Generación procedimental de contenidos en videojuegos

Este proyecto consiste en el desarrollo de un sistema completo de generación procedimental de misiones para videojuegos. Buscamos crear, mediante un encadenamiento de algoritmos y un modelado del juego y sus componentes, secuencias de acciones y eventos de juego encadenados entre sí de forma lógica. La realización de estas secuencias de acciones lleva progresivamente hacia un objetivo final. Estas secuencias se conocen en el mundo de los juegos como misiones. Las dos fases principales del proceso son la generación de una misión a partir de un estado de juego inicial y la búsqueda de una misión óptima utilizando ciertos criterios que pueden estar ligados a las propiedades del jugador, dando lugar a misiones adaptativas. El proyecto contempla el desarrollo íntegro del sistema, lo que incluye tanto el sistema de generación y búsqueda como un videojuego donde integrar el resto del sistema para completarlo. El resultado final es plenamente funcional y jugable. La base teórica del proyecto proviene de la simbiosis de dos artes: la generación procedimental de contenido y la narración interactiva. This project involves the development of a complete procedural game quest generation system. We seek to build, by linking a series of algorithms, game and game component models, sequences of logically chained game actions and events. The ordered accomplishment of these sequences lead progressively to the fulfillment of a final objective. These sequences are known as quests in the videogame world. The two main parts of the process are quest generation from an initial game state and optimal quest search. This last is achieved by using certain criteria that can defined by the player properties, thus giving birth to adaptive quests. In this project. The system is comprehensively developed, including the quest generation and optimal search, as well as a full videogame, in which the rest of the system will be embedded so as to complete it. The final result is fully functional and playable. The theoretical basis of the project comes from the symbiosis of two different arts: procedural content generation and interactive storytelling.

Improving brain injury cognitive rehabilitation by personalized telerehabilitation services: Guttmann neuropersonal trainer

Cognitive rehabilitation aims to remediate or alleviate the cognitive deficits appearing after an episode of acquired brain injury (ABI). The purpose of this work is to describe the telerehabilitation platform called Guttmann Neuropersonal Trainer (GNPT) which provides new strategies for cognitive rehabilitation, improving efficiency and access to treatments, and to increase knowledge generation from the process. A cognitive rehabilitation process has been modeled to design and develop the system, which allows neuropsychologists to configure and schedule rehabilitation sessions, consisting of set of personalized computerized cognitive exercises grounded on neuroscience and plasticity principles. It provides remote continuous monitoring of patient's performance, by an asynchronous communication strategy. An automatic knowledge extraction method has been used to implement a decision support system, improving treatment customization. GNPT has been implemented in 27 rehabilitation centers and in 83 patients' homes, facilitating the access to the treatment. In total, 1660 patients have been treated. Usability and cost analysis methodologies have been applied to measure the efficiency in real clinical environments. The usability evaluation reveals a system usability score higher than 70 for all target users. The cost efficiency study results show a relation of 1-20 compared to face-to-face rehabilitation. GNPT enables brain-damaged patients to continue and further extend rehabilitation beyond the hospital, improving the efficiency of the rehabilitation process. It allows customized therapeutic plans, providing information to further development of clinical practice guidelines.

PRISMA: Model-driven development of aspect-oriented software architectures

This summary presents a methodology for supporting the development of AOSAs following the MDD paradigm. This new methodology is called PRISMA and allows the code generation from models which specify functional and non-functional requirements.

