A knowledge based framework to support active aging at home based environments

Information and Communication Technologies can support Active Aging strategies in a scenario like the Smart Home. This paper details a person centered distributed framework, called TALISMAN+, whose aim is to promote personal autonomy by taking advantage of knowledge based technologies, sensors networks, mobile devices and internet. The proposed solution can support an elderly person to keep living alone at his house without being obliged to move to a residential center. The framework is composed by five subsystems: a reasoning module that is able to take local decisions at home in order to support active aging, a biomedical variables telemonitorisation platform running on a mobile device, a hybrid reasoning middleware aimed to assess cardiovascular risk in a remote way, a private vision based sensor subsystem, and a secure telematics solution that guarantees confidentiality for personal information. TALISMAN+ framework deployment is being evaluated at a real environment like the Accessible Digital Home.

Optimized HOG for on-road video based vehicle verification

Vision-based object detection from a moving platform becomes particularly challenging in the field of advanced driver assistance systems (ADAS). In this context, onboard vision-based vehicle verification strategies become critical, facing challenges derived from the variability of vehicles appearance, illumination, and vehicle speed. In this paper, an optimized HOG configuration for onboard vehicle verification is proposed which not only considers its spatial and orientation resolution, but descriptor processing strategies and classification. An in-depth analysis of the optimal settings for HOG for onboard vehicle verification is presented, in the context of SVM classification with different kernels. In contrast to many existing approaches, the evaluation is realized in a public and heterogeneous database of vehicle and non-vehicle images in different areas of the road, rendering excellent verification rates that outperform other similar approaches in the literature.

Human-computer interaction based on visual hand-gesture recognition using volumetric spatiograms of local binary patterns

A more natural, intuitive, user-friendly, and less intrusive Human–Computer interface for controlling an application by executing hand gestures is presented. For this purpose, a robust vision-based hand-gesture recognition system has been developed, and a new database has been created to test it. The system is divided into three stages: detection, tracking, and recognition. The detection stage searches in every frame of a video sequence potential hand poses using a binary Support Vector Machine classifier and Local Binary Patterns as feature vectors. These detections are employed as input of a tracker to generate a spatio-temporal trajectory of hand poses. Finally, the recognition stage segments a spatio-temporal volume of data using the obtained trajectories, and compute a video descriptor called Volumetric Spatiograms of Local Binary Patterns (VS-LBP), which is delivered to a bank of SVM classifiers to perform the gesture recognition. The VS-LBP is a novel video descriptor that constitutes one of the most important contributions of the paper, which is able to provide much richer spatio-temporal information than other existing approaches in the state of the art with a manageable computational cost. Excellent results have been obtained outperforming other approaches of the state of the art.

Road environment modeling using robust perspective analysis and recursive Bayesian segmentation

Recently, vision-based advanced driver-assistance systems (ADAS) have received a new increased interest to enhance driving safety. In particular, due to its high performance–cost ratio, mono-camera systems are arising as the main focus of this field of work. In this paper we present a novel on-board road modeling and vehicle detection system, which is a part of the result of the European I-WAY project. The system relies on a robust estimation of the perspective of the scene, which adapts to the dynamics of the vehicle and generates a stabilized rectified image of the road plane. This rectified plane is used by a recursive Bayesian classi- fier, which classifies pixels as belonging to different classes corresponding to the elements of interest of the scenario. This stage works as an intermediate layer that isolates subsequent modules since it absorbs the inherent variability of the scene. The system has been tested on-road, in different scenarios, including varied illumination and adverse weather conditions, and the results have been proved to be remarkable even for such complex scenarios.

Metodologías de modelado, monitorización y asistencia robótica en neurorrehabilitación funcional de extremidad superior

