Towards a Transfer Model of Scientific and Technological Knowledge: the Case of Mexico

This paper shows the development of a science-technological knowledge transfer model in Mexico, as a means to boost the limited relations between the scientific and industrial environments. The proposal is based on the analysis of eight organizations (research centers and firms) with varying degrees of skill in the practice of science-technological knowledge transfer, and carried out by the case study approach. The analysis highlights the synergistic use of the organizational and technological capabilities of each organization, as a means to identification of the knowledge transfer mechanisms best suited to enabling the establishment of cooperative processes, and achieve the R&D and innovation activities results.

Proposal of a trust and reputation model to provide recommendation in open quality oriented environments

El auge y penetración de las nuevas tecnologías junto con la llamada Web Social están cambiando la forma en la que accedemos a la medicina. Cada vez más pacientes y profesionales de la medicina están creando y consumiendo recursos digitales de contenido clínico a través de Internet, surgiendo el problema de cómo asegurar la fiabilidad de estos recursos. Además, un nuevo concepto está apareciendo, el de pervasive healthcare o sanidad ubicua, motivado por pacientes que demandan un acceso a los servicios sanitarios en todo momento y en todo lugar. Este nuevo escenario lleva aparejado un problema de confianza en los proveedores de servicios sanitarios. Las plataformas de eLearning se están erigiendo como paradigma de esta nueva Medicina 2.0 ya que proveen un servicio abierto a la vez que controlado/supervisado a recursos digitales, y facilitan las interacciones y consultas entre usuarios, suponiendo una buena aproximación para esta sanidad ubicua. En estos entornos los problemas de fiabilidad y confianza pueden ser solventados mediante la implementación de mecanismos de recomendación de recursos y personas de manera confiable. Tradicionalmente las plataformas de eLearning ya cuentan con mecanismos de recomendación, si bien están más enfocados a la recomendación de recursos. Para la recomendación de usuarios es necesario acudir a mecanismos más elaborados como son los sistemas de confianza y reputación (trust and reputation) En ambos casos, tanto la recomendación de recursos como el cálculo de la reputación de los usuarios se realiza teniendo en cuenta criterios principalmente subjetivos como son las opiniones de los usuarios. En esta tesis doctoral proponemos un nuevo modelo de confianza y reputación que combina evaluaciones automáticas de los recursos digitales en una plataforma de eLearning, con las opiniones vertidas por los usuarios como resultado de las interacciones con otros usuarios o después de consumir un recurso. El enfoque seguido presenta la novedad de la combinación de una parte objetiva con otra subjetiva, persiguiendo mitigar el efecto de posibles castigos subjetivos por parte de usuarios malintencionados, a la vez que enriquecer las evaluaciones objetivas con información adicional acerca de la capacidad pedagógica del recurso o de la persona. El resultado son recomendaciones siempre adaptadas a los requisitos de los usuarios, y de la máxima calidad tanto técnica como educativa. Esta nueva aproximación requiere una nueva herramienta para su validación in-silico, al no existir ninguna aplicación que permita la simulación de plataformas de eLearning con mecanismos de recomendación de recursos y personas, donde además los recursos sean evaluados objetivamente. Este trabajo de investigación propone pues una nueva herramienta, basada en el paradigma de programación orientada a agentes inteligentes para el modelado de comportamientos complejos de usuarios en plataformas de eLearning. Además, la herramienta permite también la simulación del funcionamiento de este tipo de entornos dedicados al intercambio de conocimiento. La evaluación del trabajo propuesto en este documento de tesis se ha realizado de manera iterativa a lo largo de diferentes escenarios en los que se ha situado al sistema frente a una amplia gama de comportamientos de usuarios. Se ha comparado el rendimiento del modelo de confianza y reputación propuesto frente a dos modos de recomendación tradicionales: a) utilizando sólo las opiniones subjetivas de los usuarios para el cálculo de la reputación y por extensión la recomendación; y b) teniendo en cuenta sólo la calidad objetiva del recurso sin hacer ningún cálculo de reputación. Los resultados obtenidos nos permiten afirmar que el modelo desarrollado mejora la recomendación ofrecida por las aproximaciones tradicionales, mostrando una mayor flexibilidad y capacidad de adaptación a diferentes situaciones. Además, el modelo propuesto es capaz de asegurar la recomendación de nuevos usuarios entrando al sistema frente a la nula recomendación para estos usuarios presentada por el modo de recomendación predominante en otras plataformas que basan la recomendación sólo en las opiniones de otros usuarios. Por último, el paradigma de agentes inteligentes ha probado su valía a la hora de modelar plataformas virtuales complejas orientadas al intercambio de conocimiento, especialmente a