Search for dissertations about: "Scaling Methods"
Showing result 1 - 5 of 207 swedish dissertations containing the words Scaling Methods.
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1. CFD Methods for Predicting Aircraft Scaling Effects
Abstract : This thesis deals with the problems of scaling aerodynamic data from wind tunnel to free flight conditions. The main challenges when this scaling should be performed is how the model support, wall interference and the potentially lower Reynolds number in the windtunnel should be corrected. READ MORE
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2. Studies of distributions in physics using maximum entropy and scaling methods
Abstract : The maximum entropy method (MEM) is applied in the analysis of equilibrium systems. Some general properties of the MEM and how to choose constraints as well as moments are discussed. A numerically stable algorithm is developed and implemented. Distributions arising from physical processes are studied. READ MORE
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3. Sharing Good Examples, Then What? : Investigations of Contingency and Continuity in the Scaling-of-ESD-Activities-as-Learning
Abstract : This thesis aims to contribute to a deepened and nuanced understanding of scaling in environmental and sustainability education (ESE) research, specifically, to develop a conceptual framework for engaging with issues of scaling in policy and practice regarding education for sustainable development (ESD). Three research objectives are formulated. READ MORE
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4. Sodium Salt Scaling in Black Liquor Evaporators
Abstract : Sodium salt scaling has long been recognized as a problem in the recovery cycle of kraft pulp mills, especially in black liquor evaporators. In the black liquor evaporation, as the black liquor becomes more concentrated, the sodium salts, particularly sodium carbonate and sodium sulfate, will saturate and precipitate from the solution. READ MORE
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5. Topological and Scaling Analysis of Geospatial Big Data
Abstract : Geographic information science and systems face challenges related to understanding the instinctive heterogeneity of geographic space, since conventional geospatial analysis is mainly founded on Euclidean geometry and Gaussian statistics. This thesis adopts a new paradigm, based on fractal geometry and Paretian statistics for geospatial analysis. READ MORE