Filter by:

 

  • Detección de eventos en señales acústicas (NEOTEC-Sistema para la evaluación del impacto de marca)

    Project leaders

     

    Project Leader: Víctor Osma (GAMMA-CITSEM)

    Este proyecto, a través del audio tagging, aborda el análisis computarizado de escenas acústicas donde confluyen varias ramas de la tecnología como son: procesado de la señal acústica, clasificación de patrones, acústica de salas, adquisición de audio con varios micrófonos, localización de la fuente sonora, separación de fuentes y detección de eventos sonoros, entre otros. Concretamente, la finalidad del proyecto es identificar de manera automática eventos (fragmentos musicales, voces, gritos, golpes, etc.) que suceden en un determinado fragmento de audio. Los resultados de este proyecto se pueden aplicar a sistemas de vigilancia, monitorización medioambiental, hogar inteligente o automatización industrial, etc. Pero también son de aplicación en el ámbito de la comunicación audiovisual, puesto que permiten asignar descriptores a señales acústicas que sean de interés, como pueden ser los sonidos que acompañan a la aparición de una determinada marca o logotipo en una secuencia de vídeo.

    Funding: Privada (PIXELABS S.L.)

     

  • PLATINO - Plataforma HW/SW distribuida para el procesamiento inteligente de información sensorial heterogénea en aplicaciones de supervisión de grandes espacios naturales

    Project leaders

    Eduardo Juárez
     

    Título: Plataforma HW/SW distribuida para el procesamiento inteligente de información sensorial heterogénea en aplicaciones de supervisión de grandes espacios naturales (PLATINO)

    Project leaders UPM: Eduardo de la Torre (CEI) - Eduardo Juárez (CITSEM)

    In the last few decades, the remarkable advances in the field of Electronics have enabled the development of new sensors, able to provide richer and more diverse information about the surrounding environment. However, this has also fostered significant increases not only in constructive complexity, but also in terms of data transmission requirements, which in turn leads to more complex and stringent computational requirements, i.e. processing capabilities to extract useful information from sensor data for a given application. The level of complexity can be further increased when facing scenarios in which not only one sensor, but a network of tens of sensors of different nature and placed in different locations, either fixed or in movement, is considered, especially when sensors are permanently and autonomously monitoring a specific set of parameters and using the acquired data to make smart and fast decisions incurring in minimum energy consumption. Hence, although these heterogeneous sensor networks provide more information and thus favor better resource utilization rates, they also create certain needs that have to be satisfied with novel contributions in the field of ICT that enable efficient data management for the large datasets generated by the aforementioned networks, reduction of excessive processing time in mobile devices, while at the same time ensuring minimum energy consumption and link security between the nodes. The core proposal of this project can be framed in the aforementioned context, since it aims at providing a set of different solutions that enable further developments in the design of distributed hardware/software platforms able to smartly process heterogeneous sensor information. The feasibility of these solutions will be assessed in a Smart Farming scenario, where the use of multisensory networks is a major breakthrough in terms of economy, but also in food quality and safety. To tackle this challenge, the PLATINO project will focus on five key factors that have been identified as essential for the use and management of these sensor networks: (1) automatic data acquisition using cutting-edge hyperspectral and photonic sensors; (2) development of new algorithms to efficiently extract relevant information from captured sensor data; (3) development of a secure network infrastructure to support safe/secure data transfers, and distributed data processing; (4) implementation of the processing algorithms and data fusion in specifically-tailored computing platforms, suited for different power consumption scenarios; and (5) design of expert systems and mixed-reality user interfaces to enable smart decision-making processes, based on heterogeneous sensor data fusion.

    El proyecto PLATINO propone, en el ámbito de la agricultura inteligente, un conjunto de soluciones que permitirán avanzar en el diseño de plataformas distribuidas hardware/software implicadas en el procesamiento inteligente de información sensorial heterogénea. El demostrador que se construirá con este tipo de redes multisensoriales supondrá un extraordinario avance en términos de seguridad y producción económica y de calidad de los alimentos.

