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Data processing from the online diagnostic system
Cirhanová, Iva ; Jankových, Róbert (referee) ; Zuth, Daniel (advisor)
This master thesis deals with data processing from an online diagnostic system. The theoretical part of the work is divided into three chapters, the first deals with technical diagnostics as such, there are basic terminology and concepts associated with technical diagnostics, such as diagnostic methods, tools, models and signals. The second part is focused on diagnostic systems and their division. This chapter also provides some examples of online diagnostic monitoring systems from three different companies. The last chapter of the theoretical part is devoted to the description of the possibilities of data collection from diagnostic systems, ie. description of communication buses and protocols. The practical part of this work focuses on creating an application for data collection and visualization.
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Classification of wear relevant duty cycles of turbocharger validation
Kovaříková, Lucie ; Žatko, Miroslav (referee) ; Lošák, Petr (advisor)
Tato bakalářská práce se zabývá shromážděním dat z testů pracovního cyklu motoru, jejich kontrolou a určením kritérií třídění. Dále pak návrhem a vyhodnocením metodiky charakterizace cyklů zatížení, zaměřených na očekávané výsledné opotřebení kinematických komponent turbodmychadla. Vyhodnocení a kontrola dat jsou provedeny pomocí dvou nástrojů - Python a Matlab. Výstupem této práce jsou dvě navržené metodiky zpracování pracovních cyklů na základě zpracovaných dat - obecné zpracování dat pracovního cyklu a analýza pracovního cyklu, včetně polohy aktuátoru.
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Object detection in video using neural networks and Android application
Mikulec, Vojtěch ; Kiac, Martin (referee) ; Myška, Vojtěch (advisor)
This master’s thesis deals with the implementation of functional solution for classifying road users using mobile device with Android operating system. The goal is to create Android application which classifies vehicles in real time using rear-facing camera and saves timestamps of classification. Testing is performed mostly with own, diversely modificated dataset. Five models are trained and their performance is measured in dependence on hardware. The best classification performance is from pretrained MobileNet model where transfer learning with 6 classes of own dataset is used – 62,33 %. The results are summarized and a method for faster and more accurate traffic analysis is proposed.
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Vizualizační a prototypovací modul pro HOPES SDK
Vychodil, Vojtěch
Vychodil, V. Visualsation and prototyping module for HOPES SDK. Diploma thesis. Brno: Mendel University, 2018. The diploma thesis deals with the problems connected with the creation of the graphical visualisation software for an easy prototyping and presentation of rele-vant data in the production phase of the development for the avionics industry. The theoretical part of the work involves the analysis of the given topic from the computer graphics, as well as available and used technologies points of view. The practical part consists of the overview of the obtained results. Furthermore, it includes the software application represented by the stand-alone module, which is a part of the integrated and unified modular component architecture, which puts all the services provided by HOPES SDK under the one common roof.
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Map machine recognition and optimal path planning
Peška, Jaroslav ; Ligocki, Adam (referee) ; Chromý, Adam (advisor)
This masters thesis continues in the work of two previous theses dealing with machine understanding of maps and modelling terrain. The final program also has to be able to interpret position data from dataloggers and integrate it with the loaded map. The goal for the program is to serve during training of Czech orienteering runners. Position measurement and storage is researched first. Also researched are map markers used to define the terrain. Afterwards, past approaches are evaluated, including identification of most severe issues hindering the usage in real world applications. Many improvements are proposed, for example methods to remove noise in the input data, or to improve processing speed. Lastly, a set of possible improvements to the original applications are made, i.e. methods for denoising the input data or for speedup of the image processing. Proposed improvements are then implemented, the most impactful being processing speed and contour segmentation improvements.
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Data processing from measurement on machine tools
Pokorný, Zdeněk ; Vetiška, Jan (referee) ; Holub, Michal (advisor)
The Master’s thesis deals with the precision of machine tools, especially with the three-axis vertical milling machine. It is structurally divided into a theoretical and practical part. While the theoretical part focuses on problems of geometric errors and measuring devices, the practical one is devoted to the machine tool being tested. In this case, the data processing and the proposed statistical analysis are essential, and at the end of the thesis another possible way of developing the data processing is outlined.
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Data Processing in a Generic Benchmarking Environment
Mácha, Radek ; Podzimek, Andrej (advisor) ; Bulej, Lubomír (referee)
Title: Data Processing in a Generic Benchmarking Environment Author: Radek Mácha Department: Department of Distributed and Dependable Systems Supervisor: RNDr. Andrej Podzimek, Department of Distributed and Dependable Systems Abstract: In September 2013, at the Charles University in Prague, Faculty of Mathematics and Physics, a software project implementing the third incarnation of a generic bench- marking environment aimed at performance evaluation of networked applications was presented: EverBEEN. Despite significant advancements achieved by this incarnation in both reliability and ease of use, EverBEEN still came out somewhat wanting in terms of commercial usability. One of its major shortcomings was the absence of a standardized way of data extraction and processing. The want of such means in EverBEEN laid foundation to the central question of this thesis: How to extract and process data from a framework like EverBEEN, with no prior knowledge of the structure of said data? Albeit centered on the creation of a common, reusable data extraction and aggregation codebase for said framework, this thesis also strives to analyze means of automating EverBEEN control-flow and incorporating the framework, and its data processing, into continuous integration. Keywords: performance evaluation, data processing,...
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Possibilities of Electrochemical Analysis Using a System of Electrodes With Non-Specific Response
Ederer, Jakub ; Nesměrák, Karel (advisor) ; Ludvík, Jiří (referee)
The master thesis present the possibilities of processing of electrochemical data from a group of four electrodes with non-selective response (simple sensor array) for electrochemical analysis with potential application of the results achieved in the construction of the sensor field type "electronic tongue". This simple system was applied to the sample simulating the food product. Electrochemical data were processed through mathematical operations such as Gaussian approximation, deconvolution or using basic mathematical operations.
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