Sebastián Villarroya

University of Santiago de Compostela | USC · Department of Computers and Electronics

Electrical Impedance Tomography (EIT) is a non-invasive technique used to obtain the electrical internal conductivity distribution from the interior of bodies. This is a promising method from the manufacturing viewpoint, since it could be used to estimate different physical inner body properties during the production of goods. Nevertheless, this te...

This paper provides an in-depth survey on the integration of machine learning and array databases. First,machine learning support in modern database management systems is introduced. From straightforward implementations of linear algebra operations in SQL to machine learning capabilities of specialized database managers designed to process specific...

Both the increasing number of GPS-enabled mobile devices and the geographic crowd-sourcing initiatives, such as Open Street Map, are determinants for the large amount of vector spatial data that is currently being produced. On the other hand, the automatic generation of raster data by remote sensing devices and environmental modeling processes was...

Machine Learning is increasingly being applied to many different application domains. From cancer detection to weather forecast, a large number of different applications leverage machine learning algorithms to get faster and more accurate results over huge datasets. Although many of these datasets are mainly composed of array data, a vast majority...

The monitoring and forecasting of environmental conditions is a task to which much effort and resources are devoted by the scientific community and relevant authorities. Representative examples arise in meteorology, oceanography, and environmental engineering. As a consequence, high volumes of data are generated, which include data generated by ear...

A myriad of data acquisition devices is observing every day more variables and generating a vast amount of data in almost every application domain. Environmental observation data is an essential portion of such generated data, whose spatio-temporal nature has posed interesting challenges in the area of Environmental Observation Data Management Syst...

En este artículo se proporciona un descripción breve de los primeros pasos hacia la implementación de un sistema de procesamiento anal��ítico en línea paralelo que integre datos de entidades espaciales y grandes arrays resultado de procesos de muestreo temporal, espacial y espacio-temporal. Estos tipos de dato son fundamentales en aplicaciones de a...

Currently available environmental datasets are either manually constructed by professionals orautomatically generated from the observations provided by sensing devices. Usually, the former aremodelled and recorded with traditional general-purpose relational technologies, whereas the latterrequire more specific scientific array formats and tools. De...

The sensorization of virtual tv sets using motion capture systems allows the automation of many of the processes implied in the live broadcast of a tv show. It facilitates the tasks of both the actor (allowing him to interact with the environment) and the technicians (camera position and orientation, real objects position, etc.). Adding new sensors...

Estudios recientes han demostrado que el uso combinado de contenidos de televisión con aplicaciones en dispositivos móviles logran un aumento de audiencia. Relacionado con esto, el estándar para televisión híbrida HbbTV (Hybrid Broadcast Broadband TV) combina la emisión de contenidos de audio y vídeo (A/V) con aplicaciones que llegan al televisor d...

Varios estudios recientes han detectado nuevos hábitos en la audiencia de televisión relacionados con el acceso a través de otros dispositivos a información que complemente los contenidos de televisión. En este documento se describe una solución preliminar para la generación de contextos geográficos para programas de noticias en lengua castellana y...

Very large amounts of geospatial data are daily generated by many observation processes in different application domains. The amount of produced data is increasing due to the advances in the use of modern automatic sensing devices and also in the facilities available to promote crowdsourcing data collection initiatives. Spatial observation data inc...

Ambient Intelligence environments involve a wide range of different devices typically associated to protocols not compatible with each other. This is probably one of the possible problems to reach the full explosion of the internet of things because of the lack of standards for sensor data exchanging. This paper proposes a solution for the exchange...

This paper describes a conceptual solution for heterogeneous sensor data integration in crowdsensing applications and one experimental implementation for a health monitoring system in an educational environment using low cost hardware solution. Three kinds of protocols are integrated in this solution: HL7 for medical data, Observations & Measuremen...

The integrated management of entities and coverages is still an issue for current technologies in the area of GIS. Current tools provide interfaces with many operations for vector and raster analysis, which are not easy to combine. Defining new operations always requires programming. General purpose DBMSs are extended with geometric primitives for...

The homogeneous access to sensor data in data monitoring and analysis applications is gaining much interest nowadays. To tackle this problem from an application independent perspective, the design and implementation of a framework called GeoDADIS for the development of data acquisition and dissemination servers is discussed in the present paper. Th...

The amount of time evolving spatial data that is currently being generated by automatic observation processes is huge. In general, observation data consists of both heterogeneous spatio-temporal data and relevant observation metadata. The former includes data of Spatial Entities (cities, roads, vehicles, etc.) and data of temporal evolution of both...

En este artículo se describe de forma muy breve un nuevo lenguaje para análisis de datos espacio-temporales. El lenguaje se basa en un modelo de datos funcional cuya estructura de datos (llamada MappingSet) almacena conjuntos de funciones con dominios idénticos. La sintaxis XML del lenguaje combina el cálculo relacional en la especificación de los...

En este artículo proponemos el diseño e implementación de un framework para el desarrollo de servidores de adquisición y publicación de datos llamado DADIS. La estructura de DADIS está dividida en tres capas: i) una capa inferior de adquisición de datos que se encarga de la comunicación con los diferentes sensores, ii) una capa intermedia que const...

En este trabajo se presenta una solución inicial para la integración de fuentes de datos de observación en aplicaciones de tipo medioambiental. La solución se basa en la utilización de una arquitectura típica mediador/wrapper combinada con modelos de datos e interfaces estándar de definidos en la iniciativa Sensor Web Enablement (SWE) del Open Geos...

Las grandes catástrofes naturales que se producen a raíz de graves accidentes de petroleros o plataformas petrolíferas son investigadas, analizadas e incluso juzgadas, pero existe otro problema que puede parecer menor y que a menudo queda en el anonimato. Cada día se producen vertidos ilegales por la limpieza de las sentinas de los buques en alta m...

This paper presents a system to improve decision support to prevent the ice formation or snow accumulation on the road surface (anti-icing). The main part of the system has the task of predicting the weather parameters [1] involved in the problem. To do that, the system uses data-mining techniques for the prediction process and uses a multi-agent s...

One of the pillars that holds up the stability and economic development of our society is the need to ensure a reliable and affordable supply of energy that meets our current energy needs. The high dependence on fossil fuels, our main source of primary energy, has many drawbacks mainly caused by greenhouse gases. It is urgent to address this unsust...

Due to the increasing fuel price, the European fishing sector has been suffering a descendent trend since 1998. It is essential to find efficient solutions, through R&D, by the application of new technologies. We recently presented a portable, scalable and reusable data acquisition system for the categorization of energy consumption distribution in...

Due to the increasing fuel price, the European fishing sector has been suffering a descendent trend since 1998. It is essential to find efficient solutions, through R&D, by the application of new technologies. This paper presents a portable, scalable and reusable data acquisition system for the categorization of energy consumption distribution in f...