• Community based digital teaching 

      Antonsen, Simen; Jetlund, Ola (Peer reviewed; Journal article, 2023)
      A common approach to digital teaching is to mimic the classical lecturing in a physical classroom. There are limits to how successful this approach might be in helping students to reach the learning outcomes. However, ...
    • Comparing Deep Learning Based Image Processing Techniques for Unsupervised Anomaly Detection in Offshore Wind Turbines 

      Keprate, Arvind; Sheikhi, Saeid; Siddiqui, Muhammad Salman (IEEE International Conference on Industrial Engineering and Engineering Management;, Chapter; Peer reviewed; Conference object, 2023)
      Offshore wind turbines (OWTs) play a crucial role in renewable energy generation, but their remote and harsh environments make them prone to various anomalies that can significantly affect their performance and reliability. ...
    • Comparing generic and vectorial nonlinear manoeuvring models and parameter estimation using optimal truncated least square support vector machine 

      Xu, Haitong; Hassani, Vahid; Soares, C. Guedes (Applied Ocean Research;Volume 97, April 2020, Journal article; Peer reviewed, 2020-01-18)
      An optimal truncated least square support vector machine (LS-SVM) is proposed for the parameter estimation of nonlinear manoeuvring models based on captive manoeuvring tests. Two classical nonlinear manoeuvring models, ...
    • Comparison of KVP and RSI for Controlling KUKA Robots Over ROS 

      Arbo, Mathias Hauan; Eriksen, Ivar; Sanfilippo, Filippo; Gravdahl, Jan Tommy (IFAC-PapersOnLine;Volume 53, Issue 2, Journal article; Peer reviewed, 2021-07-14)
      In this work, an open-source ROS interface based on KUKAVARPROXY for control of KUKA robots is compared to the commercial closed-source Robot Sensor Interface available from KUKA. This comparison looks at the difference ...
    • Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events 

      Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (International Joint Conference on Neural Networks (IJCNN); 2019 International Joint Conference on Neural Networks (IJCNN), Conference object, 2019-09-30)
      We present results and comparative analysis on the prediction of sensor events in a smart home environment with a limited number of binary sensors. We apply two probabilistic methods, namely Sequence Prediction via Enhanced ...
    • The concept of Laser Spot Thermography test rig with real-time data processing 

      Roemer, Jakub (The International Journal of Multiphysics;Volume 14 · Number 1 · 2020, Journal article; Peer reviewed, 2020-03-31)
      The paper shows the concept of Laser Spot Thermography test rig with real time data processing. Laser Spot Thermography is a promising method for non-destructive testing applications especially, when fully non-contact procedure ...
    • Conjugate Heat Transfer Model Based on SIMPLE and Coupled Energy and Heat Equations 

      Leyli, Amir Nadem; Andleeb, Zahra; Khawaja, Hassan; Messahel, Ramzi; Kanna, Rajesh; Moatamedi, Mojtaba (The International Journal of Multiphysics;Volume 15, number 1, Journal article; Peer reviewed, 2021-01-28)
      In this study, a numerical weak coupling strategy for the modeling of a conjugate heat transfer phenomenon is considered. Where the incompressible Navier-Stokes equations are solved using the Semi-Implicit Method for ...
    • Constructive Assessment Method for Simulator Training 

      Marcano, Laura; Komulainen, Tiina M. (Chapter; Peer reviewed; Chapter, 2016)
      Industrial operator assessment is a very controversial subject in the scientific community, as determining the most suitable, objective and effective means of giving feedback on an operator’s performance is a great challenge. ...
    • Control strategies preventing wastewater overflow in Oslo 

      Seyhan, Halid; Komulainen, Tiina (Linköping Electronic Conference Proceedings;, Peer reviewed; Journal article, 2022)
      As climate change intensifies storms, larger rainwater volumes load the sewage network systems above the design capacity and escalate the risk of combined sewer wastewater overflow to natural waterways. Accordingly, the ...
    • CRISPR/Cas9 gene-editing tools construction 

      Sagerud, Michael Venbakken; Strand, Sebastian Rishaug (Bachelor thesis, 2022)
      Type 1-diabetes is a disease where the body destroys its own insulin-producing, pancreatic beta cells. The pancreatic alpha cells produce the blood sugar-elevating hormone glucagon from the precursor protein proglucagon. Marking ...
    • CW fNIRS with short channel regression and amplitude modulation 

      Engvik, Max; Gjestemoen, Marte Helén Andersen; Horpestad, Anders; Martinsen, Janne; Nordli, Stian (Bachelor thesis, 2018-05-23)
      Functional Near Infrared Spectroscopy (fNIRS) is a relatively new and promising field within brain imaging and neuroscience. It offers a cost efficient, non-invasive method for brain studies, both for research and clinical ...
    • Dataoverføring fra PLS til sky 

