• Digital Twin-Driven Actuator Fault Diagnosis for Autonomous Surface Vehicles 

      Bhagavathi, Ravitej; Kufoalor, Giorgio Minde; Hasan, Agus Ismail (Journal article; Peer reviewed, 2023)
      This paper presents a digital twin-driven fault diagnosis approach based on a graphical model and an adaptive extended Kalman filter algorithm for autonomous surface vehicles. In contrast with the traditional adaptive ...
    • Digital twin-driven dynamic repositioning of floating offshore wind farms 

      Kandemir, Ege; Liu, Jincheng; Hasan, Agus Ismail (Journal article; Peer reviewed, 2023)
      This paper presents a novel approach to optimize wind farm layout during operation based on digital twin and dynamic repositioning. The technology offers a possibility to increase the total energy production of floating ...
    • Digital twin-driven energy modeling of Hywind Tampen floating wind farm 

      Qaiser, Muhammad Talal; Ejaz, Jasim; Osen, Ottar Laurits; Hasan, Agus Ismail (Peer reviewed; Journal article, 2023)
      This paper presents energy modeling of Hywind Tampen floating wind farm based on digital twin technology. Upon its completion, the Hywind Tampen wind farm is the largest floating wind farm in the World and the first floating ...
    • Digital Twins for Lighting Analysis: Literature Review, Challenges, and Research Opportunities 

      Hassan, Muhammad Umair; Angelaki, Stavroula; Alfaro, Claudia Viviana Lopez; Major, Pierre; Styve, Arne; Alaliyat, Saleh Abdel-Afou; Hameed, Ibrahim A.; Besenecker, Ute; Torres, Ricardo da Silva (Chapter, 2022)
      Light modelling, simulation, and photometric calculations are by now common tasks in the lighting design process. These practices contribute to the definition and comparison of suitable layout arrangements and help predict ...
    • Digitale helsetjenester: nye muligheter, nye utfordringer 

      Karlsen, Anniken Th; Sørbø, Marie Flem; Nylenna, Magne (Chapter, 2020)
      En aldrende befolkning, økning i kroniske og sammensatte lidelser og økt etterspørsel etter helse- og omsorgstjenester, fordrer nye tjenestetilbud. Mer bruk av datateknologi er åpenbart en del av løsningen. Økt brukermedvirkning ...
    • Digitalt Magasin 

      Keedklang, Sander; Forberg, Mathias Gjærde (Bachelor thesis, 2021)
      På slutten av høsten 2020 fikk vi tildelt oppdraget om å lage et digitalt rammeverk for et digitalt magasin som vår bacheloroppgave for våren 2021. Oppgavens problemstilling handlet om hvordan vi kunne utvikle et rammeverk ...
    • Digitizing a game of chess using image analysis 

      Flåm, Tommy; Skjong, Jan Olav; Grøtta, Olav Andreas (Bachelor thesis, 2021)
      Sjakk er et gammelt og tradisjonelt spill som har blitt spilt på samme måte i hundrevis av år, men måten sjakk blir sett på og analysert har blitt forandret fundamentalt de siste årene. Digitalisering av sjakk er i dag ...
    • Distribuert modellvisualisering i VR 

      Foss, Fredrik; Johansson, Marcus Benjamin (Bachelor thesis, 2019)
      Målet med denne oppgaven var å utvikle en prototype for RUFO AS der RUFO-representanter og kunder kunne møtes i et virtuelt møterom for å se på og diskutere designet til transportkasser i et 1:1 forhold, før kassene ble ...
    • Distributed Instrument Cluster 

      Nilssen, Mikael; Helland, Andrè (Bachelor thesis, 2021)
      Målet med dette prosjektet var å undersøke og utvikle en prototype av ett web brukergrensesnitt som kan fjernstyre maritime instrumenter for å skaffe realistiske data for lærere som underviser kurs om disse instrumentene. ...
    • Domain Specific Lexicon Generation through Sentiment Analysis 

      Shaukat, Kamran; Hameed, Ibrahim A.; Luo, Suhuai; Javed, Imran; Iqbal, Farhat; Faisal, Amber; Masood, Rabia; Usman, Ayesha; Shaukat, Usman; Hassan, Rosheen; Younas, Aliya; Ali, Shamshair; Adeem, Ghazif (Peer reviewed; Journal article, 2020)
      Sentiment analysis (SA) is used to extract opinions from a huge amount of data and these opinions are comprised of multiple words. Some words have different semantic meanings in different fields and we call them domain ...
    • Drone deep reinforcement learning: A review 

