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talaei-mosbat--masoud
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The Effect of Different Stresses in the Three Principal Directions on Horizontal Fractured Formation
, M.Sc. Thesis Sharif University of Technology ; Goodarznia, Iraj (Supervisor)
Abstract
Nowadays, we know that many hydrocarbon reservoirs are fractured regarding this, the investigation of the properties of these reservoirs is necessary to predict the storage, production and the drilling methods. To identify fractured reservoirs, the fracture properties and their geometries under different conditions should be investigated. Besides, the evaluation of the behavior of induced fractures in distinct under ground conditions is very important. The Mechanical properties of the drilling bed like crack propagation, layer and mass rock is impactful in planning of drilling process and hydraulic fracturing operation. In this research, at first we introduce natural and induced fractures...
Baseline Design of the Exergy Recovery and Solar Heating System at the Gas Pressure Reduction Station and its Technical, Economical, and Environmental Assessments
, M.Sc. Thesis Sharif University of Technology ; Saboohi, Yadollah (Supervisor)
Abstract
As producing and consuming of natural gas has increased in recent years, improving natural gas distribution and transfer network systems has become vital. Pressure reduction station (PRS) is an important part of the natural gas network. Common PRSs are facing two issues: first is the pressure reduction technology, which is throttling valve that destroys the exergy of the high pressure flow. The solution is to utilize turbo-expander instead which can recover the energy. Second is the preheating technology which is boiler and water bath heater in the common systems that cause environmental problems. Using solar collectors is one of the best solution based on the literature. Since the solar...
Assessment of Greenhouse Gas Mitigation Potential from Energy System
, M.Sc. Thesis Sharif University of Technology ; Soltanieh, Mohammad (Supervisor) ; Saboohi, Yadollah (Supervisor)
Abstract
Globally energy system is the main source of green house gas emission. 60-90 percent of manmade CO2 is due to energy sector. Pollutants like NOx, CO, Non Methane Hydrocarbons which may cause indirect effect on climate system are mainly emitting from energy sector. Gas, Oil and Coal extraction and transmission are responsible for more than 15% of Methane emission globally. Therefore it is important to consider all types of GHGs emission as well as all sectors of energy system to assess the GHGs mitigation potential throughout the energy system. Considering the significance of energy sector in GHGs emission, in this study we developed an optimized model for Iran’s energy sector in which we ran...
Application of Artificial Intelligence for Predicting CO2 Emission Using Weighted Multi-Task Learning
, Article Energies ; Volume 16, Issue 16 , 2023 ; 19961073 (ISSN) ; Astaneh, M ; Ghiasabadi Farahani, E ; Golzar, F ; Sharif University of Technology
Multidisciplinary Digital Publishing Institute (MDPI)
2023
Abstract
Carbon emissions significantly contribute to global warming, amplifying the occurrence of extreme weather events and negatively impacting the overall environmental transformation. In line with the global commitment to combat climate change through the Paris Agreement (COP21), the European Union (EU) has formulated strategies aimed at achieving climate neutrality by 2050. To achieve this goal, EU member states focus on developing long-term national strategies (NLTSs) and implementing local plans to reduce greenhouse gas (GHG) emissions in alignment with EU objectives. This study focuses on the case of Sweden and aims to introduce a comprehensive data-driven framework that predicts CO2...
Predicting oil price movements: A dynamic Artificial Neural Network approach
, Article Energy Policy ; Vol. 68, issue , 2014 , p. 371-382 ; Amiri, R. M ; Talaei, A ; Jamasb, T ; Sharif University of Technology
2014
Abstract
Price of oil is important for the economies of oil exporting and oil importing countries alike. Therefore, insight into the likely future behaviour and patterns of oil prices can improve economic planning and reduce the impacts of oil market fluctuations. This paper aims to improve the application of Artificial Neural Network (ANN) techniques to prediction of oil price. We develop a dynamic Nonlinear Auto Regressive model with eXogenous input (NARX) as a form of ANN to account for the time factor. We estimate the model using macroeconomic data from OECD countries. In order to compare the results, we develop time series and ANN static models. We then use the output of time series model to...
Towards a reliable modulation and encoding scheme for internet of things communications
, Article 13th IEEE International Conference on Application of Information and Communication Technologies, AICT 2019, 23 October 2019 through 25 October 2019 ; 2019 ; 9781728139005 (ISBN) ; Safaei, B ; Talaei, K ; Hosseini Monazzah, A. M ; Ejlali, A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
As the emergence of Internet of Things (IoT) brings the realization of ubiquitous connectivity ever closer, our reliance on these applications gets more important. Nowadays, such connected devices could be found everywhere, from home appliances to industrial control systems and environmental monitoring applications. One of the main challenges in IoT infrastructures is that of reliability, which emboldens itself in the context of Low-power and Lossy Networks (LLN) as they are inherently prone to packet loss as a result of their environmental and design constraints. Therefore, reliability of IoT devices becomes crucially important. With communication, the most important consideration in these...
