This master thesis focuses on filtering and forwarding packets in high speed networks. Firstly the DPDK framework is introduced, which is used for fast packet processing. This project also introduces a design of application for high-speed packet filtering and design of tools for making it easier to work with that application. Subsequently, the implementation of this design is introduced and testing with comparison of results with a standard firewall

The doctoral thesis deals with mobile laser scanning and data processing. Mobile laser scanning was carried out in the Moravian Karst in Suchy zleb and Pusty zleb at various seasons. Further scanning was carried out at the Training Forest Enterprise Masaryk Forest Křtiny. The Riegl VMX-450 scanner was used to collect 3D data. The data files were processed in the OPALS software. For the extraction of ground and non-ground points from the laser cloud, a combination of hierarchical interpolation and robust filtering was used. Subsequently, the terrain points were used to model digital terrain models with grids 0.05 x 0.05 m, 0.25 x 0.25 m, 1 x 1 m. Furthermore, digital models from Moravian Karst were compared with the Digital relief model of the Czech Republic 4G and reference points. Digital models from Masaryk Forest Křtiny were compared with photogrammetric and terrestrial data. The high accuracy of the derived DTMs is about 0.10 m. The high quality of the derived DTM can be used to monitor and analyze field changes and morphological structures.

The aim of the Master's thesis was to study contemporary methods for human pulse detection from standard video and suggest a method, which can be used to detect the pulse. Approaches of detecting miniature changes between frames of a video are presented. Position changes of the feature points or changes in colour of some part of an image are detected. It capitalize on the fact that those changes are caused by the pulse of blood. The method for color changes magnification is selected as a base for pulse detector. Face regions of interest are analyzed to detect frequency of changes of intensity between frames. 1D signal is gained and its analysis leads to heart rate. Approach to create heat map of frequency changes is also presented.

Recommender systems are programs that aim to present items like songs or books that are likely to be interesting for a user. These systems have become increasingly popular and are intensively studied by research groups all over the world. In web systems, like e-shops or community servers there are usually multiple data sources we can use for recommending, as user and item attributes, user-item rating or implicit feedback from user behaviour. In the thesis, we present a concept of a Universal Recommender System (Unresyst) that can use these data sources and is domain-independent at the same time. We propose how Unresyst can be used. From the contemporary methods of recommending, we choose a knowledge based algorithm combined with collaborative filtering as the most appropriate algorithm for Unresyst. We analyze data sources in various systems and generalize them to be domain-independent. We design the architecture of Unresyst, describe its interfaces and methods for processing the data sources. We adapt Unresyst to three real-world data sets, evaluate the recommendation accuracy results and compare them to a contemporary collaborative filtering recommender. The comparison shows that combining multiple data sources can improve the accuracy of collaborative filtering algorithms and can be used in systems where...

The focus of this thesis is the comparison of languages and the reduction of automata used in network traffic monitoring. In this work, several approaches for approximate (language non-preserving) reduction of automata and comparison of their languages are proposed. The reductions are based on either under-approximating the languages of automata by pruning their states, or over-approximating the language by introducing new self-loops (and pruning redundant states later). The proposed approximate reduction methods and the proposed probabilistic distance utilize information from a network traffic. Formal guarantees with respect to a model of network traffic, represented using a probabilistic automaton are provided. The methods were implemented and evaluated on automata used in network traffic filtering.

The goal of this project is to explore the problem of product recommendations in the area of e-commerce and to evaluate known techniques, design product recommendation system for an existing e-commerce site, implement it and test it. This report introduces the problem, briefly examines current state of affairs in this area and defines requirements for a product recommendation module. The concept of data mining in general is introduced. The report proceeds to present detailed design corresponding to defined requirements and summarizes data gathered during testing phase. It concludes with evaluation and with discussion of the remaining goals for this thesis.

Cílem této práce je vytvořit systém, který je schopný automaticky určit množinu testů, které mají být spuštěny, když dojde v ComplianceAsCode projektu ke změně. Navržená metoda vybírá množinu testů na základě statické analýzy změněných zdrojových souborů, přičemž bere v úvahu vnitřní strukturu ComplianceAsCode. Vytvořený systém je rozdělen do čtyř částí - získání změn s využitím verzovacího systému, statická analýza různých typů souborů, zjištění souborů, které jsou ovlivněny těmi změnami, a výpočet množiny testů, které musí být spuštěny pro danou změnu. Naimplementovali jsme analýzu několika různých typů souborů a náš systém je navržen tak, aby byl jednoduše rozšiřitelný o analýzy dalších typů souborů. Vytvořená implementace je nasazena na serveru, kde automaticky analyzuje nové příspěvky do ComplianceAsCode projektu. Automatické spouštění informuje přispěvatelé a vývojáře o nalezených změnách a doporučuje, které testy by pro danou změnu měly být spuštěny. Tím je ušetřen čas strávený při kontrole správnosti příspěvků a čas strávený spouštěním testů.

This diploma thesis deals with the implementation of the CAN 2.0 communication protocol in single-chip microprocessors. In the first part communication protocols currently used in automotive application and their properties are described, with impact on communication protocol CAN 2.0. The second part is dedicated to the description of communication protocol CAN 2.0 particular features. The principle of data transmission, principle of bus arbitration and also the structure of individual frames, which can occur on it are mentioned. The final part relates with the task to compare FIFO architecture to MailBox architecture. On the basis of measurement the comparison of these architectures in typical applications was performed. Because of setting these results the prototyping board was designed. This board was utilized to design the net conception.

Network simulation can be beneficial not only in solving problems while applying new standards or recommendations, but also primarily an aid in understanding and verifying knowledge of behaviour of communications protocols. The aim of the thesis is to create illustrative tasks in the simulation environment, Network Simulator 2 (NS-2), which are designed to verify the behavior of BGP and multicast. Created tasks are above all devoted to BGP, which is the cornerstone of routing information of all IP networks conglomerate, the Internet. The first two tasks designed for BGP use the implementation of ns-BGP and the remaining are based on the implementation of BGP++. The tasks verify both the function of basic attributes of the protocol, influencing the decision making process when routing information (AS_PATH, MED, LOCAL_PREF, WEIGHT), and furthermore the methods or parameters affecting the efficiency of the process of routing and a reduction of excessive network traffic (BGP confederation, routing, aggregation, MRAI). The last task regards multicast, more specifically the type of DM, which is a group of the so-called Dense Mode. The task illustrates how to join/leave groups and spread messages of types GRAFT and PRUNE under a constant data stream.

The main objective of this thesis is to create an effective database system, which also serves as a source of information. The proposed system aims to facilitate and simplify the clarity of internal company information, about customers but also their employees. Then there is also the possibility to control workforce planning for individual contracts and globally but also meeting their the deadlines. We can notforget the marketing approach of the company and its public promotion.