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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-031.mrc:311555743:3863
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-031.mrc:311555743:3863?format=raw

LEADER: 03863cam a2200349M 4500
001 15166691
005 20210607150114.0
006 m o d
007 cr |n|||||||||
008 200918s2020 xx o 000 0 eng d
035 $a(OCoLC)1226411595
035 $a(OCoLC)on1226411595
035 $a(NNC)15166691
040 $aYDX$beng$cYDX$dEBLCP
019 $a1196253927
020 $a9781000289329$q(electronic bk.)
020 $a100028932X$q(electronic bk.)
020 $z0367422727
020 $z9780367422721
049 $aZCUA
245 00 $aS2M 2019$h[electronic resource] :$bproceedings of the 2nd international conference on sustainable.
260 $a[Place of publication not identified]$bCRC Press,$c2020.
300 $a1 online resource
505 0 $aCover -- Half Title -- Title Page -- Copyright Page -- Table of contents -- Preface -- Committee members -- Keynote speaker -- International scientific committee -- Smart manufacturing -- Towards adigital revolution in the UK apparel manufacturing: An industry 4.0perspective -- Towards fault detection and self-healing of chemical processes over wireless sensor networks -- Pattern recognition based on neural network for sign language interpretation system using flexes sensor -- Aframework for intelligent monitoring and control of chemical processes with multi-agent systems
505 8 $aThe transport of domestic animals and the Internet of Things: Guidelines for the development of asmart carrier -- Development of production monitoring systems on labor-intensive manufacturing industries -- Importance of maturity assessments in promoting adoption of i4.0 concepts in SMEs -- Fashion segment and Industry 4.0: Brazilian textile and clothing industry- perspective into the new industrial paradigms -- Jumping to Industry 4.0 through process design and managing information for smart manufacturing: Configurable virtual workstation
505 8 $aAframework for Industry 4.0 implementation: Acase study at King Saud University -- Health and safety in smart industry: State-of-the-art and future trends -- BIM -- based machine learning engine for smart real estate appraisal -- Data analytics applied to sand casting foundry industries -- The role of "JavaMach Cluster" to training for Industry 4.0 -- Machine learning approach for biological pattern based shell structures -- Machine learning, the Internet of Things, and the seeds of un-behavioral operations: Conceptual bases for the industry of the future
505 8 $aTwo-phase methodology for smart reconfigurable assembly systems -- Ascrew unfastening method for robotic disassembly -- Using active adjustment and compliance in robotic disassembly -- An ontology for sensors knowledge management in intelligent manufacturing systems -- Long range RFID indoor positioning system with passive tags -- Additive manufacturing and virtual prototyping -- 3D printing for sustainable construction -- Galvanometer calibration using image processing for additive manufacturing -- A multi-material extrusion nozzle for functionally graded concrete printing
505 8 $aAnalysis of 3D printed 17-4 PH stainless steel lattice structures with radially oriented cells -- Control of process parameters for directed energy deposition of PH15-5 stainless steel parts -- Investigation into post-processing electron beam melting parts using jet electrochemical machining -- Manufacturing of ahollow propeller blade with WAAM process -- from the material characterisation to the achievement -- Fully 3D printed horizontally polarised omnidirectional antenna -- Paper in architecture: The role of additive manufacturing
655 0 $aElectronic books.
776 08 $cOriginal$z0367422727$z9780367422721$w(OCoLC)1130762780
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15166691$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS