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Studying usability of AI in the IoT systems/paradigm through embedding NN techniques into mobile smart service system

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Abstract

The Internet of Things (IoT) has emerged as a disruptive technology for the current and future of computing and communication. IoT is characterized by a variety of heterogeneous technologies and devices able to be connected to the Internet. Current and future research and development efforts aim at adding artificial intelligence to IoT systems, enabling devices to become smart and thus make autonomous decisions individually or collectively. Additionally, such smart devices have the ability to interact not only with other smart devices but also with humans. Thus, the aim of this paper is to investigate the usability of the artificial intelligence in the IoT paradigm. To achieve the approach, a system called smart-IoT is built based on artificial neural networks, namely, neural networks have been learned by back-propagation algorithm. The system is tested using mobile devices under Android as smart objects. Experiments with neural networks were carried on certain services (such as auto set alarms for a specific event, or estimating the time to return home). These experiments showed the feasibility of embedding neural networks techniques into the IoT system. The approach allows also for easy adding of new services, which in turn means that smart IoT is a modular and full-fledged system.

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References

  1. Anand M, Susan C (2015) Artificial intelligence meets Internet of Things. Int J Sci Eng Comput Technol 5:149

    Google Scholar 

  2. Arsenio A, Serra H, Francisco R, Nabais F, Andrade J, Serrano E (2014) Internet of intelligent things: bringing artificial intelligence into things and communication networks. In: Xhafa Bessis (ed) Inter-cooperative collective intelligence: techniques and applications. Springer, Berlin, p 137

    Google Scholar 

  3. Bari N, Mani G, Berkovich S (2013) Internet of Things as a methodological concept. In: 4th International conference on computing for geospatial research and application. IEEE, pp 48–55

  4. Bessis N, Xhafa F, Varvarigou D, Hill R, Li M (2013) Internet of Things and inter-cooperative computational technologies for collective intelligence. Springer, Berlin

    Book  Google Scholar 

  5. Chasaki D, Mansour Ch (2015) Security challenges in the Internet of Things. Int J Space-Based Situated Comput 5(3):141–149. https://doi.org/10.1504/IJSSC.2015.070945

    Article  Google Scholar 

  6. Chen F, Deng P, Wan J, Zhang D, Vasilakos AV, Rong X (2015) Data mining for the Internet of Things: literature review and challenges. J Distrib Sens Netw Int. https://doi.org/10.1155/2015/431047

    Article  Google Scholar 

  7. Chun-Wei T, Chin-Feng L, Athanasios V (2014) Future Internet of Things: open issues and challenges. Springer Science, New York

    Google Scholar 

  8. Chiuchisan I, Geman O (2014) An approach of a decision support and home monitoring system for patients with neurological disorders using Internet of Things concepts. WSEAS Trans Syst 13:460–469

    Google Scholar 

  9. Cui X (2016) The Internet of Things. In: Moran S (ed) Ethical ripples of creativity and innovation. Springer, Berlin, pp 61–68

    Google Scholar 

  10. Da Xu L, He W, Li S (2014) Internet of Things in industries: a survey. IEEE Trans Ind Inform 10:2233–2243

    Article  Google Scholar 

  11. daCosta F (2013) Rethinking the Internet of Things. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4302-5741-7

    Book  Google Scholar 

  12. Fan YJ, Yin YH, Da Xu L, Zeng Y, Wu F (2014) IoT-based smart rehabilitation system. IEEE Trans Ind Inform 10:1568–1577

    Article  Google Scholar 

  13. Fortino G, Guerrieri A, Russo W, Savaglio C (2014) Integration of agent-based and cloud computing for the smart objects-oriented IoT. In: Proceedings of the IEEE 18th international conference on computer supported cooperative work in design (CSCWD). IEEE, pp 493–498

  14. Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener Comput Syst 29:1645–1660

    Article  Google Scholar 

  15. Holler J, Tsiatsis V, Mulligan C, Avesand S, Karnouskos S, Boyle D (2014) From machine-to-machine to the Internet of Things: introduction to a new age of Intelligence. Academic Press, London

    Google Scholar 

  16. Hopfield JJ (2007) Hopfield network. Scholarpedia 2:1977. https://doi.org/10.4249/scholarpedia.1977

    Article  Google Scholar 

  17. Kelly SDT, Suryadevara NK, Mukhopadhyay SC (2013) Towards the implementation of IoT for environmental condition monitoring in homes. IEEE Sens J 13:3846–3853

    Article  Google Scholar 

  18. Khan R, Khan SU, Zaheer R, Khan S (2012) Future internet: the Internet of Things architecture, possible applications and key challenges. In: 10th international conference on frontiers of. information technology. IEEE, pp 257–260

