• Control de consumo energético usando Internet of Things 

      Serrano Hipólito, Daryl (2020-11-03)
      Diseño e implementación de un sistema Internet de las Cosas para el hogar, que permite registrar, controlar y calcular el consumo de energía eléctrica de los dispositivos de un hogar. Para realizar esta tarea, se han ...
    • Designing a Project for Learning Industry 4.0 by Applying IoT to Urban Garden 

      Hormigo-Aguilar, Javier; Rodriguez-Moreno, Andres (2019-10-11)
      The fast evolution of technologies forces teachers to trade content off for self-learning. Project-based learning (PBL) is one of the best ways to promote self-learning and simultaneously boost motivation. In this paper, ...
    • Driver Linux con soporte Industrial I/O para sensor de consumo 

      Téllez Chica, Agustín (2020-11-03)
      La plataforma Raspberry Pi aúna el bajo consumo, bajo coste y la potencia de un SO Linux en una pequeña placa de desarrollo que ofrece múltiples GPIOs (E/S de propósito general) para conectar dispositivos externos con ...
    • DRIVER LINUX PARA PANTALLA OLED SSD1306 I2C 

      Navarro González, José Carlos (2018-11-20)
      Este proyecto consiste en la realización de un driver de dispositivos para Linux para poder usar fácilmente desde el espacio de usuario una pequeña pantalla Oled SSD1306 conectada al bus serie i2c, para ello hemos utilizado ...
    • Project based learning on industrial informatics: applying IoT to urban garden 

      Hormigo-Aguilar, Javier; Rodriguez-Moreno, Andres (2018-06-28)
      The fast evolution of technologies forces teachers to trade content off for self-learning. PBL is one of the best ways to promote self-learning and simultaneously boost motivation. In this paper, we present our experience ...
    • Time Series Heterogeneous Co-execution on CPU+GPU 

      Romero, José Carlos; Gonzalez-Navarro, Maria Angeles; Rodriguez-Moreno, Andres; Asenjo-Plaza, Rafael; Cole, Murray (2019-07-10)
      Time series motif (similarities) and discords discovery is one of the most important and challenging problems nowadays for time series analytics. We use an algorithm called “scrimp” that excels in collecting the relevant ...