• Risk-based labour inspection by means of machine learning 

      Dahl, Øyvind; Søberg, Marius; Eskov, Anton (Lecture, 2017)
    • Risk-based Optimization of Sensor Distribution in Roof Constructions – A Conceptual Study 

      Gradeci, Klodian; Time, Berit; Gullbrekken, Lars (Peer reviewed; Conference object; Journal article, 2020)
      The objective of placing moisture sensors in roof constructions is to warn about leakage events, and thus avoid undesirable consequences. However, considering that placing an additional sensor is directly related to ...
    • Risk-taking behavior in a computerized driving task: Brain activation correlates of decision-making, outcome, and peer influence in male adolescents 

      Vorobyev, Victor; Kwon, Myoung Soo; Moe, Dagfinn; Parkkola, Riitta; Hämäläinen, Heikki (Journal article; Peer reviewed, 2015)
      Increased propensity for risky behavior in adolescents, particularly in peer groups, is thought to reflect maturational imbalance between reward processing and cognitive control systems that affect decision-making. We used ...
    • RiskTUN: Risk-aware Decision Support System for Tunnel Safety 

      Boletsis, Costas; Nilsson, Erik Gøsta (SINTEF Rapport;2021:00140, Research report, 2021)
      Nowadays, technology can be a key tool to improve the effectiveness of emergency management and human safety in road tunnels. The advantage of using decision support systems (DSSs) for emergency management in complex ...
    • River Classification for Environmental Flow Targets 

      Zinke, Peggy; Sandlund, Odd Terje (SINTEF Energi. Rapport;, Research report, 2014)
    • Riving av betonghus 

      Fjøsne, Aamund (Særtrykk (Norges byggforskningsinstitutt);221, Others, 1973)
    • RNA metabolism guided by RNA modifications: The role of SMUG1 in rRNA quality control 

      Lirussi, Lisa; Demir, Özlem; You, Panpan; Sarno, Antonio; Amaro, Rommie E.; Nilsen, Hilde (Peer reviewed; Journal article, 2021)
      RNA modifications are essential for proper RNA processing, quality control, and maturation steps. In the last decade, some eukaryotic DNA repair enzymes have been shown to have an ability to recognize and process modified ...
    • RNR: Reliability oriented Network Restructuring 

      Mishra, Sambeet; Bordin, Chiara; Palu, Ivo (Chapter; Peer reviewed, 2019)
      This paper presents the reliability indicators for power system restructuring. A reliability oriented network restructuring (RNR) mathematical formulation is proposed for solving power grid expansion decision with non-linear ...
    • Road works during night. Recommendations for the visual environment 

      Ihs, Anita; Sörensen, Kai; Augdal, Arve; Tiensuu, Antti (Research report, 2009)
      This NordFoU report presents the results from a joint Nordic project investigating how to provide a good visual environment at night time for road works. As a part of this it shows how glare can be reduced and its adverse ...
    • Road-map for gas in the Norwegian metallurgical industry: greater value creation and reduced emissions 

      Dalaker, Halvor; Ringdalen, Eli; Kolbeinsen, Leiv; Mårdalen, Jostein (Report, 2017-08-28)
    • Roadmap for additive manufacturing of HAYNES® 282® superalloy by laser beam powder bed fusion (PBF-LB) technology 

      Otto, Robert; Brøtan, Vegard; Carvalho, Patricia A.; Reiersen, Magnus; Graff, Joachim Seland; Sunding, Martin Fleissner; Åsebø Berg, Olav; Diplas, Spyridon; Azar, Amin Shahrestani (Peer reviewed; Journal article, 2021)
      Although various alloy systems have been explored for additive manufacturing (AM) during the past decade, introducing a new alloy remains a challenging task. Most of the materials require iterative builds, for investigating ...
    • Roadmap for large-scale balancing and energy storage from Norwegian hydropower : opportunities, challanges and needs until 2050 

      Charmasson, Julie; Belsnes, Michael; Eloranta, Antti; Graabak, Ingeborg; Korpås, Magnus; Helland, Ingeborg Palm; Wolfgang, Ove; Andersen, Oddgeir; Sundt, Håkon (Report, 2018-08)
    • A Roadmap for Transforming Research to Invent the Batteries of the Future Designed within the European Large Scale Research Initiative BATTERY 2030+ 