  19. Lin N, Shi W (2014) The research on Internet of Things application architecture based on web. In: 2014 IEEE workshop on advanced research and technology in industry applications (WARTIA), pp 184–187. https://doi.org/10.1109/WARTIA.2014.6976227

  20. Madakam S, Ramaswamy R, Tripathi S (2015) Internet of Things (IoT): a literature review. J Comput Commun 3:164

    Article  Google Scholar 

  21. Migliardi M, Gaudina M, Brogni A (2012) Pervasive services and mobile devices may support human memory and enhance daily efficiency. Int J Space-Based Situated Comput 2(3):175–186. https://doi.org/10.1504/IJSSC.2012.048898

    Article  Google Scholar 

  22. Miori V, Russo D (2012) Anticipating health hazards through an ontology-based, IoT domotic environment. In: 6th international conference on innovative mobile and internet services in ubiquitous computing. IEEE, pp 745–750

  23. Morreale P, Goncalves A, Silva C (2015) Mobile ad hoc network communication for disaster recovery. Int J Space-Based Situated Comput 5(3):178–186. https://doi.org/10.1504/IJSSC.2015.070949

    Article  Google Scholar 

  24. OLeary DE (2013) Artificial intelligence and big data. IEEE Intell Syst 28:96–99

    Article  Google Scholar 

  25. Poniszewska-Maranda A, Kaczmarek D (2015) Selected methods of artificial intelligence for Internet of Things conception. In: Federated conference on computer science and information systems. IEEE, pp 1343–1348

  26. Settles B (2012) Active learning. Synth Lect Artif Intell Mach Learn 6:1–114. https://doi.org/10.2200/S00429ED1V01Y201207AIM018

    Article  MathSciNet  MATH  Google Scholar 

  27. Skouby KE, Lynggaard P (2014) Smart home and smart city solutions enabled by 5G, IoT, AAI and CoT services. In: International conference on contemporary computing and informatics. IEEE, pp 874–878

  28. Sula A, Spaho E, Matsuo K, Barolli L, Xhafa F, Miho R (2014) A new system for supporting children with autism spectrum disorder based on IoT and P2P technology. Int J Space-Based Situated Comput 4(1):55–64. https://doi.org/10.1504/IJSSC.2014.060688

    Article  Google Scholar 

  29. Tan L, Wang N (2010) Future internet: the Internet of Things. In: 3rd International conference on advanced computer theory and engineering. IEEE, pp V5-376

  30. Uckelmann D, Harrison M, Michahelles F (2011) Architecting the Internet of Things, 1st edn. Springer, Berlin

    Book  Google Scholar 

  31. Valera AJJ, Zamora MA, Skarmeta AF (2010) An architecture based on internet of things to support mobility and security in medical environments. In: 7th IEEE consumer communications and networking conference, pp 1–5

  32. Vermesan O, Friess P (2013) Internet of Things: converging technologies for smart environments and integrated ecosystems. River Publishers, San Francisco

    Google Scholar 

  33. White RW (1989) The artificial intelligence of urban dynamics: neural network modelling of urban structure. Pap Reg Sci 67:43–53

    Article  Google Scholar 

  34. Wu M, Lu T-J, Ling F-Y, Sun J, Du H-Y (2010) Research on the architecture of Internet of Things. In: 3rd International conference on advanced computer theory and engineering, vol 5, pp 484–487. https://doi.org/10.1109/ICACTE.2010.5579493

  35. Yun M, Yuxin B (2010) Research on the architecture and key technology of Internet of Things (IoT) applied on smart grid. In: International conference on advances in energy engineering. IEEE, pp 69–72

  36. Zhang XM, Zhang N (2011) An open, secure and flexible platform based on internet of things and cloud computing for ambient aiding living and telemedicine. In: International conference on computer and management. IEEE, pp 1–4

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Authors and Affiliations

  1. Lodz University of Technology, Lodz, Poland

    Aneta Poniszewska-Maranda & Daniel Kaczmarek

  2. Comenius University in Bratislava, Bratislava, Slovakia

    Natalia Kryvinska

  3. Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

Authors
  1. Aneta Poniszewska-Maranda
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  2. Daniel Kaczmarek
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  3. Natalia Kryvinska
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  4. Fatos Xhafa
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Correspondence to Fatos Xhafa.

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Poniszewska-Maranda, A., Kaczmarek, D., Kryvinska, N. et al. Studying usability of AI in the IoT systems/paradigm through embedding NN techniques into mobile smart service system. Computing 101, 1661–1685 (2019). https://doi.org/10.1007/s00607-018-0680-z

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  • DOI: https://doi.org/10.1007/s00607-018-0680-z

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