La Organización Mundial de la Salud (OMS) prevé que para el año 2020, el Daño Cerebral Adquirido (DCA) estará entre las 10 causas más comunes de discapacidad. Estas lesiones, dadas sus consecuencias físicas, sensoriales, cognitivas, emocionales y socioeconómicas, cambian dramáticamente la vida de los pacientes y sus familias. Las nuevas técnicas de intervención precoz y el desarrollo de la medicina intensiva en la atención al DCA han mejorado notablemente la probabilidad de supervivencia. Sin embargo, hoy por hoy, las lesiones cerebrales no tienen ningún tratamiento quirúrgico que tenga por objetivo restablecer la funcionalidad perdida, sino que las terapias rehabilitadoras se dirigen hacia la compensación de los déficits producidos. Uno de los objetivos principales de la neurorrehabilitación es, por tanto, dotar al paciente de la capacidad necesaria para ejecutar las Actividades de Vida Diaria (AVDs) necesarias para desarrollar una vida independiente, siendo fundamentales aquellas en las que la Extremidad Superior (ES) está directamente implicada, dada su gran importancia a la hora de la manipulación de objetos. Con la incorporación de nuevas soluciones tecnológicas al proceso de neurorrehabilitación se pretende alcanzar un nuevo paradigma centrado en ofrecer una práctica personalizada, monitorizada y ubicua con una valoración continua de la eficacia y de la eficiencia de los procedimientos y con capacidad de generar conocimientos que impulsen la ruptura del paradigma de actual. Los nuevos objetivos consistirán en minimizar el impacto de las enfermedades que afectan a la capacidad funcional de las personas, disminuir el tiempo de incapacidad y permitir una gestión más eficiente de los recursos. Estos objetivos clínicos, de gran impacto socio-económico, sólo pueden alcanzarse desde una apuesta decidida en nuevas tecnologías, metodologías y algoritmos capaces de ocasionar la ruptura tecnológica necesaria que permita superar las barreras que hasta el momento han impedido la penetración tecnológica en el campo de la rehabilitación de manera universal. De esta forma, los trabajos y resultados alcanzados en la Tesis son los siguientes: 1. Modelado de AVDs: como paso previo a la incorporación de ayudas tecnológicas al proceso rehabilitador, se hace necesaria una primera fase de modelado y formalización del conocimiento asociado a la ejecución de las actividades que se realizan como parte de la terapia. En particular, las tareas más complejas y a su vez con mayor repercusión terapéutica son las AVDs, cuya formalización permitirá disponer de modelos de movimiento sanos que actuarán de referencia para futuros desarrollos tecnológicos dirigidos a personas con DCA. Siguiendo una metodología basada en diagramas de estados UML se han modelado las AVDs 'servir agua de una jarra' y 'coger un botella' 2. Monitorización ubícua del movimiento de la ES: se ha diseñado, desarrollado y validado un sistema de adquisición de movimiento basado en tecnología inercial que mejora las limitaciones de los dispositivos comerciales actuales (coste muy elevado e incapacidad para trabajar en entornos no controlados); los altos coeficientes de correlación y los bajos niveles de error obtenidos en los corregistros llevados a cabo con el sistema comercial BTS SMART-D demuestran la alta precisión del sistema. También se ha realizado un trabajo de investigación exploratorio de un sistema de captura de movimiento de coste muy reducido basado en visión estereoscópica, habiéndose detectado los puntos clave donde se hace necesario incidir desde un punto de vista tecnológico para su incorporación en un entorno real 3. Resolución del Problema Cinemático Inverso (PCI): se ha diseñado, desarrollado y validado una solución al PCI cuando el manipulador se corresponde con una ES humana estudiándose 2 posibles alternativas, una basada en la utilización de un Perceptrón Multicapa (PMC) y otra basada en sistemas Artificial Neuro-Fuzzy Inference Systems (ANFIS). La validación, llevada a cabo utilizando información relativa a los modelos disponibles de AVDs, indica que una solución basada en un PMC con 3 neuronas en la capa de entrada, una capa oculta también de 3 neuronas y una capa de salida con tantas neuronas como Grados de Libertad (GdLs) tenga el modelo de la ES, proporciona resultados, tanto de precisión como de tiempo de cálculo, que la hacen idónea para trabajar en sistemas con requisitos de tiempo real 4. Control inteligente assisted-as-needed: se ha diseñado, desarrollado y validado un algoritmo de control assisted-as-needed para una ortesis robótica con capacidades de actuación anticipatoria de la que existe un prototipo implementado en la actualidad. Los resultados obtenidos demuestran cómo el sistema es capaz de adaptarse al perfil disfuncional del paciente activando la ayuda en instantes anteriores a la ocurrencia de movimientos incorrectos. Esta estrategia implica un aumento en la participación del paciente y, por tanto, en su actividad muscular, fomentándose los procesos la plasticidad cerebral responsables del reaprendizaje o readaptación motora 5. Simuladores robóticos para planificación: se propone la utilización de un simulador robótico assisted-as-needed como herramienta de planificación de sesiones de rehabilitación personalizadas y con un objetivo clínico marcado en las que interviene una ortesis robotizada. Los resultados obtenidos evidencian como, tras la ejecución de ciertos algoritmos sencillos, es posible seleccionar automáticamente una configuración para el algoritmo de control assisted-as-needed que consigue que la ortesis se adapte a los criterios establecidos desde un punto de vista clínico en función del paciente estudiado. Estos resultados invitan a profundizar en el desarrollo de algoritmos más avanzados de