      Amici, Julia; Asinari, Pietro; Ayerbe, Elixabete; Barboux, Philippe; Bayle-Guillemaud, Pascale; Behm, R. Juergen; Berecibar, Maitane; Berg, Erik; Bhowmik, Arghya; Bodoardo, Silvia; Castelli, Ivano E.; Cekic-Laskovic, Isidora; Christensen, Rune; Clark, Simon; Diehm, Ralf; Dominko, Robert; Fichtner, Maximilian; Franco, Alejandro A.; Grimaud, Alexis; Guillet, Nicolas; Hahlin, Maria; Hartmann, Sarah; Heiries, Vincent; Hermansson, Kersti; Heuer, Andreas; Jana, Saibal; Jabbour, Lara; Kallo, Josef; Latz, Arnulf; Lorrmann, Henning; Løvvik, Ole Martin; Lyonnard, Sandrine; Meeus, Marcel; Paillard, Elie; Perraud, Simon; Placke, Tobias; Punckt, Christian; Raccurt, Oliver; Ruhland, Janna; Sheridan, Edel Maria; Stein, Helge; Tarascon, Jean-Marie; Trapp, Victor; Vegge, Tejs; Weil, Marcel; Wentzel, Wolfgang; Winter, Martin; Wolf, Andreas; Edström, Kristina (Peer reviewed; Journal article, 2022)
      This roadmap presents the transformational research ideas proposed by “BATTERY 2030+,” the European large-scale research initiative for future battery chemistries. A “chemistry-neutral” roadmap to advance battery research, ...
    • Roadmap to the multidisciplinary design analysis and optimisation of wind energy systems 

      Perez-Moreno, S. Sanchez; Zaaijer, M.B.; Bottasso, C.L.; Dykes, K.; Merz, Karl Otto; Réthoré, P-E; Zahle, F. (Journal article; Peer reviewed, 2016)
      A research agenda is described to further encourage the application of Multidisciplinary Design Analysis and Optimisation (MDAO) methodologies to wind energy systems. As a group of researchers closely collaborating within ...
    • Robot Navigation and Obstacle Detection in Pipelines using Time-of-Flight Imagery 

      Breivik, Gøril M. (Lecture, 2010)
      Range imagery provided by time-of-flight (TOF) cameras has been shown to be useful to facilitate robot navigation in several applications. Visual navigation for autonomous pipeline inspection robots is a special case of ...
    • Robot-supervised Learning of Crop Row Segmentation 

      Bakken, Marianne; Ponnambalam, Vignesh Raja; Moore, Richard J.D.; Omholt Gjevestad, Jon Glenn; From, Pål Johan (Chapter; Peer reviewed, 2021)
      We propose an approach for robot-supervised learning that automates label generation for semantic segmentation with Convolutional Neural Networks (CNNs) for crop row detection in a field. Using a training robot equipped ...
    • Robotic Handling of Compliant Food Objects by Robust Learning from Demonstration 

      Misimi, Ekrem; Olofsson, Alexander; Eilertsen, Aleksander; Øye, Elling Ruud; Mathiassen, John Reidar Bartle (Chapter; Peer reviewed, 2018)
      The robotic handling of compliant and deformable food raw materials, characterized by high biological variation, complex geometrical 3D shapes, and mechanical structures and texture, is currently in huge demand in the ocean ...
    • Robotic weld groove scanning for large tubular T-joints using a line laser sensor 

      Cibicik, Andrej; Njaastad, Eirik B; Tingelstad, Lars; Egeland, Olav (Peer reviewed; Journal article, 2022)
      This paper presents a novel procedure for robotic scanning of weld grooves in large tubular T-joints. The procedure is designed to record the discrete weld groove scans using a commercially available line laser scanner ...
    • Robotvaktmesteren er på vei 

      Transeth, Aksel; Thielemann, Jens T; Holhjem, Øystein Hov; Tønseth, Svein (Others, 2017)
      Kunstige superøyne og antikrasj-teknologi kan gjøre roboter til hjelpere ved inspeksjon og vedlikehold i farlige omgivelser. Det vil gi HMS-gevinst og kostkutt.
    • Robust adaptive backstepping DP control of ROVs 

      Ohrem, Sveinung Johan; Amundsen, Herman Biørn; Caharija, Walter; Holden, Christian (Peer reviewed; Journal article, 2022)
      Dynamic positioning is an important control feature for an underwater remotely operated vehicle. This paper presents a nonlinear dynamic positioning controller suited for application to vehicles with model uncertainties, ...