Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Petr Zmij"'
Publikováno v:
IEEE Access, Vol 11, Pp 44192-44204 (2023)
Edge computing is becoming a mainstream platform for practical applications of machine learning and in particular deep learning. Many systems capable of efficient execution of deep neural models in the context of edge computing are readily available
Externí odkaz:
https://doaj.org/article/48567f7ff7ca4e6abfab83b4909776f6
Autor:
Sharmila Devi, Anju Sangwan, Anupma Sangwan, Mazin Abed Mohammed, Krishna Kumar, Jan Nedoma, Radek Martinek, Petr Zmij
Publikováno v:
Sensors, Vol 22, Iss 18, p 7009 (2022)
Wireless Sensor Networks (WSNs) enhance the ability to sense and control the physical environment in various applications. The functionality of WSNs depends on various aspects like the localization of nodes, the strategies of node deployment, and a l
Externí odkaz:
https://doaj.org/article/ee8cded857a44d009621258bd0e7bffa
Autor:
Abdullah Lakhan, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Mustafa Musa Jaber, Jan Nedoma, Radek Martinek, Petr Zmij
Publikováno v:
Sensors, Vol 22, Iss 16, p 5937 (2022)
Over the last decade, the usage of Internet of Things (IoT) enabled applications, such as healthcare, intelligent vehicles, and smart homes, has increased progressively. These IoT applications generate delayed- sensitive data and requires quick resou
Externí odkaz:
https://doaj.org/article/3e9e45d3b71544219f5c67ad6ffc8020
Publikováno v:
Sensors, Vol 22, Iss 14, p 5327 (2022)
In healthcare, there are rapid emergency response systems that necessitate real-time actions where speed and efficiency are critical; this may suffer as a result of cloud latency because of the delay caused by the cloud. Therefore, fog computing is u
Externí odkaz:
https://doaj.org/article/5c99fbd295b24ea4a5bf0cdf393a1f16
Autor:
Tereza Paterova, Michal Prauzek, Jaromir Konecny, Stepan Ozana, Petr Zmij, Martin Stankus, Dieter Weise, Alexander Pierer
Publikováno v:
Sensors, Vol 21, Iss 23, p 8098 (2021)
Energy harvesting has an essential role in the development of reliable devices for environmental wireless sensor networks (EWSN) in the Internet of Things (IoT), without considering the need to replace discharged batteries. Thermoelectric energy is a
Externí odkaz:
https://doaj.org/article/f8116731b5db4116a61b859a08059f81
Autor:
Marcel Fajkus, Jan Nedoma, Radek Martinek, Michael Fridrich, Emil Bednar, Stanislav Zabka, Petr Zmij
Publikováno v:
Sensors, Vol 21, Iss 15, p 5158 (2021)
The publication describes the design, production, and practical verification of an alternative pressure sensor suitable for measuring the pressure of gas, based on a combination of fiber-optic technology and 3D printing methods. The created sensor us
Externí odkaz:
https://doaj.org/article/e2b6928b443141cc8d28a83706133c21
Autor:
Rene Jaros, Radek Byrtus, Jakub Dohnal, Lukas Danys, Jan Baros, Jiri Koziorek, Petr Zmij, Radek Martinek
Publikováno v:
Archives of Computational Methods in Engineering. 30:1553-1577
Condition monitoring of induction motors (IM) among with the predictive maintenance concept are currently among the most promising research topics of manufacturing industry. Production efficiency is an important parameter of every manufacturing plant
Autor:
Jan Nedoma, Michael Fridrich, Emil Bednar, Stanislav Zabka, Marcel Fajkus, Petr Zmij, Radek Martinek
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 5158, p 5158 (2021)
Sensors, Vol 21, Iss 5158, p 5158 (2021)
The publication describes the design, production, and practical verification of an alternative pressure sensor suitable for measuring the pressure of gas, based on a combination of fiber-optic technology and 3D printing methods. The created sensor us