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Human-Centric Solutions and AI in the Smart City Context: The Industry 5.0 Perspective

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Research and Innovation Forum 2023 (RIIFORUM 2023)

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Abstract

The growth of new technologies is changing the industry’s operations, and, as a result, a new industrial revolution known as Industry 5.0 is on the rise. This paradigm reduced the focus on technology and assumed that the potential progress is based on the collaboration between humans and machines. The central core is based on integrating human-centered solutions, sustainability, and resilience. Besides, the rapid growth of the population and urban areas generates multiple problems in waste management, pollution, security, etc., leading to the need for intelligent solutions. Accordingly, artificial intelligence is introduced as a promising concept for the development of smart cities, thanks to the variety of technologies that can be integrated to improve citizen quality of life. This article will review the significant challenges and opportunities arising from the rise of smart cities and human-centered solutions under Industry 5.0. Furthermore, how artificial intelligence technologies can improve life, work, and interaction between citizens by applying advanced technologies such as machine learning, natural language processing, etc. A taxonomy of the main aspects of integrating these solutions will be made, and a conceptual model summarizing these solutions will be proposed.

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References

  1. Adel, A.: Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas. J. Cloud Comput. 11(1):40 (2022). https://doi.org/10.1186/s13677-022-00314-5

  2. Coelho, P., Bessa, C., Landeck, J., Silva, C.: Industry 5.0: the arising of a concept. Procedia Comput. Sci. 217, 1137–1144 (2023). https://doi.org/10.1016/j.procs.2022.12.312

  3. Leng, J., Sha, W., Wang, B., Zheng, P., Zhuang, C., Liu, Q., Wuest, T., Mourtzis, D., Wang, L.: Industry 5.0: prospect and retrospect. J. Manuf. Syst. 65, 279–295 (2022). https://doi.org/10.1016/j.jmsy.2022.09.017

  4. Huang, S., Wang, B., Li, X., Zheng, P., Mourtzis, D., Wang, L.: Industry 5.0 and Society 5.0—comparison, complementation and co-evolution. J. Manuf. Syst. 64, 424–428 (2022)

    Google Scholar 

  5. Voda, A.I., Radu, L.D.: How can artificial intelligence respond to smart cities challenges? In: Smart Cities: Issues and Challenges, pp. 199–216. Elsevier (2019). https://doi.org/10.1016/B978-0-12-816639-0.00012-0

  6. Ullah, Z., Al-Turjman, F., Mostarda, L., Gagliardi, R.: Applications of artificial intelligence and machine learning in smart cities. Comput. Commun. 154, 313–323 (2020). https://doi.org/10.1016/j.comcom.2020.02.069

  7. Band, S.S., Ardabili, S., Sookhak, M., Chronopoulos, A.T., Elnaffar, S., Moslehpour, M., Csaba, M., Torok, B., Pai, H.T., Mosavi, A.: When smart cities get smarter via machine learning: an in-depth literature review. IEEE Access 10, 60985–61015 (2022). https://doi.org/10.1109/ACCESS.2022.3181718

  8. Herath, H.M.K.K.M.B., Mittal, M.: Adoption of artificial intelligence in smart cities: a comprehensive review. Int. J. Inf. Manage. Data Insights 2(1), 100076 (2022)

    Google Scholar 

  9. Kashef, M., Visvizi, A., Troisi, O.: Smart city as a smart service system: human-computer interaction and smart city surveillance systems. Comput. Human Behav. 124, 106923 (2021). https://doi.org/10.1016/j.chb.2021.106923

  10. Farrokhi, A., Farahbakhsh, R., Rezazadeh, J., Minerva, R.: Application of Internet of Things and artificial intelligence for smart fitness: a survey. Comput. Netw. 189, 107859 (2021). https://doi.org/10.1016/j.comnet.2021.107859

  11. Alshamrani, M.: IoT and artificial intelligence implementations for remote healthcare monitoring systems: a survey. J. King Saud Univ. Comput. Inf. Sci. 34(8, Part A), 4687–4701 (2022). https://doi.org/10.1016/j.jksuci.2021.06.005

  12. Kumar, P., Chauhan, S., Awasthi, L.K.: Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions. Eng. Appl. Artif. Intell. 120, 105894 (2023). https://doi.org/10.1016/j.engappai.2023.105894

