PSI - Issue 64

Nicola Nisticò et al. / Procedia Structural Integrity 64 (2024) 2230–2237 Author name / Structural Integrity Procedia 00 (2019) 000–000

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and digitalization, which transforms these digital forms into meaningful, usable digital assets. The objective is to create comprehensive Digital Twins that serve as precise digital replicas, encompassing both the tangible and intangible characteristics of the items. By doing so, they provide a robust platform for developing immersive augmented reality (AR) experiences that can vividly showcase the historical context and evolutionary transformations of cultural heritage objects, thereby enhancing public engagement and educational outreach. Addressing this challenge requires the seamless integration of diverse philosophies, methodologies, expertise, and advanced technologies. Current advancements in data acquisition, enhanced by sophisticated algorithms and artificial intelligence techniques, play a critical role in this integration process. Moreover, the collaborative effort must incorporate various models, including geometrical and mechanical modeling, to ensure a holistic understanding and preservation of cultural heritage. A synergistic approach is paramount, where data, methodologies, and analyses converge to create a cohesive system. This comprehensive integration and its implications are further explored in Part II (Nisticò, 2024), which delves into the specifics algorithmic that could serve a multiscale approach tailored for the integration of geometrical and The author has conceptualized the work as a proposal submitted for approval within the framework of the HORIZON CL2-2023-HERITAGE-ECCCH-01 call. Acknowledgments are extended to the partner group, which encompasses various disciplines: Geomatics (University of Salerno), Mechanics, Computational Engineering, and Building Design (Sapienza University of Rome, University of Salerno, National Technical University of Athens, Cracow University of Technology), Computer Science (University of Salerno, University of Gent, University of Macedonia, Centre of Research and Technology, Thessalonica), Philosophy (Sapienza University of Rome), Social Science, and Experimental Pedagogy (University of Tor Vergata). References Abdulkarem, M., Samsudin, K., Rokhami, F.Z., Rasid, M.F.. 2020. Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction.Sstructural Health Monitoring 2020, Vol. 19(3) 693–735 Aloysius, N., Geetha, M.A., 2017. A review on Deep Convolutional Neural Networks. International Conference on Communication and Signal Processing, April 6-8, 2017, India. Barth, L. Haarmann, J., Ehrat, M., Fuchs, R., 2020. Systematization of Digital Twins: Ontology and Conceptual Framework CISS 2020: 2020 The 3rd International Conference on Information Science and System Cambridge United Kingdom March 19 - 22, 2020. Bolton, S.J., Cora, J.R., 2021. Virtual Equivalents of Real Objects (VEROs): A type of non-fungible token (NFT) that can help fund the 3D digitization of natural history collections. Megataxa, 2021- 006 (2): 093–095 https://www.mapress.com/j/mt/ Buchanan, B.G.; Shortliffe, E.H., 1984.Rule Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project Addison-Wesley, Reading, MA, 1984. Casini, A., Lotti, F., Picollo, M., Stefani, L. Buzzegoli, E., 1999. Image spectroscopy mapping technique for noninvasive analysis of paintings, Studies in Conservation, 1999 - 44:1, 39-48, DOI: 10.1179/sic.1999.44.1.39. Castellini, P., Esposito, E., Marchetti, B., Paone, N., Tomasini, E.P., 2003. New applications of Scanning Laser Doppler Vibrometry (SLDV) to non-destructive diagnostics of artworks: mosaics, ceramics, inlaid wood and easel painting. Journal of Cultural Heritage, 2003 - 4. Colucci, E. Xing, X., Kokla, M., Mostafavi, M.A., Noardo, F., Spanò, A., 2021. - Ontology-based semantic conceptualization of historical built heritage to generate parametric structured models from point clouds Applied Sciences 11 (6), 2021. Costanzo, A., Falcone, S., Piana, C.L., Lapenta, V., Musacchio, M., Sgamellotti, A., Buongiorno, M.F. Laser Scanning Investigation and Geophysical Monitoring to Characterise Cultural Heritage Current State and Threat by Traffic-Induce Vibrations: The Villa Farnesina in Rome. Remote Sens. 2022, 14, 5818. https://doi.org/10.3390/rs14225818. Darbellay, F. 2016. From Disciplinarity to Postdisciplinarity: Tourism Studies Dedisciplined. Tourism Analysis, Volume 21, Number 4, 2016, pp. 363-372(10) Publisher: Cognizant Communication Corporation. EC, 2023. Open Science: Aims for open science policy under Horizon Europe https://research-and-innovation.ec.europa.eu/strategy/strategy-2020 2024/our-digital-future/open-science_en (accessed in September 2023). Fang, J., Zhang, Y., Zhang, Y., Guo, H., Sun, Z. High-Definition Survey of Architectural Heritage Fusing Multisensors—The Case of Beamless Hall at Linggu Temple in Nanjing, China. Sensors 2022, 22, 3369. https://doi.org/10.3390/s22093369. Far, S.B., Rad, A., I., 2022. Applying Digital Twins in Metaverse: User Interface, Security and Privacy Challenges - 2022-Journal of Metaverse 2(1). Forsyth, D.A., 2002. Shape from texture without boundaries, Proceedings of the 7th European Conference on Computer Vision-Part III, 2003 - pp. 225-239, 2002, ISBN:3-540-43746-0. mechanical models Acknowledgements