selección de parámetros a partir de baterías de simulaciones Estos trabajos han servido para corroborar las hipótesis de investigación planteadas al inicio de la misma, permitiendo, asimismo, la apertura de nuevas líneas de investigación. Summary The World Health Organization (WHO) predicts that by the year 2020, Acquired Brain Injury (ABI) will be among the ten most common ailments. These injuries dramatically change the life of the patients and their families due to their physical, sensory, cognitive, emotional and socio-economic consequences. New techniques of early intervention and the development of intensive ABI care have noticeably improved the survival rate. However, in spite of these advances, brain injuries still have no surgical or pharmacological treatment to re-establish the lost functions. Neurorehabilitation therapies address this problem by restoring, minimizing or compensating the functional alterations in a person disabled because of a nervous system injury. One of the main objectives of Neurorehabilitation is to provide patients with the capacity to perform specific Activities of the Daily Life (ADL) required for an independent life, especially those in which the Upper Limb (UL) is directly involved due to its great importance in manipulating objects within the patients' environment. The incorporation of new technological aids to the neurorehabilitation process tries to reach a new paradigm focused on offering a personalized, monitored and ubiquitous practise with continuous assessment of both the efficacy and the efficiency of the procedures and with the capacity of generating new knowledge. New targets will be to minimize the impact of the sicknesses affecting the functional capabilitiies of the subjects, to decrease the time of the physical handicap and to allow a more efficient resources handling. These targets, of a great socio-economic impact, can only be achieved by means of new technologies and algorithms able to provoke the technological break needed to beat the barriers that are stopping the universal penetration of the technology in the field of rehabilitation. In this way, this PhD Thesis has achieved the following results: 1. ADL Modeling: as a previous step to the incorporation of technological aids to the neurorehabilitation process, it is necessary a first modelling and formalization phase of the knowledge associated to the execution of the activities that are performed as a part of the therapy. In particular, the most complex and therapeutically relevant tasks are the ADLs, whose formalization will produce healthy motion models to be used as a reference for future technological developments. Following a methodology based on UML state-chart diagrams, the ADLs 'serving water from a jar' and 'picking up a bottle' have been modelled 2. Ubiquitous monitoring of the UL movement: it has been designed, developed and validated a motion acquisition system based on inertial technology that improves the limitations of the current devices (high monetary cost and inability of working within uncontrolled environments); the high correlation coefficients and the low error levels obtained throughout several co-registration sessions with the commercial sys- tem BTS SMART-D show the high precision of the system. Besides an exploration of a very low cost stereoscopic vision-based motion capture system has been carried out and the key points where it is necessary to insist from a technological point of view have been detected 3. Inverse Kinematics (IK) problem solving: a solution to the IK problem has been proposed for a manipulator that corresponds to a human UL. This solution has been faced by means of two different alternatives, one based on a Mulilayer Perceptron (MLP) and another based on Artificial Neuro-Fuzzy Inference Systems (ANFIS). The validation of these solutions, carried out using the information regarding the previously generated motion models, indicate that a MLP-based solution, with an architecture consisting in 3 neurons in the input layer, one hidden layer of 3 neurons and an output layer with as many neurons as the number of Degrees of Freedom (DoFs) that the UL model has, is the one that provides the best results both in terms of precission and in terms of processing time, making in idoneous to be integrated within a system with real time restrictions 4. Assisted-as-needed intelligent control: an assisted-as-needed control algorithm with anticipatory actuation capabilities has been designed, developed and validated for a robotic orthosis of which there is an already implemented prototype. Obtained results demonstrate that the control system is able to adapt to the dysfunctional profile of the patient by triggering the assistance right before an incorrect movement is going to take place. This strategy implies an increase in the participation of the patients and in his or her muscle activity, encouraging the neural plasticity processes in charge of the motor learning 5. Planification with a robotic simulator: in this work a robotic simulator is proposed as a planification tool for personalized rehabilitation sessions under a certain clinical criterium. Obtained results indicate that, after the execution of simple parameter selection algorithms, it is possible to automatically choose a specific configuration that makes the assisted-as-needed control algorithm to adapt both to the clinical criteria and to the patient. These results invite researchers to work in the development of more complex parameter selection algorithms departing from simulation batteries Obtained results have been useful to corroborate the hypotheses set out at the beginning of this PhD Thesis. Besides, they have allowed the creation of new research lines in all the studied application fields.

