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Interception of Modern Encrypted Protocols
Marček, Ján ; Korček, Pavol (referee) ; Kajan, Michal (advisor)
This thesis deals with the introduction to the security mechanism.The procedure explains the basic concepts, principles of cryptography and security of modern protocols and basic principles that are used for information transmission network. The work also describes the most common types of attacks targeting the eavesdropping of communication. The result is a design of the eavesdropping and the implementation of an attack on the secure communication of the SSL protocol..The attacker uses a false certificate and attacks based on poisoning the ARP and DNS tables for this purpose. The thesis discusses the principles of the SSL protocol and methodology of attacks on the ARP and DNS tables.
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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.
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The Comparison of the Algorithms for the Solution of Travel Sales Problem
Kopřiva, Jan ; Všetička, Martin (referee) ; Dostál, Petr (advisor)
The Master Thesis deals with logistic module innovation of information system ERP. The principle of innovation is based on implementation of heuristic algorithms which solve Travel Salesman Problems (TSP). The software MATLAB is used for analysis and tests of these algorithms. The goal of Master Thesis is the comparison of selections algorithm, which are suitable for economic purposes (accuracy of solution, speed of calculation and memory demands).
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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.
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Multichannel Image Deconvolution
Bradáč, Pavel ; Kolář, Radim (referee) ; Jiřík, Radovan (advisor)
This Master Thesis deals with image restoration using deconvolution. The terms introducing into deconvolution theory like two-dimensional signal, distortion model, noise and convolution are explained in the first part of thesis. The second part deals with deconvolution methods via utilization of the Bayes approach which is based on the probability principle. The third part is focused on the Alternating Minimization Algorithm for Multichannel Blind Deconvolution. At the end this algorithm is written in Matlab with utilization of the NAG C Library. Then comparison of different optimization methods follows (simplex, steepest descent, quasi-Newton), regularization forms (Tichonov, Total Variation) and other parameters used by this deconvolution algorithm.
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Ant colony
Hart, Pavel ; Hynčica, Ondřej (referee) ; Honzík, Petr (advisor)
First part of the thesis is about literature research of optimization algorithms. Three of the algorithms were implemented and tested, concretely the ant colony algorithm, tabu search and simulated annealing. All three algorithms were implemented to solve the traveling salesman problem. In second part of the thesis the algorithms were tested and compared. In last part the influence of the ant colony parameters was evaluated.
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Automatic face and facial feature detection
Krolikowski, Martin ; Kohoutek, Michal (referee) ; Přinosil, Jiří (advisor)
The master thesis presents an overview of face detection task in color, static images. Face detection term is posed in the context of various branches. Main concepts of face detection and also their relationships are described. Individual approaches are divided into groups and then define in turn. In the thesis is in detail described algorithm AdaBoost, which is selected on the basis of its properties. Especially speed of computation and good detection results are key features. In the scope of this work Viola-Jones detector was implemented. This detector was trained with face pictures from public accessible database. Combination of Viola-Jones detector with simple color detector is described. In the thesis is also presented experiment approach to facial features detection.
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Application of Voronoi Diagrams in Robot Motion Planning
Chaloupka, Luděk ; Dvořák, Jiří (referee) ; Šeda, Miloš (advisor)
This bachelor thesis is focused on the theme of robot motion planning. The motion of dimensionless (i.e. point) robot without any restriction of motion and on the stage with static obstacles (also point) forms the fundamental issue of the thesis. The thesis also contains the implementation of presented algorithm of given level of exercises and definition of appropriate method.
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Optimization of Multilayer Perceptron Training Parameters Using Artificial Bee Colony and Genetic Algorithm
Kartci, A.
In this paper, the momentum coefficient, learning rate, and the number of hidden neurons where the multilayer perceptron works best, are determined. The network and optimization algorithms are written in MATLAB, which was also successfully used to carry out results. To obtain the results, IRIS, mammographic_mass, and new_thyroid data sets have been used. Obtained results show that the determining effect on the neural learning process of parameters (momentum coefficient, learning rate, number of hidden neurons) are compatible with other approaches available in the literature. Both genetic algorithm (GA) and artificial bee colony (ABC) algorithm were successful on finding the values to get high performance as well as effect on performance of the population number.
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Optimization of logistics and business processes in Bookretail s.r.o.
Hollayová, Nela ; Zouhar, Jan (advisor) ; Kuncová, Martina (referee)
The subject of the thesis is the optimization of one the key processes in a book company, namely warehouse logistics. This problem consist of two parts; first part focuses on route optimization of completion of customers' orders on daily basis, second part focuses on assigning of storage subsystems and their interconnection. The proposed solution uses a traveller salesman problem implemented into intranet application. Second problem was designed as quadratic assignment problem with use of ex post data analysis. On the basis of achieved results, we presented effective procedures for solving both of aforementioned problems and suggested their implementation into the company's enterprise resource planning system. Keywords:
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