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CY.R.I.C CYPRUS RESEARCH AND INNOVATION CENTER LTD

Country: Cyprus
22 Projects, page 1 of 5
  • Open Access mandate for Publications
    Funder: EC Project Code: 867928
    Overall Budget: 71,429 EURFunder Contribution: 50,000 EUR
    Partners: CY.R.I.C CYPRUS RESEARCH AND INNOVATION CENTER LTD

    Gait dynamics’ monitoring and Energy Expenditure (EE) calculation is of high importance for patients with chronic diseases affecting normal walking, for individuals after injuries & surgery, as well as for older adults, in order to early detect and correct gait problems or accelerate rehabilitation. The need extends to the multibillion industry of professional athletes for a) load management (injury prevention, performance optimisation), b) accelerated recovery from a lower limb injury, c) running efficiency optimization and precise body control. Due to the significant drawbacks of market available systems (high price, difficult to use software, necessity to operate under expert supervision, intrusiveness), gait analysis is used less often than would actually be required. For patients & clinics, this has an impact on rehabilitation time & cost, as well as on the timely detection of certain medical conditions. For athletes, this has an impact on costs related to delayed rehabilitation, but also on increased cost for injuries that could have been avoided. insofeet is a completely non-intrusive insole for measuring accurately key gait dynamics’ parameters and EE. The insofeet insoles are capable of fitting in different shoe types. The insofeet insole integrates highly accurate miniature force sensors in a customisable design, adaptable to the application. Sensor measurements are collected in real-time, processed through validated algorithms and presented through a friendly interface. What differentiates insofeet from the competition is its unparalleled accuracy, comparable to hi-end professional solutions at a price 15 times lower. An EU/WO patent application was submitted by CyRIC. Our goal is to bring the insofeet solution to market, after preparing an elaborate business plan. According to our initial plan, within 5 years from insofeet commercialisation, revenues will reach an annual total of approximately 7.8 M and 25 new jobs for CyRIC will be created.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 101093015
    Overall Budget: 3,694,300 EURFunder Contribution: 3,694,300 EUR
    Partners: DTU, TELE2 EESTI AKTSIASELTS, FAU, ADVA Optical Networking SE, NKT PHOTONICS A/S, CY.R.I.C CYPRUS RESEARCH AND INNOVATION CENTER LTD, WATERBOARD OF NICOSIA

    Today’s fiber optical sensor systems show very promising performance and are well suited for numerous sensing tasks. Despite the enormous progress that has been made for fiber sensors, these systems are still more of a niche solution. Adaptive, modular sensor systems with flexibility regarding the sensing concept, fiber-based sensor type, sensor or sensor network configuration and measured quantities are highly desired but not available at this time. For example, already installed fiber infrastructure along railroad tracks or in buildings are hardly used in such systems. Nevertheless, there is an enormous potential to realize sensing networks by using the existing fiber infrastructure for both purposes, carrying data and perform sensing. Furthermore, a cloud-based digital control software defined setup, advanced signal processing with methods of machine learning, digital twin technologies and cloud-based interfacing to monitor the system performance are required and motivate further research and development in this field. There are though specific challenges to be addressed: SoFiN addresses these challenges, contributing to adaptive photonic multi-sensing systems with focus on: a)developing & testing a novel flexible, adaptive, modular, software-defined sensor platform b)studying ways to establish sensing options in existing communication fiber networks c)developing new laser types, sensor elements & sensing approaches compatible with fiber sensing d)studying concepts for ML-based signal processing and digital twin sensor system modelling e)developing machine learning tools that can handle large amounts of incoming data f)researching on ML tools that can enhance the signal-to-noise-ratio (SNR) and provide ultimate sensitivity g)developing centralized processing unit that integrates all sensory input data h)developing and implementing concepts for cloud-based system control i)performing a system test in a near to operational environment in different case studies

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 101092697
    Overall Budget: 4,999,820 EURFunder Contribution: 4,999,820 EUR
    Partners: CY.R.I.C CYPRUS RESEARCH AND INNOVATION CENTER LTD, NANOPLUS, UNIVERSITE GUSTAVE EIFFEL, QUANTARED TECHNOLOGIES GMBH, VIGO, SI-WARE-SYSTEMS, TUW, CRA-W, SENSEEN

