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Vakili, S. (author), Khosravi, M. (author), Mohajerin Esfahani, P. (author), Mazo, M. (author)
We study the problem of identifying a linear time-varying output map from measurements and linear time-varying system states, which are perturbed with Gaussian observation noise and process uncertainty, respectively. Employing a stochastic model as prior knowledge for the parameters of the unknown output map, we reconstruct their estimates...
journal article 2024
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de Koster, P.B.J. (author), Koch, Jonas (author), Schulz, Olaf (author), Pachnicke, Stephan (author), Wahls, S. (author)
Recently, a nonlinear Fourier transform-based Kerr-nonlinearity identification algorithm was demonstrated for a 1000 km NZDSF link with accuracy of 75%. Here, we demonstrate an accuracy of 99% over 1600 km SSMF. Reasons for improved accuracy are discussed.
conference paper 2022
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Heiligers, M.J. (author), Guo, J. (author), Vermeulen, J.G.P. (author)
Through numerous survey efforts over the past decades, humanity has achieved substantial knowledge of the near-Earth asteroid (NEA) population. Nevertheless, survey completeness at small asteroid sizes is still limited, and unannounced impacts, such as the 2013 Chelyabinsk meteor, are common enough to warrant further identification efforts....
conference paper 2022
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Dreef, H. J. (author), Shi, S. (author), Cheng, X. (author), Donkers, M. C.F. (author), Van den Hof, P. M.J. (author)
Identifiability of linear dynamic networks requires the presence of a sufficient number of external excitation signals. The problem of allocating a minimal number of external signals for guaranteeing generic network identifiability in the full measurement case has been recently addressed in the literature. Here we will extend that work by...
journal article 2022
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Papanastasiou, V. S. (author), Trommel, R. P. (author), Harmanny, R. I.A. (author), Yarovoy, Alexander (author)
For the first time identification of human individuals using micro-Doppler (m-D) features measured at X-band has been demonstrated. Deep Convolutional Neural Networks (DCNNs) have been used to perform classification. Inspection and visualization of the classification results were performed using Uniform Manifold Approximation and Projection ...
conference paper 2021
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Surkatti, Riham (author), Al Disi, Zulfa A. (author), El-Naas, Muftah H. (author), Zouari, Nabil (author), van Loosdrecht, Mark C.M. (author), Onwusogh, Udeogu (author)
The gas-to-liquid (GTL) process generates considerable amounts of wastewater that are highly acidic and characterized by its high chemical oxygen demand (COD) content, due to the presence of several organic pollutants, such as alcohols, ketones, aldehydes, and fatty acids. The presence of these organics in the process water may lead to...
journal article 2021
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de Koster, P.B.J. (author), Koch, Jonas (author), Pachnicke, Stephan (author), Wahls, S. (author)
First experimental results on the characterisation of the nonlinear fibre coefficient using nonlinear Fourier transforms are reported for a 1000 km NZDSF fibre link. No special training signals were used. Instead, conventional pulse-shaped QPSK symbols were transmitted.
conference paper 2021
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Dabrowski, M.M. (author), Stead, D. (author), Mashhoodi, B. (author)
EU cohesion policy, supporting a variety of projects that support regional economic development and contribute to betterment of quality of life, can be considered as a tool that is contributing to the development of a ‘sense of community’ among the EU citizens and shaping the perceptions of the EU. By investing in projects across the European...
book chapter 2020
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van Bergen, Thibaut (author), Ishiyama, Rui (author), Makino, Kengo (author), Kudo, Yuta (author), Takahashi, Toru (author), Goosen, J.F.L. (author)
This paper presents a novel framework and its prototype tool for indexing and retrieving specific fragments of voice recordings obtained during discussions about physical objects such as text documents, pictures, or 3D models. When a specific part of an object is mentioned, it is tagged with an ink dot that is immediately registered in a...
conference paper 2019
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Gunes, Bilal (author)
doctoral thesis 2018
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Lopez Romero, M.A. (author), Prieto-Arranz, Javier (author), Traver, Jose Emilio (author), Hunt, A. (author), Hassan HosseinNia, S. (author), Tejado, Ines (author), Vinagre, Blas M. (author)
Ionic polymer metal composite (IPMC) actuators have promising applications in robotics and medicine in a not distance future, which will require a big knowledge in different fields, such as, manufacturing, material characterization and control theory. In this paper, frequency response of several IPMC actuators, cut from the same bulk IPMC sheet...
conference paper 2018
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Lepot, M.J. (author), Aubin, Jean Baptiste (author), Clemens, F.H.L.R. (author), Mašić, Alma (author)
UV/Vis spectrophotometers have been used to monitor water quality since the early 2000s. Calibration of these devices requires sampling campaigns to elaborate relations between recorded spectra and measured concentrations. In order to build robust calibration data sets, several spectra must be recorded per sample. This study compares two...
journal article 2017
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Sánchez Gómez, S. (author), Metrikine, A. (author)
The aim of this paper is to identify the local energy dissipation in a lab-scale structure by means of the energy flow analysis. In most of the existing approaches the damping is identified either in terms of the modal damping factors or at the material scale. In this paper, an alternative method to these global and material-based approaches...
conference paper 2017
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Kahrobaei, S.S. (author)
doctoral thesis 2016
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Khalate, A.A. (author)
In recent years, inkjet technology has emerged as a promising manufacturing tool. This technology has gained its popularity mainly due to the facts that it can handle diverse materials and it is a non-contact and additive process. Moreover, the inkjet technology offers low operational costs, easy scalability, digital control and low material...
doctoral thesis 2013
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Van Goor, B. (author), Lindenbergh, R.C. (author), Soudarissanane, S.S. (author)
It has been demonstrated that surface changes in the order of millimeters are detectable using terrestrial laser scanning. In practice however, it is still virtually impossible to detect such small changes from for example repeated scans of a complex industrial scene. The three main obstructions are, first, a priori uncertainty on what objects...
conference paper 2011
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Brinkkemper, O. (author), Van der Maaten, L.J.P. (author), Boon, P. (author)
Despite their name, the identification of seeds of Myosotis species (forget-me-not) has hitherto received little attention from archaeobotanists. In an attempt to assemble a collection of reliable identification criteria, digital image analysis was applied to photographs of Myosotis seeds by means of Fovea Pro 4.0. This program computes 23...
journal article 2011
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De Vlugt, E. (author), Van Eesbeek, S. (author), Baines, P. (author), Hilte, J. (author), Meskers, C.G.M. (author), De Groot, J.H. (author)
Muscles behave as elastic springs during the initial strain phase, indicated as short range stiffness (SRS). Beyond a certain amount of strain the muscle demonstrates a more viscous behavior. The strain at which the muscle transits from elastic- to viscous-like behavior is called the elastic limit and is believed to be the result of breakage of...
journal article 2011
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Van Oort, E.R. (author)
There exist many examples of aircraft incidents in which the pilots have successfully used the remaining control authority over an aircraft to save the airframe and its passengers and cargo from apparently hopeless failure conditions. Unfortunately, the opposite is also true. Several accidents happened in which the crew was not able to save the...
doctoral thesis 2011
document
Broersen, P.M.T. (author)
The sample autocorrelation function is defined by the mean lagged products (LPs) of random observations. It is the inverse Fourier transform of the raw periodogram. Both contain the same information, and the quality of the full-length sample autocorrelation to represent random data is as poor as that of a raw periodogram. The autoregressive (AR)...
journal article 2009
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