RF-Based Location Using Interpolation Functions to Reduce Fingerprint Mapping

Indoor RF-based localization using fingerprint mapping requires an initial training step, which represents a time consuming process. This location methodology needs a database conformed with RSSI (Radio Signal Strength Indicator) measures from the communication transceivers taken at specific locations within the localization area. But, the real world localization environment is dynamic and it is necessary to rebuild the fingerprint database when some environmental changes are made. This paper explores the use of different interpolation functions to complete the fingerprint mapping needed to achieve the sought accuracy, thereby reducing the effort in the training step. Also, different distributions of test maps and reference points have been evaluated, showing the validity of this proposal and necessary trade-offs. Results reported show that the same or similar localization accuracy can be achieved even when only 50% of the initial fingerprint reference points are taken

Simultaneous ranging and self-positioning in unsynchronized wireless acoustic sensor networks

Automatic ranging and self-positioning is a very desirable property in wireless acoustic sensor networks (WASNs) where nodes have at least one microphone and one loudspeaker. However, due to environmental noise, interference and multipath effects, audio-based ranging is a challenging task. This paper presents a fast ranging and positioning strategy that makes use of the correlation properties of pseudo-noise (PN) sequences for estimating simultaneously relative time-of-arrivals (TOAs) from multiple acoustic nodes. To this end, a proper test signal design adapted to the acoustic node transducers is proposed. In addition, a novel self-interference reduction method and a peak matching algorithm are introduced, allowing for increased accuracy in indoor environments. Synchronization issues are removed by following a BeepBeep strategy, providing range estimates that are converted to absolute node positions by means of multidimensional scaling (MDS). The proposed approach is evaluated both with simulated and real experiments under different acoustical conditions. The results using a real network of smartphones and laptops confirm the validity of the proposed approach, reaching an average ranging accuracy below 1 centimeter.This work was supported by the Spanish Ministry of Economy and Competitiveness under Grant TIN2015-70202-P, TEC2012-37945-C02-02 and FEDER funds

Spatio-Temporal Analysis of Urban Acoustic Environments with Binaural Psycho-Acoustical Considerations for IoT-based Applications

Sound pleasantness or annoyance perceived in urban soundscapes is a major concern in environmental acoustics. Binaural psychoacoustic parameters are helpful to describe generic acoustic environments, as it is stated within the ISO 12913 framework. In this paper, the application of a Wireless Acoustic Sensor Network (WASN) to evaluate the spatial distribution and the evolution of urban acoustic environments is described. Two experiments are presented using an indoor and an outdoor deployment of a WASN with several nodes using an Internet of Things (IoT) environment to collect audio data and calculate meaningful parameters such as the sound pressure level, binaural loudness and binaural sharpness. A chunk of audio is recorded in each node periodically with a microphone array and the binaural rendering is conducted by exploiting the estimated directional characteristics of the incoming sound by means of DOA estimation. Each node computes the parameters in a different location and sends the values to a cloud-based broker structure that allows spatial statistical analysis through Kriging techniques. A cross-validation analysis is also performed to confirm the usefulness of the proposed system.Ingeniería, Industria y Construcció

Experimental trade-offs between different strategies for multihop communications evaluated over real deployments of wireless sensor network for environmental monitoring

Although much work has been done since wireless sensor networks appeared, there is not a great deal of information available on real deployments that incorporate basic features associated with these networks, in particular multihop routing and long lifetimes features. In this article, an environmental monitoring application (Internet of Things oriented) is described, where temperature and relative humidity samples are taken by each mote at a rate of 2 samples/min and sent to a sink using multihop routing. Our goal is to analyse the different strategies to gather the information from the different motes in this context. The trade-offs between 'sending always' and 'buffering locally' approaches were analysed and validated experimentally, taking into account power consumption, lifetime, efficiency and reliability. When buffering locally, different options were considered such as saving in either local RAM or FLASH memory, as well different alternatives to reduce overhead with different packet sizes. The conclusion is that in terms of energy and durability, the best option is to reduce the overhead. Nevertheless, sending larger packets is not worthy when the probability of retransmission is high. If real-time monitoring is required, then sending always is better than buffering locally

Factors related to the development of health-promoting community activities in Spanish primary healthcare: two case-control studies.

