The Role of Internet of Things (IoT) in Transforming Facilities Management in Smart Cities
DOI:
https://doi.org/10.55938/ijgasr.v3i2.76Keywords:
User-Centric Strategy , Internet Of Things (Iot), Counterfeit Insights (AI), FMP, Centralized, Cloud-Based, Computerized TwinsAbstract
The shift in urban foundation and administrations inside keen cities requests a comprehensive, innovative, and user-centric strategy that continues coordinating cutting-edge advances. This paper presents a spearheading approach that leverages the control of the Web of Things (IoT), Counterfeit Insights (AI), and Machine Learning (ML) to revolutionize the way shrewd city offices are overseen. At the centre of this strategy is the improvement of a centralized, cloud-based Offices Administration Stage (FMP) that serves as the spine for keen city operations. The FMP acts as an integrated hub, drawing together information from numerous IoT sensors, building automation systems, and other urban infrastructure. The policy also encourages user-centred design in light of improving occupant comfort, productivity, and well-being. Backed by IoT sensors and AI-driven building computerization frameworks, robust natural condition control and vitality utilization streamlining of the FMP can assist in conveying a predominant client involvement inside savvy city office.
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Shrouf, F.; Miragliotta, G. Energy management based on Internet of Things: Practices and framework for adoption in production management. J. Clean. Prod. 2015, 100, 235–246. DOI: https://doi.org/10.1016/j.jclepro.2015.03.055
Ejaz, W.; Naeem, M.; Shahid, A.; Anpalagan, A.; Jo, M. Efficient energy management for the internet of things in smart cities. IEEE Commun. Mag. 2017, 55, 84–91. DOI: https://doi.org/10.1109/MCOM.2017.1600218CM
Hui, T.K.; Sherratt, R.S.; Sánchez, D.D. Major requirements for building Smart Homes in Smart Cities based on Internet of Things technologies. Future Gener. Comput. Syst. 2017, 76, 358–369. DOI: https://doi.org/10.1016/j.future.2016.10.026
Stojkoska, B.L.R.; Trivodaliev, K.V. A review of Internet of Things for smart home: Challenges and solutions. J. Clean. Prod. 2017, 140, 1454–1464 DOI: https://doi.org/10.1016/j.jclepro.2016.10.006
Noguera-Arnaldos, J.Á.; Paredes-Valverde, M.A.; Salas-Zárate, M.P.; Rodríguez-García, M.Á.; Valencia-García, R.; Ochoa, J.L. im4Things: An Ontology-Based Natural Language Interface for Controlling Devices in the Internet of Things. In Current Trends on Knowledge-Based Systems; Springer International Publishing AG: Basel, Switzerland, 2017; pp. 3–22 DOI: https://doi.org/10.1007/978-3-319-51905-0_1
Chen, M.; Yang, J.; Zhu, X.; Wang, X.; Liu, M.; Song, J. Smart home 2.0: Innovative smart home system powered by botanical IoT and emotion detection. Mob. Netw. Appl. 2017, 22, 1159–1169 DOI: https://doi.org/10.1007/s11036-017-0866-1
Ngu, A.H.; Gutierrez, M.; Metsis, V.; Nepal, S.; Sheng, Q.Z. IoT middleware: A survey on issues and enabling technologies. IEEE Internet Things J. 2017, 4, 1–20. DOI: https://doi.org/10.1109/JIOT.2016.2615180
Park, E.; Cho, Y.; Han, J.; Kwon, S.J. Comprehensive Approaches to User Acceptance of Internet of Things in a Smart Home Environment. IEEE Internet Things J. 2017, 4, 2342–2350 DOI: https://doi.org/10.1109/JIOT.2017.2750765
Jarwar, M.A.; Chong, I. Exploiting IoT services by integrating emotion recognition in Web of Objects. In Proceedings of the 2017 International Conference on Information Networking (ICOIN), Da Nang, Vietnam, 11–13 January 2017; pp. 54–56. DOI: https://doi.org/10.1109/ICOIN.2017.7899474
Ahmad, S.; Hang, L.; Kim, D.H. Design and Implementation of Cloud-Centric Configuration Repository for DIY IoT Applications. Sensors 2018, 18, 474. DOI: https://doi.org/10.3390/s18020474
Sas, C.; Neustaedter, C. Exploring DIY practices of complex home technologies. ACM Trans. Comput. Hum. Interact. 2017, 24, 16. DOI: https://doi.org/10.1145/3057863
Barrow, C.J. Developing the Environment: Problems & Management; Routledge: Abingdon, UK, 2014. DOI: https://doi.org/10.4324/9781315844923
Zanella, A.; Bui, N.; Castellani, A.; Vangelista, L.; Zorzi, M. Internet of things for smart cities. IEEE Internet Things J. 2014, 1, 22–32. DOI: https://doi.org/10.1109/JIOT.2014.2306328
Familiar, B.; Barnes, J. Sensors, Devices, and Gateways. In Business in Real-Time Using Azure IoT and Cortana Intelligence Suite; Apress: Berkeley, CA, USA, 2017; pp. 127–168. DOI: https://doi.org/10.1007/978-1-4842-2650-6_4
Kaushik, P. (2023) “Congestion Articulation Control Using Machine Learning Technique”, Amity Journal of Professional Practices. Florida, USA, 3(01). doi: 10.55054/ajpp.v3i01.631. DOI: https://doi.org/10.55054/ajpp.v3i01.631
Chen, H.F.; Lin, Y.T.; Wu, C.H.; He, Z.H.; Liou, B.L.; Liao, Y.K. Smart control module design for IoT applications by a power meter SoC. In Proceedings of the 2015 International Conference on Applied System Innovation (ICASI 2015), Osaka, Japan, 22–27 May 2015; pp. 383–386. DOI: https://doi.org/10.1201/b21811-82
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Copyright (c) 2024 Ruchika Sinha
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