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SAIR: significance-aware approach to improve QoR of big data processing in case of budget constraint
, Article Journal of Supercomputing ; Volume 75, Issue 9 , 2019 , Pages 5760-5781 ; 09208542 (ISSN) ; Goudarzi, M ; Sharif University of Technology
Springer New York LLC
2019
Abstract
Nowadays, a wide range of enterprises are faced with big data processing in different domains such as transaction operations, business calculations and analytical computations. Large-scale computing is an approach for big data processing. Due to the cost of large-scale computing and limitations of enterprise budgets, it is hardly possible to process all the input data and therefore the Quality of Result (QoR) may be affected. SAIR is an approach to improve QoR of big data processing for aggregative usages based on significance variety when there is a budget constraint. In this paper, the most significant data portions have been assigned to the most efficient resources in terms of time and...
Full Analysis Antenna Ferrite Disk in Range of Negative Permeability
, M.Sc. Thesis Sharif University of Technology ; Rejaei, Behzad (Supervisor)
Abstract
In wireless communication systems increasing the gain of antennas is seminal to increase in coverage and data transmission rate, and reducing the possible errors. One of the main factors for improving the antenna gain is matching the polarizations of the transmitter and the receiver antennas. Towards this end, both the transmitter and the receiver antennas should have the same axial ratio, specific direction and polarizations. As far as the flexibility of the direction angle between the transmitter and the receiver is concerned, the so-called circular polarization is preferred do the linear polarization. The antennas with circular polarizations are prominently utilized in satellites,...
Design and Fabrication of 2D Multi-Electrode Array (MEA)Devices to Evaluate Functionality of Neural Cell Network and Cardiac Cells
, M.Sc. Thesis Sharif University of Technology ; Fardmanesh, Mehdi (Supervisor)
Abstract
Microelectrode array technology is a broad platform for studying and characterization of the electrophysiological properties of excitable tissues derived from both brain and heart in vitro. Microelectrode arrays can either record or stimulate cells by accessing multiple sites of neural networks and cell tissues and detect signals from all sources around each electrode simultaneously. By using recorded signals, one can detect cell potential changes and its minor fluctuations. Unlike intracellular recording techniques, the noninvasive interface of microelectrode arrays with cells provides durable studying of neural networks and cell tissues. Using related microelectronics fabrication...
Robust Estimation and Control of a Planet Lander
, M.Sc. Thesis Sharif University of Technology ; Kiani, Maryam (Supervisor)
Abstract
This study has focused on the important problem of landing on a planet as an important current and future space mission. In this regard, dynamics modeling and integrated state estimation and control problems have been investigated in different views. To this aim, first a novel concurrent representation for translational and rotational kinematics has been developed based on the extension of modified Rodrigues parameters to dual space. This parameter set, called dual modified Rodrigues parameters (DMRP), is then utilized to establish an integrated roto-translational dynamic. The proposed DMRP-based kinematics and dynamics have been verified via comparison to traditional methods of...
Using Data Variety in Progressive Processing of Big Data in Cloud Environment
, Ph.D. Dissertation Sharif University of Technology ; Goudarzi, Maziar (Supervisor)
Abstract
Nowdays a large number of companies are faced with Big Data processing. Due to the lack of budget or time, it may not be possible to process all the input data. Data variety is one of the main features of Big Data. Considering Data variety can help us to solve the problem of resource capacity. In this research, we focused on the impact of data variety on the performance of Big Data processing. In the first part, we offer a solution for increasing the performance of progressive Big Data processing. We provide a simple low-overhead mechanism to quickly assess the significance of each data portion, and show its effectiveness in finding the best ranking of data portions. We continue by...
Error Correction with Partial Knowledge about the Noise
, M.Sc. Thesis Sharif University of Technology ; Memarzadeh, Laleh (Supervisor)
Abstract
Currently, quantum noise stands as one of the foremost challenges in the realization of quantum algorithms and the development of quantum technologies. Consequently, finding methods to eliminate or reduce the impact of noise is imperative. This thesis explores the possibility of correcting the expectation values of observables on a quantum system, specifically a qubit quantum system experiences quantum noise, given partial knowledge of the noise. We begin by reviewing essential background information, including some of the most common methods for correcting noise, with a particular focus on the noise deconvolution technique. Subsequently, we introduce our method for correcting the...
