The European manufacturing industry is facing challenges in terms of adaptability, flexibility and vertical integration. The SYMBIO-TIC project adresses these important issues towards a safe, dynamic, intuitive and cost effective working environment were inmersive and symbiotic collaboration between human workers and robots can take place and bring significant benefits to robot - reluctant industries, where current tasks and processes are thought too complex to be automated.
Existing research mostly focuses on pre-optimising algorithms, which are not applicable to already available VM images. With its VM synthesiser, ENTICE will extend pre-optimising approaches so that image dependency descriptions are mostly automatically generated. The project will also introduce new comprehensive post-optimising algorithms so that existing VM images can be automatically adapted to dynamic Cloud environments.
The sense and avoid (S&A) capability is crucial for the unmanned aerial vehicles (UAVs). It is due to the necessity of integrating civilian and governmental UAVs into the common airspace. In a S&A scenario, the ego-UAV is the observer, which estimates the probability and/or the possibility of collision. Based on this estimation, it initiates an avoidance maneuver, if and when it is required. The probability of collision can be determined through the estimation of direction and distance of the other aircraft or UAV (called in this context the intruder).
Based on the APIS project, with extended goals: "To study, define, analyse a new system concept for implementing and demonstrating ISAR imaging capability in a plug-in multistatic array passive radar finalized to target recognition."
Execute the research and development program, that was defined by the key regional members of manufacturing-machining-automotive-mechatronics branches. With national and global players, realization of future oriented, strategically important, technically clearly defined and interrelated, targeted research and development activities.
The objective of the Share-PSI 2.0 Thematic Network is to bring together a very broad range of stakeholders in the re-use of public sector information and to help them reach consensus on technical standards, complementing existing and ongoing initiatives in the domain.
Conventional treatment of the cataract is the surgical replacement of the lens of impaired transparency by an artificial intraocular lens. This can provide considerable recuperation of the vision patients. Since the eye cannot focus the artificial intraocular lenses (IOLs), the latest IOLs have multiple focus, which enables patents to cover both short range and long range sharp vision. In this project we investigate through simultaions how, and what extent can the neural system adapt to the changed imaging properties of the implanted artificial lens, especially to the multi-focal ones.
The Agrodat.hu project aims to establish an agricultural knowledge centre and decision support system based on data gathered by an innovative, complex sensor system and from international open repositories. The new research infrastructure and service platform rely on big data, cloud, and HPC technologies to support precision farming.
ChaosFire is an innovative experiment executed in the frame of the 1st Open Call of the Fed4FIRE. Following the succesful comnpletion of KOPFire as part of BonFIRE, ChaosFire is DSD's second Future Internet Research and Experimentation (FIRE) project.