The list of national projects SAS

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Institute: Institute of Informatics

Security of Air Transport Infrastructure of Europe (SATIE)
Bezpečnosť infraštruktúry leteckej dopravy v Európe
Program: Horizon 2020
Project leader: Ing. Rusko Milan PhD.
Annotation:The twenty-first century experiments a digital revolution that simplifies flight and cross-border. Digitalization contributes to leverage information sharing, reduce exploitation costs and improve travel experience, but it also blurs the lines between virtual world and reality with serious security matters. In the meanwhile airports face a daily challenge to ensure business continuity and passengers’ safety. SATIE adopts a holistic approach about threat prevention, detection, response and mitigation in the airports, while guaranteeing the protection of critical systems, sensitive data and passengers. Critical assets are usually protected against individual physical or cyber threats, but not against complex scenarios combining both categories of threats. In order to handle it, SATIE develops an interoperable toolkit which improves cyber-physical correlations, forensics investigations and dynamic impact assessment at airports. Having a shared situational awareness, security practitioners and airport managers collaborate more efficiently to the crisis resolution. Emergency procedures can be triggered simultaneously through an alerting system in order to reschedule airside/landside operations, notify first responders, cybersecurity and maintenance teams towards a fast recovery. Innovative solutions will be integrated on a simulation platform in order to improve their interoperability and to validate their efficiency. Three demonstrations will be conducted at different corners of Europe (Croatia, Italy and Greece) in order to evaluate the solutions in operational conditions (TRL≥7). Results and best practises will be widely disseminated to the scientific community, standardization bodies, security stakeholders and the aeronautic community. Finally, SATIE paves the way to a new generation of Security Operation Centre that will be included in a comprehensive airport security policy.
Duration: 1.5.2019 - 30.4.2021

European Open Science Cloud - Expanding Capacities by building Capabilities (EOSC-Synergy)
Európsky cloud pre otvorenú vedu – rozšírenie kapacít budovaním infraštruktúrneho potenciálu
Program: Horizon 2020
Project leader: doc. Ing. Hluchý Ladislav CSc.
Annotation:EOSC-synergy extends the EOSC coordination to nine participating countries by harmonizing policies and federating relevant national research e-Infrastructures, scientific data and thematic services, bridging the gap between national initiatives and EOSC. The project introduces new capabilities by opening national thematic services to European access, thus expanding the EOSC offer in the Environment, Climate Change, Earth Observation and Life Sciences. This will be supported by an expansion of the capacity through the federation of compute, storage and data resources aligned with the EOSC and FAIR policies and practices. EOSC-synergy builds on the expertise of leading research organizations, infrastructure providers, NRENs and user communities from Spain, Portugal, Germany, Poland, Czech Republic, Slovakia, Netherlands, United Kingdom and France, all already committed to the EOSC vision and already involved in related activities at national and international level. Furthermore, we will expand EOSC’s global reach by integrating infrastructure and data providers beyond Europe, fostering international collaboration and open new resources to European researchers. The project will push the EOSC state-of-the-art in software and services life-cycle through a quality-driven approach to services integration that will promote the convergence and alignment towards EOSC standards and best practices. This will be complemented by the expansion of the EOSC training and education capabilities through the introduction of an on-line platform aimed at boosting the development of EOSC skills and competences. EOSC-synergy complements on-going activities in EOSC-hub and other related projects liaising national bodies and infrastructures with other upcoming governance, data and national coordination projects.
Duration: 1.9.2019 - 28.2.2022

Integrating and managing services for the European Open Science Cloud (EOSC-hub)
Integrovanie a manažment služieb pre európsky cloud pre otvorenú vedu
Program: Horizon 2020
Project leader: doc. Ing. Hluchý Ladislav CSc.
Annotation:The EOSC-hub project creates the integration and management system of the future European Open Science Cloud that delivers a catalogue of services, software and data from the EGI Federation, EUDAT CDI, INDIGO-DataCloud and major research e-infrastructures. This integration and management system (the Hub) builds on mature processes, policies and tools from the leading European federated e-Infrastructures to cover the whole life-cycle of services, from planning to delivery. The Hub aggregates services from local, regional and national e-Infrastructures in Europe, Africa, Asia, Canada and South America. The Hub acts as a single contact point for researchers and innovators to discover, access, use and reuse a broad spectrum of resources for advanced data-driven research. Through the virtual access mechanism, more scientific communities and users have access to services supporting their scientific discovery and collaboration across disciplinary and geographical boundaries. The project also improves skills and knowledge among researchers and service operators by delivering specialised trainings and by establishing competence centres to co-create solutions with the users. In the area of engagement with the private sector, the project creates a Joint Digital Innovation Hub that stimulates an ecosystem of industry/SMEs, service providers and researchers to support business pilots, market take-up and commercial boost strategies. EOSC-hub builds on existing technology already at TRL 8 and addresses the need for interoperability by promoting the adoption of open standards and protocols. By mobilizing e-Infrastructures comprising more than 300 data centres worldwide and 18 pan-European infrastructures, this project is a ground-breaking milestone for the implementation of the European Open Science Cloud.
Duration: 1.1.2018 - 31.12.2020

