17 resultados para GST and incapacitated entities

em Universidad Politécnica de Madrid


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This paper presents the development of the robotic multi-agent system SMART. In this system, the agent concept is applied to both hardware and software entities. Hardware agents are robots, with three and four legs, and an IP-camera that takes images of the scene where the cooperative task is carried out. Hardware agents strongly cooperate with software agents. These latter agents can be classified into image processing, communications, task management and decision making, planning and trajectory generation agents. To model, control and evaluate the performance of cooperative tasks among agents, a kind of PetriNet, called Work-Flow Petri Net, is used. Experimental results shows the good performance of the system.

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Current methods and tools that support Linked Data publication have mainly focused so far on static data, without considering the growing amount of streaming data available on the Web. In this paper we describe a case study that involves the publication of static and streaming Linked Data for bike sharing systems and related entities. We describe some of the challenges that we have faced, the solutions that we have explored, the lessons that we have learned, and the opportunities that lie in the future for exploiting Linked Stream Data.

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Strict technical quality assurance procedures are essential for PV plant bankability. When large-scale PV plants are concerned, this is typically accomplished in three consecutive phases: an energy yield forecast, that is performed at the beginning of the project and is typically accomplished by means of a simulation exercise performed with dedicated software; a reception test campaign, that is performed at the end of the commissioning and consists of a set of tests for determining the efficiency and the reliability of the PV plant devices; and a performance analysis of the first years of operation, that consists in comparing the real energy production with the one calculated from the recorded operating conditions and taking into account the maintenance records. In the last six years, IES-UPM has offered both indoor and on-site quality control campaigns for more than 60 PV plants, with an accumulated power of more than 300 MW, in close contact with Engineering, Procurement and Construction Contractors and financial entities. This paper presents the lessons learned from such experience.

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El deporte como fenómeno social y cultural ha sido ampliamente reivindicado por sus virtudes integradoras. A la actividad físico-deportiva, ya sea de competición o recreativa, se le han atribuido unos valores integradores que permitirían un ascenso de estatus social, argumento justificado en parte por los éxitos de jugadores de origen inmigrante en el deporte profesional. Por otro lado, el tejido asociativo, y especialmente el generado por la comunidad migrante, también utiliza la organización deportiva como forma de solidaridad y reivindicación identitaria. El objetivo de la tesis es analizar la formulación de los programas deportivos formulados a nivel político y asociativo en los barrios con mayor presencia de jóvenes inmigrantes y/o de segunda generación de París y Madrid destinadas a su integración sociocultural y analizar la implementación de dichas iniciativas. El método de recogida de datos consistió en la realización de 72 entrevistas en profundidad a varios niveles de responsabilidad política y de tipología de entidades sociales, así como el análisis documental de fuentes institucionales y asociativas. Los resultados muestran diferencias entre el planteamiento y la ejecución de las iniciativas condicionadas por el modelo de integración de cada contexto –oposición del modelo republicano en París al deporte comunitarista– y por la situación de crisis económica –fragilidad de los programas por el recorte presupuestario y subvenciones en el contexto madrileño–. Las conclusiones de esta tesis buscan profundizar en la verdadera contribución del deporte a la integración social y cultural de los jóvenes de origen inmigrante, y por extensión, a las sociedades culturalmente plurales. RÉSUMÉ Le sport en tant que phénomène social et culturel a été largement revendiqué pour ses vertus intégratrices. À l'activité physique et sportive, en forme de compétition où de loisirs, ont a attribué certaines valeurs intégratrices qui permettent une ascension de statut social, argument justifié en partie par le succès des joueurs d'origine immigrée dans le sport professionnel. Par ailleurs, le tissu associatif, et surtout celui engendré par la communauté migrante, a également utilisé l'organisation sportive comme une forme de solidarité et de revendication identitaire. L'objectif de la thèse est d'analyser la formulation des programmes sportifs à niveau politique et associatif dans les quartiers ayant une plus grande présence de jeunes immigrants et / ou deuxième génération de Paris et de Madrid, destinés à leur intégration socioculturelle et d'analyser la mise en oeuvre de ces initiatives. La méthode de collecte de données était de mener 72 entretiens semi-structurés à différents niveaux de responsabilité politique et de typologie des entités sociales, ainsi que l'analyse documentaire des sources officielles et associatives. Les résultats montrent des différences entre l'approche et la mise en oeuvre d'initiatives conditionnées par le modèle d'intégration de chaque contexte –l'opposition du modèle républicain à Paris envers le sport communautariste– et par la situation de crise économique –fragilité des programmes par les compressions budgétaires et les subventions dans le contexte madrilène–. Les conclusions de cette thèse visent à approfondir la véritable contribution du sport à l'intégration sociale et culturelle des jeunes immigrants, et, par extension, des sociétés culturellement plurielles. ABSTRACT Sport as a social and cultural phenomenon has been widely claimed by its integrative virtues. Whether competition or recreational, sport has been claimed for some integrative values that allow a rise in social status justified in part by the success of immigrant origin players in professional sports. On the other hand, associations, and especially those generated by the migrant community, also uses sports organization as a form of solidarity and identity recognition. The aim of the thesis is double: to understand the formulation of sports programs intended for sociocultural integration designed by political and and associative entities in neighborhoods with greater presence of young immigrants and/or second generation of Paris and Madrid and to analyze the implementation of such initiatives. The method of data collection was to conduct 72 in-depth interviews to various levels of political responsibility and typology of social entities and documentary analysis of institutional and associative sources. The results show differences between the approach and implementation of initiatives conditioned by the integration model of each context –an opposition of the republican model in Paris from ethnic sports– and the situation of economic crisis –programs weakness due to budget cuts and subsidies in the Madrid–. The conclusions of this thesis aim to deepen the true contribution of sport to social and cultural integration of young immigrants, and by extension, to culturally plural societies.

