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Showing result 1 - 5 of 62 essays matching the above criteria.
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1. Risk Assessment for Space Debris Collisions
University essay from KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanikAbstract : The increasing reliance on space infrastructure and its rapid expansion necessitate the development and enhancement of tools for space debris and fragmentation research. Accurate prediction of the risks associated with satellite fragmentation requires comprehensive understanding of the dynamics involved. READ MORE
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2. Towards Navigational Aids using Augmented Reality for People with Alzheimer’s Disease in Outdoor Environments : A user study using HoloLens 2 around a University campus
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This paper investigates the potential of augmented reality (AR) as a navigational aid for individuals with Alzheimer’s disease (AD), offering innovative solutions to the evolving challenges of AD care. As the disease progresses, patients often require more assistance and may transition to care centers, resulting in reduced independence. READ MORE
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3. Avatar Control using Eye-Tracking in Virtual Reality : A user study on the sense of embodiment, user experience and workload using a Unity3D Prototype
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This master’s thesis investigates methods for improving accessibility in virtual reality (VR), focusing on avatar control for individuals with limited mobility. VR offers an opportunity to help them with specific rehabilitation. READ MORE
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4. Convolutional-LSTM for IGBTs Prognostics and Age Monitoring : Designing a neural network for predicting aging precursors in power devices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, extensive research efforts have been dedicated to the field of prognostics and age-related degradation, with major focus on higher complexity devices. However, relatively little attention has been given to power devices, such as Insulated Bipolar Gate Transistors (IGBTs), despite their critical role in high power electronic applications. READ MORE
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5. Improving Soil Information with Generative and Machine Learning Models
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Soil data observations are among the most difficult data to collect. Low sample density along with the high cost of sampling has made current soil information that are usually presented as maps, unusable for detailed applications such as modelling earth system dynamics, crop modelling, natural hazards prediction and climate change impacts. READ MORE