Ara es mostren els items 1-12 de 70

    • Fast urban flow predictions through Convolutional Neural Networks 

      Calafell Sandiumenge, Joan; Bustillo, Jaime; Gomez Gonzalez, Samuel; Ramírez Jávega, Francisco; Radhakrishnan, Sarath; Lehmkuhl Barba, Oriol (2023)
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      Having real-time and accurate numerical predictions of urban wind flow can be extremely useful for developing tools intended to improve citizens’ life quality and health. However, traditional methods such as Computational ...
    • Design, implementation and testing of a 24 GHz 5G band RFI detection payload for a PocketQube 

      Gràcia i Solà, Guillem; Podaru, Stefan; Alcántara Villaverde, Adrián; Garcia Morilla, Alejandro; Contreras Benito, Luis Juan; Perea Barbé, Alexandre; Camps Carmona, Adriano José (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      Due to the recent licensing of the 26 GHz 5G communications bands, the passive microeaves Remote Sensing community is concerned that spurious out-of-band emissions could interfere with the measurements acquired in the 23.8 ...
    • Description of the Rita payload aboard AlainSat-1, A 3U educational Cubesat 

      Gonga Siles, Amadeu; Pérez Portero, Adrián; Fernandez Capon, Lara Pilar; Garcia Morilla, Alejandro; Gràcia i Solà, Guillem; Contreras Benito, Luis Juan; Ramos Castro, Juan José; Camps Carmona, Adriano José; Jallad, Abdul-Halim (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      The Remote sensing and Interference detector with radiome-Try and vegetation Analysis (RITA) payload was selected in 2019 the 2nd GRSS Student Grand Challenge to fly onboard AlainSat-1, a 3U CubeSat developed at the National ...
    • Characterization and verification of the Rita payload hyperspectral imager in Alainsat-1, as part of the 2nd IEEE GRSS student grand challenge 

      Contreras Benito, Luis Juan; Gonga i Siles, Amadeu; Crisan, Ieremia; Pérez Portero, Adrián; Garcia Morilla, Alejandro; Gràcia i Solà, Guillem; Ramos Castro, Juan José; Jallad, Abdul-Halim; Camps Carmona, Adriano José (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      The Remote sensing and Interference detector with radiome-Try and vegetation Analysis (RITA Payload) [1] is a development of the UPC NanoSat Lab, aimed at Earth Observation (EO). It is one of the winners of the Second IEEE ...
    • Numerical assessment of the effect of hydrogen enrichment of a technically premixed swirl-stabilized natural gas flame 

      Pachano Prieto, Leonardo; Surapaneni, Anurag; Both, Ambrus; Ax, Holger; Petry, Niklas; Boxx, Isaac; Mira Martínez, Daniel (American Society of Mechanical Engineers (ASME), 2023)
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      High-fidelity large eddy simulations (LES) are conducted for lean natural gas flames with different levels of hydrogen enrichment in a technically premixed swirl-stabilized combustor (PRECCINSTA) operated at atmospheric ...
    • Large-scale coherent structures in an asymmetrically heated channel flow 

      García Berenguer, Marina; Silva, Lucas Gasparino Ferreira da; Lehmkuhl Barba, Oriol; Rodríguez Pérez, Ivette María (European Research Community on Flow, Turbulence, and Conbustion (ERCOFTAC), 2023)
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      A compressible direct numerical simulation (DNS) has been conducted to analyze the behavior of low-speed flows submitted to a strong temperature gradient in a fully developed and asymmetrically heated turbulent channel ...
    • Propellant–free station–keeping design of a solar sail around the Sun–Earth collinear equilibrium points 

      Duan, Xun; Gómez Muntané, Gerard; Masdemont Soler, Josep; Yue, Xiaokui (International Astronautical Federation, 2022)
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      In this paper, we focus on the propellant–free station-keeping design of a solar sail spacecraft around the unstable Sun–Earth collinear equilibrium point L2. The dynamical model considered is the Sun–Earth restricted ...
    • Pre-tactical prediction of atfm delay for individual flights 

      Mas Pujol, Sergi; De Falco, Paolino; Salamí San Juan, Esther; Delgado Muñoz, Luis (Institute of Electrical and Electronics Engineers (IEEE), 2022)
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      Airlines develop an operation plan, during the day prior to operations (D-1), to identify potential network issues and prepare potential pre-tactical preventing measures such as aircraft tail swapping or crew reassignment ...
    • Dispatcher3 – Machine learning for efficient flight planning: approach and challenges for data-driven prototypes in air transport 

      Delgado Muñoz, Luis; Mas Pujol, Sergi; Skorobogatov, Georgy; Argerich, Clara; Gregori, Ernesto (2022)
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      Machine learning techniques to support decisionmaking processes are in trend. These are particularly relevant in the context of flight management where large datasets of planned and realised operations are available. ...
    • Data-driven wall modeling for Large Eddy Simulation of non-equilibrium flows: preliminary studies 

      Radhakrishnan, Sarath; Lehmkuhl Barba, Oriol (Parallel Computational Fluid Dynamics (ParCFD), 2022)
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      The availability of high fidelity data due to the recent developments in high-performance computing(HPC), has opened new doors for wall modeling in Large Eddy Simulation(LES). By augmenting the physics-based model with ...
    • Monitoring coastal storms’ effects on the Trabucador barrier beach (Ebro Delta) through Sentinel-2 derived shorelines 

      Angelats Company, Eduard; Soriano González, Jesús; Puig i Polo, Càrol; Guillén Aranda, Jorge; Falqués Serra, Albert; Ribas Prats, Francesca (2022)
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      The vulnerable Trabucador barrier beach has recently suffered significant storm-induced geomorphological changes. This study presents the monitoring of its shoreline during storm events for assessing their effects on beach ...
    • Alternative 4D trajectories for the avoidance of weather- and contrail-sensitive volumes 

      Sáez García, Raúl; Cabrera Ramírez, Bryan Gustavo; Melgosa Farrés, Marc; Prats Menéndez, Xavier; Riccio, Angelo; Verbeek, René; van den Dungen, Nick (Single European Sky ATM Research (SESAR), 2022)
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      We present a framework to generate, in a multi-aircraft environment, 4D optimized trajectories in a scenario with several weather constraints obtained with advanced weather prediction models. We focus on the trajectory ...