127990 20260127151101.0 doi 10.3390/electronics12153262 sideral 135068 ART-2023-135068 eng Herrero, Angel C. MoBiSea: a binary search algorithm for product clustering in Industry 4.0 2023 Access copy available to the general public Unrestricted Proprietary systems used to modernize Industry 4.0 usually involve high financial costs. Consequently, using low-cost devices with the same functionalities, capable of replacing these proprietary systems but at a lower cost, has become an incipient trend. However, these low-cost devices usually come with electromagnetic interference problems as they are encapsulated in electrical panels, sitting alongside electromechanical devices. In this article, we present Mode Binary Search, an algorithm specifically designed for use in a low-cost automated-industrial-productivity-data-collection system. Specifically, productivity data are obtained from the availability and sealing signals of the thermoplastic sealing machines in production lines belonging to the agri-food industry. Mode Binary Search was designed to cluster sealing signals, thus enabling us to identify which products have been made. Furthermore, the algorithm determines when the manufacturing of each product starts and ends, in other words, the exact moment a product change occurs and all this without the need for operator supervision or intervention. Finally, we compared our algorithm, based on binary search, with three clustering mechanisms: k-means, k-rms and x-means. Out of all the cases we analyzed, the maximum error committed by Mode Binary Search is limited to 2.69%, thereby outperforming all others. info:eu-repo/grantAgreement/ES/DGA-FSE/T40-23D info:eu-repo/grantAgreement/ES/MCINN/AEI/PID2021-122580NB-I00 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 2.6 2023 COMPUTER SCIENCE, INFORMATION SYSTEMS 115 / 250 = 0.46 2023 Q2 T2 PHYSICS, APPLIED 81 / 179 = 0.453 2023 Q2 T2 ENGINEERING, ELECTRICAL & ELECTRONIC 157 / 353 = 0.445 2023 Q2 T2 0.644 2023 Computer Networks and Communications 2023 Q2 Control and Systems Engineering 2023 Q2 Signal Processing 2023 Q2 Hardware and Architecture 2023 Q2 Electrical and Electronic Engineering 2023 Q2 5.3 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Sanguesa, Julio A. Universidad de Zaragoza (orcid)0000-0001-7657-0075 Garrido, Piedad Universidad de Zaragoza (orcid)0000-0002-1750-7225 Martinez, Francisco J. Universidad de Zaragoza (orcid)0000-0001-6945-7330 Calafate, Carlos T. 5007 035 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Arquit.Tecnología Comput. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 12, 15 (2023), 3262 [21 pp] Electronics (Basel) Electronics (Basel) 2079-9292 1915950 http://zaguan.unizar.es/record/127990/files/texto_completo.pdf Versión publicada 2666640 http://zaguan.unizar.es/record/127990/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:127990 articulos driver 2026-01-27-15:07:28 ARTICLE