Sökning: "Processor"

Visar resultat 11 - 15 av 696 uppsatser innehållade ordet Processor.

  1. 11. Application development of 3D LiDAR sensor for display computers

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Oskar Ekstrand; [2023]
    Nyckelord :LiDAR; 3D sensor; display computer; application; high-resolution 3D map; visualize real time data; CPU load; Voxel grid filter; Point Cloud Library; Qt QML; C ; Linux; LiDAR; 3D sensor; fordons dator; applikation; högupplöst 3D-karta; visualisera realtidsdata; processorlast; Voxel grid filter; Point Cloud Library; Qt QML; C ; Linux;

    Sammanfattning : A highly accurate sensor for measuring distances, used for creating high-resolution 3D maps of the environment, utilize “Light Detection And Ranging” (LiDAR) technology. This degree project aims to investigate the implementation of 3D LiDAR sensors into off-highway vehicle display computers, called CCpilots. LÄS MER

  3. 12. P-cores and E-cores in virtual machines

    Uppsats för yrkesexamina på grundnivå, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Philip Andersson; [2023]
    Nyckelord :;

    Sammanfattning : In 2021, Intel released a new generation of consumer processors that had two different types of cores; they called them the efficiency-cores and the performance-cores, or for short, the E-cores and the P-cores. The release of these processors sparked interest in the potential impact if they were introduced into the enterprise market. LÄS MER

  4. 13. Anomaly detection in surveillance camera data

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Viktoriia Semerenska; [2023]
    Nyckelord :Anomaly detection; Machine Learning; Supervised learning; Video Analytics; Artificial Intelligence;

    Sammanfattning : The importance of detecting anomalies in surveillance camera data cannot be overemphasized. With the increasing availability of surveillance cameras in public and private locations, the need for reliable and effective methods to detect anomalous behavior has become critical to public safety. LÄS MER

  5. 14. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

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

    Författare :Cina Arjmand; [2023]
    Nyckelord :Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Sammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER

  7. 15. Optimizing Energy Consumption in a Real-Time System Using Artificial Intelligence

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Caroline Lisa Pereira; [2023]
    Nyckelord :;

    Sammanfattning : In energy-efficient real-time embedded system design, the objective is to reduce energy consumption while meeting the tasks' timing requirements. Real-time Dynamic Voltage and Frequency Scaling (DVFS) methods aim at achieving this by scaling the frequency at which a single processor or multiple processors in the system operate, but they often assume that the tasks' deadlines are known and their arrival times are regular. LÄS MER