000127990 001__ 127990 000127990 005__ 20241125101201.0 000127990 0247_ $$2doi$$a10.3390/electronics12153262 000127990 0248_ $$2sideral$$a135068 000127990 037__ $$aART-2023-135068 000127990 041__ $$aeng 000127990 100__ $$aHerrero, Angel C. 000127990 245__ $$aMoBiSea: a binary search algorithm for product clustering in Industry 4.0 000127990 260__ $$c2023 000127990 5060_ $$aAccess copy available to the general public$$fUnrestricted 000127990 5203_ $$aProprietary 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. 000127990 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/T40_23D$$9info:eu-repo/grantAgreement/ES/MCIN/AEI/PID2021-122580NB-I00 000127990 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000127990 590__ $$a2.6$$b2023 000127990 592__ $$a0.644$$b2023 000127990 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b115 / 250 = 0.46$$c2023$$dQ2$$eT2 000127990 591__ $$aPHYSICS, APPLIED$$b81 / 179 = 0.453$$c2023$$dQ2$$eT2 000127990 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b157 / 353 = 0.445$$c2023$$dQ2$$eT2 000127990 593__ $$aElectrical and Electronic Engineering$$c2023$$dQ2 000127990 593__ $$aComputer Networks and Communications$$c2023$$dQ2 000127990 593__ $$aSignal Processing$$c2023$$dQ2 000127990 593__ $$aHardware and Architecture$$c2023$$dQ2 000127990 593__ $$aControl and Systems Engineering$$c2023$$dQ2 000127990 594__ $$a5.3$$b2023 000127990 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000127990 700__ $$0(orcid)0000-0001-7657-0075$$aSanguesa, Julio A.$$uUniversidad de Zaragoza 000127990 700__ $$0(orcid)0000-0002-1750-7225$$aGarrido, Piedad$$uUniversidad de Zaragoza 000127990 700__ $$0(orcid)0000-0001-6945-7330$$aMartinez, Francisco J.$$uUniversidad de Zaragoza 000127990 700__ $$aCalafate, Carlos T. 000127990 7102_ $$15007$$2035$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Arquit.Tecnología Comput. 000127990 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000127990 773__ $$g12, 15 (2023), 3262 [21 pp]$$pElectronics (Basel)$$tElectronics$$x2079-9292 000127990 8564_ $$s1915950$$uhttps://zaguan.unizar.es/record/127990/files/texto_completo.pdf$$yVersión publicada 000127990 8564_ $$s2666640$$uhttps://zaguan.unizar.es/record/127990/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000127990 909CO $$ooai:zaguan.unizar.es:127990$$particulos$$pdriver 000127990 951__ $$a2024-11-22-12:11:33 000127990 980__ $$aARTICLE