Enhancing Compound and Gene Image-based Profiling for Drug Discovery and Validation based on Structural/Computational Methods
, M.Sc. Thesis Sharif University of Technology ; Rohban, Mohammad Hossein (Supervisor) ; Kalhor, Hamid Reza (Supervisor)
Abstract
The image-based profile is a technology by which image morphology information is transformed into a multidimensional profile from a set of image-derived features. These profiles can be used to extract biologically meaningful biological information. For example, in the drug discovery process, the mechanism of action of a drug or disease can be identified by examining the morphological properties of the drug in the patient’s cell or tissue and used to design new drugs or use existing drugs for various diseases. High-throughput imaging technology allows the imaging of a large number of different experiments. Extracting valuable features and a good representation of features is the main...
Introduction and evaluation of attachability for mobile IoT routing protocols with markov chain analysis
, Article IEEE Transactions on Network and Service Management ; Volume 19, Issue 3 , 2022 , Pages 3220-3238 ; 19324537 (ISSN) ; Taghizade, H ; Hosseini Monazzah, A. M ; Talaei Khoosani, K ; Sadeghi, P ; Mohammadsalehi, A ; Henkel, J ; Ejlali, A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
Reliability of routing mechanisms in wireless networks is typically measured with Packet Delivery Ratio (PDR). Basically, PDR is reported with an optimistic assumption that the topology is fully constructed, and the nodes have started their packet transmission. This is despite the fact that prior to being able to transmit packets, nodes must first join the network, and then try to keep connected as much as possible. This is a key factor in the overall reliability provided by the routing protocols, especially in mobile IoT applications, where disconnections occur frequently. Nevertheless, there is a lack of appropriate metrics, which could evaluate the routing mechanisms from this...
Stock Price Prediction Based on Shareholders Trading Behavior
, M.Sc. Thesis Sharif University of Technology ; Habibi, Jafar (Supervisor)
Abstract
Nowadays, the capital market has a significant impact on the economy of a country and causes economic dynamism and growth in gross production. Among the important phenomena in the stock market is stock pricing, the correctness or incorrectness of which has a significant role in the performance of the stock market and the value of companies. The stock price in the stock exchange represents the stock market value and usually represents the investment value of the shareholders. Forecasting the trend of the stock market is considered an important and necessary thing and has been given much attention, because the successful forecasting of the stock price may lead to attractive profits by making...
Upgrading and Developing The Performance of One of the Gas Turbine Engine Secondary air System Components using CFD
, Ph.D. Dissertation Sharif University of Technology ; Darbandi, Masoud (Supervisor)
Abstract
Numerical three-dimensional simulation of the entire regions of a gas turbine blade, including hot gas flow over the blade surface, conduction heat transfer within the blade metal, and coolant flow through the Internal cooling System, is highly time-consuming and expensive. Therefore, one-dimensional internal flow simulation is one of the main objectives of this research to address the limitations of commercial software in predicting the temperature distribution along the cooling path. In this study, a one-dimensional in-house simulation code is developed to simulate the coolant flow inside the cooling channels of the internal cooling system of the blade. Additionally, using artificial...
Electrodialysis of Llithium from Spent Lithium-Ion Battries
, M.Sc. Thesis Sharif University of Technology ; Askari, Masoud (Supervisor)
Abstract
In this study, Lithium recovery process from lithium-ion battery was investigated by electrodialysis method. First, the cathode of the battery was leached in NMP to separate cathode from aluminum foil. Then, the cathode was leached in sulfuric acid with concentration 3.25 M and 10 volume percent hydrogen peroxide that pulp density was 55 g/L at 60°C for 100 minutes. in the next step, an electrodialysis cell was designed and created to recover lithium. And the influence of time, voltage, flow rate of feed solution, concentration of electrode solution and concentration of feed solution on process was investigated. Purpose of this project were investigated lithium ion recovery rate, lithium...
Improving the Performance of Graph Filters and Learnable Graph Filters in Graph Neural Networks
, M.Sc. Thesis Sharif University of Technology ; Babaiezadeh, Masoud (Supervisor)
Abstract
Graph signals are sets of values residing on sets of nodes that are connected via edges. Graph Neural Networks (GNNs) are a type of machine learning model for working with graph-structured data, such as graph signals. GNNs have applications in graph classification, node classification, and link prediction. They can be thought of as learnable filters. In this thesis, our focus is on graph filters and enhancing the performance of GNNs. In the first part, we aim to reduce computational costs in graph signal processing, particularly in graph filters. We explore methods to transform signals to the frequency domain with lower computational cost. In the latter part, we examine regulations in...
Polylactic Acid/Polyethylene Glycol/Cellulose Nanocrystals Composites
, M.Sc. Thesis Sharif University of Technology ; Frounchi, Masoud (Supervisor)
Abstract
Recent advancements in polymer science highlight the growing interest in enhancing polymeric materials with nanoparticles. These materials have extensive applications in tissue engineering, food packaging, and drug delivery due to their biodegradability, sustainable sourcing, and comparable properties to petroleum-based polymers.This study explores composites of polylactic acid, polyethylene glycol, and nanocrystalline cellulose for controlled ciprofloxacin release. Antibacterial activity was assessed through inhibition zone measurements, and cytotoxicity was evaluated using cell viability assays. Results demonstrated a direct correlation between drug release and antibacterial efficacy. Drug...
