National Repository of Grey Literature 132 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Optimizing the line-up of a sports team in a sallary capped league
Sabo, Adam ; Popela, Pavel (referee) ; Hrabec, Pavel (advisor)
This thesis is focused on the optimization of the lineup of a professional sports team operating under a salary cap condition. In the first part of the thesis, the theoretical foundations necessary for a proper understanding of the issue are introduced. Further, mathematical statistics and optimization methods are explained here and used in data analysis and in the creation of the relevant model. Particular emphasis is put on the methods of principal component analysis and linear programming. In the second part of the thesis, the problem of the optimization task, which takes into account the relevant NHL rules of competition and the salary cap together with performance characteristics of players, is formulated. The formulation was used to develop an optimization model that simulates real conditions in the NHL. This section also presents the application of the model based on historical data. Results obtained from calculations using the Python programming language are presented in the form of graphs, tables, and commentaries, showcasing the optimal team lineups, their characteristics, and respective rankings.
Rating Log Events using Reputation and Anomaly Scores
Zbořil, Jan ; Burgetová, Ivana (referee) ; Matoušek, Petr (advisor)
Pro administrátory, bezpečnostní inženýry a síťové experty je nemožné sledovat současné množství dat proudící v počítačových sítích. Komplexní systémy jako IDS nebo IPS jsou navrženy tak, aby kromě své primární funkce také ukládaly síťový provoz. Cílem této práce je automaticky redukovat počet záznamů v lozích generovaných těmito systémy tak, aby obsahovaly pouze nejdůležitější informace. Anomální a reputační skóre představují metriky pro rozhodování tohoto problému - zda je záznam v logu důležitý či nikoliv. Cílem práce je prozkoumat současný stav metod běžně používaných pro tyto účely a navrhnout řešení, jak využít data síťových analyzátorů, jako je Suricata, k detekci anomálií v provozu a ohodnocení reputace síťových uzlů. Je vyvinuto kompletní řešení od zpracování dat, výpočtu skóre, redukce velikosti logů výběrem důležitých záznamů, a interpretace výsledků. Řešení je demonstrováno na reálných datech. Jsou diskutovány možnosti využití výsledků a použitých metod, jejich možné vylepšení a možné rozšíření v budoucích pracech.
Vibration measurement processing for predictive maintenance of mechanical systems
Kuchař, Matěj ; Dobossy, Barnabás (referee) ; Kšica, Filip (advisor)
As technology evolves, so does maintenance. In recent years, predictive maintenance has developed the most and is increasingly used. In the case of vibrations in particular, this type of maintenance brings better results than the types of maintenance previously used. Compared to other types of maintenance, predictive maintenance is more difficult to implement. When implementing it is necessary to follow its procedure: data pre-processing, feature extraction, determination of the health indicator, training of the predictive model, and evaluation.There are many software programs that provide features for predictive maintenance. In this thesis, the Predictive Maintenance Toolbox from the Matlab was used. Subsequently, the knowledge of the implementation of predictive maintenance was applied to the experimental data obtained by measuring bearing vibrations to predict RUL.
Methods for respiration estimates from ECG signal
Mitrengová, Jana ; Mézl, Martin (referee) ; Králík, Martin (advisor)
The thesis deals with the realization of methods for estimation of the respiratory curve from the ECG signal. The first part of the thesis deals with the anatomy and physiology of the respiratory and cardiovascular system. In this part of the thesis are also described ways of the breathing monitoring. The second part of the thesis is dedicated to the description of individual methods for the ECG derived respiration. The third part deals with the realization of selected methods, application of method algorithms on real data and comparison of resulting respiratory curves with the respiratory signals available from the PhysioNet database. In conclusion, the individual methods are compared with each other.
