Sökning: "Adaptive Streaming"

Visar resultat 1 - 5 av 43 uppsatser innehållade orden Adaptive Streaming.

  1. 1. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Niklas Barth; [2023]
    Nyckelord :Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

    Sammanfattning : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. LÄS MER

  3. 2. Visual Attention Guided Adaptive Quantization for x265 using Deep Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Mikaela Gärde; [2023]
    Nyckelord :video encoding; deep learning; visual attention; adaptive quantization; videokodning; djupinlärning; visuellt fokus; adaptiv kvantisering;

    Sammanfattning : The video on demand streaming is raising drastically in popularity, bringing new challenges to the video coding field. There is a need for new video coding techniques that improve performance and reduce the bitrates. LÄS MER

  4. 3. Investigating the impact of physical layer transmission for Bluetooth LE Audio

    Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datavetenskap

    Författare :Kevin Arponen; Axel Björkman; [2023]
    Nyckelord :Bluetooth Low Energy; Energy consumption; LC3; LE Audio; Physical Layer; Throughput; Wireless audio streaming; Wireless communication;

    Sammanfattning : Bluetooth Low Energy (BLE) is a widely used low-energy version of Bluetooth’swireless protocol. To meet increasing requirements of modern wireless audio devices,Bluetooth LE Audio was released with its new Low Complexity CommunicationsCodec (LC3) being much more data efficient than its predecessor Low Complexity SubBand Coding. LÄS MER

  5. 4. A dynamically adaptive Bluetooth system : Improving the range of Bluetooth classic 4.2 using Forward Error Correction

    Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Matilda Akerlund; Louai Alaranji; [2023]
    Nyckelord :Audio quality; Bluetooth Classic; Fail Rate; Forward error correction; Range; Success rate; Wireless Technologies;

    Sammanfattning : Wireless technology has increased in popularity since its invention, being embedded in many devices, such as smartphones, laptops, earphones etcetera. One of those technologies is Bluetooth, which is a short-range technology that is widely used worldwide. LÄS MER

  7. 5. Predicting Indoor Carbon Dioxide Concentration using Online Machine Learning : Adaptive ventilation control for exhibition halls

    Master-uppsats, Jönköping University/Tekniska Högskolan

    Författare :Filip Carlsson; Edvin Egerhag; [2022]
    Nyckelord :CO2 Prediction; CO2 Concentration; Exhibition Halls; Online Machine Learning; Machine Learning; Streaming Data;

    Sammanfattning : A problem that exhibition halls have is the balance between having good indoor air quality andminimizing energy waste due to the naturally slow decrease of CO2 concentration, which causes Heat-ing, Ventilation and Air-Conditioning systems to keep ventilating empty halls when occupants have leftthe vicinity. Several studies have been made on the topic of CO2 prediction and occupancy predictionbased on CO2 for smaller spaces such as offices and schools. LÄS MER