Blar i SINTEF Digital på tittel

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    • Assessing the Usefulness of Testing for Validating the Correctness of Security Risk Models Based on an Industrial Case Study 

      Erdogan, Gencer; Seehusen, Fredrik; Stølen, Ketil; Aagedal, Jan Øyvind (SINTEF Rapport;, Research report, 2014)
      We present the results of an evaluation in which the objective was to assess how useful testing is for validating and gaining confidence in the correctness of security risk models. The evaluation is based on a case study ...

    • Assessment and comparison of target registration accuracy in surgical instrument tracking technologies 

      Teatini, Andrea; Perez de Frutos, Javier; Langø, Thomas; Edwin, Bjørn; Elle, Ole Jacob (Journal article; Peer reviewed, 2018)
      Image guided surgery systems aim to support surgeons by providing reliable pre-operative and intra-operative imaging of the patient combined with the corresponding tracked instrument location. The image guidance is based ...

    • Assessment of Basic Motions and Technique Identification in Classical Cross-Country Skiing 

      Tjønnås, Johannes; Trine, Seeberg; Rindal, Ole Marius Hoel; Haugnes, Pål; Sandbakk, Øyvind (Journal article; Peer reviewed, 2019)
      Cross-country skiing is a popular Olympic winter sport, which is also used extensively as a recreational activity. While cross-country skiing primarily is regarded as a demanding endurance activity it is also technically ...

    • Assessment of Intestinal Ischemia–Reperfusion Injury Using Diffuse Reflectance VIS-NIR Spectroscopy and Histology 

      Hou, Jie; Ness, Siri Schøne; Tschudi, Jon; O'Farrell, Marion; Veddegjerde, Rune; Martinsen, Ørjan Grøttem; Tønnessen, Tor Inge; Strand-Amundsen, Runar James (Peer reviewed; Journal article, 2022)
      A porcine model was used to investigate the feasibility of using VIS-NIR spectroscopy to differentiate between degrees of ischemia–reperfusion injury in the small intestine. Ten pigs were used in this study and four segments ...

    • Assessment of Physical Work Demands of Home Care Workers in Norway: An Observational Study Using Wearable Sensor Technology 

      Tjøsvoll, Svein Ove; Wiggen, Øystein; Gonzalez, Victor; Seeberg, Trine Margrethe; Redzovic, Skender Elez; Liaset, Ingeborg Frostad; Holtermann, Andreas; Fimland, Marius Steiro (Peer reviewed; Journal article, 2022)
      Objectives: High physical work demands are believed to be partly responsible for the high sickness absence among home care workers, but no studies have assessed their physical work demands using precise device-based ...

    • An Assessment Tool for Digital Enhancement of Operators on the Production Shop Floor 

      Pinzone, Marta; Acerbi, Federica; Arica, Emrah; Oliveira, Manuel Fradinho; Taisch, Marco (Peer reviewed; Journal article, 2021)
      The Operator 4.0 represents a recent paradigm within the transformation potential heralded by Industry 4.0. Since there is a lack of practice-oriented tools, grounded in sound theory, to implement the Operator 4.0 successfully, ...

    • Assimilering av lokale data for beregning av tidsvarierende randbetingelser for turbulensvarsling ved flyplasser - tester på aktuelle flymålinger over Værnes 

      Sørli, Karstein; Utnes, Torbjørn (Research report, 2008)
      Vi har i en tidligere rapport (2008-07-02) beskrevet og testet en metode for estimering av dynamiske randbetingelser anvendt til lokal varsling av vindforhold nær flyplasser. Disse randbetingelsene antas å være viktige hva ...

    • Assistive technology for older persons – analyses of data from WHO's rapid assistive technology assessment 

      Eide, Arne Henning; Muller, Sebastien; Khasnabis, Chapal; Borg, Johan; Blakstad, Mats; Mannan, Hasheem; Antypas, Konstantinos; Loeb, Mitchelle; Zhang, Wei (Peer reviewed; Journal article, 2022)
      With a growing population of older persons globally, the need for mainstream assistive technology (AT) as well as assistive technology specifically intended for older persons is on the increase. The association between age ...

    • Association between pulmonary function and peak oxygen uptake in elderly: the Generation 100 study 

      Hassel, Erlend; Stensvold, Dorthe; Halvorsen, Thomas; Wisløff, Ulrik; Langhammer, Arnulf; Steinshamn, Sigurd Loe (Peer reviewed; Journal article, 2015)
      Background Although reduced function of the respiratory system limits peak oxygen uptake in diseases affecting the lungs or airways, the healthy respiratory system is thought to have a spare capacity for oxygen transport ...

