National Repository of Grey Literature 113 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Automatic Chord Recognition Using Deep Neural Networks
Nodžák, Petr ; Bidlo, Michal (referee) ; Vašíček, Zdeněk (advisor)
This work deals with automatic chord recognition using neural networks. The problem was separated into two subproblems. The first subproblem aims to experimental finding of most suitable solution for a acoustic model and the second one aims to experimental finding of most suitable solution for a language model. The problem was solved by iterative method. First a suboptimal solution of the first subproblem was found and then the second one. A total of 19 acoustic and 12 language models were made. Ten training datasets was created for acoustic models and three for language models. In total, over 200 models were trained. The best results were achieved on acoustic models represented by convolutional networks together with language models represented by recurent networks with LSTM modules.
Application of Approximate Computing in Image Processing
Hruda, Petr ; Vašíček, Zdeněk (referee) ; Bidlo, Michal (advisor)
This master thesis focuses on approximate computing applied to image processing. Specifically, the approximation is applied to adaptive thresholding. Two approaches were used, the design of a new system using approximated components and the approximation of an existing algorithm. The resulting effect on thresholding quality was investigated. Experimental evaluation of the first approach shows quality improvements of thresholding with usage of aproximated components. Also, area of found aproximated solutions is smaller. Evaluation of the second approach shows worse quality of thresholding with usage of aproximated components. The second approach is then declared inappropriate.
Application of Evolutionary Algorithms in Quantum Computing
Žufan, Petr ; Mrázek, Vojtěch (referee) ; Bidlo, Michal (advisor)
In this thesis, an evolutionary system for searching quantum operators in the form of unitary matrices is implemented. The aim is to propose several representations of candidate solutions and settings of the evolutionary algorithm. Two evolutionary algorithms were applied: the genetic algorithm and evolutionary strategy. Furthermore, a method of generating a unitary matrix is presented which is used for the first time for this task. This method is in some aspects better than the previous ones. Finally, a comparison of all used techniques is shown in experiments.
Optimizations Methods for Freight Transportation
Gabonay, Michal ; Vašíček, Zdeněk (referee) ; Bidlo, Michal (advisor)
The following work concerns the study of the evolutionary algorithm, which optimizes freight transport planning. The demand for freight transport is constantly increasing nowadays and with creating, implementing and using proper route planning we are able to significantly reduce transportation costs. However, it is preferably to implement it in companies with large numbers of served customers and with a sufficiently large fleet of vehicles.   The study starts by defining what fright transport planning problem is and by characterizing its existing specifications and variants. My work proceeds to give a background of the possible solutions to the multifaceted aspects of the problem. The specific subproblem I choose to focus on is the Vehicle routing problem with Pickup and Delivery for which I apply the optimization solution. In the main body of my thesis, I will elaborate on the chosen optimization solution which encompasses the genetic algorithm and evolutionary strategy. The aim of the study is to measure the suitability of the algorithms and techniques used, for which reason the final part of my work will deal with the analysis and evaluation of the experiments.
Evolutionary Design of Ultrasound Treatment Plans
Chlebík, Jakub ; Bidlo, Michal (referee) ; Jaroš, Jiří (advisor)
The thesis studies selected evolution systems to use in planning of high intensity focused ultrasound surgeries. Considered algorithms are statistically analyzed and compared by appropriate criteria to find the one that adds the most value to the potential real world medical problems.
Ant Colony Optimization for Image Processing
Prášek, Matěj ; Jaroš, Jiří (referee) ; Bidlo, Michal (advisor)
This bachelor thesis is focused to edge detection using the Ant Colony Optimization algorithm. I focus on noise reduction, searching for isolated edges and finding optimal parameters for the majority of pictures.
Autonomous Model-Car Driving
Stojan, Radomír ; Strnadel, Josef (referee) ; Bidlo, Michal (advisor)
This thesis focuses on the topic of creating autonomous parking systems . Based on the analysis of existing studies , a parking algorithm is presented for a vehicle model NXP Cup Alamak . This model was retrofitted with sensors in order to accurately measure vehicle speed and distance to surrounding obstacles . The proposed algorithm allows the vehicle model to autonomously detect and analyse available parking spaces , determine how to park in these parking spaces and to perform the parking maneuver if the dimensions of the parking space allow it .
The FITkit3 Tester
Stehlík, Petr ; Strnadel, Josef (referee) ; Bidlo, Michal (advisor)
This work solves the problem of testing a certain set of ARM Kinetis Cortex-M4 \newline (MK60DN512ZVMD10) microcontroller modules on the FITkit3 learning platform (also known as Minerva). Specifically, it deals with the design of test firmware in the C programming language for automated testing, the design of a hardware module for testing platform input/output interfaces using the MCP23S17 integrated circuit and the design of a software with text-based user interface in Python3 for the testing control from a PC. The selected test set of modules are Periodic interrupt timers (PIT), Low-power timer (LPTMR) and Real time clock (RTC), further modules for serial data transmission via UART and SPI interfaces, speaker and GPIO ports. The created solution provides a comprehensive tool for analysing the functionality of frequently used modules on FITkit3, which automates the analysis process almost completely. The main benefit of this work is the facilitation of testing and a rapid detection of errors in a large number of kits.
Access System Controller Supporting More Types of Identification
Havlíček, Lukáš ; Bidlo, Michal (referee) ; Vašíček, Zdeněk (advisor)
This thesis deals with design and implementation of access system control unit supporting more types of identification. Designed system supports identification using access cards MIFARE and detection of Bluetooth Low Energy devices. Device is realised using the ESP32 development board. The display of passage history and system configuration is solved using a web interface, which is provided by a web server running on this device.
Smart Home Security System
Dragúň, Peter ; Bidlo, Michal (referee) ; Vašíček, Zdeněk (advisor)
This thesis deals with the security of flats and houses using Bluetooth Low Energy (BLE) technology. The aim of the thesis is to develop an electronic security system for access and intrusion control exploiting the possibilities of Bluetooth Low Energy technology for improved user experience. The thesis describes security systems, BLE technology and ESP32 microcontroller. The creation of a mobile application that is used to set up the system and its management is included, as well. The thesis also describes the design, construction of a prototype and its implementation. The last part is the verification of functionality, testing and suggestions of possibilities for further improvement of the created prototype.

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