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cellular-automata
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Cavitation During Creep Deformation in AA7075-T76: Cellular Automata Simulation and Experiments
, Article Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science ; Volume 52, Issue 9 , 2021 , Pages 4146-4160 ; 10735623 (ISSN) ; Serajzadeh, S ; Sharif University of Technology
Springer
2021
Abstract
In this work, cavitation during creep in AA7075-T76 was simulated employing a probabilistic cellular automata scheme. Two-dimensional cellular automata coupled with the governing equations for cavity growth were utilized to define the size and distribution of cavities during creep. Both diffusion and strain-controlled mechanisms were taken into account while the first and second neighboring cells were considered for determination of the cavity growth as well as to generate the initial microstructure. Moreover, uni-axial creep experiments on AA7075-T76 were carried out under different temperatures and applied stresses including 170 MPa at 150 °C and 150 MPa at 160 °C. The microstructural...
An adaptive filter for noise cancelling in mammography images based on Cellular Automata
, Article International Review on Modelling and Simulations ; Volume 5, Issue 3 , June , 2012 , Pages 1322-1326 ; 19749821 (ISSN) ; Masoumzadeh Tork, A ; Yazdan Talab, E ; Ramezanpour, H ; Darmani, G ; Sharif University of Technology
2012
Abstract
In recent years, several techniques based on repetition of the image are used to remove noise. In this paper a new method based on Cellular Automata for image noise removal in mammography images is recommended. We present a new formulation that makes improvements. The formulation uses a neighborhood with sizes and format adapted to the features of the image on reconstruction. We demonstrated through experiments and comparison with other common used techniques that this procedure produces excellent results for the problem of restoring true color images
Investigation of phase diagrams for cylindrical Ising nanotube using cellular automata
, Article Physics Letters, Section A: General, Atomic and Solid State Physics ; Volume 382, Issue 19 , May , 2018 , Pages 1291-1297 ; 03759601 (ISSN) ; Ghaemi, M ; Afzali, K ; Sharif University of Technology
Elsevier B.V
2018
Abstract
Recent developments in the field of applied nanoscience and nanotechnology have heightened the need for categorizing various characteristics of nanostructures. In this regard, this paper establishes a novel method to investigate magnetic properties (phase diagram and spontaneous magnetization) of a cylindrical Ising nanotube. Using a two-layer Ising model and the core-shell concept, the interactions within nanotube has been modelled. In the model, both ferromagnetic and antiferromagnetic cases have been considered. Furthermore, the effect of nanotube's length on the critical temperature is investigated. The model has been simulated using cellular automata approach and phase diagrams were...
Open synchronous cellular learning automata
, Article Advances in Complex Systems ; Volume 10, Issue 4 , 2007 , Pages 527-556 ; 02195259 (ISSN) ; Meybodi, M. R ; Sharif University of Technology
World Scientific Publishing Co. Pte Ltd
2007
Abstract
Cellular learning automata is a combination of learning automata and cellular automata. This model is superior to cellular learning automata because of its ability to learn and also is superior to single learning automaton because it is a collection of learning automata which can interact together. In some applications such as image processing, a type of cellular learning automata in which the action of each cell in the next stage of its evolution not only depends on the local environment (actions of its neighbors) but it also depends on the external environments. We call such a cellular learning automata as open cellular learning automata. In this paper, we introduce open cellular learning...
A mathematical framework for cellular learning automata
, Article Advances in Complex Systems ; Volume 7, Issue 3-4 , 2004 , Pages 295-319 ; 02195259 (ISSN) ; Meybodi, M. R ; Sharif University of Technology
2004
Abstract
The cellular learning automata, which is a combination of cellular automata, and learning automata, is a new recently introduced model. This model is superior to cellular automata because of its ability to learn and is also superior to a single learning automaton because it is a collection of learning automata which can interact with each other. The basic idea of cellular learning automata, which is a subclass of stochastic cellular learning automata, is to use the learning automata to adjust the state transition probability of stochastic cellular automata. In this paper, we first provide a mathematical framework for cellular learning automata and then study its convergence behavior. It is...