  13. Peral, J., Sánchez, V., Guerrero, M., Mora, H., Gil, D.: Chapter 6—QoS of mobile cloud computing applications in healthcare. In: Lytras, M.D., Sarirete, A., Visvizi, A., Chui, K.T. (eds.) Artificial intelligence and big data analytics for smart healthcare, pp. 81–96. Next Gen Tech Driven Personalized Med & Smart Healthcare. Academic Press (2021). https://doi.org/10.1016/B978-0-12-822060-3.00002-4

  14. Mendoza-Tello, J.C., Mendoza-Tello, T., Mora, H.: Blockchain as a healthcare insurance fraud detection tool. In: Visvizi, A., Lytras, M.D., Aljohani, N.R. (eds.) Research and innovation forum 2020, pp. 545–552. Springer Proceedings in Complexity. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-62066-0_41

  15. Hilal, A.M., Alfurhood, B.S., Al-Wesabi, F.N., Hamza, M.A., Al Duhayyim, M., Iskandar, H.G.: Artificial intelligence based sentiment analysis for health crisis management in smart cities. Comput. Mater. Continua, 143–157 (2022). https://doi.org/10.32604/cmc.2022.021502

  16. Pujol, F.A., Mora, H., Pertegal, M.L.: A soft computing approach to violence detection in social media for smart cities. Soft Computing 24(15), 11007–11017 (2020). https://doi.org/10.1007/s00500-019-04310-x

  17. Hoornweg, D., Bhada-Tata, P.: What a waste: a global review of solid waste management. Tech. Rep., World Bank, Washington, DC (2012). https://openknowledge.worldbank.org/handle/10986/17388

  18. Hasan, B.M.R., Yeazdani, A.M.M.G., Istiaque, L.M., Chowdhury, R.M.K.: Smart waste management system using IoT. Thesis, BRAC University (2017). http://dspace.bracu.ac.bd/xmlui/handle/10361/8718

  19. Folianto, F., Low, Y.S., Yeow, W.L.: Smartbin: smart waste management system. In: 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 1–2 (2015). https://doi.org/10.1109/ISSNIP.2015.7106974

  20. Shyam, G.K., Manvi, S.S., Bharti, P.: Smart waste management using Internet-of-Things (IoT). In: 2017 2nd International Conference on Computing and Communications Technologies (ICCCT), pp. 199–203 (2017). https://doi.org/10.1109/ICCCT2.2017.7972276

  21. Wijaya, A.S., Zainuddin, Z., Niswar, M.: Design a smart waste bin for smart waste management. In: 2017 5th International Conference on Instrumentation, Control, and Automation (ICA), pp. 62–66 (2017). https://doi.org/10.1109/ICA.2017.8068414

  22. Aazam, M., St-Hilaire, M., Lung, C.H., Lambadaris, I.: Cloud-based smart waste management for smart cities. In: 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD), pp. 188–193 (2016). https://doi.org/10.1109/CAMAD.2016.7790356

  23. Abdullah, N., Alwesabi, O.A., Abdullah, R.: IoT-based smart waste management system in a smart city. In: Saeed, F., Gazem, N., Mohammed, F., Busalim, A. (eds.) Recent trends in data science and soft computing, pp. 364–371. Advances in Intelligent Systems and Computing. Springer International Publishing, Cham (2019). https://doi.org/10.1007/978-3-319-99007-1_35

  24. Saeedi, K., Visvizi, A., Alahmadi, D., Babour, A.: Smart cities and households’ recyclable waste management: the case of Jeddah. Sustainability 15(8), 6776 (2023). https://doi.org/10.3390/su15086776

  25. Chowdhury, B., Chowdhury, M.U.: RFID-based real-time smart waste management system. In: 2007 Australasian Telecommunication Networks and Applications Conference, pp. 175–180 (2007). https://doi.org/10.1109/ATNAC.2007.4665232

  26. Zhang, A., Venkatesh, V.G., Liu, Y., Wan, M., Qu, T., Huisingh, D.: Barriers to smart waste management for a circular economy in China. J. Clean. Prod. 240, 118198 (2019). https://doi.org/10.1016/j.jclepro.2019.118198

