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rafiee-javazm--mohammad
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Observer design for topography estimation in atomic force microscopy using neural and fuzzy networks
, Article Ultramicroscopy ; Volume 214 , 2020 ; Nejat Pishkenari, H ; Sharif University of Technology
Elsevier B.V
2020
Abstract
In this study, a novel artificial intelligence-based approach is presented to directly estimate the surface topography. To this aim, performance of different artificial intelligence-based techniques, including the multi-layer perceptron neural, radial basis function neural, and adaptive neural fuzzy inference system networks, in estimation of the sample topography is investigated. The results demonstrate that among the designed observers, the multi-layer perceptron method can estimate surface characteristics with higher accuracy than the other methods. In the classical imaging techniques, the scanning speed of atomic force microscope is restricted due to the time required by the oscillating...
Impedance Control of Balance Robot
, M.Sc. Thesis Sharif University of Technology ; Behzadipour, Saeed (Supervisor)
Abstract
In recent years, rehabilitation has become of particular importance due to direct connection with the quality of life of human beings. Balance training and assessment devices have been designed to provide means for rehabilitation of patients with balance problems. Sharif balance robot is an example which has been developed at Sharif University of Technology. The subject stays on a plate with active rotation in both Medial-Lateral and Anterior-Posterior directions. The active rotation of this plate is provided by two electrical motors embedded inside the machine. Position commands for this plate are sent to the electrical motor by the control hardware which consists of a PC104 running...
Analysis of Designing Knowledge Management Execution Processes – Case Study
, M.Sc. Thesis Sharif University of Technology ; Mostafavi, Mostafa (Supervisor)
Abstract
The topic of knowledge creation and knowledge management is one of the most leading issues in management studies in today’s world’s organizations.Knowledge creation is known as the first and the most basic step in knowledge management and it can provide the prefaces of developing a management work frame in an organization.In this thesis after reviewing the goals and purpose of the project under consideration, the literature of knowledge management is reviewed and the most important models of knowledge management are selected and analyzed.Also, the organization selected as a case study is fully studied and the necessary information is gathered on the basis of proposed indexes at two public...
Buckling and Post-Buckling Analysis of Conical Shells under Non-uniform Axial Loading
, M.Sc. Thesis Sharif University of Technology ; Kouchakzadeh, Mohammad Ali (Supervisor)
Abstract
The thesis addresses the buckling and post-buckling analysis of an elastic conical shell under non-uniform axial loading using finite element method. Non-uniform axial load is applied to one end of the truncated cone in the form of two equal-length loaded zones, diametrically opposite to each other. Material used in this thesis is isotropic with linear elasticity. The results are presented for different boundary condition. The results show that the buckling strength obtained by nonlinear analysis may be upto 40% less than the buckling strength obtained by linear analysis. The effects of boundary conditions and geometry on the results has been investigated
Designing a Comprehensive Quality System and Quality Assurance System in Iran
, M.Sc. Thesis Sharif University of Technology ; Rafiee, Majid (Supervisor)
Abstract
The design of an indicator for "quality rate measurement" has been done in many countries around the world, and the quality rate, like other economic indicators, is subject to public judgment. Prerequisite for the formation of this index is the existence of a "comprehensive system" for quality management in the country, in which the duties and powers of various institutions in the issue of quality are specified and responsible for each process. With this excellent system, quality management is done in an integrated manner and quality can be managed efficiently by providing indicators.Quality assessment, in addition to hearing the customer's voice, requires other aspects, including examining...
News-based Stock Forecasting Using Text Mining Methods
, M.Sc. Thesis Sharif University of Technology ; Rafiee, Majid (Supervisor)
Abstract
Predicting the trend of stock prices is always one of the concerns that stock market analysts and investors face with, which plays a critical role in maximizing the profit from investing in stocks. Past stock price charts, raw material prices, the value of the company's assets, the impact of global markets, the company's products, the organization's development plans, and the same other factors influencing the stock price. News reports are an important source of information for people. Recently, a lot of research has been done to examine the impact of news on stock price trends. This research has two research phases. In the first phase, a text mining method is presented which is using...
Predicting Football Player's Market Value and Determination Factors Affecting it Applying Machine Learning Methods
, M.Sc. Thesis Sharif University of Technology ; Rafiee, Majid (Supervisor)
Abstract
In addition to being a popular sport in the world, football is a big industry and clubs are considered as economic enterprises of this industry. One of the most important decisions that the managers of these clubs must make is the buying and selling of players during the transfer windows, so that one decision can bring a profit or a loss of several million euros for that club.So obtaining a correct estimation of the market value and price of football players is considered a crucial requirement for club managers. With the advancement of science and the evolution of machine learning algorithms, researchers tried to create models to predict the market value of players by using the...