      Azar, Ahmad Taher; Koubaa, Anis; Ali Mohamed, Nada; Ibrahim, Habiba A.; Ibrahim, Zahra Fathy; Kazim, Muhammad; Ammar, Adel; Benjdira, Bilel; Khamis, Alaa M.; Hameed, Ibrahim A.; Casalino, Gabriella (Peer reviewed; Journal article, 2021)
      Unmanned Aerial Vehicles (UAVs) are increasingly being used in many challenging and diversified applications. These applications belong to the civilian and the military fields. To name a few; infrastructure inspection, ...
    • Drone landing spot detection in simulated Environments using semantic segmentation 

      Eirik Fagerhaug (Master thesis, 2019)
      Med raske forbedringer i teknologi for droner, har vi sett store økninger i bruksområder, og som et resultat av dette, observert flere ulykker relatert til feilende systemer. Vi har derfor sett et økende behov for forskning ...
    • Drone: Dynamic positioning in relation to a given object 

      Vattøy, Robin Hofset; Nilsen, Inge; Fagerhaug, Eirik Strøm (Bachelor thesis, 2016)
      This report deals with the bachelor thesis "Drone: Dynamic positioning in relation to a given object", given by Rolls-Royce Marine and NTNU Ålesund. The goal of this task is to develop a framework for a drone autopilot and ...
    • A Dual-Attention Recurrent Neural Network Method for Deep Cone Thickener Underflow Concentration Prediction 

      Yuan, Zhaolin; Hu, Jinlong; Wu, Di; Ban, Xiaojuan (Peer reviewed; Journal article, 2020)
      This paper focuses on the time series prediction problem for underflow concentration of deep cone thickener. It is commonly used in the industrial sedimentation process. In this paper, we introduce a dual attention neural ...
    • DugnadPlanlegger 

      Alexander Enge (Bachelor thesis, 2019)
      Dugnader er ofte en viktig aktivitet i mange sin hverdag. Systemet har et ønske om å gjøre det lettere for både store og små arrangører å planlegge og organisere en dugnad. Applikasjonen er utviklet for dugnader, men kan ...
    • Dynamic Resource Allocation with Maritime Application (DRAMA): Final Report 

      Bye, Robin Trulssen (Research report, 2014)
      An important challenge within the offshore industry and sea traffic preparedness is how to plan and optimise the positioning of a fleet of vessels in a dynamic, everchanging environment such that operating costs and risks ...
    • A Dynamic Three-Bit Image Steganography Algorithm for Medical and e-Healthcare Systems 

      Siddiqui, Ghazanfar Farooq; Iqbal, Zafar; Saleem, Khalid; Saeed, Zafar; Ahmed, Adeel; Hameed, Ibrahim A.; Khan, Muhammad Fahad (Peer reviewed; Journal article, 2020)
      Massive advances in internet infrastructure are impacting e-healthcare services compared to conventional means. Therefore, extra care and protection is needed for extremely confidential patient medical records. With this ...
    • E-Commerce in a distributed system of warehouses 

      Strøm, Sigurd; Jónsson, Sigurður; Hardeberg, Samuel (Bachelor thesis, 2021)
      E-handel er prosessen av å selge eller kjøpe varer eller tjenester over internett. Hovedmålet med denne oppgaven er å lage en e-handel nettside som kan snakke sammen med andre distribuerte varehus. Selve nettbutikken skal ...
    • E-Waste Tracker: A Solution to Monitor E-Waste Recyling Process 

      Artang, Sara (Master thesis, 2023)
      Produksjonen av elektronisk avfall (e-avfall) øker i en hastighet som er uten sidestykke på grunn av faktorer som raske teknologiske fremskritt, endrede forbrukerpreferanser, produktets levetid og det økende antallet ...
    • E-Waste Tracking System with Public Permissioned Blockchain using Byzantine Fault Tolerance Consensus in Norway 

      Gröling, Marc (Master thesis, 2023)
      Electric and electronic equipment is the fastest-growing waste stream. These items contain many precious materials that can be recovered if they are properly recycled. Apart from recovering valuable finite materials, ...