Desarrollo de un entorno colaborativo para aplicaciones de fusión

[Resumen] El entorno colaborativo desarrollado permite realizar un envío de tareas a ser procesadas en clusters de supercomputación, sin necesidad de que los usuarios de las mismas deban conocer la infraestructura subyacente o estar familirizados con las órdenes de más bajo nivel necesarias para interactuar con estos sistemas.Este trabajo ha sido parcialmente financiado por el Ministerio de Economía y Competitividad, dentro de los proyectos ENE2015-64914-C3-2-R, ENE2015-64914-C3-1-R, ENE2012-38970-C04-03 y DPI2014-55932-C2-2-Rhttps://doi.org/10.17979/spudc.978849749808

Overview of JET Results

AbstrAct Recent advances in data mining allow the automatic recognition of physical phenomena in the databases of fusion devices without human intervention. This is important to create large databases of physical events (thereby increasing the statistical relevance) in an unattended manner. Important examples are the L/H and H/L transitions. In this contribution, a novel technique is introduced to automatically locate H/L transitions in JET by using conformal predictors. The focus is on H/L transitions because typically there is not a clear signature in the time series of the most widely available signals to recognize the change of confinement. Conformal predictors hedge their prediction by means of two parameters: confidence and credibility. The technique has been based on binary supervised classifiers to separate the samples of the respective confinement modes. Results with several underlying classifiers are presented

Providing Collaborative Support to Virtual and Remote Laboratories

Virtual and remote laboratories (VRLs) are e-learning resources that enhance the accessibility of experimental setups providing a distance teaching framework which meets the student's hands-on learning needs. In addition, online collaborative communication represents a practical and a constructivist method to transmit the knowledge and experience from the teacher to students, overcoming physical distance and isolation. This paper describes the extension of two open source tools: (1) the learning management system Moodle, and (2) the tool to create VRLs Easy Java Simulations (EJS). Our extension provides: (1) synchronous collaborative support to any VRL developed with EJS (i.e., any existing VRL written in EJS can be automatically converted into a collaborative lab with no cost), and (2) support to deploy synchronous collaborative VRLs into Moodle. Using our approach students and/or teachers can invite other users enrolled in a Moodle course to a real-time collaborative experimental session, sharing and/or supervising experiences at the same time they practice and explore experiments using VRLs.This work was supported by the Spanish Government under the CICYT Project DPI2007-61068 and the GITE grant of the Technology and Educational Innovation Vice-President Office of the University of Alicante

Latest developments in data analysis tools for disruption prediction and for the exploration of multimachine operational spaces.

In the last years significant efforts have been devoted to the development of advanced data analysis tools to both predict the occurrence of disruptions and to investigate the operational spaces of devices, with the long term goal of advancing the understanding of the physics of these events and to prepare for ITER. On JET the latest generation of the disruption predictor called APODIS has been deployed in the real time network during the last campaigns with the new metallic wall. Even if it was trained only with discharges with the carbon wall, it has reached very good performance, with both missed alarms and false alarms in the order of a few percent (and strategies to improve the performance have already been identified). Since for the optimisation of the mitigation measures, predicting also the type of disruption is considered to be also very important, a new clustering method, based on the geodesic distance on a probabilistic manifold, has been developed. This technique allows automatic classification of an incoming disruption with a success rate of better than 85%. Various other manifold learning tools, particularly Principal Component Analysis and Self Organised Maps, are also producing very interesting results in the comparative analysis of JET and ASDEX Upgrade (AUG) operational spaces, on the route to developing predictors capable of extrapolating from one device to another

Mejora de la calidad docente por la investigación en el sector industrial

Motivación del alumno mediante nuevas metodologías presenciales derivadas de la investigación aplicada y orientadas hacia el emprendimiento en el sector industrial. Las metodologías encaminadas a dar solución en los desarrollos de investigación se utilizan como ejemplos significativos en las materias que forman parte del proyecto

