Search for dissertations about: "geometri och analys Analys"

Showing result 21 - 25 of 51 swedish dissertations containing the words geometri och analys Analys.

  2. 21. Reflector Optimization for Low Concentration Photovoltaic-Thermal Solar Collectors

    Author : Diogo Cabral; Hans Wigö; Björn O. Karlsson; Maria João Carvalho; Högskolan i Gävle; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Photovoltaic-thermal collector; experimental assessment; collector performance assessment; optical efficiency; concentrating PVT solar collector; ray tracing; Fotovoltaisk-termisk kollektor; experimentell utvärdering; prestandautvärdering; optisk effektivitet; koncentrerande PVT-solfångare; strålgångsanalys;

    Abstract : The alarming new global warming and increasing awareness related to climate change (mainly due to the high emissions of carbon dioxide) in recent decades linked all nations into a common cause, which requires ambitious efforts to combat climate change by adapting energy systems to its effects.The knowledge gain presented in this dissertation establishes the foundations for the development of a more efficient concentrating photovoltaic-thermal (PVT) solar collector. READ MORE

  4. 22. Laser Absorption Spectroscopy of Gas in Scattering Media

    Author : Märta Lewander; Atomfysik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; medical diagnosis; gas analysis; absorption spectroscopy; diode laser spectroscopy; light scattering; food-package monitoring; GASMAS;

    Abstract : Absorption spectroscopy constitutes a chemical analysis tool which can be applied to various samples and application fields. This thesis focuses on gas absorption spectroscopy with the means of diode lasers - tunable diode laser absorption spectroscopy, TDLAS. READ MORE

  5. 23. On the linearization of non-Archimedean holomorphic functions near an indifferent fixed point

    Author : Karl-Olof Lindahl; Andrei Khrennikov; Franco Vivaldi; Växjö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; dynamical system; linearization; conjugation; non-Archimedean field; Algebra; geometry and mathematical analysis; Algebra; geometri och analys; Mathematics; Matematik;

    Abstract : We consider the problem of local linearization of power series defined over complete valued fields. The complex field case has been studied since the end of the nineteenth century, and renders a delicate number theoretical problem of small divisors related to diophantine approximation. READ MORE

  6. 24. Accuracy, efficiency and robustness for rigid particle simulations in Stokes flow

    Author : Anna Broms; Anna-Karin Tornberg; Mattias Sandberg; Eric Keaveny; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Stokes flow; rigid particles; accuracy; fundamental solutions; method of images; multiblob; contact avoiding; complementarity problem; barrier method; elliptic PDE; grid optimisation; pair-correction; boundary integral equations; Stokesflöde; noggrannhet; stela partiklar; fundamentallösningar; randintegralekvation; reflektionspunkter; multiblob; kontaktundvikande algoritmer; komplementaritetsproblem; barriärmetod; elliptisk PDE; gridoptimering; parkorrektion; Numerical Analysis; Numerisk analys;

    Abstract : The thesis concerns simulation techniques for systems of nano- to micro-scaled rigid particles immersed in a viscous fluid, ubiquitous in nature and industry. With negligible fluid inertia, the set of PDEs known as the Stokes equations can be used to model the hydrodynamics. READ MORE

  7. 25. On Symmetries and Metrics in Geometric Inference

    Author : Giovanni Luca Marchetti; Danica Kragic; Anastasiia Varava; Emanuele Rodolà; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Computational Geometry; Voronoi; Delaunay; Symmetry; Equivariance; Datalogi; Computer Science;

    Abstract : Spaces of data naturally carry intrinsic geometry. Statistics and machine learning can leverage on this rich structure in order to achieve efficiency and semantic generalization. Extracting geometry from data is therefore a fundamental challenge which by itself defines a statistical, computational and unsupervised learning problem. READ MORE