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    Unsteady Hydrodynamic Simulation of Flexible Bodies using Boundary Element Method

    , Ph.D. Dissertation Sharif University of Technology Najafi, Saeed (Author) ; Abbaspour Tehrani, Majid (Supervisor)
    Abstract
    For more than a million years, aquatic animals and specially fishes make undulatory motions in their flexible body to propel themselves. In the recent decays, scientists prove that these mechanisms are more efficient than man-made propulsion systems. A wide variety of artificial vehicles including robotfishes, ROV and etc has been manufactured with inspiring by natural creatures. The Biomimetic science which deals with the study of mechanics and hydrodynamics of living creatures is very important in developing these vehicles. In the present study, numerical software (PANEL3D®), bases on boundary integral equations of potential flow have been developed to simulate hydrodynamic performance of... 

    Design & implementation of a high precision & high dynamic range power consumption measurement system for smart energy IoT applications

    , Article Measurement: Journal of the International Measurement Confederation ; Volume 146 , 2019 , Pages 458-466 ; 02632241 (ISSN) Tehrani, Y. H ; Atarodi, S. M ; Sharif University of Technology
    Elsevier B.V  2019
    Abstract
    Internet of Things (IoT) devices have strict necessity for power consumption in order to achieve expected battery life. IoT nodes feature extreme power consumption range over 100 dB, between their operating modes. The main focus of this paper is to design and implement a high precision, high dynamic range, low power, and flexible power measurement system, which can be applied to different applications. The proposed system consists of a voltage regulating control loop, zero offset amplifiers, high precision analog to digital converters, and reference voltage. The proper operation of the proposed circuit are verified numerically with simulations and experimental measurements. The implemented... 

    Online Health Monitoring of Nonlinear Hysteretic Structures Using System Identification Techniques and Signal Processing Tools

    , Ph.D. Dissertation Sharif University of Technology Amini Tehrani, Hamed (Author) ; Bakhshi, Ali (Supervisor)
    Abstract
    Adverse social and economic effects of earthquakes have necessitated the emergence and development of efficient methods to assess and monitor the health status of structures. Many of the structural health monitoring algorithms are based on linear models that are not able to provide sufficient dynamic information. Nonlinear models require monitoring of a larger number of structural parameters and provide a much closer to reality model of the structure. Therefore, the use of nonlinear models in the identification process provides more useful information about the safety and serviceability of post-earthquake structures. Also, most of the existing methods are not applicable for online health... 

    Non-saturation mode analysis of IEEE 802.11 MAC protocol

    , Article 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07, Athens, 3 September 2007 through 7 September 2007 ; December , 2007 ; 1424411440 (ISBN); 9781424411443 (ISBN) Hassani, H ; Ashtiani, F ; Tehrani, P ; Sharif University of Technology
    2007
    Abstract
    In this paper, we propose a new modeling approach for analytical evaluation of normalized throughput and average backoff time for IEEE 802.11 MAC standard in non-saturation mode and with Poisson arrivals. To this end, we map different stages of distributed coordinated function (DCF) onto different components of a closed multi-class BCMP queueing network with arbitrary service time distribution. At the last part of the paper, we illustrate the applicability of the proposed approach by some numerical results in both saturation and non-saturation modes and obtain average backoff time for different arrival rates. © 2007 IEEE  

    A Deep Generative Model for Graph-Structured Data

    , M.Sc. Thesis Sharif University of Technology Sarshar Tehrani, Fatemeh (Author) ; Movaghar, Ali (Supervisor)
    Abstract
    In recent years, deep generative models have achieved incredible successes in various fields, including graph generation. Due to the advances made in graph generation by deep generative models, these methods have shown numerous applications from drug discovery and molecular graph generation to modeling social and citation network graphs. Graph generation is an approach to discovering and exploring new graph structures and has been attracting growing attention. One of the most challenging applications of deep graph generative models is molecular graph generation since it requires not only generating chemically valid molecular structures but also optimizing their chemical properties in the... 

    Comparison of dry reforming of methane in low temperature hybrid plasma-catalytic corona with thermal catalytic reactor over Ni/γ-Al 2O 3

    , Article Journal of Natural Gas Chemistry ; Volume 21, Issue 4 , 2012 , Pages 466-475 ; 10039953 (ISSN) Aziznia, A ; Bozorgzadeh, H. R ; Seyed Matin, N ; Baghalha, M ; Mohamadalizadeh, A ; Sharif University of Technology
    2012
    Abstract
    In the current study, the hybrid effect of a corona discharge and γ-alumina supported Ni catalysts in CO 2 reforming of methane is investigated. The study includes both purely catalytic operation in the temperature range of 923-1023 K, and hybrid catalytic-plasma operation of DC corona discharge reactor at room temperature and ambient pressure. The effect of feed flow rate, discharge power and Ni/γ-Al 2O 3 catalysts are studied. When CH 4/CO 2 ratio in the feed is 1/2, the syngas of low H 2/CO ratio at about 0.56 is obtained, which is a potential feedstock for synthesis of liquid hydrocarbons. Although Ni catalyst is only active above 573 K, presence of Ni catalysts in the cold corona plasma... 

