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RÖggla, Thomas (author), Li, Jie (author), Fjellsten, Stefan (author), Jansen, Jack (author), Kegel, Ian (author), Pilgrim, Luke (author), Trimby, Martin (author), Williams, Doug (author), Cesar Garcia, P.S. (author)
While traditional live-broadcasting is typically comprised of a handful of well-defined workflows, these become insufficient when targeting multiple screens and interactive companion devices on the viewer side. In this case study, we describe the development of an end-to-end system enabling immersive and interactive experiences using an...
conference paper 2019
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Majid, Amjad Yousef (author), Jansen, Michel (author), Ortas Delgado, Guille (author), Yildirim, K.S. (author), Pawelczak, P. (author)
We characterize the performance of a backscatter tag-to-tag (T2T) multi-hop network. For this, we developed a discrete component-based backscatter T2T transceiver and a communication protocol suite. The protocol composed of a novel (i) flooding-based link control tailored towards backscatter transmission, and (ii) low-power listening MAC. The...
conference paper 2019
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Jansen, K.M.B. (author)
Smart textiles are textiles with integrated sensors, data processing, communication and power units and can be regarded as a new application field for microelectronic devices. It largely benefits from a series of recent developments: sensors become smaller, more reliable and require less power and, on the other hand, energy harvesting...
conference paper 2019
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de Zeeuw, W. (author), Jesus de Moraes, R. (author), Heemink, A.W. (author), Jansen, J.D. (author)
We propose a novel adaptive, adjoint-based, iterative multiscale finite volume (i-MSFV) method. The method aims to reduce the computational cost of the smoothing stage of the original i-MSFV method by selectively choosing fine-scale sub-domains (or sub-set of primary variables) to solve for. The selection of fine-scale primary variables is...
conference paper 2019
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Jansen, K.M.B. (author)
Smart textiles are garments with integrated sensors and actuators which have a large potential of being beneficial in our future society. These textiles can monitor our health condition during daily life, remind us to do some extra fitness activities or warn us when our blood pressure is too high or when our heart beating becomes irregular....
conference paper 2019
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Ewald, V.A. (author), Goby, Xavier (author), Jansen, Hidde (author), Groves, R.M. (author), Benedictus, R. (author)
The near-term artificial intelligence, commonly referred as ‘weak AI’ in the last couple years was achieved thanks to the advances in machine learning (ML), particularly deep learning, which has currently the best in-class performance outperforming other machine learning algorithms. In the deep learning framework, many natural tasks such as...
conference paper 2018
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Jansen, A.J. (author), Dekker, M.C. (author), van der Steen, Diederik (author)
Providing athletes with real-time feedback on their performance is becoming common in many sports, also in speed skating. This research-by-design project aims at finding a tool that allows the speed skater to get real-time feedback on his performance. Speed skaters often mention a so-called “good feeling” when skating behind a better skater. It...
conference paper 2018
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Jansen, K.M.B. (author), Tarren, Bailey (author), Slingerland, M. (author)
We developed disposable and stretchable on-skin sensors for simple and unobtrusive monitoring of posture and movements during daily activities. Simple sensor platforms like these are expected to become commonly accepted in the near future, not only for posture monitoring but also for e.g. motion monitoring in sports. The paper describes the...
conference paper 2018
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Jesus de Moraes, R. (author), Hajibeygi, H. (author), Jansen, J.D. (author)
In data assimilation problems, various types of data are naturally linked to different spatial resolutions (e.g. seismic and electromagnetic data), and these scales are usually not coincident to the subsurface simulation model scale. Alternatives like down/upscaling of the data and/or the simulation model can be used, but with potential loss of...
conference paper 2018
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Diaz Cortes, G.B. (author), Jansen, J.D. (author), Vuik, C. (author)
We explore and develop POD-based deflation methods to accelerate the solution of large-scale linear systems resulting from two-phase flow simulation. The techniques here presented collect information from the system in a POD basis, which is later used in a deflation scheme. The snapshots required to obtain the POD basis are captured in two ways:...
conference paper 2018
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Fonseca, R. M. (author), Della Rossa, E. (author), Emerick, A. A. (author), Hanea, R. G. (author), Jansen, J.D. (author)
Since the early 2000's there has been a significant focus from many groups around the world towards the development and application of innovative technologies in order to improve reservoir management strategies and optimize field development plans. Benchmark studies are a very valuable way of evaluating and demonstrating the status and...
conference paper 2018
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Siraj, M.M. (author), van den Hof, P.M.J. (author), Jansen, J.D. (author)
Model-based dynamic optimization of the water-flooding process in oil reservoirs is a computationally complex problem and suffers from high levels of uncertainty. A traditional way of quantifying uncertainty in robust water-flooding optimization is by considering an ensemble of uncertain model realizations. These models are generally not...
conference paper 2017
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Jansen, P.F.C. (author)
conference paper 2017
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Maas, T. R. (author), Bouts, M. N. (author), Joosten, G. J.P. (author), Jansen, J.D. (author)
When new wells are planned, typically the same trajectory is used for assessing the effectiveness of conventional wells and wells with smart completions. This study demonstrates that the economically optimized trajectory for smart and conventional wells can be very different. Two new well trajectory optimization algorithms were developed...
conference paper 2017
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Jesus de Moraes, R. (author), Rodrigues, J. R.P. (author), Hajibeygi, H. (author), Jansen, J.D. (author)
A multiscale gradient computation method for multiphase flow in heterogeneous porous media is developed. The method constructs multiscale primal and dual coarse grids, imposed on the given fine-scale computational grid. Local multiscale basis functions are computed on (dual-) coarse blocks, constructing an accurate map (prolongation operator)...
conference paper 2017
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Bodde, W.P. (author), McCall, R.T. (author), Jansen, M.H.P. (author), van den Berg, Annemijn (author), Roelvink, J.A. (author)
conference paper 2017
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Jansen, S.C. (author), Bokel, R.M.J. (author), Elswijk, M.J. (author), Mueller, Saskia (author)
The traditional way of supplying energy to the built environment is no longer suitable: New buildings with high energy performance and decentralised renewable energy generation, together with the desire to become fossil-free, involve the need for new, more flexible and more integrated energy systems. The district of Buiksloterham was a test case...
conference paper 2017
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Jesus de Moraes, R. (author), Fonseca, R.M. (author), Helici, M. (author), Heemink, A.W. (author), Jansen, J.D. (author)
In this work, the application of tensor methodologies for computer-assisted history matching of channelized reservoirs is explored. A tensor-based approach is used for the parameterization of petrophysical parameters to reduce the dimensionality of the parameter estimation problem. Building on the work of Afra and Gildin (2013); Afra et.al. ...
conference paper 2017
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van der Meer, J.M. (author), Farajzadeh, R. (author), Jansen, J.D. (author)
conference paper 2017
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Insuasty, E (author), van den Hof, P.M.J. (author), Weiland, S (author), Jansen, J.D. (author)
In this work, the application of tensor methodologies for computer-assisted history matching of channelized reservoirs is explored. A tensor-based approach is used for the parameterization of petrophysical parameters to reduce the dimensionality of the parameter estimation problem. Building on the work of Afra and Gildin (2013); Afra et.al. ...
conference paper 2017
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