Sökning: "Automatisk modellering"

Visar resultat 1 - 5 av 26 uppsatser innehållade orden Automatisk modellering.

  1. 1. Exploring the Feasibility of Exercise Detection on the Exxentric kBox Platform

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Mahyar Mehr; [2023]
    Nyckelord :Machine learning; Flywheel training; Exercise detection; Signal processing; Exxentric kBox platform; Automatic exercise classification; Feature engineering; Maskininlärning; Träning med svänghjul; Upptäckt av träning; Signalbehandling; Exxentric kBox-plattformen; Automatisk träningklassificering; Funktionsutveckling;

    Sammanfattning : Flywheel training is an increasingly popular training method that aids in the recovery process and promotes strength development while reducing the risk of re-injury. Additionally, automatic exercise classification offers athletes the convenience of effortlessly monitoring and tracking their training progress, enabling them to maintain consistency and achieve their fitness goals effectively. LÄS MER

  3. 2. A Deep Learning Based Approach to Object Recognition from LiDAR Data Along Swedish Railroads

    Master-uppsats, KTH/Fastigheter och byggande

    Författare :Egil Morast; [2022]
    Nyckelord :Deep learning; DGCNN; LiDAR; Object recognition; Railroad; Automatisation; Sweden; Point cloud; Djupinlärning; DGCNN; LiDAR; Objektigenkänning; Järnväg; Automatisering; Sverige; Punktmoln;

    Sammanfattning : Malfunction in the overhead contact line system is a common cause of disturbances in the train traffic in Sweden. Due to the preventive methods being inefficient, the Swedish Transport Administration has stated the need to develop the railroad maintenance services and has identified Artificial Intelligence (AI) as an important tool for this undertaking. LÄS MER

  4. 3. Automatic Point Cloud Modelling for BIM in AEC Sector

    Master-uppsats, KTH/Geodesi och satellitpositionering

    Författare :Mohamed Salih Abaker Ishag; [2022]
    Nyckelord :Point cloud; Laser scanning; BIM; Automatic modeling; Clash analysis; Punktmoln; Laserskanning; BIM; Automatisk modellering; Krockanalys;

    Sammanfattning : In this research, automatic point cloud modeling strategies have been tested to find the best strategies to model walls, floors and ceilings classes in terms of processing time and accuracy. The modeling was applied on a point cloud data related to the Architecture, Engineering, and Construction field which is a point cloud of a building collected by Sweco company in Sweden. LÄS MER

  5. 4. Modelling and Run-Time Control of Localization System for Resource-Constrained Devices

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

    Författare :Albin Mosskull; [2022]
    Nyckelord :Cross-layer optimization; Resource-constrained devices; Automatic hyperparameter tuning; Runtime control; Visual-inertial localization; Korsskiktsoptimering; Resursbegränsade enheter; Automatisk hyperparameterreglering; Körtidsreglering; Visuell-tröghets lokalisering;

    Sammanfattning : As resource-constrained autonomous vehicles are used for more and more applications, their ability to achieve the lowest possible localization error without expending more power than needed is crucial. Despite this, the parameter settings of the localization systems, both for the platform and the application, are often set arbitrarily. LÄS MER

  7. 5. Data-driven Dynamic Baseline Calibration Method for Gas Sensors

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

    Författare :Cheng Yang; [2021]
    Nyckelord :CO2 gas sensing; drift; dynamic baseline calibration; time series analysis; data-driven modeling; clustering; classification; CO2 gasavkänning; drift; dynamisk baslinjekalibrering; tidsserieanalys; datadriven modellering; kluster; klassificering;

    Sammanfattning : Automatic Baseline Correction is the state-of-the-art calibration method of non-dispersive infrared CO2 sensing, which is the standard CO2 gas monitoring method. In this thesis, we improve it by introducing the dynamic baseline based on environmental data. LÄS MER