An individual stimulating system with 3D nano-structure carbon/graphene based transducer and wireless heater for automated tiny insects behavior monitoring
Monitorovací a stimulačný systém s 3D snímačom a mikro-ohrievačom na báze uhlíka/grafénu s bezdrôtovým ovládaním pre automatizované individuálne monitorovanie a stimuláciu drobného hmyzu
Program: JRP
Project leader: Ing. Mgr. Andok Robert PhD.
Annotation:This project is a collaboration project with the Department of Power Mechanical Engineering, National Tsing Hua University in Taiwan (NTHU). In this project, a system that could monitor and analyze insect behavior will be developed. Such system can detect the position of the insect and stimulate insects individually in real-time. Generally, this project is divided into three parts: 1. Designing and manufacturing a 3D micro transducer. 2. Designing and manufacturing an individual stimulator made by the wireless heater. 3. Designing a monitoring and analysis system that could observe the behavior of tiny insects systematically. The parameters of the experimental setup are designed based on the characteristics of the Drosophila organism model (made at NTHU), which can also be used on other tiny insects. The nearly negligible weight and size of the insects is what makes them hard to locate in real-time. By using the electron beam lithography and reactive-ion etching equipment that II SAS provides, a micro bridge structure will be developed. After that, 3D nano carbon/graphene material will be grown onto the structure and the resulting device is a highly sensitive micro transducer that can measure small increments in weight. By placing such transducers all around the experimental platform, the precise position of the insects can be monitored. A wireless heater is installed on to the body of the insects to stimulate them individually under certain circumstances. This heater is made by connecting a nanometric diamond film with a high density micro coil produced at II SAS. By exerting electromagnetic waves of certain frequency (this frequency is related to the size of the coil), electromagnetic induction will occur and the device will heat up stimulating the insect. By using the two devices mentioned above, together with a camera, image processing algorithms, and other hardware equipment, such as a camera stand and a container to place the flies, a system that is used to observe the behavior of small insects, will be developed. The capability of stimulating individual insects and tracking them simultaneously brings up new possibilities of designing more complicating experiments regarding the social behavior of insects. It is the experience of dealing with living organisms and the techniques of manufacturing nano-scale structures that both parties will exchang with each other that can make the development of this system such successful. From this collaboration between II SAS and NTHU more novel nanoscale devices are expected in near future. Drosophilas are commonly used in this project as a model organism. The hierarchical structure of their brains resembles the brain of a mammal, which constitutes to their complicated social behavior. As a broader impact of the results of this bilateral cooperation, by observing the social behavior of these flies, insight on typical human brain disorders (such as the Parkinson’s, the Alzheimer’s, and the Huntington’s disease), neural networks, and biological evolution could be gained. Therefore, the results of this project may also affect wider areas of research, including life and medical sciences.
Duration: 1.1.2018 - 31.12.2020

Designing and Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud (DEEP-HybridDataCloud)
Návrh a sprístupnenie e-infraštruktúr pre intenzívne spracovanie v hybridnom dátovom cloude
Program: Horizon 2020
Project leader: doc. Ing. Hluchý Ladislav CSc.
Annotation:The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low latency interconnects, to explore very large datasets. A Hybrid Cloud approach enables the access to such resources that are not easily reachable by the researchers at the scale needed in the current EU e-infrastructure. We also propose to deploy under the common label of “DEEP as a Service” a set of building blocks that enable the easy development of applications requiring these techniques: deep learning using neural networks, parallel post-processing of very large data, and analysis of massive online data streams. Three pilot applications exploiting very large datasets in Biology, Physics and Network Security are proposed, and further pilots for dissemination into other areas like Medicine, Earth Observation, Astrophysics, and Citizen Science will be supported in a testbed with significant HPC resources, including latest generation GPUs, to evaluate the performance and scalability of the solutions. A DevOps approach will be implemented to provide the chain to ensure the quality of the software and services released, that will also be offered to the developers of research applications. The project will evolve to TRL8 existing services and technologies at TRL6+, including relevant contributions to the EOSC by the INDIGO-DataCloud H2020 project, that the project will enrich with new functionalities already available as prototypes, notably the support for GPUs and low latency interconnects. These services will be deployed in the project testbed, offered to the research communities linked to the project through pilot applications, and integrated under the EOSC framework, where they can be further scaled up in the future.
Duration: 1.11.2017 - 30.4.2020