Methodology for developing an advanced communications system for the Deaf in a new domain

A methodology for developing an advanced communications system for the Deaf in a new domain is presented in this paper. This methodology is a user-centred design approach consisting of four main steps: requirement analysis, parallel corpus generation, technology adaptation to the new domain, and finally, system evaluation. During the requirement analysis, both the user and technical requirements are evaluated and defined. For generating the parallel corpus, it is necessary to collect Spanish sentences in the new domain and translate them into LSE (Lengua de Signos Española: Spanish Sign Language). LSE is represented by glosses and using video recordings. This corpus is used for training the two main modules of the advanced communications system to the new domain: the spoken Spanish into the LSE translation module and the Spanish generation from the LSE module. The main aspects to be generated are the vocabularies for both languages (Spanish words and signs), and the knowledge for translating in both directions. Finally, the field evaluation is carried out with deaf people using the advanced communications system to interact with hearing people in several scenarios. In this evaluation, the paper proposes several objective and subjective measurements for evaluating the performance. In this paper, the new considered domain is about dialogues in a hotel reception. Using this methodology, the system was developed in several months, obtaining very good performance: good translation rates (10% Sign Error Rate) with small processing times, allowing face-to-face dialogues.

Recuperación cruzada de información pública clínico-genómica a partir de consultas sobre repositorios clínicos privados

Parte de la investigación biomédica actual se encuentra centrada en el análisis de datos heterogéneos. Estos datos pueden tener distinto origen, estructura, y semántica. Gran cantidad de datos de interés para los investigadores se encuentran en bases de datos públicas, que recogen información de distintas fuentes y la ponen a disposición de la comunidad de forma gratuita. Para homogeneizar estas fuentes de datos públicas con otras de origen privado, existen diversas herramientas y técnicas que permiten automatizar los procesos de homogeneización de datos heterogéneos. El Grupo de Informática Biomédica (GIB) [1] de la Universidad Politécnica de Madrid colabora en el proyecto europeo P-medicine [2], cuya finalidad reside en el desarrollo de una infraestructura que facilite la evolución de los procedimientos médicos actuales hacia la medicina personalizada. Una de las tareas enmarcadas en el proyecto P-medicine que tiene asignado el grupo consiste en elaborar herramientas que ayuden a usuarios en el proceso de integración de datos contenidos en fuentes de información heterogéneas. Algunas de estas fuentes de información son bases de datos públicas de ámbito biomédico contenidas en la plataforma NCBI [3] (National Center for Biotechnology Information). Una de las herramientas que el grupo desarrolla para integrar fuentes de datos es Ontology Annotator. En una de sus fases, la labor del usuario consiste en recuperar información de una base de datos pública y seleccionar de forma manual los resultados relevantes. Para automatizar el proceso de búsqueda y selección de resultados relevantes, por un lado existe un gran interés en conseguir generar consultas que guíen hacia resultados lo más precisos y exactos como sea posible, por otro lado, existe un gran interés en extraer información relevante de elevadas cantidades de documentos, lo cual requiere de sistemas que analicen y ponderen los datos que caracterizan a los mismos. En el campo informático de la inteligencia artificial, dentro de la rama de la recuperación de la información, existen diversos estudios acerca de la expansión de consultas a partir de retroalimentación relevante que podrían ser de gran utilidad para dar solución a la cuestión. Estos estudios se centran en técnicas para reformular o expandir la consulta inicial utilizando como realimentación los resultados que en una primera instancia fueron relevantes para el usuario, de forma que el nuevo conjunto de resultados tenga mayor proximidad con los que el usuario realmente desea. El objetivo de este trabajo de fin de grado consiste en el estudio, implementación y experimentación de métodos que automaticen el proceso de extracción de información trascendente de documentos, utilizándola para expandir o reformular consultas. De esta forma se pretende mejorar la precisión y el ranking de los resultados asociados. Dichos métodos serán integrados en la herramienta Ontology Annotator y enfocados a la fuente de datos de PubMed [4].---ABSTRACT---Part of the current biomedical research is focused on the analysis of heterogeneous data. These data may have different origin, structure and semantics. A big quantity of interesting data is contained in public databases which gather information from different sources and make it open and free to be used by the community. In order to homogenize thise sources of public data with others which origin is private, there are some tools and techniques that allow automating the processes of integration heterogeneous data. The biomedical informatics group of the Universidad Politécnica de Madrid cooperates with the European project P-medicine which main purpose is to create an infrastructure and models to facilitate the transition from current medical practice to personalized medicine. One of the tasks of the project that the group is in charge of consists on the development of tools that will help users in the process of integrating data from diverse sources. Some of the sources are biomedical public data bases from the NCBI platform (National Center for Biotechnology Information). One of the tools in which the group is currently working on for the integration of data sources is called the Ontology Annotator. In this tool there is a phase in which the user has to retrieve information from a public data base and select the relevant data contained in it manually. For automating the process of searching and selecting data on the one hand, there is an interest in automatically generating queries that guide towards the more precise results as possible. On the other hand, there is an interest on retrieve relevant information from large quantities of documents. The solution requires systems that analyze and weigh the data allowing the localization of the relevant items. In the computer science field of the artificial intelligence, in the branch of information retrieval there are diverse studies about the query expansion from relevance feedback that could be used to solve the problem. The main purpose of this studies is to obtain a set of results that is the closer as possible to the information that the user really wants to retrieve. In order to reach this purpose different techniques are used to reformulate or expand the initial query using a feedback the results that where relevant for the user, with this method, the new set of results will have more proximity with the ones that the user really desires. The goal of this final dissertation project consists on the study, implementation and experimentation of methods that automate the process of extraction of relevant information from documents using this information to expand queries. This way, the precision and the ranking of the results associated will be improved. These methods will be integrated in the Ontology Annotator tool and will focus on the PubMed data source.

