Sökning: "3D arkitektur"
Visar resultat 1 - 5 av 94 uppsatser innehållade orden 3D arkitektur.
1. Radar and sea clutter simulation with Unity 3D game engine
M1-uppsats, Linköpings universitet/Programvara och systemSammanfattning : Game engines are well known for their use in the gaming industry but are starting to have an impact in other areas as well. Architecture, automotive, and the defence industry are today using these engines to visualise and, to some extent, test their products. LÄS MER
2. Influence of Varying Electric Light Distribution on Melanopic Equivalent Daylight Illuminance and Lighting Energy Use
Master-uppsats, Lunds universitet/Institutionen för arkitektur och byggd miljö; Lunds universitet/Avdelningen för Energi och byggnadsdesignSammanfattning : Human beings in modern society spend more than 90% of their time indoors to live, work, and socialize. To improve health, quality of life and task performance, integrative lighting is designed to give the right light at the right time at the eye to stimulate circadian entrainment. LÄS MER
3. Room Impulse Response Interpolation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In Virtual Reality (VR) systems, the incorporation of acoustics allows for the generation of audio-visual stimuli, facilitating applications in engineering, architecture, and design. The goal of virtual acoustics is to create a realistic sound field in continuous space. LÄS MER
4. Exploring Normalizing Flow Modifications for Improved Model Expressivity
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Normalizing flows represent a class of generative models that exhibit a number of attractive properties, but do not always achieve state-of-the-art performance when it comes to perceived naturalness of generated samples. To improve the quality of generated samples, this thesis examines methods to enhance the expressivity of discrete-time normalizing flow models and thus their ability to capture different aspects of the data. LÄS MER
5. Self-supervised pre-training of an attention-based model for 3D medical image segmentation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Accurate segmentation of anatomical structures is crucial for radiation therapy in cancer treatment. Deep learning methods have been demonstrated effective for segmentation of 3D medical images, establishing the current standard. However, they require large amounts of labelled data and suffer from reduced performance on domain shift. LÄS MER