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La reutilización de efluentes depurados siempre ha sido una opción en lugares con déficit coyuntural o estructural de recursos hídricos, se haya o no procedido a la regulación y planificación de esta práctica. La necesidad se crea a partir de las demandas de una zona, normalmente riego agrícola, que ven un mejor desarrollo de su actividad por contar con este recurso. España es el país de la UE que más caudal reutiliza, y está dentro de los diez primeros a nivel mundial. La regulación de esta práctica por el RD 1620/2007, ayudó a incorporar la reutilización de efluentes depurados a la planificación hidrológica como parte de los programas de medidas, con objeto de mitigar presiones, como son las extracciones de agua superficial y subterránea, o mejoras medioambientales evitando un vertido. El objeto de este trabajo es conocer la situación de la reutilización de efluentes depurados en España, los diferentes escenarios y planteamientos de esta actividad, el desarrollo del marco normativo y su aplicabilidad, junto a los tratamientos que permiten alcanzar los límites de calidad establecidos en la normativa vigente, en función de los distintos usos. Además, se aporta un análisis de costes de las distintas unidades de tratamiento y tipologías de líneas de regeneración, tanto de las utilizadas después de un tratamiento secundario como de otras opciones de depuración, como son los biorreactores de membrana (MBRs). Para el desarrollo de estos objetivos, en primer lugar, se aborda el conocimiento de la situación de la reutilización en España a través de una base de datos diseñada para cubrir todos los aspectos de esta actividad: datos de la estación depuradora de aguas residuales (EDAR), de la estación regeneradora (ERA), caudales depurados, reutilizados, volúmenes utilizados y ubicación de los distintos usos, tipos de líneas de tratamiento, calidades del agua reutilizada, etc. Las principales fuentes de información son las Confederaciones Hidrográficas (CCHH) a través de las concesiones de uso del agua depurada, las entidades de saneamiento y depuración de las distintas comunidades autónomas (CCAA), ayuntamientos, Planes Hidrológicos de Cuenca (PHC) y visitas a las zonas más emblemáticas. Además, se revisan planes y programas con el fin de realizar una retrospectiva de cómo se ha ido consolidando y desarrollando esta práctica en las distintas zonas de la geografía española. Se han inventariado 322 sistemas de reutilización y 216 tratamientos de regeneración siendo el más extendido la filtración mediante filtro arena seguido de una desinfección mediante hipoclorito, aunque este tratamiento se ha ido sustituyendo por un físico-químico con decantación lamelar, filtro de arena y radiación ultravioleta, tratamiento de regeneración convencional (TRC), y otros tratamientos que pueden incluir membranas, tratamientos de regeneración avanzados (TRA), con dosificación de hipoclorito como desinfección residual, para adaptarse al actual marco normativo. El uso más extendido es el agrícola con el 70% del caudal total reutilizado, estimado en 408 hm3, aunque la capacidad de los tratamientos de regeneración esperada para 2015, tras el Plan Nacional de Reutilización de Aguas (PNRA), es tres veces superior. Respecto al desarrollo normativo, en las zonas donde la reutilización ha sido pionera, las administraciones competentes han ido desarrollando diferentes recomendaciones de calidad y manejo de este tipo de agua. El uso agrícola, y en zonas turísticas, el riego de campos de golf, fueron los dos primeros usos que tuvieron algún tipo de recomendación incluso reglamentación. Esta situación inicial, sin una normativa a nivel estatal ni recomendaciones europeas, creó cierta incertidumbre en el avance de la reutilización tanto a nivel de concesiones como de planificación. En la actualidad sigue sin existir una normativa internacional para la reutilización y regeneración de efluentes depurados. Las recomendaciones de referencia a nivel mundial, y en concreto para el uso agrícola, son las de la OMS (Organización Mundial de la Salud) publicadas 1989, con sus posteriores revisiones y ampliaciones (OMS, 2006). Esta norma combina tratamientos básicos de depuración y unas buenas prácticas basadas en diferentes niveles de protección para evitar problemas sanitarios. Otra normativa que ha sido referencia en el desarrollo del marco normativo en países donde se realiza esta práctica, son las recomendaciones dadas por la Agencia Medioambiente Estadunidense (USEPA, 2012) o las publicadas por el Estado de California (Título 22, 2001). Estas normas establecen unos indicadores y valores máximos dónde el tratamiento de regeneración es el responsable de la calidad final en función del uso. Durante 2015, la ISO trabajaba en un documento para el uso urbano donde se muestra tanto los posibles parámetros que habría que controlar como la manera de actuar para evitar posibles riesgos. Por otro lado, la Comisión Europea (CE) viene impulsando desde el 2014 la reutilización de aguas depuradas dentro del marco de la Estrategia Común de Implantación de la Directiva Marco del Agua, y fundamentalmente a través del grupo de trabajo de “Programas de medidas”. Para el desarrollo de esta iniciativa se está planteando sacar para 2016 una guía de recomendaciones que podría venir a completar el marco normativo de los distintos Estados Miembros (EM). El Real Decreto 1620/2007, donde se establece el marco jurídico de la reutilización de efluentes depurados, tiende más a la filosofía implantada por la USEPA, aunque la UE parece más partidaria de una gestión del riesgo, donde se establecen unos niveles de tolerancia y unos puntos de control en función de las condiciones socioeconómicas de los distintos Estados, sin entrar a concretar indicadores, valores máximos o tratamientos. Sin embargo, en la normativa estadounidense se indican una serie de tratamientos de regeneración, mientras que, en la española, se hacen recomendaciones a este respecto en una Guía sin validez legal. Por tanto, queda sin regular los procesos para alcanzar estos estándares de calidad, pudiendo ser éstos no apropiados para esta práctica. Es el caso de la desinfección donde el uso de hipoclorito puede generar subproductos indeseables. En la Guía de recomendaciones para la aplicación del RD, publicada por el Ministerio de Agricultura y Medioambiente (MAGRAMA) en 2010, se aclaran cuestiones frecuentes sobre la aplicación del RD, prescripciones técnicas básicas para los sistemas de reutilización, y buenas prácticas en función del uso. Aun así, el RD sigue teniendo deficiencias en su aplicación siendo necesaria una revisión de la misma, como en las frecuencias de muestreo incluso la omisión de algunos parámetros como huevos de nematodos que se ha demostrado ser inexistentes tras un tratamiento de regeneración convencional. En este sentido, existe una tendencia a nivel mundial a reutilizar las aguas con fines de abastecimiento, incluir indicadores de presencia de virus o protozoos, o incluir ciertas tecnologías como las membranas u oxidaciones avanzadas para afrontar temas como los contaminantes emergentes. Otro de los objetivos de este trabajo es el estudio de tipologías de tratamiento en función de los usos establecidos en el RD 1620/2007 y sus costes asociados, siendo base de lo establecido a este respecto en la Guía y PNRA anteriormente indicados. Las tipologías de tratamiento propuestas se dividen en líneas con capacidad de desalar y las que no cuentan con una unidad de desalación de aguas salobres de ósmosis inversa o electrodiálisis reversible. Se realiza esta división al tener actuaciones en zonas costeras donde el agua de mar entra en los colectores, adquiriendo el agua residual un contenido en sales que es limitante en algunos usos. Para desarrollar este objetivo se han estudiado las unidades de tratamiento más implantadas en ERAs españolas en cuanto a fiabilidad para conseguir determinada calidad y coste, tanto de implantación como de explotación. El TRC, tiene un coste de implantación de 28 a 48 €.m-3.d y de explotación de 0,06 a 0,09 €. m-3, mientras que, si se precisara desalar, este coste se multiplica por diez en la implantación y por cinco en la explotación. En caso de los usos que requieren de TRA, como los domiciliarios o algunos industriales, los costes serían de 185 a 398 €.m-3.d en implantación y de 0,14 a 0,20 €.m-3 en explotación. En la selección de tecnologías de regeneración, la capacidad del tratamiento en relación al coste es un indicador fundamental. Este trabajo aporta curvas de tendencia coste-capacidad que sirven de herramienta de selección frente a otros tratamientos de regeneración de reciente implantación como son los MBR, u otros como la desalación de agua de mar o los trasvases entre cuencas dentro de la planificación hidrológica. En España, el aumento de las necesidades de agua de alta calidad en zonas con recursos escasos, aumento de zonas sensibles como puntos de captación para potables, zonas de baño o zonas de producción piscícola, y en ocasiones, el escaso terreno disponible para la implantación de nuevas plantas depuradoras (EDARs), han convertido a los MBRs, en una opción dentro del marco de la reutilización de aguas depuradas. En este trabajo, se estudia esta tecnología frente a los TRC y TRA, aportando igualmente curvas de tendencia coste-capacidad, e identificando cuando esta opción tecnológica puede ser más competitiva frente a los otros tratamientos de regeneración. Un MBR es un tratamiento de depuración de fangos activos donde el decantador secundario es sustituido por un sistema de membranas de UF o MF. La calidad del efluente, por tanto, es la misma que el de una EDAR seguida de un TRA. Los MBRs aseguran una calidad del efluente para todos los usos establecidos en el RD, incluso dan un efluente que permite ser directamente tratado por las unidades de desalación de OI o EDR. La implantación de esta tecnología en España ha tenido un crecimiento exponencial, pasando de 13 instalaciones de menos de 5.000 m3. d-1 en el 2006, a más de 55 instalaciones en operación o construcción a finales del 2014, seis de ellas con capacidades por encima de los 15.000 m3. d-1. Los sistemas de filtración en los MBR son los que marcan la operación y diseño de este tipo de instalaciones. El sistema más implantado en España es de membrana de fibra hueca (MFH), sobre todo para instalaciones de gran capacidad, destacando Zenon que cuenta con el 57% de la capacidad total instalada. La segunda casa comercial con mayor número de plantas es Kubota, con membranas de configuración placa plana (MPP), que cuenta con el 30 % de la capacidad total instalada. Existen otras casas comerciales implantadas en MBR españoles como son Toray, Huber, Koch o Microdym. En este documento se realiza la descripción de los sistemas de filtración de todas estas casas comerciales, aportando información de sus características, parámetros de diseño y operación más relevantes. El estudio de 14 MBRs ha posibilitado realizar otro de los objetivos de este trabajo, la estimación de los costes de explotación e implantación de este tipo de sistemas frente a otras alternativas de tratamiento de regeneración. En este estudio han participado activamente ACA y ESAMUR, entidades públicas de saneamiento y depuración de Cataluña y Murcia respectivamente, que cuentan con una amplia experiencia en la explotación de este tipo de sistemas. Este documento expone los problemas de operación encontrados y sus posibles soluciones, tanto en la explotación como en los futuros