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Fluid Dynamics Simulation Using Cellular Automata
Režňák, Michal ; Janoušek, Vladimír (referee) ; Peringer, Petr (advisor)
The main objective of this work was to create application for fluid flow simulation using Lattice Gas Cellular Automata. Used simulation models are HPP, FHP-I, FHP-II and FHP-III. The program is implemented in a C++ language in a way that it can run in WebAssembly web standard. Part of the work is comparison between wasm, ams.js formats and native desktop (x86_64). This shows that time for application loading in web browser is much smaller for wasm format than for asm.js and application performance in wasm format is about 24% higher than asm.js but 50% smaller than a native desktop. The application is suitable for educational purpose as a presentation of cellular automata simulation and also as an introduction to the Lattice Boltzmann method for fluid flow simulation.
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Cellular Automata Simulator
Martinek, Dominik ; Polášek, Petr (referee) ; Peringer, Petr (advisor)
This work describes concept and implementation of cellular automata simulator. It is resolved into three thematic parts. First part is devoted to describe many kinds of cellular automata.In second part is concept of simulator. Thirt part contains procedure of implementation and some test and exemplary models.
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Generating Pseudo-Random Numbers by Means of Cellular Automata
Krofingerová, Lada ; Drábek, Vladimír (referee) ; Bidlo, Michal (advisor)
This thesis deals with generating pseudo-random number by means of cellular automat. The methods which are already used were explored, including steps which were used to design the cellular automata. As follow-up to these methods the four state celullular automaton was designed for the purpose of improving the quality of generated numbers. For design of the rule table was used the genetic algorithm. For comparision with already used methods were used the statistical tests. They showed that even though the four state cellular automaton is good generator of the pseudo-random numbers, in state which it was designed it isn’t better in generating then already used cellular automata.
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Acceleration of Particles Tracking on CBM Experiment
Roth, Michael ; Kolář, Martin (referee) ; Musil, Petr (advisor)
The focus of this work is to research various methods of particle track reconstruction in the CBM experiment, and the problem of hardware acceleration of these methods. The advantages and disadvantages of the extended methods were discussed and a reconstruction method based on cellular automata and Extended Kalman filters was selected for further study. In particular, the thesis details the development of a simulation model suitable for generating test data to facilitate the implementation of the selected tracking algorithm, which was subsequently sped up using distributed computing methods. Two different particle simulation models and a reconstruction algorithm were implemented, with the reconstruction algorithm offering up to 800 per cent speed up factor in respect to the sequential algorithm and up to four orders of magnitude lower memory complexity.
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Complexity in Cellular Automata
Hudcová, Barbora ; Mikolov, Tomáš (advisor)
In order to identify complex systems capable of modeling artificial life, we study the notion of complexity within a class of dynamical systems called cellu- lar automata. We present a novel classification of cellular automata dynamics, which helps us identify interesting behavior in large automaton spaces. We give a detailed comparison of our results to previous methods of dynamics classification. In the second part of the thesis, we study the backward dynamics of cellular au- tomata. We present a novel representation of one-dimensional cellular automata, which can be used to charcterize all their garden of eden configurations. We demonstrate the usefulness of this method on examples. 1
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Acceleration of Particles Tracking on CBM Experiment
Roth, Michael ; Kolář, Martin (referee) ; Musil, Petr (advisor)
The focus of this work is to research various methods of particle track reconstruction in the CBM experiment, and the problem of hardware acceleration of these methods. The advantages and disadvantages of the extended methods were discussed and a reconstruction method based on cellular automata and Kalman filters was selected for further study. In particular, the thesis details the development of a simulation model suitable for generating test data to facilitate future implementation of the selected tracking algorithm. Two different particle simulators have been developed and will be used in the following work to calculate the prediction step of the extended Kalman filter and to test the quality of the implemented reconstruction method.
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Using Cellular Automata for Data Encryption
Dvořák, Martin ; Trunda, Otakar (advisor) ; Mráz, František (referee)
Cellular automata are discrete systems with very simple rules but very diverse behaviour. Some cellular automata can generate high-quality pseudorandom bit sequences. This leads us to the question of whether cellular automata could be used in cryptography, as a replacement for stream ciphers for instance. We will create and compare various methods for generating long one-time-pads from short keys, where our methods will utilize cellular automata. Besides direct design of cryptographical algorithms, we will also create an evolutionary algorithm, which will try to connect our building blocks in the best possible way. The outcome of our work will be a Windows desktop application for file encryption. Powered by TCPDF (www.tcpdf.org)
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Spatial modeling of brain tissue
John, Pavel ; Neruda, Roman (advisor) ; Brom, Cyril (referee)
Neural connections in the human brain are known to be modified by experiences. Yet, little is known about the mechanism of the modification and its implications on the brain function. The aim of this thesis is to investigate what impact the spatial properties of brain tissue can have on learning and memory. In particular, we focus on the dendritic plasticity. We present a model where the tissue is represented by a two-dimensional grid and its structure is characterized by various connections between the grid cells. We provide a formal definition of the model and we prove it to be computational as strong as the Turing machine. An adaptation algorithm proposed enables the model to reflect the environmental feedback, while evolutionary algorithms are employed to search for a satisfactory architecture of the model. Implementation is provided and several experiments are driven to demonstrate the key properties of the model. Powered by TCPDF (www.tcpdf.org)
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Mobile robot path planning by means of cellular automata
Holoubek, Tomáš ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
This thesis deals with a path planning using cellular automata algorithms in a rectangular grid environment. Theoretical part starts with an overview of commonly used approaches for path planning and later on focuses on existing cellular automata solutions and capabilities in detail. Implemented cellular automata algorithms and the commonly used path planning algorithms are together with a map generator described in the practical part. Conclusion of this thesis contains results completed in a special application.
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Complexity in Cellular Automata
Hudcová, Barbora ; Mikolov, Tomáš (advisor) ; Kupsa, Michal (referee)
In order to identify complex systems capable of modeling artificial life, we study the notion of complexity within a class of dynamical systems called cellu- lar automata. We present a novel classification of cellular automata dynamics, which helps us identify interesting behavior in large automaton spaces. We give a detailed comparison of our results to previous methods of dynamics classification. In the second part of the thesis, we study the backward dynamics of cellular au- tomata. We present a novel representation of one-dimensional cellular automata, which can be used to charcterize all their garden of eden configurations. We demonstrate the usefulness of this method on examples. 1
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