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Article

Deepint.net: A Rapid Deployment Platform for Smart Territories

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BISITE Research Group, University of Salamanca, 37007 Salamanca, Spain
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Air Institute, IoT Digital Innovation Hub, 37188 Salamanca, Spain
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Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
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Research Group on Agent-Based, Social and Interdisciplinary Applications (GRASIA), Complutense University of Madrid, 28040 Madrid, Spain
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Institute For Artificial Intelligence & Big Data, Universiti Malaysia Kelantan, Kelantan 16100, Malaysia
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Texas A&M University at Qatar, Doha 23874, Qatar
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IBM, 28108 Madrid, Spain
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Viewnext, 28036 Madrid, Spain
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School of Built Environment, Queensland University of Technology, 2 George Street, Brisbane, QLD 4000, Australia
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ALGORITMI Centre/Department of Informatics, University of Minho, 4710-070 Braga, Portugal
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Digital Manufacturing Education and Research Center, Division of Data Driven Smart System, Hiroshima University, Hiroshima 739-8511, Japan
*
Author to whom correspondence should be addressed.
Sensors 2021, 21(1), 236; https://doi.org/10.3390/s21010236
Received: 20 November 2020 / Revised: 24 December 2020 / Accepted: 28 December 2020 / Published: 1 January 2021
(This article belongs to the Special Issue Computational Intelligence and Intelligent Contents (CIIC))
This paper presents an efficient cyberphysical platform for the smart management of smart territories. 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 a multi-functional IoT sensing devices to relational and non-relational databases. It is also smart because it incorporates a complete artificial intelligence suit 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; the trend to create intelligent neighbourhoods, districts or territories is becoming increasingly popular, as opposed to the previous approach of managing an entire megacity. In this paper, the platform is presented, and its architecture and functionalities are described. Moreover, its operation has been validated in a case study where the bike renting service of Paris—Vélib’ Métropole has been managed. This platform could enable smart territories to develop adapted knowledge management systems, adapt them to new requirements and to use multiple types of data, and execute efficient computational and artificial intelligence algorithms. The platform optimizes the decisions taken by human experts through explainable artificial intelligence models that obtain data from IoT sensors, databases, the Internet, etc. The global intelligence of the platform could potentially coordinate its decision-making processes with intelligent nodes installed in the edge, which would use the most advanced data processing techniques. View Full-Text
Keywords: smart cities; smart cyberphysical platform; data analysis; data visualization; edge computing; artificial intelligence; bike renting smart cities; smart cyberphysical platform; data analysis; data visualization; edge computing; artificial intelligence; bike renting
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MDPI and ACS Style

Corchado, J.M.; Chamoso, P.; Hernández, G.; Gutierrez, A.S.R.; Camacho, A.R.; González-Briones, A.; Pinto-Santos, F.; Goyenechea, E.; Garcia-Retuerta, D.; Alonso-Miguel, M.; Hernandez, B.B.; Villaverde, D.V.; Sanchez-Verdejo, M.; Plaza-Martínez, P.; López-Pérez, M.; Manzano-García, S.; Alonso, R.S.; Casado-Vara, R.; Tejedor, J.P.; Prieta, F.d.l.; Rodríguez-González, S.; Parra-Domínguez, J.; Mohamad, M.S.; Trabelsi, S.; Díaz-Plaza, E.; Garcia-Coria, J.A.; Yigitcanlar, T.; Novais, P.; Omatu, S. Deepint.net: A Rapid Deployment Platform for Smart Territories. Sensors 2021, 21, 236. https://doi.org/10.3390/s21010236

AMA Style

Corchado JM, Chamoso P, Hernández G, Gutierrez ASR, Camacho AR, González-Briones A, Pinto-Santos F, Goyenechea E, Garcia-Retuerta D, Alonso-Miguel M, Hernandez BB, Villaverde DV, Sanchez-Verdejo M, Plaza-Martínez P, López-Pérez M, Manzano-García S, Alonso RS, Casado-Vara R, Tejedor JP, Prieta Fdl, Rodríguez-González S, Parra-Domínguez J, Mohamad MS, Trabelsi S, Díaz-Plaza E, Garcia-Coria JA, Yigitcanlar T, Novais P, Omatu S. Deepint.net: A Rapid Deployment Platform for Smart Territories. Sensors. 2021; 21(1):236. https://doi.org/10.3390/s21010236

Chicago/Turabian Style

Corchado, Juan M., Pablo Chamoso, Guillermo Hernández, Agustín S.R. Gutierrez, Alberto R. Camacho, Alfonso González-Briones, Francisco Pinto-Santos, Enrique Goyenechea, David Garcia-Retuerta, María Alonso-Miguel, Beatriz B. Hernandez, Diego V. Villaverde, Manuel Sanchez-Verdejo, Pablo Plaza-Martínez, Manuel López-Pérez, Sergio Manzano-García, Ricardo S. Alonso, Roberto Casado-Vara, Javier P. Tejedor, Fernando d.l. Prieta, Sara Rodríguez-González, Javier Parra-Domínguez, Mohd S. Mohamad, Saber Trabelsi, Enrique Díaz-Plaza, Jose A. Garcia-Coria, Tan Yigitcanlar, Paulo Novais, and Sigeru Omatu. 2021. "Deepint.net: A Rapid Deployment Platform for Smart Territories" Sensors 21, no. 1: 236. https://doi.org/10.3390/s21010236

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