AGILE project aims to create an open, flexible and widely usable IoT solution at disposal of industries (startups, SMEs, tech companies) and individuals (researchers, makers, entrepreneurs) as a framework that consists of: • A modular IoT gateway enabling various types of devices (wearables, home appliances, sensors, actuators, etc.) to be connected with each other and to the Internet; • Data management and device control maximizing security and privacy, at local level and in the cloud, technologies and methodologies to better manage data privacy and ownership in the IoT; • Support of various open and private clouds; • Recommender and visual developer’s interfaces enabling easy creation of applications to manage connected devices and data; • Support of mainstream IoT/M2M protocols, and SDKs from different standardization bodies for device discovery and communication; • Two separate gateway hardware versions: a) the ‘maker’s version, based on the popular RaspberryPi platform for easily prototyping and attracting the current community; b) the ‘industrial’ version for more industrial and production-ready applications; • An ecosystem of IoT applications shareable among users and developers leveraging on existing initiatives by key stakeholders in this domain, like Canonical and Ubuntu Snappy IoT ecosystem. Piloted in relevant open areas (fields and in a port) for field & cattle monitoring through drones, air quality & pollution monitoring and in smart retail, AGILE will be easily adaptable and usable in different contexts serving as an horizontal technology for fast IoT prototyping and engineering in different domains. Following an open hardware/software approach, harnessing the power of IoT developers and entrepreneurs communities, AGILE aims to offer tools to overcome limitations imposed by closed and vertical walled gardens for IoT apps development, offering a fully open platform for integration and adaptation with 3rd parties enabling a new marketplace for IoT apps

The TeamPlay project aims to develop new, formally-motivated, techniques that will allow execution time, energy usage, security, and other important non-functional properties of parallel software to be treated effectively, and as first- class citizens. We will build this into a toolbox for developing highly parallel software for low-energy systems, as required by the internet of things, cyber-physical systems etc. The TeamPlay approach will allow programs to reflect directly on their own time, energy consumption, security, etc., as well as enabling the developer to reason about both the functional and the non-functional properties of their software at the source code level. Our success will ensure significant progress on a pressing problem of major industrial importance: how to effectively manage energy consumption for parallel systems while maintaining the right balance with other important software metrics, including time, security etc. The project brings together leading industrial and academic experts in paral- lelism, energy modeling/transparency, worst-case execution time analysis, non-functional property analysis, compi- lation, security, and task coordination. Results will be evaluated using industrial use cases taken from the computer vision, satellites, flying drones, medical and cybersecurity domains.

Small, long endurance electric Unmanned Arial Vehicles (UAVs) is the key enabling technology missing in the emerging market for airborne border surveillance and perimeter control, environmental monitoring and scientific missions etc. Currently, such missions are conducted by manned airplanes, helicopters or large gasoline propelled UAVs, all of which imply high acquisition and maintenance costs, and require takeoff and landing infrastructure. An electric, fixed-wing UAV, less than 3 kg, capable of flying up to 24 hours using a readily available fuel will revolutionize the UAV sector, and enable the proliferation of such systems. Small, long endurance UAV system could perform missions previously only possible with airplanes, helicopters and large UAVs, but at a fraction of the cost, and with much higher mission flexibility and availability. The key performance parameters of these UAV systems are: low weight [no need for take-off and landing infrastructure], electric propulsion [robustness, energy efficient and low noise signature], and a fuel-cell power system [long endurance].

UAV flight time is critical for several mission scenarios, as frequent recharging or refuelling limits the effective availability and service time, as well as range. This has thus far prevented the use of fully electric unmanned aerial vehicles (UAVs), since their performance scales unfavourably with the size/intensity of the UAV operation. Moreover, when small electric UAVs are massively deployed, and particularly in time critical mission, the handling and charging of many battery packs becomes a logistical problem. Thus, manned aerial platforms (helicopters and planes) or large (>25 kg) fixed-wing UAV systems, powered by internal combustion engines (ICE) have been the preferred option for long endurance missions such as monitoring and surveying. However, these large systems present high CAPEX and OPEX, mostly due to the oversized nature of these systems. The unique approach of UAVEndure II project is the combination of two technologies, namely small fixed-wing UAVs and fuel-cell power generation at a downsized scale and price not attempted before. The rationale is to harvest all the benefits of small electric UAVs, while having access to high endurance hitherto only possible with large aerial platforms propelled by ICE. Sky-Watch (SKY) and KraftWerk (KWT) have jointly developed the next generation fuel cell propulsion system for small UAVs - ELJUN - to cover the needs of drone OEMs and end-users for increased flight range/time of small UAVs. ELJUN provides 10x more flight range than LiPO battery. This is expected to further increase the usability of these small systems as an alternative to larger, costlier drones, thus untapping wider access to the use of this technology in civil and governmental applications. Thus, we expect ELJUN to become a new reference in the sector.