IOT MODELLING

DATA CAPTURE AND ALGORITHM DEVELOPMENT
MODELLING MOBILE APPLICATIONS USER BEHAVIOUR BY MEANS OF A IOT PLATFORM
  • IoT Platform
  • Cloud
  • Wearables
  • Algorithms

✓ Analysis of which data can be collected from mobile applications (common behaviours in the navigability of applications, time required to complete information requests, etc.) and their execution environment (through sensors such as GPS, accelerometer, clock, battery usage, etc.), to provide value to potential customers from the point of view of their business.

✓ Develop a base technology to easily incorporate information capture mechanisms into mobile applications developed by the company.

✓ Develop smart algorithms to derive new information useful to customers from the data collected in mobile applications and their execution context.

✓ Deploy a cloud infrastructure that includes an IoT platform on which to store the collected data and run the analytics algorithms.

✓ Validate the usefulness of the advances achieved to provide value to the company’s customers.

TORRES QUEVEDO contract grants 2017.
Ref.: PTQ-17-09481. From 1/01/2019 to 31/12/2021.
Ministry of Science and Innovation. Industrial Research Project.

“Dimensionality reduction for smart IoT sensors”
Electronics 2020, 9(12), 2035; JCR COMPUTER SCIENCE, INFORMATION SYSTEMS-2020: 93/161 (Q3).
J. Vizarraga, R. Casas, A. Marco, J.D. Buldain
https://doi.org/10.3390/electronics9122035

“Real-time extensive livestock monitoring using LPWAN smart wearable and infrastructure”
Applied Sciences. 2021, 11(3), 1240; JCR ENGINEERING, MULTIDISCIPLINARY-2020: 38/90 (Q2).
R. Casas, A. Hermosa, Á. Marco, T. Blanco, F. J. Zarazaga-Soria.
https://www.mdpi.com/2076-3417/11/3/1240

“Providing fault detection from sensor data in complex machines that build the SmartCity”
Sensors 2022, 22(2), 586; JCR ENGINEERING, ELECTRICAL & ELECTRONIC-2020: 82/273 (Q2).
Gascón, R. Casas, J.D. Buldain, A. Marco.
https://www.mdpi.com/1424-8220/22/2/586

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