• On the Characteristics of Internal Software Startups 

      Tkalich, Anastasiia; Edison, Henry (Chapter, 2022)
      In recent years, more attention has been given to internal software startups in practice and in research alike, yet the concept is not fully understood. Nor is it clear whether or not it significantly differs from stand-alone ...
    • On the cleansing and inspection of GPS ephemeris data 2000–2016 

      Lie, Arne; Morrison, Aiden; Sokolova, Nadezda; Topland, Morten (Chapter, 2017)
      Archived GPS ephemeris data for years 2000-2016 is investigated by cleansing and precision measures. The goal of this work was twofold: (1) to reveal and remove incorrect ephemeris data so that the cleansed data is as close ...
    • On the Contextualization of Event-Activity Mappings 

      Koschmider, Agnes; Mannhardt, Felix; Tobias, Heuser (Journal article; Peer reviewed, 2019)
      Event log files are used as input to any process mining algorithm. A main assumption of process mining is that each event has been assigned to a distinct process activity already. However, such mapping of events to activities ...
    • On the dimension of multivariate spline spaces 

      Pettersen, Kjell Fredrik (SINTEF Rapport;, Research report, 2013)
      In this paper, we define the topological structures for an arbitrary axis-aligned box partition of a parametric d-dimensional box-shaped limited domain in R^d. Then we define the d-variate spline space over this partition ...
    • On the Evolution of Stress and Microstructure in Radio Frequency-Sputtered Lead-Free (Ba,Ca)(Zr,Ti)O3 Thin Films 

      Dahl-Hansen, Runar Plunnecke; Stange, Marit Synnøve Sæverud; Sunde, Tor Olav Løveng; Ræder, Johan Henrik; Rørvik, Per Martin Ljønes (Peer reviewed; Journal article, 2024)
      Thin-film piezoelectrics are widely investigated for actuators and energy harvesters, but there are few alternatives to toxic lead zirconate titanate. Biocompatible Ca- and Zr-modified BaTiO3 (BCZT) is one of the most ...
    • On the globally exponentially convergent immersion and invariance speed observer for mechanical systems 

      Arbo, Mathias Hauan; Grøtli, Esten Ingar; Gravdahl, Jan Tommy (Journal article; Peer reviewed, 2017)
      In this article we present a reformulation of the invariance and immersion speed observer of Astolfi et al. as applied to mechanical systems with bounded inertia matrices. This is done to explore the possibility of its ...
    • On The Reliability Of Machine Learning Applications In Manufacturing Environments 

      Jourdan, Nicolas; Sen, Sagar; Husom, Erik Johannes; Garcia-Ceja, Enrique; Biegel, Tobias; Metternich, Joachim (Chapter, 2021)
      The increasing deployment of advanced digital technologies such as Internet of Things (IoT) devices and Cyber-Physical Systems (CPS) in industrial environments is enabling the productive use of machine learning (ML) ...
    • On the Stability of Community Tolerance for Aircraft Noise 

      Gelderblom, Femke B.; Gjestland, Truls; Fidell, Sanford; Berry, Bernard (Journal article; Peer reviewed, 2017)
      Although aircraft noise-induced annoyance prevalence rates vary greatly for similar noise exposure levels in different times and places, some suggest that communities have recently reacted more strongly to aircraft noise ...
    • On the Temporal Stability of People’s Annoyance with Road Traffic Noise 

      Gjestland, Truls Tormodsønn (Peer reviewed; Journal article, 2020)
      Sixty‐one social surveys on annoyance caused by road traffic noise conducted world‐wide over a period of forty‐five years have been re‐analyzed by various means for possible temporal trends. Eighteen of these surveys ...
    • On-Line PI Controller tuning Using Closed-Loop Setpoint Response 

      Shamsuzzoha, Mohammad; Skogestad, Sigurd; Halvorsen, Ivar J. (Peer reviewed; Journal article, 2010)
    • Onboarding software developers and teams in three globally distributed legacy projects: A multi-case study 