Rebalancing urban mobility: a tale of four cities

The key of mobility in urban planning is not in dispute. Integrated strategies that take into account the interrelations among land use, transport supply and demand and the different transportation modes are more necessary than ever. In Europe, regulatory tools such as local mobility plans or traffic plans have been enforced for a long time, evolving into so-called sustainable urban transport plans (SUTP) ? that is, plans thatmerge urban planning,mobility governance, social awareness and environmental safeguards to develop a vision based on sustainability and equity. Indeed, SUTP are aimed at solving typical problems in current land use, such as urban sprawl, which make clear the need for a paradigm shift from transport (or mobility) planning to land use (or city) planning, thereby producing urban mobility plans that are fully aligned with integrated urban development plans. This paper describes how SUTP are articulated across Europe according to four case studies: Peterborough (UK), Chambe¿ry (France), Ferrara (Italy) and Pinto (Spain), to highlight variations and commonalities, both among the four national legal frameworks and the actual planning processes at the local level. Objectives, measures and indicators used in the monitoring and evaluation phases have been analysed and the results assessed. The main conclusion of the paper is that, as seen in these real-life examples, the lack of integration between spatial planning and transport strategies results in the unsustainability of urban areas and, therefore, in a significant loss of competitiveness.

Discriminating Crop, Weeds and Soil Surface with a Terrestrial LIDAR Sensor

In this study, the evaluation of the accuracy and performance of a light detection and ranging (LIDAR) sensor for vegetation using distance and reflection measurements aiming to detect and discriminate maize plants and weeds from soil surface was done. The study continues a previous work carried out in a maize field in Spain with a LIDAR sensor using exclusively one index, the height profile. The current system uses a combination of the two mentioned indexes. The experiment was carried out in a maize field at growth stage 12–14, at 16 different locations selected to represent the widest possible density of three weeds: Echinochloa crus-galli (L.) P.Beauv., Lamium purpureum L., Galium aparine L.and Veronica persica Poir.. A terrestrial LIDAR sensor was mounted on a tripod pointing to the inter-row area, with its horizontal axis and the field of view pointing vertically downwards to the ground, scanning a vertical plane with the potential presence of vegetation. Immediately after the LIDAR data acquisition (distances and reflection measurements), actual heights of plants were estimated using an appropriate methodology. For that purpose, digital images were taken of each sampled area. Data showed a high correlation between LIDAR measured height and actual plant heights (R 2 = 0.75). Binary logistic regression between weed presence/absence and the sensor readings (LIDAR height and reflection values) was used to validate the accuracy of the sensor. This permitted the discrimination of vegetation from the ground with an accuracy of up to 95%. In addition, a Canonical Discrimination Analysis (CDA) was able to discriminate mostly between soil and vegetation and, to a far lesser extent, between crop and weeds. The studied methodology arises as a good system for weed detection, which in combination with other principles, such as vision-based technologies, could improve the efficiency and accuracy of herbicide spraying.

