
CUBIT
7 Projects, page 1 of 2
Open Access Mandate for Publications and Research data assignment_turned_in Project2024 - 2027Partners:SIEC BADAWCZA LUKASIEWICZ - INSTYTUT MIKROELEKTRONIKI I FOTONIKI, UniPi, TU/e, Chemnitz University of Technology, KUBIOS OY +13 partnersSIEC BADAWCZA LUKASIEWICZ - INSTYTUT MIKROELEKTRONIKI I FOTONIKI,UniPi,TU/e,Chemnitz University of Technology,KUBIOS OY,SANSIRRO GMBH,DAC.DIGITAL JOINT-STOCK COMPANY,ValoTec,ST,DSHS,LBG,STMicroelectronics (Switzerland),SAL,MEDTRONIC,IMEC-NL,CUBIT,XTREMION TECHNOLOGY FORSCHUNGSGESELLSCHAFT MBH,KPIFunder: European Commission Project Code: 101130495Funder Contribution: 7,897,420 EUREU-TRAINS aims to reinforce the supply chain on sensors for biomechanics and cardiovascular system real-time monitoring targeting applications in the fields of fitness and healthcare. It leverages from the strength of EU digital microsystem and design to support a 100% made-in-Europe supply chain of solutions which encompass smart-textile integration as well as advanced AI-based edge-cloud data processing. In details the following outcomes are foreseen: - Textile integrated electronic systems for real-time monitoring of hearth, respiratory and movement parameters on-the-air and in-water through an interdisciplinary approach; - Semiconductor technologies which allow the re-use of micro-nano systems both in the sports and in the healthcare sectors; - Miniaturized devices allowing the capturing of bio-chemical parameters able to withstand harsh ambient conditions such as salt fogs, chlorine, detergents, high and low temperatures, etc. The following key activities are targeted: - Development, prototyping and demonstration of versatile sensors with edge AI features for improved precision and reliability, that can also be integrated in textiles as well as in smart wearable wrist-watches and in sport equipment and gears targeting also underwater applications; - Cloud-edge Artificial Intelligence combined approaches for reliable diagnosis of body parameters. This will comprise sensor’s self-learning, remote update, multi-sensing approaches based on sensor arrays; - Novel materials that support electronics printing in textiles with stretchability and self-healing capabilities. Societal benefits are foreseen in the transition to a healthier lifestyle by promoting regular physical activity through affordable tools and services for a large audience, including people with disabilities. Moreover, this will impact the smart/remote-healthcare sector which will benefit of the availability of low-cost microfabricated solutions for intelligent, versatile, connected body sensors.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2024 - 2027Partners:University of Paris, SIEC BADAWCZA LUKASIEWICZ - INSTYTUT MIKROELEKTRONIKI I FOTONIKI, Eurotech (Italy), KOB GmbH, WEARABLE TECHNOLOGIES AG +29 partnersUniversity of Paris,SIEC BADAWCZA LUKASIEWICZ - INSTYTUT MIKROELEKTRONIKI I FOTONIKI,Eurotech (Italy),KOB GmbH,WEARABLE TECHNOLOGIES AG,University of Cagliari,University of Bari Aldo Moro,GRAPHENEA SEMICONDUCTOR SL,ADVANCED SYSTEMS TECHNOLOGIES AND USER SERVICES,UEF,ULPGC,MYONTEC OY,FUNDACION CANARIA DE INVESTIGACION SANITARIA,SMART TEXTILES HUB GMBH,Studio Harmonie,Chemnitz University of Technology,ThingLink,KUBIOS OY,HALTIAN,SANSIRRO GMBH,DAC.DIGITAL JOINT-STOCK COMPANY,ValoTec,DSHS,LBG,PANCO,KHYMEIA GROUP,MICROSIS SRL,PONS IP,CUBIT,CIDETE,SAL,XTREMION TECHNOLOGY FORSCHUNGSGESELLSCHAFT MBH,ENERGIOT DEVICES SL,THALESFunder: European Commission Project Code: 101140052Overall Budget: 24,050,500 EURFunder Contribution: 7,276,630 EURH2TRAIN proposal is funded on the sixth edition of the Electronic Components and Systems (ECS) Strategic Research and Innovation Agenda (ECS-SRIA) topics and major challenges for enabling digital technologies in holistic health-lifestyle supported by artificial intelligence (AI) networks. Biosensors for e-health and smart tracking of sport and fitness are a class of devices that is dominating the consumer and professional market with an unprecedented growth. Despite the impressive capabilities of recent approaches, several prospective revolutionary improvements are still open points, mainly in relationship with four factors: sensing new biosignals and tracking new activity patterns; improving battery lifetime and energy management for continuous use; and secure, reliable and efficient data analysis with AI algorithms and connectivity with the IoT. H2TRAIN aims at advancing the state of the art in this respect, taking profit from the remarkable properties and synergistic potential of one-dimensional (1D) and two-dimensional (2D) materials (1DM and 2DM), enabling more sensitive, efficient, and miniaturized biosensing capabilities within the established CMOS technology framework. This will contribute to the growth of e-health services assisted by AI and will fortify the development of Internet of Things (IoT) applications in health & wellbeing and digital society. H2TRAIN not only facilitates digital technology but also involves the development of new 1DM and 2DM-based devices for sensing, energy harvesting and supercapacitor storage. These innovations serve to integrate sport and health activities into IoT applications, making them accessible as wearable technology. H2TRAIN combines mature CMOS technology products for health and sport sensing with embedded intelligence as a cross-sectional technology. This combination offers a broad spectrum of technology demonstrators (TD) based on advanced sensors, such as tattoo sweat, C-reactive protein, cortisol and lactate.