Treatment of bakers yeast wastewater with a Biopack system
, Article Process Biochemistry ; Volume 37, Issue 5 , 2001 , Pages 447-451 ; 13595113 (ISSN) ; Vossoughi, M ; Alemzadeh, I ; Sharif University of Technology
2001
Abstract
The purpose of this study was to investigate the use of a horizontal packed bed bioreactor, named Biopack, to treat high strength wastewater, such as bakers yeast wastewater. The Biopack system (RBCP) is a modified rotating biological contactor and the system was applied for secondary treatment. The RBCP system produced high treatment efficiencies, COD removal was 94.9% when COD was 472 mg/l and surface organic loading = 0.187 kg COD/m2 per day and surface hydraulic loading = 6 l/m2 per day. Variations of surface hydraulic loading from 6 to 11.9 l/m2 per day produced a decrease in COD removal efficiency from 94.9 to 58.6%. Other factors, such as shock load, retention time and rotational...
Analysis and Evaluation of Real Timeliness and Safety of VANET
,
M.Sc. Thesis
Sharif University of Technology
;
Jahangir, Amir Hossein
(Supervisor)
Abstract
The increasing number of road accidents and fatalities have yielded the introduction of several solutions by related industries such as automobile manufacture. Proposed solutions can be classified into two categories: passive, such as airbags, and active such as ABS ad ITS-based technologies. Inter vehicles communication let the communication between vehicles(V2V) or between vehicles and road infrastructure (V2I) by relying on DSRC technology and standards. Intelligent Transportation System (ITS) has three main types of applications namely safety, traffic and commercial. Safety applications are the main goal of vehicular communication, and real time guarantee in safety applications is so...
Chemometric-based determination of polycyclic aromatic hydrocarbons in aqueous samples using ultrasound-assisted emulsification microextraction combined to gas chromatography-mass spectrometry
, Article Journal of Chromatography A ; Volume 1413 , September , 2015 , Pages 117-126 ; 00219673 (ISSN) ; Sereshti, H ; Parastar, H ; Sharif University of Technology
Elsevier
2015
Abstract
In the present research, ultrasonic-assisted emulsification-microextraction (USAEME) coupled with gas chromatography-mass spectrometry (GC-MS) has been proposed for analysis of thirteen environmental protection agency (EPA) polycyclic aromatic hydrocarbons (PAHs) in aqueous samples. Tetrachloroethylene was selected as extraction solvent. The main parameters of USAEME affecting the efficiency of the method were modeled and optimized using a central composite design (CCD). Under the optimum conditions (9 μL for extraction solvent, 1.15% (w/v) NaCl (salt concentration) and 10min for ultrasonication time), preconcentration factor (PF) of the PAHs was in the range of 500-950. In order to have a...
Second-order calibration for the determination of fatty acids in pomegranate seeds by vortex-assisted extraction-dispersive liquid-liquid micro-extraction and gas chromatography-mass spectrometry
, Article RSC Advances ; Volume 5, Issue 15 , 2015 , Pages 11633-11643 ; 20462069 (ISSN) ; Sereshti, H ; Parastar, H ; Sharif University of Technology
2015
Abstract
Multivariate curve resolution-alternating least squares (MCR-ALS) as a second-order calibration algorithm was proposed for the simultaneous analysis of eighteen fatty acid methyl esters (FAMEs) in a standard mixture and pomegranate seed sample using vortex-assisted extraction-dispersive liquid-liquid microextraction (VAE-DLLME), followed by gas chromatography-mass spectrometry (GC-MS). The chemometric resolution, identification and quantification of the target FAMEs in the standard mixture and real sample (i.e., the pomegranate seed) were carried out successfully in the presence of some uncalibrated interferences. The lack of fit (LOF) and reverse match factor (RMF) were used for the...
Gapprox: using gallup approach for approximation in big data processing
, Article Journal of Big Data ; Volume 6, Issue 1 , 2019 ; 21961115 (ISSN) ; Goudarzi, M ; Foroutan, F ; Sharif University of Technology
SpringerOpen
2019
Abstract
As Big Data processing often takes a long time and needs a lot of resources, sampling and approximate computing techniques may be used to generate a desired Quality of Result. On the other hand, due to not considering data variety, available sample-based approximation approaches suffer from poor accuracy. Data variety is one of the key features of Big Data which causes various parts of data to have different impact on the final result. To address this problem, we develop a data variety aware approximation approach called Gapprox. Our idea is to use a kind of cluster sampling to improve the accuracy of estimation. Our approach can decrease the amount of data to be processed to achieve the...