la hora de modelar y simular el comportamiento de los usuarios de estos entornos. La herramienta de simulación desarrollada ha permitido la evaluación del modelo de confianza y reputación propuesto en esta tesis en una amplia gama de situaciones diferentes. ABSTRACT Internet is changing everything, and this revolution is especially present in traditionally offline spaces such as medicine. In recent years health consumers and health service providers are actively creating and consuming Web contents stimulated by the emergence of the Social Web. Reliability stands out as the main concern when accessing the overwhelming amount of information available online. Along with this new way of accessing the medicine, new concepts like ubiquitous or pervasive healthcare are appearing. Trustworthiness assessment is gaining relevance: open health provisioning systems require mechanisms that help evaluating individuals’ reputation in pursuit of introducing safety to these open and dynamic environments. Technical Enhanced Learning (TEL) -commonly known as eLearning- platforms arise as a paradigm of this Medicine 2.0. They provide an open while controlled/supervised access to resources generated and shared by users, enhancing what it is being called informal learning. TEL systems also facilitate direct interactions amongst users for consultation, resulting in a good approach to ubiquitous healthcare. The aforementioned reliability and trustworthiness problems can be faced by the implementation of mechanisms for the trusted recommendation of both resources and healthcare services providers. Traditionally, eLearning platforms already integrate recommendation mechanisms, although this recommendations are basically focused on providing an ordered classifications of resources. For users’ recommendation, the implementation of trust and reputation systems appears as the best solution. Nevertheless, both approaches base the recommendation on the information from the subjective opinions of other users of the platform regarding the resources or the users. In this PhD work a novel approach is presented for the recommendation of both resources and users within open environments focused on knowledge exchange, as it is the case of TEL systems for ubiquitous healthcare. The proposed solution adds the objective evaluation of the resources to the traditional subjective personal opinions to estimate the reputation of the resources and of the users of the system. This combined measure, along with the reliability of that calculation, is used to provide trusted recommendations. The integration of opinions and evaluations, subjective and objective, allows the model to defend itself against misbehaviours. Furthermore, it also allows ‘colouring’ cold evaluation values by providing additional quality information such as the educational capacities of a digital resource in an eLearning system. As a result, the recommendations are always adapted to user requirements, and of the maximum technical and educational quality. To our knowledge, the combination of objective assessments and subjective opinions to provide recommendation has not been considered before in the literature. Therefore, for the evaluation of the trust and reputation model defined in this PhD thesis, a new simulation tool will be developed following the agent-oriented programming paradigm. The multi-agent approach allows an easy modelling of independent and proactive behaviours for the simulation of users of the system, conforming a faithful resemblance of real users of TEL platforms. For the evaluation of the proposed work, an iterative approach have been followed, testing the performance of the trust and reputation model while providing recommendation in a varied range of scenarios. A comparison with two traditional recommendation mechanisms was performed: a) using only users’ past opinions about a resource and/or other users; and b) not using any reputation assessment and providing the recommendation considering directly the objective quality of the resources. The results show that the developed model improves traditional approaches at providing recommendations in Technology Enhanced Learning (TEL) platforms, presenting a higher adaptability to different situations, whereas traditional approaches only have good results under favourable conditions. Furthermore the promotion period mechanism implemented successfully helps new users in the system to be recommended for direct interactions as well as the resources created by them. On the contrary OnlyOpinions fails completely and new users are never recommended, while traditional approaches only work partially. Finally, the agent-oriented programming (AOP) paradigm has proven its validity at modelling users’ behaviours in TEL platforms. Intelligent software agents’ characteristics matched the main requirements of the simulation tool. The proactivity, sociability and adaptability of the developed agents allowed reproducing real users’ actions and attitudes through the diverse situations defined in the evaluation framework. The result were independent users, accessing to different resources and communicating amongst them to fulfil their needs, basing these interactions on the recommendations provided by the reputation engine.