    El desarrollo de este proyecto permitirá realizar significativos avances en cinco aspectos claves para la utilización y gestión de estas redes de sensores:

    • La adquisición automatizada de datos a través de sensores hiperespectrales y fotónicos de última generación.
    • El desarrollo de nuevos algoritmos para la extracción eficiente de la información capturada por estos sensores.
    • La creación de una infraestructura de red segura para el transporte y procesamiento distribuido de datos capturados por sensores heterogéneos.
    • La implementación de los algoritmos de procesamiento y fusión de los datos adquiridos en plataformas de cómputo adaptadas a diferentes escenarios de consumo de potencia.
    • El diseño de sistemas expertos e interfaces de usuario basadas en realidad mixta para la toma de decisiones inteligentes mediante la fusión de los datos provenientes de sensores heterogéneos.

    Funding: Ministerio de Economía, Industria y Competitividad y la Agencia Estatal de Investigación. Programa Retos investigación 2017

    Resultado de imagen de MINECO

    NOTICIA

     

  • Arquitectura Adaptativa para Crowd-Sensing de Comunidades Eficientes

    Project leaders

     

    Project Leaders: Juan Garbajosa Sopeña y Jenifer Pérez Benedí (CITSEM)

    Social behaviour of people is changing, we are permanently connected to Internet through our smartphones. People are demanding instant responses to their demands in different sectors and, at the same time, are providing highly valuable information. Companies that manage this information could take advantage and provide new added value services. Currently this is very-well accepted in social networks, but it is not so extended in the area of energy/water, and at the same time it would be very profitable for the sustainability of our society. Crowd-sensing is an emerging technology that allows improving observability of large spaces (buildings, cities) and their interaction with users and activities by exploiting smartphone sensing capabilities, conveniently aggregated. Energy consumption in such spaces depends in great part on users' behaviour. Crowd-sensing enables the observation of social behaviour at different aggregation levels but, it requires specific methods and adaptation capabilities to deal with variability of data streams to be useful for energy management purposes. Thus, the goal of CROWDSAVING project is to provide a flexible and adaptive software infrastructure levering to monitor the impact of user behaviour on the dynamics of energy/water distribution networks and energy intensive facilities throught defining new algorithms and discovering paterns from data. 

    El comportamiento social de las personas está cambiando, estamos permanentemente conectados a Internet mediante smartphones. Las personas quieren respuestas instantáneas a sus peticiones en múltiples ámbitos, a la vez que aportan información que puede ser muy valiosa para que las compañías que reciben dicha información para que puedan tomar ventaja y facilitar nuevos servicios de valor añadido. Este hecho está comúnmente aceptado en las redes sociales, aunque no está muy desarrollado en el área de la energía o el agua, y que al mismo tiempo podría ser muy beneficioso para la sostenibilidad de nuestra sociedad. Crowd-sensing es una tecnología emergente que permite mejorar la capacidad de observación de los grandes espacios (edificios, ciudades) y el consumo energético de dichos espacios depende en gran medidia de los comportamientos y hábitos sociales de sus ocupantes. La explotación de las capacidades de sensorización de los teléfonos inteligentes y otros dispositivos de sensorización masiva, agregados de forma adecuada, ofrecen un gran potencial para analizar la relación entre el consumo y el comportamiento social. Crowd-sensing permite la observación de conductas sociales y su impacto en el consumo energético, aunque requiere métodos específicos para adaptar la variabilidad de los flujos de datos a los enfoques actuales de monitorización de energía. El objetivo del proyecto CROWDSAVING es proporcionar una infraestructura de software flexible y adaptable que facilite la monitorización del impacto que tiene el comportamiento de los usuarios (a nivel agregado) en la dinámica de las redes de distribución de energía/agua, en edificios e infraestructuras con consumo energético intensivo.

    Funding: MINECO (Retos Investigación 2017)

    Resultado de imagen de MINECO

     

  • Immersive Visual Media Environments (IVME)

    Project leaders

     

    Project Leader: Fernando Pescador del Oso (CITSEM)

