Blar i NTNU Open på tittel
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Robust and Reconfigurable On-Board Processing for a Hyperspectral Imaging Small Satellite
(Peer reviewed; Journal article, 2023)Hyperspectral imaging is a powerful remote sensing technology, but its use in space is limited by the large volume of data it produces, which leads to a downlink bottleneck. Therefore, most payloads to date have been ... -
A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses
(Chapter, 2023)Accurate day-ahead nominations of grid losses in electrical distribution networks are important to reduce the societal cost of these losses. We present a modification of the CatBoost ensemble-based system for day-ahead ... -
Robust and secure UAV navigation using GNSS, phased-array radio system and inertial sensor fusion
(Journal article; Peer reviewed, 2018)Positioning using global navigation satellite systems (GNSS) has for several years been the de facto method for long-range navigation of ground, marine and aerial vehicles. With global coverage, high accuracy, and lightweight ... -
Robust Anomaly Detection Using Reflectance Transformation Imaging for Surface Quality Inspection
(Chapter, 2017)We propose a novel methodology for the detection and analysis of visual anomalies on challenging surfaces (metallic). The method is based on a local assessment of the reflectance across the inspected surface, using Reflectance ... -
Robust attitude and heading estimation of submerged steering device
(Master thesis, 2015)The accuracy of seismic surveys are vital in order obtain accurate and good analysis of the gathered data. This can be done using seismic cable control, where underwater steering devices guides and stabilizes the cables. ... -
Robust Autonomous Docking for Passenger Ferries
(Master thesis, 2022)Abstract will be available on 2025-06-06 -
Robust bacterial co-occurence community structures are independent of r- and K-selection history.
(Peer reviewed; Journal article, 2021)Selection for bacteria which are K-strategists instead of r-strategists has been shown to improve fish health and survival in aquaculture. We considered an experiment where microcosms were inoculated with natural seawater ... -
Robust Biometric Verification Based On The Eye Region - Algorithms for Visible Spectrum Image Data
(Doctoral theses at NTNU;312, Doctoral thesis, 2016)Popular mobile banking and e-commerce applications like Google Wallet, Apple Pay and Alipay have resulted in using personal devices like smartphones for secure access of services via biometric data captured from embedded ... -
Robust Biometrics on Smartphones – Using Quality Assessment, Presentation Attack Detection, and Biometric Fusion
(Doctoral theses at NTNU;2019:131, Doctoral thesis, 2019)With the technological advancements in mobile technology, there is a massive adoption of biometrics as a security measure in today1s smartphones. Smartphones are used in all day to day activities such as online banking, ... -
Robust Cardiovascular Models for Prediction of Hypertension Using Minimal Data Sets
(Doctoral theses at NTNU;2023:225, Doctoral thesis, 2023)Cardiovascular disease is the leading cause of death worldwide. Such diseases are multifaceted, but can manifest as acute events such as cardiac infactions, strokes and aortic dissections which can lead directly to death ... -
Robust circle reconstruction with the Riemann fit
(Journal article; Peer reviewed, 2018)Finding and fitting circles from a set of points is a frequent problem in the data analysis of high-energy physics experiments. In a tracker immersed in a homogeneous magnetic field, tracks are close to perfect circles if ... -
A Robust Circuit and Controller ParametersIdentification Method of Grid-Connected VoltageSource Converters Using Vector Fitting Algorithm
(Peer reviewed; Journal article, 2021)This article presents a vector fitting (VF) algorithmbased robust circuit and controller parameters identification method for grid-connected voltage source converters (VSCs). The dq-domain impedance frequency responses ... -
Robust Classification Approaches to Industrial Sorting of Herring Fractions
(Master thesis, 2015)Among the rest raw material produced during the filleting process of herring there are high value products such as roe and milt. As of today there has been little or no major effort to process these by-products at an ... -
Robust Control for Articulated Intervention AUVs in the Operational Space
(Master thesis, 2019)Denne avhandlingen undersøker robuste kontrollmetoder innenfor «operational space» formuleringen. Metodene er brukt på et artikulert intervensjons undervannskjøretøy (AIAUV) som krever robust kontroll for å motvirke ... -
Robust Control of Articulated Intervention-AUVs Using Sliding Mode Control
(Doctoral theses at NTNU;2020:345, Doctoral thesis, 2020)This thesis is concerned with the theoretical development of trajectory tracking control for an articulated intervention autonomous underwater vehicle (AUV) in 6DOF while using no or as little model knowledge as possible ... -
Robust Control of Nonlinear Wind Energy Conversion Systems: A scalable and adaptive energy-based approach for cascaded interconnections
(Master thesis, 2023)Denne masteroppgaven har som mål å utlede et stabilitetssertifikat for et konverteringssystem bestående av en vindturbin (WT) koblet til en permanentmagnet-synkron generator (PMSG), etterfulgt av en fullskala to-nivå ... -
Robust control of ROV/AUVs
(Master thesis, 2007)In this project a robust adaptive controller has been developed for Minerva, NTNU's research ROV. The controller was tested in simulation using Matlab/Simulink with a mathematical model of the vessel. It was also tested ... -
Robust control solutions for stabilizing flow from the reservoir: S-Riser experiments
(Master thesis, 2013)One of the best suggested solutions for prevention of severe-slugging flow conditions at offshore oilfields is the active control of the production choke valve. This thesis is a study of robust control solutions for ... -
Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species
(Journal article; Peer reviewed, 2021)Deep convolutional neural networks have proven effective in computer vision, especially in the task of image classification. Nevertheless, the success is limited to supervised learning approaches, requiring extensive amounts ... -
Robust Distance Estimation of Remotely-Operating Underwater Drones for Monitoring Applications
(Master thesis, 2020)Denne oppgaven introduserer bruken av maskinlæring-algoritmer, mer presist «deep learning», for å lage en algoritme som på en robust måte estimerer distansen til «Remotely Operating Vehicles (ROV)». Dette er i forhold til ...