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Dukalski, M. (author), Rovetta, D. (author), van der Linde, S.G. (author), Möller, M. (author), Neumann, N. (author), Phillipson, F. (author)Much of recent progress in geophysics can be attributed to the adaptation of heterogeneous high-performance computing architectures. It is projected that the next major leap in many areas of science, and hence hopefully in geophysics too, will be due to the emergence of quantum computers. Finding a right combination of hardware, algorithms, and...article 2023
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Bontekoe, T. (author), Phillipson, F. (author), van der Schoot, W.E. (author)One of the first fields where quantum computing will likely show its use is optimisation. Many optimisation problems naturally arise in a quadratic manner, such as the quadratic knapsack problem. The current state of quantum computers requires these problems to be formulated as a quadratic unconstrained binary optimisation problem, or QUBO....conference paper 2023
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Phillipson, F. (author)Quantum computing, an emerging paradigm based on the principles of quantum mechan ics, has the potential to revolutionise various industries, including Telecommunications. This paper explores the transformative impact of quantum computing on the telecommunication market, focus ing on its applications in solving computationally intensive problems...article 2023
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Koppen, S. (author), van der Kolk, M. (author), van den Boom, S.J. (author)Real-world structural optimisation problems involve multiple loading conditions and design constraints, with responses typi cally depending on states of discretised governing equations. Generally, one uses gradient-based nested analysis and design approaches to solve these problems. Herein, solving both physical and adjoint problems dominates...article 2022
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Wezeman, R.S. (author), Chiscop, I. (author), Anitori, L. (author), van Rossum, W.L. (author)Compressive sensing is a signal processing technique used to acquire and reconstruct sparse signals using significantly fewer measurement samples. Compressive sensing requires finding the most sparse solution to an underdetermined linear system, which is an NP-hard problem and as a consequence in practise is only solved approximately. In our...conference paper 2022
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van der Ploeg, C. (author), Alirezaei, M. (author), van de Wouw, N. (author), Esfahani, P.M. (author)In this article, we propose a tractable nonlinear fault estimation filter along with explicit performance bounds for a class of linear dynamical systems in the presence of both additive and nonlinear multiplicative faults. We consider the case, where both faults may occur simultaneously and through an identical dynamical relationship, a setting...article 2022
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de Gijsel, S.L. (author), Vijn, A.R.P.J. (author), Tan, R.G. (author)This paper proposes an algorithm to localize a magnetic dipole using a limited number of noisy measurements from magnetic field sensors. The algorithm is based on the theory of compressed sensing, and exploits the sparseness of the magnetic dipole in space. Beforehand, a basis consisting of magnetic dipole fields belonging to individual dipoles...article 2022
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Zhang, Y. (author), Zhang, D.W. (author), Lacoste-Julien, S. (author), Burghouts, G.J. (author), Snoek, C.G.M. (author)Most set prediction models in deep learning use set-equivariant operations, but they actually operate on multisets. We show that set-equivariant functions cannot represent certain functions on multisets, so we introduce the more appropriate notion of multiset-equivariance. We identify that the existing Deep Set Prediction Network (DSPN) can be...conference paper 2022
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- Phillipson, F. (author), Bhatia, H.S. (author) conference paper 2021
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- Phillipson, F. (author), Chiscop, I. (author) conference paper 2021
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Natali, A. (author), Isufi, E. (author), Coutino, M. (author), Leus, G. (author)Topology identification is an important problem across many disciplines, since it reveals pairwise interactions among entities and can be used to interpret graph data. In many scenarios, however, this (unknown) topology is time-varying, rendering the problem even harder. In this paper, we focus on a time-varying version of the structural...conference paper 2021
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Yang, S. (author), Khelifi, S. (author), Brammertz, G. (author), Choubrac, L. (author), Barreau, N. (author), Bolt, P. (author), Vermang, B. (author), Lauwaert, J. (author)Numerical models are proposed that are able to describe the current-voltage (I-V) behaviour of two Cu2ZnGeSe4 (CZGSe) solar cells measured under different illuminations at 300 K. In the model, the doping density of the CZGSe layer and the mobility of carriers are determined by capacitance-voltage (C-V) profiling and AC field Hall effect...article 2020
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- de Koning, W.J. (author), Phillipson, F. (author), Chiscop, I. (author) conference paper 2020
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- van Houte, R. (author), Mulderij, J. (author), Attema, T. (author), Chiscop, I. (author), Phillipson, F. (author) article 2020
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Engels, W.P. (author), van der Hoek, D. (author), Yu, W. (author), Reyes Baez, R. (author)Many wind turbines are still controlled using gain scheduled, PI(D) controllers. Another option is to use a state feedback controller, such as LQG control. However, for wind turbines that is not straight forward solution, because the system is non-linear and the impact of pitching on the states varies in time. This paper presents a variation on...conference paper 2020
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Ortega del Vecchyo, M.R. (author), Phillipson, F. (author), Sangers, A. (author)Multiple different attributes are important in the container-to-mode assignment in a transportation network. This paper proposes an interactive multi-objective optimisation approach for planners of those transportation networks. This approach offers a range of solutions according to her/his preferences, and offers the opportunity to seek for new...conference paper 2019
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Nair, V. (author), Litjens, R. (author), Zhang, H. (author)A suitability assessment and performance optimisation is presented of narrowband Internet of Things (NB-IoT) cellular technology for use in smart energy distribution networks. The focus is on the reliable and timely delivery of outage restoration and management (ORM) messages at the event of a local or regional power outage. Both the cellular NB...article 2019
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Saffre, F. (author), Gianini, G. (author), Hildmann, H. (author), Davies, J. (author), Bullock, S. (author), Damiani, E. (author), Deneubourg, J.L. (author)We investigate the hypothesis that long-term memory in populations of agents can lead to counterproductive emergent properties at the system level. Our investigation is framed in the context of a discrete, one-dimensional road-traffic congestion model: we investigate the influence of simple cognition in a population of rational commuter agents...article 2019
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van Leeuwen, D. (author), Bosman, J.W. (author), Dugundji, E.R. (author)In this study, we identify spatial regions based on an empirical data set consisting of time-dependent origin-destination (OD) pairs. These OD pairs consist of electronic traces collected from smartphone data by Google in the Amsterdam metropolitan region and is aggregated by the volume of trips per hour at neighbourhood level. By means of...article 2019
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Filiciotto, L. (author), Marquez-Medina, M.D. (author), Pineda, A. (author), Balu, A.M. (author), Romero, A.A. (author), Angelici, C. (author), de Jong, E. (author), van der Waal, J.C. (author), Luque, R. (author)The use of a biorefinery co-product, such as humins, in combination with an iron precursor in a solvent-free method yields a catalytic material with potential use in selective oxidative cleavage reactions. In particular, this catalyst was found active in the hydrogen-peroxide assisted oxidation of a naturally extracted molecule, isoeugenol, to...article 2019