An Efficient Multiple Object Detection and Tracking Framework for Automatic Counting and Video Surveillance Applications

Automatic visual object counting and video surveillance have important applications for home and business environments, such as security and management of access points. However, in order to obtain a satisfactory performance these technologies need professional and expensive hardware, complex installations and setups, and the supervision of qualified workers. In this paper, an efficient visual detection and tracking framework is proposed for the tasks of object counting and surveillance, which meets the requirements of the consumer electronics: off-the-shelf equipment, easy installation and configuration, and unsupervised working conditions. This is accomplished by a novel Bayesian tracking model that can manage multimodal distributions without explicitly computing the association between tracked objects and detections. In addition, it is robust to erroneous, distorted and missing detections. The proposed algorithm is compared with a recent work, also focused on consumer electronics, proving its superior performance.

Co-evolutionary and Reinforcement Learning Techniques Applied to Computer Go players

The objective of this thesis is model some processes from the nature as evolution and co-evolution, and proposing some techniques that can ensure that these learning process really happens and useful to solve some complex problems as Go game. The Go game is ancient and very complex game with simple rules which still is a challenge for the Artificial Intelligence. This dissertation cover some approaches that were applied to solve this problem, proposing solve this problem using competitive and cooperative co-evolutionary learning methods and other techniques proposed by the author. To study, implement and prove these methods were used some neural networks structures, a framework free available and coded many programs. The techniques proposed were coded by the author, performed many experiments to find the best configuration to ensure that co-evolution is progressing and discussed the results. Using co-evolutionary learning processes can be observed some pathologies which could impact co-evolution progress. In this dissertation is introduced some techniques to solve pathologies as loss of gradients, cycling dynamics and forgetting. According to some authors, one solution to solve these co-evolution pathologies is introduce more diversity in populations that are evolving. In this thesis is proposed some techniques to introduce more diversity and some diversity measurements for neural networks structures to monitor diversity during co-evolution. The genotype diversity evolved were analyzed in terms of its impact to global fitness of the strategies evolved and their generalization. Additionally, it was introduced a memory mechanism in the network neural structures to reinforce some strategies in the genes of the neurons evolved with the intention that some good strategies learned are not forgotten. In this dissertation is presented some works from other authors in which cooperative and competitive co-evolution has been applied. The Go board size used in this thesis was 9x9, but can be easily escalated to more bigger boards.The author believe that programs coded and techniques introduced in this dissertation can be used for other domains.

Localization and Tracking in Energy-Constrained Networks with Dynamic Connectivity