diseños de este tipo de plantas. El trabajo concluye que los MBRs son una opción más para la reutilización de efluentes depurados, siendo ventajosos en costes, tanto de implantación como de explotación, respecto a EDARs seguidas de TRA en capacidades por encima de los 10.000 m3.d-1. ABSTRACT The reuse of treated effluent has always been an option in places where a situational or structural water deficit exists, whether regulatory and/or planning efforts are completed or not. The need arises from the demand of a sector, commonly agricultural irrigation, which benefits of this new resource. Within the EU, Spain is ahead in the annual volume of reclaimed water, and is among the top ten countries at a global scale. The regulation of this practice through the Royal Decree 1620/2007 has helped to incorporate the water reuse to the hydrological plans as a part of the programme of measures to mitigate pressures such as surface or ground water extraction, or environmental improvements preventing discharges. The object of this study is to gain an overview of the state of the water reuse in Spain, the different scenarios and approaches to this activity, the development of the legal framework and its enforceability, together with the treatments that achieve the quality levels according to the current law, broken down by applications. Additionally, a cost analysis of technologies and regeneration treatment lines for water reclamation is performed, whereas the regeneration treatment is located after a wastewater treatment or other options such as membrane bioreactors (MBR). To develop the abovementioned objectives, the state of water reuse in Spain is studied by means of a database designed to encompass all aspects of the activity: data from the wastewater treatment plants (WWTP), from the water reclamation plants (WRP), the use of reclaimed water, treated water and reclaimed water annual volumes and qualities, facilities and applications, geographic references, technologies, regeneration treatment lines, etc. The main data providers are the River Basin authorities, through the concession or authorization for water reuse, (sanitary and wastewater treatment managers from the territorial governments, local governments, Hydrological Plans of the River Basins and field visits to the main water reuse systems. Additionally, a review of different plans and programmes on wastewater treatment or water reuse is done, aiming to put the development and consolidation process of this activity in the different regions of Spain in perspective. An inventory of 322 reuse systems and 216 regeneration treatments has been gathered on the database, where the most extended regeneration treatment line was sand filtration followed by hypochlorite disinfection, even though recently it is being replaced by physical–chemical treatment with a lamella settling system, depth sand filtration, and a disinfection with ultraviolet radiation and hypochlorite as residual disinfectant, named conventional regeneration treatment (CRT), and another treatment that may include a membrane process, named advanced regeneration treatment (ART), to adapt to legal requirements. Agricultural use is the most extended, accumulating 70% of the reclaimed demand, estimated at 408 hm3, even though the expected total capacity of WRPs for 2015, after the implementation of the National Water Reuse Plan (NWRP) is three times higher. According to the development of the water reuse legal framework, there were pioneer areas where competent authorities developed different quality and use recommendations for this new resource. Agricultural use and golf course irrigation in touristic areas were the first two uses with recommendations and even legislation. The initial lack of common legislation for water reuse at a national or European level created some doubts which affected the implementation of water reuse, both from a planning and a licensing point of view. Currently there is still a lack of common international legislation regarding water reuse, technologies and applications. Regarding agricultural use, the model recommendations at a global scale are those set by the World Health Organization published in 1989, and subsequent reviews and extensions about risk prevention (WHO, 2006). These documents combine wastewater treatments with basic regeneration treatments reinforced by good practices based on different levels of protection to avoid deleterious health effects. Another relevant legal reference for this practices has been the Environmental Protection Agency of the US (USEPA, 2012), or those published by the State of California (Title 22, 2001). These establish indicator targets and maximum thresholds where regeneration treatment lines are responsible for the final quality according to the different uses. During 2015, the ISO has worked on a document aimed at urban use, where the possible parameters to be monitored together with risk prevention have been studied. On the other hand, the European Commission has been promoting the reuse of treated effluents within the Common Implementation Strategy of the Water Framework Directive, mainly through the work of the Programme of Measures Working Group. Within this context, the publication of a recommendation guide during 2016 is intended, as a useful tool to fill in the legal gaps of different Member States on the matter. The Royal Decree 1620/2007, where the water reuse regulation is set, resembles the principles of the USEPA more closely, even though the EU shows a tendency to prioritize risk assessment by establishing tolerance levels and thresholds according to socioeconomic conditions of the different countries, without going into details of indicators, maximum thresholds or treatments. In contrast, in the US law, regeneration treatments are indicated, while in the Spanish legislation, the only recommendations to this respect are compiled in a non-compulsory guide. Therefore, there is no regulation on the different treatment lines used to achieve the required quality standards, giving room for inappropriate practices in this respect. This is the case of disinfection, where the use of hypochlorite may produce harmful byproducts. In the recommendation Guide for the application of the Royal Decree (RD), published by the Ministry of Agriculture and Environment (MAGRAMA) in 2010, clarifications of typical issues that may arise from the application of the RD are given, as well as basic technical parameters to consider in reuse setups, or good practices according to final use. Even so, the RD still presents difficulties in its application and requires a review on issues such as the sampling frequency of current quality parameters or even the omission of nematode eggs indicator, which have been shown to be absent after CRT. In this regard, there is a global tendency to employ water reuse for drinking water, including indicators for the presence of viruses and protozoans, or to include certain technologies such as membranes or advanced oxidation processes to tackle problems like emerging pollutants. Another of the objectives of this study is to provide different regeneration treatment lines to meet the quality requirements established in the RD 1620/2007 broken down by applications, and to estimate establishment and operational costs. This proposal has been based on what is established in the above mentioned Guide and NWRP. The proposed treatment typologies are divided in treatment trains with desalination, like reverse osmosis or reversible electrodialisis, and those that lack this treatment for brackish water. This separation is done due to coastal facilities, where sea water may permeate the collecting pipes, rising salt contents in the wastewater, hence limiting certain uses. To develop this objective a study of the most common treatment units set up in Spanish WRPs is conducted in terms of treatment train reliability to obtain an acceptable relationship between the required quality and the capital and operational costs. The CRT has an establishment cost of 28 to 48 €.m-3.d and an operation cost of 0.06 to 0.09 €.m-3, while, if desalination was required, these costs would increase tenfold for implementation and fivefold for operation. In the cases of uses that require ART, such as residential or certain industrial uses, the costs would be of 185 to 398 €.m-3.d for implementation and of 0.14 to 0.20 €.m-3 for operation. When selecting regeneration treatment lines, the relation between treatment capacity and cost is a paramount indicator. This project provides cost-capacity models for regeneration treatment trains. These may serve as a tool when selecting between different options to fulfill water demands with MBR facilities, or others such as sea water desalination plants or inter-basin water transfer into a water planning framework. In Spain, the requirement for high quality water in areas with low resource availability, the increasing number of sensitive zones, such as drinking water extraction, recreational bathing areas, fish protected areas and the lack of available land to set up new WWTPs, have turned MBRs into a suitable option for water reuse. In this work this technology is analyzed in contrast to CRT and ART, providing cost-capacity models, and identifying when and where this treatment option may outcompete other regeneration treatments. An MBR is an activated sludge treatment where the secondary settling is substituted by a membrane system of UF or MF. The quality of the effluent is, therefore, comparable to that of a WWTP followed by an ART. MBRs ensure a sufficient quality level for the requirements of the different uses established in the RD, even producing an effluent that can be directly treated in OI or EDR processes. The implementation of this technology in Spain has grown exponentially, growing from 13 facilities with less than 5000 m3.d-1 in 2006 to above 55 facilities operating by the end of 2014, 6 of them with capacities over 15000 m3.d-1. The membrane filtration systems for MBR are the ones that set the pace of operation and design of this type of facilities. The most widespread system in Spain is the hollow fiber membrane configuration, especially on high flow capacities, being Zenon commercial technology, which mounts up to 57% of the total installed capacity, the main contributor. The next commercial technology according to plant number is Kubota, which uses flat sheet membrane configuration, which mounts up to 30% of the total installed capacity. Other commercial technologies exist within the Spanish MBR context, such as Toray, Huber, Koch or Microdym. In this document an analysis of all of these membrane filtration systems is done, providing information about their characteristics and relevant design and operation parameters. The study of 14 full scale running MBRs has enabled to pursue another of the objectives of this work: the estimation of the implementation and operation costs of this type of systems in contrast to other regeneration alternatives. Active participation of ACA and ESAMUR, public wastewater treatment and reuse entities of Cataluña and Murcia respectively, has helped attaining this objective. A number of typical operative problems and their possible solutions are discussed, both for operation and plant design purposes. The conclusion of this study is that MBRs are another option to consider for water reuse, being advantageous in terms of both implementation and operational costs, when compared with WWTPs followed by ART, when considering flow capacities above 10000 m3.d-1.

