Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32240
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dc.contributor.authorYang, Q-
dc.date.accessioned2025-10-29T08:56:22Z-
dc.date.available2025-10-29T08:56:22Z-
dc.date.issued2025-10-01-
dc.identifierORCiD: Qingping Yang https://orcid.org/0000-0002-2557-8752-
dc.identifier.citationYang, Q. (2025) 'Towards a unification of measurement, AI, quality and sustainability: Foundations and principles', MATEC Web of Conferences, 413 (International Conference on Measurement, AI, Quality and Sustainability (MAIQS 2025), London, UK, 26-28 August), 00002, pp. 1 - 5. doi: 10.1051/matecconf/202541300002.en_US
dc.identifier.issn2274-7214-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/32240-
dc.descriptionNote to the reader: Figure 6 has been corrected in the PDF, on October 6, 2025.-
dc.description.abstractMeasurement, artificial intelligence (AI), quality, and sustainability are traditionally treated as distinct domains. To underpin and advance the science and technological developments, it is important and beneficial to develop a principled unifying framework for these fields. This paper first examines the deep connections of the concepts, models and mathematical characterisations of measurement, AI, quality and sustainability, and then proposes three foundational principles, formulated as three Laws to guide the integration of these domains, including Law of Oneness, Law of Dual Processes and Law of Measurement and Control Duality. These principles further lead to a generalised communication model supporting the unification of the four domains. They together will facilitate the advancement of the fields of measurement, AI, quality and sustainability, and underpin the development of the core science and technologies of Industry 4.0 and future Industry 4.0+.en_US
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherEDP Sciencesen_US
dc.rightsCreative Commons Attribution License 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.sourceInternational Conference on Measurement, AI, Quality and Sustainability (MAIQS 2025)-
dc.titleTowards a unification of measurement, AI, quality and sustainability: Foundations and principlesen_US
dc.typeConference Paperen_US
dc.date.dateAccepted2025-06-08-
dc.identifier.doihttps://doi.org/10.1051/matecconf/202541300002-
dc.relation.isPartOfMATEC Web of Conferences-
pubs.finish-date2025-08-28-
pubs.finish-date2025-08-28-
pubs.publication-statusPublished-
pubs.start-date2025-08-26-
pubs.start-date2025-08-26-
pubs.volume413-
dc.identifier.eissn2261-236X-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2025-06-08-
dc.rights.holderThe Authors-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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