Searched for: subject:"process"
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Studer, Julia (author), Dransfeld, C.A. (author), Jauregui Cano, Jon (author), Keller, Andre (author), Wink, Marianne (author), Masania, Kunal (author), Fiedler, Bodo (author)
To reduce the cycle time of structural, automotive thermoplastic composites, we investigated the potential of direct thermoplastic melt impregnation of glass fabrics using an injection moulding process. At the high pressures that occur during the process, the effect of the fabric architecture on the impregnation, compaction, volume fraction...
journal article 2019
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Sherson, T.W. (author)
Following their conception in the mid twentieth century, the world of computers has evolved from a landscape of isolated entities into a sprawling web of interconnected machines. Yet, given this evolution, many of the methods we use for allowing computers to work together still reflect their inherently isolated origins with the aggregation of...
doctoral thesis 2019
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Walraven, E.M.P. (author)
Developing intelligent decision making systems in the real world requires planning algorithms which are able to deal with sources of uncertainty and constraints. An example can be found in smart distribution grids, in which planning can be used to decide when electric vehicles charge their batteries, such that the capacity limits of lines are...
doctoral thesis 2019
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Akgün, O.C. (author), Mangia, Mauro (author), Pareschi, Fabio (author), Rovatti, Riccardo (author), Setti, Gianluca (author), Serdijn, W.A. (author)
This paper presents the design of an ultra-low energy, rakeness-based compressed sensing (CS) system that utilizes time-mode (TM) signal processing (TMSP). To realize TM CS operation, the presented implementation makes use of monostable multivibrator based analog-to-time converters, fixed-width pulse generators, basic digital gates and an...
conference paper 2019
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Nalmpantis, Dimitrios (author), Roukouni, A. (author), Genitsaris, Evangelos (author), Stamelou, Afroditi (author), Naniopoulos, Aristotelis (author)
Introduction: The use of participatory techniques in the field of transport is coming to the forefront recently. In this frame, eight co-creation workshops and five online crowdsourcing campaigns took place in Thessaloniki, Southern Tuscany, Rotterdam/The Hague, and Frankfurt, from which many innovative ideas to enhance Public Transport were...
journal article 2019
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Chen, Z. (author), Qu, Ying xia (author), Zeilstra, Christiaan (author), van der Stel, Jan (author), Sietsma, J. (author), Yang, Y. (author)
emission. Information of phase transformation is essential for reaction analysis of the cyclone reactor of the HIsarna process. In addition, data of density and volume of the ore particles are necessary for estimation of the residence time of the particles in the cyclone...
journal article 2019
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Swuste, P.H.J.J. (author), van Nunen, Karolien (author), Reniers, G.L.L.M.E. (author), Khakzad Rostami, N. (author)
Major accidents in Western countries, receiving a lot of media attention in the 1970s, are starting point for research into internal and external domino effects in the chemical and petrochemical sectors and clusters. Initially, these reports are published by government institutions and government-related research centres. With the upcoming...
review 2019
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Adatrao, S. (author), Sciacchitano, A. (author)
A novel approach is introduced that allows the elimination of undesired laser light reflections from particle image velocimetry (PIV) images. The approach relies upon anisotropic diffusion of the light intensity, which is used to generate a background image to be subtracted from the original image. The intensity is diffused only along the...
journal article 2019
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Isufi, E. (author)
The necessity to process signals living in non-Euclidean domains, such as signals defined on the top of a graph, has led to the extension of signal processing techniques to the graph setting. Among different approaches, graph signal processing distinguishes itself by providing a Fourier analysis of these signals. Analogously to the Fourier...
doctoral thesis 2019
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Gama, F. (author), Marques, Antonio G. (author), Leus, G.J.T. (author), Ribeiro, Alejandro (author)
Two architectures that generalize convolutional neural networks (CNNs) for the processing of signals supported on graphs are introduced. We start with the selection graph neural network (GNN), which replaces linear time invariant filters with linear shift invariant graph filters to generate convolutional features and reinterprets pooling as a...