Generación automática de la configuración de subestaciones eléctricas según el Estándar IEC 61850 a partir de una herramienta de diseño gráfico

La evolución de las redes eléctricas se dirige hacia lo que se conoce como “Smart Grids” o “Redes Eléctricas Inteligentes”. Estas “Smart Grids” se componen de subestaciones eléctricas, que a su vez se componen de unos dispositivos llamados IEDs (Dispositivos Electrónicos Inteligentes – Intelligent Electronic Devices). El diseño de IEDs se encuentra definido en la norma IEC 61850, que especifica además un Lenguaje de Configuración de Subestaciones (Substation Configuration Language SCL) para la definición de la configuración de subestaciones y sus IEDs. Hoy en día, este estándar internacional no sólo se utiliza para diseñar correctamente IEDs y asegurar su interoperabilidad, sino que también se utiliza para el diseño de otros dispositivos de la red eléctrica, como por ejemplo, medidores inteligentes. Sin embargo, aunque existe una tendencia cada vez mayor del uso de este estándar, la comprensión y el manejo del mismo resulta difícil debido al gran volumen de información que lo compone y del nivel de detalle que utiliza, por lo que su uso para el diseño de IEDs se hace tedioso sin la ayuda de un soporte software. Es por ello que, para facilitar la aplicación del estándar IEC 61850 en el diseño de IEDs se han desarrollado herramientas como “Visual SCL”, “SCL Explorer” o “61850 SCLVisual Design Tool”. En concreto, “61850 SCLVisual Design Tool” es una herramienta gráfica para el modelado de subestaciones electricas, generada mediante el uso de los frameworks Eclipse Modeling Framework (EMF) y Epsilon Generative Modeling Technologies (GMT) y desarrollada por el grupo de investigación SYST de la UPM. El objetivo de este proyecto es añadir una nueva funcionalidad a la herramienta “61850 Visual SCL DesignTool”. Esta nueva funcionalidad consiste en la generación automática de un fichero de configuración de subestaciones eléctricas según el estándar IEC 61850 a partir de de una herramienta de diseño gráfico. Este fichero, se denomina SCD (Substation Configuration Description), y se trata de un fichero XML conforme a un esquema XSD (XML Schema Definition) mediante el que se define el lenguaje de configuración de subestaciones SCL del IEC 61850. Para el desarrollo de este proyecto, es necesario el estudio del lenguaje para la configuración de subestaciones SCL, así como del lenguaje gráfico específico de dominio definido por la herramienta “61850 SCLVisual Design Tool”, la estructura de los ficheros SCD, y finalmente, del lenguaje EGL (Epsilon Generation Language) para la transformación y generación automática de código a partir de modelos EMF. ABSTRACT Electrical networks are evolving to “Smart Grids”. Smart Grids are composed of electrical substations that in turn are composed of devices called IEDs (Intelligent Electronic Devices). The design of IEDs is defined by the IEC 61850 standard, which also specifies a Substation Configuration Languaje (SCL) used to define the configuration of substations and their IEDs. Nowadays, this international standard is not only used to design properly IEDs and guarantee their interoperability, but it is also used to design different electrical network devices, such as, smart meters. However, although the use of this standard is growing, its compression as well as its management, is still difficult due to its large volume of information and its level of detail. As a result, designing IEDs becomes a tedious task without a software support. As a consequence of this, in order to make easier the application of the IEC 61850 standard while designing IEDs, some software tools have been developed, such as: “Visual SCL”, “SCL Explorer” or “61850 SCLVisual Design Tool”. In particular, “61850 SCLVisual Design Tool” is a graphical tool used to make electrical substations models, and developed with the Eclipse Modeling Framework (EMF) and Epsilon Generative Modeling Technologies (GMT) by the research group SYST of the UPM. The aim of this project is to add a new functionality to “61850 Visual SCL DesignTool”. This new functionality consists of the automatic code generation of a substation configuration file according to the IEC 61850 standard. This file is called SCD (Substation Configuration Description), and it is a XML file that follows a XSD (XML Schema Definition) that defines the Substation Configuration Language (SCL) of the IEC 61850. In order to develop this project, it is necessary to study the Substation Configuration Language (SCL), the domain-specific graphical languaje defined by the tool “61850 SCLVisual Design Tool”, the structure of a SCD file, and the Epsilon Generation Language (EGL) used for the automatic code generation from EMF models

