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Industry 4.0 in according Design and Application of Production Machines
Serykh, Pavel ; Szabari, Mikuláš (referee) ; Knoflíček, Radek (advisor)
This Bachelor thesis is focused on the theme of CNC manufacturing machines and their use in accordance with the principles of Industry 4.0. The first part is a search of the current state in the field of the most frequently used CNC production machines in engineering according to their design and application. In the second part described principles, basic attributes and key technologies of Industry 4.0, defined concept. The last part is on top of the project conceptual workplace with CNC manufacturing machines in the premises of the technical high school VUTBR in accordance with the principles and tenets of Industry 4.0 and the evaluation of the results achieved.
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Computational tasks for Parallel data processing course
Horečný, Peter ; Rajnoha, Martin (referee) ; Mašek, Jan (advisor)
The goal of this thesis was to create laboratory excercises for subject „Parallel data processing“, which will introduce options and capabilities of Apache Spark technology to the students. The excercises focus on work with basic operations and data preprocessing, work with concepts and algorithms of machine learning. By following the instructions, the students will solve real world situations problems by using algorithms for linear regression, classification, clustering and frequent patterns. This will show them the real usage and advantages of Spark. As an input data, there will be databases of czech and slovak companies with a lot of information provided, which need to be prepared, filtered and sorted for next processing in the first excercise. The students will also get known with functional programming, because the are not whole programs in excercises, but just the pieces of instructions, which are not repeated in the following excercises. They will get a comprehensive overview about possibilities of Spark by getting over all the excercices.
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Industry 4.0 and Industrial Robots in Machinary
Kotrba, Martin ; Vetiška, Jan (referee) ; Knoflíček, Radek (advisor)
The aim of this work is to describe the principles of the Industry 4.0 initiative defaced by the Ministry of Industry and Trade. Creating a search of the current state of industrial robots and manipulators according to their design and application. Design an ideological robotic workplace at BUT premises in kontext with Industry 4.0
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BigData Approach to Management of Large Netflow Datasets
Melkes, Miloslav ; Ráb, Jaroslav (referee) ; Ryšavý, Ondřej (advisor)
This master‘s thesis focuses on distributed processing of big data from network communication. It begins with exploring network communication based on TCP/IP model with focus on data units on each layer, which is necessary to process during analyzation. In terms of the actual processing of big data is described programming model MapReduce, architecture of Apache Hadoop technology and it‘s usage for processing network flows on computer cluster. Second part of this thesis deals with design and following implementation of the application for processing network flows from network communication. In this part are discussed main and problematic parts from the actual implementation. After that this thesis ends with a comparison with available applications for network analysis and evaluation set of tests which confirmed linear growth of acceleration.
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Temporary Zone
Maňas, Kristian ; Zálešák, Jan (referee) ; Kögler, Žaneta (advisor)
Temporary zone is open-source design studio. This diploma thesis is concerned with origin of the project and its theoretic background. Theoretic part of the thesis defines the term „open-source design“ and tries to explain motivations behind creation of Temporary zone.
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Exploratory Analysis of Big Data in "jmenomesto"
Trampeška, Václav ; Plchot, Oldřich (referee) ; Landini, Federico Nicolás (advisor)
Tato práce se zabývá analýzou databáze online hry Jméno, město. V této hře mají hráči za úkol adekvátně odpovídat na zadané kategorie odpovědmi začínající na zadané písmeno. Práce analyzuje evoluci chování hráčů během existence hry a chování hráčů v různých zemích a kulturách v rámci stejného i jiného jazyka na základě popularity různých odpovědí. Pro zjednodušení vykonávání těchto analýz byla vyvinuta webová aplikace umožňující snadnou kolekci a vizualizaci dat v grafech bez nutnosti znalosti databázové struktury a dotazovacího jazyka. Výsledky navržených analyzačních metod jsou porovnávány s daty služby Google Trends za účelem zjištění podobností mezi daty sledovanými ve hře a internetovým vyhledáváním. Z toho porovnání vyplývá, že navržené metody mohou dávat smysluplné výsledky a databáze tedy může být vhodnou pro vykonávání dalších konkrétně zaměřených analýz. Práce dále, i na základě výsledků analýz, navrhuje změny pro zlepšení hry v rámci hráčského prožitku a výdělečnosti.
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Big Data Processing in Industry 4.0
Trubka, Jakub ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
This thesis deals with collecting, processing, and storing big data obtained from monitoring industry machines. The designed and implemented system focuses on extensibility and scalability attributes of the realised solution. The survey part of the text briefly describes existing solutions and discusses collecting and processing big industrial data. A special attention is also paid to the big data storage technology. The crucial part of the thesis then refers to the design and realisation of the system and its individual components, as well as its testing and final evaluation.
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Comparison of Annotation Tools
Prexta, Dávid ; Otrusina, Lubomír (referee) ; Dytrych, Jaroslav (advisor)
This work deals with the comparison of annotation tools when working with various data sets, and obtaining the results of comparisons useful for improving the knowledge base of the annotators. The thesis analyzes the existing solutions and their drawbacks, from which the proposals of the new solution are deduced. The other sections deals with the design, implementation and testing of the resulting tool, which is evaluated at the conclusion, and possible future extensions are suggested.
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Platform for Defining and Processing of Data
Hala, Karel ; Večeřa, Martin (referee) ; Kříž, Jiří (advisor)
This diploma thesis deals with creating platform which serves for easy manipulation with large data set. There are numerous technical knowledge described in this thesis to understand web development. Later there are proposed approaches of how to make as easy as possible for user to define and work with large data sets. Platform is written and created in a way, that it is easy to extend eny part of it.
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