A Ground Control Station for Collaborative Unmanned Surface Vehicles

[ES] El Centro de Control de Tierra (CCT) es uno de los elementos imprescindibles para la supervisión y control de vehículos autónomos que realizan misiones complejas. En la actualidad cada vez hay más aplicaciones donde se utilizan múltiples vehículos autónomos y el tradicional Centro de Control está evolucionando para ser capaz de gestionar diversos vehículos y operadores. Este artículo presenta las características más relevantes de un CCT adaptable y versátil, especialmente diseñado para que un equipo heterogéneo de operadores puedan monitorizar y supervisar el funcionamiento colaborativo de un conjunto heterogéneo de vehículos autónomos. Entre estas características destacan la posibilidad de, según las necesidades de los operadores y de la misión, 1) reconfigurar cuál (y cómo) es la información que se muestra de cada vehículo a cada operador, 2) definir alarmas que atraigan la atención de los operadores ante determinados eventos (y liberen su carga de trabajo mientras estos no se den) y 3) re-asignar en tiempo real la gestión de los vehículos a los diferentes operadores. Para alcanzarlas, se ha realizado un cuidadoso diseño de la arquitectura software del CCT, que se detalla en el artículo y que se encuentra formada por: un módulo de comunicaciones; un módulo planificador de alto nivel; un módulo (replicable en tantos equipos como se desee) de monitorización y supervisión de vehículos; y tantos módulos comandadores como vehículos diferentes existan en la misión. Este CCT ha sido desarrollado dentro del proyecto de investigación SALACOM (Sistema Autónomo de Localización y Actuación ante Contaminantes en el Mar), en el que dos barcos autónomos maniobran de forma colaborativa para desplegar una barrera para la contención de un vertido contaminante en el mar ydonde la incorporación del operador en la supervisión y control de las maniobras de los vehículos es un requisito imprescindible para dar seguridad y confianza a la operación realizada. Finalmente, se presenta un caso de uso del Centro de Control de Tierra donde se realiza una maniobra de seguimiento entre dos vehículos autónomos de superficie.[EN] The Ground Control Station (GCS) is one of the essential elements to supervise and control autonomous vehicles performing complex missions. The increasing number of systems that involve multiple autonomous vehicles is making traditional GCSs evolve to let them handle dierent vehicles and operators. In this article, we present the more relevant properties of a versatile adaptable GCS that has been especially designed to let multiple operators, each using a dierent computer equipment, be in charge of controlling a heterogeneous team of autonomous vehicles. Its main properties are the possibility of 1) reconfiguring which information is displayed to each operator, 2) defining alarms to draw the operators attention when required, and 3) re-assigning, in real-time, the vehicles to dierent operators. These properties are supported by a distributed design of the GCS software architecture, presented in the paper and consistent of: a communication module, a high level planner, replicable monitoring and supervising units, and as many commanders as vehicles within each mission. This GCS has been developed within SALACOM (an autonomous system for locating and acting against sea spills), where two Unmanned Surface Vehicles (USVs) cooperate to collect a sea spill under the supervision of several operators that are responsible of the security of the mission. Finally, this paper also presents a case of use of the GCS within a real-world experiment involving two USVs performing leader-follower formation maneouvres.Los autores del art´ıculo quieren agradecer al Ministerio de Econom´ıa y Competitividad español su apoyo a través del proyecto SALACOM (DPI2013-46665-C2-1-R).Bonache Seco, J.; Dormido Canto, J.; Montalvo Martinez, M.; López-Orozco, J.; Besada Portas, E.; De La Cruz Garcia, J. (2017). Centro de Control de Tierra para Colaboración de Vehículos Autónomos Marinos. Revista Iberoamericana de Automática e Informática industrial. 15(1):1-11. https://doi.org/10.4995/riai.2017.8737OJS111151ASTM, 2017. Committee F41 on unmanned maritime vehicle systems (umvs). [Online] https://www.astm.org/COMMITTEE/F41.htm.ASV, 2017. Asview control system. [Online] http://asvglobal.com/asviewcontrol-system/.Besada-Portas, E., Lopez-Orozco, J. A., Besada, J., Jesus, M., 2011. Multisensor fusion for linear control systems with asynchronous, out-of-sequence and erroneous data. Automatica 47 (7), 1399-1408. https://doi.org/10.1016/j.automatica.2011.02.030Besada-Portas, E., Lopez-Orozco, J. A., de la Cruz, J., 2002. Unified fusion system based on bayesian networks for autonomous mobile robots. In: Information Fusion, 2002. Proceedings of the Fifth International Conference on. Vol. 2. IEEE, pp. 873-880. https://doi.org/10.1109/ICIF.2002.1020900Bonache Seco, J. A., López Orozco, J. A., Besada Portas, E., de la Cruz, J. M., 2016. Centro de control versátil: Estado actual y evolución hacia la adaptabilidad. CEA, pp. 979-986.Bürkle, A., Segor, F., Kollmann, M., Sch¨onbein, R., 2011. Universal ground control station for heterogeneous sensors. Journal On Advances in Telecommunications, IARIA 3 (3), 152-161.Burmeister, H.