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Self-consciousness implies not only self or group recognition, but also real knowledge of one’s own identity. Self-consciousness is only possible if an individual is intelligent enough to formulate an abstract self-representation. Moreover, it necessarily entails the capability of referencing and using this elf-representation in connection with other cognitive features, such as inference, and the anticipation of the consequences of both one’s own and other individuals’ acts. In this paper, a cognitive architecture for self-consciousness is proposed. This cognitive architecture includes several modules: abstraction, self-representation, other individuals'representation, decision and action modules. It includes a learning process of self-representation by direct (self-experience based) and observational learning (based on the observation of other individuals). For model implementation a new approach is taken using Modular Artificial Neural Networks (MANN). For model testing, a virtual environment has been implemented. This virtual environment can be described as a holonic system or holarchy, meaning that it is composed of autonomous entities that behave both as a whole and as part of a greater whole. The system is composed of a certain number of holons interacting. These holons are equipped with cognitive features, such as sensory perception, and a simplified model of personality and self-representation. We explain holons’ cognitive architecture that enables dynamic self-representation. We analyse the effect of holon interaction, focusing on the evolution of the holon’s abstract self-representation. Finally, the results are explained and analysed and conclusions drawn.

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OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web 1. INTRODUCTION. LINGUISTIC TOOLS AND ANNOTATIONS: THEIR LIGHTS AND SHADOWS Computational Linguistics is already a consolidated research area. It builds upon the results of other two major ones, namely Linguistics and Computer Science and Engineering, and it aims at developing computational models of human language (or natural language, as it is termed in this area). Possibly, its most well-known applications are the different tools developed so far for processing human language, such as machine translation systems and speech recognizers or dictation programs. These tools for processing human language are commonly referred to as linguistic tools. Apart from the examples mentioned above, there are also other types of linguistic tools that perhaps are not so well-known, but on which most of the other applications of Computational Linguistics are built. These other types of linguistic tools comprise POS taggers, natural language parsers and semantic taggers, amongst others. All of them can be termed linguistic annotation tools. Linguistic annotation tools are important assets. In fact, POS and semantic taggers (and, to a lesser extent, also natural language parsers) have become critical resources for the computer applications that process natural language. Hence, any computer application that has to analyse a text automatically and ‘intelligently’ will include at least a module for POS tagging. The more an application needs to ‘understand’ the meaning of the text it processes, the more linguistic tools and/or modules it will incorporate and integrate. However, linguistic annotation tools have still some limitations, which can be summarised as follows: 1. Normally, they perform annotations only at a certain linguistic level (that is, Morphology, Syntax, Semantics, etc.). 2. They usually introduce a certain rate of errors and ambiguities when tagging. This error rate ranges from 10 percent up to 50 percent of the units annotated for unrestricted, general texts. 3. Their annotations are most frequently formulated in terms of an annotation schema designed and implemented ad hoc. A priori, it seems that the interoperation and the integration of several linguistic tools into an appropriate software architecture could most likely solve the limitations stated in (1). Besides, integrating several linguistic annotation tools and making them interoperate could also minimise the limitation stated in (2). Nevertheless, in the latter case, all these tools should produce annotations for a common level, which would have to be combined in order to correct their corresponding errors and inaccuracies. Yet, the limitation stated in (3) prevents both types of integration and interoperation from being easily achieved. In addition, most high-level annotation tools rely on other lower-level annotation tools and their outputs to generate their own ones. For example, sense-tagging tools (operating at the semantic level) often use POS taggers (operating at a lower level, i.e., the morphosyntactic) to identify the grammatical category of the word or lexical unit they are annotating. Accordingly, if a faulty or inaccurate low-level annotation tool is to be used by other higher-level one in its process, the errors and inaccuracies of the former should be minimised in advance. Otherwise, these errors and inaccuracies would be transferred to (and even magnified in) the annotations of the high-level annotation tool. Therefore, it would be quite useful to find a way to (i) correct or, at least, reduce the errors and the inaccuracies of lower-level linguistic tools; (ii) unify the annotation schemas of different linguistic annotation tools or, more generally speaking, make these tools (as well as their annotations) interoperate. Clearly, solving (i) and (ii) should ease the automatic annotation of web pages by means of linguistic tools, and their transformation into Semantic Web pages (Berners-Lee, Hendler and Lassila, 2001). Yet, as stated above, (ii) is a type of interoperability problem. There again, ontologies (Gruber, 1993; Borst, 1997) have been successfully applied thus far to solve several interoperability problems. Hence, ontologies should help solve also the problems and limitations of linguistic annotation tools aforementioned. Thus, to summarise, the main aim of the present work was to combine somehow these separated approaches, mechanisms and tools for annotation from Linguistics and Ontological Engineering (and the Semantic Web) in a sort of hybrid (linguistic and ontological) annotation model, suitable for both areas. This hybrid (semantic) annotation model should (a) benefit from the advances, models, techniques, mechanisms and tools of these two areas; (b) minimise (and even solve, when possible) some of the problems found in each of them; and (c) be suitable for the Semantic Web. The concrete goals that helped attain this aim are presented in the following section. 2. GOALS OF THE PRESENT WORK As mentioned above, the main goal of this work was to specify a hybrid (that is, linguistically-motivated and ontology-based) model of annotation suitable for the Semantic Web (i.e. it had to produce a semantic annotation of web page contents). This entailed that the tags included in the annotations of the model had to (1) represent linguistic concepts (or linguistic categories, as they are termed in ISO/DCR (2008)), in order for this model to be linguistically-motivated; (2) be ontological terms (i.e., use an ontological vocabulary), in order for the model to be ontology-based; and (3) be structured (linked) as a collection of ontology-based triples, as in the usual Semantic Web languages (namely RDF(S) and OWL), in order for the model to be considered suitable for the Semantic Web. Besides, to be useful for the Semantic Web, this model should provide a way to automate the annotation of web pages. As for the present work, this requirement involved reusing the linguistic annotation tools purchased by the OEG research group (http://www.oeg-upm.net), but solving beforehand (or, at least, minimising) some of their limitations. Therefore, this model had to minimise these limitations by means of the integration of several linguistic annotation tools into a common architecture. Since this integration required the interoperation of tools and their annotations, ontologies were proposed as the main technological component to make them effectively interoperate. From the very beginning, it seemed that the formalisation of the elements and the knowledge underlying linguistic annotations within an appropriate set of ontologies would be a great step forward towards the formulation of such a model (henceforth referred to as OntoTag). Obviously, first, to combine the results of the linguistic annotation tools that operated at the same level, their annotation schemas had to be unified (or, preferably, standardised) in advance. This entailed the unification (id. standardisation) of their tags (both their representation and their meaning), and their format or syntax. Second, to merge the results of the linguistic annotation tools operating at different levels, their respective annotation schemas had to be (a) made interoperable and (b) integrated. And third, in order for the resulting annotations to suit the Semantic Web, they had to be specified by means of an ontology-based vocabulary, and structured by means of ontology-based triples, as hinted above. Therefore, a new annotation scheme had to be devised, based both on ontologies and on this type of triples, which allowed for the combination and the integration of the annotations of any set of linguistic annotation tools. This annotation scheme was considered a fundamental part of the model proposed here, and its development was, accordingly, another major objective of the present work. All these goals, aims and objectives could be re-stated more clearly as follows: Goal 1: Development of a set of ontologies for the formalisation of the linguistic knowledge relating linguistic annotation. Sub-goal 1.1: Ontological formalisation of the EAGLES (1996a; 1996b) de facto standards for morphosyntactic and syntactic annotation, in a way that helps respect the triple structure recommended for annotations in these works (which is isomorphic to the triple structures used in the context of the Semantic Web). Sub-goal 1.2: Incorporation into this preliminary ontological formalisation of other existing standards and standard proposals relating the levels mentioned above, such as those currently under development within ISO/TC 37 (the ISO Technical Committee dealing with Terminology, which deals also with linguistic resources and annotations). Sub-goal 1.3: Generalisation and extension of the recommendations in EAGLES (1996a; 1996b) and ISO/TC 37 to the semantic level, for which no ISO/TC 37 standards have been developed yet. Sub-goal 1.4: Ontological formalisation of the generalisations and/or extensions obtained in the previous sub-goal as generalisations and/or extensions of the corresponding ontology (or ontologies). Sub-goal 1.5: Ontological formalisation of the knowledge required to link, combine and unite the knowledge represented in the previously developed ontology (or ontologies). Goal 2: Development of OntoTag’s annotation scheme, a standard-based abstract scheme for the hybrid (linguistically-motivated and ontological-based) annotation of texts. Sub-goal 2.1: Development of the standard-based morphosyntactic annotation level of OntoTag’s scheme. This level should include, and possibly extend, the recommendations of EAGLES (1996a) and also the recommendations included in the ISO/MAF (2008) standard draft. Sub-goal 2.2: Development of the standard-based syntactic annotation level of the hybrid abstract scheme. This level should include, and possibly extend, the recommendations of EAGLES (1996b) and the ISO/SynAF (2010) standard draft. Sub-goal 2.3: Development of the standard-based semantic annotation level of OntoTag’s (abstract) scheme. Sub-goal 2.4: Development of the mechanisms for a convenient integration of the three annotation levels already mentioned. These mechanisms should take into account the recommendations included in the ISO/LAF (2009) standard draft. Goal 3: Design of OntoTag’s (abstract) annotation architecture, an abstract architecture for the hybrid (semantic) annotation of texts (i) that facilitates the integration and interoperation of different linguistic annotation tools, and (ii) whose results comply with OntoTag’s annotation scheme. Sub-goal 3.1: Specification of the decanting processes that allow for the classification and separation, according to their corresponding levels, of the results of the linguistic tools annotating at several different levels. Sub-goal 3.2: Specification of the standardisation processes that allow (a) complying with the standardisation requirements of OntoTag’s annotation scheme, as well as (b) combining the results of those linguistic tools that share some level of annotation. Sub-goal 3.3: Specification of the merging processes that allow for the combination of the output annotations and the interoperation of those linguistic tools that share some level of annotation. Sub-goal 3.4: Specification of the merge processes that allow for the integration of the results and the interoperation of those tools performing their annotations at different levels. Goal 4: Generation of OntoTagger’s schema, a concrete instance of OntoTag’s abstract scheme for a concrete set of linguistic annotations. These linguistic annotations result from the tools and the resources available in the research group, namely • Bitext’s DataLexica (http://www.bitext.com/EN/datalexica.asp), • LACELL’s (POS) tagger (http://www.um.es/grupos/grupo-lacell/quees.php), • Connexor’s FDG (http://www.connexor.eu/technology/machinese/glossary/fdg/), and • EuroWordNet (Vossen et al., 1998). This schema should help evaluate OntoTag’s underlying hypotheses, stated below. Consequently, it should implement, at least, those levels of the abstract scheme dealing with the annotations of the set of tools considered in this implementation. This includes the morphosyntactic, the syntactic and the semantic levels. Goal 5: Implementation of OntoTagger’s configuration, a concrete instance of OntoTag’s abstract architecture for this set of linguistic tools and annotations. This configuration (1) had to use the schema generated in the previous goal; and (2) should help support or refute the hypotheses of this work as well (see the next section). Sub-goal 5.1: Implementation of the decanting processes that facilitate the classification and separation of the results of those linguistic resources that provide annotations at several different levels (on the one hand, LACELL’s tagger operates at the morphosyntactic level and, minimally, also at the semantic level; on the other hand, FDG operates at the morphosyntactic and the syntactic levels and, minimally, at the semantic level as well). Sub-goal 5.2: Implementation of the standardisation processes that allow (i) specifying the results of those linguistic tools that share some level of annotation according to the requirements of OntoTagger’s schema, as well as (ii) combining these shared level results. In particular, all the tools selected perform morphosyntactic annotations and they had to be conveniently combined by means of these processes. Sub-goal 5.3: Implementation of the merging processes that allow for the combination (and possibly the improvement) of the annotations and the interoperation of the tools that share some level of annotation (in particular, those relating the morphosyntactic level, as in the previous sub-goal). Sub-goal 5.4: Implementation of the merging processes that allow for the integration of the different standardised and combined annotations aforementioned, relating all the levels considered. Sub-goal 5.5: Improvement of the semantic level of this configuration by adding a named entity recognition, (sub-)classification and annotation subsystem, which also uses the named entities annotated to populate a domain ontology, in order to provide a concrete application of the present work in the two areas involved (the Semantic Web and Corpus Linguistics). 3. MAIN RESULTS: ASSESSMENT OF ONTOTAG’S UNDERLYING HYPOTHESES The model developed in the present thesis tries to shed some light on (i) whether linguistic annotation tools can effectively interoperate; (ii) whether their results can be combined and integrated; and, if they can, (iii) how they can, respectively, interoperate and be combined and integrated. Accordingly, several hypotheses had to be supported (or rejected) by the development of the OntoTag model and OntoTagger (its implementation). The hypotheses underlying OntoTag are surveyed below. Only one of the hypotheses (H.6) was rejected; the other five could be confirmed. H.1 The annotations of different levels (or layers) can be integrated into a sort of overall, comprehensive, multilayer and multilevel annotation, so that their elements can complement and refer to each other. • CONFIRMED by the development of: o OntoTag’s annotation scheme, o OntoTag’s annotation architecture, o OntoTagger’s (XML, RDF, OWL) annotation schemas, o OntoTagger’s configuration. H.2 Tool-dependent annotations can be mapped onto a sort of tool-independent annotations and, thus, can be standardised. • CONFIRMED by means of the standardisation phase incorporated into OntoTag and OntoTagger for the annotations yielded by the tools. H.3 Standardisation should ease: H.3.1: The interoperation of linguistic tools. H.3.2: The comparison, combination (at the same level and layer) and integration (at different levels or layers) of annotations. • H.3 was CONFIRMED by means of the development of OntoTagger’s ontology-based configuration: o Interoperation, comparison, combination and integration of the annotations of three different linguistic tools (Connexor’s FDG, Bitext’s DataLexica and LACELL’s tagger); o Integration of EuroWordNet-based, domain-ontology-based and named entity annotations at the semantic level. o Integration of morphosyntactic, syntactic and semantic annotations. H.4 Ontologies and Semantic Web technologies (can) play a crucial role in the standardisation of linguistic annotations, by providing consensual vocabularies and standardised formats for annotation (e.g., RDF triples). • CONFIRMED by means of the development of OntoTagger’s RDF-triple-based annotation schemas. H.5 The rate of errors introduced by a linguistic tool at a given level, when annotating, can be reduced automatically by contrasting and combining its results with the ones coming from other tools, operating at the same level. However, these other tools might be built following a different technological (stochastic vs. rule-based, for example) or theoretical (dependency vs. HPS-grammar-based, for instance) approach. • CONFIRMED by the results yielded by the evaluation of OntoTagger. H.6 Each linguistic level can be managed and annotated independently. • REJECTED: OntoTagger’s experiments and the dependencies observed among the morphosyntactic annotations, and between them and the syntactic annotations. In fact, Hypothesis H.6 was already rejected when OntoTag’s ontologies were developed. We observed then that several linguistic units stand on an interface between levels, belonging thereby to both of them (such as morphosyntactic units, which belong to both the morphological level and the syntactic level). Therefore, the annotations of these levels overlap and cannot be handled independently when merged into a unique multileveled annotation. 4. OTHER MAIN RESULTS AND CONTRIBUTIONS First, interoperability is a hot topic for both the linguistic annotation community and the whole Computer Science field. The specification (and implementation) of OntoTag’s architecture for the combination and integration of linguistic (annotation) tools and annotations by means of ontologies shows a way to make these different linguistic annotation tools and annotations interoperate in practice. Second, as mentioned above, the elements involved in linguistic annotation were formalised in a set (or network) of ontologies (OntoTag’s linguistic ontologies). • On the one hand, OntoTag’s network of ontologies consists of − The Linguistic Unit Ontology (LUO), which includes a mostly hierarchical formalisation of the different types of linguistic elements (i.e., units) identifiable in a written text; − The Linguistic Attribute Ontology (LAO), which includes also a mostly hierarchical formalisation of the different types of features that characterise the linguistic units included in the LUO; − The Linguistic Value Ontology (LVO), which includes the corresponding formalisation of the different values that the attributes in the LAO can take; − The OIO (OntoTag’s Integration Ontology), which  Includes the knowledge required to link, combine and unite the knowledge represented in the LUO, the LAO and the LVO;  Can be viewed as a knowledge representation ontology that describes the most elementary vocabulary used in the area of annotation. • On the other hand, OntoTag’s ontologies incorporate the knowledge included in the different standards and recommendations for linguistic annotation released so far, such as those developed within the EAGLES and the SIMPLE European projects or by the ISO/TC 37 committee: − As far as morphosyntactic annotations are concerned, OntoTag’s ontologies formalise the terms in the EAGLES (1996a) recommendations and their corresponding terms within the ISO Morphosyntactic Annotation Framework (ISO/MAF, 2008) standard; − As for syntactic annotations, OntoTag’s ontologies incorporate the terms in the EAGLES (1996b) recommendations and their corresponding terms within the ISO Syntactic Annotation Framework (ISO/SynAF, 2010) standard draft; − Regarding semantic annotations, OntoTag’s ontologies generalise and extend the recommendations in EAGLES (1996a; 1996b) and, since no stable standards or standard drafts have been released for semantic annotation by ISO/TC 37 yet, they incorporate the terms in SIMPLE (2000) instead; − The terms coming from all these recommendations and standards were supplemented by those within the ISO Data Category Registry (ISO/DCR, 2008) and also of the ISO Linguistic Annotation Framework (ISO/LAF, 2009) standard draft when developing OntoTag’s ontologies. Third, we showed that the combination of the results of tools annotating at the same level can yield better results (both in precision and in recall) than each tool separately. In particular, 1. OntoTagger clearly outperformed two of the tools integrated into its configuration, namely DataLexica and FDG in all the combination sub-phases in which they overlapped (i.e. POS tagging, lemma annotation and morphological feature annotation). As far as the remaining tool is concerned, i.e. LACELL’s tagger, it was also outperformed by OntoTagger in POS tagging and lemma annotation, and it did not behave better than OntoTagger in the morphological feature annotation layer. 2. As an immediate result, this implies that a) This type of combination architecture configurations can be applied in order to improve significantly the accuracy of linguistic annotations; and b) Concerning the morphosyntactic level, this could be regarded as a way of constructing more robust and more accurate POS tagging systems. Fourth, Semantic Web annotations are usually performed by humans or else by machine learning systems. Both of them leave much to be desired: the former, with respect to their annotation rate; the latter, with respect to their (average) precision and recall. In this work, we showed how linguistic tools can be wrapped in order to annotate automatically Semantic Web pages using ontologies. This entails their fast, robust and accurate semantic annotation. As a way of example, as mentioned in Sub-goal 5.5, we developed a particular OntoTagger module for the recognition, classification and labelling of named entities, according to the MUC and ACE tagsets (Chinchor, 1997; Doddington et al., 2004). These tagsets were further specified by means of a domain ontology, namely the Cinema Named Entities Ontology (CNEO). This module was applied to the automatic annotation of ten different web pages containing cinema reviews (that is, around 5000 words). In addition, the named entities annotated with this module were also labelled as instances (or individuals) of the classes included in the CNEO and, then, were used to populate this domain ontology. • The statistical results obtained from the evaluation of this particular module of OntoTagger can be summarised as follows. On the one hand, as far as recall (R) is concerned, (R.1) the lowest value was 76,40% (for file 7); (R.2) the highest value was 97, 50% (for file 3); and (R.3) the average value was 88,73%. On the other hand, as far as the precision rate (P) is concerned, (P.1) its minimum was 93,75% (for file 4); (R.2) its maximum was 100% (for files 1, 5, 7, 8, 9, and 10); and (R.3) its average value was 98,99%. • These results, which apply to the tasks of named entity annotation and ontology population, are extraordinary good for both of them. They can be explained on the basis of the high accuracy of the annotations provided by OntoTagger at the lower levels (mainly at the morphosyntactic level). However, they should be conveniently qualified, since they might be too domain- and/or language-dependent. It should be further experimented how our approach works in a different domain or a different language, such as French, English, or German. • In any case, the results of this application of Human Language Technologies to Ontology Population (and, accordingly, to Ontological Engineering) seem very promising and encouraging in order for these two areas to collaborate and complement each other in the area of semantic annotation. Fifth, as shown in the State of the Art of this work, there are different approaches and models for the semantic annotation of texts, but all of them focus on a particular view of the semantic level. Clearly, all these approaches and models should be integrated in order to bear a coherent and joint semantic annotation level. OntoTag shows how (i) these semantic annotation layers could be integrated together; and (ii) they could be integrated with the annotations associated to other annotation levels. Sixth, we identified some recommendations, best practices and lessons learned for annotation standardisation, interoperation and merge. They show how standardisation (via ontologies, in this case) enables the combination, integration and interoperation of different linguistic tools and their annotations into a multilayered (or multileveled) linguistic annotation, which is one of the hot topics in the area of Linguistic Annotation. And last but not least, OntoTag’s annotation scheme and OntoTagger’s annotation schemas show a way to formalise and annotate coherently and uniformly the different units and features associated to the different levels and layers of linguistic annotation. This is a great scientific step ahead towards the global standardisation of this area, which is the aim of ISO/TC 37 (in particular, Subcommittee 4, dealing with the standardisation of linguistic annotations and resources).

