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faramarzi-babadi--alireza
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Model Predictive Control Based on Hybrid Neural Networks of a Fedbatch Yeast Production Fermenter
, M.Sc. Thesis Sharif University of Technology ; Pishvaie, Mahmood Reza (Supervisor)
Abstract
Due to underlying dynamic factors, many bioprocesses operate in semi-batch or batch processes without fixed points of operation. As a result, linear model-based control is not straightforward for these processes. Additionally, optimal policy design and successful control of constrained systems depend on having an appropriate dynamic model within the process scope. In bioprocessing, synthesizing and controlling such dynamic models presents numerous challenges, as most relationships are quasi-monod and involve parameter estimation from nonlinear reactor data. One approach to addressing this issue is using black box models like neural networks. However, employing purely artificial neural...
Characteristics of heat and mass transfer in vapor absorption of falling film flow on a horizontal tube
, Article International Communications in Heat and Mass Transfer ; Volume 32, Issue 9 , 2005 , Pages 1253-1265 ; 07351933 (ISSN) ; Farhanieh, B ; Sharif University of Technology
2005
Abstract
The absorber is an important component in absorption machines and its characteristics have significant effects on the overall efficiency of absorption machines. This article reports on the results of numerical studies on the characteristics of falling film LiBr-H2O solution on a completely wetted horizontal tube and the associated vapor absorption in the Reynolds number range of 5 < Re < 100. The boundary layer assumptions are used for the transport of mass, momentum and energy equations and the finite difference method is employed to solve the governing equations in the film flow. The heat and mass transfer coefficients are expressed in the forms of Reynolds number, Prandtl number and...
Simulation of Graphene Nanoribbon based Photodetector
, M.Sc. Thesis Sharif University of Technology ; Faez, Rahim (Supervisor)
Abstract
In this work, we have simulated graphene nanoribbon based photodetector and impact of changing the width, and Boron-Nitride doping and Stone-Wales defects on the optical properties of GNR has study. The energy band structure of GNR with nearest-neighbor approximation in a tight binding model calculated. To correspond with experiment and accuracy, we need to consider the impact of third nearest neighbors and edge bond relaxation. By Using the band structure, we calculated joint density of state and optical matrix elements and obtain inter band selection rule for A-GNR and Z-GNR. Then, using the Fermi’s golden rule, we investigate optical properties of GNR such as optical conductivity and...
Theoretical Study of Metallochlorophylls of Forth Period Elements in Periodic Table
, M.Sc. Thesis Sharif University of Technology ; Parsafar, Gholamabbas (Supervisor)
Abstract
In this study, some properties of metallochlorophylls - compounds produced by replacing Mg2+ in tetrapyrrolic ring of chlorophyll b with divalent ions – of the forth period transit elements of the periodic table have been investigated. Using DFT/B3LYP method and DGDZVP basis set, structures of these compounds were optimized and the energy of electronic levels, Gibbs free energy of formation of complex, contribution of atomic orbitals to formation of molecular orbitals and partial charges in these molecules were computed. The results show that some properties of these complexes cannot be justified by the common theories of complexes. Among these properties is the negligible effect of...
An exact treatment of ellipsoid-substrate interactions
, Article EPL ; Volume 77, Issue 2 , 2007 ; 02955075 (ISSN) ; Ejtehadi, M. R ; Sharif University of Technology
2007
Abstract
We present an exact treatment of the pairwise surface interactions of biaxial ellipsoidal bodies and derive the exact explicit expressions for the attractive-repulsive Lennard-Jones(6-12) ellipsoid-substrate interactions. The applicability of the results at nanoscale as a coarse-grained description of molecule-substrate interactions has been studied through presenting parameterizations for a number of small biaxial molecules. The study concludes that the anisotropic coarse-grained potential reproduces the atomistic interactions of ellipsoid-like rigid molecules perfectly, with a negligible error of less than 3%. Copyright © EPLA, 2007
Partial Order Planning using Machine Learning Techniques
, M.Sc. Thesis Sharif University of Technology ; Ghassem-Sani, Gholamreza (Supervisor)
Abstract
Automated planning is a branch of artificial intelligence that studies intelligent agents’ decision making process.In planning, we can design agents that can decide on their own, about how to perform tasksthat are assigned to them. In classical planning, there is a restrictive assumption that actions in plans are totally ordered. By relaxing this restrictive assumption, partial order planninghas been created.Partial order planning uses a general principle, called the least commitment principle that results in a better performance than other classical planning methods. Yet, this branch of planning cannot compete with newer planning methods like heuristic search planning.That is why there has...
