SINTEF Digital: Nye registreringer

Viser treff 221-240 av 2523

    • Digital utvikling i Statped - en etterevaluering av Digitaliseringsprosjektets måloppnåelse 

      Fjørtoft, Siw Olsen; Myhr, Arnhild (SINTEF Rapport;2023:00480, Research report, 2023)
      Rapporten gir et innblikk i den digitale utviklingen som har vært i Statped i perioden 2019-2022. Formålet var å undersøke om Statped hadde nådd de ulike effektmålene som Digitaliseringsprosjektet (internt prosjekt i ...

    • Framing the Covid-19 pandemic: A case study of the role of Norwegian public service broadcasting in times of crisis 

      Solvoll, Mona K; Høiby, Marte (Peer reviewed; Journal article, 2023)
      The COVID-19 pandemic has caused both a widespread public health crisis and a global economic crisis, disrupting every aspect of our lives, health, education, jobs, and social life. To provide the public with trustworthy ...

    • Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline 

      Sen, Sagar; Husom, Erik Johannes; Goknil, Arda; Politaki, Dimitra; Tverdal, Simeon; Nguyen, Phu Hong; Jourdan, Nicolas (Peer reviewed; Journal article, 2023)
      Manufacturing converts raw materials into finished products using machine tools for controlled material removal or deposition. It can be observed using sensors installed within and around machine tools. These sensors measure ...

    • Omsorgsbelastning for pårørende til hjemmeboende personer med demens 

      Hagen, Per Ivar; Eide, Arne Henning (Peer reviewed; Journal article, 2020)
      Hensikten med studien er å analysere faktorer som forklarer omsorgsbelastning blant pårørende til hjemmeboende personer med demens. Studien bidrar med ny kunnskap ved å analysere en rekke forklaringsfaktorer samlet – i ...

    • Function-as-a-Service for the Cloud-to-Thing Continuum: A Systematic Mapping Study 

      da Silva Oliveira, Bárbara; Ferry, Nicolas; Song, Hui; Dautov, Rustem; Barišić, Ankica; da Rocha, Atslands Rego (Chapter, 2023)
      Until recently, Internet of Things applications were mainly seen as a means to gather sensor data for further processing in the Cloud. Nowadays, with the advent of Edge and Fog Computing, digital services are dragged closer ...

    • Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study 

      Salte, Ivar Mjåland; Østvik, Andreas; Olaisen, Sindre Hellum; Karlsen, Sigve; Dahlslett, Thomas; Smistad, Erik; Eriksen-Volnes, Torfinn Kirknes; Brunvand, Harald; Haugaa, Kristina Ingrid Helena Hermann; Edvardsen, Thor; Dalen, Håvard; Løvstakken, Lasse; Grenne, Bjørnar Leangen (Peer reviewed; Journal article, 2023)
      Aims: Assessment of left ventricular (LV) function by echocardiography is hampered by modest test-retest reproducibility. A novel artificial intelligence (AI) method based on deep learning provides fully automated measurements ...

    • Students' perspectives on learning with tablets – A case study of a Norwegian municipality 

      Fjørtoft, Siw Olsen (Peer reviewed; Journal article, 2023)
      Digital technology has undeniably become more important in children's and young people's school life. In just a few years, the coverage rate of digital equipment has become very high, and 1:1 classroom is the new norm from ...

    • Configuring Secretarial Workflows in the Epic EHR Suite 

      Ellingsen, Gunnar; Hertzum, Morten; Anthun, Kirsti Sarheim; Melby, Line Kari (Peer reviewed; Journal article, 2023)
      The primary goal of large-scale electronic health record (EHR) suites is to meet the needs of a broad range of users in healthcare institutions. EHR suites are extensively configurable, which makes it possible to tailor ...

    • Set-based collision avoidance applications to robotic systems 

      Moe, Signe; Pettersen, Kristin Ytterstad; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2020)
      A robotic system can consist of a single or multiple agents with a fixed or mobile base, with full or under-actuation, and possibly redundancy. Collision avoidance is a crucial task for any robotic system and is necessary ...

    • An Empirical Study of CERT Capacity in the North Sea 

      Jaatun, Martin Gilje; Bodsberg, Lars; Grøtan, Tor Olav; Moe, Marie Elisabeth Gaup (Chapter, 2020)
      This paper documents the results of an empirical study of cyber incident response readiness in the Norwegian petroleum industry. The study addressed the Computer Emergency Response Team (CERT) capacity among various actors ...

