• Støysoner for Lakselv lufthavn, Banak etter retningslinje T-1442 

      Granøien, Idar Ludvig Nilsen; Haukland, Frode (Research report, 2009)
      Det er beregnet flystøysoner for Lakselv lufthavn, Banak i samsvar med retningslinje T-1442 fra Miljøverndepartementet. Grunnlaget er siviltrafikken for hele året 2008, militær trafikk for 2006 og en ti års prognose. ...
    • Støysoner for Misvær helikopterplass 

      Granøien, Idar Ludvig Nilsen (SINTEF Rapport;, Research report, 2008)
      Det er utført beregning av støysoner etter retningslinje T-1442 fra Miljøverndepartementet for en liten landingsplass for helikopter i Misvær i Bodø kommune. Beregningene er utført med det norske programmet NORTIM som tar ...
    • Støysoner for nytt flygemønster ved helikopterlandingsplass på Stangnes Syd 

      Olsen, Herold; Granøien, Idar Ludvig Nilsen (SINTEF Rapport;, Research report, 2018)
      Det er utarbeidet støysonekart i hht. Klima- og miljødepartementets retningslinje T- 1442/2016 for helikopterlandingsplassen på Stangnes Syd i Harstad. Beregningene er utført ved hjelp av NORTIM, et verktøy som tar hensyn ...
    • Støysoner for Trondheim lufthavn Værnes. Basert på trafikken for 2015 og prognose for 2026. 

      Granøien, Idar Ludvig Nilsen (SINTEF Rapport;, Research report, 2016)
      Det er utført beregninger av flystøy ved Trondheim lufthavn Værnes basert på trafikken i 2015 og en ti års prognose i henhold til retningslinje T-1442/2012 fra Klima og Miljøverndepartementet. Beregningene er utført med ...
    • Støyutredning Notodden flyplass Tuven 

      Granøien, Idar Ludvig Nilsen (SINTEF Rapport;, Research report, 2018)
      Det er utarbeidet støysonekart for en framtidig utvidelse av Notodden Flyplass Tuven i henhold til retningslinje T-1442/2016. Beregningene av flystøy er utført med NORTIM, den norske modellen som tar hensyn til topografi ...
    • Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate 

      Sartori, Igor; Walnum, Harald Taxt; Skeie, Kristian; Georges, Laurent Francis Ghislain; Knudsen, Michael D.; Bacher, Peder; Candanedo, José; Sigounis, Anna-Maria; Prakash, Anand Krishnan; Pritoni, Marco; Granderson, Jessica; Yang, Shiyu; Wan, Man Pun (Peer reviewed; Journal article, 2023)
      The data presented here were collected independently for 6 real buildings by researchers of different institutions and gathered in the context of the IEA EBC Annex 81 Data-driven Smart Buildings, as a joint effort to compile ...
    • Subcellular detection of PEBCA particles in macrophages: combining darkfield microscopy, confocal Raman microscopy, and ToF-SIMS analysis 

      Vennemann, Antje; Breitenstein, Daniel; Tallarek, Elke; Mørch, Ýrr Asbjørg; Schmid, Ruth Baumberger; Wiemann, Martin (Peer reviewed; Journal article, 2022)
      The detection of biomedical organic nanocarriers in cells and tissues is still an experimental challenge. Here we developed an imaging strategy for the label-free detection of poly (ethylbutyl cyanoacrylate) (PEBCA) ...
    • Subgrid modelling for two-dimensional turbulence using neural networks 

      Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash (Journal article; Peer reviewed, 2019)
      In this investigation, a data-driven turbulence closure framework is introduced and deployed for the subgrid modelling of Kraichnan turbulence. The novelty of the proposed method lies in the fact that snapshots from ...
    • Subjective evaluation of a noise-reduced training target for deep neural network-based speech enhancement 

      Gelderblom, Femke B.; Tronstad, Tron Vedul; Viggen, Erlend Magnus (Journal article; Peer reviewed, 2018)
      Speech enhancement systems aim to improve the quality and intelligibility of noisy speech. In this study, we compare two speech enhancement systems based on deep neural networks. The speech intelligibility and quality of ...
    • Subjective Intelligibility of Deep Neural Network-Based Speech Enhancement 

