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Computer support realization of symbolic models in MATLAB
Valová, Alena ; Věchet, Stanislav (referee) ; Březina, Tomáš (advisor)
The aim of the bachelor's thesis is description of the functions tf (transfer function), ss (state space) and ss2ss (similarity transformation) that occurs in the programming language Matlab in the Control System Toolbox, and their subsequent implementation in the environment of programming language Matlab using the Symbolic Math Toolbox. This thesis is focused to implementation of algorithms that can solve these functions symbolically. By connection and reunification programs, functions can be converted from one form to another. The library is useful for teaching automation.
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Optimal methods for sparse data exchange in sensor networks
Valová, Alena ; Poměnková, Jitka (referee) ; Rajmic, Pavel (advisor)
This thesis is focused on object tracking by a decentralized sensor network using fusion center-based and consensus-based distributed particle filters. The model includes clutter as well as missed detections of the object. The approach uses sparsity of global likelihood function, which, by means of appropriate sparse approximation and the suitable dictionaty selection can significantly reduce communication requirements in the decentralized sensor network. The master's thesis contains a design of exchange methods of sparse data in the sensor network and a comparison of the proposed methods in terms of accuracy and energy requirements.
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City Library of Přerov
Valová, Alena ; Pechman, Tomáš (referee) ; Sochor, Jan (advisor)
The aim of this project is to properly implement the new library building in the territory. It also brings new value for the people of the borough. With the integration of library functions improves the life of the borough.
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Optimal methods for sparse data exchange in sensor networks
Valová, Alena ; Poměnková, Jitka (referee) ; Rajmic, Pavel (advisor)
This thesis is focused on object tracking by a decentralized sensor network using fusion center-based and consensus-based distributed particle filters. The model includes clutter as well as missed detections of the object. The approach uses sparsity of global likelihood function, which, by means of appropriate sparse approximation and the suitable dictionaty selection can significantly reduce communication requirements in the decentralized sensor network. The master's thesis contains a design of exchange methods of sparse data in the sensor network and a comparison of the proposed methods in terms of accuracy and energy requirements.
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City Library of Přerov
Valová, Alena ; Pechman, Tomáš (referee) ; Sochor, Jan (advisor)
The aim of this project is to properly implement the new library building in the territory. It also brings new value for the people of the borough. With the integration of library functions improves the life of the borough.
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Computer support realization of symbolic models in MATLAB
Valová, Alena ; Věchet, Stanislav (referee) ; Březina, Tomáš (advisor)
The aim of the bachelor's thesis is description of the functions tf (transfer function), ss (state space) and ss2ss (similarity transformation) that occurs in the programming language Matlab in the Control System Toolbox, and their subsequent implementation in the environment of programming language Matlab using the Symbolic Math Toolbox. This thesis is focused to implementation of algorithms that can solve these functions symbolically. By connection and reunification programs, functions can be converted from one form to another. The library is useful for teaching automation.
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Development of Smart Cities in the region of Latin America
Valová, Alena ; Macháček, Jaroslav (advisor) ; Těšitel, Jan (referee)
The aim of the thesis Development of Smart Cities in the region of Latin America applied on the case of Mexico City and Rio de Janeiro stands on their comparison provided according to application of six axes smart city concept. Both cities provide their individual approach in their formulation and implementation of smart city initiative. According to this comparison this paper will prove that even though that there is not yet a uniform smart city definition there are indicators according to which it is possible to form a general a framework to identify smart cities. This framework will be important to prove several things about smart cities. They will be necessary for the future growth of humanity as cities become more and more important. This will happen by allowing for better functioning of cities and better use of existing resources. These cities will start to operate for their citizens in ways that lessen the impact of the environment while allowing cities to grow across multiple sectors while improving quality of life among a city s residents. This implementation of ITC technologies will prove a rising tide that will lift the city s poor by empowering their economic lives by improving quality of life and giving better access to resources. The comparison of the two cities will also prove that Rio de Janeiro through its many smart initiatives is further along in its path to becoming a smart city than Mexico City. The difference between the two will also prove just how important smart cities are to the region s future. Mexico City s projects have not been as holistic as those taken in Brazil s largest city. Rio de Janeiro s implementation of projects like COR have transformed the city allowing it to become one of the smartest cities in the region and the world. The COR has implemented ITC technologies and initiatives that have transformed every sector of the six-axes approach model.
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