    Since many years ago, there has been a constant trend within the audiovisual sector aiming at providing immersion, so users will have the perception of being physically present in a non-physical (virtual) world. Although there are holistic approaches where several users senses are provided with surrounding stimuli (audio, video, touch, smell, ..., balance, temperature, ...), this project focuses on the delivery of the visual media required to fulfill the immersion feeling. Within the global trend towards immersive presentation devices, this activity continues previous achievements on the delivery of visual media wih depth perception of the observed scene, on the integration of real and virtual worlds to produce new mixed reality 3D scenes, on the interaction between the display device and the user, and on video services tailored to users preferences. Although technology providing adequate quality for this is likely to be available soon, there is an ever growing demand of new research and development to help advance new immersive environments, for both fixed and mobile devices. As an example of the large set of opportunities, there is a need for omnidirectional video, content production tools, encoding schemes, power/energy consumption management, immersive content delivery, and interaction technologies solutions. Therefore, this project aims at pushing forward the technologies involved in omnidirectional video processing algorithms for analysis and encoding making contributions in the areas of acquisition, characterization, compression, delivery, visualization, and interaction of audiovisual media able to allow immersion perception. Stemming from this main objective, several topics helping the production and delivery of immersive video content are considered. These topics have been chosen to correspond to on-going lines of research of the project team. Activities within video analysis cover camera calibration, detection and tracking of significant elements, and mixed/augmented 3D scene modeling and composition. With respect to data representation, multiview based approaches seem to be the key alternatives for the description and compression of visual 3D media and, on data distribution, smart content delivery, transmission error protection and quality evaluation are the targets. Finally, there are several tasks on visualization and interaction to achieve immersive perception. Furthermore, there will be important efforts on coordination with other national and international research groups, and an active participation in standardization bodies, mainly in MPEG (formally ISO/IEC JTC 1/SC 29/WG 11). Additionally, the technical contributions of the project will be integrated into a common system to allow the testing of the combined modules as well as to help the dissemination of the outcomes of the project.

    El proyecto Immersive Visual Media Environments (IVME) busca impulsar las tecnologías empleadas en el tratamiento de vídeo omnidireccional para el análisis y la codificación, proponiendo contribuciones en las áreas de adquisición, caracterización, compresión, distribución, visualización e interacción con medios audiovisuales capaces de ofrecer percepción de inmersión.

    Para ello, el proyecto aborda el desarrollo de nuevas herramientas y técnicas que permitan resolver los diferentes problemas tecnológicos asociados a la introducción de entornos de medios visuales inmersivos.

    Entre los objetivos principales del proyecto IVME, coordinado entre dos grupos de investigación de la UPM (GTI y GDEM), se hallan el desarrollo de descodificadores de vídeo en plataformas con dispositivos multiprocesador heterogéneos y la definición de una serie de reglas y herramientas para el consumo eficiente de energía que permitirán a las empresas innovadoras del sector audiovisual el desarrollo de nuevos productos y servicios (audiovisuales) y la reducción del time to market.

    Funding: MINECO (Retos 2017)

    Resultado de imagen de MINECO

    NOTICIA

     

  • CERBERO - The Cross-layer modEl-based fRamework for multi-oBjective dEsign of Reconfigurable systems in unceRtain hybRid envirOnments

    Project leaders

    Eduardo Juárez
     

                Resultado de imagen de CERBERO H2020

     

    Project Leader UPM: Eduardo Juárez

    ICT is embedded and pervasive into our daily lives. The notion of Cyber Physical Systems (CPS) has emerged: embedded computational collaborating devices, capable of controlling physical elements and responding to humans. 

    The Cross-layer modEl-based fRamework for multi-oBjective dEsign of Reconfigurable systems in unceRtain hybRid envirOnments (CERBERO) project aims at developing a design environment for CPS based of two pillars: a crosslayer model based approach to describe, optimize, and analyze the system and all its different views concurrently; an advanced adaptivity support based on a multi-layer autonomous engine.

    To overcome the limit of current tools, CERBERO provides: libraries of generic Key Performance Indicators for reconfigurable CPSs in hybrid/uncertain environments; novel formal and simulation-based methods; a continuous design environment guaranteeing earlystage analysis and optimization of functional and non-functional requirements, including energy, reliability and security.

    CERBERO effectiveness will be assessed in challenging and diverse scenarios, brought by industrial leaders: an embedded CPS with self-healing capabilities for planetary explorations (TASE-S&T), an ocean monitoring CPSoS (AS), and a Smart Travelling CPSoS for Electric Vehicle (TNO-CRF-S&T). CERBERO will automate multiobjective decisions to meet requirements and correct/optimized–by–construction designs. Interoperable components (i.e. DynAA by TNO, AOW by IBM, PREESM by INSA, PAPI-ARTICo3 by UPM, MDC by UniCA-UniSS) will be enhanced with additional features (as security, USI), mostly released as open-source to foster open innovation and a real path to standardisation, and integrated (IBM- AI) into a unique framework. Design speed up (one order of magnitude), increased performance (30% less energy) and reduced costs of deployment (by rapid prototyping and system in the loop incremental design) and maintenance (by runtime verification and adaptivity) of CPSoS are expected.

