MRI for Africa: The design of an MRI for the diagnosis of infant hydrocephalus in Ugandan hospitals

Magnetic resonance imaging (MRI) is a medical diagnostic imaging technology characterized by its high cost and infrastructure demands. This makes it unsuitable for implementation in low- and medium-income countries. Its costs are directly related to the strength of the system’s magnetic field. Therefore, an MRI scanning technology dedicated for...

Predicting the sea surface from high resolution multi-beam FMCW radar data

In this thesis a deterministic wave model is used to reconstruct and predict the sea surface motion from FMCW (Frequency Modulated Continuous Wave) radar data, produced by Radac. The deterministic model that is used to do this is based on the linear wave theory. The radar is looking horizontally straight towards the waves in 5 separate beam...

Predicting the air quality by combining model simulations with machine learning

Combating air pollution has proven to be a difficult task for countries with rapidly developing economies. Poor air quality can be hazardous to people doing any outdoor activities. So being able to make accurate, short term air quality predictions can be very useful. However, making these predictions has proven to be quite difficult, since there...

Parameter Estimation of the Hamiltonian of the Nitrogen-Vacancy Center in Diamond

The Hamiltonian of the NV center contains unknown parameters, such as the zero-field splitting and the magnetic field. Knowing how the frequency measurements depend on the parameters will give greater understanding<br/>of the NV center. Including the nitrogen nuclear spin gives us the opportunity to find more parameters such as the quadrupole...

Particle models for sand transport in water: analysis and simulations

This thesis describes how the simple random walk particle model can be extended to account for sand deposition and suspension, and for particle interaction: clumping together and falling apart. The extended models are analyzed, and the corresponding partial differential equations are derived. These equations are compared to the currently used...

Grey-box models for prediction and control of solar district heat plants

It has become clear that the global energy system needs to shift away from fossil fuels towards clean, renewable energy sources. Experience in the past decades has shown that at-plate solar heat panels can play a role in the energy system of the future, in particular in solar collector fields for district heat generation. This thesis concerns...

Resilience and Synchronization Behaviour within Mean Field Models

The study of the dynamics of large, complex networks is generally very hard. Analytical solutions are rarely available and numerical solutions require immense computation times. Recently, Gao et al. [1]have proposed a new theoretical approach to analyse the average behaviour of complex networks. In this research we discuss the derivation of the...