Sökning: "examensarbete LTH"
Visar resultat 1 - 5 av 60 uppsatser innehållade orden examensarbete LTH.
1. Klimatanpassning av svensk järnväg ur ett riskperspektiv - Var står vi och vart är vi på väg
Master-uppsats, Lunds universitet/Riskhantering (CI); Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : The world faces significant climate changes with potential societal disruptions and risks to critical infrastructure like railways. This study explores the topic of climate change, extreme weather, and changing travel patterns for Swedish railways. LÄS MER
2. Evaluation of Excess Heat Driven Carbon Capture Integrated at a Swedish Pulp Mill
Master-uppsats, Lunds universitet/Kemiteknik (CI)Sammanfattning : As the atmospheric carbon dioxide keeps increasing, bioenergy with carbon capture and storage (BECCS) is getting increased attention as a measure to reduce the emissions of carbon dioxide. It is especially interesting in Sweden where the extensive paper and pulp industry constitutes point sources of biogenic carbon dioxide. LÄS MER
3. Carbon Capture for Biomass Combustion
Master-uppsats, Lunds universitet/Institutionen för energivetenskaperSammanfattning : In order to limit global warming, bioenergy carbon capture and storage (BECCS) technologies are getting increased attention. To meet emission scenarios, an estimated 4000 carbon capture plants are expected to be required by 2030, indicating that progress in carbon capture and storage (CCS) deployment is currently lagging behind expectation. LÄS MER
4. Joint CFR and DPD optimization for 5G Digital Front Ends
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : This thesis project investigates the topic of joint optimization for crest factor reduction and digital predistortion blocks, which are used for digital correction of analogue impairments in digital radio front ends. The work first investigates the effects of joint parameter variation of the above blocks on the global performance and computational cost of the digital chain, given reference CFR and DPD algorithms. LÄS MER
5. Detecting Images Outside Training Distribution for Fingerprint Spoof Detection
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Artificial neural networks are known to run into issues when given samples that deviate from the training distribution, where the network may confidently provide an incorrect answer. Out-of-distribution detection methods aims to provide a solution to this issue, by detecting data that deviates from the distribution used to train the model. LÄS MER