    Funding: ICT, H2020

    Imagen relacionada

     

  • PERIFERICOS

    Project leaders

     

    This project target is, based on the TI TMDSICE3359 development platform, to develop three programming libraries for developing applications based on the MODBUS RTU, MODBUS TCP and IEC-60870-5-104 protocols, and to train TELICE staff to use them.

    El objetivo de este proyecto es, partiendo de la plataforma de desarrollo TI TMDSICE3359, desarrollar tres librerías para el desarrollo de aplicaciones que usen los protocolos MODBUS RTU, MODBUS TCP y IEC-60870-5-103, y formar al personal de la empresa TELICE en su uso.

    Funding: TELICE

     

     

  • SWARMs - Smart and Networking UnderWAter Robots in Cooperation Meshe

    Project leaders

    José Fernán Martínez
     

    Proyect codeECSEL 662107

    The primary goal of the SWARMs project is to expand the use of underwater and surface vehicles (AUVs, ROVs, USVs) to facilitate the conception, planning and execution of maritime and offshore operations and missions. This will reduce the operational costs, increase the safety of tasks and of involved individuals, and expand the offshore sector.
    SWARMs project aims to make AUVs, ROVs and USVs further accessible and useful, making autonomous maritime and offshore operations a viable option for new and existent industries:

    • Enabling AUVs/ROVs to work in a cooperative mesh thus opening up new applications and ensuring re-usability by promoting heterogeneous standard vehicles that can combine their capabilities, in detriment of further costly specialised vehicles.
    • Increasing the autonomy of AUVs/USVs and improving the usability of ROVs for the execution of simple and complex tasks, contributing to mission operations’ sophistication.

    The general approach is to design and develop an integrated platform for a new generation of autonomous maritime and underwater operations, as a set of software/hardware components, adopted and incorporated into the current generation of maritime and underwater vehicles in order to improve autonomy, robustness, cost-effectiveness, and reliability of offshore operations, namely through vehicles cooperation.
    SWARMs’ achievements will be demonstrated in three field testing sites and occasions, taking into account different scenarios and use cases:

    • Corrosion prevention in offshore installations
    • Monitoring of chemical pollution
    • Detection, inspection and tracking of plumes
    • Berm building
    • Seabed Mapping

    SWARMs is an industry-led project, where large technology companies collaborate with SMEs specialized in the subsea, robotics and communication sectors, and universities together with research institutions ensure that the state-of-the-art innovations in these domains will rapidly make their way into market. This process counts with the perspectives and expectations of two industrial end-users, which are also part of the consortium.

    Funding: Unión Europea, MINECO

     logo FEDERlogo MINECO

    For more information: www.swarms.eu

     

  • CPS Engineering Labs - expediting and accelerating the realization of cyberphysical systems

    Project leaders

    Juan Garbajosa
     

    en

    Project Leader UPM: Juan Garbajosa

    Smart cyber-physical systems (CPS) are considered to be the next revolution in ICT with lots of game-changing business potential for integrated services and products. Mastering the engineering of complex and trustworthy CPS is key to implementing CPS-based business models. Current CPS, however, are often engineered and maintained at very high cost and sometimes with unknown risks, and recent technological progress from R&D projects is not readily available to most innovators.

    The CPS Engineering Labs (CPSE Labs) therefore equips innovators - businesses, researchers, and students – with CPS engineering infrastructure, knowledge, and tools for realizing novel CPS-based products and services, with the explicit goal of expediting and accelerating the realization of smart CPS.

    The CPSE Labs build upon existing R&D centers - in Madrid, Munich, Oldenburg, Newcastle, Stockholm, and Toulouse - and turn these already excellent regional clusters into world-class hotspots for CPS engineering.

    The design centers develop and maintain a common strategic innovation agenda for building up novel and complete CPS value chains. Based on this strategy the CPSE Labs build up and maintain a portfolio of added-value experiments.

