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    Predication of Unmeasurable Parameters of the Reactor Core by Soft Computing Methods at the Transient State

    , M.Sc. Thesis Sharif University of Technology Moradi, Milad (Author) ; Ghaffari, Mohsen (Supervisor)
    Abstract
    The parameters within the reactor core can be categorized into two distinct groups of measurable parameters and unmeasurable parameters. The determination of unmeasurable parameters, such as void fraction and critical heat flux, plays a pivotal and fundamental role in predicting the occurrence of accidents and emergency situations within the reactor. The utilization of deep neural networks represents one of the methods for accurately and reliably estimating these parameters within future temporal intervals. Such estimations facilitate the implementation of necessary measures to prevent accidents or mitigate their consequences. In this study, we employ three deep neural network models namely... 

    Investigation of Operator Performance during Large Break Loss of Coolant Accident (LB-LOCA) without Access to Active Emergency Core Cooling System (ECCS) in Bushehr Nuclear Power Plant using MELCOR Code

    , M.Sc. Thesis Sharif University of Technology Alijani, Saeed (Author) ; Ghaffari, Mohsen (Supervisor)
    Abstract
    In this research, the thermohydraulic parameters of the reactor of Bushehr power plant have been compared between the activation or not of the emergency gas extraction (YR) system by the operator during the LB-LOCA accident, without access to the active part of the ECCS. Bushehr nuclear power plant reactor is of VVER-1000 type and has a primary and secondary circuit, which is completely modeled in this research. After the complete review and understanding of the primary circuit and its systems, the information required for modeling has been collected from the existing documents of the power plant, and after that, the modeling and sizing of the heart components and the four main rings and the... 

    Development of Control/Dynamic Model of Bushehr Nuclear Power Plant Using MATLAB/Simulink Software

    , M.Sc. Thesis Sharif University of Technology Jafarabadi, Ali (Author) ; Ghaffari, Mohsen (Supervisor)
    Abstract
    Evaluating the optimal performance of any dynamic system necessitates estimating its efficiency using simulation tools. MATLAB/Simulink is one of the most widely used and suitable simulation environments, enabling users to implement time-dependent differential equations governing the system, create corresponding models, and design appropriate controllers. This research aims to extract differential equations describing the dynamics of the main systems of the Bushehr nuclear power plant. Subsequently, using this simulation environment, the systems in question are implemented individually, and for each, an appropriate control system is designed based on its specific function. Ultimately, all... 

    Pin Power Reconstruction Method by Nodal Core Calculation Results

    , M.Sc. Thesis Sharif University of Technology Kefalati, Mohadeseh (Author) ; Vosoughi, Naser (Supervisor) ; Ghaffari, Mohsen (Supervisor)
    Abstract
    The widespread use of nuclear energy leads to obtain detailed information, such as neutron flux distribution (power) which is very effective in designing and evaluating the reactor safety. The neutron flux (power) reconstruction method uses the homogeneous flux distribution and the heterogeneous form function in a fuel assembly to calculate the heterogeneous power in the fuel rods. Therefore, this method has been widely developed in the last two decades. This study investigates to calculate two-dimensional and two-group neutron flux (power) in the fuel rod for both quadrilateral and hexagonal geometry related to core results by using nodal method. To achieve a more complete program and join... 

    Investigation of the Fuel Arrangement Effect on the Thermal Feedback Coefficients in Transition Conditions of Bushehr Power Plant

    , M.Sc. Thesis Sharif University of Technology Mousavi Nejad, Mohammad Reza (Author) ; Ghaffari, Mohsen (Supervisor)
    Abstract
    Fuel management in the core of nuclear power reactors is one of the most basic fields in nuclear engineering. Fuel management in the core is the problem of optimizing the design of the loading pattern because one of the ways to increase the economic performance and safety factor of nuclear power plants is to determine a suitable strategy for fueling in the core, in fact a reasonable loading pattern for competitive The development of nuclear power plants is very important. The optimal loading pattern can be defined as the configuration that has the maximum cycle length for a given fuel inventory or uses the minimum amount of fissile material for a given cycle length. From the past until now,... 

