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    Optimization of Parameters of Neutron Activation Analysis Using K0-IAEA Code

    , M.Sc. Thesis Sharif University of Technology Hassanloo, Roohollah (Author) ; Vossoughi, Naser (Supervisor)
    Abstract
    There are several methods for identifying unknown elements of an unknown compound. One of the common methods for this purpose, using neutron activation analysis. In conjunction with this method, different computer codes and softwares have been developed and used. One of these methods is K0 method that is a single comparator method. The code that based on this method is K0-IAEA code that is written by the International Atomic Energy Agency and access to it is free. Foremost objective of this study is to determine how to work with this code. In order to evaluate the accuracy of the results of the code, examples have taken into consideration the amount of time previously unknown elements by... 

    Rapid quantitative elemental analysis using artificial neural network for case study of Isfahan Miniature Neutron Source Reactor

    , Article Journal of Radioanalytical and Nuclear Chemistry ; Volume 331, Issue 11 , 2022 , Pages 4479-4487 ; 02365731 (ISSN) Asgari, A ; Hosseini, S. A ; Sharif University of Technology
    Springer Science and Business Media B.V  2022
    Abstract
    In this study, new method for NAA purposes at 30 kW Isfahan MNSR is suggested. An algorithm based on ANN is proposed to quantitatively predict the unknown elements with no need standard sample. A three-layer feed-forward ANN with back-propagation algorithm has been used to determine concentration of selenium and fluorine in Multiple Sclerosis patients and healthy people blood samples. Predicted concentration of elements show good agreement between new method and experiment results. The correlation coefficient between the experimentally determined and predicted values are 0.99104 and 0.99364, respectively. This method is a rapid and precise approach for elemental analysis. © 2022, Akadémiai... 

    Source Related Elemental Characterization of the SPM of the City of Isfahan with INAA Method

    , M.Sc. Thesis Sharif University of Technology Saghafian, Maryam (Author) ; Sohrabpour, Mostafa (Supervisor) ; Khalafi, Hossein (Supervisor)
    Abstract
    Total air particulate matter of the city of Isfahan has been measured for elemental characterization in four principal directions of the city and during the year 2007-2008. High volume air samplers using whatman 41 filters have been utilized and instrumental neutron activation analysis has been used as the analytical method. Twenty one elements arising from seasonal and geographical distributions of the various elements have been determined. These distribution patterns have been discussed in view of the prevailing wind direction, location of the industrial facilities, and the Pearson correlation coefficients  

    Source Tracing of the Dust Storms to the Country Using the Nuclear Techniques

    , M.Sc. Thesis Sharif University of Technology Bagri, Mohammad (Author) ; Sohrabpour, Mostafa (Supervisor) ; Hosseini, Abolfazl (Co-Advisor)
    Abstract
    Dust phenomenon is a combination of tiny particle with urban pollution that it is harmful for respiratory disease. But this phenomenon has been prevalent in our country recently. We utilized NASA satellite pictures to observe dust storms in the present project. We have collected images of possible sources of dust on the days when we are faced with the dust storm phenomenon. Then by processing of NASA satellite pictures (recognition of distribution of optical and particle density in the dust particle arising and comparing results through analysis of these images to estimate the main characteristics of the sampling locations). we have find the desired location for taking samples of soil... 

    Video activity analysis based on 3D wavelet statistical properties

    , Article 11th International Conference on Advanced Communication Technology, ICACT 2009, Phoenix Park, 15 February 2009 through 18 February 2009 ; Volume 3 , 2009 , Pages 2054-2058 ; 17389445 (ISSN); 9788955191387 (ISBN) Omidyeganeh, M ; Ghaemmagham, S ; Khalilain, H ; IEEE Communications Society, IEEE ComSoc; IEEE Region 10 and IEEE Daejeon Section; Korean Institute of Communication Sciences, KICS; lEEK Communications Society, IEEK ComSoc; Korean Institute of Information Scientists and Engineers, KIISE; et al ; Sharif University of Technology
    2009
    Abstract
    A video activity analysis is presented based on 3D wavelet transform. Marginal and joint statistics as well as mutual information estimates are extracted. Marginal histograms are approximated by Generalized Gaussian Density (GGD) functions. The mutual information between coefficients -as a quantitative estimate of joint statistics- decreases when the activity in the video increases. The relationship between kurtosis graphs, extracted from joint distributions and video activity, is deduced. Results show that the type of activity in the video can be figured out from Kurtosis curves. The GGD and the Kullback-Leibler distance (KLD) are used to retrieve and locate 96% of videos properly  

