Browsing NORCE Energi og teknologi by Title

Now showing items 28-47 of 349

    • Attention integrated hierarchical networks for no-reference image quality assessment 

      You, Junyong; Korhonen, Jari (Peer reviewed; Journal article, 2022)
      Quality assessment of natural images is influenced by perceptual mechanisms, e.g., attention and contrast sensitivity, and quality perception can be generated in a hierarchical process. This paper proposes an architecture ...

    • Automated and Rapid Seal Wear Classification Based on Acoustic Emission and Support Vector Machine 

      Kandukuri, Surya Teja; Shanbhag, Vignesh Vishnudas; Meyer, Thomas; Caspers, Leo; Noori, Nadia; Schlanbusch, Rune (Journal article; Peer reviewed, 2021)
      Seal wear in hydraulic cylinders results in fluid leakage, and instability of the piston rod movement. Therefore, regular inspection of seals is required using automated approaches to improve productivity and to reduce ...

    • Automated segmentation of endometrial cancer on MR images using deep learning 

      Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Solteszova, Veronika; Zanna, Antonella; Fasmer, Kristine Eldevik; Krakstad, Camilla; Lundervold, Arvid; Lundervold, Alexander Selvikvåg; Salvesen, Øyvind; Erickson, Bradley J.; Haldorsen, Ingfrid S (Peer reviewed; Journal article, 2021)
      Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ...

    • Automated snow avalanche monitoring for Austria: State of the art and roadmap for future work 

      Kapper, Kathrin Lisa; Goelles, Thomas; Muckenhuber, Stefan; Trügler, Andreas; Abermann, Jakob; Schlager, Birgit; Gaisberger, Christoph; Eckerstorfer, Markus; Grahn, Jakob; Malnes, Eirik; Prokop, Alexander; Schöner, Wolfgang (Peer reviewed; Journal article, 2023)
      Avalanches pose a significant threat to the population and infrastructure of mountainous regions. The mapping and documentation of avalanches in Austria is mostly done by experts during field observations and covers usually ...

    • Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera 

      Risholm, Petter; Mohammed, Ahmed Kedir; Kirkhus, Trine; Clausen, Sigmund; Vasilyev, Leonid; Folkedal, Ole; Johnsen, Øistein; Haugholt, Karl Henrik; Thielemann, Jens T (Peer reviewed; Journal article, 2022)
      Camera estimation of fish size in aquaculture production and fisheries is crucial for enabling knowledge-based decision making. Automatic estimation of fish lengths on an individual and population basis are key steps to ...

    • Automatic Measurement of the Dependence on Pressure and Temperature of the Mass Density of Drilling Fluids 

      Cayeux, Eric (Peer reviewed; Journal article, 2022)
      Drilling fluids are subject to substantial variations in pressure and temperature while they are circulated in a well. These changes are so great that the mass density of the drilling fluid varies significantly during ...

    • Autonomous Decision-Making While Drilling 

      Cayeux, Eric; Daireaux, Benoit; Ambrus, Adrian; Mihai, Rodica G.; Carlsen, Liv (Journal article; Peer reviewed, 2021)
      The drilling process is complex because unexpected situations may occur at any time. Furthermore, the drilling system is extremely long and slender, therefore prone to vibrations and often being dominated by long transient ...

    • Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project 

      Camus, Lionel; Andrade, Hector; Aniceto, Ana Sofia; Aune, Magnus; Bandara, Kanchana; Basedow, Sünnje Linnéa; Christensen, Kai Håkon; Cook, Jeremy; Daase, Malin; Dunlop, Katherine Mary; Falk-Petersen, Stig; fietzek, Peter; Fonnes, Gro; Ghaffari, Peygham; Gramvik, Geir; Graves, Inger; Hayes, Daniel; Langeland, Tom; Lura, Harald; Marin, Trond Kristiansen; Nøst, Ole Anders; Peddie, David; Pederick, Joel; Pedersen, Geir; Sperrevik, Ann Kristin; Sørensen, Kai; Tassara, Luca; Tjøstheim, Sigurd; Tverberg, Vigdis; Dahle, Salve (Journal article; Peer reviewed, 2021)
      Effective ocean management requires integrated and sustainable ocean observing systems enabling us to map and understand ecosystem properties and the effects of human activities. Autonomous subsurface and surface vehicles, ...

    • Autonomous UAV Exploration and Mapping in Uncharted Terrain Through Boundary-Driven Strategy 

      Coelho, Fabricio O.; Pinto, Milena Faria; Biundini, Iago Z.; Castro, Gabriel G. R.; Andrade, Fabio Augusto de Alcantara; Marcato, Andre L. M. (Journal article; Peer reviewed, 2024)
      Unmanned Aerial Vehicles (UAVs) play a crucial role in exploring unpredictable terrains, such as accident sites and search zones. These robots require autonomous navigation and precise path planning to operate safely and ...

    • Autonomous unmanned aerial vehicles in search and rescue missions using real-time cooperative model predictive control 

      de Alcantara Andrade, Fabio Augusto; Hovenburg, Anthony Reinier; Netto de Lima, Luciano; Dahlin Rodin, Christopher; Johansen, Tor Arne; Storvold, Rune; Moraes Correia, Carlos Alberto; Barreto Haddad, Diego (Peer reviewed; Journal article, 2019)
      Unmanned Aerial Vehicles (UAVs) have recently been used in a wide variety of applications due to their versatility, reduced cost, rapid deployment, among other advantages. Search and Rescue (SAR) is one of the most prominent ...