    Detecting of Faulty Sensor and Its Value Reconstructing in Small Break Loss of Coolant Accident using Neural Networks

    , M.Sc. Thesis Sharif University of Technology Mohammad Parchavi, Zeinab (Author) ; Vosoughi, Naser (Supervisor) ; Ghaffari, Mohsen (Supervisor)
    Abstract
    Sensors are one of the most important parts of safety and control systems in nuclear power plants. Failure to calibrate the sensors or their failure in a power plant and displaying incorrect values can lead to wrong and sometimes disastrous decisions. The first idea to check the sensors is to physically visit them. This method requires the reactor to be shut down and increase the radiation exposure of the operators and reduce the reliability and useful life of the equipment. Another approach is to use hardware redundancy. In this method, additional sensors are used to measure a variable, and the average value of the sensors is used as a reference for cross-checking. The limited available... 

    Development of a Validation and Calibration Algorithm for Thermohydraulic Sensors of Bushehr NPP First Circuit Using Neural Networks

    , M.Sc. Thesis Sharif University of Technology Ebrahimzadeh, Alireza (Author) ; Ghaffari, Mohsen (Supervisor) ; Moshkbar-Bakhshayesh, Khalil (Co-Supervisor)
    Abstract
    Sensors are one of the most vital instruments in Nuclear Power Plants (NPP), and operators and safety systems monitor various parts of the NPP and control transients by analyzing the values reported by the sensors. Failure to detect malfunctions or anomalies in them would lead to catastrophic consequences. A new approach based on thermo-hydraulic simulation by RELAP5 code and Feed-Forward Neural Networks (FFNN) is given to detect faulty sensors and estimate their correct value which are two main objectives of the current study. This approach consists of two main parts; The first part, Fault Detection Hyper Block (FDHB), responsible for detecting faulty sensors, and the second part,... 

    Multiclass, multistage, and multilevel fiber-optic CDMA signaling techniques based on advanced binary optical logic gate elements

    , Article IEEE Transactions on Communications ; Volume 57, Issue 5, 2009, Pages 1424-1432 Ghaffari, B. M ; Salehi, J. A ; Sharif University Of Technology
    Abstract
    In this paper we introduce and propose novel signaling methods and receiver structures based on advanced binary optical logic gates for fiber-optic code division multiple access (FO-CDMA) systems using all-optical signal processing. In the proposed system the users of the network are categorized into multiple classes. Users of each class transmit at the same power level but different from the levels of the other classes' users. Using a combination of optical OR, AND and XNOR logic gates for the receiver structure we show that such a network not only takes the full advantages of all-optical signal processing but also demonstrates a considerable throughput efficiency when compared to ordinary... 

    Applying Data Mining Techniques in a Real Problem

    , M.Sc. Thesis Sharif University of Technology Ghaffari, Bahere (Author) ; Salmasi, Naser (Supervisor)
    Abstract
    Data mining (DM) is one of the newest techniques which is used in decision making. DM helps the specialist to find the valuable knowledge which is hidden in data, with different techniques. DM has many research areas such as scientific research, medical fields, health care, fraud detection, marketing and customer relationship, sport, and games, and where ever there is data. Unfortunately, in our country, DM is not engaged seriously and there are fallacies of DM that weaken its efficiency. In this thesis, which is prepared in two sections, at the first section different techniques of DM are described and in the second section DM process is performed for a real world problem. For this purpose,... 

    Energy/Throughput Efficient Signalings for Optical CDMA Systems

    , Ph.D. Dissertation Sharif University of Technology Ghaffari, Babak (Author) ; Salehi, Javad (Supervisor)
    Abstract
    A major breakthorugh in all-optical wireless and wired communication networks is taking place in the last mile such as access networks. In this case، study-ing various multiple-access techniques in all-optical domain، especially optical code-division multiple-access (OCDMA) technique is of utmost importance. In this thesis we study several key signalings and modulation techniques in the con-text of their performance، energy and throughput efficiency for OCDMA systems. In particular we introduce novel multilevel signaling techniques for OOC-based fiber-optic CDMA systems and present their corresponding all-optical receiver structures using advanced optical devices such as optical-logic-gate... 