    Experiments are focused and fast-track and they have a clear innovation objective; they build upon results and achievements from large-scale national and European projects on the rigorous design of embedded systems and CPS.

    Experience gained from experiments, validation results, and best practices, cross-cutting engineering principles that underpin the integration of cyber and physical elements of CPS are continuously integrated and disseminated by the CPSE Labs.

    The CPSE Labs' marketplace provides an open forum for sharing platforms, architectures, and software tools for the engineering of dependable and trustworthy CPS. The ultimate goal is to establish a CPS engineering framework which sets a world-wide standard.

    Funding: ICT, H2020

    Imagen relacionada

     

  • HELICoiD: HypErspectraL Imaging Cancer Detection

    Project leaders

    Eduardo Juárez
     

    Proyect codeFP7-ICT-2013.9.2 (FET Open) 618080.

    Hyperspectral Imaging (HI) involves collection of a massive amount of spectral and spatial information structured in hundreds of bands, with each band covering a narrow and contiguous portion of the electromagnetic spectrum. This approach provides a data-cube of spectral information which consists of a series of optical images recorded at various wavelengths of interest. By analysing the reflectance, emittance or fluorescence of every spatial pixel in the hyperspectral image, a better determination of the chemical structure of the material under evaluation is achieved.

    The main goal of Helicoid is to apply hyperspectral imaging techniques for the precise localization of malignant tumours during surgical procedures. This project will develop an experimental intraoperative setup based on non-invasive hyperspectral cameras connected to a platform running a set of algorithms capable of discriminate between healthy or pathological tissues. This information will be provided, through different display devices, to the surgeon, overlapping normal viewing images with simulated colours that will indicate the cancer probability of the tissue presently exposed during throughout the surgical procedure. A prototype will be developed with the aim of recognising cancer tissues during the surgical procedure. HI requires extensive data processing. To meet the real-time and in-vivo cancer detection requirement, a hardware/software partition of the final platform will be derived from the computational load required by the final developed algorithms.

    This project is expected to open new avenues in the diagnosis of cancer. If hyperspectral imaging demonstrates to be a reliable method for cancer detection and it can be done in real-time, the following aspects could be envisioned:

    • Accurate assistance on cancer detection during specific surgical procedures, i.e. surgical procedures intended for cancer resection. 
    • Automatic monitoring of different surgical procedures, i.e. having the proposed system active during other surgical procedures to detect cancer presence. This will help in the prevention of cancer on its very early stages. Moreover, the surgeon will pay attention to the current clinical target while the cancer detection system will be on automatic mode.
    • Cross-fertilization of the main results to other fields of the medicine, not only restricted to cancer. Hyperspectral Imaging Systems (HIS) have demonstrated to properly detect ischemia and is able to discriminate between arterial and venous blood. The potential of HIS applied to medicine is something to be still fully analysed and developed.
    • Facilitate the creation of a European industry based on HIS for medical applications. From the detailed analysis of the results obtained in this project, a more economical and efficient solution for industrial exploitation could be obtained. On the one side, removing the use of frequencies not directly involved in the cancer detection and sampling with higher precision those frequencies which have demonstrated to play a crucial role in the algorithms for cancer detection. On the other side, with an optimization of the computing platform, keeping only the computing cores and accelerators needed for the cancer detection. This dual shrinkage would lead to a cheaper final system, making the system to be profitable.

    Funding: FP7.

      

     

