Essays about: "stream power"
Showing result 11 - 15 of 108 essays containing the words stream power.
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11. Impact of Implementing CCS Technology on a Biomass Power Plant
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : This study examines the implementation of carbon capture and storage (CCS) technology, specifically the monoethanolamine (MEA) chemical absorption method, in a biomass power plant. The aim is to assess the energy requirements and optimize the solvent processes to improve the overall efficiency of the carbon capture process. READ MORE
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12. Arbitrary motion Synthetic Aperture Radar
University essay from Lunds universitet/Matematisk statistikAbstract : Syftet med denna avhandling är att utveckla en ny metod för att producera bilder med syntetisk aperturradar (SAR), med utgångspunkt i scenarier med arbiträr rörelse vad gäller radarsensorn. SAR är en väletablerad metod för att skapa 2- eller 3-dimensionella radarbilder, som traditionellt sett antar att radar-sensorns rörelse är linjär och förutsägbar. READ MORE
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13. Governing During the Pandemic : Changes in Risk Governance and Power in Sweden during the COVID-19 pandemic
University essay from Karlstads universitet/Fakulteten för humaniora och samhällsvetenskap (from 2013)Abstract : Background: The COVID-19 pandemic showed that disastrous events can develop in ways both new and surprising. It demonstrated that an infectious disease can easily spread over the globe in a matter of weeks. READ MORE
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14. Performance Analysis of a Godot Game-Agnostic Streaming Tool
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Streaming games is traditionally done with video and audio both for watching on websites like Twitch and YouTube or playing via cloud gaming services. Streaming with video and audio requires good internet speeds to be of satisfactory quality therefore compression algorithms are used. READ MORE
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15. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization
University essay from Lunds universitet/Matematik LTHAbstract : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. READ MORE