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Text Data Clustering
Leixner, Petr ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
Process of text data clustering can be used to analysis, navigation and structure large sets of texts or hypertext documents. The basic idea is to group the documents into a set of clusters on the basis of their similarity. The well-known methods of text clustering, however, do not really solve the specific problems of text clustering like high dimensionality of the input data, very large size of the databases and understandability of the cluster description. This work deals with mentioned problems and describes the modern method of text data clustering based on the use of frequent term sets, which tries to solve deficiencies of other clustering methods.
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Mobile wheel cranes
Matula, David ; Pokorný, Přemysl (referee) ; Škopán, Miroslav (advisor)
The aim of the thesis is introduction of mobile crane and comparison of individual models from different manufacturers. The first part is devoted to the history of cranes. Other types of cranes are mentioned here as well. In the main part are mentioned systems that we can encounter in cranes. At the same time, it categorizes cranes of the world's leading manufacturers according to the main technical and dimensional solutions. The third and last part of the thesis, is trying to estimate development trends.
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Automated Web Page Categorization Tool
Lat, Radek ; Bartík, Vladimír (referee) ; Malčík, Dominik (advisor)
Tato diplomová práce popisuje návrh a implementaci nástroje pro automatickou kategorizaci webových stránek. Cílem nástroje je aby byl schopen se z ukázkových webových stránek naučit, jak každá kategorie vypadá. Poté by měl nástroj zvládnout přiřadit naučené kategorie k dříve nespatřeným webovým stránkám. Nástroj by měl podporovat více kategorií a jazyků. Pro vývoj nástroje byly použity pokročilé techniky strojového učení, detekce jazyků a dolování dat. Nástroj je založen na open source knihovnách a je napsán v jazyce Python 3.3.
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Recognition of persons clothing in the video signal
Mlýnková, Barbora ; Kříž, Petr (referee) ; Přinosil, Jiří (advisor)
This paper is dealing with the detection clothes characteristics in the picture, for the use of person identification. These characteristics are described and categorized. It also deals with the design of the database structure, which works with masks and categories of characteristics for their processing. This work uses haar cascades to detect face and to determine the position of clothing for the purpose of color detection
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Exploitation skid steer loaders possibility.
Blažek, Jaroslav ; Kašpárek, Jaroslav (referee) ; Škopán, Miroslav (advisor)
The thesis deals with posibilities of uses for skid steer loaders. It considers this problem from the viewpoint of the finding of optimal machine. For these purposes the thesis contains well-aranged tables of 101 types of loaders, which are by 15 leading companies manufactured. On the basis of these tables are the categories created. In every category is on the basis of determining criteria choosen the most and the least optimal skid steer loader.
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Database of non-biometric and soft biometric human traits
Mlýnková, Barbora ; Říha, Kamil (referee) ; Dvořák, Pavel (advisor)
This paper is dealing with the detection of secondary biometric and nonbiometric characteristics in the picture, for the use of person identification. These characteristics are described and categorized. It also deals with the design of the database structure, which works with masks and categories of characteristics for their processing. This work might be practically used for machine learning.
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Recognition of emotions in Czech texts
Červenec, Radek ; Smékal, Zdeněk (referee) ; Burget, Radim (advisor)
With advances in information and communication technologies over the past few years, the amount of information stored in the form of electronic text documents has been rapidly growing. Since the human abilities to effectively process and analyze large amounts of information are limited, there is an increasing demand for tools enabling to automatically analyze these documents and benefit from their emotional content. These kinds of systems have extensive applications. The purpose of this work is to design and implement a system for identifying expression of emotions in Czech texts. The proposed system is based mainly on machine learning methods and therefore design and creation of a training set is described as well. The training set is eventually utilized to create a model of classifier using the SVM. For the purpose of improving classification results, additional components were integrated into the system, such as lexical database, lemmatizer or derived keyword dictionary. The thesis also presents results of text documents classification into defined emotion classes and evaluates various approaches to categorization.
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Methods for Information Extraction in Text Documents
Sychra, Tomáš ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
Knowledge discovery in text documents is part of data mining. However, text documents have different properties in comparison to regular databases. This project contains an overview of methods for knowledge discovery in text documents. The most frequently used task in this area is document classification. Various approaches for text classification will be described. Finally, I will present algorithm Winnow that should perform better than any other algorithm for classification. There is a description of Winnow implementation and an overview of experimental results.
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Application of EU legislation requirements in UAS operation
Khairullov, Ruslan ; Kružlicová, Alžbeta (referee) ; Chlebek, Jiří (advisor)
This thesis addresses the legal requirements for operating drones and covers topics such as drone registration, licensing and compliance with specific flying regulations. The practical part of this thesis focuses on the process of categorising drone operations and determining the appropriate category based on the associated risks. A detailed drone registration scheme is also presented, complete with the necessary documents required for registration and operational changes. The conclusions of this thesis serve as a valuable resource for drone operators and offer a practical perspective on the legal and operational aspects of drone use in the Czech Republic. The comprehensive flowchart presented in this thesis provides a step-by-step guide to the procedures necessary for the legal operation of drones.
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Impact of the covid-19 pandemic on air passenger transport
EMMER, Matěj
This thesis examines the impact of the covid-19 pandemic on air passenger transport within the air transport network structures. It also focuses on examining the relationships between different categories of the global airport network during the pandemic and regional differences in air passenger traffic around the world. The results of the thesis are presented by analysing data for the period before and after the start of the covid-19 pandemic. The data on which the thesis is based are compiled from several global aviation organisations such as ICAO - International Civil Aviation Organisation or IATA - International Air Transport Association or from publicly available annual reports of individual airports around the world. The conclusions of the thesis point to an enormous intervention in air passenger transport that was unprecedented until then.
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