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Portability of Distributed Computing in Cloud Infrastructures
Duong, Cuong Tuan ; Ondrák, Viktor (referee) ; Kříž, Jiří (advisor)
The master’s thesis focuses on analysis of solution to distributed computing of metage-nomics data in cloud infrastructures. It describes specific META-pipe platform based onclient-server architecture in infrastructure of public academic cloud EGI Federated Cloud,sponsored by european project ELIXIR-EXCELERATE. Thesis is focusing especially onopen-source software like Terraform and Ansible.
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Filtering EEG signals
Pohludka, Aleš ; Ronzhina, Marina (referee) ; Potočňák, Tomáš (advisor)
This work describes basics of electroencephalography, measuring methods of electroencephalographic signals, their processing and especially their filtration. The most basic normalised international system for measuring EEG from the scalp is described. The end of theoretical part is dedicated to the most frequent artifacts. The practical part deals with testing two methods based on adaptive filtration of reference EOG signals using the LMS algorithm. Further in the paper are presented tests of before mentioned methods and their verification in practice on gathered signals from volunteers. At the conclusion there is an evaluation of the methods used.
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Portability of Distributed Computing in Cloud Infrastructures
Duong, Cuong Tuan ; Ondrák, Viktor (referee) ; Kříž, Jiří (advisor)
The master’s thesis focuses on analysis of solution to distributed computing of metage-nomics data in cloud infrastructures. It describes specific META-pipe platform based onclient-server architecture in infrastructure of public academic cloud EGI Federated Cloud,sponsored by european project ELIXIR-EXCELERATE. Thesis is focusing especially onopen-source software like Terraform and Ansible.
|
|
|
Filtering EEG signals
Pohludka, Aleš ; Ronzhina, Marina (referee) ; Potočňák, Tomáš (advisor)
This work describes basics of electroencephalography, measuring methods of electroencephalographic signals, their processing and especially their filtration. The most basic normalised international system for measuring EEG from the scalp is described. The end of theoretical part is dedicated to the most frequent artifacts. The practical part deals with testing two methods based on adaptive filtration of reference EOG signals using the LMS algorithm. Further in the paper are presented tests of before mentioned methods and their verification in practice on gathered signals from volunteers. At the conclusion there is an evaluation of the methods used.
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