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    An Interior Needle Trap by Electropolymerized Pyrrole-based Coating for Headspace Solid-Phase Dynamic Extraction of Chlorobenzenes and Their Determination with Gas Chromatography-Mass Spectrometry

    , M.Sc. Thesis Sharif University of Technology Taromi Rad, Faezeh (Author) ; Bagheri, Habib (Supervisor)
    Abstract
    Chlorinated benzenes are a group of cyclic aromatic compounds which are used mainly as intermediates in the synthesis of pesticides and other chemicals. These compounds have harmful effects on human health, as on blood, kidneys, skin and eyes, and cause biological disorders and cancers. Chlorobenzenes have been ranked as priority pollutants by the US Environmental Protection Agency (EPA). The permissible level of these compounds for drinking water ranges between 2 μg/L and 1 mg/L. Hence determination of these compounds is of a significant importance. Solid Phase Dynamic Extraction (SPDE) of 5 types of chlorobenzenes (monochlorobenzene, 1,4-dichlorobenzene, 1,2,3-trichlorobenzene,... 

    A Task Assignment Method to Reduce Aging in Multi-core Processors

    , M.Sc. Thesis Sharif University of Technology Saadatmand, Faezeh Sadat (Author) ; Miremadi, Ghassem (Supervisor)
    Abstract
    Reducing the size of transistors has dramatically increased the impacts of NBTI, HCI, and EM phenomena in comparison with decade ago. These phenomena are able to have influence on properties of different parts of a chip to make it changed gradually; including threshold voltage of a transistor and electrical conductivity of interconnections. These changes are known as the aging of a transistors that diminish the performance and reliability of a chip. A common reason that plays a significant role in all these phenomena is temperature. The temperature becomes more important when the power density increases per unit area due to decreased size of transistors, which is a trend in multi-core... 

    Optimum Design of Air Jet Nozzle Preventing Hot Solid Particles Deposition on the Furnace Wall Using Numerical Simulation of Gas-Particle Two-Phase Flow

    , M.Sc. Thesis Sharif University of Technology Hosseini, Faezeh Sadat (Author) ; Darbandi, Masoud (Supervisor)
    Abstract
    Deposition of solid particles present in the process air on the walls of furnaces is one of the challenges in industries. This phenomenon has various causes. For example, in a furnace, the temperature of particles increases as they pass in front of the furnace burners, and due to the softening of the particles, their chances of deposition increase when they collide with the walls. Over time, with the growth of deposited particle layers on the combustion chamber walls, the performance of the combustion system gradually becomes impaired. present research aims to design air jets intersecting with the process air path, with the purpose of reducing the temperature of particles prone to deposition... 

    An Analysis of Oil Revenues and Monetary and Financial Policies on Iran's Long-term Economic Growth

    , M.Sc. Thesis Sharif University of Technology Mir Jafari, Faezeh Sadat (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    In many papers, GDP is used as a measure of economic growth, which is shown to possess a nonlinear structure. The study focuses on the nonlinear Granger causality between liquidity, government spending, oil revenues and economic growth by markov-switching vector autoregressive and markov- switching Granger causality approach for the period of 1369-1397 for Iran. The empirical results from MSAI(2)-VAR(4) suggest that Oil revenues and government spending have a significant impact on economic growth in both regimes. Also, markov- switching Granger causality results are quite different from the traditional Granger causality results, that suggests the nonlinear Granger causality has more... 

    Maximizing the Number of Adjacencies in a Multi Floor Facility Layout Problem with Unequal Rectangular Departments

    , Ph.D. Dissertation Sharif University of Technology Neghabi, Hossein (Author) ; Ghasemi-Taromi, Farhad (Supervisor) ; Hajji, Alireza (Co-Advisor)
    Abstract
    Facility layout problem (FLP) is one of classical optimization problem in engineering science. The theoretical attractiveness and practical applications of the problem have created a rich literature in the FLP. There are varieties of measure of effectiveness’s for the FLPs, such as minimizing the space cost; minimizing the handing cost; maximizing the adjacencies; maximizing the safety and etc. Maximization of the adjacencies is a common measure of effectiveness, which is addressed in many related literatures especially, in continuous process facility layout. Using of the classical definition of the adjacency usually impose some restrictions on the layout designs. Due to these restrictions... 

