
UNISYSTEMS LUXEMBOURG SARL
UNISYSTEMS LUXEMBOURG SARL
19 Projects, page 1 of 4
Open Access Mandate for Publications and Research data assignment_turned_in Project2021 - 2023Partners:University of Bucharest, ENORA INNOVATION IKE, Spitalul Universitar de Urgenta Bucuresti, CATALINK, UNISYSTEMS LUXEMBOURG SARL +10 partnersUniversity of Bucharest,ENORA INNOVATION IKE,Spitalul Universitar de Urgenta Bucuresti,CATALINK,UNISYSTEMS LUXEMBOURG SARL,WELLICS LTD,PLURIBUS ONE SRL,EY Advisory,CERTH,UoA,ICCS,NTNU,FISM ETS,WISE,EDEXFunder: European Commission Project Code: 101017558Overall Budget: 6,053,810 EURFunder Contribution: 6,053,810 EURDirect costs of brain disorders make up for 60% of the total costs – which EBC estimated at 800 bln€/year in Europe. At European level, this health budget far exceeds that of cardiovascular diseases, brain diseases and diabetes together. ALAMEDA will research, develop and exploit the next generation of personalized AI healthcare support systems that improve the rehabilitation treatment of Parkinson’s, Multiple Sclerosis, and Stroke (PMSS) patients. Stemming from very specific clinical use cases, ALAMEDA will develop user-friendly solutions that will be designed and evaluated on the principles of value-based health. The consortium brings together established medical research teams, AI researchers, medical software vendors and healthcare market experts to demonstrate AI-based personalised prediction, prevention, and intervention approach in three (3) real world pilots. Liaisons have been established with projects MULTI-ACT and IDEA-FAST and the carefully structured workplan, embodies an integrated and harmonized approach with active patients’ engagement towards meeting the ALAMEDA objectives and delivering market-relevant outcomes of significant exploitation potential.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2021 - 2024Partners:K3Y, UNISYSTEMS LUXEMBOURG SARL, CNIT, ABB SA, SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED +18 partnersK3Y,UNISYSTEMS LUXEMBOURG SARL,CNIT,ABB SA,SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED,ASTI,Wind (Italy),ERICSSON ESPANA SA,Public Power Corporation (Greece),YERBA BUENA VR EUROPE SL,Maintastic GMBH,University of Patras,INFOCOM,WHIRLPOOL EMEA SPA,UBITECH,INTERNET INSTITUTE LTD,FIVECOMM,HELLENIC TELECOMMUNICATIONS ORGANIZATION SA,Beko Europe Management,UWS,EIGHT BELLS LTD,FORD ESPANA,ILINK NEES TEXNOLOGIES OEFunder: European Commission Project Code: 101016941Overall Budget: 8,023,780 EURFunder Contribution: 5,999,820 EURThe success of 5G technologies depends closely on their ability to attract vertical stakeholders, seeking the move of their services from cloud to the edge to meet unique KPIs. 5G-INDUCE project is based on the belief that such attractiveness requires vertical stakeholders and Network Application (nApp) developers to be able to smoothly deploy and manage applications in distributed 5G network environments, in a secure fashion and with strict KPI requirements. 5G-INDUCE relies on the deployment of an open ETSI NFV compatible 5G orchestration platform for the deployment of advanced 5G nApps. The platform’s unique features provide the capability to the nApp developers to define and modify the application requirements while the underlay intelligent OSS can expose the network capabilities to the end users on the application level without revealing any infrastructure related information. This process enables an application-oriented network management and optimization approach that is in line with the operator’s role as manager of its own facilities, while it offers