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Modelling of parametric arterial input function in perfusion imaging
Černý, Štěpán ; Jiřík, Radovan (referee) ; Kratochvíla, Jiří (advisor)
The task of this bachelor’s tesis is to study the subject in the area of perfusion imaging based on dynamic imaging with T1 contrast. Aims is primarily on the role of the arterial input function. Principles phenomenon of dynamic magnetic resonance measurements are discribed. The role of contrast media and their influence on the relaxation time T1 are described. It is also described problems perfusion analysis, measurement and mathematical modeling of arterial input function and perfusion acquisition parameters. In the experimental part, there is modeled several models of arterial input function and their evaluation. Further the creation program for the approximation real measurement of arterial input function created models and the integration of this program into a graphical interface created for work with models. Was also verified the functionality of the program and evaluate the success of approximations for individual models.
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Adaptive controller with continuous system identification
Horňan, Bohdan ; Švarc, Ivan (referee) ; Lang, Stanislav (advisor)
This bachelor thesis is focused on the issue of adaptive controllers. It is divided into two parts: theoretical and practical. The theoretical part deals with identification methods of dynamic systems and methods of optimizing parameters of controllers. In the practical part is designed an adaptive self-tuning controller that is able to adapt to changes of parameters of the plant. The recursive least square method is used to determine a transfer function of the plant. Software solution of the adaptive controller is implemented in Matlab & Simulink.
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Adaptive controller with continuous system identification
Horňan, Bohdan ; Švarc, Ivan (referee) ; Lang, Stanislav (advisor)
This bachelor thesis is focused on the issue of adaptive controllers. It is divided into two parts: theoretical and practical. The theoretical part deals with identification methods of dynamic systems and methods of optimizing parameters of controllers. In the practical part is designed an adaptive self-tuning controller that is able to adapt to changes of parameters of the plant. The recursive least square method is used to determine a transfer function of the plant. Software solution of the adaptive controller is implemented in Matlab & Simulink.
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Optimization of assembly line parameters
HODIÁNEK, Pavel
The introductory part of this thesis is theoretical. Here I deal with the standards that the automotive must follow. I describe also basic concepts, division of production, assembly lines and layout of single work positions. In the next part I deal with modifications of the workplace, its release for production and the SMED method. In the practical part I analyze the current process of re-assembly of the assembly line and then I create suggestions for its optimization.
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Modelling of parametric arterial input function in perfusion imaging
Černý, Štěpán ; Jiřík, Radovan (referee) ; Kratochvíla, Jiří (advisor)
The task of this bachelor’s tesis is to study the subject in the area of perfusion imaging based on dynamic imaging with T1 contrast. Aims is primarily on the role of the arterial input function. Principles phenomenon of dynamic magnetic resonance measurements are discribed. The role of contrast media and their influence on the relaxation time T1 are described. It is also described problems perfusion analysis, measurement and mathematical modeling of arterial input function and perfusion acquisition parameters. In the experimental part, there is modeled several models of arterial input function and their evaluation. Further the creation program for the approximation real measurement of arterial input function created models and the integration of this program into a graphical interface created for work with models. Was also verified the functionality of the program and evaluate the success of approximations for individual models.
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