  • MR-UHDTV: Mixed Reality over Ultra High Definition Television

    Project leaders

    César Sanz
     

    Project CodeTEC2013-48453-C2-2-R

    The delivery of visual media integrating real and virtual worlds to produce new scenes seems to be one of the key elements in the current evolution of audiovisual systems. Mixed Reality (MR), able to merge both real and virtual worlds, has arrived to content generation and will mature to cover more and more applications, due to its ability to build new environments and to allow complex visualizations. Moreover, a progression for higher quality in professional and consumer scenarios is also happening (UHD, Ultra High Definition). These two developments have many common factors and there are several driving forces pushing and pulling for a cross-fertilized evolution. Although, technology seems to be available for excellent quality, there is an even growing demand of new research and development to help advance new mixed reality based applications. So, worldwide standards for MR video, methods for scene modeling, common quality measures for MR, media adaptation to the new displays, etc, are just examples of a large set of opportunities.
    So, this project aims at pushing forward the technologies involved in mixed reality image and video processing algorithms for analysis and encoding making contributions in the areas of acquisition, characterization, compression, delivery, and visualization of mixed reality audiovisual media. Stemming from this main objective, several topics helping the enhancement of mixed reality are considered. These topics have been chosen to correspond to on-going lines of research of the joint project team. Activities within the video analysis cover camera calibration, detection and tracking of significant elements, perceptual computing, environment characterization, scene modeling, and scene understanding. On representation and delivery there is a main focus on ultra high definition and the targets are compression algorithms, parallel, real-time energy-aware implementations, adaptive streaming, and quality evaluation. Moreover, there are several tasks on visualization to render the final mixed reality. 
    As the project also looks for internationalization, there will be an important coordination effort with other national and international research groups and an active participation in standardization bodies, mainly in MPEG. Additionally, the technical contributions of the project will be integrated into a MR-UHDTV system allowing the testing of the combined modules as well as helping in the dissemination of the outcomes of the project.

    FundingMinisterio de Economía y Competitividad - Retos

     

     

  • MESC: Platform for monitoring and evaluating of the Smart Cities distribution systems

    Project leaders

    Juan Garbajosa
     

    Project Code: PDI2013-47450-C2-2-R

    Project Leader UPM: Juan Garbajosa

    en

    The project envisions a platform to support monitoring procedures for distribution systems in Smart Cities. This requires a software engineering vision to specify a reference architecture that supports variability for different domains (energy, water, city mobility, etc.), vendors, etc. Under this perspective the consortium combines expertise of UdG on data driven monitoringmethods (modeling, fault detection and diagnosis and benchmarking) with excellence of UPM on software engineering.

    MESC is a coordinated project, participated by two research groups: eXIT(Control Engineering and Intelligent Systems) from the Universitat de Girona and SYST (System & Software Technology) from the Universidad Politecnica de Madrid (UPM), that aims contributing to improve efficiency of distribution systems in smart cities by means of the application of advanced monitoring.

    El proyecto prevé una plataforma para soportar la monitorización de sistemas de distribución en Smart Cities. Para ello se requiere una visión de ingeniería de software para permitir la adaptabilidad a dominios diversos como energía, agua, movilidad urbana, etc. Bajo esta perspectiva el consorcio combina la experiencia de la UdG en minería de datos aplicada a sistemas de monitorización (modelado, detección de fallos y diagnóstico y evaluación comparativa) con la excelencia de la UPM en ingeniería del software.

    Proyecto coordinado entre los grupos de investigación eXIT (Ingeniería de Control y Sistemas Inteligentes) de la Universitat de Girona y SYST (Tecnología Software y Sistemas) de la Universidad Politécnica de Madrid (UPM), que tiene como objetivo mejorar la eficiencia en los sistemas de distribución de servicios básicos (focalizados en agua y energía) en Smart Cities mediante la incorporación de métodos avanzados de monitorización.

    For more informationhttp://exit.udg.edu/mesc/

     

     

  • OPTYON III

    Project leaders

    Agustín Yagüe
     

    Project CodeP130010480 (ref. OTT)

    es

    Servicio de carga de datos al sistema integrado de información 

    Funding: Ministerio de Educación, Cultura y Deporte

    logo MEYC

     

  • ACCUS - Adaptive Cooperative Control in Urban (sub)Sytems

    Project leaders

    José Fernán Martínez
     

    Proyect codeART-010000-2013-2 // ARTEMIS-333020-1

    ACCUS studies a set of so-called converged scenarios that span across urban systems, like traffic, energy, and outdoor lighting, to investigate requirements and defines a reference architecture for the integration of urban systems, based on semantic descriptions. Simulations with software and systems in the loop will be supported. The input of ACCUS is the work of several other ARTEMIS projects that focus on the self-contained urban systems themselves.

    ACCUS aims at three innovations:

    1. Provide an integration and coordination platform for urban systems to build applications cross urban systems

    2. Provide an adaptive and cooperative control architecture and corresponding algorithms for urban subsystems in order to optimize their combined performance

    3. Provide general methodologies and tools for creating real-time collaborative applications for systems of systems

    ACCUS estudia un conjunto de los llamados “escenarios convergentes” que abarcan algunos sistemas urbanos, como tráfico, energía o iluminación pública , para investigar los requisitos y definir una arquitectura de referencia para la integración de los sistemas urbanos , basado ​​en descripciones semánticas . Se proporcionarán simulaciones software y sistemas en el bucle. La entrada de los acumuladores es el trabajo de varios otros proyectos de ARTEMIS que se centran en los propios sistemas urbanos autónomos.