    There is a continuously increasing need for miniaturised sensors providing simultaneous access to multiple chemical and biochemical parameters sensing. Optical spectroscopy is the golden standard for the identification and quantitative measurement of several chemicals simultaneously, using a single device: a spectrometer. Challenge #1: Conventional FTIR spectrometers are bulky benchtop instruments. Regarding PTS for gas sensing, the proof-of-concept has only recently been validated at macroscopy scale. Considering field deployment of such spectrometers, the main challenges are related to the production cost, ruggedness & size of the instrument. Challenge #2: A key advantage of FTIR absorption spectroscopy is its broad spectral range in the MIR range, where fundamental molecular vibrational tones have large absorption cross section. However, while conventional benchtop FTIR spectrometers can operate up to 25000 nm or more, it is still a big challenge when considering miniature spectrometers to reach a wide spectral range coupled with high sensitivity. SIWARE recently developed an ultra-compact, MEMS-based, FTIR spectrometer. The commercial product, NeoSpectra, is operating in the Near-Infrared range up to 2500 nm. BROMEDIR will address the aforementioned challenges and make an important step towards meeting the related need, using Neospectra as a Spectroscopy Development Platform, targeting though the development of a radically new spectrometer with multiple extensions of its capabilities beyond the SotA. In parallel, a novel, miniaturised PTS spectrometer will be developed, taking advantage of the same silicon-MEMS technology platform that has been used for the development of the PIC used in Neospectra’s FTIR chip. In BROMEDIR, this new generation of miniature spectrometers will be used to develop sensing platforms, to be demonstrated in 3 application domains: a) sustainable farming, b) hydrogen supply chain quality monitoring and c) fuel quality control

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 691025
    Overall Budget: 2,160,000 EURFunder Contribution: 2,160,000 EUR
    Partners: UCL, Telefonica Research and Development, Roma Tre University, SG, INNOVATORS, AUTH, CY.R.I.C CYPRUS RESEARCH AND INNOVATION CENTER LTD, LSTECH LTD, CUT

    ENCASE will leverage the latest advances in usable security and privacy to design and implement a browser-based architecture for the protection of minors from malicious actors in online social networks. The ENCASE user-centric architecture will consist of three distinct services, which can be combined to form an effective protective net against cyberbullying and sexually abusive acts: a) a browser add-on with its corresponding scalable back-end software stack that collects the users’ online actions to unveil incidents of aggressive or distressed behavior; b) a browser add-on with its associated scalable software stack that analyses social web data to detect fraudulent and fake activity and alert the user; and c) a browser add-on that detects when a user is about to share sensitive content (e.g., photos or address information) with an inappropriate audience and warns the user or his parents of the imminent privacy threat. The third add-on has usable controls that enable users to protect their content by suggesting suitable access lists, by watermarking, and by securing the content via cryptography or steganography. The three browser add-ons and the back-end social web data analytics software stack will be assessed with user studies and piloting activities and will be released to the public. The foundation of the research and innovation activities will be a diligently planned inter-sectorial and interdisciplinary secondment program for Experienced and Early Stage Researchers that fosters knowledge exchange. The academic partners will contribute know-how on user experience assessment, large scale data processing, machine learning and data-mining algorithm design, and content confidentiality techniques. The industrial partners will primarily offer expertise in production-grade software development, access to real-world online social network data, and access to numerous end-users through widely deployed products.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 101006747
    Overall Budget: 7,576,810 EURFunder Contribution: 5,981,060 EUR
    Partners: TEKNOLOGIAN TUTKIMUSKESKUS VTT OY, Università degli Studi Niccolò Cusano, IDIADA, CY.R.I.C CYPRUS RESEARCH AND INNOVATION CENTER LTD, AUVE TECH OUE, AVL SOFTWARE AND FUNCTIONS GMBH, SCIRE, TED, UL, SENSIBLE 4 OY

    Transport related emissions and urbanisation are creating an unparalleled demand for less polluting and efficient means of moving. Tackling the challenge is imperative and it calls for comprehensive understanding of the landscape, its every aspect and innovative mindset. It is a well-known fact that electric vehicles are a big part of the solution (combined with renewable energy production). We aim at developing and demonstrating an innovative, modular vehicle concept that is just perfect for the urban needs: zero emission, compact, safe and rightsized for the mission. Furthermore, we aim at intensifying the utilisation of the vehicles through versatile designing to promote, e.g., multipurpose usage and shared concepts. The key technical innovations of our RECONFIGURABLE LIGHT ELECTRIC VEHICLE, REFLECTIVE, vehicle are: 1) modular, scalable, electric powertrain and reconfigurable interiors fit from L7 quadricycles to M1/A vehicles; 2) supreme structural and active safety proven in Euro NCAP crash test and real life experiments of our L7 demonstrator vehicles; 3) added usability and comfortability through adaptable charging solution combining conductive and wireless charging and limited automated features. To conclude, we aim at introducing a L7 demonstration vehicle that meets the highest quality and safety standards with an affordable price making it an irresistible choice for any urban environment and use case. No such solution exists at the market and our primary aim is to bridge this gap.