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2020 | OriginalPaper | Chapter

Internet of Things and Artificial Intelligence—A Wining Partnership?

Authors : J. Semião, M. B. Santos, I. C. Teixeira, J. P. Teixeira

Published in: Convergence of Artificial Intelligence and the Internet of Things

Publisher: Springer International Publishing

Abstract

Hardware/Software (hw/sw) systems changed the human way of living. Internet of Things (IoT) and Artificial Intelligence (AI), now two dominant research themes, are intended and expected to change it more. Hopefully, for the good. In this book chapter, relevant challenges associated with the development of a “society” of intelligent smart objects are highlighted. Humans and smart objects are expected to interact. Humans with natural intelligence (people) and smart objects (things) with artificial intelligence. The Internet, the platform of globalization, has connected people around the world, and will be progressively the platform for connecting “things”. Will humans be able to build up an IoT that benefit them, while keeping a sustainable environment on this planet? How will designers guarantee that the IoT world will not run out of control? What are the standards? How to implement them? These issues are addressed in this chapter from the engineering and educational points of view. In fact, when dealing with “decision making systems”, not only design and test should guarantee the correct and safe operation, but also the soundness of the decisions such smart objects take, during their lifetime. The concept of Design for Accountability (DfA) is, thus, proposed and some initial guidelines are outlined.

