Publication detail

Developing a Data Analytics Toolbox to Support CPS-based Services

HERRMANN, E. MOLINA RUIZ, E. RODRIGUEZ GONZÁLEZ, A. SMRŽ, P. WENDT, J. WOLFE, C. ZANIN, M.

Original Title

Developing a Data Analytics Toolbox to Support CPS-based Services

Type

conference paper

Language

English

Original Abstract

The fast growth of Cyber-Physical Systems (CPSs) has brought us new opportunities to benefit from ever-increasing quantities of data describing our environment and behaviours. These data have a strong potential to become the basis of novel innovative services and products. However, the nature of CPS data streams makes it challenging to apply known data analytics methods and tools in an efficient way. This contribution discusses these challenges and shows how they could be tackled. Specifically, we present the initial development of a Data Analytics Toolbox designed to deal with some of them, like the streaming nature of the information they provide, and the need for efficient filtering techniques. As a case study, we further describe an application of the toolbox based on a real business case, aimed at improving high resolution weather forecast models.

Keywords

artificial intelligence, data analytics, cyber-physical systems

Authors

HERRMANN, E.; MOLINA RUIZ, E.; RODRIGUEZ GONZÁLEZ, A.; SMRŽ, P.; WENDT, J.; WOLFE, C.; ZANIN, M.

Released

2. 12. 2020

Publisher

IEEE Biometric Council

Location

New York

ISBN

978-1-7281-6949-1

Book

Mediterranean Conference on Embedded Computing

Pages from

58

Pages to

64

Pages count

7

URL

https://ieeexplore.ieee.org/abstract/document/9134351

BibTex

@inproceedings{BUT182939,
  author="HERRMANN, E. and MOLINA RUIZ, E. and RODRIGUEZ GONZÁLEZ, A. and SMRŽ, P. and WENDT, J. and WOLFE, C. and ZANIN, M.",
  title="Developing a Data Analytics Toolbox to Support CPS-based Services",
  booktitle="Mediterranean Conference on Embedded Computing",
  year="2020",
  pages="58--64",
  publisher="IEEE Biometric Council",
  address="New York",
  doi="10.1109/MECO49872.2020.9134351",
  isbn="978-1-7281-6949-1",
  url="https://ieeexplore.ieee.org/abstract/document/9134351"
}