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Synthesis of the musical audio signal using direct generation of harmonics
Ježek, Štěpán ; Mekyska, Jiří (referee) ; Přikryl, Lubor (advisor)
This thesis is focused on musical sound synthesis, in particular, the method of additive synthesis. The main goal is to implement a software musical instrument in the VST3 plug-in format, using the C++ programming language and the JUCE application framework. The final program offers spectral components editing capabilities and is able to morph between user-defined spectrum states in time. The introduction summarizes some common synthesis methods and their advantages or disadvantages. Next section deals with the technology used during the VST3 plug-in implementation and describes core parts that make up the final application. This analysis is focused mainly on the signal processing part, but there is also a brief description of the graphical user interface.
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Automatic quality control of painted metal parts production using neural networks
Ježek, Štěpán ; Kolařík, Martin (referee) ; Burget, Radim (advisor)
This thesis is focused on the problem of visual quality control during painted metal parts fabrication. The main problem of the thesis is the design of automatic quality control method based on modern artificial intelligence and computer vision techniques. Quality control is an important part of a large number of industrial production processes, in which it is necessary to ensure compliance with a number of quality requirements for manufactured products. Until now, quality control is carried out mainly by specialized staff, who are subject to a number of expertise requirements. Currently known methods of visual quality control based on artificial intelligence are characterized by high demands on the size of the training data set and low tolerance for a significant change in position and rotation of the inspected objects relative to the scanning device. As a result of these shortcomings, the use of automated visual quality control in many current industrial applications is impossible. The main contribution of this thesis is the design of a new method for quality control, which shows a strong ability to function reliably even in cases where the above mentioned phenomena of change in position, rotation of objects and lack of training data occur during manufacturing. The accuracy of the method proposed in this thesis is experimentally verified on a data set based on the issue of quality control of painted metal parts. According to the measurement results of defect detection accuracy, the proposed method outperformed other, currently known methods by 10, 25 % using the AUROC metric.
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Anomaly detection in video sequences on devices with low computing power
Bílek, František ; Ježek, Štěpán (referee) ; Sikora, Pavel (advisor)
The bachelor’s thesis focuses on the problem of anomaly detection in video sequences on devices with low computational power. Traditional and current approaches to anomaly detection are described from the perspective of machine learning and neural networks. The goal of the thesis is to implement an efficient and reliable algorithm capable of detecting anomalies in real-time. Emphasis is placed on minimizing computational requirements and optimizing memory usage to achieve efficiency on devices with limited computational capacities.
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Robocode - secured platform for evaluation of students' projects
Peňáz, Vladimír ; Ježek, Štěpán (referee) ; Burget, Radim (advisor)
This bachelor's thesis focuses on the design and implementation of a secure testing platform based on the game Robocode, which is used for evaluating student projects in the MSC-PDA subject. The project utilizes principles of machine learning and addresses a problem in the complexity class EXPSPACE. Evaluating the quality of results in this complexity class is challenging, and currently, there is no suitable environment available for these purposes. The objective of this thesis is to create a secure environment that allows students to compete on a game server with minimal risk of damaging the teacher's computer and ensures superuser privileges. Students will connect their trained models to the game server, where they will receive complete information about the battlefield, based on which they generate instructions for their tanks. In this way, the model will have the same information about the battle as a manually playing human. Based on the final score, it will be possible to evaluate which model performed the best. The platform is implemented in Java and works with models implemented in Python.
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Anomaly and threat detection in audit logs using machine learning
Ludes, Adam ; Ježek, Štěpán (referee) ; Tomašov, Adrián (advisor)
Tato práce představuje softwarové architektury založené na cloudu, techniky detekce anomálií, strojové učení a analýzu dat za účelem vytvoření modelu pro detekci anomálií v audit lozích z Red Hat OpenShift Container Platform. Jsou představeny statistické metody a analýza časových řad pro detekci anomálií, zatímco jsou implementovány a hodnoceny modely strojového učení a techniky předzpracování dat. Výsledky ukazují omezení tradičních modelů při zpracování anomálií v hluboce vnořených datech, zatímco model zpracovávající přirozený jazyk prokazuje robustní výkon. Tato práce poskytuje cenné poznatky a může být použita jako reference pro výzkum i praxi v oblasti softwarových architektur založených na cloudu, detekce anomálií, strojového učení a analýzy dat.
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Automatic quality control of painted metal parts production using neural networks
Ježek, Štěpán ; Kolařík, Martin (referee) ; Burget, Radim (advisor)
This thesis is focused on the problem of visual quality control during painted metal parts fabrication. The main problem of the thesis is the design of automatic quality control method based on modern artificial intelligence and computer vision techniques. Quality control is an important part of a large number of industrial production processes, in which it is necessary to ensure compliance with a number of quality requirements for manufactured products. Until now, quality control is carried out mainly by specialized staff, who are subject to a number of expertise requirements. Currently known methods of visual quality control based on artificial intelligence are characterized by high demands on the size of the training data set and low tolerance for a significant change in position and rotation of the inspected objects relative to the scanning device. As a result of these shortcomings, the use of automated visual quality control in many current industrial applications is impossible. The main contribution of this thesis is the design of a new method for quality control, which shows a strong ability to function reliably even in cases where the above mentioned phenomena of change in position, rotation of objects and lack of training data occur during manufacturing. The accuracy of the method proposed in this thesis is experimentally verified on a data set based on the issue of quality control of painted metal parts. According to the measurement results of defect detection accuracy, the proposed method outperformed other, currently known methods by 10, 25 % using the AUROC metric.
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Synthesis of the musical audio signal using direct generation of harmonics
Ježek, Štěpán ; Mekyska, Jiří (referee) ; Přikryl, Lubor (advisor)
This thesis is focused on musical sound synthesis, in particular, the method of additive synthesis. The main goal is to implement a software musical instrument in the VST3 plug-in format, using the C++ programming language and the JUCE application framework. The final program offers spectral components editing capabilities and is able to morph between user-defined spectrum states in time. The introduction summarizes some common synthesis methods and their advantages or disadvantages. Next section deals with the technology used during the VST3 plug-in implementation and describes core parts that make up the final application. This analysis is focused mainly on the signal processing part, but there is also a brief description of the graphical user interface.
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Music in crematoria and tradition of the krematorium Pardubice artistic group
Häckl, Zdeněk ; ŠTRAUS, Ivan (advisor) ; Ježek, Štěpán (referee)
The bachelor thesis deals with music in the crematoria and tradition of the artistic team of the crematorium in Pardubice. The first chapter characterizes the meaning and tradition of funeral ceremonies across history and religious denominations. The second one describes the history of crematoria in Bohemia and Europe. The third chapter is about the architecture of the Pardubice crematorium and the fourth one depicts the beginning of the local musical production and artistic background. The fifth chapter deals with the development of the artistic group in Pardubice, it provides a list of all the musicians who have worked here between 1923 and 2018. The last chapter defines the repertoire of the ensemble and its development.
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