    ACUUS tiene como objetivo tres innovaciones:

    1 . Proporcionar una plataforma de integración y coordinación de los sistemas urbanos para construir aplicaciones que los coordinen.

    2 . Proporcionar  una arquitectura de control cooperativo y adaptativa que use los algoritmos correspondientes con el fin de optimizar el rendimiento combinado de los sistemas urbanos

    3 . Proporcionar metodologías y herramientas generales para la creación de aplicaciones de colaboración en tiempo real para un sistema de sistemas

    Funding: Ministerio de Industria, Energía y Turismo, Unión Europea.

     

  • Verisure

    Project leaders

    Eduardo Juárez
     

    Functional and consumer analysis of a Verisure Fast II system.

    Análisis funcional y de consumo del sistema Verisure Fast II.

    Funding: Securitas Direct SAU.

     

  • I3RES - ICT based Intelligent management of Integrated RES for the Smart Grid optimal operation

    Project leaders

    José Fernán Martínez
     

    Proyect code: FP7-ICT-2011-8 // STREP No 31818

    I3RES main goal is to develop a management tool for the distribution grid underpinned by

    1. A monitoring system that integrates information from already installed systems (e.g. SCADA, EMS and smart meters).
    2. Energy production forecasting and network management algorithms that assist the distribution company in the management of massively distributed RES production and large scale RES production within the distribution network.
    3. Data mining and artificial intelligence to analyse consumers' energy demand and production in the distribution grid.

     

    El objetivo principal de I3RES es desarrollar una herramienta de gestión para la red de distribución, apuntalada por

    1. Un sistema de monitorización que integra información de sistemas ya instalados (por ejemplo, SCADA, EMS y medidores inteligentes);
    2. Previsión de la producción de energía y los algoritmos de gestión de redes que ayudan a la empresa de distribución en la gestión de la producción RES distribuido masivamente y la producción RES a gran escala dentro de la red de distribución.
    3. Minería de datos e inteligencia artificial para analizar la demanda de energía y la producción en la red de distribución de los consumidores.

    Funding: FP7.

      

     

  • Adaptación de BASATEC a la norma UNE-EN ISO 9999:2011

    Project leaders

    Juan Ignacio Godino
     

    Adaptation of the data model of the database of technical assistance (BASATEC) to the revision of the standard UNE-EN ISO 9999:2011.

    Adaptación del modelo de datos de la Base de Datos de Ayudas Técnicas (BASATEC) a la revisión de la norma UNE-EN ISO 9999:2011.

    Funding: CEAPAT.

     

  • DEMANES - Design, Monitoring and Operation of Adaptive Networked Embedded Systems

    Project leaders

    José Fernán Martínez
     

    Proyect code: ART-010000-2012-2 // ARTEMIS-295372

    The goal from DEMANES is to provide a framework, a series of methods based on components and a set of tools for the development of adaptive systems at runtime, that are able to react to changes in themselves, in their environment (State of the battery, availability, and performance of the network connection, availability of external services, etc)the needs of the user (requirements), and in the context. In order to go beyond the study of the State of the art, DEMANES combines the latest advances in systems and control engineering. The concept, methodology and tools developed in DEMANES will be validated and demonstrated in three use cases: transport and intelligent urban environment safe and secure, intelligent management of airports and smart sensors that cooperate in the home.

    El objetivo de DEMANES es proporcionar un marco, una serie de métodos basados en componentes y un grupo de herramientas para el desarrollo de sistemas en tiempo de ejecución adaptativos, que sean capaces de reaccionar a los cambios en sí mismos, en su entorno (estado de la batería, disponibilidad y rendimiento de la conexión de red, disponibilidad de servicios externos, etc), en las necesidades del usuario (requisitos), y en el contexto. Con el fin de ir más allá del estudio del estado arte, DEMANES combina los últimos avances de los sistemas y la ingeniería de control. El concepto, la metodología y herramientas desarrolladas en DEMANES serán validados y demostrados en tres casos de uso: transporte y entorno urbano inteligente seguro y protegido, gestión inteligente de los aeropuertos y los sensores inteligentes que cooperan en el hogar.