    An EWA framework for the probabilistic-based structural integrity assessment of offshore platforms

    , Article Marine Structures ; Volume 59 , 2018 , Pages 60-79 ; 09518339 (ISSN) Zeinoddini, M ; Yaghubi Namin, Y ; Matin Nikoo, H ; Estekanchi, H ; Kimiaei, M ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    Endurance Wave Analysis (EWA) is a novel, simple, economical but yet reliable method for the integrity assessment of offshore platforms against extreme irregular waves. The current paper presents a framework for the probabilistic assessment of offshore platforms based on EWA. The stochastic nature and the uncertainties in the ocean waves were taken into account by introducing a set of artificial, random and gradually intensifying wave trains. To simulate other uncertainties in the loading and the strength of the structure a Latin Hypercube Sampling (LHS) type of Monte Carlo Simulation (MCS) was employed. The EWA methodology and different structural performance criteria were considered. The... 

    Preparation and Investigations of Flexible Supercapacitors Using Nanocomposites with Graphene-based Structures and Layered double hydroxide Ni/Co and Manganese Molybdate

    , Ph.D. Dissertation Sharif University of Technology Mehrabi Matin, Bahareh (Author) ; Shahrokhian, Saeed (Supervisor) ; Iraji-zad, Azam (Supervisor)
    Abstract
    In the first part of this research, for the first time, we introduced a flexible high performance graphene-based supercapacitor using silver fiber fabric as the current collector. The silver fiber fabric offers remarkable advantages such as light weight, mechanical flexibility and ease of integration with electronic textiles, which well-suited for wearable energy storage devices. A new hybrid material of graphene-silver fiber fabric (rGO/SFF) was prepared through a facile electrophoretic deposition of graphene and being used as a binder-free flexible supercapacitor electrode. In order to obtain the optimum condition, the effect of deposition time was investigated and a duration time of 10... 

    Efficient Acceleration of Large-scale Graph Algorithms

    , M.Sc. Thesis Sharif University of Technology Gholami Shahrouz, Soheil (Author) ; Saleh Kaleybar, Saber (Supervisor) ; Hashemi, Matin (Supervisor)
    Abstract
    Given a social network modeled as a weighted graph G, the influence maximization problem seeks k vertices to become initially influenced, to maximize the expected number of influenced nodes under a particular diffusion model. The influence maximization problem has been proven to be NP-hard, and most proposed solutions to the problem are approximate greedy algorithms, which can guarantee a tunable approximation ratio for their results with respect to the optimal solution. The state-of-the-art algorithms are based on Reverse Influence Sampling (RIS) technique, which can offer both computational efficiency and non-trivial (1-1/e-ϵ)-approximation ratio guarantee for any ϵ>0. RIS-based... 

    Acceleration of Causal Structure Learning Algorithms based on the Observational Data

    , M.Sc. Thesis Sharif University of Technology Shahbazinia, Amir Hossein (Author) ; Salehkaleybar, Saber (Supervisor) ; Hashemi, Matin (Supervisor)
    Abstract
    One of the key objectives in many fields in machine learning is to discover causal relationships among a set of variables from observational data. In linear non-Gaussian acyclic models (LiNGAM), it can be shown that the true underlying causal structure can be identified uniquely from merely observational data. DirectLiNGAM algorithm is a well-known solution to learn the true causal structure in high dimensional setting. DirectLiNGAM algorithm executes in a sequence of iterations and it performs a set of comparisons between pairs of variables in each iteration. Unfortunately, the runtime of this algorithm grows significantly as the number of variables increases.In this thesis, we propose a... 

    Experimental and Theoretical Investigation on Entrainment Coefficient in Density Current and Introducing Modified Richardson Number

    , M.Sc. Thesis Sharif University of Technology Maleki Tehrani , Mahdi (Author) ; Firoozabadi, Bahar (Supervisor)
    Abstract
    Dense underflows are continuous currents, caused by interaction of two or more fluids of different density. Density currents move down-slope due their density being heavier than that of the ambient water. In this work, entrainment in 3-D density currents in a straight channel was investigated by a set of experimental studies and Theoretical calculations. Velocity components were measured using Acoustic Doppler Velocimetry (ADV). First of all, the bed shear stress was calculated by the velocity profile method and Reynolds stress method as well and showed a good agreement. By increasing the Richardson number, the bed shear stress decreases. On the other hand, the interface shear stress was... 