PROviding Computing solutions for ExaScale challengeS (PROCESS)
Poskytovanie výpočtových riešení pre výzvy v oblasti ExaScale
Program: Horizon 2020
Project leader: doc. Ing. Hluchý Ladislav CSc.
Annotation:The PROCESS demonstrators will pave the way towards exascale data services that will accelerate innovation and maximise the benefits of these emerging data solutions. The main tangible outputs of PROCESS are five very large data service prototypes, implemented using a mature, modular, generalizable open source solution for user friendly exascale data. The services will be thoroughly validated in real-world settings, both in scientific research and in industry pilot deployments. To achieve these ambitious objectives, the project consortium brings together the key players in the new data-driven ecosystem: top-level HPC and big data centres, communities – such as Square Kilometre Array (SKA) project – with unique data challenges that the current solutions are unable to meet and experienced e-Infrastructure solution providers with an extensive track record of rapid application development. In addition to providing the service prototypes that can cope with very large data, PROCESS addresses the work programme goals by using the tools and services with heterogeneous use cases, including medical informatics, airline revenue management and open data for global disaster risk reduction. This diversity of user communities ensures that in addition to supporting communities that push the envelope, the solutions will also ease the learning curve for broadest possible range of user communities. In addition, the chosen open source strategy maximises the potential for uptake and reuse, together with mature software engineering practices that minimise the efforts needed to set up and maintain services based on the PROCESS software releases.
Duration: 1.11.2017 - 30.10.2020

Fire in Earth System: Science & Society (FIRElinks)
Požiar v systéme Zeme: výskum & spoločnosť
Program: COST
Project leader: RNDr. Glasa Ján CSc.
Duration: 1.6.2019 - 1.6.2023

Social Network of Machines
Sociálna sieť strojov
Program: ERANET
Project leader: Ing. Balogh Zoltán PhD.
Annotation:This project proposes to investigate the impact of the use of autonomous social agents to optimise manufacturing process in the framework of Industry 4.0. "Social" means that cyber-physical entities will act autonomously in order to optimize an industrial process following behaviour models inspired by human social networks. Currently, in Industry 4.0, smart entities do exist. However, intelligence is localised and intelligent heterogeneous entities cannot communicate together even inside the same shop-floor. Our motivation comes from the observation that, if we want to create a real Internet of Everything that brings together processes, data, things, and people, all these entities have to be connected and follow a shared, easy to understand paradigm. In this project, we propose a holistic multi-agent paradigm that encompasses machines and humans. The presence of human operators is therefore crucial both to teach to and to learn from software agents, via deep learning and data mining algorithms. Agents will take decisions merging and analysing big and heterogeneous data produced by sensors (vibration, temperature, etc.), automation and information systems (such as enterprise resource planning and manufacturing execution system), and humans in real-time. The design and evaluation of the SOON system will be performed through predictive maintenance scenarios in collaboration with three different industrial companies (in Slovakia, Spain and Switzerland). Such collaboration will enable the project consortium to assess the concrete improvement on specific industrial processes. As application scenario, the project will focus on the predictive maintenance tasks. We believe that the arrival of Industry 4.0 revolution combined with recent improvements in machine learning, and the application of autonomous multi-agent architecture can finally bring disruptive innovation in industrial process optimization and modelling.
Duration: 1.3.2019 - 28.2.2022

Wider Impacts and Scenario Evaluation of Autonomous and Connected Transport (WISE-ACT)
Zhodnotenie širších dopadov a scenárov zavedenia autonómnej a kombinovanej dopravy
Program: COST
Project leader: RNDr. Glasa Ján CSc.
Duration: 1.3.2019 - 1.3.2021

Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice
Zvýšenie aplikovateľnosti prírodou inšpirovaných optimalizačných metód prepájaním teórie a praxe.
Program: COST
Project leader: Ing. Budinská Ivana PhD.
Annotation:The main objective of the COST Action is to bridge this gap and improve the applicability of all kinds of nature-inspired optimisation methods. It aims at making theoretical insights more accessible and practical by creating a platform where theoreticians and practitioners can meet and exchange insights, ideas and needs; by developing robust guidelines and practical support for application development based on theoretical insights; by developing theoretical frameworks driven by actual needs arising from practical applications; by training Early Career Investigators in a theory of nature-inspired optimisation methods that clearly aims at practical applications; by broadening participation in the ongoing research of how to develop and apply robust nature-inspired optimisation methods in different application areas.
Duration: 9.3.2016 - 8.3.2020

The total number of projects: 10