• Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data 

      Vaddireddy, Harsha; Rasheed, Adil; Staples, Anne; San, Omer (Peer reviewed; Journal article, 2020)
      We put forth a modular approach for distilling hidden flow physics from discrete and sparse observations. To address functional expressiblity, a key limitation of the black-box machine learning methods, we have exploited ...
    • Feature-Based Lidar SLAM for Autonomous Surface Vehicles Operating in Urban Environments 

      Skjellaug, Even (Master thesis, 2020)
      I denne oppgaven har et feature-basert lokaliserings og kartleggings (SLAM) system som bruker iSAM2 rammeverket for autonome overflatefartøy (ASV)s i urbane miljø blitt utviklet. Dette systemet kan bli brukt som et back-up ...
    • Feature-based pose estimation of ships in monocular camera images 

      Lauvsnes, Marthe (Master thesis, 2020)
      En metode for å beregne orienteringen til et fartøy basert på en sekvens av bilder blir presentert. Metoden blir demonstrert både på syntetiske bilder fra et simulert miljø og ekte bilder fra Trondheim havn. OpenCV blir ...
    • Features for Movement based Prediction of Cerebral Palsy 

      Rahmanpour, Parsa (Master thesis, 2009)
      Shortly after birth, healthy infants exhibit so-called fidgety movements, while infants who later develop cerebral palsy (CP) lack these movements. General Movement Assessment (GMA) which is a clinical method, has proven ...
    • Feed Distribution in Large Scale Sea Cage Aquaculture: Experiments, modelling and simulation 

      Skøien, Kristoffer Rist (Doctoral theses at NTNU;2017:14, Doctoral thesis, 2017)
      The objective of this thesis was to gain new insight into the process of feeding in large scale sea cage aquaculture and investigate novel methods of feeding in order to increase profitability, welfare and minimize ...
    • Feed intake in Atlantic salmon fed with or without surface spreading of feed 

      Aas, Turid Synnøve; Ytrestøyl, Trine; Åsgård, Torbjørn Einar; Skøien, Kristoffer Rist; Alver, Morten Omholt; Alfredsen, Jo Arve (Journal article, 2020)
      In intensive salmon farming, it is common practice to spread the feed over a large surface area, assuming that spreading of the feed increases feed intake in the fish. However, the impact on the feed pellets during spreading ...
    • Feed intake in Atlantic salmon fed with two different spreading patterns of feed 

      Aas, Turid Synnøve; Ytrestøyl, Trine; Åsgård, Torbjørn Einar; Skøien, Kristoffer Rist; Alver, Morten Omholt; Alfredsen, Jo Arve (Report;14, Research report, 2015)
      Atlantic salmon with initial body weight 0.6 kg kept in 3.3 m3 tanks was fed one meal daily, either by dropping the feed from one point, or by spreading the feed over the water surface, for one month. The relative feed ...
    • Feed spreaders in sea cage aquaculture – Motion characterization and measurement of spatial pellet distribution using an unmanned aerial vehicle 

      Skøien, Kristoffer Rist; Alver, Morten; Zolich, Artur Piotr; Alfredsen, Jo Arve (Journal article; Peer reviewed, 2016)
      Pneumatic rotary feed spreaders represent essential equipment in the feeding system of present day industrial-scale sea cage aquaculture. This study presents experimentally obtained attitude measurements and corresponding ...
    • Feedback control and AI in closed loop: Stability and robustness 

      Åse Victoria Neverlien (Master thesis, 2019)
      Tradisjonelt ville man håndtert surge i kompressorsystemer ved å operere langt fra «the surge line». Ved å gjøre dette vil systemet være stabilt i åpen sløyfe og man unngår dermed at surge oppstår. Selv om dette vil sikre ...
    • Feedback Error-state Kalman Filter with Time-delay Compensation for Hydroacoustic-aided Inertial Navigation of Underwater Vehicles 

      Fossen, Thor I. (Peer reviewed; Journal article, 2023)
      This article is intended as a tutorial to assist engineers who want to develop and implement low-cost underwater vehicle inertial navigation systems (INS) aided by time-delayed hydroacoustic position measurements. A ...
    • Feedback Linearization Control for Systems with Mismatched Uncertainties via Disturbance Observers 

