Searched for: subject%3A%22filters%22
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Jonker, Arnoud (author)
Due to a high contribution of human error in fatal traffic accidents, efforts in research and industry for automating vehicles steadily increased the last 3 decades. To reduce accidents with other road users, automated recognition and classification of road users is crucial. The most accurate models are large convolutional neural networks,...
master thesis 2020
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de Jong, David (author)
End-to-end trained Convolutional Neural Networks have led to a breakthrough in optical flow estimation. The most recent advances focus on improving the optical flow estimation by improving the architecture and setting a new benchmark on the publicly available MPI-Sintel dataset. Instead, in this article, we investigate how deep neural networks...
master thesis 2020
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Colaço Baptista Cerqueira, Paulo (author)
The visualization of objects within or beyond a turbulent medium is hampered by the aberrations the medium induces in the wavefront. The sharpness of an image is maximal when the incoming wavefront is flat, with aberrated wavefronts yielding distorted images of limited utility. In the particular case of astronomy, the flat wavefront of the light...
master thesis 2020
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Dingjan, Mitchell (author)
Recommender systems focus on automatically surfacing suitable items for users from digital collections that are too large for the user to oversee themselves. A considerable body of work exists on surfacing items that match what a user liked in the past; this way, the recommender system will exploit its knowledge of a user's comfort zone. However...
master thesis 2020
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Aycart Avila, Vicente (author)
Accurately tracking the trajectory of launching vehicles during the boost phase is crucial for a variety of reasons. First, an accurate burnout point location and  velocity of the launch vehicle will facilitate the estimation of its trajectory during the following phases of ballistic flight and the impact location. This has important...
master thesis 2020
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Bartczak, Konrad (author)
Displacement control is of utmost importance in deep excavation design and is usually based on numerical modelling, e.g. Finite Element Method (FEM). Numerical methods tend to be more conservative when analysing soil behaviour during deep excavation, whereas for practical and economic reasons this is not favoured. The inverse analysis allows for...
master thesis 2020
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Abdul Rozak Rivai Fassah, Abdul (author)
In recent years, developments in the field of aerospace materials and structures has been bringing major breakthroughs in the construction of air vehicles to be more lightweight yet with higher strength. However, the aircraft body can deform more appreciably due to the occurrence of flow separation and flutter. Therefore, active control is...
master thesis 2019
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Audenaert, Lisa (author)
Automotive radar has an advantage over other sensors in that it is better at operating in bad weather conditions. To see the extent of the effect that adverse weather conditions might have on the statistics of the data a statistical analysis was performed on real measurement data. During heavy rain there is a shift that can be observed in the...
master thesis 2019
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Meng, Fancong (author)
Global Navigation Satellite System (GNSS) has been developed in recent several decades, which provides a new technique for timing, positioning and navigation. And GNSS positioning is a basic service to us, both in daily life and scientific research. During high-precise positioning, ambiguity resolution is a key factor that has a huge influence...
student report 2019
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Schöpping, Pascal (author)
In a world with growing energy consumption, and concerns over climate quality, new ways of producing and storing clean energy is more relevant than ever. Storing ‘green’ gas (e.g. methane) is a new concept building on well-established fundamentals. Using renewable energy, through electrochemical processes (i.e. electrolysis), hydrogen is first...
master thesis 2019
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Kou, Lantian (author)
The particle filter (PF) algorithm is appropriate to solve the problem of speaker tracking in a reverberant and noisy environment using distributed pairwise microphone networks. First, complete the tracking task based on PF algorithm in centralized manner, a processing center is required to collect the signal from all microphones to carry out...
master thesis 2019
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Krishnaraj, Manoj (author)
Recommender systems (RS) often use a large amount of data for a marginal gain in performance. This thesis investigates the data minimization in Recommender Systems, which is not well studied in the literature. This thesis extends the data minimization principles advocated in GDPR and studies its effects on recommender systems. Minimizing data...
master thesis 2019
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van de Ven, Daan (author)
For the use of open filters in land reclamations new guidelines are needed as no research is currently done for the configuration of a sand layer is placed on top of a filter layer. This research focuses purely on the interaction between cyclic motions and the described sand-filter layer. A numerical OpenFOAM model is used to extract the order...
master thesis 2019
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van Doeveren, Alex (author)
This research focuses on proving the presence of coloured noise on the longitudinal, lateral and rotational velocity in steady-state cornering of a skid steer mobile robot. Furthermore, it also focuses on the creation of a Gaussian filter which is able to recreate the characteristics of the measured coloured noise. This is done to determine the...
master thesis 2019
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Heijmans, Itai (author)
The surface electromyographic (sEMG) signals that originate from skeletal muscle electrical activity, are used clinically and experimentally to determine muscular behaviour, e.g. amplitude, area under the curve and onset of activity. Surface EMG signals are inevitably contaminated by noise and artefacts from the site between the skin and...
master thesis 2019
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Nagesh, Saravanan (author)
In this thesis, we propose, a Robust data extraction algorithm capable of extracting reliable target features of multiple moving targets of different classes over all channels of an S-Band Doppler Polarimetric Radar PARSAX. The proposed algorithm is capable of generating a time series data by tracking, clusters of detections - representing...
master thesis 2019
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de Bruijn, Janno (author)
In the Netherlands there are many bridges that crosses waterways, which are key nodes in the transportation system. The safety and integrity of these bridges is nowadays assessed by (visual) inspections at regular intervals. This approach cannot provide information about damage development in between inspections, leading to potential failure or...
master thesis 2019
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Horsman, Niels (author)
This study discusses the filtration of micro-pollutants and natural organic matter<br/>from water by a granular activated carbon filter. To determine the efficiency of a<br/>filter, simulations are run to predict it’s efficiency. This study will describe a demo application and it’s underlying model that are used to determine the efficiency of a...
bachelor thesis 2019
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Kooper, Martin (author)
This report presents a new filter wheel design for use in space-based optical systems. The design integrates a hybrid linear stepper motor into the wheel's rim to generate rotation, leading to a Rotating Hybrid Linear Stepper Motor (RHLSM). Unpowered this motor generates a holding force that can keep the wheel in position during system...
master thesis 2019
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Ruben, Pablo (author)
Recently, the application of machine learning and data fusion techniques on hyperspectral imagery have demonstrated potential for ground cover classification at material level. Hereby, specific locations of resources enclosed in cities (e.g. roof materials) can be identified, which is critically relevant within the field of urban mining. A...
master thesis 2019
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