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It is easy to get frustrated at spoken conversational agents (SCAs), perhaps because they seem to be callous. By and large, the quality of human-computer interaction is affected due to the inability of the SCAs to recognise and adapt to user emotional state. Now with the mass appeal of artificially-mediated communication, there has been an increasing need for SCAs to be socially and emotionally intelligent, that is, to infer and adapt to their human interlocutors’ emotions on the fly, in order to ascertain an affective, empathetic and naturalistic interaction. An enhanced quality of interaction would reduce users’ frustrations and consequently increase their satisfactions. These reasons have motivated the development of SCAs towards including socio-emotional elements, turning them into affective and socially-sensitive interfaces. One barrier to the creation of such interfaces has been the lack of methods for modelling emotions in a task-independent environment. Most emotion models for spoken dialog systems are task-dependent and thus cannot be used “as-is” in different applications. This Thesis focuses on improving this, in which it concerns computational modeling of emotion, personality and their interrelationship for task-independent autonomous SCAs. The generation of emotion is driven by needs, inspired by human’s motivational systems. The work in this Thesis is organised in three stages, each one with its own contribution. The first stage involved defining, integrating and quantifying the psychological-based motivational and emotional models sourced from. Later these were transformed into a computational model by implementing them into software entities. The computational model was then incorporated and put to test with an existing SCA host, a HiFi-control agent. The second stage concerned automatic prediction of affect, which has been the main challenge towards the greater aim of infusing social intelligence into the HiFi agent. In recent years, studies on affect detection from voice have moved on to using realistic, non-acted data, which is subtler. However, it is more challenging to perceive subtler emotions and this is demonstrated in tasks such as labelling and machine prediction. In this stage, we attempted to address part of this challenge by considering the roles of user satisfaction ratings and conversational/dialog features as the respective target and predictors in discriminating contentment and frustration, two types of emotions that are known to be prevalent within spoken human-computer interaction. The final stage concerned the evaluation of the emotional model through the HiFi agent. A series of user studies with 70 subjects were conducted in a real-time environment, each in a different phase and with its own conditions. All the studies involved the comparisons between the baseline non-modified and the modified agent. The findings have gone some way towards enhancing our understanding of the utility of emotion in spoken dialog systems in several ways; first, an SCA should not express its emotions blindly, albeit positive. Rather, it should adapt its emotions to user states. Second, low performance in an SCA may be compensated by the exploitation of emotion. Third, the expression of emotion through the exploitation of prosody could better improve users’ perceptions of an SCA compared to exploiting emotions through just lexical contents. Taken together, these findings not only support the success of the emotional model, but also provide substantial evidences with respect to the benefits of adding emotion in an SCA, especially in mitigating users’ frustrations and ultimately improving their satisfactions. Resumen Es relativamente fácil experimentar cierta frustración al interaccionar con agentes conversacionales (Spoken Conversational Agents, SCA), a menudo porque parecen ser un poco insensibles. En general, la calidad de la interacción persona-agente se ve en cierto modo afectada por la incapacidad de los SCAs para identificar y adaptarse al estado emocional de sus usuarios. Actualmente, y debido al creciente atractivo e interés de dichos agentes, surge la necesidad de hacer de los SCAs unos seres cada vez más sociales y emocionalmente inteligentes, es decir, con capacidad para inferir y adaptarse a las emociones de sus interlocutores humanos sobre la marcha, de modo que la interacción resulte más afectiva, empática y, en definitiva, natural. Una interacción mejorada en este sentido permitiría reducir la posible frustración de los usuarios y, en consecuencia, mejorar el nivel de satisfacción alcanzado por los mismos. Estos argumentos justifican y motivan el desarrollo de nuevos SCAs con capacidades socio-emocionales, dotados de interfaces afectivas y socialmente sensibles. Una de las barreras para la creación de tales interfaces ha sido la falta de métodos de modelado de emociones en entornos independientes de tarea. La mayoría de los modelos emocionales empleados por los sistemas de diálogo hablado actuales son dependientes de tarea y, por tanto, no pueden utilizarse "tal cual" en diferentes dominios o aplicaciones. Esta tesis se centra precisamente en la mejora de este aspecto, la definición de modelos computacionales de las emociones, la personalidad y su interrelación para SCAs autónomos e independientes de tarea. Inspirada en los sistemas motivacionales humanos en el ámbito de la psicología, la tesis propone un modelo de generación/producción de la emoción basado en necesidades. El trabajo realizado en la presente tesis está organizado en tres etapas diferenciadas, cada una con su propia contribución. La primera etapa incluyó la definición, integración y cuantificación de los modelos motivacionales de partida y de los modelos emocionales derivados a partir de éstos. Posteriormente, dichos modelos emocionales fueron plasmados en un modelo computacional mediante su implementación software. Este modelo computacional fue incorporado y probado en un SCA anfitrión ya existente, un agente con capacidad para controlar un equipo HiFi, de alta fidelidad. La segunda etapa se orientó hacia el reconocimiento automático de la emoción, aspecto que ha constituido el principal desafío en relación al objetivo mayor de infundir inteligencia social en el agente HiFi. En los últimos años, los estudios sobre reconocimiento de emociones a partir de la voz han pasado de emplear datos actuados a usar datos reales en los que la presencia u observación de emociones se produce de una manera mucho más sutil. El reconocimiento de emociones bajo estas condiciones resulta mucho más complicado y esta dificultad se pone de manifiesto en tareas tales como el etiquetado y el aprendizaje automático. En esta etapa, se abordó el problema del reconocimiento de las emociones del usuario a partir de características o métricas derivadas del propio diálogo usuario-agente. Gracias a dichas métricas, empleadas como predictores o indicadores del grado o nivel de satisfacción alcanzado por el usuario, fue posible discriminar entre satisfacción y frustración, las dos emociones prevalentes durante la interacción usuario-agente. La etapa final corresponde fundamentalmente a la evaluación del modelo emocional por medio del agente Hifi. Con ese propósito se llevó a cabo una serie de estudios con usuarios reales, 70 sujetos, interaccionando con diferentes versiones del agente Hifi en tiempo real, cada uno en una fase diferente y con sus propias características o capacidades emocionales. En particular, todos los estudios realizados han profundizado en la comparación entre una versión de referencia del agente no dotada de ningún comportamiento o característica emocional, y una versión del agente modificada convenientemente con el modelo emocional propuesto. Los resultados obtenidos nos han permitido comprender y valorar mejor la utilidad de las emociones en los sistemas de diálogo hablado. Dicha utilidad depende de varios aspectos. En primer lugar, un SCA no debe expresar sus emociones a ciegas o arbitrariamente, incluso aunque éstas sean positivas. Más bien, debe adaptar sus emociones a los diferentes estados de los usuarios. En segundo lugar, un funcionamiento relativamente pobre por parte de un SCA podría compensarse, en cierto modo, dotando al SCA de comportamiento y capacidades emocionales. En tercer lugar, aprovechar la prosodia como vehículo para expresar las emociones, de manera complementaria al empleo de mensajes con un contenido emocional específico tanto desde el punto de vista léxico como semántico, ayuda a mejorar la percepción por parte de los usuarios de un SCA. Tomados en conjunto, los resultados alcanzados no sólo confirman el éxito del modelo emocional, sino xv que constituyen además una evidencia decisiva con respecto a los beneficios de incorporar emociones en un SCA, especialmente en cuanto a reducir el nivel de frustración de los usuarios y, en última instancia, mejorar su satisfacción.