    Design and Fabrication of Brain Spinal Cord Electrodes for Rehabilitation of Rats with Spinal Cord Injuries

    , M.Sc. Thesis Sharif University of Technology Mashayekhi, Fatemeh (Author) ; Fardmanesh, Mehdi (Supervisor) ; Shanehsazzadeh, Faezeh (Co-Supervisor)
    Abstract
    The use of microelectrode arrays in neural networks has offered a wonderful opportunity for evaluating numerous properties and interactions with excitable tissues such as the brain and spinal cord in the laboratory. In neural network applications, microelectrode arrays can be utilized to analyze nerve impulses or interact with neurons. They are either used to record neural data or to stimulate spinal cord nerves. Previous research has revealed that stimulating the spinal epidural region can help restore after spinal cord injuries (SCIs), which is the key to using them in the rehabilitation of living beings, including humans. According to the international campaign for the treatment of SCI... 

    Inverse design of supersonic diffuser with flexible walls using a Genetic Algorithm

    , Article Journal of Fluids and Structures ; Volume 22, Issue 4 , 2006 , Pages 529-540 ; 08899746 (ISSN) Ziaei-Rad, S ; Ziaei-Rad, M ; Sharif University of Technology
    2006
    Abstract
    An efficient algorithm for the design optimization of the compressible fluid flow problem through a flexible structure is presented. The methodology has three essential parts: first the behavior of compressible flow in a supersonic diffuser was studied numerically in quasi-one-dimensional form using a flux splitting method. Second, a fully coupled sequential iterative procedure was used to solve the steady state aeroelastic problem of a flexible wall diffuser. Finally, a robust Genetic Algorithm was implemented and used to calculate the optimum shape of the flexible wall diffuser for a prescribed pressure distribution. © 2006 Elsevier Ltd. All rights reserved  

    Characterization of V2O5 Spent Catalyst & Feasibility Study of its Regeneration

    , M.Sc. Thesis Sharif University of Technology Soltani Nejad, Mohammad (Author) ; Sadrnezhaad, Khatiboleslam (Supervisor) ; Farzami, Faezeh ($item.subfieldsMap.e)
    Abstract
    In this study, at first the V2O5 spent catalysts were characterized. The aim was to identifying whether these catalyst may be regenerated. Then, for feasibility study of them, three methods were applied: washing, diffusion and milling the spent catalysts for their subsequent reproduction. A variety of techniques such as XRD, XRF, AAS, TPR and TPO were applied in order to identify factors contributing in vanadium pentoxide catalysts deactivation. The results showed that approximately all of pollutants caused their performance deterioration, while they still have some active phases. Then, the polluted catalysts were washed (their yield increased from 43% to 72.2%). In the underside of the... 

    Experimental Study of Using Cellulosic Compounds in Tissue Engineering

    , M.Sc. Thesis Sharif University of Technology Golizadeh, Mortaza (Author) ; Vossoughi, Manouchehr (Supervisor) ; Karimi, Afzal (Supervisor) ; Faghihi, Faezeh (Co-Supervisor)
    Abstract
    Fabrication and characterization of different surface charged cellulose electrospun scaffolds including cellulose acetate, cellulose, carboxymethyl cellulose and quaternary ammonium cationic cellulose for biomedical applications have been reported in this research. We describe preparation of cellulosic nanofibers through the electrospinning following deacetylation cellulose acetate. Moreover, surface modification of electrospun cellulose nanofibers is carried out to obtain carboxymethyl cellulose and quaternized cellulose nanofibers, respectively. At last, the structural, morphological, mechanical, swelling, wettability and the cell culture properties of the scaffolds were analyzed and... 

    Evaluation of bioactivity and biocompatibility of silk fibroin/TiO2 nanocomposite

    , Article Journal of Medical and Biological Engineering ; Volume 38, Issue 1 , February , 2018 , Pages 99-105 ; 16090985 (ISSN) Johari, N ; Madaah Hosseini, H. R ; Taromi, N ; Arasteh, S ; Kazemnejad, S ; Samadi Kuchaksaraei, A ; Sharif University of Technology
    Springer Berlin Heidelberg  2018
    Abstract
    Biodegradable polymer/bioceramic nanocomposites are osteoconductive and can accelerate healing of bone tissue. In this research, silk fibroin (SF)/titanium dioxide (TiO2) nanocomposites were synthesized using different concentrations of TiO2 nanoparticles (0, 5, 10, 15 and 20 wt%). The SF/TiO2 nanocomposites were studied in terms of bioactivity and biocompatibility. The in vitro assessment of osteoblasts compatibility indicated that SF inclusion rendered nanocomposite biocompatible whereas presence of TiO2 nanoparticles allowed the cells to adhere and grow on nanocomposite surface and enhanced the bioactivity of the composite. © 2017, Taiwanese Society of Biomedical Engineering  