Systems used for target localization, such as goods, individuals, or animals, commonly rely on operational means to meet the final application demands. However, what would happen if some means were powered up randomly by harvesting systems? And what if those devices not randomly powered had their duty cycles restricted? Under what conditions would such an operation be tolerable in localization services? What if the references provided by nodes in a tracking problem were distorted? Moreover, there is an underlying topic common to the previous questions regarding the transfer of conceptual models to reality in field tests: what challenges are faced upon deploying a localization network that integrates energy harvesting modules? The application scenario of the system studied is a traditional herding environment of semi domesticated reindeer (Rangifer tarandus tarandus) in northern Scandinavia. In these conditions, information on approximate locations of reindeer is as important as environmental preservation. Herders also need cost-effective devices capable of operating unattended in, sometimes, extreme weather conditions. The analyses developed are worthy not only for the specific application environment presented, but also because they may serve as an approach to performance of navigation systems in absence of reasonably accurate references like the ones of the Global Positioning System (GPS). A number of energy-harvesting solutions, like thermal and radio-frequency harvesting, do not commonly provide power beyond one milliwatt. When they do, battery buffers may be needed (as it happens with solar energy) which may raise costs and make systems more dependent on environmental temperatures. In general, given our problem, a harvesting system is needed that be capable of providing energy bursts of, at least, some milliwatts. Many works on localization problems assume that devices have certain capabilities to determine unknown locations based on range-based techniques or fingerprinting which cannot be assumed in the approach considered herein. The system presented is akin to range-free techniques, but goes to the extent of considering very low node densities: most range-free techniques are, therefore, not applicable. Animal localization, in particular, uses to be supported by accurate devices such as GPS collars which deplete batteries in, maximum, a few days. Such short-life solutions are not particularly desirable in the framework considered. In tracking, the challenge may times addressed aims at attaining high precision levels from complex reliable hardware and thorough processing techniques. One of the challenges in this Thesis is the use of equipment with just part of its facilities in permanent operation, which may yield high input noise levels in the form of distorted reference points. The solution presented integrates a kinetic harvesting module in some nodes which are expected to be a majority in the network. These modules are capable of providing power bursts of some milliwatts which suffice to meet node energy demands. The usage of harvesting modules in the aforementioned conditions makes the system less dependent on environmental temperatures as no batteries are used in nodes with harvesters--it may be also an advantage in economic terms. There is a second kind of nodes. They are battery powered (without kinetic energy harvesters), and are, therefore, dependent on temperature and battery replacements. In addition, their operation is constrained by duty cycles in order to extend node lifetime and, consequently, their autonomy. There is, in turn, a third type of nodes (hotspots) which can be static or mobile. They are also battery-powered, and are used to retrieve information from the network so that it is presented to users. The system operational chain starts at the kinetic-powered nodes broadcasting their own identifier. If an identifier is received at a battery-powered node, the latter stores it for its records. Later, as the recording node meets a hotspot, its full record of detections is transferred to the hotspot. Every detection registry comprises, at least, a node identifier and the position read from its GPS module by the battery-operated node previously to detection. The characteristics of the system presented make the aforementioned operation own certain particularities which are also studied. First, identifier transmissions are random as they depend on movements at kinetic modules--reindeer movements in our application. Not every movement suffices since it must overcome a certain energy threshold. Second, identifier transmissions may not be heard unless there is a battery-powered node in the surroundings. Third, battery-powered nodes do not poll continuously their GPS module, hence localization errors rise even more. Let's recall at this point that such behavior is tight to the aforementioned power saving policies to extend node lifetime. Last, some time is elapsed between the instant an identifier random transmission is detected and the moment the user is aware of such a detection: it takes some time to find a hotspot. Tracking is posed as a problem of a single kinetically-powered target and a population of battery-operated nodes with higher densities than before in localization. Since the latter provide their approximate positions as reference locations, the study is again focused on assessing the impact of such distorted references on performance. Unlike in localization, distance-estimation capabilities based on signal parameters are assumed in this problem. Three variants of the Kalman filter family are applied in this context: the regular Kalman filter, the alpha-beta filter, and the unscented Kalman filter. The study enclosed hereafter comprises both field tests and simulations. Field tests were used mainly to assess the challenges related to power supply and operation in extreme conditions as well as to model nodes and some aspects of their operation in the application scenario. These models are the basics of the simulations developed later. The overall system performance is analyzed according to three metrics: number of detections per kinetic node, accuracy, and latency. The links between these metrics and the operational conditions are also discussed and characterized statistically. Subsequently, such statistical characterization is used to forecast performance figures given specific operational parameters. In tracking, also studied via simulations, nonlinear relationships are found between accuracy and duty cycles and cluster sizes of battery-operated nodes. The solution presented may be more complex in terms of network structure than existing solutions based on GPS collars. However, its main gain lies on taking advantage of users' error tolerance to reduce costs and become more environmentally friendly by diminishing the potential amount of batteries that can be lost. Whether it is applicable or not depends ultimately on the conditions and requirements imposed by users' needs and operational environments, which is, as it has been explained, one of the topics of this Thesis.

Camera localization using trajectories and maps

We propose a new Bayesian framework for automatically determining the position (location and orientation) of an uncalibrated camera using the observations of moving objects and a schematic map of the passable areas of the environment. Our approach takes advantage of static and dynamic information on the scene structures through prior probability distributions for object dynamics. The proposed approach restricts plausible positions where the sensor can be located while taking into account the inherent ambiguity of the given setting. The proposed framework samples from the posterior probability distribution for the camera position via data driven MCMC, guided by an initial geometric analysis that restricts the search space. A Kullback-Leibler divergence analysis is then used that yields the final camera position estimate, while explicitly isolating ambiguous settings. The proposed approach is evaluated in synthetic and real environments, showing its satisfactory performance in both ambiguous and unambiguous settings.

