Technologies and Applications for Big Data Value

Autor: Edward Curry, Sören Auer, Arne J. Berre, Andreas Metzger, Maria S. Perez, Sonja Zillner

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer rea

Towards the design of Kresling tower origami as a compliant building block

Autor: J. Berre, F. Geiskopf, L. Rubbert, P. Renaud

Publikováno v: Journal of Mechanisms and Robotics
Journal of Mechanisms and Robotics, 2022, ⟨10.1115/1.4053378⟩

In this paper, the use of the Kresling tower origami as a building block for compliant mechanism design is considered. To help building systems using this origami, models are derived to link the origami pattern geometry to the Kresling tower characte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::643f9bf75dd43e4fb509e181c3f88145
https://hal.science/hal-03594848/file/islandora_138666.pdf

Data-Driven Artificial Intelligence and Predictive Analytics for the Maintenance of Industrial Machinery with Hybrid and Cognitive Digital Twins

Autor: Perin Unal, Özlem Albayrak, Moez Jomâa, Arne J. Berre

Publikováno v: Technologies and Applications for Big Data Value ISBN: 9783030783068

This chapter presents a Digital Twin Pipeline Framework of the COGNITWIN project that supports Hybrid and Cognitive Digital Twins, through four Big Data and AI pipeline steps adapted for Digital Twins. The pipeline steps are Data Acquisition, Data Re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e22cd1a74aafd8a2ad41cda85ed47f7d
https://doi.org/10.1007/978-3-030-78307-5_14

Big Data Technologies in DataBio

Autor: Aphrodite Tsalgatidou, Arne J. Berre, Caj Södergård, Karel Charvát, Tomas Mildorf

Publikováno v: Big Data in Bioeconomy ISBN: 9783030710682
Södergård, C, Mildorf, T, Berre, A J, Tsalgatidou, A & Charvát, K 2021, Big Data Technologies in DataBio . in C Södergård, T Mildorf, E Habyarimana, A J Berre, J A Fernandes & C Zinke-Wehlmann (eds), Big Data in Bioeconomy : Results from the European DataBio Project . Springer, pp. 3-15 . https://doi.org/10.1007/978-3-030-71069-9_1

In this introductory chapter, we present the technological background needed for understanding the work in DataBio. We start with basic concepts of Big Data including the main characteristics volume, velocity and variety. Thereafter, we discuss data

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d4cebec65539452d230258c5c7565e9
https://doi.org/10.1007/978-3-030-71069-9_1

Technical research priorities for big data

Autor: Walter Waterfeld, Umair ul Hassan, Robert Seidl, Arne J. Berre, Marija Despenic, Andreas Metzger, Edward Curry, Ray Walshe, Adegboyega Ojo, Dumitru Roman, Souleiman Hasan, Sören Auer, Milan Petkovic, Sonja Zillner

Publikováno v: The Elements of Big Data Value ISBN: 9783030681753
The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem, 97-126
STARTPAGE=97;ENDPAGE=126;TITLE=The Elements of Big Data Value

To drive innovation and competitiveness, organisations need to foster the development and broad adoption of data technologies, value-adding use cases and sustainable business models. Enabling an effective data ecosystem requires overcoming several te

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95c5b8772bed13e98aabfbf9d1ebff88
http://www.scopus.com/inward/record.url?scp=85143085292&partnerID=8YFLogxK