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2016 - 2019Partners:CUBIT, NTNU, UH, UniPi, CIT +3 partnersCUBIT,NTNU,UH,UniPi,CIT,EICTA,RACTI ,Ministry of Education and Religious AffairsFunder: European Commission Project Code: 710583Overall Budget: 1,794,190 EURFunder Contribution: 1,794,190 EURNowadays we are lucky to have many exciting new technologies available, like Ubiquitous Computing (UbiComp), Mobile Computing (MobiCom) and the Internet of Things (IoT); in the following, we shall refer to them collectively as UMI. These technologies are so modern and powerful that can be both an educational means and end, thus fostering innovation and supporting promising scientific careers. The broad aim of the project is to investigate the introduction of UMI technologies in education. By carefully exploiting state of the art technologies in order to design educational tools and activities, the project aims to offer novel educational services, implement innovative pedagogies and enhance students’ and teachers’ creativity, socialisation and scientific citizenship. We intend to put these technologies in practice, so as to enhance the level of science, technology, engineering and mathematics (STEM) education young girls and boys are receiving and at the same time make attractive the prospect of pursuing a career in domains pervaded by UMI. Inspired by M. Weiser’s idea, a tranquil environment for educational activities will be provided, where technology itself will not star but support the stakeholders of education, including, the educational community (teaching institutions, students, professors, tutors, etc), the industry (UMI companies, VET providers, publishers, etc), career consultants and educational authorities and policy makers. To this end, communities of practice (CoP) will be formed dynamically around UMI projects implemented at schools, including representatives of all necessary stakeholders. In this project we aim to develop an integrated yet open training framework for upper high school students.
more_vert Open Access Mandate for Publications assignment_turned_in Project2015 - 2018Partners:Grenoble INP - UGA, CUBIT, GENERATION RFID, URV, UniPi +1 partnersGrenoble INP - UGA,CUBIT,GENERATION RFID,URV,UniPi,ARDEJE SARLFunder: European Commission Project Code: 645771Overall Budget: 913,500 EURFunder Contribution: 913,500 EUREMERGENT takes up the broader scope of Marie Skłodowska-Curie Research and Innovation Staff Ex-change Scheme of promoting knowledge-sharing-based cooperation and moves its steps forward to actual-ly support and facilitate the movement of skilled people between academia and industry committed to work on a research topic dealing with green chipless RFID tags and sensors. EMERGENT will move towards strengthening of existing inter-sectoral networks between the three EU re-search institutes and the three EU SMEs involved by implementing a total of 68 knowledge transfer se-condments in order to facilitate the joint research and innovation work aiming to realize a new class of chipless RFID tags and sensors moving from conventional sensors towards next generation pervasive interconnected systems by employing environmental-friendly substrates such as paper and low-cost printing process. EMERGENT will design hand in hand with both the chipless tag and sensor a dedicated reader for extracting the desired information. To this aim, novel signal processing algorithms will be developed and tested. EMERGENT will focus on system parameters of prominent relevance reliability, calibration) to assess the true performance of the tag, and to make comparisons among different implementations. The critical issues regarding the sensitivity and resolution of the reader will be carefully addressed and solved. EMERGENT will deliver wireless passive chipless smart tags and sensors able to sense the changing environment by collecting information about quantities of interest which may include temperature, humidity, stress, gases. EMERGENT will enhance the performance and robustness of chipless RFID sys-tems and will bring RFID sensing outside research laboratories towards self-consistent products.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2015 - 2019Partners:EIPCM, CASSA, EURECAT, DMU, Milton Keynes Council +8 partnersEIPCM,CASSA,EURECAT,DMU,Milton Keynes Council,HAGIHON COMPANY LTD,Utrecht University,Climate Alliance,KWR,ATC,Leicester City Council,BASEFORM,CUBITFunder: European Commission Project Code: 687809Overall Budget: 3,747,940 EURFunder Contribution: 3,747,940 EURPOWER is a user-driven project to share knowledge and experience of water related issues in different EU local authorities to create a tool for EU water policy. It addresses four of the eight EIP WATER priorities: 1. Water reduction consumption 2. Water quality 3. Extreme weather events (surface water flood risk) 4. Variables related to water conservation It will develop a common DSP system prototype to be demonstrated in Milton Keynes, Sabadell, Leicester and Jerusalem. It will combine the experience of these Key Demonstration Cities with follower Cities. The followers are members of EIP Water Action Group City Blueprints, NetwercH2O and cities that have already produced a CITY BLUEPRINT. The objectives are: 1. Set up a user-driven Digital Social Platform (DSP) 2. Ensure the involvement of a wide society and knowledge community 3. Ensure social, technological, environmental and political uptake 4. Transfer the POWER model environment to other communities 5. Create new collaborative business models The POWER project will therefore: - Increase the transnational municipal network effect by facilitating unrestricted communication and community involvement - Influence related policy planning and decisions - Offer an innovative and effective open source solution to excluded regions, cities and users, based on a ‘link and scale up’ strategic network - Prioritise social value, scalability, transferability, society empowerment and motivation to act. POWER responds to the call and topic c) challenges by: - harnessing the collaborative nature of ICT to create awareness - reducing the gap between stakeholders of specific city challenges. - addressing scalability and deployment for new cases - involving excluded stakeholders - integrating water issues into economic and social policy .- being based on the networks: EIP Water - Action Group City Blueprints; and NetwercH20 - engaging with decision makers, professionals and the general public
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