Propuesta de un sistema para detección precoz de trastornos del lenguaje en niños de 0 a 6 años

Las Tecnologías de la Información y las Comunicaciones han propiciado avances en el contexto de la salud tanto en la gestión efectiva de información socio‐sanitaria de forma electrónica, como en la provisión de servicios de e‐salud y telemedicina. Los antecedentes de investigación publicados en esta área corroboran este hecho presentando las mejoras experimentadas en la atención de la población y en la provisión de servicios sanitarios. La atención temprana, cuyos principios científicos se fundamentan en los campos de la pediatría, neurología, psicología, psiquiatría, pedagogía, fisiatría y lingüística, entre otros, tiene como finalidad ofrecer a los niños con déficit o con riesgo de padecerlos un conjunto de acciones optimizadoras y compensadoras, que faciliten su adecuada maduración en todos los ámbitos y que les permita alcanzar el máximo nivel de desarrollo personal y de integración social. La detección de posibles alteraciones en el desarrollo infantil es un aspecto clave de la atención temprana en la medida en que puede posibilitar la puesta en marcha de diversos mecanismos de actuación disponibles en las entidades implicadas, valiosos para la calidad de vida de la persona. Cuanto antes se realice la detección, existen mayores garantías de prevenir patologías añadidas, lograr mejoras funcionales y posibilitar un ajuste más adaptativo entre el niño y su entorno. El objetivo de la investigación presentada en esta tesis doctoral es analizar, diseñar, verificar y validar un sistema de información abierto, basado en conocimiento, que facilite efectivamente a los profesionales que trabajan con la población infantil entre 0 y 6 años la detección precoz de posibles trastornos del lenguaje. Desde el punto de vista metodológico, la Ingeniería del Conocimiento ofrece un marco conceptual sólido que permite desarrollar y validar Sistemas de Ayuda a la Toma de Decisiones distribuidos y escalables, capaces de ayudar al pediatra de Atención Primaria y al educador infantil en la detección precoz de posibles trastornos del lenguaje en niños. La evaluación del sistema se ha realizado de forma incremental mediante el diseño y validación de pruebas de campo experimentales consistentes en la evaluación de niños en dos escenarios distintos: la escuela infantil y el centro de atención temprana. Los experimentos realizados en poblaciones distintas con alrededor de 344 niños durante 2 años, han permitido contrastar la buena adecuación del sistema propuesto a las necesidades de detección de los profesionales que trabajan con niños entre 0 y 6 años. La tesis resultante ha permitido caracterizar el uso del sistema en entornos reales, conocer la aceptación entre los usuarios y su impacto en la provisión de un servicio de atención temprana como el descrito para el correcto seguimiento del desarrollo del lenguaje en los niños, además de proponer un nuevo modelo de atención y evaluación cooperativa que permita incrementar el conocimiento experimental existente al respecto. ABSTRACT The Information and Communication Technology have led to advances in the context of health both in the effective management of socio‐health information electronically, and in the provision of e‐health and telemedicine. The history of research published in this area confirm this fact by presenting the improvements in the care of the population and the provision of health services. Early attention, whose scientific principles are based on the fields of pediatrics, neurology, psychology, psychiatry, pedagogy, physical medicine and linguistics, among others, aims to provide children with deficits or risk of suffering a set of enhancer actions, which facilitate adequate maturation in all areas and allow them to achieve the highest level of personal development and social integration. The detection of possible changes in child development is a key aspect of early intervention to the extent that it can enable the implementation of different mechanisms of action available to the entities involved, valuable to the quality of life of the person. The earlier the detection is made, there are more guarantees added to prevent diseases, achieving functional improvements and enable a more adaptive fit between the child and his environment. The aim of the research presented is to analyze, design, verify and validate an open information system, based on knowledge, which effectively provide professionals working with the child population between 0 and 6 years, in processes of early detection of language disorders. From the methodological point of view, Knowledge Engineering provides a solid conceptual framework to develop and validate a distributed and scalable decision support systems aim to assist pediatricians and language therapists at early identification and referral of language disorder in childhood. The system evaluation was performed incrementally with the design and validation of consistent experimental field tests in the assessment of children in two different scenarios: the nursery and early intervention center. Experiments in different populations with about 344 children over 2 years, allowed to testing the adequacy of the proposed good detection needs of professionals working with children between 0 and 6 years old system. The resulting thesis has allowed to formalizing the system at real environments and to identifying the acceptance by users as well as its impact on the provision of an early intervention service, such as the one described for the proper monitoring of language development in children. In addition, it proposes a new model of care and cooperative evaluation that lets to increase the existing experimental knowledge about it.