    Matrix effects corrections in prompt gamma-ray spectra of a PGNAA online analyzer system using artificial neural network

    , Article Progress in Nuclear Energy ; Volume 118 , 2020 Shahabinejad, H ; Vosoughi, N ; Saheli, F ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    One of the well-known online monitoring techniques used for quality control of bulk samples is Prompt Gamma Neutron Activation Analysis (PGNAA). PGNAA suffers from the so-called matrix effect problems such as density, thickness and moisture content of the sample under study. In this work, an Artificial Neural Network (ANN) model is introduced to deal with these effects. The required spectra for training and testing the proposed ANN model are obtained by Monte Carlo simulation of the gamma-ray spectra recorded in a PGNAA online analyzer system used in cement factories. The gamma-ray spectra related to given set of density, thickness and moisture content are corrected channel-to-channel using... 

    Elemental Concentration of the Air of City of Karaj Using INAA and AAS and Comparing of the Results with Simulation Data of Aermod

    , M.Sc. Thesis Sharif University of Technology Mardashti, Forough (Author) ; Sohrabpour, Mostafa (Supervisor)
    Abstract
    City of Karaj with 2 million population used to enjoy very clean and accommodating air and environment . This congenial condition was due to agricultural and gardening activities of the local population . This way of life has undergone a profound change due to a change in the economic activities of the local population from farming and agriculture to industrial activities . And this has brought particulate matter wich has been exacerbated in the recent years . With the additional onslaught of the dust storms coming from the neighboring countries due to drying up of rivers and lagoons .The main object of this work was to obtain the spectrum of the PM and the additional component of PM that... 

    Elemental Characterization of the Total Suspended Particulate Matter of the Industrial City of Arak with NAA and AAS and Modeling with the AERMOD Software

    , M.Sc. Thesis Sharif University of Technology Sarlak, Mansoureh (Author) ; Sohrabpour, Mostafa (Supervisor)
    Abstract
    Environmental conditions of various cities of Iran are deteriorating due to various contributing effects of increased traffic, deforestation, industrial pollution etc. Arak is an example in point. It is a city of about 440,000 inhabitants. It is located at the edge of the main central desert (Kavir) of Iran. It lacks any appreciable vegetation or wooded areas and it is the home of a number of major industries. These include aluminum smelting, petrochemical industry, refinery, power plant and various other heavy manufacturing facilities. It was suggested to perform an air sampling of the city for a whole year (2010-2011) to determine the concentration of various elements by instrumental... 

    (MCNP Simulation of Online Elemental Analyzer in the Cement Manufacturing Poroces by Prompt Gamma Neutron Activation Analysis (PGNAA

    , M.Sc. Thesis Sharif University of Technology Sadeghi, Mohammad (Author) ; Sohrabpour, Mostafa (Supervisor)
    Abstract
    Method of Prompt Gamma Neutron Activation Analysis (PGNAA) is useful for controlling some massive production processes such as cement industry and mineral materials. Difficulty of other methods of analysis such as XRF comparing with PGNAA is that mass of sample is small and it doesn’t determine heterogeneity of mixture. On the other hand, need to sampling is also another problem of these analysis methods because sampling is terminated and it doesn’t supervise on production continuously, in fact its quality can’t be revealed simultaneously and there is a long time between sampling and control of process. Usually, analysis methods such as XRF are useful for processes that are controlled... 

    Investigation of the Suspended Particulate Matter of the Air of the City of Ahvaz In Normal and Dust storm Conditions by INAA and AAS

    , M.Sc. Thesis Sharif University of Technology Khani Veldani, Rahman (Author) ; Sohrabpour, Mostafa (Supervisor)
    Abstract
    Ahwaz is typical of a polluted city. It ranks in the third place after Tehran and Esfahan and with the onslaught Of the dust storms it has acquired the dubious distinction of 1st polluted city in the world. The pollution status of this city was investigated from May 2012 to May 2013. 110 air filters were collected during this period. The air filters were analysed with AAS and INAA techniques. with the use of AAS we measured the concentration of Cd, Cu, Fe, Mg, Mn, Ni and Pb elements. For the use of INAA method on the air filters we used two reactors of MNSR at Esfahan and the 5MW research reactor of Tehran. We managed to measure twenty five elements of Al , As , Br , Ca , Ce , Cl , Co , Cr ,... 