    • Bayesian model evaluation for multiple scenarios 

      Aanonsen, Sigurd Ivar; Fossum, Kristian; Mannseth, Trond (Peer reviewed; Journal article, 2023)
      Traditional uncertainty analysis for subsurface models is typically based on a single dynamic model with a number of uncertain parameters. Improved and more robust forecasting can be obtained by combining several models ...

    • Best practices for developing a human centered monitoring system for CO2 storage projects through a collaborative and interdisciplinary research approach 

      Sprenkeling, Marit; Otto, Danny; Nordø, Åsta Dyrnes; Karytas, Spyros; Mendrinos, Dimitrios; Polyzou, Olympia (DigiMon ACT2 (NORCE);D3.5, Research report, 2022)
      This deliverable was created in the context of the European ACT II project DigiMon and is part of work package 3 (designing a human-centered monitoring system), task 3.3 (evaluation of the research process and writing best ...

    • Borehole Optical Fibre Distributed Temperature Sensing vs. Manual Temperature Logging for Geothermal Condition Assessment: Results of the OptiSGE Project 

      Klonowski, Maciej Rudolf; Nermoen, Anders; Thomas, Peter James; Wyrwalska, Urszula; Pratkowiecka, Weronika; Ładocha, Agnieszka; Midttømme, Kirsti; Brytan, Pawel; Krzonkalla, Anna; Maćko, Adrianna; Zawistowski, Karol; Duczmańska-Kłonowska, Jolanta (Journal article; Peer reviewed, 2024)
      Geothermal energy is a crucial component contributing to the development of local thermal energy systems as a carbon-neutral and reliable energy source. Insights into its availability derive from knowledge of geology, ...

    • Bulk Resistivity of Materials in the Si/FeSi Furnace 

      Hoover, Haley Iris; Fromreide, Mads; Sævarsdottir, Gudrun Arnbjörg; Tangstad, Merete (Journal article, 2023)
      The formation of silicon carbide (SiC) and the energy distribution in the furnace are two important parameters in evaluating furnace operations. The energy distribution is determined by the resistivity of the materials in ...

    • Calculating Bayesian model evidence for porous-media flow using a multilevel estimator 

      Mannseth, Trond; Fossum, Kristian; Aanonsen, Sigurd Ivar (Peer reviewed; Journal article, 2024)
      We consider calculation of the Bayesian model evidence, which is an essential component in realistic uncertainty quantification. The main motivation is large-scale porous-media-flow problems, where plain Monte-Carlo (MC) ...

    • Calibration of Thixotropic and Viscoelastic Shear-Thinning Fluids Using Pipe Rheometer Measurements 

      Cayeux, Eric (Peer reviewed; Journal article, 2024)
      Some non-Newtonian fluids have time-dependent rheological properties like a shear stress that depends on the shear history or a stress overshoot that is a function of the resting time, when fluid movement is started. The ...

    • Case study on optimal design and operation of detached house energy system: Solar, battery, and ground source heat pump 

      Nordgård-Hansen, Ellen Marie; Kishor, Nand; Midttømme, Kirsti; Risinggård, Vetle Kjær; Kocbach, Jan (Peer reviewed; Journal article, 2021)
      Government policy impacts the level of sustainability for which houseowners design and operate their energy system. Consequently, there is a need to consider the sustainability level resulting from different policies, ...

    • Cement properties characterization from a section retrieved from an oil production well after 33 years of downhole exposure 

      Beltran Jimenez, Katherine; Gardner, Dave; Kragset, Steinar; Gebremariam, Kidane Fanta; Reales, Oscar A. M.; Minde, Mona Wetrhus; Lourenco de Souza, Marcelo I.; Aasen, Jan Aage; Skadsem, Hans Joakim; Delabroy, Laurent (Peer reviewed; Journal article, 2021)
      A unique data set has been constructed based on the study of class G cement recovered from an oil well on the Norwegian continental shelf. The cement was placed between two casing sections and submitted to downhole conditions ...

    • Challenges and possible solutions in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health 

      Nordgreen, Tine; Rabbi, Fazle; Tørresen, Jim; Skar, Yngvar Sigmund; Guribye, Frode; Inal, Yavuz; Flobak, Eivind; Wake, Jo Dugstad; Mukhiya, Suresh Kumar; Aminifar, Amin; Myklebost, Sunniva Brurok; Lundervold, Astri J.; Kenter, Robin Maria Francisca; Hammar, Åsa Karin; Kahlon, Smiti; Nordby, Emilie; Sekse, Ragnhild Johanne Tveit; Griffin, Kristine Fonnes; Jakobsen, Petter; Pham, Hoang Minh; Côté-Allard, Ulysse Teller Masao; Noori, Farzan Majeed; Lamo, Yngve (Peer reviewed; Journal article, 2021)
      Purpose Mental illness presents a huge individual, societal and economic challenges, currently accounting for 20% of the worldwide burden of disease. There is a gap between the need for and access to services. Digital ...

    • Characterization of conductivity fields through iterative ensemble smoother and improved correlation-based adaptive localization 

      Xia, Chuan-An; Li, Jiayun; Riva, Monica; Luo, Xiaodong; Guadagnini, Alberto (Peer reviewed; Journal article, 2024)
      Localization is critical to the effective use of an (iterative) ensemble Kalman filter or ensemble smoother to estimate uncertain quantities of interest. Here, we propose a novel, fully adaptive, correlation-based localization ...