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Linked data offers a promising setting to encode, publish and share metadata of resources. As the matter of fact, it is already adopted by data producers such as European Environment Agency, US and some EU Governs, whose first ambition is to share (meta)data making their processes more effective and transparent. Such as an increasing interest and involvement of data providers surely represents a genuine witness of the web of data success, but in a longer perspective, frameworks supporting linked data consumers in their decision making processes will be a compelling need. In this respect, the talk is introducing SSONDE, a framework enabling in detailed comparison, ranking and selection of linked data resources through the analysis of their RDF ontology driven metadata. SSONDE implements an instance similarity especially designed to support in resource selection, namely the process stakeholders engage to choose a set of resources suitable for a given analysis purpose: (i) it deploys an asymmetric similarity assessment to emphasize information about gains and losses the stakeholders get adopting a resource in place of another; (ii) it relies on an explicit formalization of contexts to tailor the similarity assessment with respect to specific user-defined selection goals. The talk aims at providing an insight on SSONDE instance similarity and it will briefly describe some examples of SSONDE deployment in the context of linked data consumption.

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Abstract Tree tomato (Solanum betaceum) is an Andean small tree cultivated for its juicy fruits. Little information is available on the characterization of genetic resources and breeding of this neglected crop. We have studied the molecular diversity with AFLP markers using 11 combinations of primers of a collection of 25 S. betaceum accessions belonging to four cultivar groups, most of which had been previously morphologically characterized, as well as one accession of the wild relative S. cajanumense.Atotal of 197 AFLP fragments were scored, of which 84 (43 %) were polymorphic. When excluding S. cajanumense from the analysis, the number of polymorphic AFLP fragments was 78 (40 %). Unique AFLP fingerprints were obtained for every accession, but no AFLP fragments specific and universal to any of the four cultivar groups were found. The total genetic diversity (HT) of cultivated accessions was HT = 0.2904, while for cultivar groups it ranged from HT = 0.1846 in the orange group to HT = 0.2498 in the orange pointed group. Genetic differentiation among cultivar groups (GST) was low (GST = 0.2248), which was matched by low values of genetic distance among cultivar groups. The diversity of collections from Ecuador, which we hypothesize is a center of diversity for tree tomato, was similar to that from other origins (HT = 0.2884 and HT = 0.2645, respectively). Cluster and PCoA analyses clearly separated wild S. cajanumense from the cultivated species. However, materials of different cultivar groups and origins were intermingled in both analyses. The Mantel test correlation coefficient of the matrices of morphological and AFLP distances was low (-0.024) and non-significant. Overall, the results show that a wide diversity is present in each of the cultivar groups, indicate that Ecuador may be regarded as a center of accumulation of diversity for this crop, and confirm that AFLP and morphological characterization data are complementary. The results obtained are of value for the conservation of genetic resources and breeding of tree tomato, as an assessment of the genetic diversity and relationships among differen

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The aim of this paper is to call into question those typologies conventionally used in developing the post-industrial urban fabric (streets, cityblocks, slabs, etc.), often catering to urban designs based on speculative interests and completely overlooking community interests. By defining the concepts of ?postpublic space? and ?reversible urban entities? and illustrating them with an exemplary case of Spanish residential architecture from the 1960s, we establish one possible way of tackling contemporary urban-residential projects. This alternative approach considers the relationship between residential systems and open space systems and promotes the continuity and/or alternation of scales between house and city in an effort to improve the urban quality of life for residents and external users.