    A Control Theoretic Technique for Energy Management in Multi-core Embedded Systems

    , M.Sc. Thesis Sharif University of Technology Abbasnia Tehrani, Mojtaba (Author) ; Ejlali, Alireza (Supervisor)
    Abstract
    Since multi-core processors have become a primary trend in processor development, new scheduling algorithms are needed to minimize power consumption while achieving the desired timeliness guarantees for multi-core real-time embedded systems. Although various power/energy efficient scheduling algorithms have recently been proposed, existing studies may have degraded run-time performance in terms of power/energy efficiency and real-time guarantees when applied to real-time embedded systems with uncertain execution time. Moreover, these algorithms are only provided for a specific set of tasks, while many industrial applications with real-time demands are composed of mixed sets of tasks with a... 

    Thermochemical properties of some vinyl chloride-induced DNA lesions: Detailed view from NBO & AIM analysis

    , Article Structural Chemistry ; Volume 23, Issue 6 , 2012 , Pages 1987-2001 ; 10400400 (ISSN) Tehrani, Z. A ; Torabifard, H ; Fattahi, A ; Sharif University of Technology
    2012
    Abstract
    Etheno-damaged DNA adducts such as 3,N4- ethenocytosine, N 2,3-ethenoguanine, and 1,N2-ethenoguanine are associated with carcinogenesis and cell death. These inevitable damages are counteracted by glycosylase enzymes, which cleave damaged nucleobases from DNA. Escherichia coli alkyl purine DNA glycosylase is the enzyme responsible for excising damaged etheno adducts from DNA in humans. In an effort to understand the intrinsic properties of these molecules, we examined gasphase acidity values and proton affinities (PA) of multiple sites of these molecules as well as equilibrium tautomerization and base pairing properties by quantum mechanical calculations. We also used calculations to compare... 

    Influence of metal complexation on acidity of cytosine nucleosides: Part I, Li +, Na + and K + cation

    , Article Scientia Iranica ; Volume 19, Issue 3 , June , 2012 , Pages 535-545 ; 10263098 (ISSN) Aliakbar Tehrani, Z ; Fattahi, A ; Pourjavadi, A ; Sharif University of Technology
    2012
    Abstract
    Gas-phase acidities of nucleosides, combined with the knowledge of deprotonation sites, could improve our understanding of chemical reactions to biological systems. In this paper, we mainly focus our attention on the influence of cation coordination on acidities of multiple sites in cytosine nucleosides. The acidities of multiple sites in M +-L (where L represents cytosine nucleosides and M + is an alkali metal ion, including Li +, Na + and K +) complexes have been investigated theoretically, employing B3LY P6-311++G(d,p) basis sets. The geometrical characters, gas-phase acidities, sugar puckering and electronic properties of non-deprotonated and/or deprotonated complexes have been... 

    Glucose interaction with Au, Ag, and Cu clusters: Theoretical investigation

    , Article International Journal of Quantum Chemistry ; Volume 113, Issue 8 , 2013 , Pages 1062-1070 ; 00207608 (ISSN) Jamshidi, Z ; Farhangian, H ; Tehrani, Z. A ; Sharif University of Technology
    2013
    Abstract
    Interactions of α-D-glucose with gold, silver, and copper metal clusters are studied theoretically at the density functional theory (CAM-B3LYP) and MP2 levels of theory, using trimer clusters as simple catalytic models for metal particles as well as investigating the effect of cluster charge by studying the interactions of cationic and anionic gold clusters with glucose. The bonding between α-D-glucose and metal clusters occurs by two major bonding factors; the anchoring of M atoms (M = Cu, Ag, and Au) to the O atoms, and the unconventional M.H-O hydrogen bond. Depending on the charge of metal clusters, each of these bonds contributes significantly to the complexation. Binding energy... 

