國立虎尾科技大學 |

Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing/ by Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal.
作者:	Pal, Surjya Kanta.
其他作者:	Pal, Srikanta.
面頁冊數:	XXXVI, 465 p. 362 illus., 235 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-3-030-81815-9
ISBN:	9783030818159

Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing
Pal, Surjya Kanta.

Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing[electronic resource] /by Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal. - 1st ed. 2022. - XXXVI, 465 p. 362 illus., 235 illus. in color.online resource. - Springer Series in Advanced Manufacturing,2196-1735. - Springer Series in Advanced Manufacturing,.

Introduction -- Sensor Electronics -- Signal Acquisition and Processing -- Image Processing -- Data Communication: Cloud and Fog Computing -- Machine Learning and Decision Making -- Artificial Intelligence in Decision Making -- Digital Twin Application -- Conclusions.

This book provides readers with a guide to the use of Digital Twin in manufacturing. It presents a collection of fundamental ideas about sensor electronics and data acquisition, signal and image processing techniques, seamless data communications, artificial intelligence and machine learning for decision making, and explains their necessity for the practical application of Digital Twin in Industry. Providing case studies relevant to the manufacturing processes, systems, and sub-systems, this book is beneficial for both academics and industry professionals within the field of Industry 4.0 and digital manufacturing.

ISBN: 9783030818159

Standard No.: 10.1007/978-3-030-81815-9doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: T55.4-60.8

Dewey Class. No.: 670

Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing
LDR:02398nam a22004095i 4500 001 1088969
003 DE-He213
005 20220118003550.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783030818159 $9 978-3-030-81815-9
024 7 $a 10.1007/978-3-030-81815-9 $2 doi
035 $a 978-3-030-81815-9
050 4 $a T55.4-60.8
072 7 $a TGP $2 bicssc
072 7 $a TEC009060 $2 bisacsh
072 7 $a TGP $2 thema
082 0 4 $a 670 $2 23
100 1 $a Pal, Surjya Kanta. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1396206
245 1 0 $a Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing $h [electronic resource] / $c by Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XXXVI, 465 p. 362 illus., 235 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 Springer Series in Advanced Manufacturing, $x 2196-1735
505 0 $a Introduction -- Sensor Electronics -- Signal Acquisition and Processing -- Image Processing -- Data Communication: Cloud and Fog Computing -- Machine Learning and Decision Making -- Artificial Intelligence in Decision Making -- Digital Twin Application -- Conclusions.
520 $a This book provides readers with a guide to the use of Digital Twin in manufacturing. It presents a collection of fundamental ideas about sensor electronics and data acquisition, signal and image processing techniques, seamless data communications, artificial intelligence and machine learning for decision making, and explains their necessity for the practical application of Digital Twin in Industry. Providing case studies relevant to the manufacturing processes, systems, and sub-systems, this book is beneficial for both academics and industry professionals within the field of Industry 4.0 and digital manufacturing.
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Signal, Speech and Image Processing . $3 1366353
650 2 4 $a Internet of Things. $3 1048478
650 2 4 $a Machines, Tools, Processes. $3 1366415
650 1 4 $a Industrial and Production Engineering. $3 593943
650 0 $a Machine learning. $3 561253
650 0 $a Signal processing. $3 561459
650 0 $a Internet of things. $3 1023130
650 0 $a Manufactures. $3 680602
650 0 $a Production engineering. $3 566269
650 0 $a Industrial engineering. $3 679492
700 1 $a Pal, Srikanta. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1396211
700 1 $a Chakravarty, Debashish. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1396210
700 1 $a Dutta, Samik. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1396209
700 1 $a Pal, Arpan. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1396208
700 1 $a Mishra, Debasish. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1396207
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030818142
776 0 8 $i Printed edition: $z 9783030818166
776 0 8 $i Printed edition: $z 9783030818173
830 0 $a Springer Series in Advanced Manufacturing, $x 1860-5168 $3 1255576
856 4 0 $u https://doi.org/10.1007/978-3-030-81815-9
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)