DynamIA: Dynamic Hardware Reconfiguration in Industrial Applications
The project focuses on transferring knowledge on partial and dynamic reconfiguration of FPGAs from the academic partners to small and medium enterprises (SMEs), because the success stories on partial and dynamic reconfiguration were mainly only realized in large companies with a substantial amount of R&D activities. The reason is that the technology is still perceived as being difficult to adopt and expensive in terms of NRE costs. Therefore, the goal of the DynamIA project is two-fold. (1) It develops a number of use cases and guidelines in different application domains, tailored to the activities of the SMEs in the user group and in the broader target group, demonstrating a number of benefits of partial and dynamic FPGA reconfiguration, namely a faster start-up, a faster design cycle and a lower occupation of resources leading to a lower static power consumption. (2) It develops a low-cost, vendor-independent emulation environment for dynamic and partial reconfiguration, which is non-existing in commercial and academic EDA tools. Another benefit of this emulation environment is that it can also be used for static designs. This allows SMEs to have a low-cost emulation environment for their applications instead of developing their own emulation environment manually (which is very time-consuming) or buying big cost-intensive commercial emulators.
DynamIA is a Collective Research NETworking (CORNET) project and supports the networking of national and regional programmes of European research. This form of project is corrdinated by the AiF (Arbeitsgemeinschaft industrieller Forschungsvereinigungen "Otto von Guericke" e.V.).
More information can be found under: http://dynamia.esit.rub.de
RADIO: Robots in Assisted living Environments
Demographic and epidemiologic transitions in Europe have brought a new health care paradigm where life expectancy is increasing as well as the need for long-term care. To meet the resulting challenge, European healthcare systems need to take full advantage of new opportunities offered by technical advancements in ICT. The RADIO project explores a novel approach to user acceptance and unobtrusiveness: an integrated smart home/assistant robot system where health monitoring equipment is an obvious and accepted part of the user’s daily life. By using the smart home/assistant robot as sensing equipment for health monitoring, we mask the functionality of the sensors rather than the sensors themselves. In this manner, sensors do not need to be discrete and distant or masked and cumbersome to install; they do however need to be perceived as a natural component of the smart home/assistant robot functionalities. The RADIO project startet in April 2015 and has a duration of 3 years. Link to the official website http://radio-project.eu
RADIO is funded by the European Commission through the Horizon 2020 Programme (H2020/PHC-19-2014) under the Research and Innovation Action. Partners in the consortium are: National Centre for Scientific Research “Demokritos" (NCSR-D), Greece, Technical Educational Institute of Western, Greece (TWG), Greece, Ruhr Universitaet Bochum (RUB), Germany, Robotnik Automation, Spain, Sensing & Control Systems S.L., Spain AVN Innovative Technology Solutions Ltd., Cyprus Fondazione Santa Lucia, Italy, Fundació Hospital Asil de Granollers, Spain and Frontida Zois, Greece
More information can be found under: http://www.radio-project.eu
TULIPP: Towards Ubiquitous Low-power Image Processing Platforms
The main objective of the Tulipp project is to provide vision-based system designers with a reference platform (hardware solution, operating system and programming tool chain) for high performance and energy-efficient image processing embedded systems. New standards derived from its reference platform to the industry will be proposed.
TULIPP is funded by the European Commission through the Horizon 2020 Programme (H2020/ICT-04-2015) under the Innovation Action. Partners in the consortium are: Thales SA, France, Ruhr-Universität Bochum (RUB), Germany, Sundance Multiprocessor Technology LTD, United Kingdom, HIPPEROS SA, Belgium, Fraunhofer Institute of Optronics, System Techologies and Image Exploitation IOSB, Germany, Norges Teknisk-Naturvitenskapelige Universitet (NTNU), Norway, Synective Systems AB, Sweden, Efficient Innovation SAS, France.
More information can be found under: https://www.hipeac.net/network/projects/6771/tulipp/