LEADER 04433namaa2200925uu 4500
001 doab80978
003 oapen
005 20220506
006 m o d
007 cr|mn|---annan
008 220506s2022 xx |||||o ||| 0|eng d
020 |a 9783036538136 
020 |a 9783036538143 
020 |a books978-3-0365-3813-6 
024 7 |a 10.3390/books978-3-0365-3813-6  |2 doi 
040 |a oapen  |c oapen 
041 0 |a eng 
042 |a dc 
072 7 |a TB  |2 bicssc 
072 7 |a TBX  |2 bicssc 
720 1 |a Villalba-Diez, Javier  |4 edt 
720 1 |a Ordieres Meré, Joaquin  |4 edt 
720 1 |a Ordieres Meré, Joaquin  |4 oth 
720 1 |a Villalba-Diez, Javier  |4 oth 
245 0 0 |a Sense and Respond  |b Industrial Applications of Smart Sensors in Cyber-Physical Systems 
260 |a Basel  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2022 
300 |a 1 online resource (168 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
506 0 |a Open Access  |f Unrestricted online access  |2 star 
520 |a Over the past century, the manufacturing industry has undergone a number of paradigm shifts: from the Ford assembly line (1900s) and its focus on efficiency to the Toyota production system (1960s) and its focus on effectiveness and JIDOKA; from flexible manufacturing (1980s) to reconfigurable manufacturing (1990s) (both following the trend of mass customization); and from agent-based manufacturing (2000s) to cloud manufacturing (2010s) (both deploying the value stream complexity into the material and information flow, respectively). The next natural evolutionary step is to provide value by creating industrial cyber-physical assets with human-like intelligence. This will only be possible by further integrating strategic smart sensor technology into the manufacturing cyber-physical value creating processes in which industrial equipment is monitored and controlled for analyzing compression, temperature, moisture, vibrations, and performance. For instance, in the new wave of the 'Industrial Internet of Things' (IIoT), smart sensors will enable the development of new applications by interconnecting software, machines, and humans throughout the manufacturing process, thus enabling suppliers and manufacturers to rapidly respond to changing standards. This reprint of "Sense and Respond" aims to cover recent developments in the field of industrial applications, especially smart sensor technologies that increase the productivity, quality, reliability, and safety of industrial cyber-physical value-creating processes. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |u https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a History of engineering & technology  |2 bicssc 
650 7 |a Technology: general issues  |2 bicssc 
653 |a application 
653 |a approaches 
653 |a artificial vision 
653 |a asynchronous 
653 |a conceptual framework 
653 |a cramer rao lower bound 
653 |a Cramér-Rao lower bound 
653 |a data 
653 |a deep learning 
653 |a EEG sensors 
653 |a genetic algorithms 
653 |a geometric deep learning 
653 |a heteroscedasticity 
653 |a hyperboloids 
653 |a IIoT 
653 |a indoor air quality 
653 |a industrial optical quality inspection 
653 |a industry 4.0 
653 |a Industry 4.0 
653 |a IOTA tangle 
653 |a LCA 
653 |a lean management 
653 |a localization 
653 |a long-term monitoring benefits 
653 |a low cost 
653 |a LPS 
653 |a manufacturing systems 
653 |a multi-objective optimization 
653 |a node distribution 
653 |a occupational safety and health 
653 |a problem-solving 
653 |a project engineering 
653 |a SDG 11 
653 |a SDG 9 
653 |a sensor failure 
653 |a sensor networks 
653 |a sensors 
653 |a soft sensors 
653 |a TDOA 
653 |a tools 
653 |a wireless sensor networks 
793 0 |a DOAB Library. 
856 4 0 |u https://directory.doabooks.org/handle/20.500.12854/80978  |7 0  |z Open Access: DOAB: description of the publication 
856 4 0 |u https://mdpi.com/books/pdfview/book/5319  |7 0  |z Open Access: DOAB, download the publication