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hasheminasab--hamidreza
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Experimental investigation on the aerodynamic performance of NLF-0414 iced-airfoil
, Article Journal of Applied Fluid Mechanics ; Volume 9, Issue 2 , 2016 , Pages 587-592 ; 17353572 (ISSN) ; Hajipour, M ; Hasheminasab, H ; Sharif University of Technology
Isfahan University of Technology
2016
Abstract
Icing phenomenon on a natural laminar flow airfoil (NLF-0414) has been experimentally investigated. Double horn glaze ice geometry which was acquired during a 15 minutes spray time at-2.23°C with liquid water content and a median volumetric diameter of 1.0 g/m3 and 20 μm, has been extracted from database of NASA Lewis Research Center. Pressure distribution over airfoil surfacewas evaluated at angles of attack between -2 to 6 degreesfor both iced and clean airfoils. Aerodynamics performance degradation of the iced airfoil has been studied and it is shown that double horn ice accretion, due to its unique geometry, severely affects aerodynamic characteristics of natural laminar flow airfoils....
Comparison of Switching Stream Cipher Systems
, M.Sc. Thesis Sharif University of Technology ; Daneshgar, Amir (Supervisor)
Abstract
In this thesis, we analyze and compare switching and CPSP cryptography systems. CPSP is a dynamic system which can act as synchronized or self-synchronized stream cipher under specific conditions. To do the comparison, first we have a brief review of cryptography fundamentals like stream cipher systems, synchronized stream ciphers, and self-synchronized ones. Then, we consider chaos systems in general form and then we present their role in cryptography systems, and in continue by introducing switching cryptography systems and also CPSP cryptography systems, and analyzing their relation with self-synchronized stream ciphers, we do our statistical tests on them
Investigating One-pot Three Component Synthesis of ß-Amino Carbonyl Compounds Exploiting Hydrolases: Protein Splicing Enzyme and N-Acetylmuramide Glycanhydrolase
, M.Sc. Thesis Sharif University of Technology ; Kalhor, Hamidreza (Supervisor)
Abstract
The application of biocatalysts in organic reactions refers to the use of enzymes, purified or crude, to increase the reaction rate. The usage of biocatalysts in organic reactions have many advantages, including biocompatibility, ease of separation, high yield, reusability without losing activity, high selectivity, and the use of water as the solvent. Furthermore, the carbon–carbon bond formation is one of the most important reactions in the synthesis of organic compounds, drugs, and biomolecules. Using enzymes in organic reactions can provide insightful information about the enzymes catalytic activities and paves the way for systematic investigation of their mechanisms. The enzymes...
Application of Semi-Supervised Learning in Image Processing
, M.Sc. Thesis Sharif University of Technology ; Rabiee, Hamidreza (Supervisor)
Abstract
In recent years, the emergence of semi-supervised learning methods has broadened the scope of machine learning, especially for pattern classification. Besides obviating the need for experts to label the data, efficient use of unlabeled data causes a significant improvement in supervised learning methods in many applications. With the advent of statistical learning theory in the late 80's, and the emergence of the concept of regularization, kernel learning has always been in deep concentration. In recent years, semi-supervised kernel learning, which is a combination of the two above-mentioned viewpoints, has been considered greatly.
Large number of dimensions of the input data along with...
Large number of dimensions of the input data along with...
A General Theorem For Portfolio Generating Functions
, M.Sc. Thesis Sharif University of Technology ; Farhadi, Hamidreza (Supervisor)
Abstract
Portfolio generating functions are positive twice continuously differentiable functions of the common or ranked market weights. The return on such portfolios related to the market with a stochastic differential equation that has two components: the logarithmic change in the value of the generating function, and a drift process that is of bounded variation. The goal of this study is to generalized portfolio generating functions theorem for ’ functions, in order to cover some important functions in economic such as Gini coefficients
An Application of Algebraic Topology to Computer Sciences
, M.Sc. Thesis Sharif University of Technology ; Fanai, HamidReza (Supervisor)
Abstract
In this thesis we study one of the applications of algebraic topology to computer science and define some tools to analyze concurrent programs. For this purpose a geometric space is corresponded to every concurrent program and a partial order is considered on this space, so every path on it corresponds to an execution of the program. Some of these paths which are dihomotop (homotop in partial ordered spaces) with each other induce the same execution of the program. By defining “Fundamental Category” in which objects are points of the space and morphisms are dihomotopy classes, the space that should be analyzed shrinks to a smaller one. By defining component category in the next step, without...
