National Repository of Grey Literature 90 records found  beginprevious71 - 80next  jump to record: Search took 0.01 seconds. 
A Tool for Visual Analysis of Circuit Evolution
Staurovská, Jana ; Minařík, Miloš (referee) ; Sekanina, Lukáš (advisor)
The main goal of the master's thesis is to compose a study on cartesian genetic programming with focus on evolution of circuits and to design a concept for visualisation of this evolution. Another goal is to create a program to visualise the circuit evolution in cartesian genetic programming, its generations and chromosomes. The program is capable of visualising the changes between generations and chromosomes and comparing more chromosomes at once. Several user cases had been prepared for the resulting program.
Microscopic Traffic Simulation Model Calibration
Pokorný, Pavel ; Minařík, Miloš (referee) ; Korček, Pavol (advisor)
This thesis main focus is microscopic traffic sumulation. Part of this work is the design and implementation of microsimulation model based on cellular automaton. Implemented model supports calibration with genetic algorithm. The results of calibration and simulations are included.
FPGA Platform with .NET Micro Framework Support
Matyáš, Jan ; Minařík, Miloš (referee) ; Vašíček, Zdeněk (advisor)
The goal of the thesis is to design a development board that may be used for embedded systems prototyping. The board's key parts are an ARM-Cortex-based microcontroller and a FPGA programmable circuit. The platform is designed with .NET Micro Framework support in mind. The thesis contains specifications of the development board, describes the design process as well as the task of .NET Micro Framework porting and the establishment of communication bus between the FPGA and microcontroller circuits. The thesis is concluded by a set of demonstration examples which outline how to develop new applications for the designed platform.
Autonomous Electronic Circuits Simulation Method
Minárik, Michal ; Konvalina, Jiří (referee) ; Kunovský, Jiří (advisor)
This work deals with a methodology of description of linear electrical circuits through the use of differential equations and autonomical method. It compares commom numerical methods with Taylor series method implemented in TKSL. It's focused on analysis of applicability of autonomical method to various circuits, complexity of circuit diagram transformation to system of equations and transcription to TKSL.
Investigation of Sokoban Game Using Genetic Algorithms
Nezvalová, Leona ; Vašíček, Zdeněk (referee) ; Minařík, Miloš (advisor)
This work proposes an automatic Sokoban solver based on genetic algorithms. Emphasis is placed on the chromosome representation, that helps to deal with main problems related to automatic solving - size of a state space and presence of deadlocks. These problems are also addressed by specialized crossover operation and fitness function. The secondary objective is to optimize the solution using the optimization function and evolution itself.
Creating Timetables Using Genetic Algorithms
Horký, Aleš ; Matoušek, Jiří (referee) ; Minařík, Miloš (advisor)
This bachelor thesis contains design and implementation of two-phase genetic algorithm intended for creating timetable schedules at primary schools. The algorithm is designed for maximum reduction of state space of solved problem without decrease of its universality. The implementated program in C++ language is applicable for creating timetable schedules at small and medium sized schools.
Using Softcomputing Techniques for User Behavior Prediction and Analysis
Šimon, Jakub ; Sopuch, Zbyněk (referee) ; Minařík, Miloš (advisor)
This Bachelor's thesis studies the possibilities of employee's behavior prediction and analysis. It uses softcomputing techniques, two types of neural networks - Multi-layer feedforward neural network with the Backpropagation algorithm, and Kohonen selforganizing map. The experiments performed on real activity records of employees are included. Part of the thesis is focused on activity records data and their characteristics. As a conclusion some basic information about the pros and cons of neural networks' use in the field of employee behavior prediction and analysis is given.
Platform for Safe File Transfer among Mobile Devices
Pustka, Michal ; Kešner, Filip (referee) ; Minařík, Miloš (advisor)
The thesis deals with safe files transfer among mobile devices .  The first part of this thesis is the analysis and review of current   solutions for transferring files among mobile devices and complex   security solutions for Android operating system. The second part  describes the design and evaluation of several concepts for encrypted files transfer among groups of regular users and outside the company or institution . One of the concepts for file transfer among users   was chosen for implementation on the Android platform . The last part  of the thesis describes the problems that can occur during   the implementation , their solution , and finally the verification  and validation of the concept itself .
Structural Methods of Objects Identification for Industrial Robot Operation
Minařík, Martin ; Šlapal, Josef (referee) ; Konečný, Vladimír (referee) ; Šťastný, Jiří (advisor)
This PhD thesis deals with the use of structural methods of objects identification for industrial robots operation. First, the present state of knowledge in the field is described, i.e. the whole process of objects recognition with the aid of common methods of the syntactic analysis. The main disadvantage of these methods is that is impossible to recognize objects whose digitalized image is corrupted in some ways (due to excessive noise or image disturbances), objects are therefore deformed. Further, other methods for the recognition of deformed objects are described. These methods use structural description of objects for object recognition, i.e. methods which determine the distance between attribute descriptions of images. The core part of this PhD thesis begins in Chapter 5, where deformation grammars, capable of description of all possible object deformations, are described. The only complication in the analysis is the ambiguity of the deformation grammar, which lowers the effectiveness of the analysis. Further, PhD thesis deals with the selection and modification of a proper parser, which is able to analyze a deformation grammar effectively. Three parsers are described: the modified Earley parser, the modified Tomita parser and the modified hybrid LRE(k) parser. As for the modified Earley’s parser, ways of its effective implementation are described. One of the necessary parts of the object recognition is providing the invariances, which this PhD thesis covers in detail, too. Finally, the results of described algorithms are mentioned (successfulness and speed of deformed objects recognition) and suggested testing environment and implemented algorithms are described. In conclusion, all determined possibilities of deformation grammars and their results are summarized.
Reprap, 3D FDM printer
Minařík, Miroslav ; Madaj, Martin (referee) ; Zemčík, Oskar (advisor)
The essence of this bachelor’s thesis is describe RepRap, 3D FDM printer. First, the work is focused on presentation some posibilities of rapid prototyping and explain basic mechanics of FDM technology. In the second part, several types of RepRap printers are described and use 3D printer in practice.

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