The SoundCity Project MONICA aims to provide a very large scale demonstration of multiple existing and new Internet of Things technologies for Smarter Living. The solution will be deployed in 6 major cities in Europe. MONICA demonstrates a large scale IoT ecosystem that uses innovative wearable and portable IoT sensors and actuators with closed-loop back-end services integrated into an interoperable, cloud-based platform capable of offering a multitude of simultaneous, targeted applications. All ecosystems will be demonstrated in the scope of large scale city events, but have general applicability for dynamically deploying Smart City applications in many fixed locations such as airports, main traffic arterials, and construction sites. Moreover, it is inherent in the MONICA approach to identify the official standardisation potential areas in all stages of the project. MONICA will demonstrate an IoT platform in massive scale operating conditions; capable of handling at least 10.000 simultaneous real end-users with wearable and portable sensors using existing and emerging technologies (TRL 5-6) and based upon open standards and architectures. It will design, develop and deploy a platform capable of integrating large amounts of heterogeneous, interoperable IoT enabled sensors with different data capabilities (video, audio, data), resource constraints (wearables, Smartphones, Smartwatches), bandwidth (UWB, M2M), costs (professional, consumer), and deployment (wearable, mobile, fixed, airborne) as well as actuators (lights, LED, cameras, alarms, drones, loudspeakers). It will demo end-to-end, closed loop solutions covering everything from devices and middleware with semantic annotations through a multitude of wireless communication channels to cloud based applications and back to actuation networks. Humans-in-the-Loop is demonstrated through integrating Situational Awareness and Decision Support tools for organisers, security staff and sound engineers situation rooms.

ALRIGH2T responds in full to the “expected outcomes” and “scope” of the HORIZON-CL5-2023-D5-01-07 topic, by developing and demonstrating two alternative technologies for LH2 aircraft refuelling: - Direct LH2 refuelling, encompassing the definition of operational protocols for safe and rapid refuelling, the development and testing of a LH2 transfer pump and an instrumented tank, their integration in an iron bird laboratory for the execution of refuelling/defueling tests and the delivering of a digital twin model. - LH2 tanks swap refuelling, encompassing end-to-end logistic and supply chain of tank modules, the design of the associated on- and off-site infrastructure and its demonstration. Both concepts will achieve TRL 6 by the end of the project, undergoing a comprehensive technology evaluation informed by demonstration results in two major airports, i.e. Milan Malpensa and Paris (Orly or LeBourget) respectively. The two technology lines are complemented by transversal activities for the definition of technical and techno-economic boundary conditions, the demonstration of the use of H2 for ground operations (i.e. H2 powered tow vehicle, demonstrated at the Malpensa site) as well as environmental, safety and regulatory cross-cutting aspects. ALRIGH2T has the ambition of demonstrating, for the first time, LH2 refuelling in a scale compatible with airport operations, synergizing with the Clean Aviation research and development efforts at the aircraft level. The project is implemented by a consortium built on the competences of top European industrial players, positioned along entire hydrogen and aeronautic value chain, complemented by research and technology organisations and selected member of the Advisory Board, including the EASA. ALRIGH2T is expected to be a cornerstone in the path towards the deployment of LH2 as an aviation fuel, strengthening the European research and industry leadership and consolidating the role of green airports as hubs of the H2 economy

Cyber-Physical Systems (CPS) find applications in a number of large-scale, safety-critical domains e.g. transportation, smart cities, etc. While the increased CPS adoption has resulted in the maturation of solutions for CPS development, a single consistent science of system integration for CPS has not yet been consolidated. Therefore CPS development remains a complex and error-prone task, often requiring a collection of separate tools. Moreover, interactions amongst CPS might lead to new behaviors and emerging properties, often with unpredictable results. Rather than being an unwanted byproduct, these interactions can become an advantage if explicitly managed since early design stages. CPSwarm tackles this challenge by proposing a new science of system integration and tools to support engineering of CPS swarms. CPSwarm tools will ease development and integration of complex herds of heterogeneous CPS that collaborate based on local policies and that exhibit a collective behavior capable of solving complex, industrial-driven, real-world problems. The project defines a complete toolchain that enables the designer to: (a) set-up collaborative autonomous CPSs; (b) test the swarm performance with respect to the design goal; and (c) massively deploy solutions towards “reconfigurable” CPS devices. Model-centric design and predictive engineering are the pillars of the project, enabling definition, composition, verification and simulation of collaborative, autonomous CPS while accounting for various dynamics, constraints and for safety, performance and cost efficiency issues. CPSwarm pushes forward CPS engineering at a larger scale, with an expected significant reduction of development time and costs. Project results will be tested in real-world use cases in 3 different domains: swarms of Unmanned Aerial Vehicles and Rovers for safety and security purposes; autonomous driving for freight vehicles; and swarm of opportunistically collaborating smart bikes.