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Literature
7.
go back to reference Xin, Y., Kong, L., Liu, Z., Chen, Y., Li, Y., Zhu, H., Gao, M., Hou, H., Wang, Ch.: Machine learning and deep learning methods for cybersecurity. IEEE Access 6, 35365–35381 (2018) Xin, Y., Kong, L., Liu, Z., Chen, Y., Li, Y., Zhu, H., Gao, M., Hou, H., Wang, Ch.: Machine learning and deep learning methods for cybersecurity. IEEE Access 6, 35365–35381 (2018)
9.
go back to reference Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29(7), 1645–1660 (2013) CrossRef Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29(7), 1645–1660 (2013) CrossRef
10.
go back to reference Park, T., Abuzainab, N., Saad, W.: Learning how to communicate in the internet of things: finite resources and heterogeneity. IEEE Access: Optim. Emerg. Wirel. Netw.: IoT, 5G Smart Grid Commun. Netw. Spec. Session, IEEE Access 4, 7063–7073 (2016) Park, T., Abuzainab, N., Saad, W.: Learning how to communicate in the internet of things: finite resources and heterogeneity. IEEE Access: Optim. Emerg. Wirel. Netw.: IoT, 5G Smart Grid Commun. Netw. Spec. Session, IEEE Access 4, 7063–7073 (2016)
12.
go back to reference Yu Shwe, H., King Jet, T., Han Joo Chong, P.: An IoT-oriented data storage framework in smart city applications. In: 2016 International Conference on Information and Communication Technology Convergence (ICTC), pp. 106–108 (2016) Yu Shwe, H., King Jet, T., Han Joo Chong, P.: An IoT-oriented data storage framework in smart city applications. In: 2016 International Conference on Information and Communication Technology Convergence (ICTC), pp. 106–108 (2016)
13.
go back to reference Mohon Ghosh, A., Halder, D., Alamgir Hossain, S.K.: Remote health monitoring system through IoT. In: 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), pp. 921–926 (2016) Mohon Ghosh, A., Halder, D., Alamgir Hossain, S.K.: Remote health monitoring system through IoT. In: 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), pp. 921–926 (2016)
14.
go back to reference Yamauchi, T., Kondo, H., Nii, K.: Automotive low power technology for IoT society. In: 2015 Symposium on VLSI Circuits (VLSI Circuits), pp. T80–T81 (2015) Yamauchi, T., Kondo, H., Nii, K.: Automotive low power technology for IoT society. In: 2015 Symposium on VLSI Circuits (VLSI Circuits), pp. T80–T81 (2015)
15.
go back to reference Nelson, G.S.: Getting started with data governance. In: Presented at the Annual Conference of the SAS Global Users Group, Dallas, TX, 28 Apr 2015 Nelson, G.S.: Getting started with data governance. In: Presented at the Annual Conference of the SAS Global Users Group, Dallas, TX, 28 Apr 2015
16.
go back to reference Ruan, J., et al.: An IoT-based E-business model of intelligent vegetable greenhouses and its key operations management issues. Neural Comput. Appl. 1–16 (2019) Ruan, J., et al.: An IoT-based E-business model of intelligent vegetable greenhouses and its key operations management issues. Neural Comput. Appl. 1–16 (2019)
17.
go back to reference He, H., et al.: The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence. In: 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, BC, pp. 1015–1021 (2016) He, H., et al.: The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence. In: 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, BC, pp. 1015–1021 (2016)
18.
go back to reference Xu, T., Wendt, J.B., Potkonjak, M.: Security of IoT systems: design challenges and opportunities. In: Proceedings of IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pp. 417–423 (2014) Xu, T., Wendt, J.B., Potkonjak, M.: Security of IoT systems: design challenges and opportunities. In: Proceedings of IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pp. 417–423 (2014)
20.
go back to reference Mollick, E.: Establishing Moore’s Law. IEEE Ann. Hist. Comput. 28(3), 62–75 (2006) Mollick, E.: Establishing Moore’s Law. IEEE Ann. Hist. Comput. 28(3), 62–75 (2006)
21.
go back to reference Bushnel, M.L., Agrawal, V.D.: Essentials of Electronic Testing for Digital Memory and Mixed-Signal VLSI Circuits. Kluwer Academic Publishers (2000) Bushnel, M.L., Agrawal, V.D.: Essentials of Electronic Testing for Digital Memory and Mixed-Signal VLSI Circuits. Kluwer Academic Publishers (2000)
23.
go back to reference Semião, J., Cabral, R., Cavalaria, H., Santos, M.B., Teixeira, I.C., Teixeira, J.P.: Ultra-low-power strategy for reliable IoE nanoscale integrated circuits. In: Harnessing the Internet of Everything (IoE) for Accelerated Innovation Opportunities. IGI Global (2019) Semião, J., Cabral, R., Cavalaria, H., Santos, M.B., Teixeira, I.C., Teixeira, J.P.: Ultra-low-power strategy for reliable IoE nanoscale integrated circuits. In: Harnessing the Internet of Everything (IoE) for Accelerated Innovation Opportunities. IGI Global (2019)
24.
go back to reference Valdés, M., Freijedo, J., Moure, M.J., Rodríguez-Andina, J.J., Semião, J., Vargas, F., Teixeira, I.C., Teixeira, J.P.: Design and validation of configurable on-line aging sensors in nanometer-scale FPGAs. IEEE Trans. Nanotechnol. 12(4), 508–517 (2013) CrossRef Valdés, M., Freijedo, J., Moure, M.J., Rodríguez-Andina, J.J., Semião, J., Vargas, F., Teixeira, I.C., Teixeira, J.P.: Design and validation of configurable on-line aging sensors in nanometer-scale FPGAs. IEEE Trans. Nanotechnol. 12(4), 508–517 (2013) CrossRef
26.
go back to reference Strubell, E., Ganesh, A., McCallum, A.: Energy and Policy Considerations for Deep Learning in NLP. University of Massachusetts at Amherst (2019) Strubell, E., Ganesh, A., McCallum, A.: Energy and Policy Considerations for Deep Learning in NLP. University of Massachusetts at Amherst (2019)
27.
go back to reference Mavromoustakis, C.X., et al.: Socially oriented edge computing for energy awareness in IoT architectures. IEEE Commun. Mag. 56(7), 139–145 (2018) Mavromoustakis, C.X., et al.: Socially oriented edge computing for energy awareness in IoT architectures. IEEE Commun. Mag. 56(7), 139–145 (2018)
30.
go back to reference Irimia-Vladu, M.: Green electronics: biodegradable and biocompatible materials and devices for sustainable future. Chem. Soc. Rev. 43, 588–610 (2014) CrossRef Irimia-Vladu, M.: Green electronics: biodegradable and biocompatible materials and devices for sustainable future. Chem. Soc. Rev. 43, 588–610 (2014) CrossRef
31.
go back to reference Cagala, T.: Improving data quality and closing data gaps with machine learning. In: IFC National Bank of Belgium Workshop on Data Needs and Statistics Compilation for Macroprudential Analysis. Brussels, Belgium, 18–19 May 2017 Cagala, T.: Improving data quality and closing data gaps with machine learning. In: IFC National Bank of Belgium Workshop on Data Needs and Statistics Compilation for Macroprudential Analysis. Brussels, Belgium, 18–19 May 2017
32.
go back to reference Khomh, F., Adams, B., Cheng, J., Fokaefs, M., Antoniol, G.: Software engineering for machine-learning applications—the road ahead. IEEE Comput. Edge, pp. 21–24 (2019) (also in IEEE Software, vol. 35, no. 5, 2018) Khomh, F., Adams, B., Cheng, J., Fokaefs, M., Antoniol, G.: Software engineering for machine-learning applications—the road ahead. IEEE Comput. Edge, pp. 21–24 (2019) (also in IEEE Software, vol. 35, no. 5, 2018)
Metadata
Title
Internet of Things and Artificial Intelligence—A Wining Partnership?
Authors
J. Semião
M. B. Santos
I. C. Teixeira
J. P. Teixeira
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-44907-0_15

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