國立虎尾科技大學 |

Cross Reality and Data Science in Engineering = Proceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Cross Reality and Data Science in Engineering/ edited by Michael E. Auer, Dominik May.
Reminder of title:	Proceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation /
other author:	Auer, Michael E.
Description:	XXI, 1036 p. 470 illus., 412 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Engineering—Data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-52575-0
ISBN:	9783030525750

Cross Reality and Data Science in Engineering = Proceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation /
Cross Reality and Data Science in EngineeringProceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation /[electronic resource] :edited by Michael E. Auer, Dominik May. - 1st ed. 2021. - XXI, 1036 p. 470 illus., 412 illus. in color.online resource. - Advances in Intelligent Systems and Computing,12312194-5365 ;. - Advances in Intelligent Systems and Computing,335.

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.

ISBN: 9783030525750

Standard No.: 10.1007/978-3-030-52575-0doiSubjects--Topical Terms:

1297966
Engineering—Data processing.

LC Class. No.: TA345-345.5

Dewey Class. No.: 620.00285

Cross Reality and Data Science in Engineering = Proceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation /
LDR:03167nam a22003975i 4500 001 1048472
003 DE-He213
005 20210923143227.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030525750 $9 978-3-030-52575-0
024 7 $a 10.1007/978-3-030-52575-0 $2 doi
035 $a 978-3-030-52575-0
050 4 $a TA345-345.5
072 7 $a UN $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UN $2 thema
072 7 $a TB $2 thema
082 0 4 $a 620.00285 $2 23
245 1 0 $a Cross Reality and Data Science in Engineering $h [electronic resource] : $b Proceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation / $c edited by Michael E. Auer, Dominik May.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XXI, 1036 p. 470 illus., 412 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Advances in Intelligent Systems and Computing, $x 2194-5365 ; $v 1231
520 $a 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.
650 0 $a Engineering—Data processing. $3 1297966
650 0 $a Computer engineering. $3 569006
650 0 $a Internet of things. $3 1023130
650 0 $a Embedded computer systems. $3 562313
650 0 $a Big data. $3 981821
650 1 4 $a Data Engineering. $3 1226308
650 2 4 $a Cyber-physical systems, IoT. $3 1226036
650 2 4 $a Big Data. $3 1017136
700 1 $a Auer, Michael E. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1203659
700 1 $a May, Dominik. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1352371
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030525743
776 0 8 $i Printed edition: $z 9783030525767
830 0 $a Advances in Intelligent Systems and Computing, $x 2194-5357 ; $v 335 $3 1253884
856 4 0 $u https://doi.org/10.1007/978-3-030-52575-0
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)