DV-DVFS: merging data variety and DVFS technique to manage the energy consumption of big data processing
, Article Journal of Big Data ; Volume 8, Issue 1 , 2021 ; 21961115 (ISSN) ; Foroutan, F ; Fathy, M ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2021
Abstract
Data variety is one of the most important features of Big Data. Data variety is the result of aggregating data from multiple sources and uneven distribution of data. This feature of Big Data causes high variation in the consumption of processing resources such as CPU consumption. This issue has been overlooked in previous works. To overcome the mentioned problem, in the present work, we used Dynamic Voltage and Frequency Scaling (DVFS) to reduce the energy consumption of computation. To this goal, we consider two types of deadlines as our constraint. Before applying the DVFS technique to computer nodes, we estimate the processing time and the frequency needed to meet the deadline. In the...
DV-DVFS: merging data variety and DVFS technique to manage the energy consumption of big data processing
, Article Journal of Big Data ; Volume 8, Issue 1 , 2021 ; 21961115 (ISSN) ; Foroutan, F ; Fathy, M ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2021
Abstract
Data variety is one of the most important features of Big Data. Data variety is the result of aggregating data from multiple sources and uneven distribution of data. This feature of Big Data causes high variation in the consumption of processing resources such as CPU consumption. This issue has been overlooked in previous works. To overcome the mentioned problem, in the present work, we used Dynamic Voltage and Frequency Scaling (DVFS) to reduce the energy consumption of computation. To this goal, we consider two types of deadlines as our constraint. Before applying the DVFS technique to computer nodes, we estimate the processing time and the frequency needed to meet the deadline. In the...
Solvatochromic Parameters Effects Study on Kinetics of Aromatic Nucleophilic Substitution Reaction in Mixture of Ionic Liquid and Alcoholic Solvents
,
M.Sc. Thesis
Sharif University of Technology
;
Gholami, Mohammad Reza
(Supervisor)
Abstract
Solute-solvent and solvent-solvent interactions were investigated in mixtures of ethylammonium propionate with methanol, ethanol, isopropanol and propanol. Solvatochromic parameters, including normalized polarity ( ), polarity/dipolarizability (p*), hydrogen-bond donor (a), and hydrogen-bond acceptor (ß) abilities, were determined in these mixtures. Parameters showed synergetic effects in mixtures of ionic liquid and alcohols due to the preferential solvation. General polarity shows an ideal behavior in all mixtures, polarity/dipolarizability exhibit increasing profile in all mixtures preferential salvation caused nonideal behavior for hydrogen-bond acceptor parameter Solvent...
Preparation and Characterization of Inhibitor Loaded Nanodiamond for Anticorrosion Coating
, M.Sc. Thesis Sharif University of Technology ; Shojaei, Akbar (Supervisor) ; Pirhadi, Nahid (Co-Supervisor)
Abstract
In recent years, nanodiamond (ND) has been used as reinforcement in polymeric nanocomposites in order to improve mechanical properties, thermal conductivity, etc. The surface of nanodiamond has several functional groups which make it appropriate adsorbent. In this study, nanodiamond was modified with dodecylamine corrosion inhibitor and was utilized (1wt %) in epoxy based nanocomposite. Fourier transform infrared spectroscopy (FTIR) analysis was used to confirm the surface modification of Nanodiamond. In order to estimate the loading amount of corrosion inhibitor, thermogravimetric analysis was investigated. FE-SEM analysis demonstrated nanoparticle dispersibility in epoxy matrix. Regarding...
Synthesis and Characterization of Anticorrosive Hybrid Epoxy Coating based on Polyaniline/Nanodiamond Nanostructures
, M.Sc. Thesis Sharif University of Technology ; Shojaei, Akbar (Supervisor) ; Pirhady, Nahid (Co-Advisor)
Abstract
One of the ways that corrosion control is presented is the use of coatings that have good properties such as high adhesion, impact resistance, ultraviolet radiation, and so on. They also have other unique properties like anti-corrosion property. To achieve coatings with these advanced properties, they use special properties of nanocomposites. Nanocomposites can add or improve one or more properties to coating properties.In the present study, we tried to first synthesize NanoDiamond/Polyaniline hybrid nanoparticles in different percentages and then use this hybrid in epoxy ester coating. To characterize this hybrid, various analyzes such as FE-SEM, TEM, FT-IR, UV-Visible, TGA and XRD were...
