National Repository of Grey Literature 290 records found  beginprevious154 - 163nextend  jump to record: Search took 0.00 seconds. 
Innovation of the laboratory exercises for course Embedded Systems
Pončák, Matej ; Macho, Tomáš (referee) ; Petyovský, Petr (advisor)
The constant market development of the embedded systems requires an adaptation to this fact. Raspberry Pi has released the Raspberry Pi Pico development board with a 32-bit microcontroller ARM Cortex-M0+, which has the potential to use the board as an innovation in teaching embedded systems. The thesis describes this board and its properties, the course Embedded Systems and the possibilities of its innovation, and then describes the proposed HW platform and demonstrates. The creation of new laboratory assignments is also part of this thesis.
Unary Classification of Image Data
Beneš, Jiří ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
The work deals with an introduction to classification algorithms. It then divides classifiers into unary, binary and multi-class and describes the different types of classifiers. The work compares individual classifiers and their areas of use. For unary classifiers, practical examples and a list of used architectures are given in the work. The work contains a chapter focused on the comparison of the effects of hyperparameters on the quality of unary classification for individual architectures. Part of the submission is a practical example of implementation of the unary classifier.
Product filtering personalization via knowledge systems for e-shops
Korčák, Aleš ; Petyovský, Petr (referee) ; Jirsík, Václav (advisor)
The bachelor's thesis deals with the concept and implementation of an application for personalizing product filtering, a web module that allows the answering of questions and the concept and implementation of a knowledge base that sets the parameters of the filter.
Detection of cellular processes in image sequences
Hatrinh, Hung Anh ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
Překlad abstraktu (Tato bakalářská práce se zabývá segmentací buněk od obrazového pozadí a detekcí buněčných procesů v kvantitativních fázových obrazech získaných koherencí řízeným holografickým mikroskopem. Navržený algoritmus na segmentaci buněk využívá hranového detektoru watershedingu. Implemtován byl v programovacím jazyce C++ a využívá knihovny OpenCV. Detekce buněčných procesů je řešena metodami strojového učení v MATLABu.)
Realization of educational multichannel sound generator
Homzová, Eliška ; Valach, Soběslav (referee) ; Petyovský, Petr (advisor)
The main goal of this bachelor thesis is an implementation of an educational multichannel sound circuit, which will be used as a laboratory exercise in the course called "Logical circuits and systems". This paper includes an overview of principles of multichannel sound generation, selection of a suitable architecture of programmable sound generator and its implementation into the FPGA. Part of the work is also a design of communication between development boards and PC.
Image analysis of object surface texture
Klimeš, Jiří ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
This master thesis deals with design and implementation of algorithms for image analysis of object surface texture for the purpose of automating the surface grinding process. In the first part of this thesis, a search was performed in the field of image analysis of object surface texture. The proposed descriptors were tested on the created annotated database of texture images. Subsequently, a scene for image acquisition of the machined object was designed and assembled, and the grinding process was automated based on the results of the previous analysis. The implementation and achieved results were evaluated and other possible improvements were proposed.
Text document plagiarism detector
Kořínek, Lukáš ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
This diploma thesis is concerned with research on available methods of plagiarism detection and then with design and implementation of such detector. Primary aim is to detect plagiarism within academic works or theses issued at BUT. The detector uses sophisticated preprocessing algorithms to store documents in its own corpus (document database). Implemented comparison algorithms are designed for parallel execution on graphical processing units and they compare a single subject document against all other documents within the corpus in the shortest time possible, enabling near real-time detection while maintaining acceptable quality of output.
Unary Classification of Image Data
Beneš, Jiří ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
The work deals with an introduction to classification algorithms. It then divides classifiers into unary, binary and multi-class and describes the different types of classifiers. The work compares individual classifiers and their areas of use. For unary classifiers, practical examples and a list of used architectures are given in the work. The work contains a chapter focused on the comparison of the effects of hyper parameters on the quality of unary classification for individual architectures. Part of the submission is a practical example of reimplementation of the unary classifier.
Retargeting of the C language compiler
Pončák, Matej ; Macho, Tomáš (referee) ; Petyovský, Petr (advisor)
In order to program a target architecture in one of the high-level programming languages, the compiler must support that architecture. The thesis describes the structure of SDCC and LLVM compilers and the procedure of retargeting these compilers. The SDCC compiler is widespread among programmers for its simplicity and the LLVM compiler for its great reusability. Finally, this procedure is implemented for the HCS08 series microprocessor in the LLVM compiler.
Automated sprinkler system for houseplants
Makedonenko, Oleksandr ; Macho, Tomáš (referee) ; Petyovský, Petr (advisor)
Hlavním cílem této práce je navrhnout, implementovat a demonstrovat inteligentní systém, který využívá mikroprocesor pro zvýšení efektivity a funkčnosti. Jako příklad bude v této práci navržený systém zalevani rostlin, který bude schopen automaticky upravit úroveň vlhkosti půdy na základě zpětnovazebního senzoru. Informace z každého květináče a sledování dalších parametrů půdy a vzduchu budou uloženy do trvalé paměti pro další vizualizaci.

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