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    How do adsorbent orientation and direction of external electric field affect the charge-transfer surface-enhanced raman spectra?

    , Article Journal of Physical Chemistry C ; Volume 125, Issue 24 , 2021 , Pages 13382-13390 ; 19327447 (ISSN) Ashtari Jafari, S ; Jamshidi, Z ; Sharif University of Technology
    American Chemical Society  2021
    Abstract
    Surface-enhanced Raman spectroscopy is a highly sensitive phenomenon and a powerful fingerprint detection tool that reflects the small changes in polarizability on the pattern and intensity of Raman signals. The SERS enhancement signals elucidate with the surface-selection rules. In this regard, molecular configuration and adsorption orientation on the surface, in addition to the direction of external electric field, can lead to different patterns of SERS spectra. To evaluate how the variation of these features influences the pattern and reproducibility of the spectra, the chemical charge-transfer SERS spectra for pyridine on silver clusters are calculated for different field directions,... 

    Evaluation of Performance of Emergency Relief Vehicles Responding to Traffic Accidents in Tehran

    , M.Sc. Thesis Sharif University of Technology Ashtari, Sima (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    High number of traffic accidents in Iran and its rate which is well above the world's average is a major issue of concern. The results of recent researches show a direct relation between survival rate of traffic accidents' injuries and the Emergency Response Time (ERT). The main objective of this research is to analyze different aspects of ERT in Tehran, Iran and to compare these results with the International standards. This study intends to compare the selected routes by ambulance drivers with the shortest paths recommended by EMME/2. Results of analysis show that when the travel time between accident scene and the emergency dispatch center is less than 8 minutes, the possibility of... 

    Bootstrap-based Ensemble Clustering of Resting-state fMRI Time Series

    , M.Sc. Thesis Sharif University of Technology Ashtari, Pooya (Author) ; Vosoughi Vahdat, Bijan (Supervisor)
    Abstract
    Studies in recent years have shown formation of strongly functionally linked sub-networks during rest, networks that are often referred to as resting-state networks. RSNs not only have basic information about the brain but also play a key role in detecting brain disorders, such as Alzheimer and Autism; Consequently, they have been remarkably noticed by neuroscientists. Numerous methods have been used in order to extract RSNs using resting-states fMRI time series. Independent component analysis (ICA) is the most common method, whi have been reported to show a high level of consistency neurophysiology; however, its results is unstable in subject-level. is weakness restricted the ICA... 

    Multi-Scale Simulation of Metallic Nano-Alloy Compression Process Using Plasticity Cone-Cap Behavior Model

    , M.Sc. Thesis Sharif University of Technology Ashtari, Mehrdad (Author) ; Khoei, Amir Reza (Supervisor)
    Abstract
    The primary purpose of this study is to perform nonlinear behavior simulations in the compaction and forming of metal powders and their alloys and investigate their behavior in the plastic state. Powder compression is one of the methods of producing metal parts with high precision and improved mechanical properties, which is why it has been considered in addition to its need in the industry.There are various methods for performing these simulations, including multi-scale methods with optimal performance. Given that only the use of high-scale methods or only low-scale methods will have problems and disadvantages in such simulations, multi-scale methods will be a good alternative in which both... 

    Structural and Computational Studies of Chloro and Nitro Cobaloxime Complexes Containing Tris (p-methoxyphenyl) Phosphine Ligand

    , M.Sc. Thesis Sharif University of Technology Ashtari Larki, Mohammad (Author) ; Kia, Reza (Supervisor)
    Abstract
    In this study, two new cobaloxime complexes with molecular formula [Co(DMGH)2{P(p-PhOCH3)3}(X)] in which X= Cl, NO2 were synthesized and their structure studied. These complexes were identified by FT-IR and1H-NMR 31P{1H}-NMR methods as well as their solid state structure studied by X-ray crystallography. The non-covalent interaction of two complexes including non-classical hydrogen interactions, C─H...π interactions, and dispersion interactions were confirmed and compared theoretically and experimentally by analyzing the data extracted from X-ray single crystal diffraction  