Objective Spanish primary healthcare teams have the responsibility of performing health-promoting community activities (CAs), although such activities are not widespread. Our aim was to identify the factors related to participation in those activities. Design Two case–control studies. setting Performed in primary care of ve Spanish regions. subjects In the rst study, cases were teams that performed health-promoting CAs and controls were those that did not. In the second study (on case teams from the rst study), cases were professionals who developed these activities and controls were those who did not. Main outcome measures Team, professional and community characteristics collected through questionnaires (team managers/professionals) and from secondary sources. results The rst study examined 203 teams (103 cases, 100 controls). Adjusted factors associated with performing CAs were percentage of nurses (OR 1.07, 95% CI 1.01 to 1.14), community socioeconomic status (higher vs lower OR 2.16, 95% CI 1.18 to 3.95) and performing undergraduate training (OR 0.44, 95% CI 0.21 to 0.93). In the second study, 597 professionals responded (254 cases, 343 controls). Adjusted factors were professional classi cation (physicians do fewer activities than nurses and social workers do more), training in CAs (OR 1.9, 95% CI 1.2 to 3.1), team support (OR 2.9, 95% CI 1.5 to 5.7), seniority (OR 1.06, 95% CI 1.03 to 1.09), nursing tutor (OR 2.0, 95% CI 1.1 to 3.5), motivation (OR 3.7, 95% CI 1.8 to 7.5), collaboration with non-governmental organisations (OR 1.9, 95% CI 1.2 to 3.1) and participation in neighbourhood activities (OR 3.1, 95% CI 1.9 to 5.1). Conclusions Professional personal characteristics, such as social sensitivity, profession, to feel team support or motivation, have in uence in performing health-promoting CAs. In contrast to the opinion expressed by many professionals, workload is not related to performance of health-promoting CAs

Izaña Atmospheric Research Center. Activity Report 2019-2020

Editors: Emilio Cuevas, Celia Milford and Oksana Tarasova.[EN]The Izaña Atmospheric Research Center (IARC), which is part of the State Meteorological Agency of Spain (AEMET), is a site of excellence in atmospheric science. It manages four observatories in Tenerife including the high altitude Izaña Atmospheric Observatory. The Izaña Atmospheric Observatory was inaugurated in 1916 and since that date has carried out uninterrupted meteorological and climatological observations, contributing towards a unique 100-year record in 2016. This reports are a summary of the many activities at the Izaña Atmospheric Research Center to the broader community. The combination of operational activities, research and development in state-of-the-art measurement techniques, calibration and validation and international cooperation encompass the vision of WMO to provide world leadership in expertise and international cooperation in weather, climate, hydrology and related environmental issues.[ES]El Centro de Investigación Atmosférica de Izaña (CIAI), que forma parte de la Agencia Estatal de Meteorología de España (AEMET), representa un centro de excelencia en ciencias atmosféricas. Gestiona cuatro observatorios en Tenerife, incluido el Observatorio de Izaña de gran altitud, inaugurado en 1916 y que desde entonces ha realizado observaciones meteorológicas y climatológicas ininterrumpidas y se ha convertido en una estación centenaria de la OMM. Estos informes resumen las múltiples actividades llevadas a cabo por el Centro de Investigación Atmosférica de Izaña. El liderazgo del Centro en materia de investigación y desarrollo con respecto a las técnicas de medición, calibración y validación de última generación, así como la cooperación internacional, le han otorgado una reputación sobresaliente en lo que se refiere al tiempo, el clima, la hidrología y otros temas ambientales afines