Teoría y práctica de la restauración de la Mezquita-Catedral de Córdoba durante el siglo XX

La Mezquita-Catedral de Córdoba es un edificio vivo. Un edificio que ha sido transformado sucesivamente por hombres de razas, culturas y religiones distintas durante sus más de 1.200 años de vida y que, a pesar de ello, no ha dejado de estar en uso ni uno solo de esos días de esa larga vida. De esta forma, el edificio se muestra ante el visitante como un complejo objeto arquitectónico, resultado de una continua transformación. La capacidad de la transformación de los edificios es algo inherente a su propia condición arquitectónica, no es un hecho exclusivo de la Mezquita-Catedral. Sin embargo, en este edificio esa transformación se produce con una gran intensidad y sin pérdida de su autenticidad. Tradicionalmente, los edificios se han adaptado a los nuevos requerimientos de cada época en un proceso que ha buscado en el propio edificio las leyes o principios que habían de regir la intervención. De esta forma, tanto las sucesivas ampliaciones de la Mezquita de Abd al-Rahman I como las siguientes intervenciones cristianas debieron asumir lo preexistente como material de trabajo. Así, los arquitectos del califa al-Hakam II dialogaron con sus antecesores complejizando el espacio que recibieron, así como los Hernán Ruiz consiguieron un nuevo organismo resultante de la introducción de su arquitectura luminosa en la trama hispanomusulmana. El siglo XIX confirmó el deseo por descubrir las huellas de un pasado esplendoroso que la intervención barroca había silenciado bajo un tratamiento homogéneo del espacio. La recuperación de esas huellas supuso, hace exactamente dos siglos, el inicio de la última gran etapa en la transformación del edificio, la de la restauración. La fábrica es considerada como objeto a conservar y los esfuerzos desde ese momento se centraron en la recuperación de la arquitectura omeya latente. De este modo, la práctica de la restauración como disciplina se encontró absolutamente influenciada por la Arqueología como única fuente de conocimiento. Las intervenciones buscaban lo original como modo de recuperar espacial y formalmente aquel pasado, concentrándose en los lugares del edificio considerados como esenciales. La declaración del edificio como monumento nacional en 1882 propició que el Estado se hiciera cargo de su mantenimiento y conservación, sustituyendo en esa tarea a los Obispos y Cabildos del siglo XIX, que tuvieron un entendimiento muy avanzado para su época. La llegada del arquitecto Velázquez Bosco en las últimas décadas del siglo XIX supuso un cambio trascendental en la historia del edificio, puesto que recibió un edificio con importantes deterioros y consiguió poner las bases del edificio que hoy contemplamos. El empeño por la recuperación material y espacial devolvió a la Mezquita-Catedral buena parte de su imagen original, reproduciendo con exactitud los modelos hallados en las exploraciones arqueológicas. La llegada de Antonio Flórez tras la muerte de Velázquez Bosco supuso la traslación al edificio del debate disciplinar que se desarrolló en las dos primeras décadas del siglo XX. Flórez procuró un nuevo entendimiento de la intervención, considerando la conservación como actuación prioritaria. En 1926 el Estado reformó la manera en que se atendía al patrimonio con la creación de un sistema de zonas y unos arquitectos a cargo de ellas. La existencia de un nuevo marco legislativo apuntaló esa nueva visión conservativa, avalada por la Carta de Atenas de 1931. Este modelo restauración científica huía de la intervención en estilo y valoraba la necesidad de intervenir de la manera más escueta posible y con un lenguaje diferenciado, basándose en los datos que ofrecía la Arqueología. Por tanto, se continuaba con la valoración del edificio como documento histórico, buscando en este caso una imagen diferenciada de la intervención frente a la actitud mimética de Velázquez. Resulta destacable la manera en la que el historiador Manuel Gómez-Moreno influyó en varias generaciones de arquitectos, arqueólogos e historiadores, tanto en el entendimiento científico de la restauración como en la propia estructura administrativa. La labor desarrollada en el edificio por José Mª Rodríguez Cano primero y Félix Hernández a continuación estuvo influida de manera teórica por el método de Gómez-Moreno, aunque en muchos aspectos su labor no representó una gran diferencia con lo hecho por Velázquez Bosco. La búsqueda de lo original volvió a ser recurrente, pero la carga económica del mantenimiento de un edificio tan extenso conllevó la no realización de muchos de los proyectos más ambiciosos. Esta obsesiva búsqueda de la imagen original del edificio tuvo su última y anacrónica etapa con la intervención de la Dirección General de Arquitectura en los 70. Sin embargo, el agotamiento del modelo científico ya había propiciado un nuevo escenario a nivel europeo, que cristalizó en la Carta de Venecia de 1964 y en una nueva definición del objeto a preservar, más allá del valor como documento histórico. Esta nueva posición teórica tuvo su traslación al modelo restaurador español en el último cuarto de siglo XX, coincidiendo con la Transición. El arquitecto Dionisio Hernández Gil defendió una interpretación distinta a la de los arqueólogos y de los historiadores, que había prevalecido durante todo el siglo. En opinión de Hernández Gil, los problemas de intervención debían enfocarse fundamentalmente como problemas de Arquitectura, abandonando la idea de que solamente podían ser resueltos por especialistas. Esta convicción teórica fue defendida desde la nueva Administración y deparó la utilización de unos criterios de intervención particularizados, provenientes del análisis multifocal de cada situación y no sólo desde el valor de los edificios como documentos históricos. Y este cambio tuvo su traslación a la Mezquita-Catedral con la práctica de Gabriel Ruiz Cabrero y Gabriel Rebollo. En consecuencia con esa nueva perspectiva, aceptaron el edificio que recibieron, sustituyendo la búsqueda de aquella página original por la aceptación de cada una de las páginas de su historia y el respeto a las técnicas constructivas del pasado. La búsqueda de soluciones específicas desde el propio objeto arquitectónico significó la renovada atención a la potente estructura formal-constructiva como origen de toda reflexión. Considerar la Mezquita-Catedral en primer lugar como Arquitectura implicaba la atención a todo tipo de factores además de los históricos, como medio para preservar su autenticidad. Esta tesis pretende demostrar que la práctica de la restauración realizada en la Mezquita-Catedral a lo largo del siglo XX ha evolucionado desde la búsqueda de lo original