Modeling Sensor Knowledge of a National Hydrologic Information System

In this paper we describe our experience in modeling and using sensor knowledge of a national hydrologic information system in Spain. We developed a web application called VSAIH supported by a knowledge-based system to analyze sensor data and to generate explanations that help users to make decisions based on hydrologic behavior. In the paper, we describe the characteristics of the infrastructure of hydrologic sensors and the representa-tion we used to model sensor knowledge to provide support to the VSAIH application. We also describe semi-automatic procedures that we applied to construct the final model

Algebras of quotients of graded Lie algebras

In this paper we explore graded algebras of quotients of Lie algebras with special emphasis on the 3-graded case and answer some natural questions concerning its relation to maximal Jordan systems of quotients.Comment: 15 pages. To appear in the Journal of Algebr

Moléculas tripodales de p-fenileno: síntesis e inmovilización sobre superficies de oro y silicio

Fecha de lectura de Tesis Doctoral: 22 de febrero 2019La principal hipótesis de este trabajo de Tesis consiste en que la máxima efectividad de cualquier dispositivo se logrará con la estructuración a nivel molecular de las superficies. Por ello es necesario disponer de métodos para modificar químicamente estas superficies y dotarlas, de esta forma, de nuevas propiedades y aplicaciones. Con este fin, el diseño y síntesis de moléculas orgánicas para el desarrollo de nuevas estructuras híbridas que potencien su biocompatibilidad, en el análisis y uso en entornos biológicos, son fundamentales. La presente Tesis Doctoral profundiza en dos aspectos de la Química Orgánica aplicada. Por una parte, estudia la síntesis de macromoléculas derivadas de oligo-p-fenilenos con forma de trípode para aplicarlas en la nanoestructuración de superficies metálicas. Por otra parte, estudia la optimización en la modificación de superficies de oro (por el proceso de autoensamblaje) y silicio (mediante la reacción tipo click) con dichas moléculas. El fin de ambos estudios es combinar las buenas características como adsorbatos de los oligo-p-fenilenos con forma de trípode, con la nanoestructuración de superficies metálicas que permitan monitorizar interacciones moleculares. De esta forma, las estructuras híbridas resultantes pueden ser empleadas como una plataforma para reacciones químicas posteriores con activos que inmovilicen específicamente una proteína, fabricando de este modo nuevos biosensores

Generating text descriptions for geographically distributed sensors

Sensor networks, with thousands of geographically distributed sensors and different types of quantitative measures, need software tools to help users understand the meaning of measures. In this paper we pay attention to the problem of automatic generation of geographic descriptions in natural language for geographically distributed sensors. We describe this problem in the context of a web application in the domain of hydrology which is part of a more complex multimedia presentation system that combines text and graphics. We describe the web application and the algorithm that we designed to generate the geographic descriptions for sensors. Besides GIS data files, our method uses two information sources: an online server for geographic names (Geonames) and a specific knowledge base with text patterns that we constructed to process sensor identifiers. The evaluation results confirm that online geographic information resources such as Geonames are useful to generate names for sensors but they need to be combined with other more specific information sources (such as our knowledge base) to obtain good descriptions. We also compare our method with related work and show future lines of work

Isolation of Mouse Primary Aortic Endothelial Cells by Selection with Specific Antibodies

Endothelial cells (ECs) are key blood-vessel-wall components that play critical roles in the regulation of many physiological processes, including angiogenesis, coagulation, and vascular tone control, and in pathological events such as vessel inflammation and leukocyte infiltration. EC dysfunction is one of the first events associated with the development of atherosclerosis and is sustained throughout progression of the disease. The study of ECs in vitro has become an invaluable tool for investigating these vascular processes at the molecular level, and is widely used in the search for therapeutic targets and strategies. This chapter describes a protocol for the isolation and culture of primary mouse aortic ECs based on antibody-mediated EC selection.Work in V.A.’s laboratory is supported by grants from the Spanish Ministry for Economy and Competitiveness (MINECO) (SAF2013-46663-R), the Fondo Europeo de Desarrollo Regional (FEDER), the Instituto de Salud Carlos III (RD12/0042/0028), the Progeria Research Foundation (Innovator Award 2012, Established Investigator Award 2014), and the European Union (Liphos, Grant Agreement 317916). P.M-S. is supported by an FPU predoctoral fellowship from MINECO. The Centro Nacional de Investigaciones Cardiovasculares (CNIC) is supported by the MINECO and the Pro-CNIC Foundation.S

Isolation of Mouse Primary Aortic Endothelial Cells by Selection with Specific Antibodies