A resistance emulation approach to optimize the wave energy harvesting for a direct drive point absorber

In general, a major challenge for the exploitation of renewable energies is to improve their efficiency. In electricity generation from the energy of ocean waves, not unlike other technologies, the converter must be optimized to make the energy harvesting economically feasible. This paper proposes a passive tuning control strategy of a point absorber in which the power captured is maximized by controlling the electromagnetic force of the generator with a resistance emulation approach. The proposed strategy consists of mapping the optimal values for regular waves and applying them to irregular waves. This strategy is tested in a wave energy converter in which the generator is connected to a boost rectifier converter whose controller is designed to emulate a resistance. The power electronics system implemented is validated by comparing its performance with the case in which the generator is directly connected to a resistive load. The simulation results show the effectiveness of the proposed strategy as the maximum captured power is concentrated around the optimal values previously calculated and with the same behavior for both excitations.

Coagulation initiated on herpesviruses

Herpesviruses have been previously correlated to vascular disease and shown to cause thrombogenic and atherogenic changes to host cells. Herein we show that even in the absence of cells, purified cytomegalovirus (CMV) and herpes simplex virus type 1 (HSV-1) and type 2 (HSV-2) can initiate thrombin production. Functional assays demonstrated that purified HSV-1 and HSV-2 provide the necessary phospholipid (proPL) for assembling the coagulation factors Xa and Va into prothrombinase, which is responsible for generating thrombin. These observations are consistent with our earlier studies involving CMV. The presence of proPL on all three herpesviruses was confirmed directly by flow cytometry and electron microscopy by using annexin V and factor Va, respectively, as proPL-specific probes. Of equal importance, we found that CMV, HSV-1, and HSV-2 were also able to facilitate factor Xa generation from the inactive precursor factor X, but only when factor VII/VIIa and Ca2+ were present. Monoclonal antibodies specific for tissue factor (TF), the coagulation initiator, inhibited this factor X activation and, furthermore, enabled identification of TF antigen on each virus type by flow cytometry and electron microscopy. Collectively, these data show that CMV, HSV-1, and HSV-2 can initiate the generation of thrombin by having essential proPL and TF activities on their surface. Unlike the normal cellular source, the viral activity is constitutive and, therefore, not restricted to sites of vascular injury. Thus cell-independent thrombin production may be the earliest event in vascular pathology mediated by herpesviruses.

