The research focuses on the characterization of wind flow over complex terrain of Nygårdsfjell and numerical wind flow modelling. In the context to research focus, the main contributions of this research thesis are within the following areas: Characterization of wind flow at the Nygårdsfjell wind farm, situated in the arctic circle in Norway. Wind data is collected from the anemometers installed on ...

High-resolution swath bathymetry, TOPAS sub-bottom profiles and four gravity cores from the Brunt Basin, southeastern Weddell Sea in Antarctica, were analysed with the purpose of reconstructing the ice sheet dynamics since the last glacial. Data collection was carried out by the British Antarctic Survey (BAS) and data analyses were carried out in a collaboration between the Department of Geosciences ...

The growing wind power industry, increased occurrence of extreme weather, and the need for becoming independent of fossil fuels motivate the research on accurate simulation of near-surface wind. The aim of this study is wind resource assessment at the potential wind park site Rieppi, using two on-site measurement masts, simulations from the Weather Research and Forecasting (WRF) model, and ERA-Interim ...

The principle focus of this thesis is the characterization of an on-chip methane sensor based on a waveguide interferometer. It incorporates cryptophane-A molecules in the waveguide cladding to enhance sensitivity and selectivity towards methane. First, the sensor was characterized for sensitivities to ambient conditions, in particular its temperature and pressure sensitivity. The measurement ...

The main objectives of this work were to investigate a) the feasibility of depositing multi-walled carbon nanotubes (MWCNTs) homogeneously on metal substrates by electrophoresis and b) the performance of MWCNT coatings as spectrally selective absorbers. Stable aqueous MWCNT suspensions were prepared and employed in electrophoretic deposition (EPD) of MWCNT coatings on aluminum substrates. The surface ...

A wide range of machine learning methods have taken advantage of density estimates and their derivatives, including methodology related to principal manifolds and mode seeking, finding use in a number of real applications. However, research concerned with improving density derivative estimation and its practical use have received relatively limited attention. Also, the fact that the derivatives ...

It is challenging to plan for the future, especially if there are uncertainties. In the retail store business making the right orders at the right time might have a severe impact on the profit of the store. Maintaining the right inventory is a part of this. With fluctuations in price and competition, having the best deals, and being at the whims of the customers making sure that the store has the ...

In a computer-based distributed stage performance, such as a theater play or opera, the actors and the audiences are spread among different stages in different locations. Actors in different cities can be on the same virtual stage and perform in front of an audience that can enjoy a whole consistent performance. A distributed stage performance raises a set of challenges both of a principled and of ...

In 2012, a new method for calculating the Casimir force between compact objects was developed, expressing the force in terms of a boundary integral equation. The case of perfectly conducting objects with Dirichlet boundary conditions in two dimensions was treated by Isak Kilen. The method was later extended to three dimensions by Karl Øyvind Mikalsen. The contribution of this thesis will be to ...