Skip to main content
SpringerLink
Log in

Intelligent Development of Smart Cities: Deepint.net Case Studies

  • Conference paper
  • First Online:
Sustainable Smart Cities and Territories (SSCTIC 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 253))

Included in the following conference series:

Abstract

Deepint.net is a platform that has been designed to use Artificial Intelligence models for the analysis of datasets and real-time data sources, all without programming. This platform can be customized to read any type of data from webs, files, databases, sensors, it can also stream data in real time if needed. This paper presents deepint.net and how it can be used to construct a smart city management platform in a highly attractive, user- friendly and intuitive visualization environment. Deepint.net guides the creation and configuration of algorithms that analyze data optimally. The platform makes it possible to create dashboards for better visualization experience, moreover, they can be easily integrated in any other online application. This paper presents an efficient cyberphysical platform for the smart management of smart cities. It is efficient because it facilitates the implementation of data acquisition and data management methods, as well as data representation and dashboard configuration. The platform allows for the use of any type of data source, ranging from the measurements of multifunctional IoT sensing devices to relational and non-relational databases. It is also smart because it incorporates a complete artificial intelligence suite for data analysis; it includes techniques for data classification, clustering, forecasting, optimization, visualization, etc. It is also compatible with the edge computing concept, allowing for the distribution of intelligence and the use of intelligent sensors. The concept of smart cities is evolving and adapting to new applications; before, the trend was to come up with solutions for megacity management, now the focus has shifted creating intelligent neighbourhoods, districts or territories. In this paper, the platform is presented, and its architecture and functionalities are described.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Mortoja, M.G., Yigitcanlar, T.: Local drivers of anthropogenic climate change: quantifying the impact through a remote sensing approach in brisbane. Remote Sens. 12(14), 2270 (2020)

    Article  Google Scholar 

  2. Chamoso, P., González-Briones, A., Rodríguez, S., Corchado, J.M.: Tendencies of technologies and platforms in smart cities: a state-of-the-art review. Wirel. Commun. Mob. Comput. ID 3086854 (2018). https://doi.org/10.1155/2018/3086854

  3. Butler, L., Yigitcanlar, T., Paz, A.: Smart urban mobility innovations: a comprehensive review and evaluation. IEEE Access 8, 196034–196049 (2020)

    Article  Google Scholar 

  4. Corchado, J.M., et al.: Deepint.net: a rapid deployment platform for smart territories. Sensors 21(1), 236 (2021). https://doi.org/10.3390/s21010236

  5. Yigitcanlar, T., Butler, L., Windle, E., Desouza, K.C., Mehmood, R., Corchado, J.M.: Can building artificially intelligent cities safeguard humanity from natural disasters, pandemics, and other catastrophes? An Urban scholar’s perspective. Sensors 20(10), 2988 (2020). https://doi.org/10.3390/s20102988

  6. Chamoso, P., González-Briones, A., de la Prieta, F., Venyaga-Moorthy, K.G., Corchado, J.M.: Smart city as a distributed platform: toward a system for citizen-oriented management. Comput. Commun. 152, 323–332 (2020)

    Google Scholar 

  7. Casado-Vara, R., Martín, Á., del Rey, S., Affes, J.P., Corchado, J.M.: IoT network slicing on virtual layers of homogeneous data for improved algorithm operation in smart buildings. Future Gener. Comput. Syst. 102, 965–977 (2020)

    Article  Google Scholar 

  8. González Bedia, M., Corchado, J.M.: A planning strategy based on variational calcu lus for deliberative agents. Comput. Inf. Syst. 9, 2–13 (2002)

    Google Scholar 

  9. Wang, X., Li, T., Sun, S., Corchado, J.M.: A survey of recent advances in particle filters and remaining challenges for multitarget tracking. Sensors 17(12), 2707 (2017)

    Article  Google Scholar 

  10. González-Briones, A., Chamoso, P., Yoe, H., Corchado, J.M.: GreenVMAS: virtual organization based platform for heating greenhouses using waste energy from power plants. Sensors 18(3), 861 (2018)

    Google Scholar 

  11. Ridel, B., Reuter, P., Laviole, J., Mellado, N., Couture, N., Granier, X.: The revealing flashlight: Interactive spatial augmented reality for detail exploration of cultural heritage artifacts. J. Comput. Cultural Heritage 7(2), 6 (2014)

    Article  Google Scholar 

  12. Kim, T., Cho, J.Y., Lee, B.G.: Evolution to smart learning in public education: a case study of Korean public education. In: Ley, T., Ruohonen, M., Laanpere, M., Tatnall, A. (eds.) OST 2012. IAICT, vol. 395, pp. 170–178. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-37285-8_18

    Chapter  Google Scholar 

  13. Di Mascio, T., Vittorini, P., Gennari, R., Melonio, A., De La Prieta, F., Alrifai, M.: The learners’ user classes in the TERENCE adaptive learning system. In: Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, ICALT 2012, pp. 572–576, Rome, Italy, July 2012

