A5071927391- Embedded Systems Design Techniques
- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Distributed and Parallel Computing Systems
- Security and Verification in Computing
- Modular Robots and Swarm Intelligence
- Software System Performance and Reliability
- Satellite Communication Systems
- Software Engineering Research
- Advanced Memory and Neural Computing
- CCD and CMOS Imaging Sensors
- Robotics and Automated Systems
- Neural dynamics and brain function
- Advanced MIMO Systems Optimization
- Advanced Data Storage Technologies
- Manufacturing Process and Optimization
- Flexible and Reconfigurable Manufacturing Systems
FZI Research Center for Information Technology
2022-2024
The novel communication 6G requires raw data rates of up to 400 Gbit s− 1 in a single Field Programmable Gate Array (FPGA) front-end. For these high rates, Software Defined Radio (SDR) on multi-core processor reaches performance limit due technical boundaries, clock speeds and overhead multiprocessing. Hence, additional hardware accelerators based Application Specific Integrated Circuits (ASICs) or FPGAs are required process those large amounts data. In this paper, our hardware/software...
In assisted living environments, various situations may arise where a person falls or is otherwise injured and unable to call for help on their own. such situations, it necessary quickly identify the problem take appropriate action, as calling help. This can be supported even automated by using vision-based AI systems. this context, we investigated evaluated different solutions rapid human action recognition. More specifically, trained compared artificial neural networks (ANN) in combination...
Complex edge systems are often structured with service-oriented architectures. Different communications stacks such as MQTT, DDS, or Zenoh used, hindering reuse of service implementations across systems. One emerging solution for deploying services is WebAssembly, which enables platform-independent, secure, and low-overhead execution. We propose a concept integrating Web-Assembly modules into microservice-based architectures using specialized runtime. This runtime manages the communication...
Autonomous and distributed Industrial Internet of Things (IIoT) systems are increasingly developed deployed. They have an enormous demand for resilience availability. At the same time, they in a constantly changing system environment. The underlying edge computing infrastructure is characterized by ever increasing processing power connectivity as well high degree decentralization. To reduce downtime long redesign loops, self-adaptation capabilities needed. Automatic reallocation executed...
In the field of edge computing, improved processing power embedded systems and increasing connectivity between nodes are constantly creating new opportunities for innovation novel applications. Due to complex rapidly changing environment in which these operate, there is a need self-adaptive capabilities. One way react changes operation reallocate tasks different nodes. The highly networked, heterogeneous multilayer nature such makes it difficult decide on design-compliant task allocation...
With the increasing demand for individualized production and swift adaptability to changing market needs, new manufacturing system concepts emerge. Aiming high flexibility scalability, they rely on universal reconfigurable machines that can be used in various steps by automatically tools sensors. Consequently, data processing infrastructure is required support frequent exchange of process-specific software applications, ranging from control monitoring tasks complex sensor processing. This a...