hasta la búsqueda de lo auténtico, como reflejo de una visión basada en lo arqueológico frente a una renovada visión arquitectónica más completa, que incluye a la anterior. La consideración de la intervención en este edificio como otra página más de su historia y no como la última, significa la reedición de un mecanismo recurrente en la vida del edificio y un nuevo impulso en ese proceso de continua transformación. ABSTRACT The Mosque-Cathedral of Cordoba is a living building. A building transformed by men of different races, cultures and religions during more than 1.200 years old and that, nevertheless, it has continued to be in use all days in that long life. Thus, the building shows to the visitor as a complex architectural object, the result of continuous transformation. This transformation capacity of the buildings is inherent in their own architectural condition, it’s not an exclusive fact of the Mosque-Cathedral. However, in this building that transformation happens with a great intensity, without losing their authenticity. Traditionally, buildings have been adapted to the new requirements of times in a process that looked for laws or principles in order to guide the intervention. Thus, both the successive enlargements of the Mosque of Abd al-Rahman and Christian interventions must assume the preexistence as a working material. So, the architects of the caliph al-Hakam II spoke to their predecessors, complexing the receiving space, as well as Hernan Ruiz got a new organism as result the introduction of his luminous architecture into hispanic-muslim weft. The nineteenth century confirmed the desire to discover the traces of a glorious past that Baroque intervention had silenced, under a uniform space treatment. Exactly two centuries ago, the recovery of these traces meant the start of the last major phase in the transformation of the building: the restoration. The building was considered subject to conserve and since then, efforts focused on the recovery of latent Umayyad architecture. Thus, the practice of restoration as a discipline was absolutely influenced by Archaeology as the only source of knowledge. Interventions were seeking the original as the way to recover that past in a space and formal way, concentrating on essential sites of the building. The statement as a national monument in 1882 prompted the State take charge of its maintenance and preservation, replacing to the nineteenth century Bishops and Cabildos, which had a very advanced understanding for that time. The arrival of the architect Velazquez Bosco in the last decades of the nineteenth century involved a momentous change in the history of the building, since he received a building with significant damage and he achieved the foundations of the building that we can see today. Efforts to a material and space recover returned the Mosque-Cathedral to its original image, accurately reproducing the models found in archaeological explorations. The arrival of Antonio Florez after Velazquez’s death involved the translation of discipline debate, which was developed in the first two decades of the twentieth century. Florez tried a new understanding of the intervention, considering conservation as a priority action. In 1926, the State reformed the way in which heritage was attended, creating a zones system with a few architects in charge of them. The existence of a new legislative framework, underpinned this new conservative vision, supported by the Athens Charter of 1931. This scientific restoration model fleeing from intervention in style and it appreciated the need to intervene in the most concise way, with a distinct language based on the data offered by Archaeology. Therefore, it continued with the appraisement of the building as a historical document, seeking in this case a differentiated image of intervention, against Velazquez mimetic attitude. It is remarkable the way in which the historian Manuel Gomez-Moreno influenced several generations of architects, archaeologists and historians, both in the scientific understanding of the restoration and the administrative structure. The work of Jose Maria Rodriguez Cano first and then Felix Hernandez was theoretically influenced by the Gomez-Moreno’s method, although in many respects their work did not represent a great difference to Velazquez Bosco. The search of the original returned to recur, but the economic charge of maintaining such a large building led to the non-realization of many of the most ambitious projects. This obsessive search for the original image of the building had its last and anachronistic stage with the intervention of the Department of Architecture at 70’s. However, the exhaustion of the scientific model had already led to a new scenario at European level, which crystallized in the Venice Charter of 1964 and a new definition of the object to be preserved beyond the value as a historical document. This new theoretical position had its translation to Spanish restaurateur model in the last quarter of the twentieth century, coinciding with the Transition. The architect Dionisio Hernandez Gil defended a different interpretation from archaeologists and historians, that had prevailed throughout the century. According to Hernandez Gil, the problems of intervention should focus primarily as architectural issues, abandoning the idea that they could only be determined by specialist. This theoretical conviction was defended from the new administration and led to the use of particularized criteria, from a multifocal analysis of each situation. And this change had its translation to the Mosque with the practice of Gabriel Ruiz Cabrero and Gabriel Rebollo. Consistent with this new perspective, they accepted the receiving building, replacing the search on original page for acceptance of all historical pages and respecting the constructive techniques of the past. The search for specific solutions from the architectural object meant the renewed attention to the powerful formal-constructive structure as the origin of all thought. Consider the Mosque-Cathedral as Architecture, involved the attention to all kinds of factors in addition to the historical, as a means to preserve its authenticity. This thesis aims to demonstrate that the practice of restoration in the Mosque-Cathedral throughout the twentieth century has evolved from the search of the original to the search for the authentic, reflecting a vision based on the archaeological against a renewed more complete architectural vision, including the above. Consideration of intervention in this building as another page in its history and not the last one, means the reissue of an own mechanism and a new impetus in that continuous transformation process.

