Sökning: "time domain algorithms"

Visar resultat 1 - 5 av 135 uppsatser innehållade orden time domain algorithms.

  1. 1. Modeling wave behavior with linear wave theory

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Elsa Renström; [2024]
    Nyckelord :;

    Sammanfattning : This thesis aimed to look at the behaviours of the water beneath waves from a modeling and simulations point of view. We have investigated how to use Linear wave theory (LWT) to model the kinematic movements in water governed by free ocean waves. The model assumes the surface to consist of a superposition of sinusoidal waves. LÄS MER

  3. 2. Time-based Key for Coverless Audio Steganography: A Proposed Behavioral Method to Increase Capacity

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :John Alanko Öberg; Carl Svensson; [2023]
    Nyckelord :Coverless audio steganography; information hiding; covert communication; effective capacity; behavioral; Täcklös ljudsteganografi; informationsdöljning; hemlig kommunikation; effektiv kapacitet; beteendemässig;

    Sammanfattning : Background. Coverless steganography is a relatively unexplored area of steganography where the message is not embedded into a cover media. Instead the message is derived from one or several properties already existing in the carrier media. This renders steganalysis methods used for traditional steganography useless. LÄS MER

  4. 3. Comparing machine learning algorithms for detecting behavioural anomalies

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Fredrik Jansson; [2023]
    Nyckelord :Anomaly Detection; Machine Learning; Behavioural Anomalies;

    Sammanfattning : Background. Attempted intrusions at companies, either from an insider threat orotherwise, is increasing in frequency. Most commonly used is static analysis and filters to stop specific attacks. LÄS MER

  5. 4. A deep learning approach for drilling tool condition monitoring in Raiseboring

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Hedaya Alyousif; [2023]
    Nyckelord :drilling tool condition; deep learning; drilling signals; CNN; spectrogram; Raisboring;

    Sammanfattning : Drilling tool wear can significantly affect the performance of the drilling operation and add extra cost to it. Accurate detection of drilling tool condition is very important for enabling proactive maintenance, minimizing downtime, and optimizing drilling processes. LÄS MER

  7. 5. Quality enhancement of time-resolved computed tomography scans with cycleGAN

    Master-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

    Författare :Johannes Stubbe; [2023]
    Nyckelord :carbon fibers; carbon fibres; microfibers; tomography; deep learning; cycleGAN; time-resolved tomography; Physics and Astronomy;

    Sammanfattning : Time-resolved x-ray tomography enables us to dynamically and non-destructively study the interior of a specimen. The obtainable temporal resolution is limited by the x-ray flux and the desired spatial resolution. LÄS MER