Quantum-Dot Cellular Automata (QCA): Theory and Application
,
M.Sc. Thesis
Sharif University of Technology
;
Faez, Rahim
(Supervisor)
;
Bagheri Shouraki, Saeed
(Supervisor)
Abstract
Quantum-Dot Cellular Automata (QCA) is a novel field of nanotechnology which is being designed and implemented in molecular scales. It has major advantageous over transistor based technology such as: low power consumption, high information transition speed, small size and high density. It has been shown that conventional transistor based circuits can be implemented in this nanotechnology with less complexity. Furthermore, binary circuits can be implemented in QCA technology since QCA cells have only two independent and equivalent states. So, QCA provides appropriate space for computational circuits. The aim of computational circuits design is to achieve small size and high speed processors....
Simulation of recrystallization and martensite revision in 304L austenitic stainless steel after multi-pass rolling processes
, Article Multiscale and Multidisciplinary Modeling, Experiments and Design ; Volume 3, Issue 4 , 2020 , Pages 227-244 ; Serajzadeh, S ; Sharif University of Technology
Springer Science and Business Media B.V
2020
Abstract
In this work, non-isothermal annealing of cold-rolled 304L austenitic stainless steel was studied at temperatures ranging between 400 and 800 °C. In the first place, a dual-phase structure containing work-hardened austenite and strain-induced martensite was produced by means of multi-pass plate rolling, and then, the deformed steel was subjected to annealing heat treatments. To determine the distribution of stored strain energy in the rolling operations, an elastic–plastic finite-element modeling was conducted. Afterwards, an artificial neural network technique was coupled with the thermal-cellular automata model for prediction of martensite reversion, temperature history, and...
Asynchronous cellular learning automata
, Article Automatica ; Volume 44, Issue 5 , 2008 , Pages 1350-1357 ; 00051098 (ISSN) ; Meybodi, M. R ; Sharif University of Technology
2008
Abstract
Cellular learning automata is a combination of cellular automata and learning automata. The synchronous version of cellular learning automata in which all learning automata in different cells are activated synchronously, has found many applications. In some applications a type of cellular learning automata in which learning automata in different cells are activated asynchronously (asynchronous cellular learning automata) is needed. In this paper, we introduce asynchronous cellular learning automata and study its steady state behavior. Then an application of this new model to cellular networks has been presented. © 2008
Design of Local Rule for Cellular Automata Using Evolutionary Algorithms
,
M.Sc. Thesis
Sharif University of Technology
;
Beigy, Hamid
(Supervisor)
Abstract
Cellular automata is a model for physical systems that has homogenous and simple components. Simple components, which are called cells, have local interactions creating complicated global emergent of behaviour. In the field of cellular automata, there are two basic problems: forward and inverse problems. Characterizations of cellular automata rule are studied in forward problem, but in inverse problem, there exists a description of cellular automata and we should find a rule or a set of rules that satisfy the given description. This problem belongs to the class of NP problems and hence heuristic algorithms such as evolutionary algorithms have been used for solving it. Since rules space and...
Microstructural changes during static recrystallization of austenitic stainless steel 304l: cellular automata simulation
, Article Metallography, Microstructure, and Analysis ; Volume 9, Issue 2 , 2020 , Pages 223-238 ; Serajzadeh, S ; Sharif University of Technology
Springer
2020
Abstract
Static recrystallization and microstructural changes in austenitic stainless steel 304L were studied. The rolling experiments at 200 °C were carried out, and then, annealing treatment was made at temperatures ranging between 500 and 830 °C. A model was also developed to simulate the kinetics of non-isothermal recrystallization within the rolled steel. The distribution of plastic strains during rolling was predicted utilizing an elastic–plastic finite element formulation performed in ABAQUS/Explicit, while the predicted results were used to generate the as-rolled microstructure and to estimate the stored energy. Finally, microstructural–thermal model based on cellular automata was developed...
