Searched for: subject:"dimensionering"
(1 - 20 of 233)

Pages

document
Saeedifar, M. (author), Saleh, M.A.S.N. (author), El-Dessouky, Hassan M. (author), Teixeira De Freitas, S. (author), Zarouchas, D. (author)
This study is devoted to the damage characterization of Non-Crimp Fabric (NCF), 2D plain-woven (2D-PW) and 3D orthogonal plain-woven (ORT-PW) carbon/epoxy laminates, subjected to compression after multiple-impact loading, using Acoustic Emission (AE). The ultrasonic C-scan images showed that the interlaminar damage area induced by the single and...
journal article 2020
document
Löthman, Per A. (author), Hageman, Tijmen A.G. (author), Elwenspoek, Miko C. (author), Krijnen, Gijs J.M. (author), Mastrangeli, M. (author), Manz, Andreas (author), Abelmann, Leon (author)
The extent to which one can use a thermodynamic description of turbulent flow as a source of stochastic kinetic energy for 3D self‐assembly of magnetically interacting macroscopic particles is investigated. It is confirmed that the speed of the objects in the flow field generated in this system obeys the Maxwell–Boltzmann distribution, and their...
journal article 2020
document
Xu, S. (author), Kooij, B.J. (author), Yarovoy, Alexander (author)
The joint Doppler and Direction-of-Arrival (DOA) estimation of moving targets using an (Ultra-)Wideband (UWB) frequency modulated continuous-wave (FMCW) antenna array radar is investigated. Besides the well-known range migration problem, another concern for wideband signals is the DOA estimation problem. For the first time, both problems are...
journal article 2020
document
Shen, Qiaomu (author), Wu, Yanhong (author), Jiang, Yuzhe (author), Zeng, Wei (author), Lau, Alexis K.H. (author), Vilanova Bartroli, A. (author), Qu, Huamin (author)
Recent attempts at utilizing visual analytics to interpret Recurrent Neural Networks (RNNs) mainly focus on natural language processing (NLP) tasks that take symbolic sequences as input. However, many real-world problems like environment pollution forecasting apply RNNs on sequences of multi-dimensional data where each dimension represents an...
conference paper 2020
document
Tronchin, Lamberto (author), Merli, Francesca (author), Manfren, Massimiliano (author), Nastasi, B. (author)
During the renovation of auditoria and concert halls, the acoustic quality is normally evaluated from measurements of impulse responses. One possibility for evaluating the acoustic quality from the measurements (the simulations) consists of convolving anechoic music with the measured (or simulated) impulse responses. In this way, a psycho...
journal article 2020
document
Karagoz, Ridvan (author), Batselier, K. (author)
This article introduces the Tensor Network B-spline (TNBS) model for the regularized identification of nonlinear systems using a nonlinear autoregressive exogenous (NARX) approach. Tensor network theory is used to alleviate the curse of dimensionality of multivariate B-splines by representing the high-dimensional weight tensor as a low-rank...
journal article 2020
document
Kadeethum, T. (author), Nick, H.M. (author), Lee, S. (author), Ballarin, F. (author)
This paper presents the enriched Galerkin discretization for modeling fluid flow in fractured porous media using the mixed-dimensional approach. The proposed method has been tested against published benchmarks. Since fracture and porous media discontinuities can significantly influence single- and multi-phase fluid flow, the heterogeneous and...
journal article 2020
document
van Valenberg, W. (author), Klein, S. (author), Vos, F.M. (author), Koolstra, Kirsten (author), van Vliet, L.J. (author), Poot, D.H.J. (author)
Quantitative MRI methods that estimate multiple physical parameters simultaneously often require the fitting of a computational complex signal model defined through the Bloch equations. Repeated Bloch simulations can be avoided by matching the measured signal with a precomputed signal dictionary on a discrete parameter grid (i.e. lookup table...
journal article 2020
document
Truong, L. (author), Lindenbergh, R.C. (author)
This paper proposes a framework to automatic extract structural elements of reinforced concrete buildings from laser scanning data, which can be used in dimensional quality control and surface defect identification. The framework deploys both spatial information of a point cloud and contextual knowledge of building structures to extract the...
journal article 2020
document
Moyo, Welldone (author), Chaukura, Nhamo (author), Motsa, Machawe M. (author), Msagati, Titus A.M. (author), Mamba, Bhekie B. (author), Heijman, Sebastiaan (author), Nkambule, Thabo T.I. (author)
The removal dynamics of biodegradable dissolved organic carbon (BDOC) and natural organic matter (NOM) polarity fractions at a water treatment plant (WTP) in South Africa was studied using UV-Vis absorbance, fluorescence excitation-emission matrix, and two-dimensional synchronous fluorescence spectroscopy (SFS). This study gave insights into...
journal article 2020
