Recent Submissions 

  1. Optimizing the size of a fully renewable power system to meet energy demand 

    van Brummen, Anna (2019)
    In electricity grids, demand and generation must be balanced at all times. Modern electricity is primarily generated by baseload power sources, such as nuclear and coal, and quickly dispatchable sources, such as gas fired power plants. As anthropogenic total CO2 emissions already make up almost 75% of the atmosphere's total carbon content, governments are increasingly implementing renewable energy mandates. Therefore future electricity ...
    Master Thesis
  2. Shaping species richness: ecological filtering in native and non-native plants along elevation gradients in the Swiss Alps 

    Righetti, Damiano (2012)
    Ecological filtering, imposed by climatic constraints or competitive interactions, might shape distribution patterns of native and non-native plants differently along elevation gradients. However, patterns of species richness that might reflect these processes have rarely been compared between native and non-native plants. All angiosperms and gymnosperms were recorded along and away from three road-corridors that vertically extended >1100 ...
    Master Thesis
  3. The Impact of Self-consumption Regulation on Individual and Community Solar PV Adoption in Switzerland: an Agent-Based Model 

    Mehta, Prakhar (2019)
    Historically, Swiss solar PV adoption has been slow but Switzerland's Energy Strategy 2050 requires electricity production from renewables to increase 4.5 times by 2035 compared to 2017. The new Energy Act in Switzerland came into force in January 2018 with investment subsidies for practically all PV system sizes and very encouraging provisions for community solar PV systems – clearer financial and legal structures under the `Zusammenschluss ...
    Master Thesis
  4. End-to-End Collision Avoidance from Depth Input with Memory-based Deep Reinforcement Learning 

    Kang, Dongho (2019)
    The main goal of this work is learning a local path planning policy for mobile robots from a single depth camera input. We formulate the end-to-end local plan- ning problem as a Partially Observable Markov Decision Process and solve it using a Deep Reinforcement Learning algorithm. The main challenges of this setting comes from 1) the short-sightedness of reaction-based planners, and 2) the limited field-of-view of depth camera that ...
    Master Thesis
  5. Linear Induction Motor (LIM) for Hyperloop Pod Prototypes 

    Timperio, Christopher (2018)
    Mobility is one of the main dilemmas facing a sustainable, clean-energy future. How can people and cargo be transported over long distances, without expending large amounts of fossil fuel energies or producing a large carbon footprint? How can this be done quickly and efficiently? Finding a mode of transportation which is energy-efficient, inexpensive, and even offers passenger transport is the task which the Swissloop team is striving ...
    Master Thesis
  6. Analysis of advanced material models for complex industrial processes 

    Hippke, Holger (2016)
    The work presented analyzes a number of associated and non-associated constitutive models and discusses their advantages and disadvantages. Additionally, new models are introduced to attempt to combine the advantages of both methods. To be able to evaluate a large number of models under similar conditions, all models tested have been implemented in a user defined subroutine written in Fortran90 for LS-Dyna. Based on previous work, an ...
    Master Thesis
  7. The Potential of Digitalization for Sustainability: A Building Process Perspective 

    Naneva, Anita (2019)
    There is a potential of digitalization in improving sustainability throughout the entire building process. One way to address this potential is through BIM-LCA integration. Life-Cycle Assessment (LCA) is a method for analyzing the environmental impact of buildings. Building Information Modelling (BIM) is a methodology that can help to account for LCA during the Building Process. Current industry practice and research show that ...
    Master Thesis
  8. Vertex: Designing High-Performance Legs for Specialized Quadrupedal Robots 

    Lau, Hong Fai (2019)
    Legged robots have demonstrated how versatile all-terrain robot locomotion can be. Coupling this with other capabilities such as running at high speeds, carrying heavy payloads or any other general ones, make them appealing for outdoor applications. The typical design approach used to develop the legs of these robots has been actuator-centric. While this approach has worked well for general-purpose legged robots as seen from their promising ...
    Master Thesis
  9. Benchmarking Multi-Path Transport 

    Maag, Daniel (2019)
    Master Thesis
  10. Self-supervised line detection and clustering 

    Pagani, Sasha (2019)
    Master Thesis
  11. Evaluating and Improving Large-Scale Machine Learning Frameworks 

    Graur, Dan-Ovidiu (2019)
    Master Thesis
  12. A Computer-Based Examination System for XLogoOnline 

    Eschbach, David (2019)
    Master Thesis
  13. Mixed-curvature Variational Autoencoders 

    Skopek, Ondrej (2019)
    Master Thesis
  14. Faster High Resolution Image Enhancement 

    Li, Guanju (2019)
    Master Thesis

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