Cross Reality and Data Science in Engineering (original) (raw)
Overview
Editors:
- Michael E. Auer
- Carinthia University of Applied Sciences, Villach, Austria
- Dominik May
- College of Engineering, University of Georgia, Athens, USA
Presents recent research in the field of remote engineering, virtual instrumentation, and related new technologies
Focuses on the Internet of Things & industrial Internet of Things, Industry 4.0, cyber security, M2M and smart objects
Presents the proceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation (REV), held at the University of Georgia, Athens, Georgia, USA, on February 26–28, 2020
133k Accesses
7 Citations
Access this book
Other ways to access
About this book
Today, online technologies are at the core of most fields of engineering and society as a whole . This book discusses the fundamentals, applications and lessons learned in the field of online and remote engineering, virtual instrumentation, and other related technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M & Smart Objects.
Since the first Remote Engineering and Virtual Instrumentation (REV) conference in 2004, the event has focused on the use of the Internet for engineering tasks, as well as the related opportunities and challenges. In a globally connected world, interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In this context, the REV conferences discuss fundamentals, applications and experiences in the field of Online and Remote Engineering as well as Virtual Instrumentation. Furthermore, the conferences focus on guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and open resources.
This book presents the proceedings of REV2020 on “Cross Reality and Data Science in Engineering” which was held as the 17th in series of annual events. It was organized in cooperation with the Engineering Education Transformations Institute and the Georgia Informatics Institutes for Research and Education and was held at the College of Engineering at the University of Georgia in Athens (GA), USA, from February 26 to 28, 2020.
Similar content being viewed by others
Table of contents (84 papers)
Virtual and Remote Laboratories
Other volumes
Cross Reality and Data Science in Engineering
Editors and Affiliations
Carinthia University of Applied Sciences, Villach, Austria
Michael E. Auer
College of Engineering, University of Georgia, Athens, USA
Dominik May
Accessibility Information
Accessibility information for this book is coming soon. We're working to make it available as quickly as possible. Thank you for your patience.
Bibliographic Information
- Book Title: Cross Reality and Data Science in Engineering
- Book Subtitle: Proceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation
- Editors: Michael E. Auer, Dominik May
- Series Title: Advances in Intelligent Systems and Computing
- DOI: https://doi.org/10.1007/978-3-030-52575-0
- Publisher: Springer Cham
- eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0), Springer Nature Proceedings excluding Computer Science
- Copyright Information: Springer Nature Switzerland AG 2021
- Softcover ISBN: 978-3-030-52574-3Published: 20 August 2020
- eBook ISBN: 978-3-030-52575-0Published: 20 August 2020
- Series ISSN: 2194-5357
- Series E-ISSN: 2194-5365
- Edition Number: 1
- Number of Pages: XXI, 1036
- Number of Illustrations: 58 b/w illustrations, 412 illustrations in colour
- Topics: Data Engineering, Cyber-physical systems, IoT, Big Data