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New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes

dc.contributor.authorPosada, Jorge*
dc.contributor.authorLópez de Lacalle, Luis Norberto*
dc.date.accessioned2021-02-11T20:54:47Z
dc.date.available2021-02-11T20:54:47Z
dc.date.issued2020*
dc.date.submitted2020-04-07 23:07:09*
dc.identifier44832*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/54583
dc.description.abstractModern 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.*
dc.languageEnglish*
dc.subjectTA1-2040*
dc.subjectT55.4-60.8*
dc.subjectT1-995*
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.otherlocalization*
dc.subject.othersmart system*
dc.subject.othern/a*
dc.subject.otherconnected enterprise*
dc.subject.otherdigital manufacturing*
dc.subject.otherAHP*
dc.subject.otherYOLOv3*
dc.subject.otherdecision support*
dc.subject.otherneural network*
dc.subject.othervertex distance*
dc.subject.otherdepthwise separable convolution*
dc.subject.othercutting insert selection*
dc.subject.othersmart service*
dc.subject.othercontour detection*
dc.subject.otherconvolutional neural networks*
dc.subject.otherplatform-based ecosystem*
dc.subject.otherin-line dimensional inspection*
dc.subject.otherdilated convolutions*
dc.subject.otherfabric defect detection*
dc.subject.otherclassification*
dc.subject.otherFCM*
dc.subject.otherLGM*
dc.subject.otherdigital information flow*
dc.subject.otherturning*
dc.subject.othercomputer vision*
dc.subject.othercontrol service*
dc.subject.otherblister defect*
dc.subject.otherRMTs*
dc.subject.otherfeature pyramid*
dc.subject.otherresearch and development indicators*
dc.subject.othermaintenance expert*
dc.subject.otherpolymer lithium-ion battery*
dc.subject.otherIT concept*
dc.subject.otherIndustry 4.0*
dc.subject.othermatching*
dc.subject.otherdata reduction*
dc.subject.othercompetence*
dc.subject.otherfibre of preserved Szechuan pickle*
dc.subject.otherelliptical paraboloid array*
dc.subject.otherrelative angle*
dc.subject.othergeometric relationship*
dc.subject.otheroptical system*
dc.subject.otherconfigure-to-order*
dc.subject.otheraircraft structure crack detection*
dc.subject.otherdigital twins*
dc.subject.othersmart factory*
dc.subject.otherD-VGG16*
dc.subject.otheroptical slope sensor*
dc.subject.othersmart manufacturing*
dc.subject.otherself-calibration method*
dc.subject.otherconvolutional neural network*
dc.subject.otherindustry 4.0*
dc.subject.otherskyline queries*
dc.subject.othermachine learning*
dc.subject.otherscalability test*
dc.subject.othercyber-physical production systems*
dc.subject.otherCyber-Physical Systems (CPS)*
dc.subject.otherdemand-side response*
dc.subject.othercutting parameter optimization*
dc.subject.otherimage smoothing*
dc.subject.othermarketing innovations*
dc.subject.othergenetic algorithm*
dc.subject.otherautomation system*
dc.subject.otherdefect detection*
dc.subject.otherscheduling*
dc.subject.otherjob shop systems*
dc.subject.otherbig data*
dc.subject.otheroperator theory*
dc.subject.othermicro-armature*
dc.subject.othertrain wheel*
dc.subject.otherindustrial knowledge graph*
dc.subject.otherindustrial load management*
dc.subject.otherbilinear model*
dc.subject.otherartificial neural networks*
dc.subject.other4th industrial revolution*
dc.subject.otherINDUSTRY 4.0*
dc.subject.otherconstruction equipment*
dc.subject.otherlean assembly*
dc.subject.othercapacity control*
dc.subject.otherGrad-CAM*
dc.subject.otherrevolution workpiece*
dc.subject.otherchatter*
dc.subject.otheranomaly detection*
dc.subject.otherQFD*
dc.subject.othersocial network*
dc.subject.otherdeep learning*
dc.subject.othercontrol as a service*
dc.subject.otherwarm forming*
dc.subject.otherautomated surface inspection*
dc.subject.othercloud-based control system*
dc.subject.otherinnovative marketing tools*
dc.subject.otherInternet of Things (IoT)*
dc.subject.otherflower pollination algorithm*
dc.subject.otherHED*
dc.subject.otheredge computing*
dc.subject.otherpredictive analytics*
dc.subject.otherBIM*
dc.subject.otherdigital platforms*
dc.subject.otherindustrial big data*
dc.subject.otherenergy flexibility*
dc.subject.otherimpacts marketing innovations*
dc.subject.otherintellectualization of industrial information*
dc.subject.othereconomic recession*
dc.subject.other3D mesh reconstruction*
dc.subject.otherdemand-side management*
dc.titleNew Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03928-291-3*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
oapen.relation.isbn9783039282906*
oapen.relation.isbn9783039282913*
oapen.pages428*
oapen.edition1st*


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