Sökning: "limited data rate"

Visar resultat 21 - 25 av 432 avhandlingar innehållade orden limited data rate.

  1. 21. Physics-Informed Neural Networks and Machine Learning Algorithms for Sustainability Advancements in Power Systems Components

    Författare :Federica Bragone; Stefano Markidis; Kateryna Morozovska; Tor Laneryd; Michele Luvisotto; Matthias Ehrhardt; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Physics-Informed Neural Networks; Machine Learning; Data-Driven Methods; Circular Economy; Power Systems Components; Sustainability; Cellulose Nanofibrils; Fysikinformerade Neurala Nätverk; Maskininlärning; Datadrivna Metoder; Cirkulär Ekonomi; Kraftsystemets Komponenter; Hållbarhet; Cellulosananofibriller; Datalogi; Computer Science;

    Sammanfattning : A power system consists of several critical components necessary for providing electricity from the producers to the consumers. Monitoring the lifetime of power system components becomes vital since they are subjected to electrical currents and high temperatures, which affect their ageing. LÄS MER

  3. 22. Semipermeable membrane devices as integrative tools for monitoring nonpolar aromatic compounds in air

    Författare :Hanna Söderström; Mats Tysklind; Per-Anders Bergqvist; Jochen F. Muller; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Environmental chemistry; air pollution; alkyl-PAHs; atmosphere; bioavailability; boundary layer; diffusive sampling; emissions; integrative; membrane; monitoring; nitro-PAHs; PAHs; particles; passive samplers; PCBs; plants; PRCs; release rate; sampler design; sources; SPMDs; traffic; uptake rate; wind effect; wood burning; Miljökemi; Environmental chemistry; Miljökemi;

    Sammanfattning : Air pollutants pose a high risk for humans, and the environment, and this pollution is one of the major environmental problems facing modern society. Active air sampling is the technique that has been traditionally used to monitor nonpolar aromatic air pollutants. LÄS MER

  4. 23. Signal Modeling and Data Reduction for Wireless Brain-Machine Interfaces

    Författare :Palmi Thor Thorbergsson; Institutionen för elektro- och informationsteknik; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Extracellular neural recordings; wireless brain-machine interfaces; signal modeling; data reduction; compression;

    Sammanfattning : Brain-machine interfaces (BMIs) provide a uni- or bidirectional communication link between the central nervous system and the outside world. This link facilitates the studying of neuronal mechanisms underlying behavior as well as the treatment of neurological disease. LÄS MER

  5. 24. Essays on Shocks, Welfare, and Poverty Dynamics: Microeconometric Evidence from Ethiopia

    Författare :Yonas Alem; Göteborgs universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; urban Ethiopia; poverty dynamics; dynamic probit; hazard rate; labor market status; subjective well-being; policymakers; life satisfaction; environment; Ethiopia; food price; consumer demand; fertilizer use; rainfall; highlands of Ethiopia; panel data; consumption; welfare; food price shock; Africa;

    Sammanfattning : Five self-contained papers constitute this thesis. Paper 1: Does fertilizer use respond to rainfall variability? Panel data evidence from urban Ethiopia In this article, we use farmers’ actual experiences with changes in rainfall levels and their responses to these changes to assess whether patterns of fertilizer use are responsive to changes in rainfall patterns. LÄS MER

  7. 25. Embedded high-resolution stereo-vision of high frame-rate and low latency through FPGA-acceleration

    Författare :Carl Ahlberg; Mikael Ekström; Ignacio Bravo Munoz; Mälardalens högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer vision; stereo vision; FPGA; embedded systems; Computer Science; datavetenskap;

    Sammanfattning : Autonomous agents rely on information from the surrounding environment to act upon. In the array of sensors available, the image sensor is perhaps the most versatile, allowing for detection of colour, size, shape, and depth. For the latter, in a dynamic environment, assuming no a priori knowledge, stereo vision is a commonly adopted technique. LÄS MER