Find here the overview of the Success stories
The convergence of cloud, communication and IoT infrastructure plus the trend towards virtual applications (e.g. migrating software to the cloud) create new challenges for application developers and infrastructure providers. The resulting systems are complex with dynamic resources hiding possible problems. This creates a requirement for flexible monitoring and optimisation methods. The Flex4Apps project addresses the challenges of monitoring and optimising large, distributed, cyber-physical systems. The goal of the project is to provide a solution to manage the high data volumes and complexity of system monitoring whilst disturbing the target system as little as possible.
Electric vehicles, connectivity and autonomous driving functions will revolutionise the automotive domain, which is a major challenge for vehicle manufacturers. Customers should be willing to pay for autonomous driving features that are a small part of the total car costs. The rationale behind DANGUN is that rather than using expensive sensors a comparable performance can be achieved through the close cooperation of suppliers of advanced perception sensors, vehicle manufactures and academia. The DANGUN project aims to develop a Traffic Jam Pilot function with autonomous capabilities using low-cost automotive components.
Reflexion will support high-tech industry by providing significant improvements in quality and stability during early product roll-out. The results will include the ability to react to unforeseen problems or emerging needs in a speedy and cost-effective way by augmenting products with a layer of data sensing and data-analytics to quickly infer ‘missed’ or ‘misunderstood’ end-customer requirements; detecting issues that escape product release testing and product items that need service and maintenance attention. This knowledge is used to further improve the product.
Future mobility solutions will increasingly rely on smart components that continuously monitor the environment and assume more and more responsibility for a convenient, safe and reliable operation. Currently the single most important roadblock for this market is the ability to come up with an affordable, safe multi-core development methodology that allows industry to deliver trustworthy new functions at competitive prices. ASSUME will provide a seamless engineering methodology, which addresses this roadblock on the constructive and analytic side
Fuse-IT will address the need for sustainable, reliable, userfriendly, efficient, safe and secure Building Management System (BMS) in the context of smart critical sites. A main purpose is to solve the dilemma between efficiency and security in intelligent & strategic buildings. The result of FUSE-IT will be a smart secured building system, incorporating secured share sensors, effectors and devices strongly interconnected through trusted federated energy & information networks, a core building data processing & analysis module, a smart unified building management interface and a full security dashboard. Remote multisite monitoring will be implemented, taking advantage of big data analytics.
A strong growth forecast in the digital pathology market for the next five years combined with a decreasing number of qualified pathologists will lead to a tremendous increase in workload in the pathology departments of clinical and pharmaceutical organisations. On top of this there is an urgent need for higher quality diagnostic information enabling more effective and efficient treatments. The 3DPathology project will address these needs by creating a fast, digital, quantitative, spectroscopic and multimodal 3D pathology analysis system.
C³PO aims at providing a Cloud collaborative and semantic platform for city co-design. The C³PO platform is unique in that it covers the whole urban project development process where cities empower, encourage and guide different stakeholders (citizens, decision makers, architects, etc.) to develop an urban project together. C³PO does not intend to replace or modify the existing applications offering unique but partial solutions of city co-design (simulation tool, open API, 3D modelling and visualisation, gaming tool, etc.) but can be seen as an open and generic intermediary that enables the interaction between existing applications through a unique multi-dimensional semantic repository (covering the different types of information in city codesign like GIS, BIM, electricity grids, traffic, etc.). As such, C³PO will enable the capitalisation of existing applications and data sources by enabling their integration as services, or by enabling them to exploit the C³PO Open API
Virtual system development (“frontloading”) is getting more and more important in a plenitude of industrial domains to reduce development times, stranded costs and time-to-market. Co-simulation is a particularly promising approach for interoperable modular development. However, the coupling and integration of real-time systems into simulation environments (especially of systems of distributed HiL systems and simulations) still requires enormous effort. The aim of ACOSAR is to develop both a non-proprietary “Distributed Co-simulation Protocol” (DCP) for integration of simulation and testing environments and an according integration methodology, which shall be a substantial contribution to international standardization (FMI). The results of ACOSAR will lead to a modular, considerably more flexible as well as shorter system development process for numerous industrial domains and will enable the establishment of new business models.
Most product innovations today are enabled through software components, so it is no surprise that software is the primary means of competitive differentiation. Software plays a key role in the digitalisation of many products that hitherto were completely driven by electronics, so scaling software in a controlled and efficient way is crucial, and represents a major challenge for organisations. The required transformations are often driven by the technological evolution of products, systems or services as well as by how the business and the company are organised. In many instances, existing processes must be reshaped, and new best practices and tools incorporated. The challenge taken up by the ITEA project SCALARE, a joint effort of industry and academia from five countries, was how to support and enable organisations in scaling their software capability in a systematic, proactive way.
The M2MGrids project aimed at creating enablers for a dynamic cyber-physical information ecosystem that would interoperate in real time with the business processes of companies with real-life objects, people and things. M2MGrids focused on major disruptions in targeted energy and mobility domains. The disruption in the energy domain was related to operating models and the high cost of peak hours in energy grids. To make more efficient use of the energy grid, there needed to be a flexible and automated means by which to control both consumption and generation between multiple energy stakeholders and prosumers. The inability of multiple stakeholder systems to exchange information in dynamic situations (such as in a traffic accident) was leading to disruptions in the mobility domain.
Innovation is much more than creating technology; it must ‘go to market’. Many companies need new ways to rapidly validate the match between the market and their innovative ICT-intensive technology. The ITEA project ACCELERATE took up the challenge of enabling the mass adoption of acceleration knowhow by European technology companies by focusing on two goals: the transfer of knowledge on a massive scale and the introduction of a new type of product development, the so-called validated learning process that systematically searches for the technology-market match by validating the mechanics of a business model. This way ACCELERATE set out to shorten the innovation cycle and time-to-market, and to increase the number of new products or solutions as well as the number of ideas that are accelerated and/or created.
Three main challenges were confronted by the BENEFIT project. Firstly, there is the societal aspect of coping with the increasing number of minimally invasive image guided interventions. Secondly, the economic dimension concerns delivering care with quantified targets in terms of quantity, price and quality of care. The third element was to show the technical feasibility of an integrated infrastructure that includes all relevant imaging and data sources, the modelling, analysis and presentation of these data and the integration into a Clinical Decision Support System. The BENEFIT project addressed these challenges by developing new imaging procedures and quantification and analysis methods to collect
information before, during and at the end of an interventional treatment.