Comparison of natural and forced amplification regimes in plasma-based soft-x-ray lasers seeded by high-order harmonic

The amplification of high-order harmonics (HOH) in a plasma-based amplifier is a multiscale, temporal phenomenon that couples plasma hydrodynamics, atomic processes, and HOH electromagnetic fields. We use a one-dimensional, time-dependent Maxwell-Bloch code to compare the natural amplification regime and another regime where plasma polarization is constantly forced by the HOH. In this regime, a 10-MW (i.e., 100 times higher than current seeded soft x-ray laser power), 1.5-μJ, 140-fs pulse free from the parasitic temporal structures appearing on the natural amplification regime can be obtained.

Network convergence and QoS for future multimedia services in the VISION project

The emerging use of real-time 3D-based multimedia applications imposes strict quality of service (QoS) requirements on both access and core networks. These requirements and their impact to provide end-to-end 3D videoconferencing services have been studied within the Spanish-funded VISION project, where different scenarios were implemented showing an agile stereoscopic video call that might be offered to the general public in the near future. In view of the requirements, we designed an integrated access and core converged network architecture which provides the requested QoS to end-to-end IP sessions. Novel functional blocks are proposed to control core optical networks, the functionality of the standard ones is redefined, and the signaling improved to better meet the requirements of future multimedia services. An experimental test-bed to assess the feasibility of the solution was also deployed. In such test-bed, set-up and release of end-to-end sessions meeting specific QoS requirements are shown and the impact of QoS degradation in terms of the user perceived quality degradation is quantified. In addition, scalability results show that the proposed signaling architecture is able to cope with large number of requests introducing almost negligible delay.

