Open University of Catalonia

About: Open University of Catalonia is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Context (language use) & Higher education. The organization has 1943 authors who have published 4646 publications receiving 64200 citations. The organization is also known as: Universitat Oberta de Catalunya & UOC.

Portfolio electrónico: desarrollo de competencias profesionales en la Red

Abstract: L'article exposa el sentit i les caracteristiques d'un portfolio electronic aplicat en un context universitari d'ensenyament en linia. El portfolio que es presenta posa l'emfasi en el seguiment dels treballs dels estudiants a partir del progres continuat de les competencies professionals que s'han desenvolupat al llarg dels Estudis de Psicopedagogia i que es resumeixen en la seva assignatura de Practicum. L'avenc de les competencies s'exposa mitjancant la publicacio d'evidencies d'assoliment que documenten el nivell de progres de les competencies esmentades. El portfolio electronic que es planteja es de caracter individual i esta sostingut per un mecanisme de suport per part del professor per mitja del qual aporta retroalimentacio continuada als estudiants, la qual cosa els facilita l'ajustament de les seves actuacions a les competencies professionals plantejades.

Constructive Interference in 802.15.4: A Tutorial

Abstract: Constructive interference (CI) can happen when multiple wireless devices send the same frame at the same time. If the time offset between the transmissions is less than 500 ns, a receiver will successfully decode the frame with high probability. CI can be useful for achieving low-latency communication or low-overhead flooding in a multi-hop low-power wireless network. The contribution of this paper is threefold. First, we present the current state-of-the-art CI-based protocols. Second, we provide a detailed hands-on tutorial on how to implement CI-based protocols on TelosB motes, with well documented open-source code. Third, we discuss the issues and challenges of CI-based protocols, and list open issues and research directions. This paper is targeted at the level of practicing engineers and advanced researchers and can serve both as a primer on CI technology and a reference to its implementation.

Hábitos alimentarios y conductas relacionadas con la salud en una población universitaria

Abstract: Introduccion: La poblacion universitaria se considera un colectivo especialmente vulnerable desde el punto de vista nutricional ya que comienza a responsabilizarse de su alimentacion y atraviesa un periodo critico en la consolidacion de habitos y conductas alimentarias. Estudios previos ponen en evidencia el alejamiento de patrones alimentarios saludables y la necesidad de desarrollar acciones de educacion e intervencion nutricional. Objetivos: Analizar habitos y conductas relacionadas con la alimentacion en una poblacion universitaria en Cataluna como punto de partida para desarrollar estrategias efectivas en la promocion de la salud. Metodologia: Estudio observacional transversal descriptivo de habitos alimentarios y conductas relacionadas con la alimentacion (consumo de alcohol, tabaco y actividad fisica) en estudiantes universitarios de Cataluna. Resultados: La comida y la cena en casa resultaron las comidas imprescindibles de los estudiantes encuestados mientras el desayuno y la merienda se omitian aproximadamente en un 20% de los casos. El patron dietetico obtenido se caracterizo por un consumo excesivo de carnes rojas (84%) y un consumo deficiente o muy deficiente de verduras (39,8%), cereales (92,6%) y frutas (73,9%). El consumo de alcohol en general resulto escaso, siendo la cerveza la bebida mas consumida y la mayor parte afirmaron tambien no ser fumadores habituales. Entre los fumadores habituales predominaron las mujeres. Un numero considerable de estudiantes acostumbraban a realizar actividad fisica moderada o intensa tres o mas veces a la semana, a pesar de que una proporcion similar no suele realizar ningun tipo de actividad fisica de manera habitual. Discusion y conclusiones: En la poblacion estudiada se detectan conductas alimentarias que se alejan de las recomendaciones de la Dieta Mediterranea: un escaso consumo de frutas y verduras, un aumento en el consumo de productos lacteos y un predominio en el consumo de carnes rojas frente a las carnes blancas, en un elevado numero de estudiantes, en linea con los cambios ocurridos en los ultimos anos tanto en Espana como en el resto de los paises industrializados.

Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition

Abstract: Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoor positioning and navigation purposes. Through fair comparison of the performance achieved by each system, the competition was able to identify the most promising approaches and to pinpoint the most critical working conditions. In 2020, the competition included 5 diverse off-site off-site Tracks, each resembling real use cases and challenges for indoor positioning. The results in terms of participation and accuracy of the proposed systems have been encouraging. The best performing competitors obtained a third quartile of error of 1m for the Smartphone Track and 0.5m for the Footmounted IMU Track. While not running on physical systems, but only as algorithms, these results represent impressive achievements.

An LSTM-Based Neural Network Architecture for Model Transformations

Abstract: Model transformations are a key element in any model-driven engineering approach. But writing them is a time-consuming and error-prone activity that requires specific knowledge of the transformation language semantics. We propose to take advantage of the advances in Artificial Intelligence and, in particular Long Short-Term Memory Neural Networks (LSTM), to automatically infer model transformations from sets of input-output model pairs. Once the transformation mappings have been learned, the LSTM system is able to autonomously transform new input models into their corresponding output models without the need of writing any transformation-specific code. We evaluate the correctness and performance of our approach and discuss its advantages and limitations.