Sökning: "realtid"

Visar resultat 16 - 20 av 821 uppsatser innehållade ordet realtid.

  1. 16. aiLangu - Real-time Transcription and Translation to Reduce Language Barriers : An Engineering Project to Develop an Application for Enhancing Human Verbal Communication

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

    Författare :Vincent Ringström1; Iley Alvarez Funcke; [2023]
    Nyckelord :Sound transcription; Sound translation; AI; Deep learning; Real-time; Language barrier; Concurrency; Ljud transkription; Ljud översättning; AI; Djupinlärning; Real-tid; Språkbarriär; Samtidighet;

    Sammanfattning : The research area this report relates to is real-time automatic transcription and translation. The purpose of the work done for the report is to reduce the perceived language barriers online and to make a user-friendly application to make use of the latest deep learning technology to transcribe and translate in real-time. LÄS MER

  3. 17. Real-time Autofocus Algorithm in Laser Speckle Contrast Imaging

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Giovanni Russo; [2023]
    Nyckelord :Laser speckle contrast imaging; Autofocus; Blind image sharpness assessment; Speckle noise; Perimed’s Perfusion Speckle Imager;

    Sammanfattning : Microcirculation is defined as the blood flow in the smallest blood vessels. Laser speckle contrast imaging (LSCI) is a full field imaging technique that provides instantaneous 2-D perfusion maps of illuminated tissues based on speckle contrast. LÄS MER

  4. 18. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

    Master-uppsats, KTH/Mekatronik och inbyggda styrsystem

    Författare :Helgi Hrafn Björnsson; Jón Kaldal; [2023]
    Nyckelord :Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

    Sammanfattning : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. LÄS MER

  5. 19. Near-Real Time Forest Fire Monitoring System From an UAV

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

    Författare :August Näsman; Daniel Nedlich; [2023]
    Nyckelord :;

    Sammanfattning : The purpose of this thesis is to implement a payload system on a drone to help fire towers in near-realtime survey forests for wildfires. The payload system should be able to communicate with a groundstation through a mobile network and the survey should be tagged with relevant metadata. LÄS MER

  7. 20. Filtering Pressure Oscillations in a Common Rail Pressure Signal with IIR Notch Filters for Injected Fuel Amount Estimation

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Marcus Akkila; Denis Ramsden; [2023]
    Nyckelord :DSP; Water hammer effect; IIR; Common-rail; Injected fuel amount estimation; Notch filter; Water hammer effect; IIR; Digital signalbehandling; Injektionsmängd; Common-rail; bandstoppfilter;

    Sammanfattning : This project concerns an inline six-cylinder (I6) diesel truck engine equipped with common-rail injection system. It has been done at the Swedish truck manufacturer Scania CV AB. The main focus is digital signal processing of the rail pressure sensor signal from the injection system. LÄS MER