Efficient design of a coplanar adder/subtractor in quantum-dot cellular automata
, Article 9th UKSim-AMSS IEEE European Modelling Symposium on Computer Modelling and Simulation, EMS 2015, 6 October 2015 through 8 October 2016 ; 2015 , Pages 456-461 ; 9781509002061 (ISBN) ; Karimpour, M ; Sarayloo, M ; Romero G ; Orsoni A ; Al-Dabass D ; Pantelous A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2015
Abstract
Scaling of CMOS devices being aggressively decreasing by reduce of transistor dimensions. However, such level of integration leads to many physical limit and transistors cannot get much smaller than their current size. Quantum-dot Cellular Automate is a novel technology which significantly reduces physical limit of CMOS devices implementation, thus, it can be an appropriate candidate to be substituted for CMOS technology. In addition to high integration density of QCA circuits, other unique specifications such as high speed and low power consumption encourage researchers to utilize this technology instead of CMOS technology. In this paper, a new layout of XOR gate is presented in QCA...
Simulation of austenite decomposition in continuous cooling conditions: a cellular automata-finite element modelling
, Article Ironmaking and Steelmaking ; 2017 , Pages 1-9 ; 03019233 (ISSN) ; Serajzadeh, S ; Sharif University of Technology
Abstract
Transformation of austenite to ferrite under continuous cooling condition was investigated. The heat conduction problem was managed by finite element method while two-dimensional cellular automata modeling was simultaneously performed to predict the progress of austenite decomposition using a two-step algorithm to reduce surface-to-volume ratio. Continuous cooling experiments on low carbon steel were made and the ferrite structure was determined and compared with the simulation data. The predicted and the experimental results demonstrated an acceptable consistency and the activation energy for ferrite growth was determined as 171 kJ/mole. The rate of ferrite transformation increased under...
High speed and low cost synchronous counter design in quantum-dot cellular automata
, Article Microelectronics Journal ; Volume 73 , March , 2018 , Pages 1-11 ; 00262692 (ISSN) ; Abedi, D ; Yoosefi, E ; Karimpour, M ; Sharif University of Technology
Elsevier Ltd
2018
Abstract
Quantum-dot Cellular Automata (QCA) is a very interesting nano-scale technology. Extremely small feature size and ultra-low power consumption are the most important features of QCA compared to CMOS. Counters are considered as one of the most fundamental components in sequential circuits. Previous QCA synchronous counters (QSCs) have been designed and simulated using two methods. In the first method, QSCs utilize direct mapping flip-flop designs in CMOS technology to QCA. In the second method, QSCs are designed with the inherent capability of QCA technology. Despite being attractive, mentioned approaches have constraints (i.e. long wire length and area issues). In this brief, design and...
Simulation of austenite decomposition in continuous cooling conditions: a cellular automata-finite element modelling
, Article Ironmaking and Steelmaking ; Volume 46, Issue 6 , 2019 , Pages 513-521 ; 03019233 (ISSN) ; Serajzadeh, S ; Sharif University of Technology
Taylor and Francis Ltd
2019
Abstract
Transformation of austenite to ferrite under continuous cooling condition was investigated. The heat conduction problem was managed by finite element method while two-dimensional cellular automata modeling was simultaneously performed to predict the progress of austenite decomposition using a two-step algorithm to reduce surface-to-volume ratio. Continuous cooling experiments on low carbon steel were made and the ferrite structure was determined and compared with the simulation data. The predicted and the experimental results demonstrated an acceptable consistency and the activation energy for ferrite growth was determined as 171 kJ/mole. The rate of ferrite transformation increased under...
