Explore the words cloud of the EXCELL project. It provides you a very rough idea of what is the project "EXCELL" about.
The following table provides information about the project.
Coordinator |
MAGYAR TUDOMANYOS AKADEMIA SZAMITASTECHNIKAI ES AUTOMATIZALASI KUTATOINTEZET
Organization address contact info |
Coordinator Country | Hungary [HU] |
Project website | https://www.excell-project.eu/ |
Total cost | 996˙775 € |
EC max contribution | 996˙775 € (100%) |
Programme |
1. H2020-EU.4.b. (Twinning of research institutions) |
Code Call | H2020-TWINN-2015 |
Funding Scheme | CSA |
Starting year | 2016 |
Duration (year-month-day) | from 2016-01-01 to 2018-12-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | MAGYAR TUDOMANYOS AKADEMIA SZAMITASTECHNIKAI ES AUTOMATIZALASI KUTATOINTEZET | HU (BUDAPEST) | coordinator | 317˙875.00 |
2 | FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. | DE (MUNCHEN) | participant | 231˙875.00 |
3 | ASTON UNIVERSITY | UK (BIRMINGHAM) | participant | 225˙650.00 |
4 | KATHOLIEKE UNIVERSITEIT LEUVEN | BE (LEUVEN) | participant | 221˙375.00 |
EXCELL foresees the collaboration of academics from 4 EU countries (HU, DE, UK, BE) in the multidisciplinary topic of Big Data Applications for Cyber-Physical Systems in Production and Logistics Networks. The main scientific and innovation focus of EXCELL was devised both from world-wide tendencies and local requirements (expressed by the regional S3), departing from the present competences of the cooperating partners (SZTAKI, Fraunhofer-FIT, Aston, and KU Leuven). Main project actions focus on: • Knowledge acceleration through transnational secondments and training sessions in 8 selected Priority Research Fields (PRFs) and 6 Complementary Skills, • Supporting exploitation of research results and user-driven innovation, • Augmenting scientific impact actions through key publications and active participation in the scientific discourse, • Dissemination and sustainable innovation. The 8 PRFs are: 1.Cyber-Physical Systems and Human System Interaction (responsible Fraunhofer), 2.Business-based Internet of Things and Services (resp. Fraunhofer), 3.Next-generation Authentication and Authorization Solutions (resp. KU Leuven), 4.Enhanced Context-aware Services (resp. KU Leuven), 5.Cognitive modelling and social networking approaches (resp. ASTON), 6.Data mining (resp. ASTON), 7.Data interoperability (resp. SZTAKI), 8.Tracking and tracing (resp. SZTAKI). The Complementary Skills include: Technology transfer and results deployment to industry, Emotional intelligence, Motivating others, Personal impact, Stress management for managers, and Hands-on experience by using and contributing to software tools. EXCELL activities are aligned towards 4 major types of impact: 1. Scientific impact, 2. Industry-driven innovation and technology transfer, 3. Sustainability and exploitation, 4. General and societal engagement, enabling strategic growth in both cross-sector and cross-regional cooperation, and sustainable scientific capabilities of all staff/institutions involved.
