Search for dissertations about: "S Bengtsson"
Showing result 1 - 5 of 28 swedish dissertations containing the words S Bengtsson.
-
1. Models and Methods for Development of DSP Applications on Manycore Processors
Abstract : Advanced digital signal processing systems require specialized high-performance embedded computer architectures. The term high-performance translates to large amounts of data and computations per time unit. The term embedded further implies requirements on physical size and power efficiency. READ MORE
-
2. Genetic Traits Beneficial for Xylose Utilization by Recombinant Saccharomyces cerevisiae
Abstract : Saccharomyces cerevisiae ferments hexoses in lignocellulosic hydrolysates under anaerobic conditions with high rates and ethanol yields. However, S. cerevisiae is naturally unable to utilize the pentose fraction of the hydrolysates. Xylose is the most abundant pentose sugar, and although recombinant S. READ MORE
-
3. Robust self-localization of mobile robots in dynamic environments using scan matching algorithms
Abstract : The most fundamental task for any mobile robot is to perform self-localization in the world in which it is currently active, i.e. determine its position relative its world. Encoders that count wheel rotations are often used, which can be turned into relative position estimates by mean of integration. READ MORE
-
4. On the etiology and pathogenesis of systemic lupus erythematosus with special reference to environmental factors
Abstract : Systemic lupus erythematosus (SLE) is a complex autoimmune disease in which environmental factors interact with genetic factors in the development of the disease process and evolution of clinical manifestations. In this thesis both exogenous factors and host factors were investigated, as well as important immunopathological aspects including involvement of immune complex (IC), the complement system and interferon-alpha (IFN-α). READ MORE
-
5. Applications of Bayesian Econometrics to Financial Economics
Abstract : This PhD thesis consists of four separate papers. What these papers have in common is that Bayesian Econometrics, in combination with Markov chain Monte Carlo (MCMC) methods, is applied to study various problems in financial economics. READ MORE