A combinational logic optimization for majority gate-based nanoelectronic circuits based on GA
, Article 2011 International Semiconductor Device Research Symposium, ISDRS 2011, College Park, MD, 7 December 2011 through 9 December 2011 ; 2011 ; 9781457717550 (ISBN) ; Kamrani, M ; Sayedsalehi, S ; Navi, K ; Sharif University of Technology
Abstract
Quantum dots cellular automata is a new computing method in the nanotechnology that has considerable features such as low power, small dimension and high speed switch. A QCA device stores logic based on the position of individual electrons. The fundamental logic elements in QCA are the majority (Fig.1 (a)) and inverter gates (Fig.1 (b)) that operate based on the Coulomb repulsion between electrons [1]
Modelling drivers' behaviour as a crash risk reduction process
, Article Promet - Traffic - Traffico ; Volume 20, Issue 3 , Volume 20, Issue 3 , 2008 , Pages 139-146 ; 03535320 (ISSN) ; Vaziri, M ; Sharif University of Technology
Faculty of Transport and Traffic Engineering
2008
Abstract
The evermore widespread use of microscopic traffic simulation in the analysis of road systems has refocused attention on sub models, including car-following and lane-changing models. In this research a microscopic model is developed which combines car-following and lane-changing models and describes driver behaviour as a crash risk reduction process of drivers. This model has been simulated by a cellular automata simulator and compared with the real data. It has been shown that there is no reason to consider the model invalid for drivers' behaviour in the basic segments of freeways in Iran, during not-congested conditions. Considering that uncertainty of position of vehicles is caused by...
Abstract geometrical computation 10: An intrinsically universal family of signal machines
, Article ACM Transactions on Computation Theory ; Volume 13, Issue 1 , 2021 ; 19423454 (ISSN) ; Besson, T ; Durand Lose, J ; Emmanuel, A ; Foroughmand Araabi, M. H ; Goliaei, S ; Heydarshahi, S ; Sharif University of Technology
Association for Computing Machinery
2021
Abstract
Signal machines form an abstract and idealized model of collision computing. Based on dimensionless signals moving on the real line, they model particle/signal dynamics in Cellular Automata. Each particle, or signal, moves at constant speed in continuous time and space. When signals meet, they get replaced by other signals. A signal machine defines the types of available signals, their speeds, and the rules for replacement in collision. A signal machine A simulates another one B if all the space-time diagrams of B can be generated from space-time diagrams of A by removing some signals and renaming other signals according to local information. Given any finite set of speeds S we construct a...
Simulation of static recrystallization after cold side-pressing of low carbon steels using cellular automata
, Article Journal of Materials Engineering and Performance ; Volume 21, Issue 8 , 2012 , Pages 1553-1561 ; 10599495 (ISSN) ; Serajzadeh, S ; Sharif University of Technology
Abstract
In this article, the finite element and cellular automata models are coupled to determine static recrystallization kinetics after cold deformation of low carbon steels. The deformation analysis is first performed to predict the strain, stress, and stored energy distributions within the deformed steel employing the finite element software, ABAQUS. Then, the kinetics of static recrystallization and distribution of recrystallized grain size are evaluated by means of a cellular automata model together with the stored energy calculated by the deformation analysis. To examine the predictions, the experimental results of recrystallized fractions and grain sizes after cold side-pressing of low...
Parallel Implemetaion of Dynamic Traffic Assignment
, M.Sc. Thesis Sharif University of Technology ; Shafahi, Yousef (Supervisor)
Abstract
In this research, a Simulation-based Dynamic Traffic Assignment model based on parallel Processing is proposed. Dynamic Traffic Assignment has two key sub problems: Route choice modeling and Dynamic network loading. In route choice problem, a Type-II fuzzy system is proposed to model the complexities and ambiguities, which exist in the behavior of network users. The model can consider behaviors of network users in the forms of route choosing and route changing. In dynamic network loading problem, a Cellular Automata model is proposed as a microscopic simulator. Finally, In order to speed up the model and to use it in real time problems, the proposed Dynamic Traffic Assignment algorithm is...
Simulation of Non-isothermal Austenite to Ferrite Transformation by Using Cellular Automaton Method
, M.Sc. Thesis Sharif University of Technology ; Serajzadeh, Siamak (Supervisor)
Abstract
In this study, transformation of austenite to ferrite under continuous cooling condition of a low carbon steel was investigated. In the first step, a heat transfer model was employedconsidering governing heat transfer boundary conditions and a microstructure model based on Cellular Automaton method was used simultaneouslyto predict austenite to ferrite transformation progress. The influence of pre-heating temperature and primary austenite grain size on the final ferrite grain size and distribution were perdected. To verify the simulation results, experimental processes were utilized. The microstructure distribution was determined by means of Clemex Pro software then, these results were...