Design and publishing of the project’s official and local web-sites | Websites, patent fillings, videos etc. | 2019-07-26 15:50:10 |
Leaflet | Websites, patent fillings, videos etc. | 2019-07-26 15:50:11 |
EXCELL Flipboard Magazine | Websites, patent fillings, videos etc. | 2019-07-26 15:50:10 |
Sustainability workshop | Other | 2019-07-26 15:50:10 |
Press releases | Websites, patent fillings, videos etc. | 2019-07-26 15:50:10 |
Diversity in engineering workshop | Other | 2019-07-26 15:50:10 |
Edited journal special issues, journal and conference publications and participation | Other | 2019-07-26 15:50:10 |
Industry workshop-series | Other | 2019-07-26 15:50:10 |
Take a look to the deliverables list in detail: detailed list of EXCELL deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2016 |
Zsolt Kemény, János Nacsa, Gábor Erdős, Robert Glawar, Wilfried Sihn, László Monostori, Elisabeth Ilie-Zudor Complementary Research and Education Opportunities—A Comparison of Learning Factory Facilities and Methodologies at TU Wien and MTA SZTAKI published pages: 47-52, ISSN: 2212-8271, DOI: 10.1016/j.procir.2016.05.064 |
Procedia CIRP 54 | 2019-07-26 |
2016 |
Elisabeth Ilie-Zudor, Zsolt Kemény, Davy Preuveneers Efficiency and Security of Process Transparency in Production Networks—A View of Expectations, Obstacles and Potentials published pages: 84-89, ISSN: 2212-8271, DOI: 10.1016/j.procir.2016.07.018 |
Procedia CIRP 52 | 2019-07-26 |
2016 |
L. Monostori, B. Kádár, T. Bauernhansl, S. Kondoh, S. Kumara, G. Reinhart, O. Sauer, G. Schuh, W. Sihn, K. Ueda Cyber-physical systems in manufacturing published pages: 621-641, ISSN: 0007-8506, DOI: 10.1016/j.cirp.2016.06.005 |
CIRP Annals - Manufacturing Technology 65/2 | 2019-07-26 |
2017 |
Davy Preuveneers, Elisabeth Ilie-Zudor Introduction to the thematic issue on Intelligent systems, applications and environments for the industry of the future published pages: 285-286, ISSN: 1876-1364, DOI: 10.3233/AIS-170431 |
Journal of Ambient Intelligence and Smart Environments 9/3 | 2019-07-26 |
2017 |
Davy Preuveneers, Elisabeth Ilie-Zudor The intelligent industry of the future: AÂ survey on emerging trends, research challenges and opportunities in Industry 4.0 published pages: 287-298, ISSN: 1876-1364, DOI: 10.3233/AIS-170432 |
Journal of Ambient Intelligence and Smart Environments 9/3 | 2019-07-26 |
2017 |
Davy Preuveneers, Wouter Joosen, Elisabeth Ilie-Zudor Trustworthy data-driven networked production for customer-centric plants published pages: 2305-2324, ISSN: 0263-5577, DOI: 10.1108/IMDS-10-2016-0419 |
Industrial Management & Data Systems 117/10 | 2019-07-26 |
2017 |
Aragón, Gustavo; Reiners, René; Kemény, Zsolt A configurable sensor platform for cloud-based IoT application scenarios published pages: , ISSN: , DOI: |
Fraunhofer FIT 3 | 2019-07-26 |
2018 |
Davy Preuveneers, Vera Rimmer, Ilias Tsingenopoulos, Jan Spooren, Wouter Joosen, Elisabeth Ilie-Zudor Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study published pages: 2663, ISSN: 2076-3417, DOI: 10.3390/app8122663 |
Applied Sciences 8/12 | 2019-07-26 |
2017 |
Tavakolizadeh, Farshid; Carvajal Soto, José Ãngel; Gyulai, Dávid; Beecks, Christian Industry 4.0: Mining physical defects in production of surface-mount devices published pages: , ISSN: 1864-9734, DOI: |
Fraunhofer FIT 5 | 2019-07-26 |
2017 |
D. Preuveneers, W. Joosen, E. Ilie-Zudor Policy reconciliation for access control in dynamic cross-enterprise collaborations published pages: 279-299, ISSN: 1751-7575, DOI: 10.1080/17517575.2017.1355985 |
Enterprise Information Systems 12/3 | 2019-07-26 |
2018 |
Davy Preuveneers, Elisabeth Ilie-Zudor Special Issue: Big Data for context-aware applications and intelligent environments published pages: , ISSN: 0167-739X, DOI: 10.1016/j.future.2018.11.031 |
Future Generation Computer Systems | 2019-07-26 |
2018 |
G. Pedone, I. Mezgár Model similarity evidence and interoperability affinity in cloud-ready Industry 4.0 technologies published pages: 278-286, ISSN: 0166-3615, DOI: 10.1016/j.compind.2018.05.003 |
Computers in Industry 100 | 2019-07-26 |
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The information about "EXCELL" are provided by the European Opendata Portal: CORDIS opendata.