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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 ; 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 ; 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...
Investigation and Simulation of Rapid Changes in NPPs Power using System Codes (Case Study of Bushehr power plant)
, M.Sc. Thesis Sharif University of Technology ; Ghaffari, Mohsen (Supervisor)
Abstract
Among nuclear power plants, it is no secret that PWRs are extremely popular due to their high power density. Among the prominent features of this type of power plants is the mutual influence of the thermal characteristics of the first and second circuits on each other. Also, due to the existence of thermal feedbacks in the heart and the influence of neutronic power on it, it will not be possible to change the power as easily as in other thermal power plants. A change in the thermal characteristics of the power plant occurs in normal, start-up and accident conditions and can cause a change in the control algorithm of the power plant. During start-up, performing relevant tests and operation,...
Predication of Unmeasurable Parameters of the Reactor Core by Soft Computing Methods at the Transient State
, M.Sc. Thesis Sharif University of Technology ; 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...
Pin Power Reconstruction Method by Nodal Core Calculation Results
, M.Sc. Thesis Sharif University of Technology ; 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 ; 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,...
Improving the Quality Factor by using the Cooling System in the Cavity
, M.Sc. Thesis Sharif University of Technology ; Ghaffari, Mohsen (Supervisor) ; Hosseini, Abolfazl (Supervisor)
Abstract
In this thesis, the accelerator and cooling equations have been investigated in order to improve the quality of the accelerator by using cooling. With the help of MATLAB software, a cooling method has been proposed that can have a relatively uniform temperature throughout the accelerator. In order to optimize and minimize the number of coolers for each desired temperature difference and each number of coolers, an arrangement of coolers is found so that the temperature difference is minimal. There are different types of charged particle accelerator systems in terms of the structure and energy of the output particles. Linear accelerators are accelerators in which charged particles move along a...
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 ; 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 ; 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 ; 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...
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 ; 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) ; 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) ; 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) ; 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) ; 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) ; 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) ; 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...
Split supersymmetry breaking from Stückelberg mixing of multiple U(1)'s
, Article Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics ; Volume 796 , 2019 , Pages 32-37 ; 03702693 (ISSN) ; Torabian, M ; Sharif University of Technology
Elsevier B.V
2019
Abstract
We show that multiple Abelian sectors with Stückelberg mass-mixing simply break supersymmetry via Fayet-Iliopoulos D-terms and straightforwardly mediate it to the other sectors. This mechanism naturally realizes a split supersymmetry spectrum for soft parameters. Scalar squared-masses (holomorphic and non-holomorphic) are induced through sizable portals and are not suppressed. Gaugino masses, a-terms and a μ-like term are generated by higher-dimensional operators and are suppressed. The hypercharge is mixed with extra U(1)'s, it's D-term in non-vanishing and supersymmetry is broken in the visible sector too. Scalar tachyonic directions are removed by unsuppressed interactions and hypercharge...
Distributed arboricity-dependent graph coloring via all-to-all communication
, Article 46th International Colloquium on Automata, Languages, and Programming, ICALP 2019, 9 July 2019 through 12 July 2019 ; Volume 132 , 2019 ; 18688969 (ISSN); 9783959771092 (ISBN) ; Sayyadi, A ; Sharif University of Technology
Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
2019
Abstract
We present a constant-time randomized distributed algorithms in the congested clique model that computes an O(α)-vertex-coloring, with high probability. Here, α denotes the arboricity of the graph, which is, roughly speaking, the edge-density of the densest subgraph. Congested clique is a well-studied model of synchronous message passing for distributed computing with all-to-all communication: per round each node can send one O(log n)-bit message algorithm to each other node. Our O(1)-round algorithm settles the randomized round complexity of the O(α)-coloring problem. We also explain that a similar method can provide a constant-time randomized algorithm for decomposing the graph into O(α)...
Modeling and Control of Ethylene Oxide Reactor
, M.Sc. Thesis Sharif University of Technology ; 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...