Sökning: "4. Computer systems"

Visar resultat 1 - 5 av 96 uppsatser innehållade orden 4. Computer systems.

  1. 1. Implementing End-to-End MLOps for Enhanced Steel Production

    M1-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Marcus Westin; Jacob Berggren; [2024]
    Nyckelord :MLOps; Azure ML; Machine Learning; Computer Science; Microsoft Azure; MLOps; Azure ML; Maskininlärning; Datavetenskap; Microsoft Azure;

    Sammanfattning : Steel production companies must utilize new technologies and innovations to stay ahead of a highly competitive market. Recently, there has been a focus on Industry 4.0, which involves the digitalization of production to integrate with newer technologies such as cloud solutions and the Internet of Things (IoT). LÄS MER

  3. 2. 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

  4. 3. Emulation of Network Device Behaviour for Robot Controller Testing

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

    Författare :Muhamed Opacin; [2023]
    Nyckelord :emulation; software testing; robotics; industrial robots; computer networks; network protocols; i o devices; network traffic; network traffic replay;

    Sammanfattning : The testing of software for robot controllers has become increasingly difficult as robotic systems become more complex. As the complexity of the systems increases, the number of hardware systems that the robot relies on also grows. LÄS MER

  5. 4. Visualisation for Informed Decision-Making in Industry 4.0 : Affordances and limitations of incorporating contextual knowledge management and visualisation into a downtime management tool

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

    Författare :Kimberly Truc Quynh Nguyen; [2023]
    Nyckelord :Contextual Knowledge Management; Knowledge Visualisation; Human-Computer Interaction; Kontextuell kunskapshantering; Kunskapsvisualisering; Människa-Data Interaktion;

    Sammanfattning : The main objective of Industry 4.0 (I4.0) is to advance and ensure better manufacturing efficiency, productivity, and flexibility through the smart use of emergent technologies to enable the development of digital tools to visualise crucial information regarding factory events, products, and processes. LÄS MER

  7. 5. AI-assisted analysis of ICT-centre cooling : Using K-means clustering to identify cooling patterns in water-cooled ICT rooms

    Master-uppsats, Linköpings universitet/Energisystem

    Författare :Oliver Wallin; Johan Jigsved; [2023]
    Nyckelord :AI; K-means; clustering; ICT-centre; data centre; data center; ICT-center; cooling; data center cooling;

    Sammanfattning : Information and communications technology (ICT) is an important part in today’s society and around 60% of the world's population are connected to the internet. Processing and storing ICT data corresponds to approximately 1% of the global electricity demand. LÄS MER