    • Audio augmented reality in public transport for exploring tourist sites 

      Boletsis, Costas; Chasanidou, Dimitra (Chapter, 2018)
      Audio augmented reality (AR) has a long research tradition in the tourism industry. Audio AR tour guides for urban environments provide location-based, auditory information about nearby sights, minimising distractions from ...

    • Augmented Reality and Virtual Reality for Retail Innovation 

      Boletsis, Costas; Karahasanovic, Amela (Journal article; Peer reviewed, 2018)
      Nye og bedre Augmented Reality (AR) og Virtual Reality (VR) applikasjoner utvikles helle tiden og brukes mer og mer i handel. Utvikling i AR and VR i løpet av de siste årene satt i gang mange innovasjoner i måten handelen ...

    • The AutoActive Research Environment 

      Albrektsen, Sigurd Mørkved; Bøtker-Rasmussen, Kasper; Liverud, Anders Erik; Dalgard, Steffen Harald; Høgenes, Jakob; Jahren, Silje Ekroll; Kocbach, Jan; Seeberg, Trine Margrethe (Peer reviewed; Journal article, 2022)
      ARE consists of three different software modules; ActivityPresenter, a Matlab toolbox, and a Python toolbox. ActivityPresenter is created to simplify the process of visualising, synchronising, and organising data, such as ...

    • Automated 3D burr detection in cast manufacturing using sparse convolutional neural networks 

      Mohammed, Ahmed Kedir; Kvam, Johannes; Onstein, Ingrid Fjordheim; Bakken, Marianne; Schulerud, Helene (Peer reviewed; Journal article, 2022)
      For automating deburring of cast parts, this paper proposes a general method for estimating burr height using 3D vision sensor that is robust to missing data in the scans and sensor noise. Specifically, we present a novel ...

    • Automated Detection of Electric Vehicles in Hourly Smart Meter Data 

      Hoffmann, Volker; Fesche, Bjørn Ingeberg; Ingebrigtsen, Karoline; Christie, Ingrid Nytun; Punnerud Engelstad, Morten (Journal article; Peer reviewed, 2019)
      Automated detection of EVs from smart meter data can provide important insights for DSOs about spatiotemporal EV charging patterns. However, smart meters typically provide only hourly measurements of consumption while most ...

    • Automated Multi-Skill Shift Design for Hospitals 

      Nilssen, Eivind Jodaa; Stølevik, Martin; Nordlander, Tomas; Johnsen, Erik Lien (Journal article; Peer reviewed, 2010)
      For labour intensive organizations, finding a good match between the predicted workload and the scheduled workforce work capacity is crucial: One important step in this matching process is shift design and it have received ...

    • Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data 

      Rindal, Ole Marius Hoel; Seeberg, Trine Margrethe; Tjønnås, Johannes; Haugnes, Pål; Sandbakk, Øyvind (Journal article; Peer reviewed, 2018)
      The automatic classification of sub-techniques in classical cross-country skiing provides unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is currently possible due to the miniaturization ...

    • Automatic GNSS RFI Classification Challenges 

      Diez, Anja; Morrison, Aiden J; Sokolova, Nadezda (Journal article, 2022)
      This article describes the real-world challenges that are encountered when trying to automatically categorize and classify the radio frequency interference (RFI) events captured in the GNSS signal bands by an international ...

    • Automatic Intraoperative Correction of Brain Shift for Accurate Neuronavigation 

      Iversen, Daniel Høyer; Wein, Wolfgang; Lindseth, Frank; Unsgård, Geirmund; Reinertsen, Ingerid (Journal article; Peer reviewed, 2018)
      Background Unreliable neuronavigation owing to inaccurate patient-to-image registration and brain shift is a major problem in conventional magnetic resonance imaging–guided neurosurgery. We performed a prospective ...

    • Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera 

      Risholm, Petter; Mohammed, Ahmed Kedir; Kirkhus, Trine; Clausen, Sigmund; Vasilyev, Leonid; Folkedal, Ole; Johnsen, Øistein; Haugholt, Karl Henrik; Thielemann, Jens T (Peer reviewed; Journal article, 2022)
      Camera estimation of fish size in aquaculture production and fisheries is crucial for enabling knowledge-based decision making. Automatic estimation of fish lengths on an individual and population basis are key steps to ...

    • Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning 

      Østvik, Andreas; Smistad, Erik; Espeland, Torvald; Berg, Erik Andreas Rye; Løvstakken, Lasse (Journal article; Peer reviewed, 2018)
      Recent studies in the field of deep learning suggest that motion estimation can be treated as a learnable problem. In this paper we propose a pipeline for functional imaging in echocardiography consisting of four central ...