov, Krokhin and Jeavons, we try to explain this universal algebraic approach...
Minimization of the Exit – Curvature Profile in Extrusion Dies by Optimization of the Die Profile and Application of Die Land
, M.Sc. Thesis Sharif University of Technology ; Assempour, Ahmad (Supervisor)
Abstract
One of the most practical deformation processes has been used to produce profiles with a diversity of shapes is forward extrusion. Minimizing the extrusion pressure along with reducing the curvature of the final product have always been the main concerns of the researchers in this area. To achieve the former, researchers have designed nonlinear dies and proposed various equations to determine proper die profile. To accomplish the latter, they have used bearing at the exit section of the extrusion die. The primary object of the current study is to design a proper bearing in order to eliminate the curvature of the final product in extrusion process. The effects of both bearing and die profile...
A general methodology for bearing design in non-symmetric T-shaped sections in extrusion process
, Article Journal of Materials Processing Technology ; Volume 212, Issue 1 , 2012 , Pages 249-261 ; 09240136 (ISSN) ; Assempour, A ; Farahani, S ; Sharif University of Technology
2012
Abstract
In this study, a general methodology has been developed to design the proper bearing in order to eliminate the curvature of the final product in extrusion process. Three smooth curved (advanced-surface) dies with non-symmetric T-shaped sections and different off-centricities have been studied. For each die, the proper bearing has been designed and physical and numerical modeling have been performed to validate the design. The design procedure is as follows: A formulation, based on Bezier curves, has been used to determine the exit velocity profile. Since the result of Bezier method is different from the actual velocity profile, the Chitkara corrective function has been modified and applied...
Determination of hydrocarbon-water interfacial tension using a new empirical correlation
, Article Fluid Phase Equilibria ; Volume 415 , 2016 , Pages 42-50 ; 03783812 (ISSN) ; Daryasafar, A ; Karimi, M ; Sharif University of Technology
Elsevier
2016
Abstract
Interfacial tension is one of the very important parameters in pharmacology science, chemical engineering and petroleum engineering. The interfacial tension between pure hydrocarbons and water is widely used in chemical and petroleum engineering and so that it is highly desirable to find its accurate values. In this study a new unique correlation has been developed based on a comprehensive database of pure hydrocarbons-water interfacial tension values which contained both aliphatic and aromatic compounds (32 different hydrocarbons) with pressure ranges of 0.1-300 MPa and temperature ranges of 252.44-550 K. The proposed correlation uses the density difference between pure hydrocarbon and...
A joint duty cycle scheduling and energy aware routing approach based on evolutionary game for wireless sensor networks
, Article Iranian Journal of Fuzzy Systems ; Volume 14, Issue 2 , 2017 , Pages 23-44 ; 17350654 (ISSN) ; Movaghar, A ; Meybodi, M. R ; Sharif University of Technology
University of Sistan and Baluchestan
2017
Abstract
Network throughput and energy conservation are two conflicting important performance metrics for wireless sensor networks. Since these two objectives are in conflict with each other, it is difficult to achieve them simultaneously. In this paper, a joint duty cycle scheduling and energy aware routing approach is proposed based on evolutionary game theory which is called DREG. Making a trade-off cand network throughput, the proposed approach prolongs the network lifetime. The paper is divided into the following sections: Initially, the discussion is presented on how the sensor nodes can be scheduled to sleep or wake up in order to reduce energy consumption in idle listening. The sensor...
Causal Models in Representation Learning
, M.Sc. Thesis Sharif University of Technology ; Yassaeei Meybodi, Mohammad Hossein (Supervisor)
Abstract
Undoubtedly, machine learning and its practical applications have become essential topics in research and industry. Among these, representation learning holds special importance. The goal in this field is to find low-dimensional and meaningful representations of high-dimensional data that encapsulate essential information. Most existing methods focus only on the statistical correlations in data, which do not necessarily indicate real relationships between variables and can affect learning performance. This becomes even more problematic when the distribution of test data differs from the training data, as it makes the learned representations less generalizable. To tackle this problem, causal...
Efficient stochastic algorithms for document clustering
, Article Information Sciences ; Volume 220 , 2013 , Pages 269-291 ; 00200255 (ISSN) ; Mahdavi, M ; Shamsfard, M ; Meybodi, M. R ; Sharif University of Technology
2013
Abstract
Clustering has become an increasingly important and highly complicated research area for targeting useful and relevant information in modern application domains such as the World Wide Web. Recent studies have shown that the most commonly used partitioning-based clustering algorithm, the K-means algorithm, is more suitable for large datasets. However, the K-means algorithm may generate a local optimal clustering. In this paper, we present novel document clustering algorithms based on the Harmony Search (HS) optimization method. By modeling clustering as an optimization problem, we first propose a pure HS based clustering algorithm that finds near-optimal clusters within a reasonable time....