The Impact of Using BIM Technology on the Business and Management of Construction Product Manufacturing Companies in Iran
, M.Sc. Thesis Sharif University of Technology ; Mofid, Masoud (Supervisor)
Abstract
The construction industry is undergoing a profound transformation driven by technological advancements, with Building Information Modeling (BIM) at the center of this change. BIM is not merely a tool but a comprehensive process that enhances the design, management, and execution of construction projects by integrating advanced digital technologies. Globally, BIM has proven its ability to address complex project challenges, optimize stakeholder collaboration, reduce costs, and improve efficiency. However, BIM adoption in Iran, particularly among construction product manufacturers, remains limited. While other stakeholders have gradually embraced this technology, this limitation has hindered...
Designing, Manufacturing and Evaluating Water Flow Measuring System Based on Audio Signal Analysis
, M.Sc. Thesis Sharif University of Technology ; Aryanpour, Masoud (Supervisor)
Abstract
The ever-increasing applications of fluids in residential areas as well as in main industries require investment to advance and optimize fluid control and their real-time flow rate monitoring. Numerous methods have been developed for measuring fluid flow rates, particularly for water. This study focuses on the design and evaluation of a sound-based water flow measurement system. As the first test, a microphone was placed on the water pipe, and through time-domain analysis, a second-degree relationship was found between the pressure amplitude of the signal and the flow rate to increase the accuracy of signal processing. Analysis of the signal-to-noise ratio revealed that the vibration of the...
The Impact of Dutch Disease and Sovereign Wealth Funds on the Composition of Oil-Exporting Countries’ Manufacturing Sector
, M.Sc. Thesis Sharif University of Technology ; Nili, Masoud (Supervisor)
Abstract
This research examines the impact of indirect network effects in platforms on the likelihood of success for platform complements. The main question addressed by this study is: How does a larger number of complements in a platform ecosystem, through access to diverse resources and knowledge, influence the enhancement of innovation and the likelihood of success for platform complements? While the expansion of indirect networks creates more opportunities for innovation and access to resources on one hand, it may also lead to negative effects such as increased competition among complements and user confusion on the other. The goal of this research is to provide a comprehensive answer to these...
Alginate/CNC Hydrogel Nanocomposites as Adsorbents of Water Pollutants
, M.Sc. Thesis Sharif University of Technology ; Frounchi, Masoud (Supervisor)
Abstract
With the increase in population, industrial advancements, and urbanization, the demand for clean water resources has risen. However, industrial pollutants, particularly heavy metals, pose a significant threat to aquatic ecosystems, necessitating their removal from wastewater. Among various methods, surface adsorption using hydrogels has proven to be effective. This research aims to develop hydrogels from sodium alginate and carboxymethyl nanocellulose for the adsorption of heavy metals, specifically copper and nickel, from wastewater. The results indicate that increasing the percentage of nanocrystalline cellulose enhances the hydrogel's swelling rate, while higher alginate content...
Long Term Effective Factors on House Price of Metropolises of Iran
, M.Sc. Thesis Sharif University of Technology ; Nili, Masoud (Supervisor)
Abstract
The notable share of housing sector in GDP (approximately five percent) shows this sector’s relation with macroeconomic activities. On the other hand, House as an asset leads housing sector to be affected by monetary and fiscal variables. A dynamic panel data was used in this study to evaluate the relations between housing sector and some macroeconomic variables in metropolises of Iran. As results show, in long term growth of liquidity, GDP per capita and sharp ratio have positive effects, and land per capita has negative effect on housing price in metropolises of Iran. Price increases have not been equal in different cities. Inequality of land price between metropolises and between...
Estimating an Index of Iran’s Informal Economy in 1350-1386 With Concentration on the Impact of Government’s Intervention by EMIMIC Model (The Multiple Indicators-Multiple Causes Model and Error-Correction Model)
, M.Sc. Thesis Sharif University of Technology ; Nili, Masoud (Supervisor)
Abstract
In this research, an Index of Iran informal economy in response to the government interventions in credit, labor and product markets is stimated by EMIMIC model. To do this, first these interventions are measured using principal components analysis. In the model, the variables GDP and employment are used as indicators and taxation rates, government distortions in credit, labor and product markets, government expenditure, per capita income, unemployment and inflation as causes of the informal economy. We conclude these government interventions have affected Iran informal economy and their influence is more than indirect interventions influence such as taxation. The estimated index of Iran...
Water Quality Modeling of Urban Streams
, M.Sc. Thesis Sharif University of Technology ; Tajrishy, Masoud (Supervisor)
Abstract
With altering natural state and increasing impervious surfaces, traditional urbanization leads to deteriorating the environment and water catchments. During the years most efforts in order to control the urban runoff outflow, have been focused on quantity; and awareness about improving water quality has been raised just in the last few years and, which emphasizes on pollution source control. Standard water quality sampling methods are time consuming, expensive and because of sampling in broad geographic areas, difficult; however modeling is a more efficient way in assessing water quality and as worries about non-point source pollution grows, different kinds of models have been used to...