New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes / / edited by Luis Norberto López de Lacalle, Jorge Posada.
Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, compl...
Saved in:
TeilnehmendeR: | |
---|---|
Place / Publishing House: | Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, 2020. |
Year of Publication: | 2020 |
Language: | English |
Physical Description: | 1 online resource (428 pages) :; illustrations |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993603158704498 |
---|---|
ctrlnum |
(CKB)5400000000040375 (NjHacI)995400000000040375 (EXLCZ)995400000000040375 |
collection |
bib_alma |
record_format |
marc |
spelling |
New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes / edited by Luis Norberto López de Lacalle, Jorge Posada. Basel : MDPI - Multidisciplinary Digital Publishing Institute, 2020. 1 online resource (428 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on publisher supplied metadata and other sources. Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0. Includes bibliographical references. Image processing. 3-03928-291-3 Posada, Jorge, editor. López de Lacalle, Luis Norberto, editor. |
language |
English |
format |
eBook |
author2 |
Posada, Jorge, López de Lacalle, Luis Norberto, |
author_facet |
Posada, Jorge, López de Lacalle, Luis Norberto, |
author2_variant |
j p jp d l l n l dlln dllnl |
author2_role |
TeilnehmendeR TeilnehmendeR |
title |
New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes / |
spellingShingle |
New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes / |
title_full |
New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes / edited by Luis Norberto López de Lacalle, Jorge Posada. |
title_fullStr |
New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes / edited by Luis Norberto López de Lacalle, Jorge Posada. |
title_full_unstemmed |
New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes / edited by Luis Norberto López de Lacalle, Jorge Posada. |
title_auth |
New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes / |
title_new |
New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes / |
title_sort |
new industry 4.0 advances in industrial iot and visual computing for manufacturing processes / |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute, |
publishDate |
2020 |
physical |
1 online resource (428 pages) : illustrations |
isbn |
3-03928-291-3 |
callnumber-first |
T - Technology |
callnumber-subject |
TA - General and Civil Engineering |
callnumber-label |
TA1632 |
callnumber-sort |
TA 41632 N495 42020 |
illustrated |
Illustrated |
dewey-hundreds |
600 - Technology |
dewey-tens |
620 - Engineering |
dewey-ones |
621 - Applied physics |
dewey-full |
621.3 |
dewey-sort |
3621.3 |
dewey-raw |
621.3 |
dewey-search |
621.3 |
work_keys_str_mv |
AT posadajorge newindustry40advancesinindustrialiotandvisualcomputingformanufacturingprocesses AT lopezdelacalleluisnorberto newindustry40advancesinindustrialiotandvisualcomputingformanufacturingprocesses |
status_str |
n |
ids_txt_mv |
(CKB)5400000000040375 (NjHacI)995400000000040375 (EXLCZ)995400000000040375 |
carrierType_str_mv |
cr |
is_hierarchy_title |
New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes / |
author2_original_writing_str_mv |
noLinkedField noLinkedField |
_version_ |
1796653194182393856 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02429nam a2200301 i 4500</leader><controlfield tag="001">993603158704498</controlfield><controlfield tag="005">20230623232434.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr |||||||||||</controlfield><controlfield tag="008">230623s2020 sz a ob a000 0 eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5400000000040375</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(NjHacI)995400000000040375</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995400000000040375</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">NjHacI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">NjHacl</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">TA1632</subfield><subfield code="b">.N495 2020</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">621.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes /</subfield><subfield code="c">edited by Luis Norberto López de Lacalle, Jorge Posada.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Basel :</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute,</subfield><subfield code="c">2020.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (428 pages) :</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0.</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Image processing.</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-03928-291-3</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Posada, Jorge,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">López de Lacalle, Luis Norberto,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-07-06 03:31:04 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-04-04 09:22:53 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338066880004498&Force_direct=true</subfield><subfield code="Z">5338066880004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338066880004498</subfield></datafield></record></collection> |