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Discovery of Wireless Sensor Network Topology Using Genetic Algorithms
Dalecký, Štěpán ; Samek, Jan (referee) ; Zbořil, František (advisor)
The thesis deals with a design of the genetic algorithm that is able to discover the wireless sensor network topology using signal strength among particular sensors. At first, the thesis describes the theory of genetic algorithm and wireless sensor network. Subsequently, on the basis of this theory, the genetic algorithm serving for the wireless sensor network topology discovery has been designed. The thesis also describes important features of the algorithm implementation. In conclusion, the outcomes have been reviewed.
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City Traffic Simulator
Dostál, Martin ; Dalecký, Štěpán (referee) ; Rozman, Jaroslav (advisor)
This thesis is focused on microsimulation of city traffic, specifically a small city circuit in Brno. The thesis describes approaches for solving the problem of road network representation and presents basic methods and models needed for traffic simulation on the level of individual vehicles control as well as on the level of simulator control. In the case of more possible solutions to the given problem, the features and suitability of these solutions are compared. In the practical part of the thesis, the structure of the proposed simulator is presented with all the dependencies among individual submodels, along with the description of implementation details related to the individual parts.
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Study of Using Wearable Devices
Hlavačka, Martin ; Dalecký, Štěpán (referee) ; Samek, Jan (advisor)
In recent years, the amount of wearables and level of their interaction with users is constantly increasing and deepening. This fact is followed by this thesis, in which I aimed on creating a overview study of best known and available devices on the market. In subsequent chapters the various options available for developing applications for these devices are analyzed. Based on the acquired knowledge content also contains development of demonstration app for the selected smartwatch Motorola Moto 360 sport. Created overview and analysis of development options provide knowledge for orientating and information required either for selection of wearable device or software development for it.
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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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Comparison of Libraries of Artificial Neural Networks
Dohnal, Zdeněk ; Zbořil, František (referee) ; Dalecký, Štěpán (advisor)
This thesis is about comparison of libraries of artificial neural networks. Basic theory of neuron, neural networks and their learning algorithms are explained here. Multilayer perceptron, Self organizing map and Hopfield net are chosen for experiments. Criteria of comparison such as licence, community or last actualization are designed. Approximation of function, association and clustering are chosen as task for experiments. After that, there is implementation of applications using chosen libraries. At the end, result of comparison and experiment are evaluated.
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Constructive Neural Networks
Černík, Tomáš ; Dalecký, Štěpán (referee) ; Zbořil, František (advisor)
Master theses deals with Constructive Neural newtorks. First part describes neural networks and coresponding mathematical models. Furher, it shows basic algorithms for learning neural networks and desribes basic constructive algotithms and their modifications. The second part deals with implementation details of selected algorithms and provides their comparision. Further comparision with backpropagation algorithm is provided.
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Study of Using Wearable Devices
Hlavačka, Martin ; Dalecký, Štěpán (referee) ; Samek, Jan (advisor)
In recent years, the amount of wearables and level of their interaction with users is constantly increasing and deepening. This fact is followed by this thesis, in which I aimed on creating a overview study of best known and available devices on the market. In subsequent chapters the various options available for developing applications for these devices are analyzed. Based on the acquired knowledge content also contains development of demonstration app for the selected smartwatch Motorola Moto 360 sport. Created overview and analysis of development options provide knowledge for orientating and information required either for selection of wearable device or software development for it.
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Constructive Neural Networks
Černík, Tomáš ; Dalecký, Štěpán (referee) ; Zbořil, František (advisor)
Master theses deals with Constructive Neural newtorks. First part describes neural networks and coresponding mathematical models. Furher, it shows basic algorithms for learning neural networks and desribes basic constructive algotithms and their modifications. The second part deals with implementation details of selected algorithms and provides their comparision. Further comparision with backpropagation algorithm is provided.
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City Traffic Simulator
Dostál, Martin ; Dalecký, Štěpán (referee) ; Rozman, Jaroslav (advisor)
This thesis is focused on microsimulation of city traffic, specifically a small city circuit in Brno. The thesis describes approaches for solving the problem of road network representation and presents basic methods and models needed for traffic simulation on the level of individual vehicles control as well as on the level of simulator control. In the case of more possible solutions to the given problem, the features and suitability of these solutions are compared. In the practical part of the thesis, the structure of the proposed simulator is presented with all the dependencies among individual submodels, along with the description of implementation details related to the individual parts.
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Discovery of Wireless Sensor Network Topology Using Genetic Algorithms
Dalecký, Štěpán ; Samek, Jan (referee) ; Zbořil, František (advisor)
The thesis deals with a design of the genetic algorithm that is able to discover the wireless sensor network topology using signal strength among particular sensors. At first, the thesis describes the theory of genetic algorithm and wireless sensor network. Subsequently, on the basis of this theory, the genetic algorithm serving for the wireless sensor network topology discovery has been designed. The thesis also describes important features of the algorithm implementation. In conclusion, the outcomes have been reviewed.
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