    Multi-scale Modeling of Crack Using Nano-XFEM

    , M.Sc. Thesis Sharif University of Technology Ghaffari, Reza (Author) ; Haddadpour, Hassan (Supervisor)
    Abstract
    In this thesis a mutliScale model based on the Cauchy-Born hypothesis and via usage of XFEM is proposed for crack modeling. By solving an example, the important of surface effects in the surface stresses region is shown. Considering not being able to model the surface effects with the Cauchy-Born method, the boundary Cauchy-Born method for modeling crack effects is used. Moreover, three Molecular Dynamics method for modeling crack will be proposed. According to the obtained results from these methods, it was deduced that for calculating the correct surface stresses in Molecular Dynamics the mutual interaction of upper and lower atoms of crack should be omitted. Finally, the validation of... 

    Modeling and Control of Ethylene Oxide Reactor

    , M.Sc. Thesis Sharif University of Technology Ghaffari, Soodabeh (Author) ; Shahrokhi, Mohammad (Supervisor)
    Abstract
    Modeling and Control of Ethylene Oxide Reactor In this thesis, steady and dynamic modeling of an ethylene oxide fixed bed reactor has been studied and one dimensional pseudo homogeneous model was used for simulating the reactor. Kinetic parameters were obtained by minimizing an object function and using the genetic algorithm. A good agreement is observed between simulation and experimental results. In steady state condition, the influence of some parameters such as shell temperature, feed rate were investigated on the performance of the reactor. The heat of reaction is used to produce steam. A dynamic model for steam drum was also considered and used for control purpose. A PI controller was... 

    Parametric Investigation and Finite Element Modeling of an Innovative Semi-Rigid Beam to Column Connection under Monotonic Loading

    , M.Sc. Thesis Sharif University of Technology Ghaffari, Yousef (Author) ; Mofid, Masoud (Supervisor)
    Abstract
    This thesis presents the development of a Finite Element Model (FEM) for a new type of Beam-Column Semi-Rigid steel connection. This connection consists of a steel semi cylinder connected to a plate and inserted on the top and bottom of the beam connecting it to the column by welding. It seems that changing the geometry of the semi cylinders and their weld lengths can have a great influence on the rigidity or flexibility of the connection. Therefore, meaningful categories of the connection with different semi cylinder geometries and weld lengths have been modeled and investigated by means of a Finite Element Modeling software ABAQUS, and their moment-rotation curves were driven. Also the... 

    Sparse-induced similarity measure: Mono-modal image registration via sparse-induced similarity measure

    , Article IET Image Processing ; Volume 8, Issue 12 , 1 December , 2014 , Pages 728-741 ; ISSN: 17519659 Ghaffari, A ; Fatemizadeh, E ; Sharif University of Technology
    2014
    Abstract
    Similarity measure is an important key in image registration. Most traditional intensity-based similarity measures (e.g. sum-of-squared-differences, correlation coefficient, mutual information and correlation ratio) assume a stationary image and pixel-by-pixel independence. These similarity measures ignore the correlation among pixel intensities; hence, a perfect image registration cannot be achieved especially in the presence of spatially varying intensity distortions and outlier objects that appear in one image but not in the other. It is supposed here that non-stationary intensity distortion (such as bias field) has a sparse representation in the transformation domain. Based on this... 

    Mono-modal image registration via correntropy measure

    , Article Iranian Conference on Machine Vision and Image Processing, MVIP ; Sept , 2013 , Pages 223-226 ; 21666776 (ISSN) ; 9781467361842 (ISBN) Ghaffari, A ; Fatemizadeh, E ; Sharif University of Technology
    IEEE Computer Society  2013
    Abstract
    The registration of images is a fundamental task in numerous applications in medical image processing. Similarity measure is an important key in intensity based image registration. Here, we propose correntropy measure as similarity measure in mono modal setting. Correntropy is a important measure between two random variables based on information theoretic learning and kernel methods. This measure is useful in non-Gaussian signal processing. In this paper, this measure is used in image registration. Here, we analytically illustrate that this measure is robust in presence of spiky noise (impulsive noise). The experimental results show that the proposed similarity has better performance than... 