Estrategias de desarrollo sostenible de la arquitectura del oasis de M’hamid, desierto del Sahara

Esta investigación se plantea con la hipótesis radical de cómo habitar el desierto de forma sostenible, desde una actitud pragmática y experimental basada en el progreso. La justificación se basa en primer lugar en los 2.000 millones de personas en el mundo que viven en entornos desérticos, el 80% de ellas, en países en desarrollo, porque el 40% de la superficie terrestre está bajo amenaza de desertificación afectando al 37% de la población mundial, con 12 millones de hectáreas al año perdidas por esa causa, y por último, porque se considera el desierto como un entorno de gran atractivo y potencial. El contenido de la investigación se estructura en tres movimientos: posicionamiento, mirada y acción: Desde el posicionamiento se define en primer lugar la sostenibilidad, aportando un nuevo diagrama donde se incorpora el ámbito arquitectónico como uno de los pilares principales, y, posteriormente, se establecen los criterios de evaluación de la sostenibilidad, aportando un sistema de indicadores donde se incorporan parámetros adecuados a las circunstancias del oasis. Del mismo modo, se estudian y analizan metodologías de actuación y proyectos de desarrollo sostenible existentes que enmarcan el estado del arte, constatando la dificultad de adaptación de los mismos a las condiciones de los oasis, por lo que se elabora una metodología propia donde se modifica la dinámica estratégica, de forma que el impulso se plantea desde la acción social, a través de hipótesis de estrategias basadas en sistemas low-cost, autoconstruidas, asumibles económicamente y de implantación factible. El caso de estudio específico radica en la situación extrema de las condiciones en el oasis de M’hamid, donde se evidencia un proceso de desintegración y abandono. Esto es debido a una acumulación de circunstancias externas e internas, de múltiples factores: naturales y antrópicos que afectan al oasis, llevando al extremo las condiciones climáticas y la escasez de recursos, naturales y artificiales. Factores como el cambio climático, la sequía, los cambios en las políticas del agua, la amenaza de desertificación, los conflictos sociales, el desequilibrio ecológico, la escasez económica, la crisis energética, la obsolescencia arquitectónica, el patrimonio construido prácticamente destruido, y la malentendida nueva arquitectura. Es importante constatar la escasa documentación gráfica existente sobre la zona de actuación lo que ha conllevado un amplio trabajo de documentación, tanto cartográfica como de observación directa, aportada a la tesis como investigación de elaboración propia. La mirada analítica al caso de estudio permite conocer los recursos disponibles y las potencialidades latentes del oasis de M’hamid, que permitirán actuar para subvertir la dinámica involutiva imperante, de forma que los dibujos iniciales de apropiación contextual y análisis críticos derivan en mapas de acción diagramados conformados por un sistema de objetos y la definición de estrategias transversales, deconstruyendo el pasado y reconstruyendo el futuro, incorporando sistemas alternativos que se definen en 7 líneas estratégicas de acción formuladas desde los 3 ámbitos relacionados con el ecosistema: ecológico, socio- económico y arquitectónico. Así, la tesis defiende la acción arquitectónica como impulsora del desarrollo sostenible, apoyada en 3 elementos: - la creación de objetos “tecnoartesanos”, para el aprovechamiento de los recursos energéticos - las transformaciones arquitectónicas, para reformular el hábitat desde la eficiencia energética y el progreso - y el impulso de acciones cotidianas, que redefinan las relaciones sociales, creando entornos cooperativos y colaborativos. En el ámbito ecológico se proponen actuaciones anti desertificación mediante incubadoras de árboles; sistemas alternativos de gestión del agua, como la lluvia sólida; estrategias de potenciación de la producción agrícola; la construcción de mecanismos de obtención de energía a partir de residuos, como los paneles solares con botellas PET. En el ámbito socioeconómico se plantean nuevas formas de acción social y de reactivación económica. Por último, en el ámbito urbano-arquitectónico, se incorporan modificaciones morfológicas a la arquitectura existente y una relectura contemporánea de la tierra, como material que permite nuevas geometrías, obteniendo arena petrificada por procesos microbiológicos, y potenciando la tierra como recurso artístico. Esta tesis es un punto de partida, recoge sistemas, estrategias y experiencias, para funcionar como un estímulo o impulso dinamizador del futuro desarrollo sostenible del oasis, abriendo vías de investigación y experimentación. ABSTRACT This research puts forth the radical hypothesis of how to inhabit the desert in a sustainable way, using a pragmatic and experimental approach based on progress. The justification for this resides in