J
Jiri Koziorek
Researcher at Technical University of Ostrava
Publications - 95
Citations - 736
Jiri Koziorek is an academic researcher from Technical University of Ostrava. The author has contributed to research in topics: Control system & Distributed control system. The author has an hindex of 14, co-authored 83 publications receiving 555 citations. Previous affiliations of Jiri Koziorek include Technical University of Košice & University of Ostrava.
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Journal ArticleDOI
Quality-enabled decentralized IoT architecture with efficient resources utilization
Jozef Mocnej,Adrian Pekar,Winston K. G. Seah,P. Papcun,Erik Kajati,Dominika Cupkova,Jiri Koziorek,Iveta Zolotova +7 more
TL;DR: A novel representation model is introduced that is destined for monitoring the IoT environment at runtime, expressing the overall quality of the system, and helping to utilize the available resources efficiently and encourage the efficient utilization of resources and simplify the production of next-generation IoT solutions.
Journal ArticleDOI
Development and testing of a visualization application software, implemented with wireless control system in smart home care
TL;DR: A method to test the reliability of the created software application as well as the wireless xComfort system under different conditions which stimulate different implementation methods applicable to a real building/apartment unit is proposed.
Proceedings ArticleDOI
Human Machine Interface in Concept of Industry 4.0
TL;DR: This paper describes this evolution of the Human Machine Interface from buttons and diodes in control rooms, through web visualization to cognitive and intelligent space and provides examples of solutions or case studies for every generation.
Journal ArticleDOI
Optimisation of experimental operation of borehole thermal energy storage
TL;DR: In this article, an in-situ experiment on a borehole thermal energy storage (BTES) from combined heat and power production (CHP) has been in operation on the site of Green Gas DPB in Paskov (the Czech Republic) for more than three years.
Journal ArticleDOI
Novel hybrid extraction systems for fetal heart rate variability monitoring based on non-invasive fetal electrocardiogram
TL;DR: The study showed that I CA-RLS-WT hybrid system achieve better results than ICA-ANFIS-WT, which is a combination of independent component analysis (ICA), adaptive neuro-fuzzy inference system (ANfIS), or recursive least squares (RLS) algorithm and wavelet transform (WT) algorithm.