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R G B MEDICAL DEVICES SA
Country: Spain
6 Projects, page 1 of 2
  • 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: 783162
    Overall Budget: 22,469,900 EURFunder Contribution: 6,726,020 EUR

    The objective of FitOptiVis is to develop an integral approach for smart integration of image- and video-processing pipelines for CPS covering a reference architecture, supported by low-power, high-performance, smart devices, and by methods and tools for combined design-time and run-time multi-objective optimisation within system and environment constraints. Low latency Image processing is often crucial for autonomy, and performing the right interaction of the CPS with its environment. The most important CPS in the project have sensors and processing at distributed places. For many reasons (parts of) CPS has to operate on low energy, whereas the complete system needs results with low latency. The focus of the project is on multi-objective optimisation for performance and energy use. However, other qualities, like reliability, security etc. also play a role in the optimisation.

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  • Funder: European Commission Project Code: 101095542
    Overall Budget: 3,489,620 EURFunder Contribution: 3,489,620 EUR

    Accelerated digitalisation in health sector brings opportunities for cost-effective and efficient delivery of personalised care, through medical devices (including software) connected to IT networks and increasingly combined with novel technologies (AI, cloud computing, blockchain or 5G networks) and simultaneously Europe is witnessing an increase in the complexity and sophistication of attacks threatening such critical infrastructure. CYLCOMED addresses the overall ambitious goal of strengthening the cybersecurity of connected, in vitro diagnostic and software as medical devices (CMDs, IVDs, SaMD), maintaining their performance and safety for patients and preserving or enhancing the confidentiality, integrity and availability of private data they exchange or allow to be remotely accessed and focusing on humans operating the technology as the weakest link in the chain for security and privacy, with training and awareness measures tailored to healthcare staff needs. It does so by enabling adoption by all ecosystem stakeholders of technologically sovereign and trustworthy cybersecurity methodologies and toolboxes for connected medical devices and the environments in which they are managed and operate (platforms), complemented with fit-for-purpose guidance covering identifed risks and gaps. It will further deliver: (i) risk assessment framework with risk benefit analyses schemes and (ii) toolbox addressing cybersecurity risks and gaps in connected medical devices;(iii) assessment and extension of baseline standards, best practices and guidelines covering challenges for CMDs including SW, making them fit for purpose when used in conjunction with novel technologies; (iv) demonstrations and case studies in relevant on premise hospital scenarios (COVID-19 patients monitoring) and remote telemonitoring scenarios improving the life of paediatric patients. CYLCOMED has 9 partners from 7 EU Member States and 1 associate partner from Switzerland and a duration of 36 months.

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  • Funder: European Commission Project Code: 101020259
    Overall Budget: 5,894,110 EURFunder Contribution: 5,894,110 EUR

    The deployment of IoT systems are increasing worldwide, but so does security incidents like ransomware and cyber-extortion, which are not sufficiently covered by current cybersecurity practices and will proliferate with upcoming technologies like 5G. At the same pace, attacks are becoming more sophisticated, requiring reinforced cybersecurity competencies, as well as more effective mechanisms for detection and mitigation of attacks. ARCADIAN-IoT established the goal to develop and make available an innovative, advanced framework for trust, security and privacy management in IoT systems to promote trustworthy IoT systems. ARCADIAN-IoT will accelerate the development towards decentralized, transparent and user controllable privacy in three real use cases: Emergency and vigilance using drones and IoT; Monitoring of grid infrastructure; and medical IoT devices for telemonitoring and follow-up of cancer patients. ARCADIAN-IoT aims to fill a gap in the IoT threat intelligence landscape by providing a novel IoT- specific Cyber Threat Intelligence (CTI) approach, which supports integrated, automated and privacy- preserved IoT threat information sharing. ARCADIAN-IoT will research distributed ledger technologies to enable decentralized trust management and will leverage on federated AI for effective cybersecurity solutions complying with privacy regulations. ARCADIAN-IoT will act as an enabler of IoT systems in future networks by including eSIM technology with over the air management support for devices, and to enhance identity management through trusted hardware – Root of Trust (RoT). ARCADIAN-IoT will enable a Chain of Trust (CoT) to address identity, trust and recovery considering the multiple entities in IoT systems: persons, IoT devices/objects and Apps/services. At last, ARCADIAN-IoT will enhance cybersecurity awareness of stakeholders through a cybersecurity training package.

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  • Funder: European Commission Project Code: 737475
    Overall Budget: 15,512,800 EURFunder Contribution: 4,612,950 EUR

    There is an ever increasing complexity of the systems we engineer in modern society, which includes facing the convergence of the embedded world and the open world. This complexity creates increasing difficulty with providing assurance for factors including safety, security and performance - particularly for safety critical systems such as the transportation, aerospace and the industrial control domains. In this project we will focus on the following: • Safety/Security/Performance to be considered together, during the overall life cycle of our products. • Flexibility across domains. • Consolidate the industrial market by reducing costs and increasing system quality and maintaining compliance with more and more exacting standards. • Improved tool features and capabilities

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