    Supervised fuzzy partitioning

    , Article Pattern Recognition ; Volume 97 , 2020 Ashtari, P ; Nateghi Haredasht, F ; Beigy, H ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Centroid-based methods including k-means and fuzzy c-means are known as effective and easy-to-implement approaches to clustering purposes in many applications. However, these algorithms cannot be directly applied to supervised tasks. This paper thus presents a generative model extending the centroid-based clustering approach to be applicable to classification and regression tasks. Given an arbitrary loss function, the proposed approach, termed Supervised Fuzzy Partitioning (SFP), incorporates labels information into its objective function through a surrogate term penalizing the empirical risk. Entropy-based regularization is also employed to fuzzify the partition and to weight features,... 

    Efficient simulation of resonance Raman spectra with tight-binding approximations to density functional theory

    , Article Journal of Chemical Physics ; Volume 157, Issue 8 , Volume 157, Issue 8 , 2022 ; 00219606 (ISSN) Ashtari Jafari, S ; Jamshidi, Z ; Visscher, L ; Sharif University of Technology
    American Institute of Physics Inc  2022
    Abstract
    Resonance Raman spectroscopy has long been established as one of the most sensitive techniques for detection, structure characterization, and probing the excited-state dynamics of biochemical systems. However, the analysis of resonance Raman spectra is much facilitated when measurements are accompanied by Density Functional Theory (DFT) calculations that are expensive for large biomolecules. In this work, resonance Raman spectra are therefore computed with the Density Functional Tight-Binding (DFTB) method in the time-dependent excited-state gradient approximation. To test the accuracy of the tight-binding approximations, this method is first applied to typical resonance Raman benchmark... 

    Discussing the Behavior of the Boundary Theory Caused by Kalb-Ramond Field Perturbation in the Bulk, Using AdS/CFT Correspondence

    , M.Sc. Thesis Sharif University of Technology Ashtari Esfahani, Ali (Author) ; Arfaei, Hessamaddin (Supervisor)
    Abstract
    In this thesis we have used the low energy effective action of the string theory to find an asymptotic Anti-de sitter metric with a non-vanishing H field. Then we have used the AdS/CFT correspondence to study the effects of the added Kalb_Ramond field on two calculations in the boundary theory. The first one was the calculation of the drag force exerted on a moving quark in the quark-gluon plasma. In the second calculation we observed the effect of the added field on the confinement-de confinement phase transition  

    Cost overrun risk assessment and prediction in construction projects: a bayesian network classifier approach

    , Article Buildings ; Volume 12, Issue 10 , 2022 ; 20755309 (ISSN) Ashtari, M. A ; Ansari, R ; Hassannayebi, E ; Jeong, J ; Sharif University of Technology
    MDPI  2022
    Abstract
    Cost overrun risks are declared to be dynamic and interdependent. Ignoring the relationship between cost overrun risks during the risk assessment process is one of the primary reasons construction projects go over budget. Conversely, recent studies have failed to account for potential interrelationships between risk factors in their machine learning (ML) models. Additionally, the presented ML models are not interpretable. Thus, this study contributes to the entire ML process using a Bayesian network (BN) classifier model by considering the possible interactions between predictors, which are cost overrun risks, to predict cost overrun and assess cost overrun risks. Furthermore, this study... 

    Flight envelope expansion in landing phase using classic, intelligent and adaptive controllers [electronic resource]

    , Article Journal of aircraft ; 2006, Vol. 43, No. 1 Malaek .S. M. B ; Izadi, Hojjat Allah ; Pakme, Mehrdad
    Abstract
    An expanding flight envelope in the landing phase of a typical jet transport aircraft in presence of strong wind shears using a learning capable control system (LCCS) is investigated. The idea stems fromhuman beings functional architecture that gives them the ability to do more as they age and gain more experience. With the knowledge that classical controllers lack sufficient generality to cope with nonlinear as well as uncertain phenomenon such as turbulent air, the focuse is on different types of intelligent controllers due to their learning and nonlinear generalization capabilities as candidates for the landing flight phase. It is shown that the latter class of controllers could be used... 