Analytical first derivatives of the RE-squared interaction potential
, Article Journal of Computational Physics ; Volume 219, Issue 2 , 2006 , Pages 770-779 ; 00219991 (ISSN) ; Ejtehadi, M. R ; Everaers, R ; Sharif University of Technology
Academic Press Inc
2006
Abstract
We derive exact expressions for the forces and torques between biaxial molecules interacting via the RE-squared potential, a recent variant of the Gay-Berne potential. Moreover, efficient routines have been provided for rigid body MD simulations, resulting in 1.6 times speedup compared to the two-point finite difference approach. It has also been shown that the time cost of a MD simulation will be almost equal to a similar MC simulation, making use of the provided routines. © 2006 Elsevier Inc. All rights reserved
Coarse-grained interaction potentials for anisotropic molecules
, Article Journal of Chemical Physics ; Volume 124, Issue 17 , 2006 ; 00219606 (ISSN) ; Everaers, R ; Ejtehadi, M. R ; Sharif University of Technology
2006
Abstract
We have proposed an efficient parametrization method for a recent variant of the Gay Berne potential for dissimilar and biaxial particles [Phys. Rev. E 67, 041710 (2003)] and demonstrated it for a set of small organic molecules. Compared with the previously proposed coarse-grained models, the new potential exhibits a superior performance in close contact and large distant interactions. The repercussions of thermal vibrations and elasticity have been studied through a statistical method. The study justifies that the potential of mean force is representable with the same functional form, extending the application of this coarse-grained description to a broader range of molecules. Moreover, the...
An adaptive feedback bit allocation method for wireless systems with transmit diversity
, Article 2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005, Kuala Lumpur, 14 November 2005 through 16 November 2005 ; 2005 , Pages 181-184 ; 1424400112 (ISBN); 9781424400119 (ISBN) ; Shariatpanahi, P ; Hossein Khalaj, B ; Sharif University of Technology
2005
Abstract
Using multiple antenna transmitters and/or receivers is becoming a common method for improving spectral efficiency of wireless channels. The physical layer of the next generation of WLAN systems (802.11n) is based on a Multiple Input Multiple Output (MIMO) system which seems to be an efficient solution for defects which could occur in wireless channels. In this paper, we investigate an adaptive bit allocation method to feed the quantized channel state data back to the transmitting antennas, depending on the channel condition in a Multiple Input Single Output (MISO) scheme. We have proposed an adaptive bit allocation scheme with a significant performance improvement over the fixed bit...
Nanoribbons of SnO2 as a high performance Li-ion battery anode material
, Article Materials Research Express ; Volume 5, Issue 6 , 2018 ; 20531591 (ISSN) ; Abnavi, A ; Ghasemi, S ; Sanaee, Z ; Sharif University of Technology
Institute of Physics Publishing
2018
Abstract
Here, SnO2 nanoribbons (NRs) synthetized on the catalyst-free stainless steel (SS) substrate as a possible anode for Li-ion batteries (LIBs) have been reported. SnO2 NRs were synthesized on catalyst-free SS substrate via vapor-solid (VS) growth approach. Morphological and structural characterizations of the SnO2 NRs were confirmed using scanning electron microscopy (SEM), transmission electron microscopy (TEM) microscopes and x-ray diffraction (XRD) respectively. The prepared binder-free electrode demonstrated high initial discharge/charge capacities of 1818/929 mAh g-1 at current density of 300 mA g-1. A reversible capacity of 676 mAh g-1 with a coulombic efficiency of 98.5% has been...