    Range Verification and Dose Evaluation in Proton Therapy by Using Monte Carlo Method

    , M.Sc. Thesis Sharif University of Technology Rabiee, Zahra (Author) ; Vosoughi, Naser (Supervisor)
    Abstract
    In this study, the emission and detection of secondary particles such as gamma and neutron along the beam path was investigated to evaluate proton range during treatment. Simulations and detections were performed by Geant4 toolkit that was developed base on Monte Carlo method. First, a mono-energetic proton beams irradiated a homogeneous water phantom. Then the factors influencing the accuracy of beam range estimation have been investigated and finally proton beam range was evaluated by simulation the human eye phantom. According to the results, the accuracy of range verification by prompt gamma is very high, about 1 mm. In phantoms with more oxygen in their composition, the percentage of... 

    Quantitative Analysis of Elements by Scintillation Detectors Using Whole Information of Gamma-Ray Spectrum

    , Ph.D. Dissertation Sharif University of Technology Shahabinejad, Hadi (Author) ; Vosoughi, Naser (Supervisor)
    Abstract
    Scintillation detectors are categorized as low energy resolution detectors in the classification of energy-sensitive detectors. The presence of broad peaks in the gamma-ray spectra of these detectors increases the overlapping probability of photopeaks of different isotopes and makes it extremely difficult to identify the spectra. The common method for identifying and quantifying of elements in a sample using nuclear spectroscopy is to use photopeak counts obtained with high-energy resolution detectors such as semiconductor detectors. To deal with the low energy resolution of scintillation detectors in quantitative analysis, the whole information of gamma-ray spectra is used instead of using... 

    Investigation of the Optimum Conditions for the Regeneration of Anion and Cation Exchange Resins of the TR System of Bushehr Nuclear Power Plant

    , M.Sc. Thesis Sharif University of Technology Arkannia, Mohammad Hossein (Author) ; Outokesh, Mohammad (Supervisor) ; Seyed Kalal, Hossein (Supervisor) ; Habibian, Alireza (Co-Supervisor)
    Abstract
    The main purpose of this research is to select a suitable solution for regeneration of ion exchange resins of TR system of Bushehr nuclear power plant and also to compare and evaluate the possibility of using industrial cationic resin (Amberlite IR120) instead of nuclear grade cationic resin (Amberlite IRN97).First, different solutions for regeneration of cationic resins were investigated. For this purpose, three strong acids including hydrochloric acid (HCl), sulfuric acid (H2SO4) and nitric acid (HNO3) were selected and each of these acids was tested in two different concentrations and two different linear velocities; Also, to evaluate the appropriate solution for anionic resin... 

    Investigation of brain default network's activation in autism spectrum disorders using group independent component analysis

    , Article 2014 21st Iranian Conference on Biomedical Engineering, ICBME 2014 ; 2014 , p. 177-180 Alizadeh, A ; Fatemizadeh, E ; Deevband, M. R ; Sharif University of Technology
    Abstract
    Autism Spectrum Disorders (ADS), with unknown etiology, is one of the most understudy fields of research worldwide that requires complicated and delicate analytical study methods. The purpose of this study was to compare active regions of Brain Default Mode Network (DMN) using Group Independent Component Analysis (6ICA) among resting state patients with Autism Disorder and healthy subjects. Default Mode Network consists of posterior cingulate cortex (PCC), lateral parietal cortex/angular gyrus retrosplenial cortex, medial prefrontal cortex, superior frontal gyrus, parahippocampal gyrus and temporal lobe shows more prominent activity in passive resting conditions. The diagnosis of autism... 

    Investigation of Brain Default Network's activation in autism spectrum disorders using Group Independent Component Analysis

    , Article 2014 21st Iranian Conference on Biomedical Engineering, ICBME 2014, 26 November 2014 through 28 November 2014 ; Nov , 2014 , Pages 177-180 ; 9781479974177 (ISBN) Alizadeh, A ; Fatemizadeh, E ; Deevband, M. R ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2014
    Abstract
    Autism Spectrum Disorders (ADS), with unknown etiology, is one of the most understudy fields of research worldwide that requires complicated and delicate analytical study methods. The purpose of this study was to compare active regions of Brain Default Mode Network (DMN) using Group Independent Component Analysis (6ICA) among resting state patients with Autism Disorder and healthy subjects. Default Mode Network consists of posterior cingulate cortex (PCC), lateral parietal cortex/angular gyrus retrosplenial cortex, medial prefrontal cortex, superior frontal gyrus, parahippocampal gyrus and temporal lobe shows more prominent activity in passive resting conditions. The diagnosis of autism... 

