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van Rooijen, Sjoerd (author)
In the upcoming years, en route airspace capacity will be limited by air traffic controller workload, requiring the introduction of automation to assist controllers with conflict detection and resolution. However, acceptance is considered to be one of the main obstacles in the introduction of novel automation. Individual-sensitive automation has...
master thesis 2019
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de Jong, Tjitte (author)
A high drop-out rate is present during current-day air traffic controller (ATCo) training, because the required expertise level is not reached. The determination of the expertise level of ATCo students is currently performed using subjective assessments at a late stage in the training by means of high-fidelity simulator sessions. It is desired...
master thesis 2019
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van Korlaar, Arent (author)
Turbulence closure models will continue to be necessary in order to perform computationally affordable simulations in the foreseeable future. It is expected that Reynolds-averaged Navier-Stokes (RANS) turbulence models will still be useful with the further development of the more accurate, but computationally expensive large eddy simulation (LES...
master thesis 2019
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van Hoorn, Martijn (author)
To increase performance of air-to-air missile guidance, a novel guidance law is developed using reinforcement learning methods. This guidance law is based on behavior obtained from optimal control methods and subsequently aims to approximate its performance. The study compares the developed guidance law to a traditional guidance law and optimal...
master thesis 2019
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Buso, Alice (author)
This Master’s graduation thesis is a project elaborated for the automotive manufacturer BMW AG. It explores the possibilities given by soft robotic technology to improve comfort while sitting in self-driving vehicles. The project focuses on a specific scenario: a seat that enhances the relaxation experience on the car for long distance travels....
master thesis 2019
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Hassan, Lotfy (author)
Airlines experience schedule disruptions on a daily basis. Poor weather conditions, unscheduled aircraft maintenance and congested air spaces are just a few of the causes that prevent airlines from operating their flight schedules as planned. In the third quarter of 2017 over 20% of all scheduled flights in Europe suffered from delays. Operation...
master thesis 2019
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Robijns, Michel (author)
This thesis is part of a greater effort to use machine learning for the development of flexible and universal unresolved-scale models in large eddy simulation (LES). The novelty in the current work is that a neural network learns to predict the integral forms of the unresolved-scale terms directly without a priori assumptions on the underlying...
master thesis 2019
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Menon, Akash (author)
During dynamic positioning operations, vessels typically run with an extra generator (spinning reserve) for redundancy purposes such that no single fault will cause the vessel to lose its position or heading. As a result, all other engines on the grid share the load equally to ensure that if a failure were to occur, the remaining healthy...
master thesis 2019
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Berndsen, Martin (author)
Stratiform precipitation is one of the most important precipitation systems in the mid-latitudes. To gain understanding of the melting layer, which is part of a stratiform precipitating system, an algorithm which is able to select melting layer data from large datasets is required. The goal of this thesis work is to create and deliver a program...
master thesis 2019
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Bos, Evert (author)
With an in vehicle camera many different things can be done that are essential for ADAS or autonomous driving mode in a vehicle. First, it can be used for detection of general objects, for example cars, cyclists or pedestrians. Secondly, the camera can be used for traffic light recognition, which is localization of traffic light position and...
master thesis 2019
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Vermeer, Mathew (author)
The Internet is a relatively new technology that the world has become immensely dependent on. It is a tool that makes it possible to simplify our lives and better our society. But as with many things, there are people who with to exploit this tool we have for their own malicious gain. One of the mechanisms that we can use for protection against...
master thesis 2019
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Francica, Roberto (author)
The aim of this research thesis is to use machine learning models to distinguish owners of heat pumps from non-owners of heat pumps based on load profiles and temperature data only. As is the case with data mining project, its workflow can be divided into business understanding, data gathering, analysis, modeling and interpretation and...
master thesis 2019
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Yeh, Chia-Lun (author)
News is the main source of information about events in our neighborhood and around the globe. In an era of digital news, where sources vary in quality and news spreads fast, it is critical to understand what is being consumed by the public. Partisan news is news that favors certain political parties or ideologies. It is undesirable because news...
master thesis 2019
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Anand, Kanav (author)
Deep learning is proving to be a useful tool in solving problems from various domains. Despite a rich research activity leading to numerous interesting deep learning models, recent large scale studies have shown that with hyperparameter optimization it is hard to distinguish these models based on their final performance. Hyperparameter...
master thesis 2019
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Janssens, Martin (author)
Today's leading projections of climate change predicate on Atmospheric General Circulation Models (GCMs). Since the atmosphere consists of a staggering range of scales that impact global trends, but computational constraints prevent many of these scales from being directly represented in numerical simulations, GCMs require "parameterisations'' -...
master thesis 2019
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Jurasiński, Karol (author)
Recently, deep generative models have been shown to achieve state-of-the-art performance on semi-supervised learning tasks. In particular, variational autoencoders have been adopted to use labeled data, which allowed the development of SSL models with the usage of deep neural networks. However, some of these models rely on ad-hoc loss additions...
master thesis 2019
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Terleth, Niels (author)
Due to their powerful approximation capabilities, artificial neural networks have seen a wide interest in various fields. A particular application is the use of an artificial neural network to predict solutions of the governing equations for fluid flow i.e. the Navier-Stokes equations. This is done by taking the space and time variables as the...
master thesis 2019
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Herrera Herrera, Meylin (author)
Landslides are destructive and recurrent natural disasters that cost annually significant social and economic losses all over the world. These events can be induced by natural factors as earthquakes and extreme rainfall, as well as by human intervention, including construction and mining. A primary resource to conduct landslides studies for...
master thesis 2019
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Meijer, Wilko (author)
The mobile phone has become an important part of people's lives and which apps are used says a lot about a person. Even though data is encrypted, meta-data of network traffic leaks private information about which apps are being used on mobile devices.Apps can be detected in network traffic using the network fingerprint of an app, which shows...
master thesis 2019
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Pleij, Markus (author)
With climate change increasing its mark on all aspects of the hydrological cycle, societies all over the world living in flood-prone areas are increasingly exposed to flood hazards. In many parts of the world, especially in less developed areas, societies lack knowledge and data to predict future flood events. By predicting a future flood event,...
master thesis 2020
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