Search for dissertations about: "Land acquisition"
Showing result 11 - 15 of 20 swedish dissertations containing the words Land acquisition.
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11. Development of RMT techniques for urban infrastructure planning : Stockholm Bypass (Förbifart) case study
Abstract : The tensor radio-magnetotelluric (RMT) method has extensively been used in near-surface investigations to obtain resistivity models of the subsurface. The main objective of this thesis is to further develop the RMT survey technique for a less paid attention and challenging environment namely on shallow water bodies and in the urban environment. READ MORE
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12. A Fault Detection Framework Using Recurrent Neural Networks for Condition Monitoring of Wind Turbines
Abstract : The global energy system is experiencing a transition to a sustainable system with ambitious targets for increased use of renewable energy. One key trend for this transition has been the large introduction of wind power and integration into the electricity grid. READ MORE
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13. Role of phagotrophy in freshwater phytoplankton
Abstract : Some phytoplankton have the ability to combine phototrophy and heterotrophy within the same individual, which is called mixotrophy. In this thesis, I adress mixotrophy and competitive interactions of mixotrophs and obligate auto- or heterotrophs in relation to the availability of nutrients, light and prey. READ MORE
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14. Towards the compilation of a new Digital Bathymetric Model of the North Atlantic Ocean
Abstract : Topography on land and bathymetry, its underwater depth equivalent, belong to the most fundamental attributes of the solid earth's surface. Over two thirds of the earth is covered by water, with about 90% of this area lying more than 1000m below the sea surface. READ MORE
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15. Deriving landscape metrics from sample data
Abstract : This thesis focuses on the efficiency of using sampling methods to derive landscape metrics. It also explores what sampling methods are to be preferred for different metrics and how metrics in some cases can be redefined to better suit a sample-based data collection framework. READ MORE