Distributed QoS routing algorithm in large scale wireless sensor networks
, Article IEEE International Symposium on Industrial Electronics ; 2012 , Pages 826-830 ; 9781467301589 (ISBN) ; Pourkabirian, A ; Meybodi, M. R ; Movaghar, A ; Sharif University of Technology
IEEE
2012
Abstract
This paper presents a novel routing protocol based on the Learning Automata method for large scale Wireless Sensor Networks (WSNs) codenamed DRLR (distributed reinforcement learning routing). In this method, each node is equipped with learning automata so that it can learn the best path to transmit data toward the sink. The approach proved to be efficient, reliable, and scalable. It also prevents routing hole by considering network density and average of energy levels available. The approach also increases network lifetime by balancing energy consumption. We compared our approach to two other methods (MMSPEED and EESPEED) and the simulation results show our algorithm to better meet...
Modeling of Blood Flow and Deposition of Low Density Lipoprotein (LDL) in Coronary Arteries
, M.Sc. Thesis Sharif University of Technology ; Firoozabadi, Bahar (Supervisor) ; Saidi, Mohammad Said (Co-Advisor)
Abstract
In this thesis, hemodynamic parameters of flow and deposition of low density lipoproteins (LDL) on wall of coronary arteries with taking into account their curvature on the heart are studied. At first, numerical solution of the blood flow by assumption of blood as incompressible and Newtonian fluid for steady and pulsatile inlet is done. Then by assuming LDL particles as dilute solute in the blood, LDL transport from artery lumen into arterial wall is studied. LDL accumulation and penetration into the vessel wall cause thickening of the walls and eventually eclipse it and its known as the first stage of atherosclerosis disease. The results show that low shear region occurs on inner wall...
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)...
Developing a Comprehensive Framework for Improving Resilience Level of Datacenters Based on the Concept of Energy Microgrids
, M.Sc. Thesis Sharif University of Technology ; Moieni Aghtaie, Moein (Supervisor) ; Aeen, Morteza (Supervisor)
Abstract
The constant and proper functioning of data center infrastructures is considered a vital element in the modern processing of data and information. Failure in the electricity supply system is the key reason for workload processing stalls in data centers. Energy supply systems, therefore, need to be highly reliable in terms of adequacy and security. Nonetheless, data centers tend to become volatile and, to some degree, unresponsive in the face of a multitude of such errors occurring simultaneously which in turn could lead to higher rates of processing interruptions. Recent years have witnessed an increase in the number of natural occurrences with high impact and low probability (a.k.a., HILP...
Modeling of Cuttings Movement with Consideration of Hydraulic Jet Effect around Drilling Bit
, M.Sc. Thesis Sharif University of Technology ; Jamshidi, Saeed (Supervisor) ; Molaei Dehkordi, Asghar (Supervisor)
Abstract
One of the most important problem in oil and gas well drilling is well cleaning and pipe sticking. This problem more sensitive when depth is increase. When a well is drilled, cuttings must be transported to the surface. For this reasen use drilling mud to circulate in well and transport the cuttings. Drilling mud exit from bit nozzle, wash and clean the well. Well cleaning depends on this parameter: fluid viscosity, annulas flowrate, well inclination, cutting size and shape, cutting density and mud density.The aim of this thesis is study and simulate of cutting transport phenoimena while drilling is running with comertial software like Fluent and Comsol. We study forces acts on cutting...
Synthesis of wide band gap nanocrystalline NiO powder via a sonochemical method
, Article Ultrasonics Sonochemistry ; Volume 19, Issue 4 , 2012 , Pages 841-845 ; 13504177 (ISSN) ; Hosseini, S. A ; Rezaee, M ; Sadrnezhaad, S. K ; Mohammadyani, D ; Sharif University of Technology
2012
Abstract
A sonochemistry-based synthesis method was used to produce nanocrystalline nickel oxide powder with ∼20 nm average crystallite diameter from Ni(OH)2 precursor. Ultrasound waves were applied to the primary solution to intensify the Ni(OH)2 precipitation. Dried precipitates were calcined at 320 °C to form nanocrystalline NiO particles. The morphology of the produced powder was characterized by transmission electron microscopy. Using sonochemical waves resulted in lowering of the size of the nickel oxide crystallites. FT-IR spectroscopy and X-ray diffraction revealed high purity well-crystallized structure of the synthesized powder. Photoluminescence spectroscopy confirmed production of a wide...
Co-delivery of letrozole and cyclophosphamide via folic acid-decorated nanoniosomes for breast cancer therapy: Synergic effect, augmentation of cytotoxicity, and apoptosis gene expression
, Article Pharmaceuticals ; Volume 15, Issue 1 , 2022 ; 14248247 (ISSN) ; Hosseini, E ; Karimifard, S ; Khayam, N ; Meybodi, S. M ; Amiri, S ; Bourbour, M ; Far, B. F ; Akbarzadeh, I ; Bhia, M ; Hoskins, C ; Chaiyasut, C ; Sharif University of Technology
MDPI
2022
Abstract
Breast cancer is one of the most prevalent causes of cancer mortality in women. In order to increase patient prognosis and survival rates, new technologies are urgently required to deliver therapeutics in a more effective and efficient manner. Niosome nanoparticles have been recently employed as therapeutic platforms capable of loading and carrying drugs within their core for both mono and combination therapy. Here, niosome-based nanoscale carriers were investigated as a targeted delivery system for breast cancer therapy. The platform developed consists of niosomes loaded with letrozole and cyclophosphamide (NLC) and surface-functionalized with a folic-acidtargeting moiety (NLCPFA). Drug...