    An efficient graphyne membrane for water desalination

    , Article Polymer ; Volume 175 , 2019 , Pages 310-319 ; 00323861 (ISSN) Mehrdad, M ; Moosavi, A ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    Desalination of sea saline water seems a successful solution to supply clean water. For desalination, novel nanoporous membranes have been proposed as a substitute for the classic reverse osmosis (RO) membranes. The one-atom-thick graphyne membrane has shown great potential in water desalination. By applying functional groups (FGs) into the pores of the monolayer graphyne membranes, the water permeability and the ion rejection were passively increased. The effects of applying various FGs such as Hydrogen, Fluorine, Carboxyl and Amine, effect of the salt concentration, the applied pressure, and the effective diameter of the graphyne pores were determined by molecular dynamics (MD)... 

    Optimal Design of the Heliostat Field in the Solar Central Receiver Systems

    , M.Sc. Thesis Sharif University of Technology Piroozmand, Pasha (Author) ; Boroushaki, Mehrdad (Supervisor)
    Abstract
    In a solar central system plant about 40% of energy losses occurs in the heliostat field. Furtheremore, half of the investment costs for construction of the plant is related to the heliostat field. Therefore, an optimal design of the heliostat field is necessary for reduction of levelized cost of energy in solar tower power plants. In this study, in order to optimally design the heliostat field, first energy performance of the helistat field in one year is simulated. Solar power and sun’s position at each moment of the day is determined by mathematical relations. Then, loss factors in the field are modelled and heliostat field layout is designed by an algorithm. Finally, by using PSO... 

    Simulation and Multi-Objective Optimization of a Solar Micro CCHP Using Intelligent Techniques

    , M.Sc. Thesis Sharif University of Technology Younesi, Ali (Author) ; Boroushaki, Mehrdad (Supervisor)
    Abstract
    Today, due to the scarcity of fossil energy resources, security of energy supply, and increasing environmental concerns, we need to develop new technologies to promote energy-saving and reduce greenhouse gas emissions. One of the suitable options for this purpose is to use the simultaneous production of electric power, cooling, and heating. Meanwhile, trigeneration systems that provide part of their energy needs from the sun, due to the free solar energy source and low environmental impact, can be an ideal technology for clean and safe scattered production. The present study has suggested a trigeneration system of cooling, heating, and power generation based on the organic Rankin cycle and... 

    Optimal Design of Induction MHD Generator for Electrical Power Generation from Exhaust of the Gas Turbine Power Plants

    , M.Sc. Thesis Sharif University of Technology Barzegar, Iran (Author) ; Boroushaki, Mehrdad (Supervisor)
    Abstract
    Today, due to increasing electricity consumption and demand, the use of conventional systems such as thermal, hydro and nuclear power plants is not enough to convert energy. Over the past century, scientists have sought to discover new technologies for exploiting different forms of energy and converting them into high-efficiency electrical energy. One of these ways is to use the phenomenon of magnetohydrodynamics (magnetic fluid dynamics) to convert thermal energy directly into electrical energy. Magnetohydrodynamics is a theoretical field that studies the dynamics of fluids with electrical conductivity. Induction magneto-hydrodynamic generators use ionized hot plasma (a quasi-neutral gas of... 

    Modeling and Optimal Design of a Solar Chimney Power Plant

    , M.Sc. Thesis Sharif University of Technology Gharagozlou, Ali (Author) ; Boroushaki, Mehrdad (Supervisor)
    Abstract
    The power generation system of this type of power plants operates on the air flowing through the power plant’s chimney and colliding with the turbine blades within the chimney. When the solar collector warms the nearby air and thus expands the air by absorbing the sunlight, a difference is created in the density. Then, this difference in the density creates the phenomenon of buoyancy, making the air pass to the top of the chimney through the collector.This study simulated and optimized a solar chimney power plant. The simulation and optimization were performed based on the information of Manzanares Solar Chimney Power Plant in Spain (located in 150 km from the south of Madrid). It was... 