    Sparse based similarity measure for mono-modal image registration

    , Article Iranian Conference on Machine Vision and Image Processing, MVIP ; Sept , 2013 , Pages 462-466 ; 21666776 (ISSN) ; 9781467361842 (ISBN) Ghaffari, A ; Fatemizadeh, E ; Sharif University of Technology
    IEEE Computer Society  2013
    Abstract
    Similarity measure is an important key in image registration. Most traditional intensity-based similarity measures (e.g., SSD, CC, MI, and CR) assume stationary image and pixel by pixel independence. Hence, perfect image registration cannot be achieved especially in presence of spatially-varying intensity distortions and outlier objects that appear in one image but not in the other. Here, we suppose that non stationary intensity distortion (such as Bias field or Outlier) has sparse representation in transformation domain. Based on this as-sumption, the zero norm (ℓ0)of the residual image between two registered images in transform domain is introduced as a new similarity measure in presence... 

    RISM: Single-Modal Image Registration via Rank-Induced Similarity Measure

    , Article IEEE Transactions on Image Processing ; Volume 24, Issue 12 , 2015 , Pages 5567-5580 ; 10577149 (ISSN) Ghaffari, A ; Fatemizadeh, E ; Sharif University of Technology
    2015
    Abstract
    Similarity measure is an important block in image registration. Most traditional intensity-based similarity measures (e.g., sum-of-squared-difference, correlation coefficient, and mutual information) assume a stationary image and pixel-by-pixel independence. These similarity measures ignore the correlation between pixel intensities; hence, perfect image registration cannot be achieved, especially in the presence of spatially varying intensity distortions. Here, we assume that spatially varying intensity distortion (such as bias field) is a low-rank matrix. Based on this assumption, we formulate the image registration problem as a nonlinear and low-rank matrix decomposition (NLLRMD).... 

    Robust Huber similarity measure for image registration in the presence of spatially-varying intensity distortion

    , Article Signal Processing ; Volume 109 , April , 2015 , Pages 54-68 ; 01651684 (ISSN) Ghaffari, A ; Fatemizadeh, E ; Sharif University of Technology
    Elsevier  2015
    Abstract
    Similarity measure is an important part of image registration. The main challenge of similarity measure is lack of robustness to different distortions. A well-known distortion is spatially-varying intensity distortion. Its main characteristic is correlation among pixels. Most traditional intensity based similarity measures (e.g., SSD, MI) assume stationary image and pixel to pixel independence. Hence, these similarity measures are not robust against spatially-varying intensity distortion. Here, we suppose that non-stationary intensity distortion has a sparse representation in transform domain, i.e. its distribution has high peak at origin and a long tail. We use two viewpoints of Maximum... 

    A new routing algorithm for sparse vehicular AD HOC networks with moving destinations

    , Article 2009 IEEE Wireless Communications and Networking Conference, WCNC 2009, Budapest, 5 April 2009 through 8 April 2009 ; 2009 ; 15253511 (ISSN); 9781424429486 (ISBN) Ghaffari, M ; Ashtian, F ; Sharif University of Technology
    2009
    Abstract
    In this paper, we propose the Object Pursuing based Efficient Routing Algorithm (OPERA) suitable for vehicular ad hoc networks (VANETs), esp. in sparse situations. The proposed algorithm is applicable for both moving and fixed destinations. It is based on considering static nodes at each intersection. In this algorithm, we optimize the decision making at intersections, with respect to the connectivity and feasibilty of the roads. To this end, we consider the average delay of each road as the connectivity metric, and the vehicle availability in the transmission range of the intersection as the feasibility metric. By exploiting the related metrics, we select the next road to forward the packet... 

    Image registration based on low rank matrix: rank-regularized SSD

    , Article IEEE Transactions on Medical Imaging ; January , 2018 , Pages 138-150 ; 02780062 (ISSN) Ghaffari, A ; Fatemizadeh, E ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2018
    Abstract
    Similarity measure is a main core of image registration algorithms. Spatially varying intensity distortion is an important challenge, which affects the performance of similarity measures. Correlation among the pixels is the main characteristic of this distortion. Similarity measures such as sum-of-squared-differences (SSD) and mutual information ignore this correlation; hence, perfect registration cannot be achieved in the presence of this distortion. In this paper, we model this correlation with the aid of the low rank matrix theory. Based on this model, we compensate this distortion analytically and introduce rank-regularized SSD (RRSSD). This new similarity measure is a modified SSD based...