Searched for: subject%3A%22process%22
(801 - 820 of 1,711)

Pages

document
Majzoub, Sohaib (author), Saleh, Resve A. (author), Ashraf, I. (author), Taouil, M. (author), Hamdioui, S. (author)
In this paper, we study the impact of the idle/dynamic power consumption ratio on the effectiveness of a multi-V <sub>dd</sub> /frequency manycore design. We propose a new tool called LVSiM (a Low-Power and Variation-Aware Manycore Simulator) to carry out the experiments. It is a novel manycore simulator targeted towards low-power...
journal article 2019
document
Li, Xiaozhou (author), Ryan, J.K. (author), Kirby, Robert M. (author), Vuik, Cornelis (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
document
Gholinejad, M. (author), Loeve, A.J. (author), Dankelman, J. (author)
The vital role of surgeries in healthcare requires a constant attention to improvement. Surgical process modelling is an innovative and rather recently introduced approach for tackling the issues in today’s complex surgeries. This modelling field is very challenging and still under development, therefore, it is not always clear which...
review 2019
document
Zandrahimi, M. (author), Debaud, Philippe (author), Castillejo, Armand (author), Al-Ars, Z. (author)
With the continued down-scaling of IC technology and increase in manufacturing process variations, it is becoming ever more difficult to accurately estimate circuit performance of manufactured devices. This poses significant challenges on the effective application of adaptive voltage scaling (AVS) which is widely used as the most important...
journal article 2019
document
Leontaris, G. (author), Morales Napoles, O. (author), Dewan, Ashish (author), Wolfert, A.R.M. (author)
Offshore asset construction is a complex and costly process that is subject to various uncertainties within the entire supply chain. Hence, both the construction management optimization and the reduction of deployment expenditures should be supported by automated decision support models which include proper representations of predominant...
journal article 2019
document
de Queiroz, Bruna (author), Scheel, F. (author), Caires, Sofia (author), Walstra, D.J.R. (author), Olij, Derrick (author), Yoo, Jeseon (author), Reniers, A.J.H.M. (author), de Boer, W.P. (author)
In process-based numerical models, reducing the amount of input parameters, known as input reduction (IR), is often required to reduce the computational effort of these models and to enable long-term, ensemble predictions. Currently, a comprehensive performance assessment of IR-methods is lacking, which hampers guidance on selecting suitable...
journal article 2019
document
Pirrung, S.M. (author), Berends, Carmen (author), Backx, Antoon H. (author), van Beckhoven, Ruud F.W.C. (author), Eppink, Michel H.M. (author), Ottens, M. (author)
Finding the best purification process is a challenging task. Recently, mechanistic models that can accelerate the development of chromatographic unit operations, the most important purification units, became widely available. In previous work, several chromatographic models have been linked together to simulate and optimize integrated...
journal article 2019
document
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
document
Panda, Biranchi (author), Noor Mohamed, Nisar Ahamed (author), Chandra Paul, Suvash (author), Bhagath Singh, GVP (author), Tan, Ming Jen (author), Šavija, B. (author)
The advent of digital concrete fabrication calls for advancing our understanding of the interaction of 3D printing with material rheology and print parameters, in addition to developing new measurement and control techniques. Thixotropy is the main challenge associated with printable material, which offers high yield strength and low viscosity....
journal article 2019
document
Pallares Vega, R. (author), Blaak, Hetty (author), van der Plaats, Rozemarijn (author), de Roda Husman, Ana M. (author), Hernandez Leal, Lucia (author), van Loosdrecht, Mark C.M. (author), Weissbrodt, D.G. (author), Schmitt, Heike (author)
Wastewater treatment plants (WWTPs), linking human fecal residues and the environment, are considered as hotspots for the spread of antimicrobial resistance (AMR). In order to evaluate the role of WWTPs and underlying operational parameters for the removal of AMR, the presence and removal efficiency of a selected set of 6 antimicrobial...
journal article 2019
document
Pasqualetto Cassinis, L. (author), Fonod, R. (author), Gill, E.K.A. (author)
The relative pose estimation of an inactive target by an active servicer spacecraft is a critical task in the design of current and planned space missions, due to its relevance for close-proximity operations, i.e. the rendezvous with a space debris and/or in-orbit servicing. Pose estimation systems based solely on a monocular camera are...
review 2019
document
Ewald, Vincentius (author), Groves, R.M. (author), Benedictus, R. (author)
In our previous work, we demonstrated how to use inductive bias to infuse a convolutional neural network (CNN) with domain knowledge from fatigue analysis for aircraft visual NDE. We extend this concept to SHM and therefore in this paper, we present a novel framework called DeepSHM which involves data augmentation of captured sensor signals...
conference paper 2019
document
Silvestri, S. (author), Pecnik, Rene (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
document
Wang, G. (author), Marradia, Chiara (author), Albayrak, A. (author), van der Cammen, T.J.M. (author)
Co-designing with people with dementia (PwD) can uncover their needs and preferences, which have been often overlooked. It is difficult for PwD to understand designers and express themselves in a conventional co-design session. This study aims to evaluate the effects of involving PwD in design research on both PwD and the design process; to...
review 2019
document
Gavriilidou, A. (author), Daamen, W. (author), Yuan, Y. (author), Hoogendoorn, S.P. (author)
Operational cycling behaviour is greatly understudied, even lacking a definition of what this behavioural level actually entails in terms of decision making. In this paper, we define the cyclist operational level and argue that it consists of two intertwined processes, a mental and a physical process. The mental process refers to path choices...
journal article 2019
document
Ortiz-Jimenez, Guillermo (author), Coutino, Mario (author), Chepuri, S.P. (author), Leus, G.J.T. (author)
We consider the problem of designing sparse sampling strategies for multidomain signals, which can be represented using tensors that admit a known multilinear decomposition. We leverage the multidomain structure of tensor signals and propose to acquire samples using a Kronecker-structured sensing function, thereby circumventing the curse of...
journal article 2019
document
Booth, Brian G. (author), Sijbers, Jan (author), Huysmans, T. (author)
journal article 2019
document
Miri Rostami, Seyyed Reza (author), Mozaffarzadeh, M. (author), Ghaffari-Miab, Mohsen (author), Hariri, Ali (author), Jokerst, Jesse (author)
Double-stage delay-multiply-and-sum (DS-DMAS) is an algorithm proposed for photoacoustic image reconstruction. The DS-DMAS algorithm offers a higher contrast than conventional delay-and-sum and delay-multiply and-sum but at the expense of higher computational complexity. Here, we utilized a compute unified device architecture (CUDA) graphics...
journal article 2019
document
Reggiani, G. (author), Dabiri, A. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)
The number of queued bicycles on a signalised link is crucial information for the adoption of intelligent transport systems, aiming at a better management of cyclists in cities. An unsupervised machine learning methodology is deployed to produce estimations of accumulation levels based on data retrieved from a bicycle street of the Netherlands....
conference paper 2019
document
Velthoen, J.J. (author), Cai, J. (author), Jongbloed, G. (author), Schmeits, Maurice (author)
Aiming to estimate extreme precipitation forecast quantiles, we propose a nonparametric regression model that features a constant extreme value index. Using local linear quantile regression and an extrapolation technique from extreme value theory, we develop an estimator for conditional quantiles corresponding to extreme high probability...
journal article 2019
Searched for: subject%3A%22process%22
(801 - 820 of 1,711)

Pages