Problem 2: “Analysis of temperature measurements for smart cooking”.
Academic Coordinator | Samuele Rubino, Interim Doctor Contracted Professor. Department of Differential Equations and Numerical Analysis, University of Seville, and Isabel Serra Mochales, Ph.D. in Mathematics, Complex Systems Group at Centre de Recerca Matmàtica (CRM) and CAOS group at BSC.
Business Coordinator | Emilio Placer Maruri, head of global gas pre-development (research lines & innovation).
Specialist | Ángel Gerardo Velázquez López, Professor in Aerospace Engineering, Polytechnic University of Madrid (UPM).
Description | The aim is to create simple solutions that improve the quality of life of users, as this is a must, especially for aging societies. To do this and based on the available sensors, which collect information through a continuous reading every 100 ms of voltage of a series of functions with a duration of around 10 minutes, the aim is to analyze said information and try to avoid events that may cause problems to the users. In most cases, a deep look allows us to identify trends that indicate what is going to happen, in this case, through a correlation between the changes in behavior of the variables studied with the events, that is, the second is known in the one in which the event occurs and a preliminary analysis of the captured variables is sought to try to predict in the following repetitions when there is a risk that the event will occur. From a mathematical point of view, it would be necessary to integrate numerical simulation problems with the data analysis.
Scope | Create simple solutions that improve the quality of life of users based on available sensors and identify trends of possible events in which numerical simulation problems should be integrated with data analysis.