Blar i SINTEF Open på tittel

Viser treff 780-799 av 10055

    • Augmenting the Production Operators for Continuous Improvement 

      Arica, Emrah; Oliveira, Manuel; Powell, Daryl John (Chapter, 2022)
      This paper discusses how continuous improvement activities can be supported by augmenting the operators in production. After a brief literature background, real life case examples from manufacturing companies are provided ...

    • 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 ...

    • Autogenous deformation and relative humidity - Concrete with Aalborg Portland cement and fly ash 

      Kjellmark, Gunrid (COIN Project report;24, Research report, 2010)
      This report summarizes the results from a series of experiments carried out in 7 new dilations rigs measuring autogenous deformation in concrete. The intention was to find a relation between autogenous deformation and ...

    • AutomAl 6000: Semi-automatic structural labelling of HAADF-STEM images of precipitates in Al–Mg–Si(–Cu) alloys 

      Tvedt, Haakon; Marioara, Calin Daniel; Thronsen, Elisabeth; Hell, Christoph Martin; Andersen, Sigmund Jarle; Holmestad, Randi (Peer reviewed; Journal article, 2022)
      When the Al–Mg–Si(–Cu) alloy system is subjected to age hardening, different types of precipitates nucleate depending on the composition and thermomechanical treatment. The main hardening precipitates extend as needles, ...

    • 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 morphometrics on microscopy images of Atlantic cod larvae using Mask R-CNN and classical machine vision techniques 

      Kvæstad, Bjarne; Hansen, Bjørn Henrik; Davies, Emlyn John (Peer reviewed; Journal article, 2022)
      Measurements of morphometrical parameters on i.e., fish larvae are useful for assessing the quality and condition of the specimen in environmental research or optimal growth in the cultivation industry. Manually acquiring ...

    • 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 ...

    • Automated shuttle services in public transport. Lessons learned from the smart feeder research project in Norway 

      Lervåg, Lone-Eirin (Conference object, 2020)
      Backround. Automated mobility services hold a potential to change the way transport is performed, giving rise to previously unknown possibilities, but also new challenges as well. The technology push is significant, as the ...

    • Automated System for Fleet Benchmarking and Assessment of Technical Condition 

      Mo, Brage; Steinebach, Christian; Perera, Lokukaluge Prasad; Dehli, Petter; Lim, Tow Foong (ASME Proceedings | Ocean Engineering;OMAE2017-61219, Chapter, 2017-06-25)
      On-board Energy systems in vessels have to use fuel efficiently to maintain ship speed at lowest possible costs. This paper describes how to use ship operational data to improve and maintain efficiency of the vessel’s power ...

    • Automated tracking of cell migration in phase contrast images with CellTraxx 

      Holme, Børge; Bjørnerud, Birgitte; Pedersen, Nina Marie; Rodriguez de la Ballina, Laura; Wesche, Jørgen; Haugsten, Ellen Margrethe (Peer reviewed; Journal article, 2023)
      The ability of cells to move and migrate is required during development, but also in the adult in processes such as wound healing and immune responses. In addition, cancer cells exploit the cells’ ability to migrate and ...

    • 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 Demand Response referred to electricity spot price. Demo description 

      Grande, Ove Steinar; Livik, Klaus; Hals, Arne (SINTEF Energi. Rapport;, Research report, 2006)

    • Automatic determination of heart rates from microscopy videos of early life stages of fish 

      Nepstad, Raymond; Davies, Emlyn John; Altin, Dag; Nordtug, Trond; Hansen, Bjørn Henrik (Journal article; Peer reviewed, 2017-08-29)
      Toxic effects of organic hydrophobic contaminants include impacts on fish heart rate (HR) and cardiac functioning. Thus, in ecotoxicology as well as aquaculture and even medicine, fish heart functioning plays an important ...

    • 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 intraoperative estimation of blood flow direction during neurosurgical interventions 

      Iversen, Daniel Høyer; Løvstakken, Lasse; Unsgård, Geirmund; Reinertsen, Ingerid (Journal article; Peer reviewed, 2018)
      Purpose In neurosurgery, reliable information about blood vessel anatomy and flow direction is important to identify, characterize, and avoid damage to the vasculature. Due to ultrasound Doppler angle dependencies and the ...

    • 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 ...

    • Automatic reconstruction of metabolic pathways from identified biosynthetic gene clusters 

      Sulheim, Snorre; Fossheim, Fredrik A.; Wentzel, Alexander; Almaas, Eivind (Peer reviewed; Journal article, 2021)
      A wide range of bioactive compounds is produced by enzymes and enzymatic complexes encoded in biosynthetic gene clusters (BGCs). These BGCs can be identified and functionally annotated based on their DNA sequence. Candidates ...