the operational environment to any developers and service providers through which tailored made applications can be designed and deployed, for the benefit of vertical industries and without any indirect dependency through a cloud provider. The project focuses on the Industry 4.0 vertical sector, as one of the fastest growing and most impactful sectors in European economy with high potentials for service development SMEs and with the capability to tackle all diverse cases of service requirements. The platform is integrated over 3 5G Experimentation Facilities in Spain, Greece, and Italy, and extended with links towards specific Industries, for the showcasing of nApps in real 5G environment. The consortium includes all the required stakeholders (MNOs, Industries, System integrators and SMEs) from the benefited business sectors evaluated in the project, while significant part of the work (>50%) is conducted by innovative SMEs.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2021 - 2024Partners:AMT DER NIEDEROSTERREICHISCHEN LANDESREGIERUNG, UNI SYSTEMS INFORMATION TECHNOLOGY SYSTEMS COMMERCIAL S.M.S.A., DELOITTE CONSULTING SRL SOCIETA BENEFIT, KUL, UBITECH LIMITED +8 partnersAMT DER NIEDEROSTERREICHISCHEN LANDESREGIERUNG,UNI SYSTEMS INFORMATION TECHNOLOGY SYSTEMS COMMERCIAL S.M.S.A.,DELOITTE CONSULTING SRL SOCIETA BENEFIT,KUL,UBITECH LIMITED,REGION OF THESSALY,CERTH,MITA,RIDE TECHNOLOGIES DOO,University of Macedonia,CITY OF BJELOVAR,Danube University Krems,UNISYSTEMS LUXEMBOURG SARLFunder: European Commission Project Code: 962563Overall Budget: 3,287,000 EURFunder Contribution: 3,287,000 EURToday public authorities need to provide better services with fewer resources. Citizens require accessible, user-friendly, personalised, and integrated public services that match their needs and circumstances. At the same time, trust in the public sector deteriorates. We argue the solution rests in enhancing existing relevant EU work (on policies, models, frameworks, roadmaps etc) by adopting best research and practice (e.g. in public service co-creation) and by exploiting relevant technologies particularly mobile apps, virtual assistants (chatbots), knowledge graphs, and linked data. We acknowledge that for many years, the EU is providing useful practical advice including frameworks (e.g. EIF), models (e.g. CPSV), architectures (e.g. EIRA), roadmaps, etc. These however are not directly applicable anymore as they do not incorporate the latest research and practice, e.g. in public service co-creation. Similarly, research is not related to EU work and practice is not related to research. The vision of the inGov project is to provide innovative ICT-supported governance models as well as mobile apps including chatbots, which will enable stakeholders' collaboration in co-producing inclusive and accessible Integrated Public Services (IPS) thus increasing trust and satisfaction. For that purpose, multidisciplinary scientific methods will be used including design science, multiple case study and variants of the technology acceptance model. The project results will be piloted in Malta to modernise the digital family household public service (affecting 200,000 households), in Austria to deploy IPS for collecting tourism tax (affecting 3,200 accommodation providers), in Greece to digitise the disabled card renewal service (benefiting 11,500 disabled, low-income citizens) and in Croatia to create AI-driven virtual assistants and services (affecting 32,000 citizens). We aim to feed our results back to EU policies hence achieving alignment between policies, research and practice.