      Gelderblom, Femke B.; Tronstad, Tron Vedul; Viggen, Erlend Magnus (Journal article; Peer reviewed, 2017)
      Recent literature indicates increasing interest in deep neural networks for use in speech enhancement systems. Currently, these systems are mostly evaluated through objective measures of speech quality and/or intelligibility. ...
    • Subjective intelligibility of deep neural network-based speech enhancement 

      Gelderblom, Femke B.; Tronstad, Tron Vedul; Viggen, Erlend Magnus (Conference object, 2017)
    • Subsea power cable sheathing: an investigation of lead fatigue performance 

      Viespoli, Luigi Mario; Johanson, Audun; Alvaro, Antonio; Nyhus, Bård; Berto, Filippo (Peer reviewed; Journal article, 2020)
      The protection of subsea power cables against electrical failure is achieved by the use of a watertight layer. Due to its properties of chemical stability and ductility, lead has been the material of choice for this purpose ...
    • Subsea road tunnels in the Faroe Islands 

      Samuelsen, Teitur; Grøv, Eivind (Journal article; Peer reviewed, 2018)
      The Faroe Islands north of Scotland has a disproportionally large number of road tunnels. In addition to 44 km of existing tunnels, two further undersea tunnels totalling 22 km will be completed by 2023. A further 30 km ...
    • Subsea tunnel linking Föglö with the main island in Åland 

      Grøv, Eivind; Høyar, O.; Holmstrøm, H.M. (Peer reviewed; Journal article, 2021)
      The paper describes a well considered subsea road tunnel in Åland, Finland which will hopefully start in the very near future. The paper describes partly the socio-economics and public benefits of such a project in Åland ...
    • Substance use among patients in specialized mental health services in Norway: prevalence and patient characteristics based on a natinal census 

      Andersson, Helle Wessel; Lilleeng, Solfrid; Ruud, Torleif; Ose, Solveig Osborg (Peer reviewed; Journal article, 2020)
      Purpose: The aim of this study was to investigate the clinical and demographic variation in the prevalence of substance use among the general psychiatric population in Norway. Methods: A national census in psychiatric ...
    • Substoichiometric Silicon Nitride – An Anode Material for Li-ion Batteries Promising High Stability and High Capacity 

      Ulvestad, Asbjørn; Andersen, Hanne Flåten; Jensen, Ingvild Julie Thue; Mongstad, Trygve; Mæhlen, Jan Petter; Prytz, Øystein; Kirkengen, Martin (Journal article; Peer reviewed, 2018)
      Silicon is often regarded as a likely candidate to replace graphite as the main active anode material in next-generation lithium ion batteries; however, a number of problems impacting its cycle stability have limited its ...
    • Successful application of multiscale methods in a real reservoir simulator environment 

      Lie, Knut-Andreas; Møyner, Olav; Natvig, Jostein Roald; Kozlova, Antonina; Bratvedt, Kyrre; Watanabe, Shingo; Li, Zhuoyi (Journal article; Peer reviewed, 2017)
      For the past 10 years or so, a number of so-called multiscale methods have been developed as an alternative approach to upscaling and to accelerate reservoir simulation. The key idea of all these methods is to construct a ...
    • Suicidal ideation in patients with mental illness and concurrent substance use: analyses of national census data in Norway 

      Andersson, Helle Wessel; Lilleeng, Solfrid; Ruud, Torleif; Ose, Solveig Osborg (Peer reviewed; Journal article, 2022)
      Background: Suicidal ideation may signal potential risk for future suicidal behaviors and death. We examined the prevalence of recent suicidal ideation in patients with mental illness and concurrent substance use and ...
    • Suksessfaktorer for økt bruk av solvarme 

      Hauge, Åshild Lappegard; Sørnes, Kari; Godbolt, Åsne Lund; Kristjansdottir, Torhildur; Sørensen, Åse Lekang; Fredriksen, Eyvind (SINTEF Notat;10, Research report, 2014)
      Hovedresultatene fra prosjektet «Suksessfaktorer for solvarme» Hovedmålet med prosjektet har vært å øke kunnskapen om solvarmeanlegg i Norge gjennom å samle brukererfaringer fra syv private solvarmeanlegg i Oslo-området.
    • Summarizing an Eulerian–Lagrangian model for subsea gas release and comparing release of CO2 with CH4 

      Olsen, Jan Erik; Skjetne, Paal (Peer reviewed; Journal article, 2020)
      A subsea gas release is a concern for both safety and environment. This can be assessed by mathematical models. The development of an Eulerian–Lagrangian modelling concept to study subsea gas release has taken place over ...