Non-Invasive Ambient Intelligence in Real Life: Dealing with Noisy Patterns to Help Older People

This paper aims to contribute to the field of ambient intelligence from the perspective of real environments, where noise levels in datasets are significant, by showing how machine learning techniques can contribute to the knowledge creation, by promoting software sensors. The created knowledge can be actionable to develop features helping to deal with problems related to minimally labelled datasets. A case study is presented and analysed, looking to infer high-level rules, which can help to anticipate abnormal activities, and potential benefits of the integration of these technologies are discussed in this context. The contribution also aims to analyse the usage of the models for the transfer of knowledge when different sensors with different settings contribute to the noise levels. Finally, based on the authors’ experience, a framework proposal for creating valuable and aggregated knowledge is depicted.This research was partially funded by Fundación Tecnalia Research & Innovation, and J.O.-M. also wants to recognise the support obtained from the EU RFCS program through project number 793505 ‘4.0 Lean system integrating workers and processes (WISEST)’ and from the grant PRX18/00036 given by the Spanish Secretaría de Estado de Universidades, Investigación, Desarrollo e Innovación del Ministerio de Ciencia, Innovación y Universidades

Epoxidación de aceites vegetales no comestibles

Tesis inédita de la Universidad Complutense de Madrid, Facultad de Ciencias Químicas, leída en 1978.ProQuestFac. de Ciencias QuímicasTRUEpu

An IoT−based system that aids learning from human behavior: A potential application for the care of the elderly

The goal of this paper is to describe the way of taking advantage of the non-intrusive indoor air quality monitoring system by using data oriented modeling technologies to determine specific human behaviors. The specific goal is to determine when a human presence occurs in a specific room, while the objective is to extend the use of the existing indoor air quality monitoring system to provide a higher level aspect of the house usage. Different models have been trained by means of machine learning algorithms using the available temperature, relative humidity and CO2 levels to determine binary occupation. The paper will discuss the overall acceptable quality provided by those classifiers when operating over new data not previously seen. Therefore, a recommendation on how to proceed is provided, as well as the confidence level regarding the new created knowledge. Such knowledge could bring additional opportunities in the care of the elderly for specific diseases that are usually accompanied by changes in patterns of behavior

Estudio de un corpus de artículos científicos en economía usando técnicas de minería de datos

Este trabajo se centra en la recopilación, transformación y explotación de un corpus de artículos científicos de gran tamaño en el ámbito de la economía. El corpus objeto de estudio se denomina RePEC (Research Papers in Economics). Este conjunto de datos aglutina artículos de trabajo, prepublicaciones, artículos de revistas académicas y componentes de software dentro del ámbito de la investigación en economía

Automatic detection to inventory road slopes using open LiDAR point clouds

The transport infrastructure of a country facilitates the development and growth of its economy and improves the quality of life of its inhabitants. Increasing its resilience to different types of risks to improve performance is becoming more important. In the current context of climate change, natural hazards are more severe and frequent. In this article, we focus on rockfall as a natural hazard for roads that occurs in small areas in the vicinity of natural or cut slopes, causing road safety problems by invading part of the road. This article aims to inventory the slopes along the road, identifying the area of the road which would be invaded in case of a rockfall. A methodology divided into two blocks is proposed. First, for slope detection and inventory, an algorithm is developed based on open LiDAR point clouds analysis. The second block consists of estimating the invaded road area if a rockfall occurs on each of the inventoried slopes, using a combination of RockGIS software and the Monte Carlo method. The methodology was applied in five case studies: three sections on motorways and two sections on national roads. The results obtained for slope detection show higher rates in the case studies analyzing motorways, with a precision of 100%, a recovery rate of greater than 93.4%, and an F1 score of greater than 0.96. The results in the invaded area of the road show that 11 slopes would cause a total cut of the motorway in one of the directions if a rockfall occurs. These results are useful for infrastructure managers to remotely obtain an inventory of road slopes and know which of them would affect road safety. Also, the results can serve as input for the Intelligent Transportation System and allow the exchange of information under the Building Information Model approach.Ministerio de Ciencia, Innovación y Universidades | Ref. PID2019-108816RB-I00Ministerio de Ciencia, Innovación y Universidades | Ref. PRE2020-096222European Commission | Ref. H2020, n. 95533

Comparing Mobile and Aerial Laser Scanner point cloud data sets for automating the detection and delimitation procedure of safety-critical near-road slopes

