Sökning: "Evaluering"
Visar resultat 6 - 10 av 256 uppsatser innehållade ordet Evaluering.
6. Evaluating the performance of CUDA Graphs in common GPGPU programming patterns
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : CUDA Graphs is a relatively new and unexplored feature of CUDA that presents an alternative for submitting work to the GPU. This report aims to evaluate the performance benefits of CUDA Graphs. The means to this end was a benchmark suite containing CUDA applications that do not utilise CUDA Graphs. LÄS MER
7. Evaluating the Performance of a Solar Thermal Field: A Case Study with Proposed Improvements
Master-uppsats, Lunds universitet/Institutionen för energivetenskaperSammanfattning : Given the urgency of climate change, alternative energy sources, and policy strategies are needed to reach the net-zero emission goals and halt global warming. Solar thermal energy is a renewable and abundant energy source that could be a part of the solution. LÄS MER
8. Monitoring of Partial Discharges on Cable Terminations : An experimental approach to evaluate non-conventional online PD measurement techniques
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The transmission of electric power over long distances has historically posed challenges. However, the advent of high-voltage engineering has not only addressed distance barriers and power losses in electricity transmission and distribution, but it has also significantly improved the efficiency and transmission capacity of power grids. LÄS MER
9. Evaluation of Velocity Obstacle Approaches for Groups of Agents Navigating Everyday Scenarios
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : As recent years have seen an increase in use of robotics in both public and private spaces, evaluations to ensure safe and efficient navigation through common scenarios are needed. The same evaluations can improve simulations of human behaviour used in for example evacuation simulations. LÄS MER
10. Rotor temperature estimation in Induction Motors with Supervised Machine Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. LÄS MER