Claims Prevention Management & Counter Claim Management in Oil Industry Projects of Iran
, M.Sc. Thesis Sharif University of Technology ; Ebrahimi, Nasrollah (Supervisor) ; Mortaheb, Mohammad Mehdi (Supervisor)
Abstract
In recent years, frequent involvements in claims have been inevitable due to unpredictable economic changes and increasing complexities in construction industry. Therefore, even appropriately made contracts are not exempted from claims. On the other hand, construction contract claims are time-consuming, expense-involving and most likely leading to unsatisfactory results. However, there may be some positive outcomes, such as time extension or compensation of damages. To launch investigationson claim management, a list of important and frequent claims in oil and gas industry projects of Iran was extracted after a succinct documents review. Further, the most important claim causes were...
A Survey Of Topological,Algebraic And C ∗-Algebraic K-Theory
, M.Sc. Thesis Sharif University of Technology ; Fanai, Hamidreza (Supervisor)
Abstract
In this thesis we study three versions of K−theory. The most well-known vesrsion is topological K−theory, a generalization of Grothendieck works on algebraic varieties to the topological setting by Atyiah and Hirzebruch. Since its birth it has been an indespensible tool in topology,differential geometry and index theory. In the early 1970s C∗−algebraic version of K−theory introduced through associating two abelian groups,K0(A)and K1(A)to a C∗−algebra like A. These functors proved to be a powerful machine, making it possible to calculate the K−theory of a great many C∗−algebras. At last,algebraic K−theory is dealig with linear algebra over a ring R by associating it, a sequence of abelian...
Causes of common and frequent claims in oil, gas and petrochemical projects of Iran
, Article KSCE Journal of Civil Engineering ; Volume 18, Issue 5 , June , 2014 , Pages 1270-1278 ; ISSN: 12267988 ; Mortaheb, M. M ; Ahmadian, F. F. A ; Sharif University of Technology
2014
Abstract
Over recent years, frequent involvements in claims have been inevitable due to unpredictable economic changes and increasing complexities in construction industry. Therefore, even appropriately made contracts are not exempted from claims. On the other hand, construction contract claims are time-consuming, expense-involving and most likely leading to unsatisfactory results. However, there may be some positive outcomes, such as time extension or compensation of damages. To launch investigations, a list of important and frequent claims in oil and gas industry projects of Iran was extracted after a succinct documents review. Further, the most important claim causes were identified through...
Application of decision tree, artificial neural networks, and adaptive neuro-fuzzy inference system on predicting lost circulation: A case study from Marun oil field
, Article Journal of Petroleum Science and Engineering ; Volume 177 , 2019 , Pages 236-249 ; 09204105 (ISSN) ; Talebkeikhah, M ; Agin, F ; Talebkeikhah, F ; Hasheminasab, E ; Sharif University of Technology
Elsevier B.V
2019
Abstract
One of the most prevalent problems in drilling industry is lost circulation which causes intense increase in drilling expenditure as well as operational obstacles such as well instability and blowout. The aim of this research is to develop smart systems for estimating amount of lost circulation making able to use appropriate prevention and remediation methods. To obtain this aim, a large data set were collected from 61 recently drilled wells in Marun oil field in Iran to be used for developing relevant models. After that, using the extracted data set consisting of 1900 data subset, intelligent prediction models including decision tree (DT), adaptive neuro-fuzzy inference systems (ANFIS),...