    Funding: Ministerio de Industria, Energía y Turismo y Unión Europea.

     

  • e-GOTHAM - Sustainable - Smart Grid Open System for THe Aggregated Control, Monitoring and Management of Energy

    Project leaders

    José Fernán Martínez
     

    Proyect code: ART-010000-2012-3 // ARTEMIS-295378

    e-GOTHAM will define a complete solution for microgrids in the residential, tertiary and industrial sectors that include different configurations of loads, distributed generators and energy storage components.
    To carry out the e-GOTHAM concept, the project will design an open architecture and develop a middleware that enables the needed communications for management and results optimisation.
    The challenge of the middleware produced in e-GOTHAM is to assemble a system which can ensure enough scalability, security, reliability, real time measurements and interoperability so as to lead to the development of a large-scale embedded systems network, a smart data management model, a set of models and algorithms that dynamically correlate energy-related, pollution-related, cost-related and behaviour-related patterns and a just-in-time adaptive communication model that interoperates different protocols to support seamless connectivity across the microgrid.
    e-GOTHAM is a market-oriented project that seeks to meet the needs of the involved market partners, especially power producers and microgrid owners, and to have an influence on consumers and on the authorities who define regulations.
    Finally, e-GOTHAM aims at creating an ecosystem meant to attract those relevant stakeholders who are willing to elaborate on project results so as to generate new products and services and to support the looked-for new aggregated energy demand model even beyond the project lifetime.
    e-GOTHAM is an European researching project co-funded by Artemis JU and the Spanish Ministry of Industry, Energy and Tourism.

    Funding: Ministerio de Industria, Energía y Turismo, Unión Europea.

     

  • HEVC - Hybrid Broadcast Video Services (http://h2b2vs.epfl.ch/)

    Project leaders

    Fernando Pescador
     

    Proyect code: H2B2VS-59272

    H2B2VS aims at investigating the hybrid distribution of TV programs and services over heterogeneous networks: Broadcast and Broadband networks, using the future video compression standard: HEVC.

    This standard, still under construction, will have difficulty to be commercially deployed if new video services or new video formats are not deployed simultaneously.
    However, the Broadcast networks have a limited capacity that does not allow considering easily the broadcasting of bandwidth-demanding new video formats such as 3D or Ultra-HD. Their limited capacity will also be an obstacle to adding new services associated with the broadcast programs.
    Using the broadband network to carry additional information in these programs is a solution. One can consider the following examples: Broadcasting a program on the terrestrial network and sending its complement to 3D or 4K over the IP network, or using the Broadband network to carry sign language translation of a broadcast programme to help deaf people.

    One of the major challenges the project will have to face will be the difference in the Quality of Service encountered on these two types of networks. On Broadcast networks, all parameters are fully controlled by the operator. In contrast, on Broadband networks based on IP technology, parameters such as delay or jitter are not fully mastered.
    Other technologies will also be impacted by this hybrid distribution. For example:

    • At Transport level: DASH, MTM, DVB signalling,
    • At security level: Encryption, watermarking,
    • At network level: CDN.

    The project will also address the interactions between these technologies and will propose solutions to ensure the best Quality of Experience to the end-user. The deployment of a hybrid solution as proposed by the project cannot be a success without contribution to standards. One of the major outcomes of the project will be contributions of some partners of the project to the relevant standardization bodies in order to propose solutions in line with the recommendations issued from the project and that can be deployed in the field for a commercial exploitation.

    Funding: Alcatel Lucent.

     

  • NESSI

    Project leaders

    Juan Garbajosa
     

    SYST plays a major role in NESSI the leading ETP consortium (www.nessi-europe.com and is the sole research body on the NESSI Board. SYST expects to play a full part in a number of major projects contributing to NESSI.

    Funding:

    Alcatel - Lucent, Answare, Atos Origin, ATC, BT, CINI, Engineering Ingegneria Informatica Group, HP, France Telecom, IBM, INRIA, IT Innovation Centre, Nokia Siemens Networks, OW2, SAP AG, Siemens, SINTEF, Software AG, Telecom Italia Group, Telefónica, Thales, TIE, Institute for Computer Science and Business Information Systems.

     

Results 1 - 20 of 63