• D2.3.01/02/04 Sensors for condition monotoring of different componenets of (offshore-)wind power plants 

      Vogl, Andreas; Østbø, Niels Peter; Bjerkan, Leif; Jørgensen, Jens Kjær (SINTEF Rapport;, Research report, 2012)
      In this report an overview is given over condition monitoring (CM) and structural health monitoring(SHM) for offshore wind turbines with a special focus on two innovative sensor types – Fiber Bragg Grating (FBG) and ...
    • Daily Stand-Up Meetings: Start Breaking the Rules! 

      Stray, Viktoria; Moe, Nils Brede; Sjøberg, Dag (Peer reviewed; Journal article, 2020)
      Daily stand-up meetings are commonly used for software teams to collaborate and exchange information, but conducting them in a way that benefits the whole team can be challenging. We describe factors that can affect meetings ...
    • Data Handling in Knowledge Infrastructures: A Case Study from Oil Exploration 

      Mikalsen, Marius; Monteiro, Eric (Journal article; Peer reviewed, 2018)
      Offshore oil exploration is concerned with subsea geological reservoirs that are numerous kilometers below the seabed. These reservoirs are knowable only through a knowledge infrastructure of interconnected technologies ...
    • Data preparation as a service based on Apache Spark 

      Mahasivam, Nivethika; Nikolov, Nikolay; Sukhobok, Dina; Roman, Dumitru (Journal article; Peer reviewed, 2017)
      Data preparation is the process of collecting, cleaning and consolidating raw datasets into cleaned data of certain quality. It is an important aspect in almost every data analysis process, and yet it remains tedious and ...
    • Data-driven deconvolution for large eddy simulations of Kraichnan turbulence 

      Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash (Journal article; Peer reviewed, 2018)
      In this article, we demonstrate the use of artificial neural networks as optimal maps which are utilized for convolution and deconvolution of coarse-grained fields to account for sub-grid scale turbulence effects. We ...
    • Data-driven quasi-interpolant spline surfaces for point cloud approximation 

      Raffo, Andrea; Biasotti, Silvia (Peer reviewed; Journal article, 2020)
      In this paper we investigate a local surface approximation, the Weighted Quasi Interpolant Spline Approximation (wQISA), specifically designed for large and noisy point clouds. We briefly describe the properties of the ...
    • DataBio Deliverable D4.4 – Service Documentation 

      Roussopoulos, Konstantinos; Hara, Stefanou; Simarro, Javier Hitado; Palomares, Miguel Angel Esbri; Södergård, Caj; Siltanen, Pekka; Kalaoja, Jarmo; Habyarimana, Ephrem; Kubo, Baldur; Senner, Ivo; Fournier, Fabiana; Berre, Arne- Jørgen; Tsalgatidou, Aphrodite; Coene, Yves; Auran, Per Gunnar; Kepka, Michal; Charvat, Karel; Charvát jr, Karel; Rogotis, Savvas; Krommydas, Stamatis (H2020 732064;D4.4, Research report, 2019-12)
      The public deliverable D4.4 describes the software components and processes (here called pipelines as the processes mostly consist of Big Data volumes streaming through successive processing steps) to be utilized by the ...
    • DataGraft beta v2: New features and capabilities 

      Nikolov, Nikolay; Sukhobok, Dina; Dragnev, Stefan; Dalgard, Steffen Harald; Elvesæter, Brian; von Zernichow, Bjørn Marius; Roman, Dumitru (Journal article; Peer reviewed, 2017)
      In this demonstrator, we will introduce the latest features and capabil-ities added to DataGraft – a Data-as-a-Service platform for data preparation and knowledge graph generation. DataGraft provides data transformation, ...
    • DataGraft: A Platform for Open Data Publishing 

      Roman, Dumitru; Dimitrov, Marin; Nikolov, Nikolay; Pultier, Antoine; Elvesæter, Brian; Simov, Alex; Petkov, Yavor (Journal article; Peer reviewed, 2016)
      DataGraft is a platform for Open Data management. It has the goals to simplify and speed up the data publishing process and to improve the reliability and scalability of the data consumption process. This demonstrator ...
    • Datakvalitet ved digitalisering i petroleumssektoren 

      Myklebust, Thor; Onshus, Tor; Lindskog, Stefan; Ottermo, Maria Vatshaug; Lundteigen, Mary Ann (SINTEF Rapport;2021:00053, Research report, 2021)
      Formålet med denne rapporten er å undersøke hvilke datakilder og data som benyttes i industrielle IKT-systemer og hvordan data behandles og prosesseres før de gjøres tilgjengelig i kontornettet. Styrker og sårbarheter ...
    • A Decade of Research on Autonomous Agile Teams: A Summary of the Third International Workshop 