Production of low ester (LM) pectin by de-esterification of high ester (HM) apple pectin
, Article Scientia Iranica ; Volume 12, Issue 3 , 2005 , Pages 306-310 ; 10263098 (ISSN) ; Saifkordi, A. A ; Kahforooshan, D ; Nahid, P ; Sharif University of Technology
Sharif University of Technology
2005
Abstract
In this paper, LM pectin production from commercial apple pectin by using acid, alkali and ammonia methods in the presence of ethanol was studied. Also, the effect of different parameters such as, temperature, time, acid, alkali and ammonia treatment in LM pectin production were evaluated. In all the experiments, low temperature showed a better influence from a recovery, purity and low de-polymerization viewpoint. Optimum conditions in the acid method reached at pH = 2, t = 17 hrs and T = 30°C, in the alkaline method reached at pH = 11, t = 3 hrs and T = 5°C and in the ammonia method reached at 2 N ammonia and T = 5°C, were determined. © Sharif University of Technology
A novel Markov random field model based on region adjacency graph for T1 magnetic resonance imaging brain segmentation
, Article International Journal of Imaging Systems and Technology ; Volume 27, Issue 1 , 2017 , Pages 78-88 ; 08999457 (ISSN) ; Yousefi, S ; Manzuri Shalmani, M. T ; Sharif University of Technology
John Wiley and Sons Inc
2017
Abstract
Tissue segmentation in magnetic resonance brain scans is the most critical task in different aspects of brain analysis. Because manual segmentation of brain magnetic resonance imaging (MRI) images is a time-consuming and labor-intensive procedure, automatic image segmentation is widely used for this purpose. As Markov Random Field (MRF) model provides a powerful tool for segmentation of images with a high level of artifacts, it has been considered as a superior method. But because of the high computational cost of MRF, it is not appropriate for online processing. This article has proposed a novel method based on a proper combination of MRF model and watershed algorithm in order to alleviate...
Synthesis and Characterization of a Copper Catalyst for Low Temperature Water –Gas Shift Reaction
, M.Sc. Thesis Sharif University of Technology ; Khorasheh, Farhad (Supervisor) ; Khandan, Nahid (Co-Advisor)
Abstract
Water Gas Shift (WGS) reaction is an old reaction in which syngas is used for producing Hydrogen. At the present time, the major application of this reaction is in fuel cells, since the necessary Hydrogen for these cells is provided by this reaction.
The present study investigate the influence of different preparation methods on properties of Cu-ZnO/Al2O3 catalyst for water gas shift (WGS) reaction, which is now known as the Commercial catalyst for low temperature WGS, and its influence on performance of Cu-ZnO/Al2O3 catalyst to derive an optimal Cu-ZnO/Al2O3 catalyst for water gas shift (WGS) reaction. Cu-ZnO/Al2O3 catalysts was synthesized by CP, DP, DP-Ultra, IWI , CP-Urea, and...
The present study investigate the influence of different preparation methods on properties of Cu-ZnO/Al2O3 catalyst for water gas shift (WGS) reaction, which is now known as the Commercial catalyst for low temperature WGS, and its influence on performance of Cu-ZnO/Al2O3 catalyst to derive an optimal Cu-ZnO/Al2O3 catalyst for water gas shift (WGS) reaction. Cu-ZnO/Al2O3 catalysts was synthesized by CP, DP, DP-Ultra, IWI , CP-Urea, and...
Removal of an organic pollutant from waste water by photocatalytic behavior of AgX/TiO2 loaded on mordenite nanocrystals
, Article Research on Chemical Intermediates ; Volume 38, Issue 8 , 2012 , Pages 1975-1985 ; 09226168 (ISSN) ; Salari, H ; Ahmadvand, S ; Gholami, M. R ; Sharif University of Technology
Springer
2012
Abstract
Mordenite (MOR) nanocrystals were synthesized using the hydrothermal method. Sol-gel and deposition methods were utilized to modify the zeolite surface with TiO2 and then AgBr or AgCl particles. Photocatalysts were characterized by using X-ray diffraction, Brunauer-Emmett-Teller (BET), and scanning electron microscopy techniques. Activity was evaluated by photodegradation of Acid Blue 92 as an azo dye. The effect of silver halide deposition on the photocatalytic behavior of the prepared nanocomposites was studied under both ultraviolet (UV) and visible light, and the results were compared. The results showed that AgCl/TiO2/MOR was more active under UV, while with visible source,...