Essays about: "optics"
Showing result 31 - 35 of 203 essays containing the word optics.
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31. Topological Photonic Lattices
University essay from KTH/Tillämpad fysikAbstract : Topological Photonics is a rapidly growing field which explores the ideas of topological invariants adapted from condensed matter physics to optical systems. Thanks to integrated photonics platforms, the evolution of light in nanoscale photonic lattices can enable direct measurement of topological properties of the band-structure. READ MORE
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32. Raytracing in Channel Model Development
University essay from Karlstads universitetAbstract : The fifth generation of mobile internet is upon us, but still, there is work to do before the new technology is fully utilized. The new generation of cellular network promises frequencies ranging from the sub – 6 GHz to 39 GHz, the latter being in the mmWave spectrum. READ MORE
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33. Automation of Gluing Processes in the Optical Manufacturing Industry
University essay from Linköpings universitet/Fordonssystem; Linköpings universitet/Tekniska fakultetenAbstract : The purpose of this thesis is to investigate the possibilities of automating a gluing process in the optical manufacturing industry. Aimpoint, a Swedish company that manufactures red-dot sights was the industrial partner in this thesis. READ MORE
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34. Design of Instrumentation & Control and Optical Table Instruments for the Divertor Flow Monitor Diagnostic at ITER
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : This master's thesis describes the process of the design and instrument selection for a future optical table, part of a plasma flow monitor diagnostic system at the international thermonuclear experimental reactor, ITER. The diagnostic system is designed to detect the presence of edge localized mode, low to high confinement mode transition of plasma, and plasma flow velocity in the divertor region of the reactor. READ MORE
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35. Deep learning for nanofluidic scattering microscopy
University essay fromAbstract : A novel technique for label-free, real-time characterization of single biomolecules called Nanofluidic Scatter Microscopy (NSM) has recently been developed by a the Langhammer research group at Chalmers. We have created a machine learning (ML) framework consisting of deep convolutional neural networks such as U-nets, FCNNs, and YOLO in order to characterize single biomolecules through kymographs collected through NSM, as an alternative approach to a standard data analysis method (SA). READ MORE