    Google Scholar 

  14. Kavaratzis, M.: From city marketing to city branding: towards a theoretical framework for developing city brands. Place Branding Public Diplomacy 1(1), 58–73 (2004)

    Google Scholar 

  15. Chamoso, P., Rivas, A., Rodríguez, S., Bajo, J.: Relationship recommender system in a business and employment-oriented social network. Inf. Sci. 433–434, 204–220 (2018)

    Google Scholar 

  16. Benington, J., Moore, M.H.: Public Value: Theory and Practice. Palgrave Macmillan, Basingstoke (2011)

    Book  Google Scholar 

  17. Baccarne, B., Mechant, P., Schuurman, D.: Empowered Cities? An analysis of the structure and generated value of the smart city ghent. In: Smart City, Progress in IS, pp. 157–182. Springer International Publishing (2014). https://doi.org/10.1007/978-3-319-06160-3_8

  18. Neirotti, P., De Marco, A., Cagliano, A.C., Mangano, G., Scorrano, F.: Current trends in smart city initiatives: some stylised facts. Cities 38, 25–36 (2014)

    Article  Google Scholar 

  19. Sousa, T., Morais, H., Soares, J., Vale, Z.: Day-ahead resource scheduling in smart grids considering vehicle-to-Grid and network constraints. Appl. Energy 96, 183–193 (2012)

    Article  Google Scholar 

  20. Gomes, L., Faria, P., Morais, H., Vale, Z., Ramos, C.: Distributed, agent-based intelligent system for demand response program simulation in smart grids. IEEE Intell. Syst. 29(1), 56–65 (2014)

    Article  Google Scholar 

  21. De Paz, J.F., Bajo, J., Rodríguez, S., Villarrubia, G., Corchado, J.M.: Intelligent system for lighting control in smart cities. Inf. Sci. 372, 241–255 (2016)

    Article  Google Scholar 

  22. Viitanen, J., Kingston, R.: Smart cities and green growth: Outsourcing democratic and environmental resilience to the global technology sector. Environ. Plann. A 46(4), 803–819 (2014)

    Article  Google Scholar 

  23. González-Briones, A., Prieto, J., De La Prieta, F., Herrera-Viedma, E., Corchado, J.M.: Energy optimization using a case-based reasoning strategy. Sensors 18(3) ( 2018)

    Google Scholar 

  24. Chamoso, P., De Paz, J.F., Rodríguez, S., Bajo, J.: Smart cities simulation environ- ment for intelligent algorithms evaluation. In: ISAmI 2016: Ambient Intelligence- Software and Applications–7th International Symposium on Ambient Intelligence (ISAmI 2016), vol. 476 of Advances in Intelligent Systems and Computing, pp. 177–187. Springer International Publishing (2016). https://doi.org/10.1007/978-3-319-40114-0_20

  25. González-Briones, A., Chamoso, P., Yoe, H., Corchado, J.M.: GreenVMAS: virtual organization based platform for heating greenhouses using waste energy from power plants. Sensors 18(3) (2018)

    Google Scholar 

  26. Barthel, S., Isendahl, C.: Urban gardens, agriculture, and water management: sources of resilience for long-term food security in cities. Ecol. Econ. 86, 224–234 (2013)

    Google Scholar 

  27. Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Sensing as a service model for smart cities supported by internet of things. Trans. Emerg. Telecommun. Technol. 25(1), 81–93 (2014)

    Article  Google Scholar 

  28. Nowicka, K.: Smart city logistics on cloud computing model. Procedia-Soc. Behav. Sci. 151, 266–281 (2014)

    Article  Google Scholar 

  29. Hörold, S., Mayas, C., Krömker, H.: Towards paperless mobility information in public transport. In: Kurosu, M. (ed.) HCI 2015. LNCS, vol. 9169, pp. 340–349. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20901-2_31

    Chapter  Google Scholar 

  30. Jeske, T.: Floating car data from smartphones: what google and Waze know about you and how hackers can control traffic. In: Proceedings of the BlackHat Europe, pp. 1–12, Amsterdam, Netherlands (2013)

    Google Scholar 

  31. Krylovskiy, A., Jahn, M., Patti, E.: Designing a smart city internet of things platform with microservice architecture. In: Proceedings of the 3rd International Conference on Future Internet of Things and Cloud (FiCloud 2015), pp. 25–30, Rome, Italy, August 2015

    Google Scholar 

  32. Liu, X., Wang, X., Wright, G., Cheng, J.C.P., Li, X., Liu, R.: A state-of-the-art review on the integration of Building Information Modeling (BIM) and Geographic Information System (GIS). ISPRS Int. J. Geo-Inf. 6(2), 53 (2017)

    Article  Google Scholar 

  33. Tobi, S.U.M., Amaratunga, D., Noor, N.M.: Social enterprise applications in an urbanfacilities management setting. Facilities 31(5/6), 238–254 (2013)