Child Effect on Female Employment: Evidence from Iran with a Structural Approach
, M.Sc. Thesis Sharif University of Technology ; Keshavarz Haddad, Gholamreza (Supervisor) ; Moeini, Safoura (Supervisor)
Abstract
This research answers two questions: First, what effect does the increase in the number of children have on women's employment? Second, what is the magnitude of the effect of increasing the number of children on the potential employment rate of Iranian women? To address the first question, we use Heckman's reduced form regression along with a structural model of female labor supply. We use the Simulated Method Moments (SMM) to estimate the structural equations. Our data for the empirical analysis are taken from the Iranian Households’ Income and Expenditures Surveys in urban areas over the years 1990 to 2020. We use the estimated model to measure the potential increase in female employment...
An Application of Stochastic Optimal Control in Solving the Mean-variance Portfolio Selection Problem
, M.Sc. Thesis Sharif University of Technology ; Farhadi, Hamidreza (Supervisor)
Abstract
In this essay, by putting in the framework of linear-quadratic optimal control (LQ),we study and solve the mean-variance portfolio selection problem. Two models will be studied in our work; in one we assume that the price process satisfies a diffusion stochastic differential equation, while in the second model, we assume it to satisfy a jump-diffusion stochastic differential equation. In both models, a formula for the efficient frontier is obtained. This essay is mainly obtained from the works of the following articles and books:
1)X.Y. Zhou and D. Li, Continuous-Time Mean-Variance Portfolio Selection:A Stochastic LQ Framework. Applied Mathematics and Optimization. 42(2000),...
1)X.Y. Zhou and D. Li, Continuous-Time Mean-Variance Portfolio Selection:A Stochastic LQ Framework. Applied Mathematics and Optimization. 42(2000),...
Customer Churn Prediction in Therapy Policy in Iran
, M.Sc. Thesis Sharif University of Technology ; Aslani, Shirin (Supervisor) ; Arian, Hamidreza (Supervisor)
Abstract
Using customer relationship management systems has led to the formation of databases containing businesses customer information. Increased competition in the markets, limited resources and high costs of attracting new customers compared to retaining existing customers have made customer retention an inevitable subject for business owners. Meanwhile, insurance companies, which due to their long history have suitable databases of product information and their customers, have resorted to using their databases to manage the relationship with their customers. In this research, while predicting customers churn in health insurance, as one of the most widely used products of domestic insurance...
Experimental Removal of Diesel in Soil Using Indigenous Microorganisms Isolated Iran
, M.Sc. Thesis Sharif University of Technology ; Kariminia, Hamidreza (Supervisor) ; Yaghmaei, Soheila (Supervisor)
Abstract
Crude oil and petroleum products at the time of extraction, production and transportation cause serious contaminations in soil, water and environment. Biological methods have shown a promising effect for the cleanup of these hydrocarbon pollutants. Bioremediation employs the metabolic activity of microorganisms capable of using oil as their energy and carbon source. Biological methods are also less expensive than other cleanup technologies such as incineration and landfill. Large number of microbial stains have been discovered in nature, capable to degrade oil and petroleum products. Biological cleaning of oil contamination by microorganisms occurs naturally in the environment. It has been...
A Fine Grained Access Control Mechanism for Hybrid Mobile Applications in Android
, M.Sc. Thesis Sharif University of Technology ; Kharrazi, Mehdi (Supervisor) ; Rabiee, HamidReza (Co-Advisor)
Abstract
Hybrid mobile applications combine the features of Web technologies and native mobile apps. Like Web applications, they are implemented in portable, platform independent languages such as HTML and JavaScript. Like native apps, they have direct access to local device resources. In these programs, web contents are loaded into a web component, called WebView, which can render HTML5 pages and execute JavaScript code. In order for the web content to access the system resources, which are isolated from the content inside Web-View due to its sandbox, bridges need to be built between JavaScript and the native code. developers usually use third party plug-ins for native side of application. hybrid...
