Avancerad sökning

Visar resultat 1 - 5 av 209 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Real-Time System Benchmarking with Embedded Linux and RT Linux on a Multi-Core Hardware Platform

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Kian Hosseini; [2024]
    Nyckelord :Real-time; Embedded systems; Benchmarking; Multicore;

    Sammanfattning : To catch up with the growing trend of parallelism, this thesis work focuses on the adaption of embedded real-time systems to a multicore platform. We use the embedded system of Xilinx ZCU-102, a multicore board, as an example of an embedded system without getting deep into its architecture. LÄS MER

  3. 2. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Författare :Xinchen Wang; [2024]
    Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER

  4. 3. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :John Moberg; Jonathan Widén; [2023]
    Nyckelord :Computer Vision; Anomaly Detection; Single Board Computer; Embedded systems;

    Sammanfattning : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. LÄS MER

  5. 4. DISTRIBUTED ARTIFICIAL INTELLIGENCE FOR ANOMALY DETECTION IN A MODULAR MANUFACTURING ENVIRONMENT

    Magister-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Hana Hodzic; [2023]
    Nyckelord :;

    Sammanfattning : This thesis investigates anomaly detection and classification in a simulated modular manufacturingenvironment using Machine Learning algorithm Random Forest. This algorithm is tested on a localcomputer and an embedded device, specifically the Raspberry PI. LÄS MER

  7. 5. Web interface for a multi-purpose transmitter

    Kandidat-uppsats,

    Författare :Elin Cederlöf; Maximilian Mattsson; [2023]
    Nyckelord :Web interface; programming; JavaScript; CSS; HTML; Azure; RTOS;

    Sammanfattning : The project described in this report aims to construct a web interface for a multi-purpose transmitter (MPT). The MPT is a submodule that is meant to be used in future chromatography systems. This bachelor thesis project is done at Cytiva in Uppsala. LÄS MER