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HYPSO-1 CubeSat: First Images and In-Orbit Characterization
(Peer reviewed; Journal article, 2023)The HYPSO-1 satellite, a 6U CubeSat carrying a hyperspectral imager, was launched on 13 January 2022, with the Goal of imaging ocean color in support of marine research. This article describes the development and current ... -
HYPSO-1 Lunar Observations: Automated Hyperspectral Imaging: A Study on Lunar Observations and Sensor Calibration
(Master thesis, 2023)Betydningen av nøyaktig hyperspektral bildebehandling i fjernmåling har ført til behovet for forbedrede kalibreringsteknikker. Denne avhandlingen undersøker automatisering av måneobservasjoner som en metode for kalibrering ... -
A Hysteresis ON-OFF Control Method of Inductive Power Transfer Systems with Low Output Ripples and Fast Transient Responses
(Chapter, 2022)This paper proposes a hysteresis ON-OFF control method for inductive power transfer (IPT) systems with low output ripples and fast transient responses. System power is regulated by skipping pulses, thus achieving zero ... -
Hysteretic Control Lyapunov Functions with Application to Global Asymptotic Tracking for Underwater Vehicles
(Chapter, 2021)This paper introduces hysteretic control Lyapunov functions (HCLFs) for hybrid feedback control of a class of continuous-time systems. A family of HCLFs consists of local control Lyapunov functions defined on open domains, ... -
iBeacon Technology in Welfare: A study of Bluetooth Low Energy for Indoor Positioning
(Master thesis, 2014)Nowadays people live longer and the general population is aging. This phenomenon affects health care services that are experiencing increased costs and pressure. As a result new technological solutions for assisting and ... -
Ice Accretion: Image Post-Processing Measurement Techniques for 2D Ice Shapes
(Peer reviewed; Journal article, 2023)Ice accretion poses substantial safety hazards for the manned and unmanned aviation industries. Its study is essential for icing events risk assessment and for the development of efficient ice protection systems. The ... -
Icing Alert for Drone Pilots with an Airborne IoT Sensor Cluster
(Master thesis, 2022)Atmosfærisk ising er et velkjent fenomen in nordiske land. Ising av fly er en vedvarende trussel for luftfartøy, og har vært forsket på siden andre verdenskrig. Ettersom at etterspørselen for bruk av droner på vinterstid ... -
Icing Detection and Identification for Unmanned Aerial Vehicles using Adaptive Nested Multiple Models
(Journal article; Peer reviewed, 2017)A multiple-model approach for icing diagnosis and identification in small unmanned aerial vehicles is proposed. The accretion of ice layers on wings and control surfaces modifies the shape of the aircraft and, consequently, ... -
Icing Detection for Small Fixed Wing UAVs using Inflight Aerodynamic Coefficient Estimation
(Peer reviewed; Journal article, 2019)In cold and humid environments, airfoil icing is a major hindrance to UAV operations. Airfoil icing increases the aerodynamic drag coefficient, while reducing the maximum lift coefficient and the stall angle. This results ... -
Icing detection for small fixed wing UAVs using inflight aerodynamic coefficient estimation
(Chapter, 2016)We propose a method to detect icing of the airfoil of a fixed-wing Unmanned Aerial Vehicle by using an aerodynamic coefficient estimator and ambient temperature and humidity sensors. The estimator uses the information ... -
Icing Detection on Leading Edge of Aircraft Wings
(Master thesis, 2016)In recent years, the use of UAVs has increased significantly, both for commercial and private use. UAVs are particularly favorable in situations where other alternatives are impractical, or poses a threat to human lives, ... -
Icing diagnosis in unmanned aerial vehicles using an LPV multiple model estimator
(Journal article; Peer reviewed, 2017)The phenomenon of icing, i.e. ice accretion on aircraft surfaces, affects the flight performance of unmanned aerial vehicles (UAVs). Autonomous icing detection schemes are needed in order to assure high efficiency and limit ... -
Identifiability and physical interpretability of hybrid, gray-box models - a case study
(Journal article; Peer reviewed, 2021)Model identifiability concerns the uniqueness of uncertain model parameters to be estimated from available process data and is often thought of as a prerequisite for the physical interpretability of a model. Nevertheless, ... -
Identifiable Prediction Animal Model for the Bi-Hormonal Intraperitoneal Artificial Pancreas
(Peer reviewed; Journal article, 2022)To achieve a fully automatic artificial pancreas (AP), i.e., an AP without the need for meal announcements, the intraperitoneal (IP) route is explored. This route has faster dynamics than the typical subcutaneous (SC) ... -
Identification and Classification of Electrical Loads in a Norwegian Household Using Energy Disaggregation Methods of Non-Intrusive Load Monitoring.
(Master thesis, 2019)Formålet med denne avhandlingen er å fastslå fordelene til forbrukerne ved innføring av smart strømmålere. Et eksperiment ble utformet for å samle inn totalt forbruksdata samt individuell apparatdata i et ikke-laboratoriemiljø ... -
Identification and Order Reduction of Radiation Force Models of Marine Structures
(Doktoravhandlinger ved NTNU, 1503-8181; 2007:188, Doctoral thesis, 2007) -
Identification of EEG-based signature produced by visual exposure to the primary colors RGB
(Master thesis, 2017)In this thesis we have presented results for experiments regarding identification of electroencephalograph (EEG) signatures produced by the visual exposure of primary colors i.e. red, green and blue (RGB) to the subject. ... -
Identification of Failure Modes in the Collision Avoidance System of an Autonomous Ferry using Adaptive Stress Testing
(Peer reviewed; Journal article, 2022)As complex autonomous systems emerge in the maritime sector, measures must be taken in order to ensure thorough safety assessment. Real world testing can be costly and potentially dangerous, and therefore there is a need ... -
Identification of spectral signature for in situ real-time monitoring of smoltification
(Peer reviewed; Journal article, 2021)We describe the use of an optical hyperspectral sensing technique to identify the smoltification status of Atlantic salmon (Salmo salar) based on spectral signatures, thus potentially providing smolt producers with an ... -
Identification, Inversion and Implementaion of the Preisach Hysteresis Model in Nanopositioning
(Master thesis, 2014)Atomic force microscopes offer the possibility for imaging a sample topography with accuracy in the nanometer scale. This kind of performance is impossible without actuators enabling a certain accuracy. A frequently used ...