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Searching Historic Data For Model Identification
(Master thesis, 2012)The focus of this thesis is obtaining useful segments of historic data from normal operation due to, for instance, economical and safety concerns of performing experiments on a plant. This will be done by development, and ... -
Secure and Efficient Transmission of Vision-Based Feedback Control Signals
(Peer reviewed; Journal article, 2021)An ever-increasing number of autonomous vehicles use bandwidth-greedy sensors such as cameras and LiDARs to sense and act to the world around us. Unfortunately, signal transmission in vehicles is vulnerable to passive and ... -
Secure User Privacy in Population Physique Clustering and Prediction based on Sport Questionnaires
(Journal article; Peer reviewed, 2020)Population physique is one of the key aspects for measuring and evaluating the healthy degree or living level of the population of a nation. Many population physique evaluation models or tools have been developed in the ... -
Securing trust in AI systems through increased explainability: linking Norwegian organizations' challenges in regards to eXplainable Artificial Intelligence (XAI) with a 2021 view on relevant techniques and methods
(Master thesis, 2021)Denne masteroppgaven tar utgangspunkt i innsikt tilegnet gjennom intervjuer med norske organisasjoner om deres utfordringer innen eXplainable Artificial Intelligence (XAI), originalt presentert i et spesialiseringsprosjekt ... -
Security Analysis of the Terrestrial Trunked Radio (TETRA) Authentication Protocol
(Journal article; Peer reviewed, 2013)We present a security analysis of the widely-deployed Terrestrial Trunked Radio (TETRA) authentication protocol, where we find that the TETRA authentication protocol suffers from flaws that allow an attacker to defeat basic ... -
Security and Independence of Process Safety and Control Systems in the Petroleum Industry
(Peer reviewed; Journal article, 2022)The developments of reduced manning on offshore facilities and increased information transfer from offshore to land continue and may also be a prerequisite for the future survival of the oil and gas industry. A general ... -
Segmentation and pose estimation of objects in RGB-D data using deep learning
(Master thesis, 2019)Maskinsyn er en stadig viktigere del av moderne industri og . Den overordnede maskinvisjonsprosessen bestar av bildetakning, analyse av bilder og informasjonshenting. Dype ˚ læringsteknikker, spesielt konvolusjonelle nevrale ... -
Segmentation of Right Ventricle in 3D Ultrasound Recordings
(Master thesis, 2008)This thesis presents segmentation of the right ventricle of the heart in real-time tracking of 3D ultrasound recordings. A simple deformable model for the right ventricle is developed based on statistical data from manual ... -
Selective inspection of ship ballast/cargo tanks by identifying inspection-important geometries
(Master thesis, 2023)Nye teknologiske framskritt for autonome droner har skapt mange muligheter og flere nye løsninger. En av disse er for strukturell inspeksjon av ballasttanker og lastetanker i skip. Slike inspeksjoner blir i dag utført med ... -
Self-Calibration of Stereo Vision for Autonomous Ferry
(Master thesis, 2021)Denne rapporten ser på muligheten til å implementere en selvkalibrerende algoritme for et stereo vision system som skal tas i bruk på en autonom ferje. Målet med algoritmen er å erstatte tradisjonelle offline kalibereringsmetoder, ... -
Self-Organizing Maps for Fusion of Spectral Images
(Master thesis, 2023)Denne oppgaven utforsker en ny anvendelse av selvorganiserende kart (SOM) for multimodal bildefusjon i fjernmåling. Forskningen bygger på arbeidet til HYPSO-satellittprosjektet og SeaBee-prosjektet, som begge tar sikte på ... -
Self-synchronisation of wind farm in MMC-based HVDC system
(Chapter, 2016)The stability of an offshore wind power network connected through a high voltage dc (HVDC) transmission line is a critical problem since there is no direct connection to a strong ac collection (ACC) bus. Field experience ... -
Semantic Dataset Generation and Detection For Industrial Environments
(Master thesis, 2022)Punktskyinnhenting og semantisk segmentering er et viktig verktøy i digitaltalis- eringen av industrianlegg, men mye av dette arbeidet forblir idag manuelt. I samarbeid med Cognite, som leverer Cognite Data Fusion (CDF) ... -
Semantic Segmentation of Radar Data with Deep Learning
(Master thesis, 2018)Autonomous ships have the potential to redefine the maritime industry, providing substantial improvements in safety, economics and fuel efficiency, while creating new previously unimagined services. Radar is a key part of ... -
Semantic SLAM for Dynamic Environments
(Master thesis, 2022)For ti år siden var det høye forventninger til bruk av mobile roboter i kommersiell og industriell virksomhet. Imidertidig, vil mange si at antallet mobile roboter i bruk i virksomhet er skuffende. Vi tror en av hovedårsakene ... -
Semantically-enhanced Deep Collision Prediction for Autonomous Navigation using Aerial Robots
(Peer reviewed; Journal article, 2023)This paper contributes a novel and modularized learning-based method for aerial robots navigating cluttered environments containing hard-to-perceive thin obstacles without assuming access to a map or the full pose estimation ... -
Semantics-aware Exploration and Inspection Path Planning
(Chapter, 2023)This paper contributes a novel strategy for semantics-aware autonomous exploration and inspection path planning. Attuned to the fact that environments that need to be explored often involve a sparse set of semantic entities ... -
Semantics-aware Exploration and Inspection Path Planning
(Peer reviewed; Journal article, 2023)This paper contributes a novel strategy for semantics-aware autonomous exploration and inspection path planning. Attuned to the fact that environments that need to be explored often involve a sparse set of semantic entities ... -
Semi-Supervised Learning for Spasm Detection in Children with Cerebral Palsy
(Master thesis, 2023)Barn med cerebral parese (CP) står ofte overfor utfordringer knyttet til bevegelse og kommunikasjon. MoveMe har som mål å tilby et verktøy som motiverer bevegelse hos disse barna ved å bruke sensorer som er i stand til å ... -
Semi-supervised learning for well flow modelling
(Master thesis, 2021)