      Kayacan, Erkan; Fossen, Thor I. (Peer reviewed; Journal article, 2018)
      This paper focuses on a novel feedback linearization control (FLC) law based on a self-learning disturbance observer (SLDO) to counteract mismatched uncertainties. The FLC based on BNDO (FLC-BNDO) demonstrates robust control ...
    • Feedback linearizing neural network controllers 

      Sterud, Camilla (Master thesis, 2019)
      Når reguleringssystemer anvendes i praksis er ukjent og umodellert dynamikk et tilbakevendende problem. Ved anvendelse av avanserte reguleringstekniske metoder, som modellbasert prediktiv og tilbakekoblingslineariserende ...
    • Feedforward for Stabilization of an Ammonia Synthesis Reactor 

      Holter, Erik (Master thesis, 2010)
      This thesis illustrates different control structures and tries to demonstrate how feedforward control can be used in stabilizing an unstable ammonia reactor with heat integration. The demonstration of feedforward is done ...
    • Feilanalyse og tilstandsovervåkning av togdeteksjonssystemer 

      Kallerud, Olav (Master thesis, 2016)
      Denne rapporten tar for seg hvordan man kan forbedre og opprettholde pålitelighet og tilgjengelighet av sporfelter, som en del av sikringsanlegget på jernbanen. Metodene som gjennomføres for å belyse denne oppgaven er en ...
    • Few-Shot Open World Learner 

      Teigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf (Peer reviewed; Journal article, 2021)
      Computer vision based recognition systems in dynamically changing environments require continuously updating datasets with novel detected categories while maintaining equally high performance on previously established ...
    • Few-shot open world learning 

      Teigen, Andreas Langeland (Master thesis, 2020)
      Datasynsystemer blir i økende grad tatt i bruk ute i dagligdags- og feltarbeidsapplikasjoner. Denne overgangen fra kontrollerte lab-omgivelser til den vide verden byr derimot på flere nye problemer. I stedet for kun å møte ...
    • Fiducial SLAM For Autonomous Ferry 

      Gerhardsen, Martin Eek (Master thesis, 2021)
      Tradisjonelt sett er Global Navigation Satellite System (GNSS) benyttet for å finne den globale posisjonen til et kjøretøy. GNSS målinger innhentes ofte ved hjelp av én eller to antenner som kommuniserer med satelitter. ...
    • Field Report: Exploring Fronts with Multiple Robots 

      Costa, Maria; Pinto, José; Dias, Paulo Sousa; Pereira, Joao; Lima, Keila; Ribeiro, Manuel; Sousa, Joao Borges; Lukaczyk, Trent; Mendes, Renato; Tomasino, Maria Paola; Magalhaes, Catarina; Belkin, Igor; Lopez-Castejon, Francisco; Gilabert, Javier; Skarpnes, Kay Arne; Ludvigsen, Martin; Rajan, Kanna; Mirmalek, Zara; Chekalyuk, Alexander (Chapter, 2018)
      This paper presents a report from a cruise onboard the R/V Falkor oceanographic vessel from the Schmidt Ocean Institute. The goal of this cruise was to demonstrate a novel approach to observe the ocean with multiple ...
    • Field Test Results of GNSS-denied Inertial Navigation aided by Phased-array Radio Systems for UAVs 

      Gryte, Kristoffer; Bryne, Torleiv Håland; Albrektsen, Sigurd Mørkved; Johansen, Tor Arne (Chapter, 2019)
      Unmanned aerial vehicles (UAVs) often depend on global navigation satellite systems (GNSS) and magnetic compasses for navigation, making them exposed to malicious attacks and sensitive to magnetic anomalies, while restricting ...
    • Finite-Volume High-Fidelity Simulation Combined with Finite-Element-Based Reduced-Order Modeling of Incompressible Flow Problems 

      Fonn, Eivind; Kvamsdal, Trond; Rasheed, Adil (Journal article; Peer reviewed, 2019)
      We present a nonintrusive approach for combining high-fidelity simulations using Finite-Volume (FV) methods with Proper Orthogonal Decomposition (POD) and Galerkin Reduced-Order Modeling (ROM) methodology. By nonintrusive ...