Izaña Atmospheric Research Center. Activity Report 2015-2016

This report is a summary of the many activities at the Izaña Atmospheric Research Center to the broader community. The combination of operational activities, research and development in state-of-the-art measurement techniques, calibration and validation and international cooperation encompass the vision of WMO to provide world leadership in expertise and international cooperation in weather, climate, hydrology and related environmental issues

Clima, variabilidad y cambio climático en la Vertiente Caribe de Costa Rica: Un estudio básico para la actividad bananera

informe de investigación -- Universidad de Costa Rica. Centro de Investigaciones Geofísicas, 2013. Forma de citar el trabajo: Amador, J. A., E. J. Alfaro, H. G. Hidalgo, F. J. Soley, F. Solano, J. L. Vargas, F. Sáenz, B. Calderón, P. M. Pérez, J. J. Vargas, R. Díaz, A. Goebel, A. Montero, J. L. Rodríguez, A. Salazar, P. Ureña, N. Mora, I. Rivera, C. Vega y C. Bojorge, 2013. Clima, variabilidad y cambio climático en la Vertiente Caribe de Costa Rica: Un estudio básico para la actividad bananera. Informe Final del Proyecto VI-805-B0-402. Centro de Investigaciones Geofísicas (CIGEFI), Vicerrectoría de Investigación y Escuela de Física, Universidad de Costa Rica y Corporación Bananera Nacional (CORBANA), Setiembre 2013, 225 pp.Este Informe Final (IF) describe en forma sintética, los alcances y productos del proyecto “Clima, variabilidad y cambio climático en la Vertiente Caribe de Costa Rica: Un estudio básico para la actividad bananera”, en relación con el cumplimiento, por parte del Centro de Investigaciones Geofísicas (CIGEFI) de la Universidad de Costa Rica (UCR), de las Especificaciones y Requisitos Técnicos (ERT) de la investigación contratada con la Corporación Bananera Nacional (CORBANA). Los ERT de CORBANA (ERTC) están contenidos en la Parte 7 de la Propuesta Original entregada a la Corporación en octubre de 2010. Los detalles de los productos son discutidos en las diferentes secciones del IF. En este sentido, se examinaron la Estructura y Funcionalidad de la Base de Datos (BANACLIMA) y la Red de Estaciones de la Corporación. Se destaca, entre otras cosas, la implementación, en colaboración con CORBANA, de una torre de observación meteorológica en Siquirres (CIGEFI_et) con instrumental de precipitación, temperatura, viento y humedad, instalado a 10, 20 y 30 m de altura, con complemento de presión, temperatura y humedad (del suelo) en superficie. Se generaron y entregaron, tanto en formato JPEG o similar y en un Sistema de Información Geográfica (SIG) productos de climatología regional derivados de la información de BANACLIMA y de bases de datos regionales. Los productos entregados en el SIG facilitan el uso aplicado de la información. Este proceso contempló la familiarización de personal con los productos generados y no formaba parte de los ERTC. Se entregan clasificaciones climáticas basadas en los métodos de Thornthwaite y Hargreaves, con amplias discusiones sobre su aplicación y limitaciones. Las climatologías generadas con base al modelo MM5 incluyen aspectos de variabilidad que toma en cuenta los modos globales de El Niño Oscilación del Sur (ENOS), la Oscilación Multidecadal del Atlántico (OMDA), ambos basados en índices de la temperatura superficial del océano como predictor de la variabilidad atmosférica regional. Se analizaron datos atmosféricos regionales para obtener indicativos del cambio climático observado para varias variables troposféricas, entre ellas temperatura superficial y precipitación. Un tema investigado en este proyecto y no contemplado tampoco en las ERTC, es la inclusión de algunas proyecciones futuras sobre el cambio climático en la región de interés, basado en resultados de modelos de circulación general (conocidos como 20c3m runs) para el Informe de 2010 del Panel Inter-Gubernamental para el Cambio Climático. Otro aspecto, no contemplado en las ERTC, es la recolección de importantes datos históricos sobre meteorología y el desarrollo institucional de la Corporación. Sobre este tema, el CIGEFI espera continuar investigando por su parte y de darse las condiciones de acceso requeridas, dotar en un futuro a CORBANA de un documento más completo sobre su historia y el desarrollo en la actividad bananera nacional. Personal de CORBANA participó en Mini-congresos, talleres y presentaciones del CIGEFI en relación con los temas e investigaciones realizadas para el proyecto. Personal del Centro participó en Congresos Bananeros, talleres y seminarios dando a conocer los resultados del proyecto con CORBANA. Un importante grupo de artículos han sido publicados, otros están en proceso, todos ellos mostrando los productos y resultados de la investigación. Con respecto a los diferentes aspectos que tiene que ver con las ERTC, se incorporaron recomendaciones específicas, en el Informe Primero (IP), de setiembre de 2011, en el Informe Segundo (IS), de mayo de 2012 y en el presente IF. En este IF se incorporan figuras o tablas que aparecen en el IP o en el IS, sin embargo, éstas fueron, en general, mejoradas tanto por el uso de información complementaria, cambio o mejoramiento del método de trabajo o para incorporar un periodo más extenso de datos.Corporación Bananera Nacional (CORBANA). Universidad de Costa Rica (UCR).UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones Geofísicas (CIGEFI