-C., Bruhn, W., Rødseth, Ø. J., Porathe, T., 2014. Autonomous unmanned merchant vessel and its contribution towards the e-navigation implementation: The munin perspective. International Journal of e-Navigation and Maritime Economy 1, 1-13.Cummings, M. L., How, J. P., Whitten, A., Toupet, O., 2012. The impact of human-automation collaboration in decentralized multiple unmanned vehicle control. Proceedings of the IEEE 100 (3), 660-671. https://doi.org/10.1109/JPROC.2011.2174104de la Cruz, J. M., Lopez-Orozco, A, J., Besada Portas, E., Aranda Almansa, J., 2016. Control de formaciones de vehículos marinos de superficie con restricciones de entrada. CEA, pp. 1044-1051.de la Cruz, J. M., Lopez-Orozco, A, J., Besada Portas, E., Moreno Salinas, D., Aranda Almansa, J., 2014. Seguimiento de caminos para formaciones de vehículos marinos de superficie.de la Cruz, J. M., Lopez-Orozco, J. A., Besada-Portas, E., Aranda-Almansa, J., 2015. A streamlined nonlinear path following kinematic controller. In: 2015 IEEE International Conference on Robotics and Automation (ICRA). IEEE, pp. 6394-6401. https://doi.org/10.1109/ICRA.2015.7140097Heo, J., Kim, S., Kwon, Y., 2016. Design of ground control station for operation of multiple combat entities. Journal of Computer and Communications 4, 66-71. https://doi.org/10.4236/jcc.2016.45010Lalish, E., Morgansen, K. A., 2008. Decentralized reactive collision avoidance for multivehicle systems. In: Proceedings of the 47th IEEE Conference on Decision and Control. IEEE, pp. 1218-1224. https://doi.org/10.1109/CDC.2008.4738894Lapierre, L., Soetanto, D., 2007. Nonlinear path-following control of an auv. Ocean engineering 34 (11), 1734-1744. https://doi.org/10.1016/j.oceaneng.2006.10.019LibrePilot, 2015. Software suite to control multicopter and other rc-models. [Online] https://www.librepilot.org/site/index.html, accedido en marzo de 2017.Lindemuth, M., Murphy, R., Steimle, E., Armitage, W., Dreger, K., Elliot, T., Hall, M., Kalyadin, D., Kramer, J., Palankar, M., et al., 2011. Sea robot assisted inspection. IEEE robotics & automation magazine 18 (2), 96-107. https://doi.org/10.1109/MRA.2011.940994MAVLINK, 2017. Micro air vehicle communication protocol. [Online] http://qgroundcontrol.org/mavlink/start, accedido en Marzo, 2017.Moreno-Salinas, D., Besada-Portas, E., López-Orozco, J., Chaos, D., de la Cruz, J., Aranda, J., 2015. Symbolic regression for marine vehicles identification. IFAC-PapersOnLine 48 (16), 210-216. https://doi.org/10.1016/j.ifacol.2015.10.282Mupparapu, S. S., Chappell, S. G., Komerska, R. J., Blidberg, D. R., Nitzel, R., Benton, C., Popa, D. O., Sanderson, A. C., 2004. Autonomous systems monitoring and control (asmac)-an auv fleet controller. In: Autonomous Underwater Vehicles, 2004 IEEE/OES. IEEE, pp. 119-126.Murphy, R. R., Steimle, E., Griffin, C., Cullins, C., Hall, M., Pratt, K., 2008. Cooperative use of unmanned sea surface and micro aerial vehicles at hurricane wilma. Journal of Field Robotics 25 (3), 164-180. https://doi.org/10.1002/rob.20235Park, S., Deyst, J., How, J. P., 2007. Performance and lyapunov stability of a nonlinear path following guidance method. Journal of Guidance, Control, and Dynamics 30 (6), 1718-1728. https://doi.org/10.2514/1.28957Patterson, M. C., Mulligan, A., Boiteux, F., 2013. Safety and security applications for micro-unmanned surface vessels. In: 2013 OCEANS-San Diego. IEEE, pp. 1-6.QGroundControl, 2017. A uav control station. [Online] http://qgroundcontrol.com/, accedido en Marzo de 2017.Ribas, D., Palomeras, N., Ridao, P., Carreras, M., Mallios, A., 2012. Girona 500 auv: From survey to intervention. IEEE ASME Transactions on Mechatronics 17 (1), 46-53. https://doi.org/10.1109/TMECH.2011.2174065STANAG4586, 2012. Standard interfaces of uav control system (ucs) for nato uav interoperability, ed. 3. NATO standardization agency (nsa). [Online] http://nso.nato.int/nso/nsdd/listpromulg.html.Sutton, R., Sharma, S., Xao, T., 2011. Adaptive navigation systems for an unmanned surface vehicle. Journal of Marine Engineering & Technology 10 (3), 3-20.Walter, B. E., Knutzon, J. S., Sannier, A. V., Oliver, J. H., 2004. Virtual uav ground control station. In: AIAA 3rd Unmanned Unlimited Technical Conference, Workshop and Exhibit. https://doi.org/10.2514/6.2004-6320WGSM, 2017. Wave glider management system. [Online] https://www.liquidrobotics.com/platform/software/