Enhancing skills in solving open-ended problems using game-based exercises

Some requirements for engineering programmes, such as an ability to use the techniques, skills and modern engineering tools necessary for engineering practice, as well as an understanding of professional and ethical responsibility or an ability to communicate effectively, need new activities designed for measuring students’ progress. Negotiations take place continuously at any stage of a project and, so, the ability of engineers and managers to effectively carry out a negotiation is crucial for the success or failure of projects and businesses. Since it involves communication between individuals motivated to come together in an agreement for mutual benefit, it can be used to enhance these personal abilities. The main objective of this study was to evaluate the adequacy of mixing playing sessions and theory to maximise the students’ strategic vision in combination with negotiating skills. Results show that the combination of playing with theoretical training teaches students to strategise through analysis and discussion of alternatives. The outcome is then more optimised.

A graph-based approach for latency modeling and optimization in multiview video encoding

We present a novel framework for encoding latency analysis of arbitrary multiview video coding prediction structures. This framework avoids the need to consider an specific encoder architecture for encoding latency analysis by assuming an unlimited processing capacity on the multiview encoder. Under this assumption, only the influence of the prediction structure and the processing times have to be considered, and the encoding latency is solved systematically by means of a graph model. The results obtained with this model are valid for a multiview encoder with sufficient processing capacity and serve as a lower bound otherwise. Furthermore, with the objective of low latency encoder design with low penalty on rate-distortion performance, the graph model allows us to identify the prediction relationships that add higher encoding latency to the encoder. Experimental results for JMVM prediction structures illustrate how low latency prediction structures with a low rate-distortion penalty can be derived in a systematic manner using the new model.

Image Segmentation Using Ant System-based Clustering Algorithm

Industrial applications of computer vision sometimes require detection of atypical objects that occur as small groups of pixels in digital images. These objects are difficult to single out because they are small and randomly distributed. In this work we propose an image segmentation method using the novel Ant System-based Clustering Algorithm (ASCA). ASCA models the foraging behaviour of ants, which move through the data space searching for high data-density regions, and leave pheromone trails on their path. The pheromone map is used to identify the exact number of clusters, and assign the pixels to these clusters using the pheromone gradient. We applied ASCA to detection of microcalcifications in digital mammograms and compared its performance with state-of-the-art clustering algorithms such as 1D Self-Organizing Map, k-Means, Fuzzy c-Means and Possibilistic Fuzzy c-Means. The main advantage of ASCA is that the number of clusters needs not to be known a priori. The experimental results show that ASCA is more efficient than the other algorithms in detecting small clusters of atypical data.

A computer vision approach for weeds identification through Support Vector Machines

This paper outlines an automatic computervision system for the identification of avena sterilis which is a special weed seed growing in cereal crops. The final goal is to reduce the quantity of herbicide to be sprayed as an important and necessary step for precision agriculture. So, only areas where the presence of weeds is important should be sprayed. The main problems for the identification of this kind of weed are its similar spectral signature with respect the crops and also its irregular distribution in the field. It has been designed a new strategy involving two processes: image segmentation and decision making. The image segmentation combines basic suitable image processing techniques in order to extract cells from the image as the low level units. Each cell is described by two area-based attributes measuring the relations among the crops and weeds. The decision making is based on the SupportVectorMachines and determines if a cell must be sprayed. The main findings of this paper are reflected in the combination of the segmentation and the SupportVectorMachines decision processes. Another important contribution of this approach is the minimum requirements of the system in terms of memory and computation power if compared with other previous works. The performance of the method is illustrated by comparative analysis against some existing strategies.

Discernment of bee pollen loads using computer vision and one-class classification techniques

In this paper, we propose a system for authenticating local bee pollen against fraudulent samples using image processing and classification techniques. Our system is based on the colour properties of bee pollen loads and the use of one-class classifiers to reject unknown pollen samples. The latter classification techniques allow us to tackle the major difficulty of the problem, the existence of many possible fraudulent pollen types. Also presented is a multi-classifier model with an ambiguity discovery process to fuse the output of the one-class classifiers. The method is validated by authenticating Spanish bee pollen types, the overall accuracy of the final system of being 94%. Therefore, the system is able to rapidly reject the non-local pollen samples with inexpensive hardware and without the need to send the product to the laboratory.