• 3D printing in medical application: an educational design perspective 

      Mirtaheri, Peyman; Güler, Evin; Gjøvaag, Terje (Chapter; Peer reviewed, 2017)
      Medical applications for 3D printin g are expanding rapidly and are expected to revolutionize health care. The application of 3D printing in medicine and healthcare can provide many bene fits, including ...
    • Action Recognition in Real Homes using Low Resolution Depth Video Data 

      Casagrande, Flavia Dias; Nedrejord, Oda Olsen; Lee, Wonho; Zouganeli, Evi (Annual IEEE Symposium on Computer-Based Medical Systems;2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Conference object; Journal article; Peer reviewed, 2019-08-05)
      We report work in progress from interdisciplinary research on Assisted Living Technology in smart homes for older adults with mild cognitive impairments or dementia. We present our field trial, the set-up for collecting ...
    • Activity Recognition and Prediction in Real Homes 

      Casagrande, Flavia Dias; Zouganeli, Evi (Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27–28, 2019, Proceedings;, Chapter; Peer reviewed, 2019)
      In this paper, we present work in progress on activity recognition and prediction in real homes using either binary sensor data or depth video data. We present our field trial and set-up for collecting and storing the data, ...
    • Analysis of Optical Brain Signals Using Connectivity Graph Networks 

      Pinto-Orellana, Marco Antonio; Hammer, Hugo Lewi (Lecture Notes in Computer Science;Volume 12279, Conference object; Journal article; Peer reviewed, 2020-08-18)
      Graph network analysis (GNA) showed a remarkable role for understanding brain functions, but its application is mainly nar-rowed to fMRI research. Connectivity analysis (CA) is introduced as a signal-to-graph mapping in a ...
    • BeamBending: a teaching aid for 1-D shear force and bending moment diagrams 

      Carella, Alfredo Raúl (Journal of Open Source Education;2 (19), Journal article; Peer reviewed, 2019-09-02)
      BeamBending is both an educational module and a Python package, intended to serve as a teaching aid during a first course in Statics. The aim of this module is to enhance clarity and provide visual hands-on examples while ...
    • Blood neurofilament light concentration at admittance: a potential prognostic marker in COVID-19 

      Aamodt, Anne Hege; Høgestøl, Einar August; Popperud, Trine Haug; Holter, Jan Cato; Dyrhol-Riise, Anne Ma; Tonby, Kristian; Stiksrud, Birgitte; Paulsen, Else Quist; Berge, Tone; Barratt-Due, Andreas; Aukrust, Pål; Heggelund, Lars; Blennow, Kaj; Zetterberg, Henrik; Harbo, Hanne Flinstad (Journal of Neurology;, Peer reviewed; Journal article, 2021-03-20)
      Objective To test the hypotheses that blood biomarkers for nervous system injury, serum concentrations of neurofilament light chain protein (NfL) and glial fibrillary acidic protein (GFAp) can serve as biomarkers for disease ...
    • BrainWave Nets: Are Sparse Dynamic Models Susceptible to Brain Manipulation Experimentation? 

      Nascimento, Diego C.; Pinto-Orellana, Marco Antonio; Leite, Joao P.; Edwards, Dylan J.; Louzada, Francisco; Santos, Taiza E. G. (Frontiers in Systems Neuroscience;volume 14, Peer reviewed; Journal article, 2020-11-26)
      Sparse time series models have shown promise in estimating contemporaneous and ongoing brain connectivity. This paper was motivated by a neuroscience experiment using EEG signals as the outcome of our established interventional ...
    • Caffeine Increases Strength and Power Performance in Resistance-trained Females During Early Follicular Phase 

      Norum, Martin; Risvang, Linn; Bjørnsen, Thomas; Dimitriou, Lygeri; Rønning, Per Ola; Bjørgen, Morten; Raastad, Truls (Scandinavian Journal of Medicine & Science in Sports;Volume 30, Issue 11, November 2020, Journal article; Peer reviewed, 2020-07-18)
      The effects of 4 mg·kg−1caffeine ingestion on strength and power were investigated for the first time, in resistance-trained females during the early follicular phase utilizing a randomized, double-blind, placebo-controlled, ...
    • 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 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), Journal article; Conference object; Peer reviewed, 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. ...
    • 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. ...
    • 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 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 ...
    • 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, ...
    • Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification 

      Pinto-Orellana, Marco Antonio; Hammer, Hugo Lewi (IEEE Access;Volume 8, Journal article; Peer reviewed, 2020-08-27)
      In this article, we presented a novel spectral estimation method, the dyadic aggregated autoregressive model (DASAR), that characterizes the spectrum dynamics of a modulated signal. DASAR enhances automatic modulation ...