Searched for: subject:"filters"
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Wambeke, T. (author), Benndorf, J. (author)
The mining industry continuously struggles to keep produced tonnages and grades aligned with targets derived from model-based expectations. Deviations often result from the inability to characterise short-term production units accurately based on sparsely distributed exploration data. During operation, the characterisation of short-term...
journal article 2018
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Yepes Juliá, C. (author), Cavallo, D. (author), Gandini, E. (author), Monni, S (author), Neto, A. (author), van Vliet, F.E. (author)
A five-layer frequency selective surface (FSS) composed of subwavelength elements with large harmonic rejection bandwidth is presented. The FSS design is based on an equivalent circuit model, where the interlayer interaction is only described with a single transmission line representing the fundamental Floquet wave. A prototype of the...
journal article 2018
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D'Urbino, Michele (author), Chen, C. (author), Chen, Z. (author), Chang, Z.Y. (author), Ponte, Jacco (author), Lippe, Boris (author), Pertijs, M.A.P. (author)
This paper presents a power- and area-efficient approach to digitizing the echo signals received by piezoelectric transducer elements, commonly used for ultrasound imaging. This technique utilizes such elements not only as sensors but also as the loop filter of an element-level δσ analog to digital converter (ADC). The receiver chain is thus...
journal article 2018
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Sun, J. (author), Blom, H.A.P. (author), Ellerbroek, J. (author), Hoekstra, J.M. (author)
This paper focuses on estimating aircraft mass and thrust setting using a recursive Bayesian method called particle filtering. The method is based on a nonlinear state-space system derived from aircraft point-mass performance models. Using solely ADS-B and Mode-S data, flight states such as position, velocity, and wind speed are collected and...
conference paper 2018
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Tintarev, N. (author), Rostami, Shahin (author), Smyth, Barry (author)
In this paper we consider how to help users to better understand their consumption profiles by examining two approaches to visualising user profiles - chord diagrams, and bar charts - aimed at revealing to users those regions of the recommendation space that are unknown to them, i.e. blind-spots. Both visualisations do this by connecting profile...
conference paper 2018
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Gartner, C.M. (author), Moura, João P. (author), Haaxman, Wouter (author), Norte, R.A. (author), Groeblacher, S. (author)
Multielement cavity optomechanics constitutes a direction to observe novel effects with mechanical resonators. Several exciting ideas include superradiance, increased optomechanical coupling, and quantum effects between distinct mechanical modes among others. Realizing these experiments has so far been difficult, because of the need for...
journal article 2018
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Kim, J.H. (author), Won, Minz (author), Liem, C.C.S. (author), Hanjalic, A. (author)
In this paper, we propose a hybrid Neural Collaborative Filtering (NCF) model trained with a multi-objective function to achieve a music playlist generation system. The proposed approach focuses particularly on the cold-start problem (playlists with no seed tracks) and uses a text encoder employing a Recurrent Neural Network (RNN) to exploit...
conference paper 2018
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Raipuria, Geetank (author)
An autonomous vehicle should be able to operate amidst numerous other human-driven vehicles, each driving on its own trajectory. To safely navigate in such a dynamic environment, the autonomous vehicle should be able to predict trajectories of the vehicles operating in its vicinity and use these to plan its own path. Most related work uses a...
master thesis 2017
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Giannopoulos, Makis (author)
Mobile robots need to be fully autonomous in order to perform their tasks inside their environment. To do that, robots need to have an understanding of their environment, so that they can successfully localize and navigate themselves within it. The understanding of the robots' environment is created by solving the SLAM (Simultaneous Localization...
master thesis 2017
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Arya Senna Abdul Rachman, Arya (author)
The recent advancement of the autonomous vehicle has raised the need for reliable environmental perception. This is evident, as an autonomous vehicle has to perceive and interpret its local environment in order to execute reactive and predictive control action. Object Tracking is an integral part of vehicle perception, as it enables the vehicle...
master thesis 2017
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Overvoorde, Alexander (author)
Path tracing has been successfully utilized in modern animated films to produce photorealistic images. However, with path tracing being a Monte Carlo method, a large amount of light paths must be sampled to reduce image noise to acceptable levels. Although a wide variety of acceleration and importance sampling techniques have been developed to...
master thesis 2017
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Izeboud, Petra (author)
Polder areas as typical in the Netherlands require real time control on the water levels. Efficient pumping is a subject with increasing interest due to a required use of 20% green energy by 2020 set by the government. In 2010, the energy requirements already exceeded 175 GWh per year. For optimal control, water level predictions are important....
master thesis 2017
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Hosseini Aria, S.E. (author), Menenti, M. (author), Gorte, B.G.H. (author)
Hyperspectral images may be applied to classify objects in a scene. The redundancy in hyperspectral data implies that fewer spectral features might be sufficient for discriminating the objects captured in a scene. The availability of labeled classes of several areas in a scene paves the way for a supervised dimensionality reduction, i.e., using...
journal article 2017
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Mavritsakis, Antonios (author)
Insufficient information on soil parameters and their spatial variability pose as a main factors of uncertainty in geotechnical design. When soil response differs from the expected, the notion of inverse analysis becomes relevant; back-calculating the parameter set able to reproduce the monitored observations. Accordingly, its application...
master thesis 2017
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de Rooij, Tim (author)
Time-frequency analysis and digital signal processing are important tools in the field of coastal engineering. Both can be done using techniques like Fourier or wavelet analysis, however, analysts from this field experience a threshold to use wavelet analysis instead of their current methods, often Fourier-based. This is due to the lack of...
master thesis 2017
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Shan, Chan (author)
Wind power as a green and low-carbon renewable energy could effectively mitigate the energy crisis and reduce environmental pollution, including the rapid developing offshore wind power with its rich reserves, wind stability, high wind speed, less interference, noise and other advantages. The trend for development of offshore wind farms is...
master thesis 2017
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Fannin, R.J. (author), Roos, D. (author)
conference paper 2017
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Arora, Hemant (author)
This work is carried out in collaboration with Dunea and TU Delft. The aim of this study was to optimize the ripening period of slow sand filters and to identify the indicators of ripening. Combination of full scale and column scale slow sandfilters...
master thesis 2017
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Liu, K. (author)

doctoral thesis 2017
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Stijnman, Marco (author)
Offshore excavators are large hydraulically driven machines which are difficult to control due to slow dynamics, inherent nonlinearities, a varying environment and complex kinematics. As digging is performed under water, only limited visual feedback of the task can be provided by means of a visualization interface. Operators require an extensive...
master thesis 2017
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