    Dendrimer-like supramolecular nanovalves based on polypseudorotaxane and mesoporous silica-coated magnetic graphene oxide: a potential pH-sensitive anticancer drug carrier

    , Article Supramolecular Chemistry ; Volume 28, Issue 7-8 , 2016 , Pages 624-633 ; 10610278 (ISSN) Pourjavadi, A ; Mazaheri Tehrani, Z ; Shakerpoor, A ; Sharif University of Technology
    Taylor and Francis Ltd  2016
    Abstract
    In the present research, two types of drug carriers based on mesoporous silica-coated magnetic graphene oxide, Fe3O4@GO@mSiO2, were synthesised and the pH-responsive behaviour for doxorubicin release was investigated. One type of the carrier was dendrimer-like multi ethylene amine grafted on Fe3O4@GO@mSiO2 and the other was dendrimer-like supramolecular polypseudorotaxane. Herein, α-cyclodextrin was used in the structure of supramolecular nanoparticles as a gatekeeper to inhibit the drug from escaping at neutral pH (the pH of healthy tissue). The drug release profile showed that the supramolecular nanocarrier was more sensitive to the pH changes. The content of drug release was about 100% at... 

    Pulse repetition interval detection using statistical modeling

    , Article ACM International Conference Proceeding Series, 21 November 2016 through 24 November 2016 ; Volume Part F125833 , 2016 , Pages 100-104 ; 9781450347907 (ISBN) Amiri Tehrani Zade, A ; Pezeshk, A. M ; Sharif University of Technology
    Association for Computing Machinery  2016
    Abstract
    Pulse Repetition Interval (PRI) Modulation Detection is an important subsystem of a typical electronic warfare support system. In this paper, a robust, fast, and well designed structure for detection of simple and complex PRI modulations based on statistical and sequential analysis of Pulse Repetition Interval (PRI) is proposed. Accuracy and robustness of the technique against electromagnetic noise are demonstrated via simulations  

    Conformational behavior and potential energy profile of gaseous histidine

    , Article Journal of Molecular Structure: THEOCHEM ; Volume 960, Issue 1-3 , November , 2010 , Pages 73-85 ; 01661280 (ISSN) Aliakbar Tehrani, Z ; Tavasoli, E ; Fattahi, A ; Sharif University of Technology
    2010
    Abstract
    Histidine as a natural amino acid is found to be biologically important and is known to function as a nucleophile or enzyme co-factor, or in proton transfer process. The properties of gaseous aromatic amino acid histidine depend on the structural forms it may take in gas-phase. Ab initio method has been used to characterize the gas-phase conformer/tautomers of histidine. Wide range of possible structures for histidine was surveyed at the MM level, and then the geometries of the unique conformers were refined at the B3LYP/6-311++G (d,p) levels. At this theoretical level, 25 conformers were located for both tautomers of histidine i.e., His [NπH] and His [NτH]. The MM level provides a poor... 

    Chitosan based supramolecular polypseudorotaxane as a pH-responsive polymer and their hybridization with mesoporous silica-coated magnetic graphene oxide for triggered anticancer drug delivery

    , Article Polymer (United Kingdom) ; Volume 76 , October , 2015 , Pages 52-61 ; 00323861 (ISSN) Pourjavadi, A ; Mazaheri Tehrani, Z ; Jokar, S ; Sharif University of Technology
    Elsevier Ltd  2015
    Abstract
    Chitosan based polyseudorotaxane was designed as a pH-responsive supramolecular polymeric shell around the mesoporous silica-coated magnetic graphene oxide (Fe3O4@GO@mSiO2). It was used for doxorubicin delivery at cancerous tissue in a controlled manner. The core-shell nanocarrier was formed due to electrostatic interaction between chitosan and carboxylated surface of Fe3O4@GO@mSiO2. The maximum release occurred at pH 5.5 (pH of endosomes) because the shell collapsed at this pH. The drug nanocarrier has potential application in tumor therapy due to good pH-sensitive behavior, improved solubility and high colloidal stability in... 

    PEG-co-polyvinyl pyridine coated magnetic mesoporous silica nanoparticles for pH-responsive controlled release of doxorubicin

    , Article International Journal of Polymeric Materials and Polymeric Biomaterials ; Volume 64, Issue 11 , 2015 , Pages 570-577 ; 00914037 (ISSN) Pourjavadi, A ; Mazaheri Tehrani, Z ; Bennett, C ; Sharif University of Technology
    Taylor and Francis Inc  2015
    Abstract
    In the present work a pH responsive drug nanocarrier based on magnetic mesoporous silica nanoparticles (MMSN) and polyethylene glycol-co-polyvinyl pyridine (PEG-co-PVP) was prepared. The core-shell nanocarrier was formed due to electrostatic interaction between protonated polyvinyl pyridine and surface modified MMSN with carboxylate groups. This carrier was used for pH-controllable doxorubicin release. The maximum release was occurred at pH 5.5 (pH of endosomes). This carrier was characterized by Fourier transform infrared spectroscopy, thermogravimetric analysis, UV-Vis spectrophotometer, scanning electron microscope, and high-resolution transmission electron microscope techniques. Also the...