journal article 2019
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Rostampour Samarin, Vahab (author), Ter Haar, Ole (author), Keviczky, T. (author)
This paper presents a framework to carry out multi-area stochastic reserve scheduling (RS) based on an AC optimal power flow (OPF) model with high penetration of wind power using distributed consensus and the alternating direction method of multipliers (ADMM). We first formulate the OPF-RS problem using semidefinite programming (SDP) in...
journal article 2019
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Gao, Yuan (author), Qiao, Tiezhu (author), Zhang, Haitao (author), Yang, Yi (author), Pang, Y. (author), Wei, Hongyan (author)
During the operation of the belt conveyor, measuring speed of the belt conveyor is vital to the safe and efficient operation. In the existing measuring speed system, the measurement instrument is required contacting with the surface of the belt. The contact measurement method cannot avoid the occurrence of measuring error caused by slipping...
journal article 2019
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Li, Xiaozhou (author), Ryan, J.K. (author), Kirby, Robert M. (author), Vuik, C. (author)
Smoothness-increasing accuracy-conserving (SIAC) filtering is an area of increasing interest because it can extract the “hidden accuracy” in discontinuous Galerkin (DG) solutions. It has been shown that by applying a SIAC filter to a DG solution, the accuracy order of the DG solution improves from order k+ 1 to order 2 k+ 1 for linear...
journal article 2019
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Bierkens, G.N.J.C. (author), Fearnhead, Paul (author), Roberts, Gareth (author)
Standard MCMC methods can scale poorly to big data settings due to the need to evaluate the likelihood at each iteration. There have been a number of approximate MCMC algorithms that use sub-sampling ideas to reduce this computational burden, but with the drawback that these algorithms no longer target the true posterior distribution. We...
journal article 2019
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Meijer, D.W.J. (author), Scholten, L. (author), Clemens, F.H.L.R. (author), Knobbe, Arno (author)
Sewer pipes are commonly inspected in situ with CCTV equipment. The CCTV footage is then reviewed by human operators in order to classify defects in the pipes and make a recommendation on possible interventions. This process is both labor-intensive and error-prone. Other researchers have suggested machine learning techniques to (partially)...
journal article 2019
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Xie, S. (author), Theuwissen, A.J.P. (author)
This paper analyzes and compensates for process and temperature dependency among a (Complementary Metal Oxide Semiconductor) CMOS image sensor (CIS) array. Both the analysis and compensation are supported with experimental results on the CIS’s dark current, dark signal non-uniformity (DSNU), and conversion gain (CG). To model and to...
journal article 2019
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van der Neut, J.R. (author), Fokkema, J.T. (author), van den Berg, P.M. (author), Zapf, M (author), Ruiter, Nicole V (author), Taskin, U. (author), van Dongen, K.W.A. (author)
Synthetic-aperture (SA) imaging is a popular method to visualize the reflectivity of an object from ultrasonic reflections. The method yields an image of the (volume) contrast in acoustic impedance with respect to the embedding. Typically, constant mass density is assumed in the underlying derivation. Due to the band-limited nature of the...
journal article 2019
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Wan, Xiaoyun (author), Ran, J. (author)
The aim of this paper is to present an alternative method that can be used to improve existing gravity field models via the application of gradient data from Gravity field and Ocean Circulation Explorer (GOCE). First, the proposed algorithm used to construct the observation equation is presented. Then methods for noise processing in both time...
journal article 2019
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Silvestri, S. (author), Pecnik, R. (author)
We implemented a fast Reciprocal Monte Carlo algorithm to accurately solve radiative heat transfer in turbulent flows of non-grey participating media that can be coupled to fully resolved turbulent flows, namely to Direct Numerical Simulation (DNS). The spectrally varying absorption coefficient is treated in a narrow-band fashion with a...
journal article 2019
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Miri Rostami, Seyyed Reza (author), Mozaffarzadeh, M. (author), Hariri, Ali (author), Jokerst, Jesse V. (author), Ghaffari-Miab, Mohsen (author)
Double-stage delay-multiply-and-sum (DS-DMAS) is one of the algorithms proposed for photoacoustic image reconstruction where a linear-array transducer is used to detect signals. This algorithm provides a higher contrast image in comparison with the conventional delay-multiply-and-sum (DMAS) and delay-and-sum (DAS), but it imposes a high...
conference paper 2019
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