    Modelling and Simulation of Melanoma Cancer, Based on Cellular Automata Approaches

    , M.Sc. Thesis Sharif University of Technology Rad, Jaber (Author) ; Habibi, Jafar (Supervisor)
    Abstract
    Nowadays, M&S is critical as a powerful tool for human to fight against cancer. Skin cancer is one of the most widespread cancers and melanoma would be the most dangerous kind of it. In cancerous micro-environment, cancer cells interact with vasculature, and compete with normal cells over nutrients. This plays a major role in tumor progression pattern and speed. In recent years, a few multiscale models have been developed considering these phenomena. Such a model provides a platform for future researches, especially in drug effects prediction. A reliable simulation must satisfy the constraints and facts in the real world as much as possible. M&S credibility assessment is a major concern to... 

    Automatic image annotation by a loosely joint non-negative matrix factorisation

    , Article IET Computer Vision ; Volume 9, Issue 6 , November , 2015 , Pages 806-813 ; 17519632 (ISSN) Rad, R ; Jamzad, M ; Sharif University of Technology
    Institution of Engineering and Technology  2015
    Abstract
    Nowadays, the number of digital images has increased so that the management of this volume of data needs an efficient system for browsing, categorising and searching. Automatic image annotation is designed for assigning tags to images for more accurate retrieval. Non-negative matrix factorisation (NMF) is a traditional machine learning technique for decomposing a matrix into a set of basis and coefficients under the non-negative constraints. In this study, the authors propose a two-step algorithm for designing an automatic image annotation system that employs the NMF framework for its first step and a variant of K-nearest neighbourhood as its second step. In the first step, a new multimodal... 

    A risk-based MILP approach for optimal placement of flammable gas detectors

    , Article Chemical Engineering Transactions ; Volume 53 , 2016 , Pages 145-150 ; 22839216 (ISSN) Rad, A ; Rashtchian, D ; Sharif University of Technology
    Italian Association of Chemical Engineering - AIDIC  2016
    Abstract
    Gas detectors play an important role in safety of process plants. In-time detection of flammable gas releases may prevent major fire and explosion as well as property loss in process plants. One of the challenges of the gas detection system design is determining the best layout for detectors in order to reduce the risk of gas releases as much as possible. However, current methods do not address the risk concept in placement of detectors quantitatively. A risk-based methodology is proposed for optimal placement of point type flammable gas detectors in which first the risk (defined as a combination of scenario frequency, delayed ignition probability and damage) is estimated for any release... 

    A multi-view-group non-negative matrix factorization approach for automatic image annotation

    , Article Multimedia Tools and Applications ; 2017 , Pages 1-21 ; 13807501 (ISSN) Rad, R ; Jamzad, M ; Sharif University of Technology
    2017
    Abstract
    In automatic image annotation (AIA) different features describe images from different aspects or views. Part of information embedded in some views is common for all views, while other parts are individual and specific. In this paper, we present the Mvg-NMF approach, a multi-view-group non-negative matrix factorization (NMF) method for an AIA system which considers both common and individual factors. The NMF framework discovers a latent space by decomposing data into a set of non-negative basis vectors and coefficients. The views divided into homogeneous groups and latent spaces are extracted for each group. After mapping the test images into these spaces, a unified distance matrix is... 

    A multi-view-group non-negative matrix factorization approach for automatic image annotation

    , Article Multimedia Tools and Applications ; Volume 77, Issue 13 , 2018 , Pages 17109-17129 ; 13807501 (ISSN) Rad, R ; Jamzad, M ; Sharif University of Technology
    Springer New York LLC  2018
    Abstract
    In automatic image annotation (AIA) different features describe images from different aspects or views. Part of information embedded in some views is common for all views, while other parts are individual and specific. In this paper, we present the Mvg-NMF approach, a multi-view-group non-negative matrix factorization (NMF) method for an AIA system which considers both common and individual factors. The NMF framework discovers a latent space by decomposing data into a set of non-negative basis vectors and coefficients. The views divided into homogeneous groups and latent spaces are extracted for each group. After mapping the test images into these spaces, a unified distance matrix is... 