Numerical simulation of unsteady airflow in a nasal cavity for various sizes of maxillary sinus opening in a virtual endoscopic surgery
, Article Respiratory Physiology and Neurobiology ; Volume 291 , 2021 ; 15699048 (ISSN) ; Amjadimanesh, H ; Faramarzi, M ; Sadrizadeh, S ; Abouali, O ; Sharif University of Technology
Elsevier B.V
2021
Abstract
Functional endoscopic sinus surgery (FESS) is performed to treat sinusitis when treatment with medication fails. In the present study, three different virtual maxillary sinus endoscopic surgeries were performed on a realistic 3-D computational model of the nasal cavity of an adult male under the supervision of a specialist. They included only uncinectomy, uncinectomy + 8mm Middle Meatal Antrostomy (MMA) and uncinectomy + 18 mm MMA. Simulations were performed for two human activity respiratory rates, including rest and moderate activities, and effects of different surgeries and respiratory rates on maxillary sinus were investigated. It was found that after endoscopic sinus surgery, the volume...
Development of a Kinetic Model for Thermal Cracking of Aromatic Hydrocarbon Feeds
, M.Sc. Thesis Sharif University of Technology ; Khorasheh, Farhad (Supervisor) ; Ivakpour, Javad (Supervisor)
Abstract
Most refineries are looking for a process in order to remove heavy compounds and convert them into lighter, more valuable materials. Among the various remaining upgrade processes, non-catalytic heating processes are very attractive and have gotten a wider scope worldwide because the feed used for the upgrade process is high in metal and sulfur, which causes the catalyst surface to become toxic and inactive. Due to that, the thermal cracking process is more suitable for such feeds than the catalytic cracking process. Due to the reduction of sweet crude oil resources and the heavier refinery feeds and increase in amount of global fuel needs, refineries must process a larger share of feed in...
SnO2@a-Si core-shell nanowires on free-standing CNT paper as a thin and flexible Li-ion battery anode with high areal capacity
, Article Nanotechnology ; Volume 28, Issue 25 , 2017 ; 09574484 (ISSN) ; Sadati Faramarzi, M ; Abdollahi, A ; Ramzani, R ; Ghasemi, S ; Sanaee, Z ; Sharif University of Technology
Institute of Physics Publishing
2017
Abstract
Here, we report 3D hierarchical SnO2 nanowire (NW) core-amorphous silicon shell on free-standing carbon nanotube paper (SnO2@a-Si/CNT paper) as an effective anode for flexible lithium-ion battery (LIB) application. This binder-free electrode exhibits a high initial discharge capacity of 3020 mAh g-1 with a large reversible charge capacity of 1250 mAh g-1 at a current density of 250 mA g-1. Compared to other SnO2 NW or its core-shell nanostructured anodes, the fabricated SnO2@a-Si/CNT structure demonstrates an outstanding performance with high mass loading (∼5.9 mg cm-2), high areal capacity (∼5.2 mAh cm-2), and large volumetric capacity (∼1750 mAh cm-3) after 25 cycles. Due to the...
Invetigation Over Bio Elimination of Para Chlorophenol by Paraconiothyrium Fungal Strain Variabile
, M.Sc. Thesis Sharif University of Technology ; Yaghmaei, Soheila (Supervisor) ; Faramarzi, Mohammad Ali (Supervisor)
Abstract
The ability of Paraconiothyrium variabile, a soil isolated ascomycete, was investigated to remove para chlorophenol in submerged culture media. Among the tested para chlorophenol concentrations, concentration of 40 and 100 mg l-1were found to have minimum and maximum toxic effects, respectively, on the growth of the microorganism and at the same time high and low bioelimination percentages. The fungal strain was able to remove 86% of ρ-CP (with initial concentration of 40 mg l-1) but no significance removal observed at 100 mg l-1 concentration. Monitoring of laccase production level in the fermentation broth together with pollutant removal confirmed the key role of this copper containing...
Rcci Curvature for Metric-Measure Space via Optimal Transport
, M.Sc. Thesis Sharif University of Technology ; Bahraini, Alireza (Supervisor) ; Ranjbar Motlagh, Alireza (Co-Advisor)
Abstract
One of the important questions in mathematics is generalized. In case of metric spaces, one of the questions is: Can we extend notions of Riemannian geometry to arbitrary metric spaces smoothly? Ricci curvature is one of the most important concepts in differential geometry. Ricci curvature is defined for the Riemannian manifold and has many applications in mathematics and physics like Einstein’s equation in relativity theory. There is a good notion for a metric space having “sectional curvature bounded below by K” or “sectional curvature bounded above by K”, due to Alexandrov. Can we define the concept of Ricci curvature in metric space? A motivation for this question comes from Gromov’s...