the fact that there are 2,000 million people in the world living in desert environments, 80% of them in developing countries. Forty percent of the earth’s surface is under threat of desertification, affecting 37% of the world population and with 12 million hectares being lost each year. And finally, the desert is considered as an attractive environment and therefore, with great potential. The content of the research is structured in three main sections: positioning, observation and action: As a point of departure, sustainability is defined, proposing a new framework where architecture is incorporated as one of the main pillars. Then, the criteria for evaluating sustainability are established. These provide a system of indicators, which incorporate parameters based on the specific circumstances of the oasis. Methodologies and existing sustainable development projects that represent the state-of-the-art are analyzed, discussing the difficulty of adapting them to conditions of oases. A methodology that modifies strategic concepts is developed, whereby the catalyst is social action, and strategies are developed based on low-cost, self-built, and feasible implementation systems. The specific case study lies in the extreme conditions in the oasis of M'hamid, where a process of decay and neglect is evident. This deterioration is due to an accumulation of external and internal circumstances, and of natural and anthropogenic factors that affect the oasis, leading to extreme weather conditions and a shortage of both natural and artificial resources. Factors include; climate change, drought, changes in water policies, the threat of desertification, social conflicts, ecological imbalance, economic shortage, the energy crisis, architectural obsolescence, destruction of built heritage, and misunderstood new architecture. It is important to note the extremely limited graphic information about the area has led me to produce an extensive archive of maps and drawings, many developed by direct observation, that contribute to the research. The case study analysis of the oasis of M'hamid examines the resources available and the latent potential to slow the prevailing trend towards deterioration. The initial drawings of contextual appropriation and critical analysis result in maps and diagrams of action, which are formed by a system of objects and the definition of strategies. These can be thought of as understanding or “deconstructing” the past to reconstruct the future. Alternative approaches defined in seven strategies for action are based on three fields related to the ecosystem: ecological, socioeconomic and architectural. Thus, the thesis defends architectural action to promote sustainable development, based on three elements: - The creation of "techno-artisans", to make use of energy resources - Architectural changes, to reformulate habitat in terms of energy efficiency and progress - And the promotion of everyday actions, to redefine social relations, creating cooperative and collaborative environments. In the ecological field, I propose anti-desertification actions such as; tree incubators, alternative water management systems(such as solid rain),; strategies to empower the agricultural production, energy from low-cost systems made out from recycled materials(such as solar panels from PET bottles or wind turbine from bicycle wheels). In the socioeconomic sphere, I propose to implement new forms of social action and economic regeneration. Finally, within the urban and architectural field, I propose morphological changes to the existing architecture and a contemporary reinterpretation of the earth as a material that allows new geometries, creating petrified sand by microbiological processes or enhancing nature as an artistic and energy resource. This thesis is a starting point. It collects systems, strategies and experiences to serve as a stimulus or dynamic momentum for future sustainable development of the oasis, opening new avenues of research and experimentation. RÉSUMÉ Cette recherche part d'une hypothèse radicale : comment habiter le désert de façon durable, et ce à partir d'une approche pragmatique et expérimentale basée sur le progrès. Cette hypothèse se justifie en raison des 2 milliards de personnes qui dans le monde habitent des environnements désertiques, 80% d'entre eux dans des pays en voie de développement, mais aussi parce que 40% de la surface de la planète est sous menace de désertification, un phénomène affectant 37% de la population mondiale et qui cause la perte de 12 millions d'hectares par an; et enfin parce que le désert est considéré comme un environnement très attrayant et fort d’un grand potentiel. Le contenu de la recherche se divise en trois mouvements: le positionnement, le regard et l'action : Du point de vue du positionnement on définit tout d'abord la durabilité, présentant un nouveau schéma où le domaine de l'architecture devient un des principaux piliers, et, par la suite, des