    Google Scholar 

  34. Hernandez, L., Baladron, C., Aguiar, J.M., et al.: A survey on electric power demand forecasting: future trends in smart grids, microgrids and smart buildings. IEEE Commun. Surv. Tutorials 16(3), 1460–1495 (2014)

    Article  Google Scholar 

  35. Nguyen, T.A., Aiello, M.: Energy intelligent buildings based on user activity: a survey. Energy Build. 56(1), 244–257 (2013)

    Article  Google Scholar 

  36. Wilson, C., Hargreaves, T., Hauxwell-Baldwin, R.: Smart homes and their users: a systematic analysis and key challenges. Personal Ubiquitous Comput. 19(2), 463–476 (2014)

    Google Scholar 

  37. Gretzel, U., Sigala, M., Xiang, Z., Koo, C.: Smart tourism: foundations and developments. Electron. Mark. 25(3), 179–188 (2015)

    Article  Google Scholar 

  38. Koo, C., Ricci, F., Cobanoglu, C., Okumus, F.: Special issue on smart, connected hospitality and tourism. Inf. Syst. Front. 19(4), 699–703 (2017)

    Article  Google Scholar 

  39. Kumar, P., Morawska, L., Martani, C., et al.: The rise of low-cost sensing for managing air pollution in cities. Environ. Int. 75, 199–205 (2015)

    Article  Google Scholar 

  40. Khan, Z., Pervez, Z., Ghafoor, A.: Towards cloud based smart cities data security and privacy management. In: Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2014, pp. 806–811, London, UK, December 2014

    Google Scholar 

  41. González-Briones, A., Villarrubia, G., De Paz, J.F., Corchado, J.M.: A multi-agent system for the classification of gender and age from images. Comput. Vis. Image Underst. (2018). (in Press)

    Google Scholar 

  42. Solanas, A., Patsakis, C., Conti, M., et al.: Smart health: a context-aware health paradigm within smart cities. IEEE Commun. Mag. 52(8), 74–81 (2014)

    Article  Google Scholar 

  43. Black, A.D., Car, J., Pagliari, C., et al.: The impact of ehealth on the quality and safety of health care: a systematic overview. PLoS Med. 8(1), e1000387 (2011)

    Google Scholar 

  44. Hussain, A., Wenbi, R., Da Silva, A.L., Nadher, M., Mudhish, M.: Health and emergency care platform for the elderly and disabled people in the Smart City. J. Syst. Softw. 110, 253–263 (2015)

    Article  Google Scholar 

  45. Borràs, J., Moreno, A., Valls, A.: Intelligent tourism recommender systems: a sur vey. Expert Syst. Appl. 41(16), 7370–7389 (2014)

    Article  Google Scholar 

  46. Clohessy, T., Acton, T., Morgan, L.: Smart city as a service (SCaaS): a future roadmap for e-government smart city cloud computing initiatives. In: Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2014, pp. 836–841, London, UK, December 2014

    Google Scholar 

  47. Ali, S.M., Mehmood, C.A., Khawja, A., et al.: Micro-controller based smart electronic voting machine system. In: Proceedings of the 2014 IEEE International Conference on Electro/Information Technology, EIT 2014, pp. 438–442, Milwaukee, Wis, USA, June 2014

    Google Scholar 

  48. Janssen, M., van den Hoven, J.: Big and Open Linked Data (BOLD) in government: a challenge to transparency and privacy? Govern. Inf. Q. 32(4), 363–368 (2015)

    Article  Google Scholar 

  49. Perng, S.Y., Kitchin, R., Donncha, D.M.: Hackathons, entrepreneurship and the passionate making of smart cities (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. BISITE Research Group, University of Salamanca, 37007, Salamanca, Spain

    Juan M. Corchado & Francisco Pinto-Santos

  2. Texas A&M University at Qatar, 23874, Doha, Qatar

    Saber Trabelsi

  3. Air Institute, IoT Digital Innovation Hub, 37188, Salamanca, Spain

    Juan M. Corchado

  4. Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka, 535-8585, Japan

    Juan M. Corchado

  5. Msheireb Downtown Doha, Doha, Qatar

    Otman Aghmou

Authors
  1. Juan M. Corchado
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Francisco Pinto-Santos
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Otman Aghmou
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Saber Trabelsi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Francisco Pinto-Santos .

Editor information

Editors and Affiliations

  1. Department of Computing Science, Universidad Salamanca, Salamanca, Spain

    Juan M. Corchado

  2. Texas A&M University at Qatar, Doha, Qatar

    Saber Trabelsi

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Corchado, J.M., Pinto-Santos, F., Aghmou, O., Trabelsi, S. (2022). Intelligent Development of Smart Cities: Deepint.net Case Studies. In: Corchado, J.M., Trabelsi, S. (eds) Sustainable Smart Cities and Territories. SSCTIC 2021. Lecture Notes in Networks and Systems, vol 253. Springer, Cham. https://doi.org/10.1007/978-3-030-78901-5_19

Download citation

Publish with us

Policies and ethics

Search

Navigation