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Visar resultat 1 - 5 av 6 uppsatser som matchar ovanstående sökkriterier.

  1. 1. CFD Analysis of the Flow Into a Preheater

    Master-uppsats, KTH/Teknisk mekanik

    Författare :Eric Axtelius; [2022]
    Nyckelord :Mechanics; Fluid Mechanics; CFD; Preheater; Moisture Separator; Nuclear; Steam; Heat Transfer;

    Sammanfattning : This project has investigated and formed a basis for the thermal- and flow-induceddynamic loads in the lower parts of a preheater situated in a nuclear power plant.Special attention has been given to the bottom plate that separates the heated andnon-heated secondary steam. LÄS MER

  2. 2. Implementation of Spectrum Analysis Functionality for IQ-Signal.

    Master-uppsats, Högskolan i Gävle/Avdelningen för elektroteknik, matematik och naturvetenskap

    Författare :Gedion Biredaw Anbessa; [2020]
    Nyckelord :RF Measurement Techniques; Spectrum Analyzer; Synthetic Spectrum Analysis; Synthetic Instrument; Signal Processing; Vector Signal Analyzer; IQ-signal;

    Sammanfattning : The spectrum analyzer is a standard tool used to measure signals in the frequency domain. Traditional spectrum analyzers are based on sweeping a local oscillator and using this to mix signals down to an intermediate frequency (IF) and, subsequently filter them with a filter of settable characteristics, called the Resolution Bandwidth (RBW). LÄS MER

  3. 3. Optimizing Bike Sharing System Flows using Graph Mining, Convolutional and Recurrent Neural Networks

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

    Författare :Davor Ljubenkov; [2019]
    Nyckelord :Data Science; Data Visualization; Bike-Sharing Systems; Graph Mining; Time Series Prediction; Machine Learning; Deep Learning; Recurrent Neural networks; Convolutional Neural Networks; Shareable Cities; Urban Informatics;

    Sammanfattning : A Bicycle-sharing system (BSS) is a popular service scheme deployed in cities of different sizes around the world. Although docked bike systems are its most popular model used, it still experiences a number of weaknesses that could be optimized by investigating bike sharing network properties and evolution of obtained patterns. LÄS MER

  4. 4. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Albin Vestin; Gustav Strandberg; [2019]
    Nyckelord :evaluation; target tracking; multiple sensors; non-causal; smoother; smoothing; tracking; vehicle tracking; camera; lidar; estimate; estimation; prediction; vehicle dynamics; sensor fusion; real-time tracking; extended kalman filter; filter validation; validation; position estimation; velocity estimation; dynamic model; model complexity; multi object tracking; multiple object; tracking; single object tracking; data association; tracking fundamentals; iterated kalman filter; track management; gnn; global nearest neighbour; mahalanobis; mahalanobis distance; performance evaluation; differential gps; dgps; roi; ego; several sensors; sensors; rmse; root mean square error; invertible motion; anti-causal motion; anti-causal tracking; constant velocity; gnn; imu; tfs; two filter smoother; ekf; rts; radar; inertial measurement unit; nonlinear; nonlinear systems; mono camera; monocular camera; noise model; tracking performance; fixed interval smoothing; m n logic; centralized fusion; non-causal object tracker; car tracking; car dynamics; automotive; active safety; object tracking; automotive industry; thesis; master; reverse dynamics; reverse tracking; reverse sequence; sequence tracking; data propagation; ground truth; estimating ground truth; additional sensors; mounted sensors; true estimates; environment; comparison; algorithm; independent targets; overlapping; measurements; occluded; track switch; improve; lower; uncertainty; more; certain; state; process; noise; covariance; sampling; image; sprt; adas; cnn; cv; pdf; track; target; ego; tracker; tentative track; observatiom; online tracking; offline tracking; online; offline; recorded; sequences; robust; self driving; self-driving; car; traffic; trajectory; true state; scenario; scenarios; future; accurate; output; advanced; driver; assistance; systems; non-linear; complex noise; pedestrian; truck; bus; maneuvering; vehicles; processed; measurement; frame; state; correction; probability; density; function; tuning; likelihood; transition; measurement; motion; model; recursion; gaussian; approximation; distribution; linear; jacobian; multiplicative; noise; ratio; ad; hoc; ad hoc; state; space; approach; backward; auction; euclidean; distance; statistical; threshold; gating; association; margin; normalize; covariance; matrix; fusion; confirmed; rejected; tentative; history; absolute; error; modular; ego motion; parameters; variables; logg; hardware; specification; fused; causal; factorization; independent; uncorrelated; transform; moving; rotation; translation; oncoming; overtaking;

    Sammanfattning : Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking nearby traffic objects plays an important role. LÄS MER

  5. 5. Implications of a dynamic vertical root distribution for modelled water and carbon fluxes across selected ecosystems : incorporating a novel rooting scheme into LPJ-GUESS

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Lasse Keetz; [2019]
    Nyckelord :Physical Geography and Ecosystem Analysis; Ecosystem Modelling; LPJ-GUESS; Vertical Root Distribution; Dynamic Root Distribution; Carbon and Water Fluxes; Earth and Environmental Sciences;

    Sammanfattning : Roots play a key role in terrestrial carbon and water cycles, and therefore for the global climate system. They mediate plant evapotranspiration, influence photosynthetic processes and are responsible for atmospheric carbon transport into the pedosphere. Fine roots, in particular, are chiefly regulating water and nutrient uptake. LÄS MER