Searched for: +
(1 - 20 of 41)

Pages

document
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
document
Vermeulen, Arjan (author)
For several decades, humanity has worked on cataloguing the population of near-Earth asteroids (NEA's). Knowledge of these small members of the Solar system not only helps in defending Earth from asteroid impacts; study of the population might also provide valuable scientific insights, and open economic possibilities through developments such as...
master thesis 2022
document
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
document
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
document
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
document
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
document
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
document
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
document
Žnidaršič, L.Y.D. (author)
A fundamental task of intelligent and autonomous robots is to infer from observations the state of the world. This inference is generally achieved by employing a filter, which consists of a model and filtering law. Learning this model and filtering law from observations is another fundamental part of robotics, and is generally referred to as...
master thesis 2020
document
Martinus, Tom (author)
Dynamic model parameters (e.g. governor) are uncertain and hard to validate. A possible solution can be the usage of parameter identification techniques. So far parameter identification techniques have proved their potential in identifying model parameters on model scale, but this has never been applied on a full-scale propulsion system. During...
master thesis 2020
document
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
document
Pliakis, Alexandros (author)
Pushed by technology and international regulations the world of identities is rapidly changing. Among others, the Dutch government is obliged to keep up. In line with these developments, a special facility for execution of identification processes for crime and migration purposes was nationally commissioned in 2015, called the ‘’Basisvoorziening...
master thesis 2019
document
Papanastasiou, Vasileios (author)
The radar micro-Doppler (m-D) signature of human gait has already been used successfully for a few classification tasks of human gait, for instance walking versus running and determining the number of humans under observation. owever, the more challenging problem of personnel identification has not been solved yet. The aim of this study is to...
master thesis 2019
document
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
document
Gunes, Bilal (author)
doctoral thesis 2018
document
Kerklaan, Martijn (author)
The dynamic relation between the displacement and reaction torque of the human joint is known as joint impedance. Properly quantifying joint impedance has medical potential in the diagnosis, understanding and modelling of movement disorders associated with neuromuscular conditions like cerebral palsy, stroke, dystonia and old age. The...
master thesis 2018
document
Saâdi, Skander (author)
By establishing a phenomenological frame, this research paper demonstrates that the feeling of alienation towards the modern built environment originates from the failure of this built environment to allow man to identify himself with his own human condition, abstract ideas and natural environment. The study focuses on materials as primary...
student report 2018
document
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
document
Sanders, Job (author)
Medical Asset Management (MAM), track and tracing of medical instruments throughout a hospital, is very comprehensive and complicated. To implement such a system on individual instrument level, a technique that can create Unique Device Identification (UDI) codes is needed. Current UDI systems, such as RFID and barcode scanning, do not suffice....
master thesis 2017
document
Vimanyu Kumar, Vimanyu (author)
The growing importance of renewable energy to meet the demands of growing population has driven much focus for research in the wind energy sector. Currently most of the power production in the wind energy sector is done using the Horizontal Axis Wind Turbine (HAWT). due to its higher efficiency and reliability as compared to Vertical Axis Wind...
master thesis 2017
Searched for: +
(1 - 20 of 41)

Pages