National Repository of Grey Literature 121 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Diagnostic tool for SD card protocol
Frnka, Peter ; Macho, Tomáš (referee) ; Petyovský, Petr (advisor)
The objective of this diploma thesis is to design and implement a diagnostic tool for communication protocol of SD memory cards. The diagnostic tool will be able to monitor and interfere with communication of an SD memory card. The hardware implementation will be based on platform with Kinetis K66 microcontroller. A PC application designed for windows is also a part of diagnostic tool. There is a conclusion of the diagnostic tool limitation at the end of the thesis.
Expansion peripherals for MC9S08LH microcontrollers
Nideev, Adan ; Petyovský, Petr (referee) ; Macho, Tomáš (advisor)
The aim of this bachelor’s thesis is to get acquainted with microcontroller MC9S08LH64 and development board TWR-S08LH64. The thesis is also focused on connecting of external peripherals such as rotary encoder, matrix keyboard, LCD display and real-time clock to development board TWR-S08LH64.
Small CNC cutting machine
Golej, Juraj ; Macho, Tomáš (referee) ; Petyovský, Petr (advisor)
This bachelor thesis deals with design and realization of a large format 2D CNC machine for cutting thin soft materials, especially the cardboard. In the first chapter I describe the available solutions on the market, their properties and parameters, including the tools. In the second chapter I create a design of the mechanical construction. The emphasis is on a simple modular structure using V-slot aluminum profiles. The third chapter describes the design of control electronics, where the main role has stepper motor driver with chip TB6600HG and microcontroller ARM Cortex-M7 from Microchip, where the main program is running. The final device can read data from SD card and perform an automatic cutting process without complicated user operations.
Traffic assistant system for complicated situations
Podola, David ; Janáková, Ilona (referee) ; Petyovský, Petr (advisor)
T-intersections are one of the most common places where collisions happen. An intelligent traffic mirror is one the possible solutions to reduce the accident rate. The mirror detects the situation around the intersection, process the data and provides the driver with an information, whether the situation is safe and the driver can enter the junction safely. The aim of the thesis is a feasibility study of reliable detection of non-stationary objects based on cameras. The core of the intended product – the detection algorithm – detected the object on short distance from the camera reliably but as the distance was growing, the detection quality degraded. One of the possible solutions to achieve better detection results on longer distances may be achieved by using a camera with greater zoom. Based on the example improvement proposal, the feasibility of the solution based on optical methods was finally confirmed.
System for data acquire with Raspberry Pi
Ciprys, Michal ; Petyovský, Petr (referee) ; Macho, Tomáš (advisor)
This work deals with the collection of data from analog sensors, their storage and display using the Raspberry Pi microcomputer. In more detail it deals with selecting the appropriate analog-to-digital converter, selecting the appropriate storage and database server, web server and application to display the measured data.
A SoC based EtherCAT protocol implementation
Procháska, František ; Petyovský, Petr (referee) ; Valach, Soběslav (advisor)
This thesis focuses on implementation of EtherCAT master application for Zybo development board with Zynq-7000 SoC.
A convolutional neural network for image segmentation
Mitrenga, Michal ; Petyovský, Petr (referee) ; Jirsík, Václav (advisor)
The aim of the bachelor thesis is to learn more about the problem of convolutional neural networks and to realize image segmentation. This theme includes the field of computer vision, which is used in systems of artificial intelligence. Special Attention is paid to the image segmentation process. Furthermore, the thesis deals with the basic principles of artificial neural networks, the structure of convolutional neural networks and especially with the description of individual semantic segmentation architectures. The chosen SegNet architecture is used in a practical application along with a pre-learned network. Part of the work is a database of CamVid images, which is used for training. For testing, a custom image database is created. Practical part is focused on CNN training and searching for unsuitable parameters for network learning using SW Matlab.
Digital device for supervising and evaluating outdoor activities
Pecen, Vojtěch ; Macho, Tomáš (referee) ; Petyovský, Petr (advisor)
This project deals with development of portable electronic device which brings new opportunities to leisure activities and their evaluating. At first, analysis of devices available on market and their acquisitions is made, then tips and ideas of new activities, which would be played with digital devices, summation of features, that the device would do, choosing adequate components, their assembly, configuration and programming. After it, domonstration of the device is described and this document is summarized.
Road detection using data from mobile robot camera
Peška, Jaroslav ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
Bachelor thesis deals with the problem of road detection by mobile robots using data obtained from its camera. First, current solutions are researched and considered for use in the proposed algorithm. Afterwards we define limit parameters of the entire solution. An automatic process using human-created reference was then devised to programatically determine the accuracy of individual versions of proposed solutions. First, an initial version of the solution was implemented, which was subsequently optimized and accelerated using GPGPU. Lastly, proposed algorithm is evaluated and possible future changes are outlined.
Automatic music transcription
Matoušek, Vojtěch ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
This article deals with the automatic music transcription into the music notation by Fourier transform with logarithmic scale and constant Q transform. The result of this work is application, which converts the music records, in the WAVE music le, into the MIDI le. Then MIDI le can convert into the music notation by appropriate tool. Algorithm for automatic music transcription can converts polyphonic music record, where plays more tones at one time, with simple rhythm.

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