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NXP (Germany)

32 Projects, page 1 of 7
  • Funder: European Commission Project Code: 737459
    Overall Budget: 106,446,000 EURFunder Contribution: 26,033,100 EUR

    PRODUCTIVE4.0 - AMBITIOUS PROJECT WITH A UNIQUE MAIN OBJECTIVE The main objective of Productive4.0 is to achieve improvement of digitising the European industry by electronics and ICT. Ultimately, the project aims at suitability for everyday application across all industrial sectors – up to TRL8. It addresses various industrial domains with one single approach of digitalisation. What makes the project unique is the holistic system approach of consistently focusing on the three main pillars: digital automation, supply chain networks and product lifecycle management, all of which interact and influence each other. This is part of the new concept of introducing seamless automation and network solutions as well as enhancing the transparency of data, their consistence and overall efficiency. Currently, such a complex project can only be realised in ECSEL. The consortium consists of 45% AENEAS, 30% ARTEMIS-IA, 25% EPOSS partners, thus bringing together all ECSEL communities. Representing over 100 partners from 19 EU and other associated countries, it is a European project, indeed. HANDS-ON SOLUTIONS FOR THE EUROPEAN DIGITAL INDUSTRY • Productive4.0 tackles technological and conceptual approaches in the field of Industry 4.0. The term comprises IIoT (Industrial Internet of Things), CPS (Cyber Physical Systems) and Automation. • The innovation project takes a step further towards hands-on solutions. In the process, practical reference implementations such as 3D printerfarms, customised production or self-learning robot systems will benefit in fields like service-oriented architecture (SOA), IOT components & infrastructures, process virtualisation or standardisation. These fields are addressed in the work packages WP1 through WP6. • In addition to furnishing the industry with tailor-made digital solutions, the Productive4.0 Framework will be provided. • Productive4.0 is a brain pool initiated to strengthen the international leadership of the European industry.

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  • Funder: European Commission Project Code: 101095947
    Overall Budget: 53,724,200 EURFunder Contribution: 15,430,500 EUR

    TRISTAN’S overarching aim is to expand, mature and industrialize the European RISC-V ecosystem so that it is able to compete with existing commercial alternatives. This will be achieved by leveraging the Open-Source community to gain in productivity and quality. This goal will be achieved by defining a European strategy for RISC-V based designs including the creation of a repository of industrial quality building blocks to be used for SoC designs in different application domains (e.g. automotive, industrial, etc.). The TRISTAN approach is holistic, covering both electronic design automation tools (EDA) and the full software stack. The broad consortium will expose a large number of engineers to RISC-V technology, which will further encourage adoption. This ecosystem will ensure a European sovereign alternative to existing industrial players. The 3-year project fits in the strategy of the European Commission to support the digital transformation of all economic and societal sectors, and speed up the transition towards a green, climate neutral and digital Europe. This transformation includes the development of new semiconductor components, such as processors, as these are considered of key importance in retaining technological and digital sovereignty and build on significant prior investments in knowledge generation in this domain. Development strategies leveraging public research funding that exploit Open-Source have been shown to boost productivity, increase security, increase transparency, allow better interoperability, reduce cost to companies and consumers, and avoid vendor lock-ins. The TRISTAN consortium is composed of 46 partners from industry (both large industries as well as SMEs), research organizations, universities and RISC-V related industry associations, originating from Austria, Belgium, Finland, France, Germany, Israel, Italy, the Netherlands, Poland, Romania, Turkey and Switzerland.

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  • Funder: European Commission Project Code: 876852
    Overall Budget: 25,857,500 EURFunder Contribution: 7,679,360 EUR

    Manufacturers of automated systems and the manufacturers of the components used in these systems have been allocating an enormous amount of time and effort in the past years developing and conducting research on automated systems. The effort spent has resulted in the availability of prototypes demonstrating new capabilities as well as the introduction of such systems to the market within different domains. Manufacturers of these systems need to make sure that the systems function in the intended way and according to specifications which is not a trivial task as system complexity rises dramatically the more integrated and interconnected these systems become with the addition of automated functionality and features to them. With rising complexity, unknown emerging properties of the system may come to the surface making it necessary to conduct thorough verification and validation (V&V) of these systems. VALU3S aims to design, implement and evaluate state-of-the-art V&V methods and tools in order to reduce the time and cost needed to verify and validate automated systems with respect to safety, cybersecurity and privacy (SCP) requirements. This will ensure that European manufacturers of automated systems remain competitive and that they remain world leaders. To this end, a multi-domain framework is designed and evaluated with the aim to create a clear structure around the components and elements needed to conduct V&V process through identification and classification of evaluation methods, tools, environments and concepts that are needed to verify and validate automated systems with respect to SCP requirements. The implemented V&V methods as well as improved process workflows and tools will also be evaluated in the project using a comprehensive set of demonstrators built from 13 use cases with specific SCP requirements from 6 domains of automotive, industrial robotics, agriculture, Aerospace, railway and health.

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  • Funder: European Commission Project Code: 296131
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  • Funder: European Commission Project Code: 737434
    Overall Budget: 17,351,800 EURFunder Contribution: 5,146,310 EUR

    CONNECT aims to provide concepts, technologies and components that support enhanced integration of renewables and storage combined with intelligent control of the power flow. The demand for primary energy and the carbon dioxide emissions will be reduced and a decentralized energy infrastructure will be facilitated by these solutions. CONNECT investigates new concepts and technologies for power conversion that will be specifically developed for bidirectional power exchange with the grid and for controllable power flow in order to support the extended integration of renewables like PV and local storage. Power quality optimization will be explored in order to avoid unnecessary energy flows in the grid. The enhanced capabilities of the power conversion fit seamlessly to the smart energy management systems researched in CONNECT applicable for single/multiple buildings and quarters. Monitoring approaches and advanced control algorithms will be developed which take into account renewable energy sources, local storage and electric vehicles for peak demand reduction and optimization of local generation, consumption and storage. In order to fully exploit the advantages of the aforementioned technologies it is necessary to enhance the data transmission capacity of the smart grid communication infrastructure. For this purpose CONNECT will develop solutions for high interoperable, high data rate local and wide area communication in the grid with enhanced security in order to protect this critical infrastructure against attacks. Particular effort is spend to minimize the power consumption of the developed solutions. Selected results of CONNECT are planned to be demonstrated not only in lab environment but also in close to real life scenarios.

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