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  1. 1. Deep Reinforcement Learning in Games Based on Extracted Features

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

    Author : Emilia Sjögren; Erika Weidenhaijn; [2023]
    Keywords : ;

    Abstract : FlappyBird is a popular mobile game that captured many people's attention because itwas easy to understand but difficult to perform --- players were often right on the edge ofsucceeding, which led to a strong desire to play again. The purpose of this project is to investigatethe possibility of using a neural network trained with reinforcement learning to play the game usingextracted features rather than raw images. READ MORE

  3. 2. Evaluation of FMCW Radar Jamming Sensitivity

    University essay from Uppsala universitet/Signaler och system

    Author : Ludvig Snihs; [2023]
    Keywords : FMCW; FMCW radar; radar; frequency-modulated radar; noise jamming; frequency-modulated continuous wave radar; FMCW Jamming; Jamming; Pulse Train; Pulse Jamming; Spoofing Attack; Spoofing; Deception; Repeater Jamming; Repeater; Automotive Radar; CFAR; sensor jamming; constant false alarm rate; electronic warfare; EW; FMCW; FMCW radar; frekvensmodulerad dopplerradar; dopplerradar; radar; brusstörning; radarstörning; pulsstörning; pulståg; falskmål; vilseledning; repeterstörning; bilradar; sensorstörning; CFAR;

    Abstract : In this work, the interference sensitivity of an FMCW radar has been evaluated by studying the impact on a simulated detection chain. A commercially available FMCW radar was first characterized and its properties then laid the foundation for a simulation model implemented in Matlab. READ MORE

  4. 3. Vibroacoustic Analysis of an OLTC Diverter Switch for Condition Monitoring : Time frequency analysis with Fourier and wavelet transform in combination with multivariate logistic regression for condition monitoring of OLTC diverter switch

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Simon Persson; [2023]
    Keywords : Wavelet transform; CWT; logistic regression; machine learning; ML; vibroacoustic analysis; time frequency analysis; tap changer; diverter switch; power transformer; classification; prediction; condition; vibrations; state prediction; Hitachi Energy;

    Abstract : Vibrations are everywhere around us all the time and we often recognise them as sounds that we can hear and analyse with our brain. In this thesis, data that has been gathered from a diverter switch (DS) in a controlled environment, is analysed. READ MORE

  5. 4. Mobile Traffic Classification and Multi-Cell Base Station Control for Energy-Efficient 5G Networks

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

    Author : Cai Tianzhang; [2023]
    Keywords : ;

    Abstract : The global energy consumption of mobile networks is rapidly increasing due to the exponential growth of mobile network traffic. The advent of next-generation cellular technologies such as fifth-generation (5G) and beyond promises higher network throughput and lower latency but also demands higher power consumption for its denser base station (BS) deployment and more energy-intensive processors. READ MORE

  6. 5. Rotor temperature estimation in Induction Motors with Supervised Machine Learning

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

    Author : Christopher Gauffin; [2023]
    Keywords : Induction motors; Supervised Machine learning; Power converters; Parameter estimation; Embedded systems; Induktionsmotorer; Övervakad maskininlärning; Strömkonverterare; Parameterestimering; Inbyggda system;

    Abstract : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. READ MORE