The Industry 4.0 National Technology Platform was established under the leadership of the Institute for Computer Science and Control (SZTAKI), Hungarian Academy of Sciences, with the participation of research institutions, companies, universities and professional organizations having premises in Hungary, and with the full support and commitment of the Government of Hungary, and specifically that of the Ministry of National Economy.
The main, overall objective of the project is to establish the Centre of Excellence in Production Informatics and Control (EPIC CoE) as a leading, internationally acknowledged focus point in the field of cyber-physical production systems. The main goals of the EPIC CoE are, one the one hand, to upgrade this scientific centre of excellence, and on the other hand, to strengthen the ability of SZTAKI and the two faculties of BME to transfer the research results to the industry with the support of the participating FhG institutions, with other words to enhance the applied resea
In this project we address a new and very important issue: the observation of small backcountry wetland areas surrounded by different areas, hosting important species and delivering essential ecosystem services and biodiversity. Although these patches are small one by one, but together they can contribute to the wetland cover area with a very high rate – their protection and mapping is a need.
Vehicle-oriented research has been pursued for many years now at SCL. Its results materialized in various forms ranging from research initiatives and R&D project proposals through conference and journal publications to industrial R&D contracts. However, a comprehensive demonstration of the vehicle-oriented research output has always been problematic within the Institute due to its limited facilities available in respect of this application field.
MTA SZTAKI, EMI Laboratory has started a 24 month long, EUREKA international R&D&I cooperation project under the acronym: INTRO4.0 , on the 1st of April, 2016. Due to the international EUREKA project class, the national partners prepare cooperation based efforts, in this case with the German KIT, Karlsruhe Institute of Technology, which acts also as the coordinator. Among the Hungarian partners, HEPENIX Research and Development Ltd. plays the national industrial coordinator’s role, and SZTAKI is the RTD academic partner.
The VISIONproject is a European-Japanese collaborative research project. To enhance air transport safety, the main objective of the project is to validate smarter technologies for aircraft guidance, navigation and control (GN&C) by including:
COURAGE will create a comprehensive online database (electronic registry) of existing but scattered collections on the histories and forms of cultural opposition in the former socialist countries and thereby make them more accessible. Second, it will analyse these collections in their broader social, political and cultural contexts. The general aim of this analysis is to allow for the expanded outreach and increased impact of the collections by assessing the historical origins and legacies of various forms of cultural opposition.
Started in January 2016, the EXCELL project (Actions for Excellence in Smart Cyber-Physical Systems applications through exploitation of Big Data in the context of Production Control and Logistics) foresees the collaboration of researchers from four European countries (Hungary, Germany, United Kingdom, Belgium) in the field of Cyber-Physical Systems and Big Data applications serving production and logistics networks.
STREAMLINE will address the competitive advantage needs of European online media businesses (EOMB) by delivering fast reactive analytics suitable in solving a wide array of problems, including addressing customer retention, personalized recommendation, and more broadly targeted services. STREAMLINE will develop cross-sectorial analytics drawing on multi‐source data originating from online media consumption, online games, telecommunications services, and multilingual web content. STREAMLINE partners face big and fast data challenges.