Sökning: "network acceleration"

Visar resultat 1 - 5 av 73 uppsatser innehållade orden network acceleration.

  1. 1. Heart rate estimation from wrist-PPG signals in activity by deep learning methods

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

    Författare :Marie-Ange Stefanos; [2023]
    Nyckelord :Deep Learning; Medical Data; Signal Processing; Heart Rate Estimation; Wrist Photoplethysmography; Djup lärning; Medicinska Data; Signalbehandling; Pulsuppskattning; Handledsfotopletysmograf;

    Sammanfattning : In the context of health improving, the measurement of vital parameters such as heart rate (HR) can provide solutions for health monitoring, prevention and screening for certain chronic diseases. Among the different technologies for HR measuring, photoplethysmography (PPG) technique embedded in smart watches is the most commonly used in the field of consumer electronics since it is comfortable and does not require any user intervention. LÄS MER

  3. 2. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

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

    Författare :Javier Ferre Martin; [2023]
    Nyckelord :Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

    Sammanfattning : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. LÄS MER

  4. 3. An Evaluation of Artificial Neural Networks as an alternative to Example-Based Crowd Simulation

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

    Författare :Malte Blomqvist; Morris Hansing; [2023]
    Nyckelord :;

    Sammanfattning : In the ever-developing field of crowd simulation several different algorithms have been proposed to enable data-driven simulations: methods using real-life data to generate realistic pedestrian movements. With different use-cases and trade-offs it is vital to understand the particulars of each approach. LÄS MER

  5. 4. High-Performance Network Data Transfers to GPU : A Study of Nvidia GPU Direct RDMA and GPUNetIO

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

    Författare :Yuchen Gao; [2023]
    Nyckelord :GPUDirect RDMA; GPUNetIO; User interface; GPUDirect RDMA; GPUNetIO; Användargränssnitt;

    Sammanfattning : This study investigates high-performance network data transfers, focusing on Nvidia Graphics Processing Unit (GPU) Direct Remote Direct Memory Access (RDMA) and GPUNetIO. These methods have emerged as promising strategies for improving data communication between GPUs and network interfaces, but harnessing their potential requires meticulous configuration and optimization. LÄS MER

  7. 5. Dynamic Analysis of Portal Frame Bridges for High-Speed Trains : A Parametric Study

    Master-uppsats, KTH/Bro- och stålbyggnad

    Författare :Antonio Dib; Ramayana Salgado; [2023]
    Nyckelord :;

    Sammanfattning : A high-speed railway network is important for Sweden’s development. However, anincreasing train speed brings new challenges in bridge design due to higher bridgeaccelerations. LÄS MER