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The algorithm for the detection of positive and negative text
Musil, David ; Harár, Pavol (referee) ; Povoda, Lukáš (advisor)
As information and communication technology develops swiftly, amount of information produced by various sources grows as well. Sorting and obtaining knowledge from this data requires significant effort which is not ensured easily by a human, meaning machine processing is taking place. Acquiring emotion from text data is an interesting area of research and it’s going through considerable expansion while being used widely. Purpose of this thesis is to create a system for positive and negative emotion detection from text along with evaluation of its performance. System was created with Java programming language and it allows training with use of large amount of data (known as Big Data), exploiting Spark library. Thesis describes structure and handling text from database used as source of input data. Classificator model was created with use of Support Vector Machines and optimized by the n-grams method.
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Trainable image segmentation using deep neural networks
Majtán, Martin ; Burget, Radim (referee) ; Harár, Pavol (advisor)
Diploma thesis is aimed to trainable image segmentation using deep neural networks. In the paper is explained the principle of digital image processing and image segmentation. In the paper is also explained the principle of artificial neural network, model of artificial neuron, training and activation of artificial neural network. In practical part of the paper is created an algorithm of sliding window to generate sub-images from image from magnetic rezonance. Generated sub-images are used to train, test and validate of the model of neural network. In practical part of the paper si created the model of the artificial neural network, which is used to trainable image segmentation. Model of the neural network is created using the Deeplearning4j library and it is optimized to parallel training using Spark library.
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Power supply of electrostatic separator
Broďák, Kamil ; Pazdera, Ivo (referee) ; Huták, Petr (advisor)
The diploma thesis focuses on the problems of electric power precipitators. Due to their current dominant position, the work concentrates on the sources of single phase transformers operating at the frequency of 50 Hz controlled by thyristors. The first part describes the electrostatic precipitator and its principle. This is followed by a brief insight into the proposal for an electrostatic precipitator. The work also explains the high voltage source that is divided into a transformer with a rectifier and into a control box with power circuits and control circuits that provide the power supplied by a transformer. The work also offers an explanation of the HV source system that operates at different conditions. The last part suggests a proposal for cooling cabinet including thyristors, for power line control box resources, for a supply line and a line to the transformer.
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Big Data Processing from Large IoT Networks
Benkő, Krisztián ; Podivínský, Jakub (referee) ; Krčma, Martin (advisor)
The goal of this diploma thesis is to design and develop a system for collecting, processing and storing data from large IoT networks. The developed system introduces a complex solution able to process data from various IoT networks using Apache Hadoop ecosystem. The data are real-time processed and stored in a NoSQL database, but the data are also stored in the file system for a potential later processing. The system is optimized and tested using data from IQRF network. The data stored in the NoSQL database are visualized and the system periodically generates derived predictions. Users are connected to this system via an information system, which is able to automatically generate notifications when monitored values are out of range.
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Electronic control units of present SI-engines
Michna, Lukáš ; Beran, Martin (referee) ; Dundálek, Radim (advisor)
Bachelor’s thesis named „Electronic control units of present SI-engines” treats of presently known and extended electronic control systems of SI-engines, so those ones, who mainly control both fuel-air mixture preparing and its ignition in combustion chamber. These are two fundamental functions for engine running, so they are described in light of basic principle of operation and also in light of each kind of these systems and its developmental stage description. Next point is enumeration and description of single parts of electronic control system participating in engine controlling, separated to logic sections. The end of publication makes reader acquainted with most extended types of electronic control systems, their producers and elementary differences.
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Distributed Big Data Processing on the Java Platform
Tutko, Jakub ; Rychlý, Marek (referee) ; Burget, Radek (advisor)
This thesis is focused on the distributed Big Data processing on the Java platform, together with graph databases. It analyses several graph database distributions and the possibilities to connect them to the Apache Hadoop system for distributed data processing. For the purpose of testing database solutions effectiveness, the thesis outcome is an application, which is downloading data from social networks Twitter and Facebook. It is able to write and analyse data with two different database frameworks which are Halyard and HGraphDB.
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Big Data Processing from Large IoT Networks
Benkő, Krisztián ; Podivínský, Jakub (referee) ; Krčma, Martin (advisor)
The goal of this diploma thesis is to design and develop a system for collecting, processing and storing data from large IoT networks. The developed system introduces a complex solution able to process data from various IoT networks using Apache Hadoop ecosystem. The data are real-time processed and stored in a NoSQL database, but the data are also stored in the file system for a potential later processing. The system is optimized and tested using data from IQRF network. The data stored in the NoSQL database are visualized and the system periodically generates derived predictions. Users are connected to this system via an information system, which is able to automatically generate notifications when monitored values are out of range.
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Czech music magazines in the beginning the 21 century
Klézl, Tomáš ; Halada, Andrej (advisor) ; Hroch, Miloš (referee)
1 Annotation (abstract) The bachelor thesis Czech music magazines in the beginning of the 21st century focuses on printed music magazines which were published between the years 2001 and 2019 in the Czech Republic. The local music magazine market went through several different changes over this period. The objective of this thesis is to describe its evolution and to create profiles of the individual periodicals. The currently active music magazines are Fakker, Full Moon, Harmonie, Hudební rozhledy, Opus musicum, Rock & Pop and Spark. The thesis examines history, staff, publisher, circulation, specialization and internet activity of each these magazines and describes the content of one selected issue. The thesis also deals with the music magazines which were published during the selected era, but were cancelled or transformed into a digital format, that means Bbarák, Filter, Folk and Country, HIS Voice, Music, Report, Rock & All and XMag. The thesis examines the history, staff, publisher and specialization of each of these magazines and describes the content of one selected issue. The thesis also contains a brief timeline of the history of Czech music magazines and provides definitions of several journalistic terms.
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Distributed Big Data Processing on the Java Platform
Tutko, Jakub ; Rychlý, Marek (referee) ; Burget, Radek (advisor)
This thesis is focused on the distributed Big Data processing on the Java platform, together with graph databases. It analyses several graph database distributions and the possibilities to connect them to the Apache Hadoop system for distributed data processing. For the purpose of testing database solutions effectiveness, the thesis outcome is an application, which is downloading data from social networks Twitter and Facebook. It is able to write and analyse data with two different database frameworks which are Halyard and HGraphDB.
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