document
Pezzotti, N. (author), Thijssen, J.G.L. (author), Mordvinstev, Alexander (author), Höllt, T. (author), Van Lew, B. (author), Lelieveldt, B.P.F. (author), Eisemann, E. (author), Vilanova Bartroli, A. (author)
In recent years the t-distributed Stochastic Neighbor Embedding (t-SNE) algorithm has become one of the most used and insightful techniques for exploratory data analysis of high-dimensional data. It reveals clusters of high-dimensional data points at different scales while only requiring minimal tuning of its parameters. However, the...
journal article 2020
document
Ðurasević, M. (author), Jakobovic, Domagoj (author), Martins, Marcella Scoczynski Ribeiro (author), Picek, S. (author), Wagner, Markus (author)
Genetic programming is an often-used technique for symbolic regression: finding symbolic expressions that match data from an unknown function. To make the symbolic regression more efficient, one can also use dimensionally-aware genetic programming that constrains the physical units of the equation. Nevertheless, there is no formal analysis of...
conference paper 2020
document
Wang, Z. (author), Hut, R.W. (author), van de Giesen, N.C. (author)
Particle filters are non-Gaussian filters, which means that the assumption that the error distribution of the ensemble should be Gaussian is unnecessary. Like the ensemble Kalman filter, particle filters are based on the Monte Carlo approximation to represent the distribution of model states. It requires a substantial number of particles to...
journal article 2020
document
Bodnar, Taras (author), Mazur, Stepan (author), Parolya, N. (author)
In this paper, we consider the asymptotic distributions of functionals of the sample covariance matrix and the sample mean vector obtained under the assumption that the matrix of observations has a matrix-variate location mixture of normal distributions. The central limit theorem is derived for the product of the sample covariance matrix and...
journal article 2019
document
Wang, J. (author), Yarovoy, Alexander (author)
In this paper, we propose an Elevation-Radial scanned Synthetic Aperture Radar (E-RadSAR) for forward-looking ground penetrating radar (GPR) imaging. The E-RadSAR exploits the advantages of both RadSAR and Elevation-Circular SAR (E-CSAR) by utilizing the SAR technique in the cross- and down-range directions for signal acquisition. It could be...
conference paper 2019
document
Varkey, D. (author), Hicks, M.A. (author), Vardon, P.J. (author)
An improved method for the reliability analysis of 3D slopes has been proposed based on the semi-analytical method of Vanmarcke (1977). Comparing the predicted responses of an idealised 3D slope obtained by the more general, albeit computationally intensive, random finite element method (RFEM), and the original semi-analytical method showed that...
conference paper 2019
document
Li, Na (author), van Unen, Vincent (author), Guo, Nannan (author), Abdelaal, T.R.M. (author), Somarakis, Antonios (author), Eggermont, Jeroen (author), Mahfouz, Ahmed (author), Chuva de Sousa Lopes, Susana M. (author), Lelieveldt, B.P.F. (author), Koning, Frits (author)
The human fetal immune system must protect the infant against the sudden exposure to a large variety of pathogens upon birth. While it is known that the fetal immune system develops in sequential waves, relatively little is known about the composition of the innate and adaptive immune system in the tissues. Here, we applied high-dimensional...
journal article 2019
document
Wang, J. (author), Yarovoy, Alexander (author)
In this paper, a Nonuniform fast Fourier transform (NUFFT)-based range migration algorithm (RMA) is proposed for three-dimensional (3-D) imaging with irregular planar arrays. The proposed imaging algorithm takes advantage of NUFFT to reconstruct the signal spectra in the wavenumber domain, which overcomes the constraint of irregular spatial...
conference paper 2019
document
Gedon, Daniel (author), Piscaer, P.J. (author), Batselier, K. (author), Smith, C.S. (author), Verhaegen, M.H.G. (author)
An extension of the Tensor Network (TN) Kalman filter [2], [3] for large scale LTI systems is presented in this paper. The TN Kalman filter can handle exponentially large state vectors without constructing them explicitly. In order to have efficient algebraic operations, a low TN rank is required. We exploit the possibility to approximate the...
conference paper 2019
document
Saleh, M.A.S.N. (author), El-Dessouky, Hassan M. (author), Saeedifar, M. (author), Teixeira De Freitas, S. (author), Scaife, Richard J. (author), Zarouchas, D. (author)
This paper investigates the effect of the fabric architecture and the z-binding yarns on the compression after multiple impacts behavior of composites. Four fiber architectures are investigated: non-crimp fabric (NCF), 2D plain weave (2D-PW), 3D orthogonal plain (ORT-PW) and twill (ORT-TW) weave. The specimens were subjected to single and...
journal article 2019
Searched for: subject:"dimensionering"
(1 - 20 of 233)

Pages