Essays about: "Network Faults"

Showing result 1 - 5 of 77 essays containing the words Network Faults.

  1. 1. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ziyou Li; [2023]
    Keywords : Unsupervised Learning; Autoencoders; Image Clustering; Fault Detection and Diagnosis; Morphological Operations; Hardware-in-Loop; Advanced DriverAssistance System; Oövervakad inlärning; Autoencoders; Bildklustering; Felfindning och Diagnostik; Morfologiska Operationer; Hardware-in-Loop; Avancerade Förarassistanssystem;

    Abstract : This thesis aims to investigate a fault detection and diagnosis system for automotive cameras using unsupervised learning. 1) Can a front-looking wide-angle camera image dataset be created using Hardware-in-Loop (HIL) simulations? 2) Can an Adversarial Autoencoder (AAE) based unsupervised camera fault detection and diagnosis method be crafted for SPA2 Vehicle Control Unit (VCU) using an image dataset created using Hardware-inLoop? 3) Does using AAE surpass the performance of using Variational Autoencoder (VAE) for the unsupervised automotive camera fault diagnosis model? In the field of camera fault studies, automotive cameras stand out for its complex operational context, particularly in Advanced Driver-Assistance Systems (ADAS) applications. READ MORE

  3. 2. Using Simulation-Based Testing to Evaluate the Safety Impact of Network Disturbances for Remote Driving

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Shrishti Trivedi; [2023]
    Keywords : Remote Driving; Fault Injection; CARLA Driving Simulator; Network Faults; NETEM; Fjärrkörning; Felinjicering; CARLA Körsimulator; Nätverksfel; NETEM;

    Abstract : The transportation industry has been transforming because of rapid digitalization and autonomy. Because of this the demand for more connected and autonomous vehicles is increasing for both private individuals and businesses. Reducing human interaction emphasizes the need for higher road safety. READ MORE

  4. 3. Time synchronization error detection in a radio access network

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Moulika Madana; [2023]
    Keywords : GNSS - Global Navigation Satellite System; OAS - Over-the air-synchronization; PRTC - primary reference time clock; PTP - precision time protocol; Gauss Jordan elimination; GNN- Graph Neural Network; GNSS -Globalt navigationssatellitsystem; OAS - Över-the-air tidssynkronisering; PRTC - Primär referenstidklocka; PTP - Precisionstidprotokoll; Gauss Jordan eliminering; GNN- Graf neurala nätverk;

    Abstract : Time synchronization is a process of ensuring all the time difference between the clocks of network components(like base stations, boundary clocks, grandmasters, etc.) in the mobile network is zero or negligible. It is one of the important factors responsible for ensuring effective communication between two user-equipments in a mobile network. READ MORE

  5. 4. System impact of micro-production

    University essay from Lunds universitet/Industriell elektroteknik och automation

    Author : Annie Haraldsson; [2023]
    Keywords : Fault ride through; LVRT; micro-production; solar production; photovoltaics; fault simulation; network modeling; power system disturbances; PMU-registrations; fault analysis; Technology and Engineering;

    Abstract : The focus in this thesis has been active power from small scale solar production and what possible impacts an increased proportion of small scale production can have, in a larger context, during short circuit (SC) faults in the grid. The main research question prompting this work was whether active power from small scale solar pro- duction can help support voltages during SC faults, and meet LVRT-requirements in the RfG. READ MORE

  6. 5. Software Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Rémi Bourgerie; [2023]
    Keywords : 5G 4G; Federated Learning; Graoh Learning; Graph-based Federated Learning; Temporal Graph Neural Networks; Time Series; Anomaly Detection; Fault Detection; 5G 4G; Federerat lärande; Graf lärande; Grafbaserat federerat lärande; Temporal Graph Neural Networks; Tidsserier; Upptäckt av anomalier; Upptäckt av fel;

    Abstract : The increasing complexity of telecom networks, induced by the recent development of 5G, is a challenge for detecting faults in the telecom network. In addition to the structural complexity of telecommunication systems, data accessibility has become an issue both in terms of privacy and access cost. READ MORE