7,313 research outputs found
La ejecución de infraestructuras en el medio rural
La preocupación del hombre por cuidar sus intervenciones en el medio natural es relativamente reciente y proviene de esa relación del hombre con la naturaleza que supone el hecho de construir y de la generación del lugar. La creciente conciencia social y el convencimiento de la necesidad de conservar el equilibrio natural como forma de proteger la biodiversidad y conservar el espacio, ha mediatizado las intervenciones en el medio natural, provocando inseguridades y dudas que se reflejan en lo allí construido. La solución habitual ha sido "no hacer" o "hacer lo mínimo", apoyándose en lo ya existente. Se propone valorar el paisaje como un recurso natural más del espacio, afectado por las intervenciones de carácter antrópico que se producen sobre el mismo. Esta propuesta pretende reflexionar la forma de actuar en los espacios físicos para su adecuación a las necesidades planteadas, con el objetivo de su utilización y disfrute
Numerical simulation of runoff from extreme rainfall events in a mountain water catchment
A numerical model for unsteady shallow water flow over initially dry areas is applied to a case study in a small drainage area at the Spanish Ebro River basin. Several flood mitigation measures (reforestation, construction of a small reservoir and channelization) are simulated in the model in order to compare different extreme rainfall-runoff scenarios
EmotIoT: an IoT system to improve users’ wellbeing
IoT provides applications and possibilities to improve people’s daily lives and business environments. However, most of these technologies have not been exploited in the field of emotions. With the amount of data that can be collected through IoT, emotions could be detected and anticipated. Since the study of related works indicates a lack of methodological approaches in designing IoT systems from the perspective of emotions and smart adaption rules, we introduce a methodology that can help design IoT systems quickly in this scenario, where the detection of users is valuable. In order to test the methodology presented, we apply the proposed stages to design an IoT smart recommender system named EmotIoT. The system allows anticipating and predicting future users’ emotions using parameters collected from IoT devices. It recommends new activities for the user in order to obtain a final state. Test results validate our recommender system as it has obtained more than 80% accuracy in predicting future user emotions
Affine convex body semigroups
In this paper we present a new kind of semigroups called convex body
semigroups which are generated by convex bodies of R^k. They generalize to
arbitrary dimension the concept of proportionally modular numerical semigroup
of [7]. Several properties of these semigroups are proven. Affine convex body
semigroups obtained from circles and polygons of R^2 are characterized. The
algorithms for computing minimal system of generators of these semigroups are
given. We provide the implementation of some of them
Head-mounted display-based application for cognitive training
Virtual Reality (VR) has had significant advances in rehabilitation, due to the gamification of cognitive activities that facilitate treatment. On the other hand, Immersive Virtual Reality (IVR) produces outstanding results due to the interactive features with the user. This work introduces a VR application for memory rehabilitation by walking through a maze and using the Oculus Go head-mounted display (HMD) technology. The mechanics of the game require memorizing geometric shapes while the player progresses in two modes, autonomous or manual, with two levels of difficulty depending on the number of elements to remember. The application is developed in the Unity 3D video game engine considering the optimization of computational resources to improve the performance in the processing and maintaining adequate benefits for the user, while the generated data is stored and sent to a remote server. The maze task was assessed with 29 subjects in a controlled environment. The obtained results show a significant correlation between participants’ response accuracy in both the maze task and a face–pair test. Thus, the proposed task is able to perform memory assessments
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