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  1. 1. Test Equipment for the LUCAS Chest Compression System: Incorporating Biomechanical Insights for Future Design Enhancements

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Ester Pörtfors; Malin Svärdling; [2024]
    Nyckelord :Mechanical CPR; Cardiopulmonary Resuscitation; LUCAS Chest Compression System; Test Equipment; Chest Biomechanics; Chest Stiffness; Technology and Engineering;

    Sammanfattning : The LUCAS Chest Compression System is a market leading mechanical cardiopulmonary resuscitation device, assisting medical professionals worldwide when treating patients with sudden cardiac arrest. The objective of this master thesis project was to develop a new, adjustable test equipment for the LUCAS device, allowing for tests on varying chest heights and stiffness levels. LÄS MER

  3. 2. The Impact of Deep Neural Network Pruning on the Hyperparameter Performance Space: An Empirical Study

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Jonna Matthiesen; [2023-10-24]
    Nyckelord :Compression; Deep Learning; DNN; Hyperparameters; Optimization; Pruning; Hyperparameter Optimisation; Hyperparameter Tuning;

    Sammanfattning : With the continued growth of deep learning models in terms of size and computational requirements, the need for efficient models for deployment on resource-constrained devices becomes crucial. Structured pruning has emerged as a proven method to speed up models and reduce computational requirements. LÄS MER

  4. 3. Compression of Sequential Voxel Data for Sequence-based Animation

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Filip Antonijevic; [2023-10-23]
    Nyckelord :voxel; octree; grid; compression; animation; spatiotemporal; sorting; reordering; DXT; HSV;

    Sammanfattning : This thesis presents a method for lossy compression of voxel data in an animation sequence. Uncompressed voxel animation can become very memory intensive and therefore need a more efficient method to store and render such data. LÄS MER

  5. 4. Optimizing Quantum Computer Simulations With Data Compression & GPU Acceleration

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Erik Ljung; Darko Petrov; Felix Bråberg; Björn Forssén; Beata Ringmar; Jonas Hedlund; [2023-03-03]
    Nyckelord :;

    Sammanfattning : Simulating quantum computers involves high memory usage and often long execution times. For that reason the purpose of this project was to analyze whether data compression and GPU acceleration can be used to run simulations with more qubits than previously allowed. LÄS MER

  7. 5. Construction and evaluation of a lossless image format, Carbonara

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Viktor Rösler; [2023]
    Nyckelord :Data Compression; Image Compression; Image Format; Software Development;

    Sammanfattning : High-speed laser triangulation 3D cameras, such as the Ranger3 from SICK, transmit image data to a PC for processing. The camera’s operational speed is constrained by the capabilities of the transmission link. By compressing the data, the bandwidth requirements of the camera is reduced. LÄS MER