Sökning: "2D FEM"
Visar resultat 1 - 5 av 82 uppsatser innehållade orden 2D FEM.
1. Prediction of Reverberation Time in Office Spaces by Investigation of the Scattering Factor in Odeon
Master-uppsats, KTH/Teknisk akustikSammanfattning : Accurate estimations of the reverberation time of furnished office spacesis essential as an acoustic consultant. A time efficient way to predict thefurniture’s effect is to investigate it by software modelling. The room acousticsoftware Odeon is suitable for doing this. LÄS MER
2. Feasibility of Mobile Phone-Based 2D Human Pose Estimation for Golf : An analysis of the golf swing focusing on selected joint angles
Master-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : Golf is a sport where the correct technical execution is important for performance and injury prevention. The existing feedback systems are often cumbersome and not readily available to recreational players. To address this issue, this thesis explores the potential of using 2D Human Pose Estimation as a mobile phone-based swing analysis tool. LÄS MER
3. Predicting eigenvalues and eigenmodes in non-rectangular rooms with machine learning techniques
Master-uppsats, KTH/Teknisk akustikSammanfattning : Knowing the eigenfrequencies and eigenmodes is of great importance to interior design and a common acoustic engineering problem. Challenges in noise control makes knowing the lower eigenfrequencies particularly important. LÄS MER
4. The impact of snow loads on snow galleries : An initial evaluation of the snow galleries on the Iron Ore Line in Northern Sweden
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurserSammanfattning : The snow galleries along the Iron ore railway line in northern Sweden have had major problems in recent years due to increasingly large snow loads. Despite great efforts reducing the loads by shoveling off the snow, several of the galleries have been damaged. LÄS MER
5. Research and Application of 6D Pose Estimation for Mobile 3D Cameras
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This work addresses the deep-learning-based 6 Degree-of-Freedom (DoF) pose estimation utilizing 3D cameras on an iPhone 13 Pro. The task of pose estimation is to estimate the spatial rotation and translation of an object given its 2D or 3D images. LÄS MER