State of the art of control education

La educación en automática es un área madura en la que multitud de profesores e investigadores han trabajado intensamente para afrontar el reto de proporcionar una educación versátil, con una fuerte base científica. Todo ello sin perder de vista las necesidades de la industria; adaptando los contenidos, las metodologías y las herramientas a los continuos cambios sociales y tecnológicos de nuestro tiempo. Este artículo presenta una reflexión sobre el papel de la automática en la sociedad actual, una revisión de los objetivos tradicionales de la educación en automática a través de los trabajos seminales del área y finalmente una revisión de las principales tendencias actuales.Control education is a mature area in which many professors and researchers have worked hard to face the challenge of providing a versatile education, with a strong scientific base. All this without losing sight of the needs of the industry; adapting the contents, methodologies and tools to the continuous social and technological changes of our time. This article presents a reflection on the role of automation in today’s society, a review of the traditional objectives of control education through seminal works in the area and finally a review of the main current trends

Simulator of the JET real-time disruption predictor

A disruption predictor based on support vector machines (SVM) has been developed to be used in JET. The training process uses thousands of discharges and, therefore, high performance computing has been necessary to obtain the models. To this respect, several models have been generated with data from different JET campaigns. In addition, various kernels (mainly linear and RBF) and parameters have been tested. The main objective of this work has been the implementation of the predictor model under real-time constraints. A “C-code” software application has been developed to simulate the real-time behavior of the predictor. The application reads the signals from the JET database and simulates the real-time data processing, in particular, the specific data hold method to be developed when reading data from the JET ATM real time network. The simulator is fully configurable by means of text files to select models, signal thresholds, sampling rates, etc. Results with data between campaigns C23and C28 will be shown

Diagnostico de caries mediante dos herramientas en el grado de Odontología: DIAGNOdent™ pen. e Inteligencia Artificial

Depto. de Odontología Conservadora y PrótesisFac. de OdontologíaFALSEsubmitte