Automated driving is a disruptive technology which opens the door to future multi-billion markets providing business opportunities to value chains in automotive and semiconductor industry.The European industry has leading competitive strength in the development and manufacturing of highly reliable electro-mechanical systems. In order to preserve this capability Europe needs to setup European standards for high level control such as real-time computing or big data processing. In order to respond on the global challenge AutoDrive has gathered Europe’s leading semiconductor companies, suppliers, OEMs, and research institutes committed to create a pan-European eco-system, which has the critical mass to initiate standards and provides the components and subsystems for automated driving. Currently, even the most sophisticated vehicle automation technology on the road is not able to surpass human driving capabilities – especially considering context awareness in any situation. Moreover, there is no common agreement on quantifiable dependability measures which hardware and embedded software have to achieve to allow safe automated driving for SAE Levels 3-5. AutoDrive aims for the design of (i) fail-aware (self-diagnostics), (ii) fail-safe, (iii) fail-operational (HW and SW redundancy) electronic components and systems architecture that enable the introduction of automated driving in all car categories. AutoDrive results will significantly contribute to safer and more efficient mobility. It will raise end-user acceptance and comfort by supporting drivers in highly challenging situations (active safety) as well as in regular driving situations. Combining both will reduce the number of road fatalities especially in rural scenarios and under adverse weather conditions. AutoDrive will contribute to Europe’s Vision Zero and to improved efficiency. This will sustain Leadership and even grow the market position of all AutoDrive partners.

The wearable sensor platform proposed in CONVERGENCE is centred on energy efficient wearable proof-of-concepts at system level exploiting data analytics developed in a context driven approach (in contrast with more traditional research where the device level research and the data analytics are carried out on separate path, rarely converging). Here we choose realistic wearable form factors for our energy efficient systems such as wrist-based and patch-based devices. Their advancements, as autonomous systems is foreseen in CONVERGENCE to offer unique solutions for new generations of frictionless (non-invasive) quasi-continuous healthcare and environmental monitoring, and for forthcoming smart apparel with embedded autonomous sensing. At long term, the CONVERGENCE platform will form the basis for new generations of human-machine interfaces. Such energy efficient, wireless and multifunctional wearable systems will beneficially track and interact with the end-user through appropriate feedback channels on a daily basis. They will enable personalized advice and assistance promoting healthier lifestyle and improved healthcare prevention, far beyond what today’s wireless sensor networks are capable of providing. The project connects some of the best research in national and/or European projects, with a demonstrated potential of TRL level for system integration, of the partners constituting the Consortium and networks with end users in the healthcare field. The CONVERGENCE project supports holistically - by multiple efforts at technology, system integration, algorithms and data analytics levels - the advancement of early detection, minimisation of risks and prevention-based healthcare and lifestyle, based on the deployment of some focused embodiments of wearable technology for interactive monitoring and assessment. CONVERGENCE

The candidiasis disease is one of the more severe fungal infections with particularly high mortality amongst immunocompromised patients. It is caused by the opportunistic fungus Candida albicans (C.albicans) that is quite resistant to common antifungal medicines. The cell wall of C.albicans has a key role for protection and interaction of fungus, making it a promising target for new antifungals. However, the structural organization at atomic level for the intact C. albicans cell walls remains understudied. Here we are proposing a project, which will focus on the cell wall molecular organization studies at atomic level for the intact C. albicans fungus using non-destructive solid-state nuclear magnetic resonance (ssNMR) spectroscopy. We will elucidate the intact C.albicans cell walls by exploiting modern 1H and 19F detected ssNMR technologies at fast magic angle spinning regime. During this interdisciplinary project we plan to improve the selective 1H, 13C, 15N labeling schemes and create a novel biochemical 19F incorporation in the C.albicans cell walls. In combination with development of new 1H and 19F detected ssNMR techniques, we will elucidate the structures of main polysaccharides, lipids and proteins, allowing to decipher the supramolecular arrangements. The anticipated findings in this research project will provide a precise structural model of the intact C.albicans cell walls, paving a way for discoveries of new antifungals.

To unleash the full potential of IoT, realizing the digital society and flourishing innovations in application domains such as eHealth, smart city, intelligent transport systems, and smart manufacturing, it is critical to facilitate the creation and operation of trustworthy Smart IoT Systems. Since smart IoT systems typically operate in a changing and often unpredictable environment, the ability of these systems to continuously evolve and adapt to their new environment is decisive to ensure and increase their trustworthiness, quality and user experience. The DevOps movement advocates a set of software engineering best practices and tools, to ensure Quality of Service whilst continuously evolving complex systems and foster agility, rapid innovation cycles, and ease of use . Therefore, DevOps has been widely adopted in the software industry . However, there is no complete DevOps support for trustworthy smart IoT systems today. The main technical goal of ENACT is to develop novel IoT platform enablers to: i) Enable DevOps in the realm of trustworthy smart IoT systems, and enrich it with novel concepts for end-to-end security and privacy, resilience and robustness strengthening trustworthiness, taking into account the challenges related to “collaborative” actuation and actuation conflicts. ii) Facilitate the smooth integration of these to leverage DevOps for existing and new IoT platforms and approaches (e.g., FIWARE, SOFIA, and TelluCloud). This will be accomplished by evolving current DevOps methods and techniques to support the agile development and operation of smart IoT systems, and provide a set of novel mechanisms to ensure quality assurance and trustworthiness, such as actuation conflict handling, continuous testing and delivery across IoT, edge and cloud spaces and end to end security and privacy management. Through this ENACT will provide a DevOps framework for smart IoT Systems