      Moe, Nils Brede; Stray, Viktoria (Peer reviewed; Journal article, 2020)
      Ever since the agile manifesto was created in 2001, the research community has devoted attention to autonomous teams. This article first examines publications on autonomous agile teams to illustrate how the research has ...
    • Decentralizing the Holter service through improved primary-secondary care collaboration 

      Fensli, Rune Werner; Svagård, Ingrid Storruste (Chapter, 2010)
    • Deconfliction and Surface Generation from Bathymetry Data Using LR B-splines 

      Skytt, Vibeke; Harpham, Quillon; Dokken, Tor; Dahl, Heidi Elisabeth Iuell (Chapter, 2017)
      A set of bathymetry point clouds acquired by different measurement techniques at different times, having different accuracy and varying patterns of points, are approximated by an LR B-spline surface. The aim is to represent ...
    • DECRIS - Risk and Decision Systems for Critical Infrastructures. Metode og verktøy for en samlet risikovurdering av kritiske infrastrukturer 

      Line, Maria Bartnes; Bertelsen, Dag Eiliv; Fridheim, Håvard; Hokstad, Per Richard; Kjølle, Gerd Hovin; Røstum, Jon; Utne, Ingrid Bouwer; Vatn, Gunhild Åm; Vatn, Jørn (SINTEF Rapport;, Research report, 2009)
      Prosjektet DECRIS er finansiert av Norges forskningsråd under SAMRISK-programmet. Det er et samarbeidsprosjekt mellom SINTEF, FFI og NTNU. Prosjektet har utviklet og tilpasset metoder for risikovurdering for kritisk ...
    • Deep customization of multi-tenant SaaS using intrusive microservices 

      Song, Hui; Chauvel, Franck; Solberg, Arnor (Journal article; Peer reviewed, 2018)
      Enterprise software needs to be customizable, and the customization needs from a customer are often beyond what the software vendor can predict in advance. In the on-premises era, customers do deep customizations beyond ...
    • Deep Reinforcement Learning Attitude Control of Fixed Wing UAVs Using Proximal Policy Optimization 

      Bøhn, Eivind Eigil; Coates, Erlend Magnus Lervik; Moe, Signe; Johansen, Tor Arne (Chapter; Peer reviewed, 2019)
      Contemporary autopilot systems for unmanned aerial vehicles (UAVs) are far more limited in their flight envelope as compared to experienced human pilots, thereby restricting the conditions UAVs can operate in and the types ...
    • Defining the initial case-base for a CBR operator support system in digital finishing A methodological knowledge acquisition approach 

      Wienhofen, Leendert Wilhelmus Marinus; Mathisen, Bjørn Magnus (Journal article; Peer reviewed, 2016)
      Case-based reasoning (CBR) literature defines the process of defining a case-base as a hard and time-demanding task though the same literature does not report in detail on how to build your initial case base. The main ...
    • Definitions and Approaches to Model Quality in Model-Based Software Development – A Review of Literature 

      Mohagheghi, Parastoo; Dehlen, Vegard; Neple, Tor (Journal article; Peer reviewed, 2009)
      More attention is paid to the quality of models along with the growing importance of modelling in software development. We performed a systematic review of studies discussing model quality published since 2000 to identify ...
    • Deliverance from Trust through a Redundant Array of Independent Net-storages in Cloud Computing 

      Zhao, Gansen; JAATUN, Martin Gilje; Vasilakos, Athanasios; Nyre, Åsmund Ahlmann; Alapnes, Stian; Yue, Qiang; Tang, Yong (Chapter, 2011)
      Cloud storage services are gaining more and more attention. Surveys suggest that the confidentiality issue is one of the major obstacles for users to use cloud storage services to keep sensitive data. This paper proposes ...
    • Delt situasjonsforståelse under søk og redning i nordområdene 

      Haugstveit, Ida Maria; Skjetne, Jan Håvard; Walderhaug, Ståle; Antonsen, yngve; Ellingsen, May-Britt; Håheim-Saers, Nils; Heggelund, Yngve (SINTEF Rapport;, Research report, 2016)
      Prosjektets mål er å bidra til økt kunnskap om hvordan etablere delt situasjonsforståelse mellom sentrale aktører innen SAR i Nordområdet. Prosjektgruppa har arbeidet ut ifra en menneske-teknologi-organisasjon (MTO) ...