more_vert Open Access Mandate for Publications assignment_turned_in Project2020 - 2023Partners:National Centre of Scientific Research Demokritos, eBOS Technologies (Cyprus), Lancaster University, UBITECH LIMITED, Thalgo (France) +10 partnersNational Centre of Scientific Research Demokritos,eBOS Technologies (Cyprus),Lancaster University,UBITECH LIMITED,Thalgo (France),CERTH,K3Y,SECURA BV,NOKIA SOLUTIONS AND NETWORKS HELLAS SA,WHITE RESEARCH SPRL,EIGHT BELLS LTD,INFITHEON,IANUS,UNISYSTEMS LUXEMBOURG SARL,MIFunder: European Commission Project Code: 952672Overall Budget: 4,999,730 EURFunder Contribution: 4,999,730 EURThe project involves 15 Partners from 8 European countries, and aims to design and develop an analySis software scheme of uNiform statistiCal sampling, aUdit and defence proceSses (SANCUS – an Roman god of trust). The main idea draws on formalising the logic of expressing (for the first time) the notions of cyber security and digital privacy by means of final formulas and fuse them into optimisation strategies to acquire the truly optimum defence recommendation in dynamic manner, i.e., with respect to the runtime changes of the telecommunications network environment. In this respect, SANCUS will dimension new inclusive Key Performance Indicator metric, namely, the security-vs-privacy-vs-reliability efficiency trade-off, for measuring the system network cybersecurity and privacy performance explicitly, flexibly, automatically and agnostically. To realise the heterogeneity of the security and privacy levels across the system network and its supply chain, the proposed scheme sits on six efficient engines, namely, FiV, CiV, SiD, AcE, MiU and GiO, which combine unique modelling of the Internet of Things units, cuttingedge methods for automated firmware and software validation and verification, and innovative Artificial Intelligence driven game techniques for the automated optimisation of the control and trust of digital services. Extended evaluations of the project outcomes are also considered by means of developing contemporary network testbed prototype built on latest 5G and cloud-native system setting and running three pilot use cases for examining the scheme performance across Firmware, Virtualisation and Management software layers. The SANCUS scheme will be delivered as integrated software suite and it is expected to revolutionise the European research and development efforts, in and out, the cybersecurity regime. All outcomes are planned to be audited and disseminated extensively.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2023 - 2026Partners:COSMOTE, DIFLY, AV Living Lab, HELLENIC TRAIN S.A., . +23 partnersCOSMOTE,DIFLY,AV Living Lab,HELLENIC TRAIN S.A.,.,POSTA SLOVENIJE DOO,TUW,ITL,ROBOTNIK,TUC,CERTH,UNISYSTEMS LUXEMBOURG SARL,EPSILON INTERNATIONAL LTD,UM,UNIMORE,INCITES CONSULTING SA,SPINITALIA,UoA,University Of Thessaly,A.C CODEWHEEL LTD,ISIG,ACS A.E.E,HELLENIC TELECOMMUNICATIONS ORGANIZATION SA,INTRASOFT International,QLOUD TECHNOLOGIES OÜ,ONE LESS VAN SRL,SIDROCO HOLDINGS LIMITED,URBICO S.R.L.Funder: European Commission Project Code: 101104278Overall Budget: 9,531,490 EURFunder Contribution: 7,743,670 EURLogistics industry is facing continuous and significant challenges during the recent years. The trend is the adoption of intelligent services for increasing the performance of the provided systems and synchromodal operations. Transfers and deliveries can benefit from the use of novel business models that adopt the aforementioned intelligent services when the optimization of the use of shared resources is the core target and become the basis for the provision of a climate friendly infrastructure. The goal of synchromodal operations and the integration of heterogeneous logistics services is the reduction of current transfers in order to reduce the carbon footprint while securing the uninterrupted deliveries and the resilience to any disruptive event. TRACE targets to the aforementioned integration activities offering a universal platform with functionalities related to planning, scheduling, optimization and events management as well as the use of blockchain technology to facilitate the real time conclusion of smart contracts and financial operations, thus, becoming one of the first attempts to provide an ‘intelligent cover’ upon the current logistics frameworks. TRACE envisions real demonstrators in different European countries with different goals that start from transportations with the use of shared resources, the disruptive events detection and re-scheduling of transfers while concluding with the use of unmanned vehicles to automate the last mile deliveries. TRACE also proposes new transfer corridors, safe areas where unmanned vehicles can collect items towards the final destination and new (virtual) hubs. TRACE will perform studies related to the barriers towards the new logistics era, the new business opportunities, the requirements for the legislation and regulatory frameworks and expose the benefits of the proposed approach in terms of the reduction for energy demand and emissions while limiting the operational costs for logistics stakeholders.
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