Monitoring of the Greenhouse Gases Concentrations in Madrid (MEGEI-MAD)

Ponencia presentada en: XVIII Congreso de la Asociación Española de Teledetección celebrado en Valladolid del 24 al 27 septiembre 2019.[ES]Las áreas urbanas concentran actualmente el 50% de las emisiones globales de Gases de Efecto Invernadero (GEIs). Este porcentaje está aumentando, ya que la población mundial cada vez más se concentra en las áreas urbanas, y se estima que pase del 50% hoy en día al 70% en 2050. Consecuentemente, las medidas de las emisiones urbanas de GEIs, a escalas temporales y espaciales pequeñas, son cruciales para diseñar políticas efectivas de control y mitigación de los GEIs. En este contexto, este trabajo presenta el proyecto MEGEI-MAD (Medida de las Concentraciones de Gases de Efecto Invernadero en Madrid), que es la primera iniciativa española para la monitorización de las emisiones de GEIs en ambientes urbanos. En particular, MEGEI-MAD tiene como objetivo la caracterización completa de las emisiones urbanas de dióxido de carbono (CO2) y metano (CH4), en Madrid, la ciudad más densamente poblada de España. Este objetivo central fue abordado con una campaña de medidas llevada a cabo entre el 16 de Septiembre y el 9 de Octubre de 2018 en la zona metropolitana de Madrid, donde las observaciones de CO2 y CH4 en la columna total atmosférica fueron medidas simultáneamente con observaciones in situ a nivel de superficie.[EN]Urban areas currently contribute over 50% of the global emissions of Greenhouse Gases (GHGs). This percentage is growing since worldwide population is increasingly concentrating in the urban areas, going from over 50% nowadays to 70% by 2050. Consequently, monitoring urban GHGs emissions at small temporal and spatial scales is crucial to design effective GHGs control and mitigation policies. In this context, this work gives an overview of the Project MEGEI-MAD (Monitoring of the Greenhouse Gases Concentrations in Madrid), which is the first Spanish initiative to monitor GHGs emissions in urban environments. Particularly, MEGEI-MAD aims to comprehensively characterize the urban emissions of carbon dioxide (CO2) and methane (CH4) of Madrid, the highest population density city in Spain. This core objective was reached by a field campaign carried out between 16th September-9th October 2018 in the Madrid Metropolitan area, where CO2 and CH4 total column amounts observations have been measured simultaneously with ground-level records