    Intelligent Control of Hybrid Vehicles based on the Simultaneous Optimization of Fuel Consumption and Pollution Emission

    , M.Sc. Thesis Sharif University of Technology Mamouri, Ali (Author) ; Boroushaki, Mehrdad (Supervisor)
    Abstract
    The issue under discussion in this paper is to optimize the fuel consumption of the Toyota Prius hybrid car. In order to solve this problem, the ADVISOR design model used by NREL in the Matlab / Simulink environment has been used. Various parts of this model are described. The optimization performed on this issue is based on the emotional controller. This controller works by simulating learning in animals based on encouraging and punishing them. With the introduction of the controller, the model and its inclusion in the fuel consumption control and its implementation have achieved good results. In the initial state and the controller in the model, the fuel consumption was 4.9 liters per 100... 

    Active Control of Drag Force in Automobile in Order to Reduce Fuel Consumption

    , M.Sc. Thesis Sharif University of Technology Mehrafsar, Moein (Author) ; Boroushaki, Mehrdad (Supervisor)
    Abstract
    In this thesis, an attempt has been made to provide a smart and innovative system to optimize fuel consumption in cars by using the combination of engineering sciences, aerospace, and machine learning. Considering the current challenges of societies, the economic importance of saving fuel, as well as recent developments in the fields of machine learning and reinforcement learning, this research tries to improve the performance of cars in order to minimize the air resistance force of car bodies. In this regard, deep neural networks have been used to learn the dynamics of aerodynamic forces and reinforcement learning algorithms, especially DDPG (Deep Deterministic Policy Gradient), have been... 

    Traffic Prediction using Graph Neural Network

    , M.Sc. Thesis Sharif University of Technology Sadeghi, Danial (Author) ; Boroushaki, Mehrdad (Supervisor)
    Abstract

    چکیده (انگلیسی) Prediction of traffic parameters is one of the most important needs in the field of intelligent transportation. Traffic forecasting allows people to choose the best times and routes to travel using various data such as date and time, events and weather conditions. Traffic forecasting helps reduce traffic in cities and save energy. This information is important for urban management; Because it provides the possibility of improving public transportation systems and traffic measures, and in this way, it is possible to propose the best solutions for managing traffic and increasing the quality of life of citizens. Although various parameters such as traffic speed, traffic... 

    The role of microstructure in mechanical behaviors of low-alloy sintered steels

    , Article Scientia Iranica ; Volume 7, Issue 1 , 2000 , Pages 41-49 ; 10263098 (ISSN) Yoozbashizadeh, H ; Simchi, A ; Moradkhani, D ; Ashtari, M ; Khorsand, H ; Davami, P ; Sharif University of Technology
    Sharif University of Technology  2000
    Abstract
    In this study, microstructural aspects that control fracture and deformation resistance of P/M materials are evaluated. Several low-alloy steels were produced under both experimental and commercial conditions for achieving different matrix phases and porosity levels with varying shape factors. A 'porosity map' was constructed and used for a quantified study of the dominant mechanism controlling mechanical behaviors. The role of inclusion gathering and secondary pores, as well as sintering mechanism and alloying method is considered and discussed. The mechanism assessment was performed by using microstructure examination through optical and scanning electron microscopy. The results... 

    Effectiveness Evaluation of Making Natural Childbirth Free of Charge on Household Decision in Choosing Delivery Method

    , M.Sc. Thesis Sharif University of Technology Ashtari Nakhaei, Aida (Author) ; Fatemi Ardestani, Farshad (Supervisor) ; Heidarzadeh, Mohammad (Co-Advisor)
    Abstract
    The rate of cesarean section delivery in Iran is high and during the past 14 years, leading up to 2014, kept rising. In this regard, decreasing cesarean section rate was targeted through the healthcare reform plan, which was offered by Ministry of Health and Medical Education. This plan kicked off on May4, 2014. One of the most important proceedings of this plan was making natural childbirth to be free in all hospitals, which are under the auspices of the medical universities. According to healthcare utilization models, lower prices of healthcare services, more health centers and more accessibility to them, increase the probability of using health care services. Current study evaluated the...