National Repository of Grey Literature 64 records found  previous11 - 20nextend  jump to record: Search took 0.01 seconds. 
Instruction-Controlled Cellular Automata
Bendl, Jaroslav ; Žaloudek, Luděk (referee) ; Bidlo, Michal (advisor)
The thesis focuses on a new concept of cellular automata control based on instructions. The instruction can be understood as a rule that checks the states of cells in pre-defined areas in the cellular neighbourhood. If a given condition is satisfied, the state of the central cell is changed according to the definition of the instruction. Because it's possible to perform more instructions in one computational step, their sequence can be understood as a form of a short program. This concept can be extended with simple operations applied to the instruction's prescription during interpretation of the instructions - an example of such operation can be row shift or column shift. An advantage of the instruction-based approach lies in the search space reduction. In comparison with the table-based approach, it isn't necessary to search all the possible configurations of the cellular neighbouhood, but only several areas determined by the instructions. While the groups of the inspected cells in the cellular neighbourhood are designed manually on the basis of the analysis of the solved task, their sequence in the chromosome is optimized by genetic algorithm. The capability of the proposed method of cellular automata control is studied on these benchmark tasks - majority, synchronization, self-organization and the design of combinational circuits.
Design of Computing Structures in Cellular Automata
Luža, Jindřich ; Drábek, Vladimír (referee) ; Bidlo, Michal (advisor)
The goal of this master thesis is to examine possibilities of realizing comptutational structures in cellular automata. The work describes the fundamental principles of cellular automata and summarizes some ways of how to achive the specified goal. An overview of Turing-complete and other specialized computational tasks is proposed considering both 1D and 2D cellular automata. It is shown that different computational scenarios in cellular automata can be considered with various setups of the input and output arrangements. With regard to showed inputs and outputs arrangement, sets of tests is designed to find solutions of choosen computational structures on cellular automata with use of choosen evolutionary algorithm. Found solutions are compared by computational resources consumption and difficulty of discovery later.
Graphics Intro 64kB Using OpenGL
Milet, Tomáš ; Kubíček, Radek (referee) ; Vlček, Adam (advisor)
This bachelor's thesis describes creating of graphics intro with limited size using OpenGL. It describes methods for generating graphical objects, such as textures and terrain. It deals with particle system and cellular automata.
Prediction of the Secondary Structure of Proteins by Cellular Automaton
Šalanda, Vojtěch ; Vogel, Ivan (referee) ; Bendl, Jaroslav (advisor)
This thesis presents a new approach to the prediction of the secondary structure of proteins. It employs a new method based on cellular automata and its characteristic properties. The main objective is to increase speed of the prediction even at the cost of slight decrease of overall accuracy. Optimal parameters of cellular automata was found by genetic algorithm using suitable genetic operators. These parameters are incorporated into developed application for prediction. Finally, the results was compared with results of other tools for this purpose.
An Implementation of CellMatrix in FPGA
Martinák, Jan ; Bidlo, Michal (referee) ; Sekanina, Lukáš (advisor)
Reconfigurable hardware architecture represents a modern trend in development of the new curcuits. Rising demands on such architecture lead in efforts to create curcuit, that is able to reconfigure itself in parallel and locally. One of such technologies is the Cell Matrix which is based on principles of cellular automata. The purpose of this thesis is to inform the reader about Cell Matrix architecture and to show its advantages, functions and potentialities by implementation in FPGA on FITkit development kit.
Self-Replication in Cellular Automata
Mikeš, Martin ; Bidlo, Michal (referee) ; Žaloudek, Luděk (advisor)
This thesis introduces cellular automata as an environment suitable for simulating complex and massively parallel systems, built from a large number of simple cooperating units. The thesis explores self-replication and self-replicating loops - structures operating within the cellular space, particularly those capable of carrying out useful tasks. The thesis provides a description of implementation of three such loops, executing following tasks: coloring of the space within a loop, construction of letters "MM" and binary addition. A practical usability is discussed at the end.
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.
Artificial life
Weigl, František ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
This bachelor thesis deals with the issue of artificial life. The first part provides a brief overview of the history of artificial life and the current division of artificial life. The second part describes some important software models of artificial life. The last part of the work contains simple experiments with a cellular automaton.
A Nanocomputer Simulator Using Cellular Automaton
Kmeť, Dušan ; Bidlo, Michal (referee) ; Sekanina, Lukáš (advisor)
This master thesis deals with the realization of a simulator based on asynchronous cellular automata simulating delay insensitive circuits. In connection with nanotechnology, cellular automata have several interesting properties, such as self-replication, regular structure and high parallelism that make them very useful as models for some types of nanocomputers. This text describes the relationship between cellular automata and nanotechnology. Emphasis is given to the possibility of using asynchronous timing mode. Asynchronous cellular arrays based on asynchronous cellular automata could prove to be a suitable architecture for future nanocomputer, which was the reason for implementation of this simulator. The simulator's functionality was verified by experiments.
Modified Genetic Algorithms for Cellular Automata Design
Magdolen, Matej ; Vašíček, Zdeněk (referee) ; Bidlo, Michal (advisor)
This bachelor’s thesis aims to examine possibilities of designing a transition function enabling a cellular automaton to solve a given problem using a genetic algorithm. It contains an introduction to cellular automata, evolution algorithms and conditionally matching rules, a method of descripting a transition function suitable for evolutionary development. A set of experiments is conducted using the standard version of genetic algorithms to determine its optimal configuration. Additionally, modifications of this standard algorithm are proposed, effect of which on the algorithm’s performance is then evaluated by further experiments.

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