SYNCHRO-NET will demonstrate how a powerful and innovative SYNCHRO-modal supply chain eco-NET can catalyse the uptake of the slow steaming concept and synchro-modality, guaranteeing cost-effective robust solutions that de-stress the supply chain to reduce emissions and costs for logistics operations while simultaneously increasing reliability and service levels for logistics users. The core of the SYNCHRO-NET solution will be an integrated optimisation and simulation eco-net, incorporating: real-time synchro-modal logistics optimisation (e-Freight-enabled); slow steaming ship simulation & control systems; synchro-modal risk/benefit analysis statistical modelling; dynamic stakeholder impact assessment solution; and a synchro-operability communications and governance architecture. Perhaps the most important output of SYNCHRO-NET will be the demonstration that slow steaming, coupled with synchro-modal logistics optimisation delivers amazing benefits to all stakeholders in the supply chain: massive reduction in emissions for shipping and land-based transport due to modal shift to greener modes AND optimised planning processes leading to reduced empty kms for trucks and fewer wasted repositioning movements. This will lead to lower costs for ALL stakeholders – shipping companies and logistics operators will benefit from massive reduction in fuel usage, faster turnaround times in ports & terminals and increased resource utilisation/efficiency. Customers and end users will have greater control of their supply chain, leading to more reliable replenishment activity and therefore reduced safety stocks and expensive warehousing. Authorities and governmental organisations will benefit from a smoother, more controlled flow of goods through busy terminals, and reduction of congestion on major roads, thus maximising the utilisation of current infrastructure and making the resourcing of vital activities such as import/export control, policing and border security less costly.

PrEstoCloud project will make substantial research contributions in the cloud computing and real-time data intensive applications domains, in order to provide a dynamic, distributed, self-adaptive and proactively configurable architecture for processing Big Data streams. In particular, PrEstoCloud aims to combine real-time Big Data, mobile processing and cloud computing research in a unique way that entails proactiveness of cloud resources use and extension of the fog computing paradigm to the extreme edge of the network. The envisioned PrEstoCloud solution is driven by the microservices paradigm and has been structured across five different conceptual layers: i) Meta-management; ii) Control; iii) Cloud infrastructure; iv) Cloud/Edge communication and v) Devices, layers. This innovative solution will address the challenge of cloud-based self-adaptive real-time Big Data processing, including mobile stream processing and will be demonstrated and assessed in several challenging, complementary and commercially-promising pilots. There will be three PrEstoCloud pilots from the logistics, mobile journalism and security surveillance, application domains. The objective is to validate the PrEstoCloud solution, prove that it is domain agnostic and demonstrate its added-value for attracting early adopters, thus initialising the exploitation process early on.

There is an urgent need for novel approaches assessing functional decline in early AD. The main goal of the RADAR-AD project is to develop a digital platform to detect subtle functional deficits in early Alzheimer’s disease (AD) individuals by integrating a meaningful combination of smartphone, wearable and/or home sensor based parameters. The system developed will be suitable for future longitudinal studies, including trials. The objectives are to 1) Identify the most relevant functional domains and the most promising remote measurement tools (RMTs) for these domains based on reviewing the literature and piloting of RMTs in small studies; 2) Optimise the RADAR-CNS platform for use in AD studies; 3) Test the platform and selected RMTs in a real world environment clinical study with 240 participants across the AD spectrum ranging from the preclinical AD to the dementia stage; 4) Perform statistical modelling to estimate longitudinal predictions; 5) Discuss results with regulatory agencies in order to obtain guidance about how to develop a path for formal qualification as outcome measurements in future therapeutic interventions. Considering the limited budget and project duration, we will rely upon already available technology platforms and on available longitudinal datasets where possible. The consortium includes experts in clinical dementia studies, computer science, bioinformatics, regulatory policies, ethics, and patient and public involvement (PPI). Additional strengths of the consortium are the deep and broad interface with RADAR-CNS and related IMI projects, and the access to large amount of patient-level data from key European cohort studies for modelling purposes.

Improving industrial energy efficiency at European Manufacturing level requires the integration of energy data with advanced optimization techniques to guide a company decision making. E2COMATION intends to address the optimization of energy usage, at multiple hierarchical layers of a manufacturing process as well as considering the whole life-cycle perspective across the value chain. To this purpose, it aims at providing a cross-sectorial methodological framework and a modular technological platform to monitor, predict, evaluate impact of the behavior of a factory across energy and the life-cycle assessment dimensions, in order to adapt and optimize dynamically not only its real-time behavior over different time-scales, but also its strategic and sustainable positioning with respect to the complex supply and value chain it belongs to. Its major objectives are: - Holistic analysis of energy-related data streams for production performance forecasting; - Life-cycle conceptual paradigm applied to digital twinning of factory assets; - Factory-level integrated multi-objective optimization architecture; - Modular and scalable automation platform for distributed monitoring and supervision; - Comprehensive simulation environment enhanced with energy and environmental performance; - Energy Aware Planning and Scheduling tool (EAP&S); - Life Cycle Assessment and Costing tool (LCAC) integrated in a company Decision Support System; - Sustainable Computer Aided Process Planning (s-CAPP); - LCA-driven supply chain management (SCM) and business ecosystem. For E2COMATION to be successful, it is fundamental that the effectiveness of its methodological approach and technological framework is proved in complex industrial scenarios, involving several factories of different sectors. This will be achieved by implementing the project platform in 2 completely different value chains, the food and drink one and the woodworking one, with 5 concurrent industrial use-cases.

Smart, SME Friendly, open, Zero-Defect Manufacturing Reference Platform, Apps, SDK, and Marketplace for Product and Process Quality in any factory for achieving excellence in European and Global Manufacturing The ZDMP project combines state of the art technological approaches based on commercial grade standard or open-source or previous-project software with an innovative integration concept based on proven and integrating technologies. It provides Process and Product Quality support on top of a platform layer. These all can utilise ZDMP core services which can also be used to build ZD Apps which are placed on the ZD Marketplace. The ultimate aim is to establish a sustainable business and technological approach at the end of the project and launch “ZDMP Limited” assisted by the possibility of a crowdsourcing approach and ZDMP ambassadors. ZDMPs pan-European consortium entails ICT Technology SMEs (ICE, ASC, SOFT), Manufacturing/ZD Technology SMEs (PROF, CET, VSYS), Technology Corporates (SAG, Scale Focus), 4 Sector and Cross-Domain Use cases (14 Partners SME/Large from Automotive, Machine Tools, Construction, Electronics), Researchers/Associations (IKERLAN, ITI, UNINOVA, TUT, and UPV), specialists (DIN – German Standards, Rooter – Regulation, UOS-ITI – Call Management). ZDMP also is supported by the Coordinating partners of FOF projects CREMA, vf-OS, and C2NET.