Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Singh, Ashutosh; Saxena, Nitesh Kumar; Alekhya, J.; Reddy, Uma; Thethi, H. Pal; Acharjee, Purnendu Bikash Title A name given to the resource Research on Big Data for Industry 4.0 Cyber-Physical Systems Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development;pp.160-163 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003596721-37" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003596721-37</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85218319848?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85218319848?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singh A., Institute of Business Management, GLA University, Mathura, India; Saxena N.K., INVERTIS UNIVERSITY, Uttar Pradesh, Bareilly, India; Alekhya J., Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Hyderabad, India; Reddy U., Department of Artificial Intelligence and Machine Learning, New Horizon College of Engineering, Bangalore, India; Thethi H.P., Lovely Professional University, Phagwara, India; Acharjee P.B., Computer Science, CHRIST University, Bangaluru, India Description An account of the resource The objective of the revolution known as Industry 4.0 seeks to optimize goods creation based on consumer requirements, specifications for quality, and financial viability. Big data collected by the Internet of Things (IoT)-based commercial Cyber-Physical Systems (CPS) plays an essential part in boosting platform operation efficiency to promote throughput with improved consumer encounters in Industry 4.0. This study shows big databases derived from IoT-based Optical-Wireless CPS (OWCPSs) for optimizing the functioning of maintenance networks in the electronics-manufacturing Industry 4.0. This research collected and analyzed big databases including five parameters: data delivery, delay, overload, throughput, and package error percentage in OWCPSs. The information gathered is important for optimizing the functioning of service systems in the production of electronic goods Industry 4.0. 2024 selection and editorial matter, Prof. (Dr.) Dorota Jelonek, Prof. (Dr.) Narendra Kumar, Prof. (Dr.) Mamta Chahar, Prof. (Dr.) Rusudan Kinkladze and Prof. (Dr.) Lilla Knop; individual chapters, the contributors. Subject The topic of the resource Big data; Cyber-physical systems; Industry 4.0; Internet of things Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104032742-5; 978-103298029-4; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online