• Viscoelastic flow simulations in disordered porous media 

      De, S.; Kuipers, J.A.M.; Peters, E.A.J.F. (SINTEF Proceedings;2, Chapter; Conference object; Peer reviewed, 2017)
      We investigate creeping flow of a viscoelastic fluid through a three dimensional random porous medium using computational fluid dynamics. The simulations are performed using a finite volume methodology with a staggered ...
    • Viscoelastic Properties of Cells: Modeling and Identification by Atomic Force Microscopy 

      Ragazzon, Michael Remo Palmén; Gravdahl, Jan Tommy; Vagia, Marialena (Journal article; Peer reviewed, 2017)
      Identification of mechanical properties of cells has previously been shown to have a great potential and effectiveness on medical diagnosis. As a result, it has gathered increasing interest of researchers over the recent ...
    • Viscosity Models for Drilling Fluids: Herschel-Bulkley Parameters and Their Use 

      Saasen, Arild; Ytrehus, Jan David (Peer reviewed; Journal article, 2020)
      An evaluation is presented of the practical usage of the Herschel-Bulkley viscosity model for drilling fluids. If data from automatic viscosity measurements exist, the parameters should be selected from relevant shear rate ...
    • Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography 

      Islam, Md Nazmul; Hasan, Mehedi; Hossain, Md Kabir; Alam, Md Golam Rabiul; Uddin, Md Zia; Soylu, Ahmet (Peer reviewed; Journal article, 2022)
      Renal failure, a public health concern, and the scarcity of nephrologists around the globe have necessitated the development of an AI-based system to auto-diagnose kidney diseases. This research deals with the three major ...
    • Vision-based pose estimation for autonomous operations in aquacultural fish farms 

      Schellewald, Christian; Stahl, Annette; Kelasidi, Eleni (Peer reviewed; Journal article, 2021)
      There is a largely increasing demand for the usage of Unmanned Underwater Vehicles (UUVs) including Remotely Operated Vehicles (ROVs) for underwater aquaculture operations thereby minimizing the risks for diving accidents ...
    • Visualisation of Train Punctuality – Illustrations and Cases 

      Landmark, Andreas D.; Seim, Andreas Røsland; Olsson, Nils (Journal article; Peer reviewed, 2017)
      The purpose of this paper is to show relevant dimensions for presenting railway punctuality data. We discuss alternatives for visualisation and analysis, and show principles and practical examples. The study has benefitted ...
    • Visualization and Measurement of Swirling Flow of Dry Ice Particles in Cyclone Separator-Sublimator 

      Yamasaki, Haruhiko; Wakimoto, Hiroyuki; Kamimura, Takeshi; Hattori, Kazuhiro; Nekså, Petter; Yamaguchi, Hiroshi (Peer reviewed; Journal article, 2022)
      The dry ice sublimation process of carbon dioxide (CO2 ) is a unique, environmentally friendly technology that can achieve a temperature of −56 ◦C or lower, which is a triple point of CO2 in CO2 refrigeration systems. In ...
    • Visualization of user-defined elements in Abaqus 

      Osen, Vidar (SINTEF Rapport;1504-9795, Research report, 2018)
      Abaqus is a software system for finite element analysis. It comes with standard elements which can be used for solving problems based on established theory. In addition to the standard elements, Abaqus offers a possibility ...
    • Visualizing bacteria-carrying particles in the operating room: exposing invisible risks 

      Sadeghian, Parastoo; Duwig, Christophe; Romero, Mario; Sadrizadeh, Sasan (SINTEF Proceedings;9, Chapter; Peer reviewed; Conference object, 2021)
      Surgical site infections occur due to contamination of the wound area by bacteria-carrying particles during the surgery. There are many surgery preparation conditions that might block the path of clean air in the operating ...
    • Visualizing Cyber Security Risks with Bow-Tie Diagrams 

      Bernsmed, Karin; Frøystad, Christian; Meland, Per Håkon; Nesheim, Dag Atle; Rødseth, Ørnulf Jan (Journal article; Peer reviewed, 2018)
      Safety and security risks are usually analyzed independently, by different people using different tools. Consequently, the system analyst may fail to realize cyber attacks as a contributing factor to safety impacts or, on ...
    • Visualizing Cyber Security Risks with Bow-Tie Diagrams 

