Symmetry is a common property of real world objects as well as of artificially created geometric models. The knowledge about symmetry of a given object can be useful in many applications in computer graphics and geometry processing, such as compression, object alignment, symmetric ...

The evolution of cars from mechanical systems to rolling computers creates new requirements for safety and security engineering. Nowadays, every vehicle contains a safety-critical real-time communication network to fulfill its function. Especially the increasing connectivity of automotive systems enlarged&...

The dissertation thesis deals with the standardization of metadata in the combination of information systems and multidisciplinary data-oriented medical research. Metadata standardization in the thesis does not only consist of a suitable, unambiguous, and comprehensible description based on ontologies ...

This work summarizes the results of the study of vocal cords evaluation based on data extracted from recordings taken by a laryngoscopic system, specifically by Laryngeal High-Speed Videoendoscopy (LHSV). The main goal of this work is to process images contained in the recorded LHS...

Over the past couple of years, machine learning methods - especially the Outlier Detection (OD) ones - have become anchored to the cyber security field to detect network-based anomalies rooted in novel attack patterns. Due to the steady increase of high-volume, high-speed and high-...

Dialogue act (DA) recognition is an important step of dialogue management and understanding. This task is to automatically assign a label to an utterance (or its part) based on its function in a dialogue (e.g. statement, question, backchannel, etc.). Such utterance-level classification ...

The thesis provides an analysis and adaptation of appropriate security methods from the software domain into the FPGA world and combines them with formal verification methods and machine learning techniques. The deployment of appropriate defense mechanisms requires intelligence about ...

The thesis deals with multi factor authentication in mobile networks. The first part of thesis describes two new multifactor authentication algorithms: "Strong Authentication for Internet Mobile Application" and "Strong Authentication for Internet Application". Protocol "Strong Authenticati...

In many applications, precise measurement of short delays between analogue signals is required. But in many cases signal features are fixed and signal processing resources are limited, therefore, my goal was development of methods, that allows such measurements without expensive devices. &#x...

Vector fields or flow fields are results of numerical simulations or real measurements. The data size is very large especially for 3D vector fields. This thesis focuses on vector fields approximation and compression using meshless techniques. The approximation of vector fields focuses m...

Kinetic data structures represent a valuable tool for the geometry challenges in computer graphics, because they allow the extension of the standard tools and data structures for time-dependent data. Thanks to this concept, it is possible to exploit the properties of, e.g., Delaunay...

During recent years, neural network-based methods are showing crucial improvements in catching semantic and syntactical properties of words or sentences. Much has been investigated about word embeddings of English words and phrases, but little attention has been dedicated to other languages. ...

A reconstruction of large scattered datasets using interpolation or approximation methods is often task in many engineering problems. Several techniques have been developed for data interpolation or approximation, but they usually require an ordered dataset, e.g. rectangular mesh, structured mesh,...

Curvature is an important geometric property in computer graphics that provides information about the object surfaces. The exact curvature can only be calculated for a limited set of surface descriptions. Most of the time, we deal with triangles, point sets or some other discrete&#...

Erosion simulation is an important problem in the field of computer graphics. The most prominent erosion processes in nature are weathering and hydraulic erosion. Many methods address these problems but they are mostly based on height fields or volumetric data. Height fields do not...

Sentiment analysis is a sub-field of natural language processing. Generally, it deals with an automatic extraction and analysis of sentiments, opinions, emotions, and beliefs expressed in written text. Sentiment analysis has become a mainstream research field since the early 20...

Complex industrial processes are usually controlled by advanced control systems. The control system guarantees basic functioning of the process, but a part of responsibility for the setting of several parameters is left to operators. As the settings of these parameters can substantially ...

The thesis describes new distributed file system KIVFS, its modules and attributes. Further, the thesis deals with the problem of interconnecting of distributed file system and mobile devices. Based on found limitations as are restricted data and energy sources or unstable and various&#...

The aim of the thesis was to evaluate neural networks for classification of brain reactions to stimuli in P300-based brain-computer interfaces. Several neural network classification algorithms were proposed and compared with traditionally used classifiers in this field. The algorithms tested incl...

Currently, there is no common data standard in the experimental electroencephalography/event-related potential (EEG/ERP) domain. Existing standardization efforts are mainly based on the conventional approaches and use generic data formats and containers (e.g. HDF5, odML) popular in the research c...