National Repository of Grey Literature 43 records found  1 - 10nextend  jump to record: Search took 4.65 seconds. 
Visualisation of adaptive ant colony optimization algorithm
Tichý, Vojtěch ; Kumpán, Pavel (referee) ; Appel, Martin (advisor)
Bachelor thesis was dealing with programming and creating model for education and understanding of Ant Colony Optimization functioning, which was modified to be able to adapt on the change of terrain. Thesis was further focused on comparing several optimization methods inspired by nature and demarcation their utilization in practical situations.
Adaptive Digital Filtering of Biological Signals
Ištok, Martin ; Kozumplík, Jiří (referee) ; Provazník, Ivo (advisor)
The main objective of this bachelor’s thesis was to describe adaptive digital filtering theory including different types of the adaptive algorithm and adaptive filter. An adaptive systém is used for power line interference canceller for ECG signal. The thesis includes design of 4 adaptive filters: simple adaptive filter, simple adaptive notch filter, adaptive notch filter using resonator and adaptive notch filter using adaptive resonator. It also contains basic testing of the filters based on different settings. Different settings are also evaluated.
Knowledge Discovery from Process Logs
Kluska, Martin ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
This Master's describes knownledge discovery from process logs by using process mining algorithms. Chosen algorithms are described in detail. These aim to create process model based on event log analysis. The goal is to design such components, which would be able to import the process and run the simulations. Results from components can be used for short term planning.
Multiagent system for traffic flow simulation and analysis
Koutný, Vladimír ; Hynčica, Ondřej (referee) ; Honzík, Petr (advisor)
This diploma thesis deals with an oriented graph processing applying a multi-agent system designated for traffic simulation. The thesis was written as a research study. Based on the study, a simulation environment was created able to respond to various stimuli. Meant as the agents, there are vehicles and their drivers that have various features, based on which they respond to the given stimuli. Communication is conducted via a so-called super-agent that monitors all action on the map and passes this information on particular agents. The agents are able to respond in advance to traffic jams (closures, accidents). In such situations, an algorithm designated for a new route finding is conducted. Besides the controlled ones, there can operate on the map also agents simulating common traffic.
Performance tests of cryptographic algorithms
Pospíšil, Karel ; Martinásek, Zdeněk (referee) ; Sobotka, Jiří (advisor)
Bachelor's thesis deals with analysis of the various cryptographic algorithms that are used for securing communications. The first part is devoted to symmetrical cryptographic algorithms, asymmetric cryptographic algorithms and hashing functions. The second part deals with the security classification and attacks that are used to attack cryptographic algorithms and hash function. The third part deals with the selected testing algorithm RC4 and MD5 hashed function for using CrypTool. The final section provides an evaluation and test results of algorithm RC4 and MD5 hashing function.
Composite Subband Adaptive Speech Enhancement
Hovorka, Jaroslav ; Vlček, Čestmír (referee) ; Křesálek,, Vojtěch (referee) ; Sysel, Petr (advisor)
The thesis deals with single channel and multiple channel algorithms for speech enhancement. The goal of this work is to perform the deep analysis of both single channel and multiple channel algorithms in sense of their behaviour in noisy environment of combat vehicles and platforms. Based on this analysis a new composite speech enhancement algorithm will be designed. This new approach is expected to increase quality of the processed speech in military communications systems. These systems are characterised by their operation under very noisy conditions where background noise is very high and signal-to-noise ratio extremely low. These noisy conditions are typical for the range of military and combat platforms and vehicles.
Application of distributed and stochastic algorithms in network.
Yarmolskyy, Oleksandr ; Kenyeres, Martin (referee) ; Novotný, Bohumil (advisor)
This thesis deals with the distributed and stochastic algorithms including testing their convergence in networks. The theoretical part briefly describes above mentioned algorithms, including their division, problems, advantages and disadvantages. Furthermore, two distributed algorithms and two stochastic algorithms are chosen. The practical part is done by comparing the speed of convergence on various network topologies in Matlab.
Scrabble for Mobil Phones
Kaněčka, Ondřej ; Kunc, Michael (referee) ; Schönecker, Rudolf (advisor)
This paper deals with an usage of searching algorithms and lexical data structures for platforms with limited computing power and accessible memory (celluar phones and similar) in SCRABBLE brand crossword game. There are also shown its advantages and disadvantages on this platform. The Appel-Jacobson searching algorithm is used to search possible moves. The lexicon with all words is available for this algorithm. It's stored in Directed Acyclic Word Graph (DAWG), which provides fast data searching and data compression too, so the size of the lexicon is comparatively small considering the target platform. The final Java application for celluar phones (MIDP 2.0) adds graphical interface and game control so it provides playing SCRABBLE brand crossword game against artificial intelligence or against human.
Advanced methods of mobile robot path planning
Maňáková, Lenka ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
This work is focused on advanced methods of mobile robot's path planning. The theoretical part describes selected graphical methods, which are useful for speeding up the process of finding the shortest paths, for example through reduction of explored nodes of the state space. In the practical part was created simulate environment in the Python language and in this environment, selected algorithms was implemented.
Knowledge Discovery in Text
Smékal, Luděk ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This MSc Thesis handles with so-called data mining. Data mining is about obtaining some data or informations from databases, where these data or informations are not directly visible, but they are accessible by using special algorithms. This MSc Thesis mainly aims documents clasifying by selected method in scope of digital library. The selected method is based on sets of items called "itemsets method". This method extends Apriori algorithm application field originally designed for transaction databases processing and generation of sets of frequented items.

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