Cross Reality and Data Science in Engineering -

Cross Reality and Data Science in Engineering

Proceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation

Michael E. Auer, Dominik May (Herausgeber)

Buch | Softcover
XXI, 1036 Seiten
2020 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-52574-3 (ISBN)
246,09 inkl. MwSt

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.

Erscheinungsdatum
Reihe/Serie Advances in Intelligent Systems and Computing
Zusatzinfo XXI, 1036 p. 470 illus., 412 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1591 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Theorie / Studium
Technik Elektrotechnik / Energietechnik
Schlagworte biomedical engineering • cloud technologies • Coboter • Cross Reality • Cyber Physical Systems • cyber security • Data Science & Big Data • Digital Twins • Industry 4.0 • internet of things • M2M Concepts • Mixed-reality • Online Engineering • remote control • Remote Laboratories • Remote Sensing • Smart City • Smart Objects • telemedicine • virtual laboratories
ISBN-10 3-030-52574-0 / 3030525740
ISBN-13 978-3-030-52574-3 / 9783030525743
Zustand Neuware
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