Sökning: "Datakomprimering"

Visar resultat 1 - 5 av 8 uppsatser innehållade ordet Datakomprimering.

  1. 1. Jämförelse av datakomprimeringsalgoritmer för sensordata i motorstyrenheter

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Malin Möller; Dominique Persson; [2023]
    Nyckelord :data compression; time-series data; embedded systems; engine control units; inverters; datakomprimering; tidsseriedata; inbyggda system; motorstyrenheter; växelriktare;

    Sammanfattning : Begränsad processor- och minneskapacitet är en stor utmaning för loggning avsensorsignaler i motorstyrenheter. För att kunna lagra större mängder data i dessakan komprimering användas. LÄS MER

  3. 2. Compression of Large-Scale Aerial Imagery : Exploring Set Redundancy Methods

    Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/Datavetenskap

    Författare :Solvej Lüdeking; [2023]
    Nyckelord :Set redundancy; image compression; aerial imagery;

    Sammanfattning : Compression of data has been historically always important; more data is gettingproduced and therefore has to be stored. While hardware technology advances,compression should be a must to reduce storage occupied and to keep the data intransmission as small as possible. LÄS MER

  4. 3. The effects of data compression on the decoding of neuronal activity during handwriting with a comparison between linear and nonlinear models

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :William Bigert; Marcus Friberg; [2022]
    Nyckelord :;

    Sammanfattning : Brain computer interfaces (BCI) play a key role in enabling individuals who are suffering from the dreaded locked-in syndrome or severe forms of paralysis to communicate with the world around them. A state of the art BCI was developed by Willet et al. LÄS MER

  5. 4. Towards reducing bandwidth consumption in publish/subscribe systems

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

    Författare :Yifan Ye; [2020]
    Nyckelord :pub sub; 5G; MEC; data reduction; IoT.; pub sub; 5G; MEC; datareduktion; IoT.;

    Sammanfattning : Efficient data collection is one of the key research areas for 5G and beyond, since it can reduce the network burden of transferring massive data for various data analytics and machine learning applications. Specifically, 5G offers great support for massive deployment of IoT devices, and the number of IoT devices is exploding. LÄS MER

  7. 5. Experimental Study on Machine Learning with Approximation to Data Streams

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

    Författare :Jiani Jiang; [2019]
    Nyckelord :Data Streaming; Time Series; Data Compression; Machine Learning; Efficient Data Transportation; Dataströmning; Tidsföljder; Datakomprimering; Maskininlärning; Effektiv datatranspor;

    Sammanfattning : Realtime transferring of data streams enables many data analytics and machine learning applications in the areas of e.g. massive IoT and industrial automation. Big data volume of those streams is a significant burden or overhead not only to the transportation network, but also to the corresponding application servers. LÄS MER