      Dreyer, Christoffer Larsen; Foyn, Petter Hellum; Gazimagamaev, Sjamil Mosajevitsj; Kirmichi, Margarita (Bachelor thesis, 2019-05-23)
      Oppgaven går ut på å sette opp en PLS for kommunikasjon med en skytjeneste via en GSM-ruter. Oppsettet gjør et mulig for PLSen å laste opp og lagre måledata på skyen over mobilnettet uavhengig av hvor PLS skal holdes til. ...
    • A Deep Learning Approach To Dead-Reckoning Navigation For Autonomous Underwater Vehicles With Limited Sensor Payloads 

      Saksvik, Ivar; Alcocer, Alex; Hassani, Vahid (OCEANS;OCEANS 2021: San Diego – Porto, Conference object, 2022)
      This paper presents a deep learning approach to aid dead-reckoning (DR) navigation using a limited sensor suite. A Recurrent Neural Network (RNN) was developed to predict the relative horizontal velocities of an Autonomous ...
    • Deletion of Endonuclease V suppresses chemically induced hepatocellular carcinoma 

      Kong, Xiang Yi; Vik, Erik Sebastian; Nawaz, Meh Sameen; Berges, Natalia; Dahl, Tuva Børresdatter; Vågbø, Cathrine; Suganthan, Rajikala; Segers, Filip; Holm, Sverre; Quiles-Jimenez, Ana; Gregersen, Ida; Fladeby, Cathrine; Aukrust, Pål; Bjørås, Magnar; Klungland, Arne; Halvorsen, Bente; Alseth, Ingrun (Nucleic Acids Research;Volume 48, Issue 8, Journal article; Peer reviewed, 2020-02-21)
      Endonuclease V (EndoV) is a conserved inosinespecific ribonuclease with unknown biological function. Here, we present the first mouse model lacking EndoV, which is viable without visible abnormalities. We show that ...
    • Design and Testing of a Composite Pressure Hull for Deep Autonomous Underwater Vehicles. 

      Elkolali, Moustafa; Alcocer, Alex (IEEE Access;Volume: 10, Peer reviewed; Journal article, 2022-08-16)
      This paper outlines the design and testing process of the hull of a deep small Autonomous Underwater Vehicle (AUV), rated at 2000m depth. Many existing AUV pressure housings use aluminum or other isotropic traditional ...
    • Design and Testing of a Miniature Variable Buoyancy System for Underwater Vehicles 

      Elkolali, Moustafa; Al-Tawil, Ahmed; Alcocer, Alex (IEEE Access;Volume 10, 2022, Peer reviewed; Journal article, 2022-04-18)
      Buoyancy-driven underwater vehicles are key tools for obtaining data from the ocean. Underwater gliders and profiling floats, equipped with sensors, provide crucial information on ocean processes and climate changes. The ...
    • Design and verification of a sway-yaw control system for Surface Effect Ships using vent valves 

      Teigland, Håkon; Hassani, Vahid; Auestad, Øyvind Fidje (IFAC-PapersOnLine;Volume 52, Issue 21, 2019, Journal article; Journal article; Peer reviewed, 2019-12-26)
      For an offshore worker in the oil and gas industry, the helicopter transport is the activity associated with the highest risk. An alternative to helicopter crew transfers is to use Surface Effect Ships (SES) to transport ...
    • Design optimization and dynamic testing of CFRP for helicopter loading hanger 

      Andleeb, Zahra; Malik, Sohail; Ghulam, Hussain; Khawaja, Hassan; Moatamedi, Mojtaba (Chapter; Peer reviewed, 2021-07-23)
      This chapter presents the Multiphysics technique applied in the design optimization of a loading hanger for an aerial crane. In this study, design optimization is applied on the geometric modelling of a part being used in ...
    • Detection of Zn in water using novel functionalised planar microwave sensors 

      Frau, Ilaria; Wylie, Stephen; Byrne, Patrick; Cullen, Jeff; Korostynska, Olga; Mason, Alex (Materials Science and Engineering: B;Volume 247, August 2019, 114382, Journal article; Peer reviewed, 2019-07-11)
      Metal pollution in aquatic environments has attracted global attention. Current methods are not able to monitor water quality in-situ at low-cost. This paper reports on a novel approach for detecting changes in the ...
    • Digitalisering & Visualisering av Steinknuseranlegg 

      Pamuk, Muhammet; Mousavi, Homan; Nguyen, Lilly; Melkild, Sunniva (Bachelor thesis, 2019-05-23)
      Implementering av skytjenester i industrien er en ny teknologi som er under utvikling. Mange bedrifter har fortsatt ikke tatt denne teknologien i bruk. Det er derfor stort potensiale innenfor skyteknologi. Siemens skytjeneste, ...