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Wang, K. (author), Vanassche, S. (author), Ribeiro, A. (author), Peters, M. (author), Oseyran, J. (author)
One of the expected key outcomes of the Horizon 2020 BAMB (Buildings As Material Banks) project is new business models for material circularity. The team has interviewed four “frontrunner” cases which have pioneered in incorporating elements of building circularity. The study included well-known cases such as the new Venlo city hall (the...
conference paper 2017
document
Ribeiro, Alexandra (author), Duarte De Almeida, José-Paulo (author), Ellul, Claire (author)
3D visualisation is a graphical way to identify and spatially communicate the complexity of a large number of real life situations of overlapping and encroachments in 2D or 3D land and property interests (e.g., buildings with complex architecture, infrastructures above or below Earth surface, natural resources and corresponding rights)....
conference paper 2014
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Debacker, Wim (author), Manshoven, Saskia (author), Peters, Martijn (author), Ribeiro, Andre (author), De Weerdt, Yves (author)
The built environment is considered as a key sector in which circular economy can be implemented. Within the H2020 project “Building as Material Banks” (BAMB), two innovative solutions are being forward to support this transition: i.e. Materials Passports and Reversible Building Design Protocols. Based on desk research and interviews with...
conference paper 2017
document
Cabral, L. (author), Ribeiro, S. (author), Barreto, M (author), Fajer, M. (author), Pereira, M. (author), Santos, C. (author)
This article describes a Group Discussion ocurred on the I National Congress of the Brazilian Aviation Psychology Association (ABRAPAV), in 2016. Among 158 participants on the event, 146 took part of this Group Discussion: 75 psychologists; 6 Psychology students; 25 other aviation profissionals; 40 professionals with unidentified formation. They...
conference paper 2019
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Badea, C. (author), Morfin Veytia, A. (author), Ribeiro, M.J. (author), Doole, M.M. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
Road traffic delay and urban overcrowding are increasing rapidly all over the world. As a result, several companies have proposed the use of small unmanned aerial vehicles (sUAVs) as an alternative to road-based transportation. These small autonomous drones are expected to operate within a thin airspace band (Very Low Level) in high traffic...
conference paper 2021
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Caranti, L. (author), Ribeiro, M.J. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
The capacity of the current system of air traffic is rapidly reaching a limit with the increasing demand for air transportation. Expected future traffic densities not only make automated conflict detection and resolution a necessity, but also force a re-evaluation of coordination elements to decrease conflict rate and severity. It has been...
conference paper 2021
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Panchal, Isha (author), Metz, I.C. (author), Ribeiro, M.J. (author), Armanini, S.F. (author)
With the rise of new and innovative Urban Air Mobility solutions, there also arises a need to integrate these into the existing airspace. Current airspace users include conventional civil, commercial and general aviation, military air users, police and emergency services as well as a plethora of avian life. Planned additions to the airspace are...
conference paper 2022
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Groot, D.J. (author), Ribeiro, M.J. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
Current estimates show that the presence of unmanned aviation is likely to grow exponentially over the course of the next decades. Even with the more conservative estimates, these expected high traffic densities require a re-evaluation of the airspace structure to ensure safe and efficient operations. One structure that scored high on both the...
conference paper 2022
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Badea, C. (author), Groot, D.J. (author), Morfin Veytia, A. (author), Ribeiro, M.J. (author), Dalmau, Ramon (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
Air traffic demand has increased at an unprecedented rate in the last decade (albeit interrupted by the COVID pandemic), but capacity has not increased at the same rate. Higher levels of automation and the implementation of decision-support tools for air traffic controllers could help increase capacity and catch up with demand. The air traffic...
conference paper 2022
document
Groot, D.J. (author), Ribeiro, M.J. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
The number of unmanned aircraft operating in the airspace is expected to grow exponentially during the next decades. This will likely lead to traffic densities that are higher than those currently observed in civil and general aviation, and might require both a different airspace structure compared to conventional aviation, as well as different...
