OXILATE -project belongs to a EUREKA strategic ICT cluster programme (ITEA3) having project partners in four countries. OXILATE aims at enhancing intelligent services on complex systems, integrated in the customer’s operating context, reacting to the emerging customer needs for operationalized expertise in an agile manner. This will be achieved by development and use of flexible data-driven tools, methods, processes, models and platforms fusing expert knowledge with data analytics on operational data.
SARWS Project: The dependence on road transport in our daily lives has grown at a phenomenal rate in recent years, in line with the problems arising from its use: permanent congestion on highways and urban centres, energy waste, CO2 emissions mass with consequent impact public health and high rates of accidents on the road networks. These challenges are even more pressing if we take into account the weather uncertainties and environmental conditions that may affect driving safety. Particularly, the factors such as heavy rain, snow, strong winds, can cause drifts, or even factors such low light is challenging for drivers. Read more
The exponential growth of mobile traffic, associated with the emergence of new services and the expected explosion of the number of connected objects will make effective monitoring, modelling, and overall control of network traffic difficult if not impossible. Hence, there is a need for powerful methods to solve the challenges faced in network design, deployment, and management.AI4GREEN is built around the need to build comprehensive, sophisticated and energy-efficient algorithms and solutions at both radio access and core networks, but also on data centers and storage while keeping in mind the emergence of new architectures and the development of smart grids.
Completed contributions as subcontractor
Interoperability, along with security and privacy of personal data, are the two most important limitations for the growth of the Internet of Things (IoT) market. Interoperability increases the complexity of service production processes and the cost of production. Lack of security and trust for the protection of privacy puts a barrier between service providers and consumers. To solve these issues, PARFAIT aims to develop a platform for protecting personal data in IoT applications and to reduce the complexity of integrating and deploying services in today’s IoT technology by providing interoperable software libraries, tools and SDK elements.
E-commerce has drastically transformed the retail industry. The SOLOMON project aims to improve the customer experience in bricks-and-mortar stores by defining a “shop operations and experience” platform that connects different technologies and information sources into seamless services for interaction with the retailers, shop personnel and consumers. In particular, SOLOMON emphasizes the use of mobile device mediated interactions in sensor enriched physical environments for rich user experiences.
The PAPUD project is a 3 years ITEA3 project (call3) started in december 2017. This project includes 16 partners from 5 countries, Belgium, France, Romania, Spain and Turkey. This project is mainly a Deep learning project applied to five domains, e-commerce, call-centers, e-government, human resources and data centers.