Rapid genome change in synthetic polyploids of Brassica and its implications for polyploid evolution.

Although the evolutionary success of polyploidy in higher plants has been widely recognized, there is virtually no information on how polyploid genomes have evolved after their formation. In this report, we used synthetic polyploids of Brassica as a model system to study genome evolution in the early generations after polyploidization. The initial polyploids we developed were completely homozygous, and thus, no nuclear genome changes were expected in self-fertilized progenies. However, extensive genome change was detected by 89 nuclear DNA clones used as probes. Most genome changes involved loss and/or gain of parental restriction fragments and appearance of novel fragments. Genome changes occurred in each generation from F2 to F5, and the frequency of change was associated with divergence of the diploid parental genomes. Genetic divergence among the derivatives of synthetic polyploids was evident from variation in genome composition and phenotypes. Directional genome changes, possibly influenced by cytoplasmic-nuclear interactions, were observed in one pair of reciprocal synthetics. Our results demonstrate that polyploid species can generate extensive genetic diversity in a short period of time. The occurrence and impact of this process in the evolution of natural polyploids is unknown, but it may have contributed to the success and diversification of many polyploid lineages in both plants and animals.

Aplicação de modelos de defeitos na geração de conjuntos de teste completos a partir de Sistemas de Transição com Entrada/Saída

O Teste Baseado em Modelos (TBM) emergiu como uma estratégia promissora para minimizar problemas relacionados à falta de tempo e recursos em teste de software e visa verificar se a implementação sob teste está em conformidade com sua especificação. Casos de teste são gerados automaticamente a partir de modelos comportamentais produzidos durante o ciclo de desenvolvimento de software. Entre as técnicas de modelagem existentes, Sistemas de Transição com Entrada/Saída (do inglês, Input/Output Transition Systems - IOTSs), são modelos amplamente utilizados no TBM por serem mais expressivos do que Máquinas de Estado Finito (MEFs). Apesar dos métodos existentes para geração de testes a partir de IOTSs, o problema da seleção de casos de testes é um tópico difícil e importante. Os métodos existentes para IOTS são não-determinísticos, ao contrário da teoria existente para MEFs, que fornece garantia de cobertura completa com base em um modelo de defeitos. Esta tese investiga a aplicação de modelos de defeitos em métodos determinísticos de geração de testes a partir de IOTSs. Foi proposto um método para geração de conjuntos de teste com base no método W para MEFs. O método gera conjuntos de teste de forma determinística além de satisfazer condições de suficiência de cobertura da especificação e de todos os defeitos do domínio de defeitos definido. Estudos empíricos avaliaram a aplicabilidade e eficácia do método proposto: resultados experimentais para analisar o custo de geração de conjuntos de teste utilizando IOTSs gerados aleatoriamente e um estudo de caso com especificações da indústria mostram a efetividade dos conjuntos gerados em relação ao método tradicional de Tretmans.

Aplicaciones de procesamiento de lenguaje natural

El campo de procesamiento de lenguaje natural (PLN), ha tenido un gran crecimiento en los últimos años; sus áreas de investigación incluyen: recuperación y extracción de información, minería de datos, traducción automática, sistemas de búsquedas de respuestas, generación de resúmenes automáticos, análisis de sentimientos, entre otras. En este artículo se presentan conceptos y algunas herramientas con el fin de contribuir al entendimiento del procesamiento de texto con técnicas de PLN, con el propósito de extraer información relevante que pueda ser usada en un gran rango de aplicaciones. Se pueden desarrollar clasificadores automáticos que permitan categorizar documentos y recomendar etiquetas; estos clasificadores deben ser independientes de la plataforma, fácilmente personalizables para poder ser integrados en diferentes proyectos y que sean capaces de aprender a partir de ejemplos. En el presente artículo se introducen estos algoritmos de clasificación, se analizan algunas herramientas de código abierto disponibles actualmente para llevar a cabo estas tareas y se comparan diversas implementaciones utilizando la métrica F en la evaluación de los clasificadores.

