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Social Network Analysis and Simulations
Vorlová, Pavla ; Král, Jiří (referee) ; Samek, Jan (advisor)
This diploma thesis is focusing on description of processing social network analysis, design and implementation of a model that simulates a particular social network and its analysis. Social networks are modern and very used in this time. They are very good point for exploring. This project deal with static analysis social network, where social network is constructed by graph. We nd out di erent properties of single component and than we establish signi cance of them. Relationships between components are important too for us, because they have a big influence on propagation information in network. Structural properties figure out existence of di fferent communities. We simulate social network with multi-agent systems, they are desirable for represent changes in network. Multi-agent systems have implemented a simulation model that represents a particular social network. His behaviour was analyzed and examinated by chosen methods.
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Auto-Generation of Examples for Assembly Languages Course
Tomeček, Aleš ; Žák, Jakub (referee) ; Samek, Jan (advisor)
{This study analyses approaches to generation of unique assignments for teaching purposes and their potential usefulness for computer labs of assemblers course. Based on that research we design and implement system for creating pseudo unique assignments. As part of the work is also included web application for use directly during course and other tools aiding further work with system itself.
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Multiagent Simulation Model for Flight Squadrons
Šalbaba, Vojtěch ; Samek, Jan (referee) ; Zbořil, František (advisor)
This thesis deals with designing a model for simulation and visualisation of air combat tactics. It introduces air combat environment and describes a process for its modeling. Thesis describes basics of air combat, its principles and importance of chosen tactics. Using Jason programming language, artificial agents are created and chosen tactics are implemented. The process of implementing tacitcs is described from analysis to final implementation. Finaly, various types of agents are tested in mock combat against each other.
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Wireless Sensor Networks Based on Mobile Devices
Dorazil, Jan ; Žák, Jakub (referee) ; Samek, Jan (advisor)
This master's thesis deals with the idea of using mobile devices as sensor nodes in wireless sensor network. Focused mostly on Android platform, we explore possibilities of wireless communication, and describe various types of sensors on mobile devices. We design and implement wireless sensor network based on mobile devices running Android operating system. The network performs real-time capturing of data from all sensors available and optionally from GPS. All measurements are visualized at the base station, which is Java Standard Edition desktop application. Wi-Fi, Bluetooth or even cellular internet can be used for communication within the network. Nodes can be remotely configured via SMS messages.
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Datamining of Relevenat Information from WWW with Using Social Networks
Smolík, Jakub ; Zelený, Jan (referee) ; Samek, Jan (advisor)
This thesis focuses on solving problems related to searching of relevant data on the internet. In text is presented possible solution in form of application capable of automated extraction and aggregation of data from web and their presentation, based on input key words. For this purpouse there were studied and discribed possibilities of automated extraction from three chosen data types, mainly used as data storages on the internet. Furthermore it focuses on ways of data mining from social networks. As a result it pressents planning, implementation, realization and testing of created appliation which can easily find, display and let user easy access searched informations.
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Path Planning of Airplane with Obstacles
Očenáš, Marek ; Zbořil, František (referee) ; Samek, Jan (advisor)
The aim of this master's thesis is the implementation of optimal trajectory planning for an airplane flying in lower altitudes, which has to avoid collision with obstacles. For the planning we assume static and fully known environment. There are described principals, optimality and complexity for some chosen methods of planning in this thesis. And based on the methods' characteristics it's chosen the best method for implementation.
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Analysis of Various Approaches to Solving Optimization Tasks
Knoflíček, Jakub ; Samek, Jan (referee) ; Zbořil, František (advisor)
This paper deals with various approaches to solving optimization tasks. In prolog some examples from real life that show the application of optimization methods are given. Then term optimization task is defined and introducing of term fitness function which is common to all optimization methods follows. After that approaches by particle swarm optimization, ant colony optimization, simulated annealing, genetic algorithms and reinforcement learning are theoretically discussed. For testing we are using two discrete (multiple knapsack problem and set cover problem) and two continuous tasks (searching for global minimum of Ackley's and Rastrigin's function) which are presented in next chapter. Description of implementation details follows. For example description of solution representation or how current solutions are changed. Finally, results of measurements are presented. They show optimal settings for parameters of given optimization methods considering test tasks. In the end are given test tasks, which will be used for finding optimal settings of given approaches.
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Software Library for Artificial Neural Networks with Acceleration Using GPU
Trnkóci, Andrej ; Samek, Jan (referee) ; Zbořil, František (advisor)
Artificial neural networks are demanding to computational power of a computer. Increasing their learning speed could mean new posibilities for research or aplication of the algorithm. And that is a purpose of this thesis. The usage of graphics processing units for neural networks learning is one way how to achieve above mentioned goals. This thesis is offering a survey of theoretical background and consequently implementation of a software library for neural networks learning with a Backpropagation algorithm with a support of acceleration on graphics processing unit.
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CAPTCHA Recognition
Klika, Jan ; Samek, Jan (referee) ; Rozman, Jaroslav (advisor)
This thesis describes the design and implementation of an application for breaking the CAPTCHA. It also describes the history and evolution of CAPTCHA and the ways of its generating and possible techniques of its breaking. This thesis focuses on the new types of CAPTCHA, based on hard character segmentation. So the main target of this thesis is the design and implementation of the new segmentation method, allowing the recognition of modern CAPTCHAs, especially reCAPTCHA.
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Neural-Fuzzy Systems
Dalecký, Štěpán ; Samek, Jan (referee) ; Zbořil, František (advisor)
The thesis deals with artificial neural networks theory. Subsequently, fuzzy sets are being described and fuzzy logic is explained. The hybrid neuro-fuzzy system stemming from ANFIS system is designed on the basis of artificial neural networks, fuzzy sets and fuzzy logic. The upper-mentioned systems' functionality has been demonstrated on an inverted pendulum controlling problem. The three controllers have been designed for the controlling needs - the first one is on the basis of artificial neural networks, the second is a fuzzy one, and the third is based on ANFIS system. The thesis is aimed at comparing the described systems, which the controllers have been designed on the basis of, and evaluating the hybrid neuro-fuzzy system ANFIS contribution in comparison with particular theory solutions. Finally, some experiments with the systems are demonstrated and findings are assessed.
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