Sökning: "convolutional code"

Visar resultat 1 - 5 av 43 uppsatser innehållade orden convolutional code.

  1. 1. Deep Neural Networks as SurrogateModels for Fuel Performance Codes

    Kandidat-uppsats, Uppsala universitet/Tillämpad kärnfysik

    Författare :Wenhan Zhou; [2023]
    Nyckelord :Transuranus; AI; Nuclear Fuel Rods;

    Sammanfattning : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. LÄS MER

  3. 2. Facial recognition techniques comparison for in-field applications : Database setup and environmental influence of the access control

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Gustav Norvik; [2022]
    Nyckelord :facial recognition; deep learning; machine learning; computer vision; image processing; artificial intelligence;

    Sammanfattning : A currently ongoing project at Stanley Security is to develop a facial recognition system as access control system to prevent theft of heavy vehicles for terrorist purposes. As of today, there are several providers of facial recognition techniques and the spectrum ranges from multi dollar licenses to easy access open source. LÄS MER

  4. 3. Polar Codes for Biometric Identification Systems

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

    Författare :Yicheng Bao; [2022]
    Nyckelord :Biometrics; Polar codes; Identification systems; Convolutional neural networks; Autoencoder; Privacy preservation; Biometri; Polära koder; Identifieringssystem; Konvolutionella neurala nätverk; Autoencoder; Sekretessskydd;

    Sammanfattning : Biometrics are widely used in identification systems, such as face, fingerprint, iris, etc. Polar code is the only code that can be strictly proved to achieve channel capacity, and it has been proved to be optimal for channel and source coding. LÄS MER

  5. 4. Faster than Nyquist Signaling with Spatial Coupling

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Haoran Liu; Lingwei Zhang; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The emergence of the Faster-Than-Nyquist signaling (FTN) technology has im- proved the tight spectrum resources by compressing the transmission interval between adjacent pulses. In a natural environment, data transmission via a wire- less medium and through multi-path, at a high data rate, the leakage of these paths among symbols can cause severe inter-symbol interference (ISI). LÄS MER

  7. 5. Quantum Error Correction Using Graph Neural Networks

    Master-uppsats, Göteborgs universitet / Institutionen för fysik

    Författare :Valdemar Bergentall; [2021-06-17]
    Nyckelord :Quantum error correction; surface code; graph neural networks;

    Sammanfattning : A graph neural network (GNN) is constructed and trained with a purpose of using it as a quantum error correction decoder for depolarized noise on the surface code. Since associating syndromes on the surface code with graphs instead of grid-like data seemed promising, a previous decoder based on the Markov Chain Monte Carlo method was used to generate data to create graphs. LÄS MER