Searched for: subject%3A%22Convolution%22
(1 - 19 of 19)
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Rozsas, A. (author), Slobbe, A. (author), Huizinga, W. (author), Kruithof, M. (author), ajithkumar Pillai, K. (author), Kleijn, K. (author), Giardina, G. (author)
This paper proposes an automated approach to predict crack pattern similarities that correlate well with assessment by structural engineers. We use Siamese convolutional neural networks (SCNN) that take two crack pattern images as inputs and output scalar similarity measures. We focus on 2D masonry facades with and without openings. The image...
article 2022
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van der Burg, E. (author), Hogervorst, M.A. (author), Toet, A. (author)
Natural scenes are typically highly heterogeneous, making it difficult to assess camouflage effectiveness for moving objects since their local contrast varies with their momentary position. Camouflage performance is usually assessed through visual search and detection experiments involving human observers. However, such studies are time...
conference paper 2022
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Nadi, A. (author), Sharma, S. (author), van Lint, J.W.C. (author), Tavasszy, L. (author), Snelder, M. (author)
This paper proposes a data-driven transport modeling framework to assess the impact of freight departure time shift policies. We develop and apply the framework around the case of the port of Rotterdam. Container transport demand data and traffic data from the surrounding network are used as inputs. The model is based on a graph convolutional...
article 2022
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van der Burg, E. (author), Hogervorst, M.A. (author), Toet, A. (author)
Natural scenes are typically highly heterogeneous, making it difficult to assess camouflage effectiveness for moving objects since their local contrast varies with their momentary position. Camouflage performance is usually assessed through visual search and detection experiments involving human observers. However, such studies are time...
conference paper 2022
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Chiscop, I. (author), Gazdag, A. (author), Bosman, J. (author), Biczók, G. (author)
Multiple attacks have shown that in-vehicle networks have vulnerabilities which can be exploited. Securing the Controller Area Network (CAN) for modern vehicles has become a necessary task for car manufacturers. Some attacks inject potentially large amount of fake messages into the CAN network; however, such attacks are relatively easy to detect...
conference paper 2021
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Xiao, C. (author), Leeuwenburgh, O. (author), Lin, H.X. (author), Heemink, A.W. (author)
article 2021
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Reck, S. (author), van der Knaap, F.G.P. (author), Buis, E.J. (author)
KM3NeT/ORCA is a water-Cherenkov neutrino detector, currently under construction in the Mediterranean Sea at a depth of 2450 meters. The project’s main goal is the determination of the neutrino mass hierarchy by measuring the energy- and zenith-angle-resolved oscillation probabilities of atmospheric neutrinos traversing the Earth. Additionally,...
conference paper 2021
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Snijders, R. (author), Pileggi, P.P. (author), Broekhuijsen, B.J. (author), Verriet, J. (author), Wiering, M. (author), Kok, J.K. (author)
Cyber-Physical Systems are becoming more autonomous, interconnected, complex and adaptive, and are expected to operate in highly dynamic environments. This is especially challenging for energy ecosystems that are increasingly difficult to control and maintain as the number of participating manufacturers and users grows. Digital Twins help analyze...
conference paper 2020
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van Rooijen, A.L. (author), Bouma, H. (author), Verbeek, F. (author)
Person re-identification (re-id) is the task of identifying a person of interest across disjoint camera views in a multi-camera system. This is a challenging problem due to the different poses, viewpoints and lighting conditions. Deeply learned systems have become prevalent in the person re-identification field as they are capable to deal with...
conference paper 2019
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Dahlberg, A. (author), Skrzypczyk, M. (author), Coopmans, T. (author), Wubben, L. (author), Rozpedek, F. (author), Pompili, M. (author), Stolk, A. (author), Pawełczak, P. (author), Knegjens, R.J. (author), de Oliveira Filho, J.A. (author), Hanson, R. (author), Wehner, S. (author)
Quantum communication brings radically new capabilities that are provably impossible to attain in any classical network. Here, we take the first step from a physics experiment to a fully fledged quantum internet system. We propose a functional allocation of a quantum network stack and construct the first physical and link layer protocols that...
conference paper 2019
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Rooijen, A.L. (author), Bouma, H. (author), Verbeek, F. (author)
conference paper 2018
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Bouma, H. (author), Joosten, B. (author), Kruithof, M.C. (author), de Boer, M.H.T. (author), Ginsca, A. (author), Labbe, B. (author), Vuong, Q.T. (author)
Due to the increasing need for effective security measures and the integration of cameras in commercial products, a huge amount of visual data is created today. Law enforcement agencies (LEAs) are inspecting images and videos to find radicalization, propaganda for terrorist organizations and illegal products on darknet markets. This is time...
conference paper 2018
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Heiligers, M.J.C. (author), Huizing, A.G. (author)
conference paper 2018
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Dekker, B. (author), Jacobs, S. (author), Kossen, A.S. (author), Kruithof, M.C. (author), Huizing, A.G. (author), Geurts, M. (author)
Gesture recognition with radar enables remote control of consumer devices such as audio equipment, television sets and gaming consoles. In this paper, experimental results of hand gesture recognition with a low power FMCW radar and a deep convolutional neural network (CNN) are presented. The FMCW radar operates in the 24 GHz ISM frequency band...
conference paper 2017
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van Eekeren, A.W.M. (author), Huebner, C.S. (author), Dijk, J. (author), Schutte, K. (author), Schwering, P.B.W. (author)
Atmospheric turbulence is a well-known phenomenon that diminishes the recognition range in visual and infrared image sequences. There exist many different methods to compensate for the effects of turbulence. This paper focuses on the performance of two software-based methods to mitigate the effects of low-And medium turbulence conditions. Both...
conference paper 2014
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Pham, T.Q. (author), van Vliet, L.J. (author), Schutte, K. (author), TNO Defensie en Veiligheid (author)
We present a novel algorithm for image fusion from irregularly sampled data. The method is based on the framework of normalized convolution (NC), in which the local signal is approximated through a projection onto a subspace. The use of polynomial basis functions in this paper makes NC equivalent to a local Taylor series expansion. Unlike the...
article 2006
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Bierens, L. (author), Deprettere, E. (author), TNO Fysisch en Elektronisch Laboratorium (author)
We present an efficient approach for the partitioning of algorithms implementing long convolutions. The dependence graph (DG) of a convolution algorithm is locally sequential globally parallel (LSGP) partitioned into smaller, less complex convolution algorithms. The LSGP partitioned DG is mapped onto a signal flow graph (SFG), in which each...
article 1998
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Bierens, L.H.J. (author), Deprettere, E.F. (author), TNO Fysisch en Elektronisch Laboratorium (author)
We present a schematic design methodology for multirate convolution systems, based on combined algorithmic development and architecture design. It allows us to map the algebraic specification of a long convolution algorithm directly onto efficient fast convolution hardware based on short FFT processor elements or dedicated VLSI processors. The...
conference paper 1996
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Zwartenkot, H.T.J. (author), Boerrigter, M.J.G. (author), Bierens, L.H.J. (author), Smit, J. (author), TNO Fysisch en Elektronisch Laboratorium (author)
Usually, long convolutions are computed by programmable DSP boards using long FFTs. Typical operational requirements such as minimum power dissipation, minimum volume and high dynamic range/accuracy, make this solution often inefficient and even unacceptable. In this paper we present a single chip floating point solution for large convolution...
conference paper 1996
Searched for: subject%3A%22Convolution%22
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