    Image annotation using multi-view non-negative matrix factorization with different number of basis vectors

    , Article Journal of Visual Communication and Image Representation ; Volume 46 , 2017 , Pages 1-12 ; 10473203 (ISSN) Rad, R ; Jamzad, M ; Sharif University of Technology
    Academic Press Inc  2017
    Abstract
    Automatic Image Annotation (AIA) helps image retrieval systems by predicting tags for images. In this paper, we propose an AIA system using Non-negative Matrix Factorization (NMF) framework. The NMF framework discovers a latent space, by factorizing data into a set of non-negative basis and coefficients. To model the images, multiple features are extracted, each one represents images from a specific view. We use multi-view graph regularization NMF and allow NMF to choose a different number of basis vectors for each view. For tag prediction, each test image is mapped onto the multiple latent spaces. The distances of images in these spaces are used to form a unified distance matrix. The... 

    Real time classification and tracking of multiple vehicles in highways

    , Article Pattern Recognition Letters ; Volume 26, Issue 10 , 2005 , Pages 1597-1607 ; 01678655 (ISSN) Rad, R ; Jamzad, M ; Sharif University of Technology
    2005
    Abstract
    Real time road traffic monitoring is one of the challenging problems in machine vision, especially when one is using commercially available PCs as the main processor. In this paper, we describe a real-time method for extracting a few traffic parameters in highways such as, lane change detection, vehicle classification and vehicle counting. In addition, we will explain a real time method for multiple vehicles tracking that has the capability of occlusion detection. Our tracing algorithm uses Kalman filter and background differencing techniques. We used morphological operations for vehicle contour extraction and its recognition. Our algorithm has three phases, detection of pixels on moving... 

    A non-linear model for the classification of stored items in supply chain management

    , Article Proceedings 2010 International Symposium on Information Technology - System Development and Application and Knowledge Society, ITSim'10, 15 June 2010 through 17 June 2010 ; Volume 3 , June , 2010 , Pages 1636-1641 ; 9781424467181 (ISBN) Bozorgi Rad, S.Y ; Bozorgi Rad, M. A ; Ishak Desa, M ; Behnam, S ; Lessanibahri, S ; IEEE ; Sharif University of Technology
    2010
    Abstract
    With the significant role that warehouse plays in connection to suppliers, distributors, and clients, and considering the costliness of storage systems, efforts have focused on the reduction of procedural expenses. Among the most significant expenses, one involves the distance traveled by operators or S/R machinery for the selection of ordered items; the common solution to which has been through the classification of stored items. Previous articles have focused on linear solutions to the abovementioned problem, such as P-Median. This article shall focus on the problems arising from the said solution, and instead a non-linear method proposed. Further, a heuristic algorithm is produced for the... 

    Inhibitory activity on type 2 diabetes and hypertension key-enzymes, and antioxidant capacity of veronica persica phenolic-rich extracts

    , Article Cellular and Molecular Biology ; Volume 62, Issue 6 , 2016 , Pages 80-85 ; 01455680 (ISSN) Sharifi Rad, M ; Tayeboon, G. S ; Sharifi Rad, J ; Iriti, M ; Varoni, E. M ; Razazi, S ; Sharif University of Technology
    Cellular and Molecular Biology Association  2016
    Abstract
    Veronica genus (Plantaginaceae) is broadly distributed in different habitats. In this study, the inhibitory activity of free soluble and conjugated phenolic extracts of Veronica persica on key enzymes associated to type 2 diabetes (α-glucosidase and α-amylase) and hypertension (angiotensin I converting enzyme, ACE) was assessed, as well as their antioxidant power. Our results showed that both the extracts inhibited α-amylase, α-glucosidase and ACE in a dose-dependent manner. In particular, free phenolic extract significantly (P < 0.05) inhibited α-glucosidase (IC50 532.97 μg/mL), whereas conjugated phenolic extract significantly (P < 0.05) inhibited a-amylase (IC50 489.73 μg/mL) and ACE... 

    Optimal Bundle Pricing and Ordering jointly in Industrial Tourism

    , M.Sc. Thesis Sharif University of Technology Rad, Shahin (Author) ; Modarres, Mohammad (Supervisor)
    Abstract
    This study presents an efficient decision making model for tourism services managers. Decisions of bundle pricing and ordering for a perishable multi-product jointly are considered in a multiple period horizon to maximize the expected profit of the firms. The retailer uses bundling strategy for products pricing to give customers discount when buying a bundle of products. The discretionary sales is incorporated which authorizes managers to save inventory for satisfying future demand even if some present demand is lost.
    For solving the problem in deterministic case, we apply modified-genetic algorithm and in stochastic case, sequential quadratic programming (SQP), stochastic simulation and...