  27. Troisi, O., Kashef, M., Visvizi, A.: Managing safety and security in the smart city: Covid-19, emergencies and smart surveillance. In: Managing Smart Cities: Sustainability and Resilience Through Effective Management, pp. 73–88. Springer (2022). https://doi.org/10.1007/978-3-030-93585-6_5

  28. Visvizi, A., Mora, H., Varela-Guzman, E.G.: The case of rwallet: a blockchain-based tool to navigate some challenges related to irregular migration. Comput. Human Behav. 139, 107548 (2023). https://doi.org/10.1016/j.chb.2022.107548

  29. Braun, T., Fung, B.C.M., Iqbal, F., Shah, B.: Security and privacy challenges in smart cities. Sustain. Cities Soc. 39, 499–507 (2018). https://doi.org/10.1016/j.scs.2018.02.039

  30. Ismagilova, E., Hughes, L., Rana, N.P., Dwivedi, Y.K.: Security, privacy and risks within smart cities: literature review and development of a smart city interaction framework. Inf. Syst. Front. 24(2), 393–414 (2022). https://doi.org/10.1007/s10796-020-10044-1

  31. Martinez-Balleste, A., Perez-martinez, P.A., Solanas, A.: The pursuit of citizens’ privacy: a privacy-aware smart city is possible. IEEE Commun. Mag. 51(6), 136–141 (2013). https://doi.org/10.1109/MCOM.2013.6525606

  32. Li, Y., Dai, W., Ming, Z., Qiu, M.: Privacy protection for preventing data over-collection in smart city. IEEE Trans. Comput. 65(5), 1339–1350 (2016). https://doi.org/10.1109/TC.2015.2470247

  33. Weber, M., Podnar Žarko, I.: A regulatory view on smart city services. Sensors 19(2), 415 (2019). https://doi.org/10.3390/s19020415

  34. Badii, C., Bellini, P., Difino, A., Nesi, P.: Smart city IoT platform respecting GDPR privacy and security aspects. IEEE Access 8, 23601–23623 (2020). https://doi.org/10.1109/ACCESS.2020.2968741

  35. Nguyen, D.C., Ding, M., Pathirana, P.N., Seneviratne, A., Li, J., Poor, H.V.: Federated learning for internet of things: a comprehensive survey. IEEE Commun. Surv. Tutor. 23(3), 1622–1658 (2021). https://doi.org/10.1109/COMST.2021.3075439

  36. Elouali, A., Mora Mora, H., Mora-Gimeno, F.J.: Data transmission reduction formalization for cloud offloading-based IoT systems. J. Cloud Comput. 12(1), 1–12 (2023). https://doi.org/10.1186/s13677-023-00424-8

  37. Jiang, J.C., Kantarci, B., Oktug, S., Soyata, T.: Federated learning in smart city sensing: challenges and opportunities. Sensors 20(21), 6230 (2020). https://doi.org/10.3390/s20216230

  38. Zheng, Z., Zhou, Y., Sun, Y., Wang, Z., Liu, B., Li, K.: Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges. Connection Sci. 34(1), 1–28 (2022). https://doi.org/10.1080/09540091.2021.1936455

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Acknowledgements

This work was supported by the Spanish Research Agency (AEI) under project HPC4Industry PID2020-120213RB-I00.

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Authors and Affiliations

  1. Department of Computer Technology and Computation, University of Alicante, Alicante, Spain

    Tamai Ramírez-Gordillo, Higinio Mora, Antonio Maciá-Lillo, Sandra Amador & David Gil

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  1. Tamai Ramírez-Gordillo
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  2. Higinio Mora
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  3. Antonio Maciá-Lillo
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  4. Sandra Amador
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  5. David Gil
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Correspondence to Tamai Ramírez-Gordillo .

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Editors and Affiliations

  1. SGH Warsaw School of Economics, Warsaw, Poland

    Anna Visvizi

  2. Università degli Studi di Salerno, Fisciano, Italy

    Orlando Troisi

  3. University of Messina, Messina, Italy

    Vincenzo Corvello

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Ramírez-Gordillo, T., Mora, H., Maciá-Lillo, A., Amador, S., Gil, D. (2024). Human-Centric Solutions and AI in the Smart City Context: The Industry 5.0 Perspective. In: Visvizi, A., Troisi, O., Corvello, V. (eds) Research and Innovation Forum 2023. RIIFORUM 2023. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-44721-1_16

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