ABSTRACT
In the railway sector, rolling stock and infrastructure must be maintained in perfect condition to ensure reliable and safe operation for passengers. Climate change is affecting the urban and regional infrastructure through sea level rise, water accumulations, river flooding, and other increased-frequency extreme natural situations (heavy rains or snows) which pose a challenge to maintenance. In this paper, the use of artificial intelligence based on predictive maintenance implementation is proposed for the early detection of degraded conditions of a bridge due to extreme climatic conditions. For this prediction, continuous monitoring is proposed, with the aim of establishing alarm thresholds to detect dangerous situations, so restrictions could be determined to mitigate the risk. However, one of the main challenges for railway infrastructure managers nowadays is the high cost of monitoring large infrastructures. In this work, a methodology for monitoring railway infrastructures to define the optimal number of transductors that are economically viable and the thresholds according to which infrastructure managers can make decisions concerning traffic safety is proposed. The methodology consists of three phases that use the application of machine learning (Random Forest) and artificial cognitive systems (LSTM recurrent neural networks).
ABSTRACT
Las personas con enfermedad mental crónica requieren, a causa de los déficits que provoca su enfermedad, una serie de actuaciones, programas y actividades relacionadas con la rehabilitación psicosocial que mejoren su calidad de vida y les doten de una mayor autonomía. Por esta razón, decidimos elaborar un Programa de Educación de la Actividad Física para personas con Enfermedad Mental Crónica (E.M.C). Las personas que sufren enfermedad mental crónica y se encuentran ingresados en diversos centros, tienden a adoptar una vida sedentaria poco adecuada a sus necesidades vitales como personas adultas. Con este Programa se pretende no sólo que los pacientes lo lleven a cabo de una forma óptima y productiva, sino que puedan adoptar diversos hábitos, costumbres y actitudes y logren conseguir una motivación que les lleve a incorporar la actividad física a su vida cotidiana posibilitando la obtención de beneficios a nivel biológico, psicológico y social
People with chronic mental illness require, because of deficits caused by their illness, a series of actions, programs and activities related to psychosocial rehabilitation that will improve their quality of life and equip them with greater autonomy. For this reason, we decided to develop a Program of Education in Physical Activity for People with Chronic Mental Illness (EMC). People suffering chronic mental illness are admitted to various centers, they tend to adopt a sedentary lifestyle unsuitable for their vital needs as adults. This program is intended not only that patients carry out the optimal and productive but can adopt different habits, customs and attitudes and achieve motivation that leads them to incorporate physical activity into their daily lives enabling obtaining benefits to biological, psychological and social level
