Find here the overview of the Success stories
Cyber-physical systems (CPS) are very large systems that not only involve
a large number of stakeholders but are safety critical and have significant impact on the economy and the
environment as well. This makes tools for the safe and efficient design and operation of such systems
imperative. The ITEA project MODRIO, which ran from 2012 to 2016, was set
up to extend modelling and simulation tools based on open standards (Modelica and FMI) from system design to
The ITEA 2 project OPEES stood at
the inception of two important trends:
open collaboration with open source in industry and open source tools for model-based systems engineering
(MBSE). Neither of these trends were well developed in 2009, but almost 10 years later, and with
acceleration through the OPEES
project, we benefit from
both good open source MBSE tools and many open
collaboration initiatives in industry. OPEES was both a pioneer and a catalyst in this evolution.
Radiotherapy affects not only cancer cells but also healthy cells in the area that is being treated, so it is important that as little healthy tissue as possible is affected. The problem is that the movement of a tumour under the effect of respiration, for example, risks damaging surrounding tissue, whereas MRI, the only imaging modality that can visualise the tumour well, traditionally takes minutes to create the image. Thanks to the strong results from the ITEA SoRTS project, physicians can now precisely target a tumour, even when tumour tissue changes shape, location, size or composition during treatment. Patients benefit from a less intrusive treatment enabling them to continue their daily lives.
Ten years ago, virtual worlds were already found in serious computer games and simulation models. However, they were mostly standalone and independent of each other with little or no connection to the real world. The ITEA project Metaverse1 set out to overcome this isolation – defining a standard to enable connectivity and interoperability between virtual worlds and with the real world. The objective was to define interoperability in such a way that it would be possible to exchange information between worlds. Even more important was the development of a standard interface between the real physical world and the virtual – simulation/ serious games – world. This made it possible to attach real world sensors, such as body parameter or environmental sensors, to provide input to simulations or alternatively obtain feedback from such models into the real world, for example to control lighting, temperature or ventilation or for personal wellbeing.
The ITEA 2 projects AMALTHEA and AMALTHEA4public are part of a 'string of pearls' in the automotive domain; successes that have pushed this domain into the next phase of its development. AUTOSAR, a result from the former ITEA project EAST-EEA, defined a methodology for component-based development of automotive software and a standardised software architecture for automotive electronic control units. However, AUTOSAR offered only limited support for detailed behaviour descriptions, which are indispensable for developing much more complex multi-core systems of high quality. Those require an increased exchange between tools. Multi-core optimisation especially relies on additional information like detailed timing behaviour. AMALTHEA set about adapting existing development methods and tools and creating a common model that offers the required description capabilities on different abstraction levels. The follow-up project AMALTHEA4public was set up to foster the transfer into application and to create a sustainable open (“public”) platform and a vibrant community of users and contributors.
The number of people experiencing chronic disease is increasing dramatically worldwide. The impact of chronic diseases is evident: it has been estimated that the cost of five of the major chronic illnesses could reach USD 47 trillion over the next 20 years and could claim almost 400 million lives within 10 years. The ITEA 2 MoSHCA project was geared towards improving patient-doctor interactions, controlling chronic diseases, developing technological set-ups that significantly improve the self-management of chronic illnesses, promoting communication between the patient and the health provider and supporting health staff in providing better clinical follow-up.
The international landscape is quite diverse in terms of interactive
software systems as they should be used in a wide spectrum of contexts of use. Each context of use covers
various types of users along with their interactive tasks, using potentially several computing platforms or
devices in multiple physical, organisational and psychological environments and locations. In addition,
practices for developing user interfaces of these interactive software systems are even more heterogeneous.
Evolving in so many diverse contexts of use is particularly challenging when the same system should be
deployed for several targets. In theory, a single version of the software should be produced so that it is
adapted to each context of use. In practice, this is simply impossible to do due to lack of resources and
HPC is essential in meeting the demand for increased processing power for future research and development in many domains. The goal of the ITEA project H4H was to provide a highly efficient, hybrid programming environment for heterogeneous computing clusters to enable easier development of HPC applications and optimise application performance. The project also aimed at providing a new infrastructure for HPC cloud computing and a new cooling technology to reduce energy needed to operate the HPC system.
Due to the dramatic increase in the complexity of the software itself and the sheer magnitude of the customisability of the software, software-intensive systems have become increasingly difficult to develop and verify by traditional development processes and testing methods.The ITEA project ATAC aimed to resolve such challenges. The overarching goal was to push the functional, safety and security requirements coverage envelope while greatly reducing the required testing effort for both the fully automated and remaining manual test cases.
Smart buildings of the future need comprehensive and extendible cross-domain management and control functionality that today’s building automation and management systems (BAS) do not adequately provide. The BaaS (Building as a Service) project was set out to tackle these challenges by introducing a novel semantic IoT service framework for commercial buildings along with a reference architecture and corresponding software platform as a basis for current and future commercial building automation and management technologies.
Nowadays, a wealth of data is available. However the access to efficient analytic tools is often difficult. The ITEA project CAP (Collaborative Analytic Platform), contributed to the development of new sustainable business models and laid the foundation for a market value proposition of ‘Big Data as a Service’. Thanks to the project results, La Poste will be able to save several million euros with the same control workforces.
SEAS was set out to enable interoperability of energy, ICT and automation systems at consumption sites, introducing dynamic ICT-based solutions to control, monitor and estimate energy consumption. According to Engie's CTO: "SEAS is a standard that will allow any kind of energy to be transferred securely and automatically with embedded artificial intelligence between devices that either produce, store or consume. This is a really, really major development in the IoT for energy, one that is going to transform the future."