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rabiee--hamidreza
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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 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...
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...
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...
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...
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...
A perspective to the correlation between brain insulin resistance and alzheimer: medicinal chemistry approach
, Article Current Diabetes Reviews ; Volume 15, Issue 4 , 2019 , Pages 255-258 ; 15733998 (ISSN) ; Bagherzadeh, M ; Rabiee, M ; Sharif University of Technology
Bentham Science Publishers
2019
Abstract
Substantial terms have been recognized on the associated risk elements, comorbidities as well as, putative pathophysiological processes of Alzheimer disease and related dementias (ADRDs) as well as, type 2 diabetes mellitus (T2DM), a few from greatest important disease from the moments. Very much is considered regarding the biology and chemistry of each predicament, nevertheless T2DM and ADRDs are an actually similar pattern developing from the similar origins of maturing or synergistic conditions connected by aggressive patho-corporeal terms and continues to be ambiguous. In this depth-critique article, we aimed to investigate all possibilities and represented a novel and applicable...
A perspective to the correlation between brain insulin resistance and Alzheimer: Medicinal chemistry approach
, Article Current Diabetes Reviews ; Volume 15, Issue 4 , 2019 , Pages 255-258 ; 15733998 (ISSN) ; Bagherzadeh, M ; Rabiee, M ; Sharif University of Technology
Bentham Science Publishers
2019
Abstract
Substantial terms have been recognized on the associated risk elements, comorbidities as well as, putative pathophysiological processes of Alzheimer disease and related dementias (ADRDs) as well as, type 2 diabetes mellitus (T2DM), a few from greatest important disease from the moments. Very much is considered regarding the biology and chemistry of each predicament, nevertheless T2DM and ADRDs are an actually similar pattern developing from the similar origins of maturing or synergistic conditions connected by aggressive patho-corporeal terms and continues to be ambiguous. In this depth-critique article, we aimed to investigate all possibilities and represented a novel and applicable...
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...
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...
MVAR management using generator participation factors for improving voltage stability margin
, Article Journal of Applied Sciences ; Volume 9, Issue 11 , 2009 , Pages 2123-2129 ; 18125654 (ISSN) ; Sharif University of Technology
2009
Abstract
This study assesses the management of reactive power generation to improve the voltage stability margin using modal analysis technique. The simulation results show that after the optimal reactive power re-scheduling, the voltage stability margin of the system is improved and the active/reactive power losses are decreased. Improving the voltage stability margin of power system without adding new VAR (Volt Ampere Reactive) sources and changing the active power dispatch, is the most important advantage of proposed method. © 2009 Asian Network for Scientific Information
Artificial intelligence assisted with designing metal-organic frameworks (MOFs)
, Article Clinical and Translational Discovery ; Volume 3, Issue 3 , 2023 ; 27680622 (ISSN) ; Sharif University of Technology
Blackwell Publishing
2023
Abstract
This article discusses the role of artificial intelligence (AI) in the design and engineering of porous inorganic nanomaterials, with a special focus on metal-organic frameworks (MOFs). MOFs are highly porous nanomaterials with a large surface area, making them ideal for various applications, including gas storage, catalysis, and drug/gene delivery. Machine learning algorithms can analyze large datasets of MOF structures and properties to identify trends and correlations, and this information can be used to predict the properties of new MOFs. AI can also optimize MOF properties for specific applications, predict the optimal synthesis conditions for a given MOF structure, and design new...
Using Deep Neural Networks in Reinforcement Learning
, M.Sc. Thesis Sharif University of Technology ; Soleymani Baghshah, Mahdieh (Supervisor) ; Rabiei, Hamidreza (Supervisor)
Abstract
Reinforcement learning is a field of machine learning which is more similar to human training procedures.It uses reward signals to train an agent designed to act in that environment. Deep neural networks enhance the agent’s ability to determine and act better in its complex environment. Most previous works have addressed model-free agents, which ignore modeling details of the environment that in turn can be used to achieve better results. On the other hand, humans utilize a model-based approach in their decision-making process. They use their knowledge to predict the future and choose the action that leads them to a better state. To combine the benefits of model-based and model-free designs,...
Nanomaterials obtained from biowastes: applications for cancer therapy
, Article Nanomedicine: Technologies and Applications ; 2023 , Pages 469-482 ; 978-012818627-5 (ISBN); 978-012819301-3 (ISBN) ; Ahmadi, S ; Ghadiri, A. M ; Rabiee, M ; Webster, T. J ; Sharif University of Technology
Elsevier
2023
Abstract
Nanoparticles and nanomaterials in cancer therapy as well as in all biomedical applications have been heavily investigated over the last decade. In this manner, green synthesized nanomaterials have been vastly considered as promising, cost effective, and environmentally friendly components. Also, green synthesis methods could reduce cytotoxicity as well as increase the biocompatibility of the final products. In this chapter, the role of nanomaterials obtained from biowaste specifically for cancer therapy is discussed. © 2023 Elsevier Ltd. All rights reserved