An inappropriately maintained road cut-slope is likely to fail, resulting in landslides or falling rocks that compromise road safety. Thus, road managers need to know the location of dangerous slopes along the road in order to prevent these events from happening. In this article, we compare two different approaches for conducting the digitization of the road environment and the automatic detection and delimitation of road slopes: Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS). The point clouds obtained using the first kind of devices are dense, rich in detail and generated from a ground perspective; the second type of scanners produce less dense clouds from a zenithal perspective. We explore what is the effect of the point cloud density and scanner point of view over the slope detection procedure. Two road segments from the Spanish A55 and A52 highways were used as study zones, and a total of 28.61 km were analyzed. Better detection and delimitation results were achieved when using the ALS data and its corresponding algorithm. It was observed that the higher point density and detail of the MLS clouds were not an advantage for the slope detection task, and that measuring the road from a terrestrial perspective affected in a negative way during the detection process: the crest of the slopes often remained unmeasured, hidden behind vegetation or man-made elements, thus resulting in the slopes not being complete in the MLS clouds. Meanwhile, the whole slope structure is scanned when the scene is measured from an aerial perspective, henceforth obtaining better detection rates despite the relatively low resolution. The findings of this study provide valuable information in the field of road asset management, and help road managers make decisions when choosing what technology to use for the data gathering process.Agencia Estatal de Investigación | Ref. PID2022-140662OB-I00Universidade de Vigo/CISU

De la confederación de príncipes y de la guerra y de los guerreros

Incluye reprod. facs. del original latino de la Biblioteca Colombina de SevillaCopia digital. Valladolid : Junta de Castilla y León. Consejería de Cultura y Turismo, 201

La puesta en práctica del aprendizaje colaborativo ludificado en la formación profesional

El presente trabajo muestra una memoria original e integradora de dos trabajos realizados en el máster, donde se integran conocimientos adquiridos a través de las distintas asignaturas cursadas durante el máster, así como las intervenciones llevadas a cabo durante el prácticum II. Se muestra como punto fundamental una reflexión crítica en el máster en profesorado a través de la puesta en práctica en el aula del aprendizaje colaborativo y la ludificación, como metodologías activas de enseñanza aprendizaje y culmina con un apartado de conclusiones y propuestas de futuro.<br /

Using Internet Protocols to Implement IEC 60870-5 Telecontrol Functions

The telecommunication networks of telecontrol systems in electric utilities have undergone an innovation process. This has removed many of their technical restrictions and made it possible to consider carrying out telecontrol tasks with general standard protocols instead of the specific ones that are used currently. These are defined in the standards 60870-5, 60870-6, and 61850 from the International Electrotechnical Commission, among others. This paper is about the implementation, using the services of general standard protocols, of the telecontrol application functions defined by the standard IEC 60870-5-104. The general protocols used to carry out telecontrol tasks are those used in the Internet: the telecommunication network-management protocol SNMPv3 (simple network management protocol version 3), the clock synchronization protocol network time protocol and Secure SHell. With this new implementation, we have achieved, among others, two important aims: 1) to improve performance and, above all, 2) to solve the serious security problems present in the telecontrol protocols currently being used. These problems were presented by IEEE in an article published in the website of the IEEE Standards Association. In this paper, the use of general standard protocols to perform the telecontrol of electrical networks is justified. The development of this paper—its achievements and conclusions and the tools used—is detailed.Junta de Andalucía EXC-2005-TIC-1023Ministerio de Educación y Ciencia TEC2006-0843

There is more to the picture than meets the eye: adaptation for crypsis blurs phylogeographical structure in a lizard

Aim: We examined dorsal coloration in and genetic relationships among Iberian populations of the lizard Psammodromus algirus to determine the extent to which the current distribution of phenotypic variation is correlated with phylogeographical history or local environmental conditions. Location: Iberian Peninsula, western Palaearctic.Methods: We sequenced mitochondrial DNA (ND4 and adjacent tRNAs genes) in 36 populations, and seven microsatellite loci in eight representative populations. In 23 populations, lizards were classified according to the presence and intensity of a dorsal striped pattern, the heritability of which was estimated by means of mother–offspring regressions. To determine whether colour pattern is an adaptation for crypsis, we compared the time taken by humans to detect striped and unstriped lizards in different environments.Results: The analysis of mtDNA revealed an ancient split between a western clade, subdivided into south- and north-western haplogroups, and an eastern clade with central, south-eastern and eastern haplogroups. In contrast, nuclear markers showed a post-glacial admixture of central and western haplogroups, with the central haplogroup apparently isolated from the rest of its clade. This was consistent with variation in the dorsal striped pattern, a heritable phenotypic trait: central and western lizards were unstriped, whereas eastern lizards were striped. We then suggest that dorsal coloration promotes crypsis: in eastern locations detection times were longer for striped than for unstriped lizards, whereas the opposite was true in western and central locations.Main conclusions: Our results indicate that natural selection for crypsis may promote not only divergence within clades, as suggested by the apparent isolation between unstriped central lizards and striped members of eastern haplogroups, but also admixture between them. We conclude that ecologically driven selection is crucial for understanding the phylogeographical background of phenotypic variation, because recent adaptation to the environment can blur the effects of ancestral isolation.This study is a contribution to projects CGL2010-17928/BOS and CGL2013-41642-P, funded by the Spanish Ministry of Education and SciencePeer reviewe