National Repository of Grey Literature 193 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
About the Origin of the States of the Volga Bulghars and East Slavs
Bürger, Martin ; Picková, Dana (advisor) ; Smrž, Pavel (referee)
The present thesis summarizes the oldest history of the Volga Bulghars and East Slavs, the two mutually influencing neighbours that nevertheless differed in their origin, language and also their way of living, material and spiritual culture and foreign political orientation. The process of the origin of Volga Bulghars State and East Slaves State is emphasized; three key factors are compared - long distance trade, establishing diplomatic ties to stronger neighbours and acceptance of a monotheistic religion.
Exploring Contextual Information in Neural Machine Translation
Jon, Josef ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
Tato práce se zabývá zapojením mezivětného kontextu v neuronovém strojovém překladu (NMT). Dnešní běžné NMT systémy překládají jednu zdrojovou větu na jednu cílovou větu, bez jakéhokoliv ohledu na okolní text. Tento přístup je nedostačující a neodpovídá způsobu práce lidských překladatelů. Pro mnoho jazykových párů je dnes za splnění určitých (přísných) podmínek výstup NMT nerozeznatelný od lidského překladu. Jedna z těchto podmínek je, že hodnotitelé skórují přeložené věty nezávisle, bez znalosti kontextu. Při hodnocení celých dokumentů je výstup NMT stále hodnocen hůře, než lidský překlad, i v případech, kdy byl na úrovni jednotlivých vět preferován. Tato zjištění jsou motivací pro výzkum zapojení kontextu na úrovni dokumentu v NMT, je totiž možné, že na úrovni vět již není mnoho prostoru ke zlepšení, alespoň pro jazykové páry a domény bohaté na trénovací data. Tato práce shrnuje současné přístupy zapojení kontextu do překladu, několik z nich je implementováno a vyhodnoceno v rámci obecné překladové kvality i na překladu specifických fenoménů souvisejících s kontextem. Pro zhodnocení kvality jednotlivých systému byla ručně vytvořena testovací sada pro překlad z anglického do českého jazyka.
A Monitoring and Aggregation Device for Large Amounts of Industry Data
Held, Oliver ; Pánek, Richard (referee) ; Smrž, Pavel (advisor)
This bachelor thesis describes hardware and software development of a monitoring device for the collection of industrial big data. The device is based on the development BeagleBone Black kit together with vibration sensors, temperature sensors and strain gauges. The objective of the thesis is to design a device with respect to low production cost, simplicity and possible modularity. The I2C bus and embedded AD converter are used for the collection of the data from the sensors. The data is sent to remote server using UDP protocol. Furthermore, custom strain gauge module is designed and tested. The practical contribution of the thesis is to test the platform functionality, that includes collection, aggregation and transfer of the data.
Computer as an Intelligent Partner in the Word-Association Game Codenames
Jareš, Petr ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
This thesis solves a determination of semantic similarity between words. For this task is used a combination of predictive model fastText and count based method Pointwise Mutual Information. Thesis describes a system which utilizes semantic models for ability to substitue a player in a word association game Codenames. The system has implemented game strategy enabling use of context information from the game progression to benefit his own team. The system is able to substitue a player in both team roles.
Big Data Processing in Industry 4.0
Stredánsky, Dávid ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
Main goal of this thesis is to create application for industrial big data processing. Final application uses bearing vibration data. The application's design is inspired by Lambda architecture for big data processing. The application monitors data recieved from sensors in real time and enables periodic batch processing. Known methods from bearing condition monitoring, such as root mean square, deviation or skewness extraction are used in batch processing. Data prediction method Prophet is tested out in this thesis. Final web appli- cation is written in the Python language with the use of Dash framework and results are stored in MySQL database.
Information Extraction from Wikipedia
Valušek, Ondřej ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis deals with automatic type extraction in English Wikipedia articles and their attributes. Several approaches with the use of machine learning will be presented. Furthermore, important features like date of birth in articles regarding people, or area in those about lakes, and many more, will be extracted. With the use of the system presented in this thesis, one can generate a well structured knowledge base, using a file with Wikipedia articles (called dump file) and a small training set containing a few well-classed articles. Such knowledge base can then be used for semantic enrichment of text. During this process a file with so called definition words is generated. Definition words are features extracted by natural text analysis, which could be used also in other ways than in this thesis. There is also a component that can determine, which articles were added, deleted or modified in between the creation of two different knowledge bases.
Identifying Entity Types and Attributes Across Languages
Švub, Daniel ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
The target of this thesis is to analyze articles on the Wikipedia internet encyclopedia and to convert their text written in natural language into a structured database of persons, places and other entities. The essence of the implemented program is the determination of the type of entity based on its typical characteristics, and the extraction of the most important attributes of this entity in the Czech and Slovak languages. The result of this task is a knowledge base allowing simple searching and sorting of information. Thanks to its easy extensibility, it is possible to add identification of other types of entities and other features to the program, as well as a support of other languages.
Support for Codenames Game on Mobile Phone with OS Android
Hurta, Martin ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
The aim of this thesis is to create an support application for word association board game Codenames on mobile phones with operating system Android. The solution consists of detection and recognition of the game board using the OpenCV and Tess-two libraries and Google Firebase ML Kit tools and providing support during the game, including an optional level of assistance and the ability to play on multiple devices with Google Play Games services. These features motivate the user to further use the application and provide data in~the form of generated game records, that are useful for further development and validation of association models or strategies for automatic playing.
Keyword Suggestion in the Central Portal of Czech Libraries
Balaga, Róbert ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis deals with various methods of keyphrase extraction from documents, specifically focused on documents from the Central Portal of Czech Libraries. Various methods from statistical, linguistic and graph-based methods have been implemented. Also a new method was suggested, that combines the statistical and linguistic approach. Individual methods have been tested and analyzed according to the standard evaluation metrics, with the suggested method achieving recall of 30 percent.
Combat Management in Starcraft II Game by Means of Artificial Intelligence
Krajíček, Karel ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
This thesis focuses on the use of Artificial Intelligence and design of working module in Real-Time Strategy (RTS) game, StarCraft II.  The proposed solution uses Neural Network and Q-learning for combat management. For implementation, the StarCraft 2 Learning Environment has been used as a means of communication between the designed system and the game. Evaluation of the system is based on its ability to make progress over time.

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2 Smrž, Peter
2 Smrž, Petr
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