Separation of dynamic and static structures in a videosequence
Serediuk, Vadym ; Pavlík, Jan (referee) ; Rajmic, Pavel (advisor)
The aim of this bachelor thesis is the description and implementation of methods for the separation of low-rank and sparse structures in image sequence, mainly focusing on methods based on convex optimization. The beginning of the work is devoted to the description of basic mathematical concepts and definitions used in the work. The next comes the description of general case of background-foreground separation in video, followed by a brief overview of existing approaches based on various mathematical models. Then, methods based on matrix decomposition are described in more detail, a convex minimization task for background separation is defined. This is followed by a practical part, where the used methods are first described and then implemented in MATLAB scripts. At the end, the analysis and comparison of the results (obtained both using own scripts and external library) is performed.
QRS complex detection in multilead ECG signals
Šlancar, Matěj ; Smital, Lukáš (referee) ; Kozumplík, Jiří (advisor)
The aim of this thesis is to introduce the principles of software QRS detection, which is based on different combinations of orthogonal (pseudoorthogonal) leads. The thesis describes the main components of the ECG signal, a selection of methods that can be used for QRS detection in orthogonal leads and finally the evaluation of the effectiveness of the chosen methods and a comparing the approaches with the results of other authors. Functionality of detection algorithm has been tested on signals of CSE standard library.
Multispectral Image Processing
Li, You ; Juránek, Roman (referee) ; Zemčík, Pavel (advisor)
S rychlým rozvojem technologie multispektrálního zobrazování v posledních desetiletích obrázky získané zobrazovacími systémy obsahují nejen barevná pásma RGB v každodenním životě, ale také mají multispektrální barevná pásma a vysoké prostorové rozlišení v multispektrálních obrazových datech. Díky tomu obrázky obsahují bohaté informace o charakteristických cílových oblastech. Fúze obrazu je také důležitou větví v oblasti zpracování obrazu, kde je více obrázků ze stejné oblasti ve stejné výšce sloučeno do jednoho obrazu. Poté se zlepší korelace mezi spektrálními informacemi multispektrálních obrazů. Aby se informace na obrázku neztratily. Tato práce obsahuje popis návrhu a implementace multispektrálního obrazového systému, předzpracování multispektrálních obrazů, fúzi multispektrálních obrazů a analýzu hlavních komponent. Nakonec je představeno hodnocení celého systému.
Human body detection in a video scene
Šmirg, Ondřej ; Číka, Petr (referee) ; Kohoutek, Michal (advisor)
The project consists of two distinct levels i.e. separation level and diagnostic level. At the separation level, statistical models of gaussians and color are separately used to classify each pixel as belonging to backgroung or foreground. Adopted method is mixture of gaussians.A mixture of gaussians model is suitable here because the results of the picture tests will not depend on the lens opening, but rather on the colors in the backgroung. A mixture of gaussians model for return data seems reasonable. The achieved results the used method on the real sequences are presented in the thesis. Diagnostic level is identified human body on the scene. Adopted method is ASM(Active Shape Models) with PCA(Principal Component Analysis). ASM are statistical models of the shape of human bodies which iteratively deform to fit to an example of the object in a new image.
Analysing Tool for Generating of Drum Triggers from Downmix Record
Konzal, Jan ; Mucha, Ján (referee) ; Přikryl, Lubor (advisor)
This thesis deals with the design and implementation of a tool for generating drums triggers from a downmix record. The work describes the preprocessing of the input audio signal and methods for the classification of strokes. The drum classification is based on the similarity of the signals in the frequency domain. Principal component analysis (PCA) was used to reduce the number of dimensions and to find the characteristic properties of the input data. The method support vector machine (SVM) was used to classify the data into individual classes representing parts of the drum kit. The software was programmed in Matlab. The classification model was trained on a set of 728 drum samples for seven categories (kick, snare, hi-hat, crash, ride, kick + hi-hat, snare + hi-hat). The success of the system in the classification is 75 %.
Signals recovery from two incomplete crossfaded signals
Juren, Vojtěch ; Záviška, Pavel (referee) ; Mangová, Marie (advisor)
This bachelor thesis deals with restoration of two signals from their cross-fade in limited section and restoration of two signals from their cross-fade in limited section containing noise. Everything is practically verified and performed with help of Matlab software.

National Repository of Grey Literature : 132 records found   1 - 10nextend  jump to record:
Interested in being notified about new results for this query?
Subscribe to the RSS feed.