    An entropy based method for activation detection of functional MRI data using independent component analysis

    , Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 14 March 2010 through 19 March 2010 ; March , 2010 , Pages 2014-2017 ; 15206149 (ISSN) ; 9781424442966 (ISBN) Akhbari, M ; Babaie Zadeh, M ; Fatemizadeh, E ; Jutten, C ; Sharif University of Technology
    2010
    Abstract
    Independent Component Analysis (ICA) can be used to decompose functional Magnetic Resonance Imaging (fMRI) data into a set of statistically independent images which are likely to be the sources of fMRI data. After applying ICA, a set of independent components are produced, and then, a "meaningful" subset from these components must be identified, because a large majority of components are non-interesting. So, interpreting the components is an important and also difficult task. In this paper, we propose a criterion based on the entropy of time courses to automatically select the components of interest. This method does not require to know the stimulus pattern of the experiment  

    Simulation and Optimization of Neutron Activation Analysis Using the K0- IAEA Software and Comparison with the Experimental Results

    , M.Sc. Thesis Sharif University of Technology Sattari Heris, Aghil (Author) ; Vossoughi, Naser (Supervisor) ; Hosseini, Abolfazl (Supervisor)
    Abstract
    Neutron activation is a nuclear method for determination of elements in each sample. In this method, the samples are exposed to neutron irradiation by neutrons which are usually produced by research reactor, and then the core becomes unstable due to capturing the neutron and emits gamma rays. The emitted gamma rays can be detected by a detector like a HPGe semiconductor which has a high resolution. All nucleuses have a probability of neutron absorption, expressed by the absorption cross section area. The radioactive nuclei value depends on the nuclear half-life and the number of unstable nuclei. The only Windows environment commercial software for neutron activation analysis was K0 for... 

    Accurate Generation of Scintillator Detector Energy Spectrum by Monte Carlo Method for Gamma-Ray Spectrum Analysis Using whole Spectrum Data

    , M.Sc. Thesis Sharif University of Technology Ahmadi, Donya (Author) ; Vosoughi, Naser (Supervisor)
    Abstract
    Generating the experimental spectrum for all gamma-ray elements is difficult and practically impossible in some industrial applications. Furthermore, in many applications such as neutron activation, it is not possible to obtain an experimental spectrum for a single isotope on account of the fact that the gamma-ray spectrum obtained from neutron activation is derived from the gamma-rays of various elements in a sample. Therefore, using computational techniques like Monte Carlo method for calculating the detector response functions seems an appropriate solution. The detector response functions for 3''×3'' NaI detectors have been simulated using MCNPX 2.7 code and Ptrac card in this project.... 

    Effects of Ti-based catalysts on hydrogen desorption kinetics of nanostructured magnesium hydride

    , Article International Journal of Hydrogen Energy ; Volume 39, Issue 36 , December , 2014 , Pages 21007–21014 ; ISSN: 03603199 Daryani, M ; Simchi, A ; Sadati, M ; Hosseini, H. M ; Targholizadeh, H ; Khakbiz, M ; Sharif University of Technology
    Abstract
    In the present work, the synergetic effect of Ti-based catalysts (TiH2 and TiO2 particles) on hydrogen desorption kinetics of nanostructured magnesium hydride was investigated. Nanostructured 84mol% MgH2-10%mol TiH2-6%mol TiO2 nanocomposite powder was prepared by high-energy ball milling and subjected to thermal analyses. Evaluation of the absorption/desorption properties revealed that the addition of the Ti-based catalysts significantly improved the hydrogen storage performance of MgH2. A decrease in the decomposition temperature (as high as 100°C) was attained after co-milling of MgH2 with the Ti-based catalysts. Meanwhile, solid-state chemical reactions between MgH2 and TiO2 nanoparticles... 

    Rigidity of transmembrane proteins determines their cluster shape

    , Article Physical Review E - Statistical, Nonlinear, and Soft Matter Physics ; Volume 93, Issue 1 , 2016 ; 15393755 (ISSN) Jafarinia, H ; Khoshnood, A ; Jalali, M. A ; Sharif University of Technology
    American Physical Society 
    Abstract
    Protein aggregation in cell membrane is vital for the majority of biological functions. Recent experimental results suggest that transmembrane domains of proteins such as α-helices and β-sheets have different structural rigidities. We use molecular dynamics simulation of a coarse-grained model of protein-embedded lipid membranes to investigate the mechanisms of protein clustering. For a variety of protein concentrations, our simulations under thermal equilibrium conditions reveal that the structural rigidity of transmembrane domains dramatically affects interactions and changes the shape of the cluster. We have observed stable large aggregates even in the absence of hydrophobic mismatch,...