Search results for "Formas"
showing 10 items of 979 documents
Algunas microestructuras presentes en las costras calcareas del piedemonte de betera (provincia de valencia)
1988
Las formaciones aluviales que constituyen el piedemonte de betera, situado al norte de la provincia de valencia, presentan a techo de sus secuencias sedimentarias importantes acumulaciones carbonatadas. Las diferentes muestras que se han analizado desde un punto de vista micromorfologico, pertenecientes a las cinco macrofacies descritas en los perfiles seleccionados, permiten reconocer gran variedad de microestructuras. De todas ellas aqui se detallan las que aparecen con mayor frecuencia, tales como laminaciones, oolitica-pisolitica, grietas de retraccion y estructura de raices. Estas microestructuras sugieren condiciones subaereas en la genesis de las costras. (a)
Scenario-based Serious Game to Teach about Healthcare
2019
Author's accepted manuscript (postprint). © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Available from 29/10/2021. In this paper, we explore the concept of a scenario-based serious game for healthcare solutions. The complexity of the interactions and the multitude of actors is captured in a scenario, which is then played with the help of an additional game pl…
Análisis de plataformas digitales y competencias del profesorado en entornos virtuales
2018
Las tecnologías digitales han entrado en la escuela y en la universidad de forma imparable y el profesorado ha de afrontar el reto de responder a las necesidades educativas y al contexto de la sociedad del siglo XXI. Para ello, hemos de alcanzar las competencias necesarias para trabajar en entornos virtuales y también facilitar espacios de reflexión donde sea posible la construcción del conocimiento de forma cooperativa. A través del instrumento-guía para el análisis de las plataformas y/o portales web del grupo CRIE de la Universidad de Valencia, examinamos dos plataformas virtuales, para recalar en el tema de las competencias que ha de dominar el profesorado y el modelo de enseñanza que s…
Pasakas 4-5 gadīgu bērnu matemātisko prasmju apguves veicināšanai pirmsskolā
2021
Darba autors: Liana Segliņa. Bakalaura darba temats: „Pasakas 4-5 gadīgu bērnu matemātisko prasmju apguves veicināšanai pirmsskolā”. Darba mērķis: pētīt un analizēt 4-5 gadīgu bērnu matemātisko prasmju apguvi ar pasakas palīdzību. Darbs teorētiskajā daļā, analizējot I. Helmanes, I. Žoglas, R. Garleja, I. Kangro un citu latviešu un ārzemju psihologu un pedagogu darbus, izpētīts prasmju un matemātisko prasmju jēdziens un to apgūšanas metodes pirmsskolā. Raksturota pasaku būtība, kā arī analizētas to izmantošanas iespējas pirmsskolas vecuma bērnu matemātisko prasmju veidošanas procesā. Darba empīriskajā daļā veikta 4 – 5 gadīgo bērnu novērošana un pārrunas ar viņiem, kā arī novērtēts viņu sāko…
Las nuevas formas de movilidad de la población, la especificidad de la familia italiana y la explosión del coronavirus en Lombardía
2021
Deep Learning for Classifying Physical Activities from Accelerometer Data
2021
Physical inactivity increases the risk of many adverse health conditions, including the world’s major non-communicable diseases, such as coronary heart disease, type 2 diabetes, and breast and colon cancers, shortening life expectancy. There are minimal medical care and personal trainers’ methods to monitor a patient’s actual physical activity types. To improve activity monitoring, we propose an artificial-intelligence-based approach to classify the physical movement activity patterns. In more detail, we employ two deep learning (DL) methods, namely a deep feed-forward neural network (DNN) and a deep recurrent neural network (RNN) for this purpose. We evaluate the proposed models on two phy…
Secure and scalable dataprocessing and communications for an Animal Tracking System
2003
Masteroppgave i informasjons- og kommunikasjonsteknologi 2003 - Høgskolen i Agder, Grimstad Modern technology is constantly being employed in new fields, by new industries and people. The cost of advanced technological equipment decreases continously, and equipment that was reserved for people and corporations with a lot of money has now become household products. This enables many interesting ideas and projects, Kitron Development’s radiocollar project being one of them. Kitron Development is involved in a project to track the position of animals by substituting the traditional bell collar with a collar that contains a GPS receiver. The collar transmits its position to a base station using…
A Trajectory-Driven 3D Non-Stationary mm-Wave MIMO Channel Model for a Single Moving Point Scatterer
2021
This paper proposes a new non-stationary three-dimensional (3D) channel model for a physical millimeter wave (mm-Wave) multiple-input multiple-output (MIMO) channel. This MIMO channel model is driven by the trajectory of a moving point scatterer, which allows us to investigate the impact of a single moving point scatterer on the propagation characteristics in an indoor environment. Starting from the time-variant (TV) channel transfer function, the temporal behavior of the proposed non-stationary channel model has been analyzed by studying the TV micro-Doppler characteristics and the TV mean Doppler shift. The proposed channel model has been validated by measurements performed in an indoor e…
A Machine Learning Approach for Fall Detection and Daily Living Activity Recognition
2019
The number of older people in western countries is constantly increasing. Most of them prefer to live independently and are susceptible to fall incidents. Falls often lead to serious or even fatal injuries which are the leading cause of death for elderlies. To address this problem, it is essential to develop robust fall detection systems. In this context, we develop a machine learning framework for fall detection and daily living activity recognition. We use acceleration and angular velocity data from two public databases to recognize seven different activities, including falls and activities of daily living. From the acceleration and angular velocity data, we extract time- and frequency-do…
WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities
2020
Robust and accurate human activity recognition (HAR) systems are essential to many human-centric services within active assisted living and healthcare facilities. Traditional HAR systems mostly leverage a single sensing modality (e.g., either wearable, vision, or radio frequency sensing) combined with machine learning techniques to recognize human activities. Such unimodal HAR systems do not cope well with real-time changes in the environment. To overcome this limitation, new HAR systems that incorporate multiple sensing modalities are needed. Multiple diverse sensors can provide more accurate and complete information resulting in better recognition of the performed activities. This article…