語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Digital twin - fundamental concepts ...
~
Pal, Surjya Kanta.
FindBook
Google Book
Amazon
博客來
Digital twin - fundamental concepts to applications in advanced manufacturing
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Digital twin - fundamental concepts to applications in advanced manufacturing/ by Surjya Kanta Pal ... [et al.].
其他作者:
Pal, Surjya Kanta.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xxxvi, 465 p. :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Industry 4.0 - Computer simulation. -
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
Digital twin - fundamental concepts to applications in advanced manufacturing
[electronic resource] /by Surjya Kanta Pal ... [et al.]. - Cham :Springer International Publishing :2022. - xxxvi, 465 p. :ill., digital ;24 cm. - 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:
3590027
Industry 4.0
--Computer simulation.
LC Class. No.: T59.6
Dewey Class. No.: 670.113
Digital twin - fundamental concepts to applications in advanced manufacturing
LDR
:01953nmm a2200337 a 4500
001
2295852
003
DE-He213
005
20210812132036.0
006
m d
007
cr nn 008maaau
008
230324s2022 sz s 0 eng d
020
$a
9783030818159
$q
(electronic bk.)
020
$a
9783030818142
$q
(paper)
024
7
$a
10.1007/978-3-030-81815-9
$2
doi
035
$a
978-3-030-81815-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
T59.6
072
7
$a
TGP
$2
bicssc
072
7
$a
TEC009060
$2
bisacsh
072
7
$a
TGP
$2
thema
082
0 4
$a
670.113
$2
23
090
$a
T59.6
$b
.D574 2022
245
0 0
$a
Digital twin - fundamental concepts to applications in advanced manufacturing
$h
[electronic resource] /
$c
by Surjya Kanta Pal ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
xxxvi, 465 p. :
$b
ill., digital ;
$c
24 cm.
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
0
$a
Industry 4.0
$x
Computer simulation.
$3
3590027
650
0
$a
Manufacturing processes
$x
Computer simulation.
$3
841343
650
1 4
$a
Industrial and Production Engineering.
$3
891024
650
2 4
$a
Manufacturing, Machines, Tools, Processes.
$3
3381528
650
2 4
$a
Cyber-physical systems, IoT.
$3
3386699
650
2 4
$a
Professional Computing.
$3
3201325
650
2 4
$a
Signal, Image and Speech Processing.
$3
891073
650
2 4
$a
Machine Learning.
$3
3382522
700
1
$a
Pal, Surjya Kanta.
$3
3590026
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Springer series in advanced manufacturing.
$3
1566004
856
4 0
$u
https://doi.org/10.1007/978-3-030-81815-9
950
$a
Engineering (SpringerNature-11647)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9437755
電子資源
11.線上閱覽_V
電子書
EB T59.6
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入