Endothelial cells (ECs) are key blood-vessel-wall components that play critical roles in the regulation of many physiological processes, including angiogenesis, coagulation, and vascular tone control, and in pathological events such as vessel inflammation and leukocyte infiltration. EC dysfunction is one of the first events associated with the development of atherosclerosis and is sustained throughout progression of the disease. The study of ECs in vitro has become an invaluable tool for investigating these vascular processes at the molecular level, and is widely used in the search for therapeutic targets and strategies. This chapter describes a protocol for the isolation and culture of primary mouse aortic ECs based on antibody-mediated EC selection.Work in V.A.’s laboratory is supported by grants from the Spanish Ministry for Economy and Competitiveness (MINECO) (SAF2013-46663-R), the Fondo Europeo de Desarrollo Regional (FEDER), the Instituto de Salud Carlos III (RD12/0042/0028), the Progeria Research Foundation (Innovator Award 2012, Established Investigator Award 2014), and the European Union (Liphos, Grant Agreement 317916). P.M-S. is supported by an FPU predoctoral fellowship from MINECO. The Centro Nacional de Investigaciones Cardiovasculares (CNIC) is supported by the MINECO and the Pro-CNIC Foundation.S

Non-methane hydrocarbons source apportionment at different sites in Mexico City during 2002?2003

International audienceThe atmospheric concentrations of a variety of non-methane hydrocarbons (NMHC) collected at different sites, representing urban and rural environments within Mexico City Metropolitan Area (MCMA) during 1997, 2002 and 2003 field campaigns, were compared and used as an input for the Chemical Mass Balance (CMB) receptor model to determine the source contribution of NMHC to the atmosphere. A common feature at all the locations was the dominance of alkenes (59%), aromatics (16%) and olefins (9%) in the average NMHC burden. At the urban sites the interquartile range of NMHC concentrations showed stabilization over this period with a slight increase in the concentrations of propane and butanes in the southwest site of the MCMA in 2003 due to the increased use of liquefied petroleum gas (LPG). The receptor model CMB version 8.0 was used to apportion the NMHC sources at six locations within the MCMA, representing the heavily industrialized, commercial, residential and rural areas. For the 2003 field campaign, the contribution of vehicular emissions dominated the NMHC concentrations (19.7%±7.1% for gasoline vehicles and 35.4%±17.5% for diesel vehicles) followed by the emissions of marketing and handling of LPG (29.9%±8.0%). The NMHC concentrations showed a weekly cycle with the highest levels towards the end of the week and lowest at weekend and beginning of the week, suggesting that both emissions and accumulations process play a key role in building up NMHC levels. The toluene to benzene ratio was used to determine photochemical ageing of the air samples during the 2003 field campaign. The database was divided into periods with similar wind circulation pattern; the results suggest that ageing process within the MCMA is generally suppressed by the amount of fresh emissions

Evaluation of a Local Fault Detection Algorithm for HVDC Systems

A great increase in the amount of energy generated from clean and renewable sources integrated in the electric power system is expected worldwide in the coming years. High Voltage Direct Current (HVDC) systems are seen as a promising alternative to the traditional Alternating Current (AC) systems for the expansion of the electric power system. However, to achieve this vision, there are some remaining challenges regarding HVDC systems which need to be solved. One of the main challenges is related to fault detection and location in HVDC grids. This paper reviews the main protection algorithms available and presents the evaluation of a local fault detection algorithm for DC faults in a multi-terminal Voltage Source Conversion (VSC) based HVDC grid. The paper analyses the influence of the DC voltage sampling frequency and the cable length in the performance of the algorithm. © 2019, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ).The authors thank the support from the Spanish Ministry of Economy, Industry and Competitiveness (project ENE2016-79145-R AEI/FEDER, UE) and GISEL research group IT1083-16), as well as from the University of the Basque Country UPV/EHU (research group funding PPG17/23)

Using Open Geographic Data to Generate Natural Language Descriptions for Hydrological Sensor Networks

Providing descriptions of isolated sensors and sensor networks in natural language, understandable by the general public, is useful to help users find relevant sensors and analyze sensor data. In this paper, we discuss the feasibility of using geographic knowledge from public databases available on the Web (such as OpenStreetMap, Geonames, or DBpedia) to automatically construct such descriptions. We present a general method that uses such information to generate sensor descriptions in natural language. The results of the evaluation of our method in a hydrologic national sensor network showed that this approach is feasible and capable of generating adequate sensor descriptions with a lower development effort compared to other approaches. In the paper we also analyze certain problems that we found in public databases (e.g., heterogeneity, non-standard use of labels, or rigid search methods) and their impact in the generation of sensor descriptions