Dynamical Approach for Real-Time Monitoring of Agricultural Crops

In this paper, a novel approach for exploiting multitemporal remote sensing data focused on real-time monitoring of agricultural crops is presented. The methodology is defined in a dynamical system context using state-space techniques, which enables the possibility of merging past temporal information with an update for each new acquisition. The dynamic system context allows us to exploit classical tools in this domain to perform the estimation of relevant variables. A general methodology is proposed, and a particular instance is defined in this study based on polarimetric radar data to track the phenological stages of a set of crops. A model generation from empirical data through principal component analysis is presented, and an extended Kalman filter is adapted to perform phenological stage estimation. Results employing quad-pol Radarsat-2 data over three different cereals are analyzed. The potential of this methodology to retrieve vegetation variables in real time is shown.

Unblocking the Lifeline of Talent. CEPS Policy Brief No. 306, 6 December 2013

Against the background of looming demographic decline, the departure of the baby-boom generation from European labour markets and growing economic competitiveness from emerging economies, this CEPS Policy Brief, published jointly with the Bertelsmann Stiftung, looks into the potential benefits of increased intra-EU labour mobility. The authors examine the ‘German case’ on EU labour mobility, digging below the surface of the aggregate data. They offer proposals on how to foster a European fair deal on talent, one that would benefit the EU as a whole. The paper concludes with policy recommendations on how to increase the potential benefits of the freedom of movement for both individual EU citizens and for the EU as a whole.

Hydrogen economy options for Australia

Global concerns over the effects of current carbon dioxide (CO2) emissions have lead to extensive research on the use of hydrogen as a potential energy carrier for a lower emissions society. Hydrogen can be produced from both fossil and renewable energy sources. The hydrogen economy, in which hydrogen will be a carrier of energy from renewable sources, is a long-term development and any increasing demand for hydrogen will probably be covered initially from fossil sources. Technologies for hydrogen generation from renewable energies are being explored, whereas technologies for hydrogen production from fossil fuels have to a certain extent reached maturity. This paper addresses the major hydrogen generation processes and utilisation technology (fuel cells) currently available for the move from a fossil fuelsbased economy to a hydrogen economy. In particular, it illustrates the applicability of different hydrogen sources using Australia as an example.

Host B cells produce IL-10 following TBI and attenuate acute GVHD after allogeneic bone marrow transplantation

Host antigen-presenting cells (APCs) are known to be critical for the induction of graft-versus-host disease (GVHD) after allogeneic bone marrow transplantation (BMT), but the relative contribution of specific APC subsets remains unclear. We have studied the role of host B cells in GVHD by using B-cell-deficient mu MT mice as BMT recipients in a model of CD4-dependent GVHD to major histocompatlibility complex antigens. We demonstrate that acute GVHD is initially augmented in mu MT recipients relative to wild-type recipients (mortality: 85% vs 44%, P < .01), and this is the result of an increase in donor T-cell proliferation, expansion, and inflammatory cytokine production early after BMT. Recipient B cells were depleted 28-fold at the time of BMT by total body irradiation (TBI) administered 24 hours earlier, and we demonstrate that TBI rapidly induces sustained interleukin-110 (IL-10) generation from B cells but not dendritic cells (DCs) or other cellular populations within the spleen. Finally, recipient mice in which B cells are unable to produce IL-10 due to homologous gene deletion develop more severe acute GVHD than recipient mice in which B cells are wild type. Thus, the induction of IL-10 in host B cells during conditioning attenuates experimental acute GVHD.