, M.Sc. Thesis Sharif University of Technology ; Khaloo, Alireza (Supervisor)
Abstract
Seismic design codes reduce loads by using response modification factor. Because of the reserved strength in structural elements and capacity of structure to dissipate energy, structures can be designed for lower seismic loads. This factor has modified over time. In this thesis, the effect of the reduction in behavior factor on the response of two kinds of reinforced concrete systems were evaluated. Moment resisting frames and dual systems with different heights and regularity in plan, heve been design according to the behavior factor which is recommended in the 3rd edition of the Iranian codes of practice for seismic resistance design of buildings (Standard No. 2800). Drift and...
Prediction of Financial Markets Using Combination of Artificial Intelligence and Technical Analysis
, M.Sc. Thesis Sharif University of Technology ; Haji, Alireza (Supervisor)
Abstract
Generally, nowadays, machine learning methods are used in many different areas for their superiority over other methods of prediction. Although being a tough task, stock market prediction with machine learning approaches is being spread due to satisfying results published ever yday. Machine learning methods usually use varied kinds of data ,including structured data such as market data, technical indicators and some fundamental data as well as unstructured one entailing text and graph data in order to enhance their predictability capacity. In this thesis we aimed to find out more about the importance and the contribution of structured data in prediction and we tried to attain a framework...
Removal of chlorophenolic derivatives by soil isolated ascomycete of Paraconiothyrium variabile and studying the role of its extracellular laccase
, Article Journal of Hazardous Materials ; Volume 209-210 , 2012 , Pages 199-203 ; 03043894 (ISSN) ; Movahednia, M. M ; Yaghmaei, S ; Tabatabaei Sameni, M ; Rastegar, H ; Sadighi, A ; Faramarzi, M. A ; Sharif University of Technology
2012
Abstract
The ability of Paraconiothyrium variabile, a laccase producing ascomycete recently isolated from soil, was studied to eliminate chlorophenol derivatives in submerged culture medium. Among the tested compounds, ρ-chlorophenol (ρ-CP) and pentachlorophenol (PCP) were found to have minimum and maximum toxic effects, respectively, on the growth of the microorganism and at the same time high and low bioelimination percentages. The fungal strain was able to remove 86% of ρ-CP (with initial concentration of 40mgl -1) and 56% of 2,4-dichlorophenol (2,4-DCP; with same concentration as ρ-CP) after 9 days of incubation while no elimination was observed in the presence of 2,4,6-trichlorophenol...
Synthesis and characterization of 1-amidino-O-alkylureas metal complexes as α- glucosidase Inhibitors: Structure-activity relationship, molecular docking, and kinetic studies
, Article Journal of Molecular Structure ; Volume 1250 , 2022 ; 00222860 (ISSN) ; Daneshfar, M ; Daneshfar, Z ; Iraji, A ; Samandari Najafabad, A ; Faramarzi, M. A ; Mahdavi, M ; Sharif University of Technology
Elsevier B.V
2022
Abstract
In the present study, metal complexes of 1-amidino-O-alkylureas were designed, synthesized and characterized by elemental analyses, FT-IR spectra, XRD, Mass analyses and scanning electron microscopy (SEM). All synthesized complexes were screen as α-Glucosidase inhibitors. According to the in vitro results, the Cu (II) complexes showed superior potency compared to other tested metal complexes. Particularly, [Cu(L-Me)2](Cl)2 (1b) showed the strongest inhibition against α-Glucosidase with an IC50 value of 2.75 ± 0.3 µM which was comparable to that of acarbose (IC50 = 750 µM). These findings are supported by the ligands and enzyme interactions through molecular docking. © 2021 Elsevier B.V
, M.Sc. Thesis Sharif University of Technology ; Hajji, Alireza (Supervisor)
Abstract
This thesis presents an inventory control system which is based on Meta-heuristic Algorithms.In this thesis we will optimize the input values of our tree-echelon inventory model (keeping costs,stock worth,reorder costs,...) with these Algorithms. The presented method is able to determine the optimal stock level, costs of system and number of shipments in the system. The method is basically a decision support system (DES) and it is able to provide the order scheduling parameters of goods at operational level. The aim of the current research is to demonstrate that a Meta-heuristic algorithmis capable of solving complex inventory problems and with future improvements it is able to achieve...