conference paper 2023
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Li, H. (author), Ribeiro, M.J. (author), Santos, Bruno F. (author), Tseremoglou, I. (author)
Aircraft maintenance scheduling is a focus point for airlines. Maintenance is essential to ensure the airworthiness of aircraft, but it comes at the cost of rendering them unavailable for operations. In current operations, aircraft maintenance scheduling must often be updated to include time for non-routine and non-schedule tasks. These non...
conference paper 2024
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Ribeiro, M.J. (author), Tseremoglou, I. (author), Santos, Bruno F. (author)
Despite its success in various research domains, Reinforcement Learning (RL) faces challenges in its application to air transport operations due to the rigorous certification standards of the aviation industry. The existing regulatory framework fails to provide adequate, acceptable means of compliance for RL applications, and thus, there is no...
conference paper 2024
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Ribeiro, M.J. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
The use of drones for applications such as package delivery, in an urban setting, would result in traffic densities that are orders of magnitude higher than any observed in manned aviation. Current geometric resolution models have proven to be very efficient at relatively moderate densities. However, at higher densities, performance is hindered...
conference paper 2020
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Ribeiro, M.J. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
The use of drones for applications such as package delivery, in an urban setting, would result in traffic densities that are orders of magnitude higher than any observed in manned aviation. Current geometric resolution models have proven to be very efficient. However, at the extreme densities envisioned for such drone applications, performance...
conference paper 2020
document
Ribeiro, M.J. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
The use of drones for applications such as package delivery, in an urban setting, would result in traffic densities that are orders of magnitude higher than any observed in manned aviation. Such densities not only make automated conflict detection and resolution a necessity, but it will also force a reevaluation of aspects such as centralised vs...
conference paper 2020
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Cain, Sebastian (author), Torens, Christoph (author), Juchmann, Patrick (author), Volkert, Andreas (author), Tomasello, Filippo (author), Natale, Matteo (author), Vreeken, Joost (author), Ribeiro, M.J. (author), Ellerbroek, Joost (author)
Unmanned aircraft systems (UAS) have been in civil use for several years. A new risk-based approach to approval was developed by the Joint Authorities for Rulemaking of Unmanned Systems (JARUS) which relies on the so-called Specific Operations Risk Assessment (SORA) for the specific category. Operational authorization is based on the assessment...
conference paper 2021
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Segarra, Santiago (author), Marques, Antonio G. (author), Leus, G.J.T. (author), Ribeiro, Alejandro (author)
A novel scheme for sampling graph signals is proposed. Space-shift sampling can be understood as a hybrid scheme that combines selection sampling -- observing the signal values on a subset of nodes - and aggregation sampling - observing the signal values at a single node after successive aggregation of local data. Under the assumption of...
conference paper 2016
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Ruiz, Luana (author), Gama, Fernando (author), Ribeiro, Alejandro (author), Isufi, E. (author)
Graph convolutional neural networks (GCNNs) learn compositional representations from network data by nesting linear graph convolutions into nonlinearities. In this work, we approach GCNNs from a state-space perspective revealing that the graph convolutional module is a minimalistic linear state-space model, in which the state update matrix is...
conference paper 2021
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Gama, Fernando (author), Marques, Antonio G. (author), Leus, G.J.T. (author), Ribeiro, Alejandro (author)
Convolutional neural networks (CNNs) restrict the, otherwise arbitrary, linear operation of neural networks to be a convolution with a bank of learned filters. This makes them suitable for learning tasks based on data that exhibit the regular structure of time signals and images. The use of convolutions, however, makes them unsuitable for...
conference paper 2019
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Ribeiro, M.J. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
In the coming years, aviation will have to cope with an increase in the number of aircraft, and of drones purchased in the open market. The human intervention of Air Traffic Management (ATM) will be overburden with guaranteeing flight safety with hundreds of manned aircraft and Unmanned Aerial Vehicles (UAVs) operating simultaneously. Conflict...
conference paper 2019
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