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Recent developments in the area of multiscale modeling of fiber-reinforced polymers are presented. The overall strategy takes advantage of the separa-tion of length scales between different entities (ply, laminate, and component) found in composite structures. This allows us to carry out multiscale modeling by computing the properties of one entity (e.g., individual plies) at the relevant length scale, homogenizing the results into a constitutive model, and passing this information to the next length scale to determine the mechanical behavior of the larger entity (e.g., laminate). As a result, high-fidelity numerical sim-ulations of the mechanical behavior of composite coupons and small compo-nents are nowadays feasible starting from the matrix, fiber, and interface properties and spatial distribution. Finally, the roadmap is outlined for extending the current strategy to include functional properties and processing into the simulation scheme.

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La investigación para el conocimiento del cerebro es una ciencia joven, su inicio se remonta a Santiago Ramón y Cajal en 1888. Desde esta fecha a nuestro tiempo la neurociencia ha avanzado mucho en el desarrollo de técnicas que permiten su estudio. Desde la neurociencia cognitiva hoy se explican muchos modelos que nos permiten acercar a nuestro entendimiento a capacidades cognitivas complejas. Aun así hablamos de una ciencia casi en pañales que tiene un lago recorrido por delante. Una de las claves del éxito en los estudios de la función cerebral ha sido convertirse en una disciplina que combina conocimientos de diversas áreas: de la física, de las matemáticas, de la estadística y de la psicología. Esta es la razón por la que a lo largo de este trabajo se entremezclan conceptos de diferentes campos con el objetivo de avanzar en el conocimiento de un tema tan complejo como el que nos ocupa: el entendimiento de la mente humana. Concretamente, esta tesis ha estado dirigida a la integración multimodal de la magnetoencefalografía (MEG) y la resonancia magnética ponderada en difusión (dMRI). Estas técnicas son sensibles, respectivamente, a los campos magnéticos emitidos por las corrientes neuronales, y a la microestructura de la materia blanca cerebral. A lo largo de este trabajo hemos visto que la combinación de estas técnicas permiten descubrir sinergias estructurofuncionales en el procesamiento de la información en el cerebro sano y en el curso de patologías neurológicas. Más específicamente en este trabajo se ha estudiado la relación entre la conectividad funcional y estructural y en cómo fusionarlas. Para ello, se ha cuantificado la conectividad funcional mediante el estudio de la sincronización de fase o la correlación de amplitudes entre series temporales, de esta forma se ha conseguido un índice que mide la similitud entre grupos neuronales o regiones cerebrales. Adicionalmente, la cuantificación de la conectividad estructural a partir de imágenes de resonancia magnética ponderadas en difusión, ha permitido hallar índices de la integridad de materia blanca o de la fuerza de las conexiones estructurales entre regiones. Estas medidas fueron combinadas en los capítulos 3, 4 y 5 de este trabajo siguiendo tres aproximaciones que iban desde el nivel más bajo al más alto de integración. Finalmente se utilizó la información fusionada de MEG y dMRI para la caracterización de grupos de sujetos con deterioro cognitivo leve, la detección de esta patología resulta relevante en la identificación precoz de la enfermedad de Alzheimer. Esta tesis está dividida en seis capítulos. En el capítulos 1 se establece un contexto para la introducción de la connectómica dentro de los campos de la neuroimagen y la neurociencia. Posteriormente en este capítulo se describen los objetivos de la tesis, y los objetivos específicos de cada una de las publicaciones científicas que resultaron de este trabajo. En el capítulo 2 se describen los métodos para cada técnica que fue empleada: conectividad estructural, conectividad funcional en resting state, redes cerebrales complejas y teoría de grafos y finalmente se describe la condición de deterioro cognitivo leve y el estado actual en la búsqueda de nuevos biomarcadores diagnósticos. En los capítulos 3, 4 y 5 se han incluido los artículos científicos que fueron producidos a lo largo de esta tesis. Estos han sido incluidos en el formato de la revista en que fueron publicados, estando divididos en introducción, materiales y métodos, resultados y discusión. Todos los métodos que fueron empleados en los artículos están descritos en el capítulo 2 de la tesis. Finalmente, en el capítulo 6 se concluyen los resultados generales de la tesis y se discuten de forma específica los resultados de cada artículo. ABSTRACT In this thesis I apply concepts from mathematics, physics and statistics to the neurosciences. This field benefits from the collaborative work of multidisciplinary teams where physicians, psychologists, engineers and other specialists fight for a common well: the understanding of the brain. Research on this field is still in its early years, being its birth attributed to the neuronal theory of Santiago Ramo´n y Cajal in 1888. In more than one hundred years only a very little percentage of the brain functioning has been discovered, and still much more needs to be explored. Isolated techniques aim at unraveling the system that supports our cognition, nevertheless in order to provide solid evidence in such a field multimodal techniques have arisen, with them we will be able to improve current knowledge about human cognition. Here we focus on the multimodal integration of magnetoencephalography (MEG) and diffusion weighted magnetic resonance imaging. These techniques are sensitive to the magnetic fields emitted by the neuronal currents and to the white matter microstructure, respectively. The combination of such techniques could bring up evidences about structural-functional synergies in the brain information processing and which part of this synergy fails in specific neurological pathologies. In particular, we are interested in the relationship between functional and structural connectivity, and how two integrate this information. We quantify the functional connectivity by studying the phase synchronization or the amplitude correlation between time series obtained by MEG, and so we get an index indicating similarity between neuronal entities, i.e. brain regions. In addition we quantify structural connectivity by performing diffusion tensor estimation from the diffusion weighted images, thus obtaining an indicator of the integrity of the white matter or, if preferred, the strength of the structural connections between regions. These quantifications are then combined following three different approaches, from the lowest to the highest level of integration, in chapters 3, 4 and 5. We finally apply the fused information to the characterization or prediction of mild cognitive impairment, a clinical entity which is considered as an early step in the continuum pathological process of dementia. The dissertation is divided in six chapters. In chapter 1 I introduce connectomics within the fields of neuroimaging and neuroscience. Later in this chapter we describe the objectives of this thesis, and the specific objectives of each of the scientific publications that were produced as result of this work. In chapter 2 I describe the methods for each of the techniques that were employed, namely structural connectivity, resting state functional connectivity, complex brain networks and graph theory, and finally, I describe the clinical condition of mild cognitive impairment and the current state of the art in the search for early biomarkers. In chapters 3, 4 and 5 I have included the scientific publications that were generated along this work. They have been included in in their original format and they contain introduction, materials and methods, results and discussion. All methods that were employed in these papers have been described in chapter 2. Finally, in chapter 6 I summarize all the results from this thesis, both locally for each of the scientific publications and globally for the whole work.

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Sentiment analysis has recently gained popularity in the financial domain thanks to its capability to predict the stock market based on the wisdom of the crowds. Nevertheless, current sentiment indicators are still silos that cannot be combined to get better insight about the mood of different communities. In this article we propose a Linked Data approach for modelling sentiment and emotions about financial entities. We aim at integrating sentiment information from different communities or providers, and complements existing initiatives such as FIBO. The ap- proach has been validated in the semantic annotation of tweets of several stocks in the Spanish stock market, including its sentiment information.

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We present a methodology for legacy language resource adaptation that generates domain-specific sentiment lexicons organized around domain entities described with lexical information and sentiment words described in the context of these entities. We explain the steps of the methodology and we give a working example of our initial results. The resulting lexicons are modelled as Linked Data resources by use of established formats for Linguistic Linked Data (lemon, NIF) and for linked sentiment expressions (Marl), thereby contributing and linking to existing Language Resources in the Linguistic Linked Open Data cloud.