Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Attila Franko"'
Autor:
Pal Varga, Sándor Bácsi, Ravi Sharma, Abdulhalim Fayad, Ali Raheem Mandeel, Gabor Soos, Attila Franko, Tibor Fegyo, Dániel Ficzere
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7600 (2022)
The Industry 4.0 initiative has been showing the way for industrial production to optimize operations based on collecting, processing, and sharing data. There are new requirements on the production floor: flexible but ultra-reliable, low latency wire
Externí odkaz:
https://doaj.org/article/ae8e0aaf82d647e58617fb0151416c73
Autor:
Pal Varga, Jozsef Peto, Attila Franko, David Balla, David Haja, Ferenc Janky, Gabor Soos, Daniel Ficzere, Markosz Maliosz, Laszlo Toka
Publikováno v:
Sensors, Vol 20, Iss 3, p 828 (2020)
Industrial IoT has special communication requirements, including high reliability, low latency, flexibility, and security. These are instinctively provided by the 5G mobile technology, making it a successful candidate for supporting Industrial IoT (I
Externí odkaz:
https://doaj.org/article/cec5b396ad124bc5bac10671106a72de
Publikováno v:
2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS).
Autor:
Aleš Kancilija, Csaba Hegedűs, Alberto Sillitti, Pal Varga, István Moldován, Mario Riccardi, Attila Franko, Marjan Sterk, Špela Poklukar, Salvatore Esposito, Gregor Papa
Publikováno v:
Electronics, Vol 9, Iss 1260, p 1260 (2020)
Electronics
Volume 9
Issue 8
Electronics
Volume 9
Issue 8
A strong necessity for faster mass transport with high capacities and frequent runs has put pressure on railway infrastructure. These changes require an improvement in the maintenance activities that need to be planned carefully to reduce as much as
Publikováno v:
Sensors, Vol 20, Iss 3709, p 3709 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 13
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 13
Revolutionizing logistics and supply chain management in smart manufacturing is one of the main goals of the Industry 4.0 movement. Emerging technologies such as autonomous vehicles, Cyber-Physical Systems and digital twins enable highly automated an
Autor:
David Balla, Ferenc Nandor Janky, Pal Varga, Gabor Soos, Attila Franko, Laszlo Toka, Jozsef Peto, Markosz Maliosz, Daniel Ficzere, David Haja
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 3, p 828 (2020)
Sensors
Volume 20
Issue 3
Sensors, Vol 20, Iss 3, p 828 (2020)
Sensors
Volume 20
Issue 3
Industrial IoT has special communication requirements, including high reliability, low latency, flexibility, and security. These are instinctively provided by the 5G mobile technology, making it a successful candidate for supporting Industrial IoT (I
Publikováno v:
ICPS
Reaching the targets of the Industry 4.0 movement requires serious efforts for the technology adapters. These include the digitization of their industrial processes, the integration of telemetry data collection methods, managing status updates within
Publikováno v:
ICPS
The concept of local automation clouds was first initiated by the Arrowhead framework in order to cover special requirements of the Industrial Internet of Things domain. The security, real-time, and engineering requirements are tackled in local cloud
Autor:
Alberto Sillitti, Aleš Kancilija, Attila Franko, Csaba Hegedus, István Moldován, Špela Poklukar, Gregor Papa, Mario Riccardi, Pal Varga, Paolo Ciancarini
Publikováno v:
2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)
CoDIT
CoDIT
Railway switches operate in harsh environmental conditions; still, their reliability requirements are high due to safety and economic factors. Once deployed, their maintenance depends on the data collected on their status, and the decisions on due co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1b8b8cfb1f20afddd18343ce78e9c0f
http://hdl.handle.net/11585/673603
http://hdl.handle.net/11585/673603
Publikováno v:
Sensors, Vol 22, Iss 23, p 9148 (2022)
Industrial IoT (IIoT) has revolutionized production by making data available to stakeholders at many levels much faster, with much greater granularity than ever before. When it comes to smart production, the aim of analyzing the collected data is usu
Externí odkaz:
https://doaj.org/article/06fd8ac0d0ab49ff85ca9ce0f2506a8a