Sökning: "Track Before Detect"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden Track Before Detect.

1. 1. Robust visual SLAM with compressed image data : A study of ORB-SLAM3 performance under extreme image compression

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

   Författare :Guangzhi Wang; [2023]
   Nyckelord :ORB-SLAM3; compression; image feature; localization accuracy; internal parameter; hybrid compressing; brightness enhancement; ORB-SLAM3; kompression; bildfunktion; lokaliseringsnoggrannhet; intern parameter; hybridkomprimering; ljusstyrkeförstärkning;

   Sammanfattning : Offloading SLAM to the edge/cloud is now becoming an attractive option to greatly decrease device energy usage. The new SLAM solution involves compressing image data on the device before transmission, allowing a further decrease in the network bandwidth when performing SLAM at the edge/cloud. LÄS MER

3. 2. Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Mika Persson; [2022]
   Nyckelord :Bayesian Statistics; Deep Learning; Frequency Estimation; Generative Adversarial Networks; Artificial Neural Networks; Statistical Modelling; Mathematics and Statistics;

   Sammanfattning : The Discrete Fourier Transform is the simplest way to obtain the spectrum of a discrete complex signal. This thesis concerns the case when the signal is known to contain a small (unknown) number of frequencies, not limited to the discrete Fourier frequencies, embedded in complex Gaussian noise. LÄS MER

4. 3. Simulation of a prototype of the LDMX hadronic calorimeter and analysis of test beam data

   Master-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

   Författare :Péter György; [2022]
   Nyckelord :LDMX; HCal; TS; prototype; Physics and Astronomy;

   Sammanfattning : The Light Dark Matter eXperiment (LDMX) is an upcoming experiment to test the existence of dark matter in the mass range of 1 MeV - 1 GeV. It does so by looking for missing momentum and energy in collisions of an electron beam and a tungsten target, which could potentially indicate the existence of dark matter. LÄS MER

5. 4. Improvement of the Rucio implementation for the LDCS platform and search for dark data

   Kandidat-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

   Författare :Piotr Yartsev; [2022]
   Nyckelord :Dark matter; rucio; digital infrastructure; Root; LDMX; LDCS; dark data; Python; CERN; particle physics; big data; Geant4; Light Dark Matter eXperiment; Lightweight Distributed Computing System; data storage; Physics and Astronomy;

   Sammanfattning : In this work we aim to implement a software package to detect and categorize dark data, data not accessible or not known by the user, generated in the simulations of the Light Dark Matter eXperiment (LDMX). This will involve studying current existing solutions for such problems, attempting to implement them for the Lightweight Distributed Computing System (LDCS), and developing our own Dark Data Search (DDS) toolkit to perform the detection and categorization of the dark data. LÄS MER

7. 5. Understanding Rt using two-particle correlations by simulating proton-proton collisions in a Monte-Carlo model

   Kandidat-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

   Författare :Johan Leygonie; [2021]
   Nyckelord :QGP; Quark-Gluon-Plasma; Rt; Particle Physics; Proton-proton Collisions; Pythia; Monte-Carlo Model; Bachelor s Thesis; Heavy-ion Collisions; ALICE; CERN; Relative Transverse Activity; Jets; Two-Particles Correlations; Quantum Physics; Physics and Astronomy;

   Sammanfattning : The observable Rt is investigated in the Monte Carlo Model Pythia in order to better understand results from experimental data obtained in the ALICE detector at CERN. The purpose is to reproduce the experiment in a simulation and use the features proposed by Pythia to dig into the unexpected outcomes. LÄS MER