    • Quantifying the Re-identification Risk of Event Logs for Process Mining 

      Nuñez von Voigt, Saskia; Fahrenkrog-Petersen, Stephan; Janssen, Dominik; Koschmider, Agnes; Tschorsch, Florian; Mannhardt, Felix; Landsiedel, Olaf; Weidlich, Matthias (Peer reviewed; Journal article, 2020)
      Event logs recorded during the execution of business processes constitute a valuable source of information. Applying process mining techniques to them, event logs may reveal the actual process execution and enable reasoning ...

    • Characterization of boron-coated silicon sensors for thermal neutron detection 

      Mehendale, Shruti Vineet; Kanaki, Kalliopi; Povoli, Marco; Samnøy, Andreas Tefre; Tambave, Ganesh Jagannath; Kok, Angela; Höglund, Carina; Schmidt, Susann; Kazi, Saima Sultana; Llamas-Jansa, Isabel; Kittelmann, Thomas; Lai, Chung-Chuan; Hansen, Thor-Erik; Pospisil, S.; Slavíček, Tomáš; Røhrich, Dieter; Hall-Wilton, Richard (Peer reviewed; Journal article, 2020)

    • Principal Feature Visualisation in Convolutional Neural Networks 

      Bakken, Marianne; Kvam, Johannes; Stepanov, Alexey; Berge, Asbjørn (Peer reviewed; Journal article, 2020)
      We introduce a new visualisation technique for CNNs called Principal Feature Visualisation (PFV). It uses a single forward pass of the original network to map principal features from the final convolutional layer to the ...

    • Compressor Surge Control Using Lyapunov Neural Networks 

      Neverlien, Åse; Moe, Signe; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2020)
      In this paper surge control in a compression system using a close-coupled valve (CCV) is proposed. The control design is based on Lyapunov control theory in combination with neural networks (NNs) and focuses on minimization ...

    • Shifting conceptualization of control in agile transformations 

      Mikalsen, Marius; Stray, Viktoria; Moe, Nils Brede; Backer, Idun (Peer reviewed; Journal article, 2020)
      Agile transformation implies that organizations apply agile methods also outside of software development units. One particular way of doing such transformations is to create cross-functional software development units. ...

    • GANs enabled super-resolution reconstruction of wind field 

      Tran, Duy Tan; Robinson, Haakon; Rasheed, Adil; San, Omer; Kvamsdal, Trond (Peer reviewed; Journal article, 2020)
      Atmospheric flows are governed by a broad variety of spatio-temporal scales, thus making real-time numerical modeling of such turbulent flows in complex terrain at high resolution computationally unmanageable. In this ...

    • Fast divergence-conforming reduced basis methods for stationary and transient flow problems 

      Fonn, Eivind; van Brummelen, Harald; Kvamsdal, Trond; Rasheed, Adil (Peer reviewed; Journal article, 2020)
      Reduced basis methods (RB methods or RBMs) form one of the most promising techniques to deliver numerical solutions of parametrized PDEs in real-time with reasonable accuracy [1]. For the Navier-Stokes equation, RBMs based ...

    • Sustainability challenges and how Industry 4.0 technologies can address them: a case study of a shipbuilding supply chain 

      Strandhagen, Jo Wessel; Buer, Sven-Vegard; Semini, Marco; Alfnes, Erlend; Strandhagen, Jan Ola (Peer reviewed; Journal article, 2020)
      The shipbuilding industry is under significant economic pressure and in need of more efficient solutions to secure economically sustainable operations. It is also challenged by social issues and the need for a greener ...

    • Towards high-throughput large-area metalens fabrication using UV-nanoimprint lithography and Bosch deep reactive ion etching 

      Dirdal, Christopher Andrew; Jensen, Geir Uri; Angelskår, Hallvard; Thrane, Paul Conrad Vaagen; Gjessing, Jo; Ordnung, Daniel Alfred (Peer reviewed; Journal article, 2020)
      We demonstrate the fabrication of diffraction-limited dielectric metasurface lenses for NIR by the use of standard industrial high-throughput silicon processing techniques: UV nano imprint lithography (UV-NIL) combined ...

    • Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls 

      Jakobsen, Petter; Garcia-Ceja, Enrique; Riegler, Michael; Stabell, Lena Antonsen; Nordgreen, Tine; Tørresen, Jim; Fasmer, Ole Bernt; Ødegaard, Ketil Joachim (Peer reviewed; Journal article, 2020)
      Current practice of assessing mood episodes in affective disorders largely depends on subjective observations combined with semi-structured clinical rating scales. Motor activity is an objective observation of the inner ...