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Cavitation assessment from flow rate drop and high-frequency pressure pulsations.
Šebek, Miloš ; Hudec, Martin (referee) ; Habán, Vladimír (advisor)
Main issue of this master´s thesis deals with high-frequency pulsations caused by cavitating hydraulic components (in this case nozzle and throttle valve). In first measurement on the nozzle was not a high-frequency sensor set in the way, so the evaluation was incorrect. After re-setting of the way was the nozzle measured again and the pulsations were evaluated correct this time. During the last measurement was the sensor located behind the throttle valve, which was with gradual opening and cavitation treatment measured. Resulting dependencies worked out on time dependence. A special mathematical method, Fourier transformation, was used. It transformed pressure amplitudes into frequency dependence. Evaluation of dependecies is the basic step for frequency band assesment, in which the cavitation on particular components happens.
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Implementation of Discussion Group for Students
Šebek, Michal ; Techet, Jiří (referee) ; Lukáš, Roman (advisor)
This thesis discusses analysis and development of information system, such as discussion group for students of technical school. It is focused to summarizing facts about implementation of special functions such as inserting pictures, tables and LaTeX math theorems dynamicly into comments. Also thesis discusses using artificial intelligence for vulgarisms detection in comments. The system was implemented in languages PHP, MySQL, XHTML, CSS and JavaScript.
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Dynamic Definable Dashboard
Počatko, Boris ; Burget, Radek (referee) ; Šebek, Michal (advisor)
This thesis deals with the design and implementation of a dynamic user-definable dashboard. The user will be able to define conditions dynamically, which will filter out and save only the data he needs. The application will support the changing of the condition definitions and the display of the graphs after they were created. The current implementations available on the internet are usually solutions designed to fit only one type of project and are not designed to meet general guidelines for a dashboard. The dashboard is designed for a smooth cooperation with high load databases and therefore not to slow down the whole solution.
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Functionality Extension of Data Mining System on NetBeans Platform
Šebek, Michal ; Zendulka, Jaroslav (referee) ; Lukáš, Roman (advisor)
Databases increase by new data continually. A process called Knowledge Discovery in Databases has been defined for analyzing these data and new complex systems has been developed for its support. Developing of one of this systems is described in this thesis. Main goal is to analyse the actual state of implementation of this system which is based on the Java NetBeans Platform and the Oracle database system and to extend it by data preprocessing algorithms and the source data analysis. Implementation of data preprocessing components and changes in kernel of this system are described in detail in this thesis.
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A Tool for Evaluation of Web Page Optimization
Hák, Karel ; Šebek, Michal (referee) ; Burget, Radek (advisor)
This bachelor's thesis deals with the web search engines, the ways of web page optimization for search engines and the design of a tool, which evaluates the degree of web page optimization based on selected parameters (keywords, position in search engines, website ranking - SRank and PageRank). The thesis also describes the implementation of the designed tool, used technologies (PHP, CSS, JavaScript, Git) and libraries (Nette framework).
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Optimization of Structured Queries on Large Databases
Janeček, Jiří ; Šebek, Michal (referee) ; Burget, Radek (advisor)
This master's thesis deals with optimization of structured queries on large databases. Principles of these optimizations are used during creation of application, which allows finding over one specific large database. At the same time this thesis compares efficiency between the new designed SQL constructions and the not optimized SQL constructions.
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Utilization of Multiple Level Association Rules in an e-Shop
Králík, Michael ; Šebek, Michal (referee) ; Bartík, Vladimír (advisor)
This thesis deals with design and implementation of a complete information system for the needs of electronic shop, where multiple level association rules will be used for data mining. The information system will include warehouse management, automated order processing, payment management, tax records and display various statistics. Technologies such as HTML, Latte, CSS, JavaScript, Nette Framework, PHP and MySQL were used to implement this system.
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Periodic Patterns Mining
Stríž, Rostislav ; Zendulka, Jaroslav (referee) ; Šebek, Michal (advisor)
Data collecting and analysis are commonly used techniques in many sectors of today's business and science. Process called Knowledge Discovery in Databases presents itself as a great tool to find new and interesting information that can be used in a future developement. This thesis deals with basic principles of data mining and temporal data mining as well as with specifics of concrete implementation of chosen algorithms for mining periodic patterns in time series. These algorithms have been developed in a form of managed plug-ins for Microsoft Analysis Services -- service that provides data mining features for Microsoft SQL Server. Finally, we discuss obtained results of performed experiments focused on time complexity of implemented algorithms.
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Classification Mining Modules of Data Mining System on NetBeans Platform
Kuzma, Norbert ; Šuška, Boris (referee) ; Šebek, Michal (advisor)
This bachelor thesis deals with the data mining and the creation of data mining unit for data mining system, which is beeing developed at FIT. This is a client application consisting of a kernel and its graphical user interface and independent mining modules. The data mining system is implemented in Java language and its graphical user interface is built on NetBeans platform. The content of this work will be the introduction into the issue of knowledge discovery and then the presentation of neural networks, for which there will subsequently be implemented the stand-alone data mining module. Furthermore, the implementation of this modulewill be described.
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Agent System for Searching on Real Estate Servers
Šimara, Michal ; Šebek, Michal (referee) ; Filák, Jakub (advisor)
Object of this bachelor thesis is design and implement an agent system for searching on real estate servers. Nowadays are agent systems one of the popular topics in artifical intelligence and offers a wide range of possible uses. One of them is searching for information on the Web. In this paper are described existing agent-based retrieval systems. They serve as insipiration to design the final system, which search information on real estate servers and create an overview of them.
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