Estimation of a Portfolio's Value-at-Risk Using Variational Auto-Encoders
, M.Sc. Thesis Sharif University of Technology ; Arian, Hamidreza (Supervisor) ; Talebian, Masoud (Supervisor)
Abstract
One of the most crucial aspects of financial risk management is risk measurement. Advanced AI-based solutions can provide the proper tools for assessing global markets, given the complexity of the global economy and the violation of typical modeling assumptions. A new strategy for quantifying stock portfolio risk based on one of the machine learning models known as Variational Autoencoders is provided in this dissertation. The suggested method is a generative model that can learn the stocks' dependency structure without relying on assumptions about stock return covariance and produce various market scenarios using cross-sectional stock return data with a higher signal-to-noise ratio. We...
Fabrication of Appropriate Membrane for Treatment and Reuse of Grey Water
, M.Sc. Thesis Sharif University of Technology ; Mousavi, Abbas (Supervisor) ; Kariminia, Hamidreza (Supervisor)
Abstract
In this study preparation of polymeric membrane for grey water treatment is examined. Grey water is the wastewater that is produced by household activities such as baths, showers and sinks. These sources make 50 to 80 percent of total household wastewater. Because of low contamination of these kind of wastewater, they can be treated with Nanofiltration membrane process. Membrane used for treatment is thin composite polyamide membrane. This membrane is made with interfacial polymerization reaction of Piperazine and m-phenylenediamine as amine monomer and trimesoyl chloride as chloride acid monomer on a Polysulfone ultrafiltration membrane. In order to promote the flux, Polyethylene glycol is...
Investor Experience in Chabahar Free Zone: Scale Generation
, M.Sc. Thesis Sharif University of Technology ; Najmi, Manoochehr (Supervisor) ; Arian, Hamidreza (Supervisor)
Abstract
Free economic zones in Iran have been established with the goal of developing infrastructure, improving living conditions, fostering economic growth, attracting capital and increasing income, productive job creation, regulating job and goods market, maintaining active presence in international and regional markets, manufacturing and exporting of goods and providing public services. Yet many free economic zones have fallen short of these goals. Considering the government's inability to fund the development of the free economic zones with its limited financial capacity and shortcomings in terms of management system, it is imperative to the development of these regions that private sector...
Effect of Salinity on MLE Process Function
,
M.Sc. Thesis
Sharif University of Technology
;
Borghei, Mehdi
(Supervisor)
;
Kariminia Hamedani, Hamidreza
(Supervisor)
Abstract
Removing nitrogen, as one of the most important contaminants of surface and ground water, needs to be considered. Since this material minimizes water quality and makes it useless. On the other hand, many industries as refineries have saline wastewater which their salinity removal is not economical by physical and chemical methods and is often impossible. Although biological treatment of saline wastewater has its problems, biological nitrification and denitrification are efficient and economical methods for nitrogen removal from industries saline wastewater. In this research, moving bed biofilm reactor (MBBR) adopted from Modified LUDZACK – ETTINGER (MLE) method has been used in order to...
Estimation of water coverage ratio in low temperature PEM-fuel cell using deep neural network
, Article IEEE Sensors Journal ; Volume 20, Issue 18 , May , 2020 , Pages 10679-10686 ; Alasty, A ; Boroushaki, M ; Khodsiani, M. H ; Hasheminasab, M. R ; Kermani, M. J ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2020
Abstract
Proton exchange membrane fuel cell (PEMFC) is a rich source of renewable energy. A non-destructive prediction method is needed to determine the content of water in the PEMFC. In the gas channel of a transparent PEMFC, water is detected with image processing. This method has a high computational cost and is sensitive to the initial position of the camera and ambient lighting. In this paper, the deep neural network (DNN) has been trained to learn the transparent PEMFC's labeled images as a way to determine the content of water, limit human interference and employed in a real-time process. This DNN model is a virtual sensor for measuring the water coverage ratio. To produce the label of images,...