      Britto, Ricardo; Cruzes, Daniela Soares; Šmite, Darja; Sablis, Aivars (Journal article; Peer reviewed, 2017)
      Onboarding is the process of supporting new employees regarding their social and performance adjustment to their new job. Software companies have faced challenges with recruitment and onboarding of new team members, and ...
    • One-year trial of 12-hour shifts in a non-intensive care unit and an intensive care unit in a public hospital: a qualitative study of 24 nurses’ experiences 

      Ose, Solveig Osborg; Tjønnås, Maria Suong; Kaspersen, Silje Lill; Færevik, Hilde (Journal article; Peer reviewed, 2019)
      Objectives The aim of this study was to provide recommendations to hospital owners and employee unions about developing efficient, sustainable and safe work-hour agreements. Employees at two clinics of a hospital, one a ...
    • Online dimensional control of rolled steel profiles using projected fringes 

      Gåsvik, Kjell J.; Robbersmyr, Kjell G.; Vadseth, Trond (Peer reviewed; Journal article, 2020)
      Fringe projection is a versatile method for mapping the topography of surfaces. In this paper, it is used to measure the defects on the head of railroad rails while the rails are moving. Railroad rails are made by hot ...
    • Online monitoring of aluminium primary production gas composition by use of Fourier-transform infrared spectroscopy 

      Aarhaug, Thor Anders; Ferber, Alain Marc C; Kjos, Ole Sigmund; Gaertner, Heiko (Journal article; Peer reviewed, 2014)
      Online monitoring of aluminium primary production raw gas is challenging due to the high concentration of HF in the presence of water. Tunable Diode Laser (TDL) analyzers retrofitted with sapphire optical windows allow for ...
    • An ontology matching approach for semantic modeling: A case study in smart cities 

      Djenouri, Youcef; Belhadi, Hiba; Akli-Astouati, Karima; Cano, Alberto; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      This paper investigates the semantic modeling of smart cities and proposes two ontology matching frameworks, called Clustering for Ontology Matching-based Instances (COMI) and Pattern mining for Ontology Matching-based ...
    • Ontology-Based Fault Tree Analysis Algorithms in a Fuzzy Environment for Autonomous Ships 

      Sahin, Bekir; Yazidi, Anis; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2021)
      This study deals with fault tree analysis algorithms based on an ontology-based approach in a fuzzy environment. We extend fuzzy fault tree analysis by embedding ontology-based fault tree structures. The ontology-based ...
    • Ontology-based Use Cases for Design-time and Runtime Composition of Mobile Services 

      Rój, Michal Konrad; Meland, Per Håkon; Floch, Jacqueline; Domaszewicz, Jaroslaw (Chapter, 2009)
      This paper presents application of ontology-based modelling and reasoning related to the different phases of the lifecycle of mobile services. Ontology-based descriptions complement traditional design-time and runtime ...
    • The Open Porous Media Flow Reservoir Simulator 

      Rasmussen, Atgeirr Flø; Sandve, Tor Harald; Bao, Kai; Lauser, Andreas; Hove, Joakim; Skaflestad, Bård; Klöfkorn, Robert; Blatt, Markus; Rustad, Alf Birger; Sævareid, Ove; Lie, Knut-Andreas; Thune, Andreas (Peer reviewed; Journal article, 2020)
      The Open Porous Media (OPM) initiative is a community effort that encourages open innovation and reproducible research for simulation of porous media processes. OPM coordinates collaborative software development, maintains ...
    • OpenIaC: open infrastructure as code - the network is my computer 

      Chunming, Rong; Geng, Jiahui; Hacker, Thomas J.; Bryhni, Haakon; Jaatun, Martin, Gilje (Peer reviewed; Journal article, 2022)
      Modern information systems are built fron a complex composition of networks, infrastructure, devices, services, and applications, interconnected by data flows that are often private and financially sensitive. The 5G networks, ...
    • Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI 

      Ahuja, Mohit Kumar; Mohamed-Bachir, Belaid; Pierre, Bernabet; Mathieu, Collet; Arnaud, Gotlieb; Chhagan, Lal; Dusica, Marijan; Sen, Sagar; Aizaz, Sharif; Helge, Spieker (Peer reviewed; Journal article, 2020)
      Trustworthiness is a central requirement for the acceptance and success of human-centered artificial intelligence (AI). To deem an AI system as trustworthy, it is crucial to assess its behaviour and characteristics against ...