critères d'évaluation de la durabilité sont établis, en fournissant un système d’indicateurs qui intègre les paramètres appropriés aux circonstances de l'oasis. De même, des méthodologies et des projets de développement durable existants sont étudiés et analysés, ce qui encadre l'état de l'art, remarquant la difficulté de les adapter aux conditions des oasis. De cette difficulté découle l'élaboration d'une méthodologie qui modifie la dynamique stratégique, de sorte que l'impulsion provient de l'action sociale, à travers des hypothèses de stratégie basées sur des systèmes low-cost, auto-construits, et de mise en oeuvre économiquement viable. Le cas d'étude spécifique réside en la situation extrême des conditions de l'oasis de M’hamid, où un processus de décadence et de négligence est évident. Cela est dû à une accumulation de circonstances externes et internes, de multiples facteurs: les facteurs naturels et anthropiques qui affectent l'oasis, menant à l'extrême les conditions météorologiques et la pénurie de ressources, autant naturelles qu'artificielles. Des facteurs tels que le changement climatique, la sécheresse, les changements dans les politiques de l'eau, la menace de la désertification, les conflits sociaux, le déséquilibre écologique, la pénurie économique, la crise de l'énergie, l'obsolescence architecturale, le patrimoine bâti pratiquement détruit et une mauvais compréhensif de la nouvelle architecture. Il est important de de faire remarquer le peu d'informations graphiques du domaine d'action, ce qui a conduit à un vaste travail de documentation, autant cartographique que relative à l'observation directe. Cette documentation s'ajoute à la thèse en tant que recherche propre. Le regard analytique sur le cas d'étude permet de connaître les ressources disponibles et le potentiel latent de l'oasis de M’hamid, qui agiront pour renverser la dynamique d'involution en vigueur. Ainsi, les premiers dessins d'appropriation contextuelle et analyse critique deviennent des cartes d'action schématisées formées par un système d'objets et la définition de stratégies transversales, qui déconstruisent le passé et reconstruisent l'avenir, en incorporant des systèmes alternatifs qui se définissent sur 7 lignes stratégiques d'action formulées à partir des 3 domaines en relation avec l’écosystème: l’écologique, le socio-économique et l'architectural. Ainsi, la thèse défend l'action architecturale en tant que promotrice du développement durable, et ce basé sur 3 éléments: - la création d'objets "technoartisans" pour l'exploitation des ressources énergétiques - les modifications architecturales, pour reformuler l'habitat du point de vue de l'efficacité énergétique et le progrès - et la promotion des actions quotidiennes, pour redéfinir les relations sociales, et la création d'environnements de coopération et collaboration. Dans le domaine de l'écologie des actions de lutte contre la désertification sont proposées à travers des pépinières d'arbres, des systèmes alternatifs de gestion de l'eau comme par exemple la pluie solide, des stratégies de mise en valeur de la production agricole, la construction de mécanismes de production d'énergie à partir de résidus, tels que les panneaux solaires ou les bouteilles en PET. Dans le domaine socio-économique, l'on propose de nouvelles formes d'action sociale et de reprise économique. Enfin, dans le domaine de l'urbain et de l'architectural, on incorpore des changements morphologiques à l'architecture existante et une relecture contemporaine de la terre, comme matériau qui permet de nouvelles géométries, en obtenant du sable pétrifié par des procédés microbiologiques et en mettant en valeur la terre comme une ressource artistique. Cette thèse n'est qu'un point de départ. Elle recueille des systèmes, des stratégies et des expériences pour servir de stimulus ou d'impulsion dynamisatrice du futur développement durable de l'oasis, en ouvrant des voies de recherche et d'expérimentation.

Self-Learning Embedded System for Object Identification in Intelligent Infrastructure Sensors

The emergence of new horizons in the field of travel assistant management leads to the development of cutting-edge systems focused on improving the existing ones. Moreover, new opportunities are being also presented since systems trend to be more reliable and autonomous. In this paper, a self-learning embedded system for object identification based on adaptive-cooperative dynamic approaches is presented for intelligent sensor’s infrastructures. The proposed system is able to detect and identify moving objects using a dynamic decision tree. Consequently, it combines machine learning algorithms and cooperative strategies in order to make the system more adaptive to changing environments. Therefore, the proposed system may be very useful for many applications like shadow tolls since several types of vehicles may be distinguished, parking optimization systems, improved traffic conditions systems, etc.