Providing a Trading Framework for Financial Markets using Machine Learning Techniques
, M.Sc. Thesis Sharif University of Technology ; Rafiee, Majid (Supervisor)
Abstract
In recent years, investment in financial markets has seen exponential growth in the number of investors and the capital they have invested. Investors enter these markets with the goal of maximizing their transaction profits. Therefore, they are looking for a way to predict the future of the market. On the other hand, numerous factors influence stock prices and market trends, making the prediction of these markets a highly complex task. In recent years, with the remarkable advancement of artificial intelligence, analysts’ ability to predict stock trends has greatly improved. In this research, we attempt to predict stock trends using financial market concepts and machine learning models. To...
Correction to: A dynamical approach to topography estimation in atomic force microscopy based on smooth orthogonal decomposition (Nonlinear Dynamics, (2021), 103, 3, (2345-2363), 10.1007/s11071-021-06256-y)
, Article Nonlinear Dynamics ; Volume 104, Issue 3 , 2021 , Pages 2977- ; 0924090X (ISSN) ; Pishkenari, H. N ; Sharif University of Technology
Springer Science and Business Media B.V
2021
Abstract
A Correction to this paper has been published: https://doi.org/10.1007/s11071-021-06256-y. © 2021, Springer Nature B.V
Identification of Dynamic Charactristics of an Oil Lubricated Bearing by Modal Testing
, M.Sc. Thesis Sharif University of Technology ; Mohammad Navazi, Hossein (Supervisor)
Abstract
In the present work, the dynamic charactristics of an oil lubricated journal bearing are identified by experimental modal test. First other similar articles were studied. Then according to requrements and specifications of the bearing, a test bed is designed and constracted by existing technologies to perform tests and to collect required data. The test bed consists of several parts, including rotary shaft, stator, oil supply pack, dynamic force shaker and various sensors, which are constructed and assembled with very precise tolerances. In order to identify the dynamic coefficients of the bearing, the test process was performed using dynamic and static forces and collecting required data....
Comparing Predictions of Thermal Theory of Flame Propagation and Density Theory of Flame Propagation
,
M.Sc. Thesis
Sharif University of Technology
;
Nassimi, Ali Mohammad
(Supervisor)
Abstract
A significant portion of the substances used in the chemical industry are toxic and hazardous, posing major safety hazards. In this regard, studies on the flammability limits of flammable materials are important and necessary. Flammability limits are the range of fuel-oxidant mixtures that can lead to flame propagation. This project examines the flammability limits of different fuels. In this study, a set of fuels have been selected as the fuel world, and to select these compounds, their molecular structure as well as thermodynamic properties such as standard enthalpy of formation and standard enthalpy of combustion have been considered. It has been shown that by redefining the fuel world,...
Investigating the Impact of International Policies on Supply Chain Management in Oil, Gas, and Petrochemical Industries
, M.Sc. Thesis Sharif University of Technology ; Najafi, Mehdi (Supervisor) ; Rafiee, Majid (Supervisor)
Abstract
Policies affect supply chain management in oil, gas and petrochemical industries. In this study, structural equation modeling was used to evaluate the relationship between variables in AMOS software. The findings also indicated that international policies affect different aspects of supply chain management in the following order: product realization management (coordination), customer delivery management (partnership), planning management (planning) and resource management (implementation). Finally, suggestions were made on how to find financing such as bank loans, prioritizing payments in the light of their criticality, as well as on the creation. This study aimed to investigate the impact...
Feasibility Study and Analysis of Hydrogen Production Technologies in Steel Production Processes in Iran
, M.Sc. Thesis Sharif University of Technology ; Rafiee, Majid (Supervisor) ; Mostafavi, Mostafa (Supervisor)
Abstract
The steel industry, as a key sector in the global economy, has consistently faced environmental and economic challenges. Given the necessity of reducing carbon emissions and moving towards sustainable production, the use of hydrogen as an alternative to fossil fuels in the steelmaking process has garnered attention. This research investigates the feasibility of hydrogen production through various methods and its application in the steel industry to identify the most suitable option from economic and environmental perspectives. This thesis examines the feasibility of producing and utilizing hydrogen in the steelmaking process, focusing on three hydrogen production methods (green, blue, 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) ; 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...
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) ; 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) ; 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) ; 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) ; 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 ; 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 ; 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...