      Bernsmed, Karin; Frøystad, Christian; Meland, Per Håkon; Nesheim, Dag Atle; Rødseth, Ørnulf Jan (Journal article; Peer reviewed, 2018-01-19)
      Safety and security risks are usually analyzed independently, by different people using different tools. Consequently, the system analyst may fail to realize cyber attacks as a contributing factor to safety impacts or, on ...
    • Visualizing user perception of daylighting: a comparison between VR and reality 

      Hegazy, Muhammad; Ichiriyama, Ken; Yasufuku, Kensuke; Abe, Hirokazu (SINTEF Proceedings;5, Chapter; Peer reviewed; Conference object, 2020)
      This study introduces a novel method to investigate human perception of daylight in an interactive and immersive way, using game-engine and virtual reality (VR). The proposed method produces highly realistic renderings in ...
    • Visund Sør condensate and Visund crude oil– Weathering properties and behaviour at sea - In relation to oil spill response - OC2020 A-110 

      Sørheim, Kristin Rist; Bakken, Oddveig Merethe; Hellstrøm, Kaja Cecilie (SINTEF Ocean rapporter;OC2020 A-110 - O, Research report, 2020-09-02)
      A weathering study has been conducted on Visund Sør condensate and Visund crude oil. The weathering study is based on a small-scale laboratory testing at 13 °C. The SINTEF Oil Weathering Model (OWM was used to predict the ...
    • VLES turbulence model for an Eulerian–Lagrangian modeling concept for bubble plumes 

      Olsen, Jan Erik; Skjetne, Paal; Johansen, Stein Tore (Peer reviewed; Journal article, 2017)
      Traditional Reynolds-averaged Navier–Stokes (RANS) approaches to turbulence modeling, such as the k-ϵ model, have some well-known shortcomings when modeling transient flow phenomena. To mitigate this, a filtered URANS model ...
    • VOC contributions from building materials, furniture, and user equipment in low emitting and modular classrooms 

      Yang, Aileen; Holøs, Sverre Bjørn; Hak, Claudia; Vogt, Matthias; Schmidbauer, Norbert; Fjellheim, Øystein (SINTEF Proceedings;9, Chapter; Peer reviewed; Conference object, 2021)
      This study aimed to assess whether building materials, furniture, and user equipment are sources of pollution that would influence the need for ventilation. Between 2017-2020, measurements were taken in four regular ...
    • VOC emission rates in newly built and renovated buildings, and the influence of ventilation – a review and meta-analysis 

      Holøs, Sverre Bjørn; Yang, Aileen; Lind, Merethe; Thunshelle, Kari; Schild, Peter G.; Mysen, Mads (Journal article; Peer reviewed, 2018)
      Few field studies have evaluated ventilation strategies, such as temporarily increasing the ventilation rate, to counter the high pollutant-load from off-gassing of volatile compounds from new materials in these buildings. ...
    • Vocabulary for model-based user interface development 

      Nilsson, Erik Gösta (Research report, 2011)
      The goal of the work presented in this report has been to define a precise, consistent and understandable vocabulary for our work on model-based user interface development, by finding or making our own definitions of ...
    • VOCALS : Beskrivelse av demonstratoren 

      Holter, Trym (Research report, 2008)
      Rapporten beskriver en demonstrator som er utviklet som et enkelt eksempel på et multimodalt brukergrensesnitt, hvor fokus i stor grad ligger på bruk av tale for interaksjon. Demonstratoren lar brukeren kombinere penn og ...
    • Voice of Evidence: A Look Back 

      Shull, Forrest; Dybå, Tore; Sharp, Helen; Prikladnicki, Rafael (Journal article; Peer reviewed, 2017)
      To celebrate the 200th issue of IEEE Software, Voice of Evidence uses data to examine whether it has helped bridge the gap between research and practice by extracting actionable lessons from the body of research.