FORA - Fog Computing for Robotics and Industrial Automation
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FORA is a European Training Network (ETN), which will fund and train 15 PhD candidates in the area of Fog Computing, during the period 2017-2021. Fog Computing, also sometimes called Edge Computing, brings the Cloud “closer to the ground”, to the edge of the network. FORA is an interdisciplinary, international, intersectoral network that will train the next generation of researchers in Fog Computing with applicability to industrial automation and manufacturing.
Outage Performance of Pairwise NOMA Allowing a Dynamic Decoding Order and Optimal Pairs of Power Levels (Nov 2020) Van-Lan Dao, Le-Nam Hoang, Svetlana Girs, Elisabeth Uhlemann IEEE Open Journal of the Communications Society (OJCOMS)
Enabling Fog-based Industrial Robotics Systems (Sep 2020) Shaik Salman, Vaclav Struhar, Van-Lan Dao, Nitin Desai, Zeinab Bakhshi Valojerdi The 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2020)
Fogification of Electric Drives: An industrial use case (Sep 2020) Mohammadreza Barzegaran , Nitin Desai, Jia Qian , Koen Tange , Bahram Zarrin , Paul Pop, Juha Kuusela The 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2020)
Real-time Fog-based Industrial Robotic System: Applications and Challenges (Sep 2020) Shaik Salman, Vaclav Struhar, Zeinab Bakhshi , Van-Lan Dao, Nitin Desai, Alessandro Papadopoulos, Thomas Nolte, Vasileios Karagiannis , Stefan Schulte , Alexandre Venito , Gerhard Fohler The 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2020)
Fog Computing for Augmented Reality: Trends, Challenges and Opportunities (May 2020) Shaik Salman, Taufik Akbar Sitompul, Alessandro Papadopoulos, Thomas Nolte 2020 IEEE International Conference on Fog Computing (ICFC 2020)
A Systematic Migration Methodology for Complex Real-time Software Systems (May 2020) Shaik Salman, Alessandro Papadopoulos, Saad Mubeen, Thomas Nolte The 23rd International Symposium on Real-Time Distributed Computing (ISORC'20)
| Partner | Type |
|---|---|
| Technical University of Denmark | Academic |
| Technische Universität Wien | Academic |
| Technischen Universität Kaiserslautern | Academic |
| ABB AB | Industrial |
| SYSGO | Industrial |
| TTTech Computertechnik AG | Industrial |
| Unibap AB | Industrial |
