Now showing items 861-880 of 5316

    • Design and Optimizing the Sea-Spray Collector using CFD 

      Dhar, Sushmit; Khawaja, Hassan; Naseri, Masoud; Edvardsen, Kåre (Conference object; Konferansebidrag, 2022)
      Sea-spray contributes significantly to marine icing, posing a severe challenge to marine operations in cold regions. There are two parts to spray icing, i) amount of water impingement on marine structure, ii) thermodynamics/heat transfer governing the fraction of spray that freezes and adheres to the structure. Sea-spray collection provides means to investigate into marine icing phenomenon. In this ...
    • Stress Constraints From Shear-Wave Analysis in Shallow Sediments at an Actively Seeping Pockmark on the W-Svalbard Margin 

      Singhroha, Sunny; Schramm, Bettina; Plaza Faverola, Andreia Aletia; Domel, Przemyslaw; Dannowski, Anke; Cooke, Frances Ann; Bünz, Stefan (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-28)
      Mechanisms related to sub-seabed fluid flow processes are complex and inadequately understood. Petrophysical properties, availability of gases, topography, stress directions, and various geological parameters determine the location and intensity of leakage which change over time. From tens of seafloor pockmarks mapped along Vestnesa Ridge on the west-Svalbard margin, only six show persistent present-day ...
    • Observing Oil Releases from Platforms Using Synthetic Aperture Radar 

      Skrunes, Stine; Johansson, Malin; Brekke, Camilla (Conference object; Konferansebidrag, 2018)
      Synthetic aperture radar (SAR) is used for operational surveillance of ocean areas and oil spill detection. Oil spills are frequently detected around oil platforms due to the releases of so-called produced water (PW), which is water containing low concentrations of oil that can form surface slicks similar to other oil spills. PW releases are legal within given limits. Understanding the signatures ...
    • Sykdomsbyrde som følge av luftforurensning i Oslo 

      Aasvang, Gunn Marit; Låg, Marit; Schwarze, Per Everhard (Research report; Forskningsrapport, 2016)
      Arbeidet i denne rapporten er et oppdrag fra Statens vegvesen i forbindelse med revisjon av verdsetting av luftkvalitet. Oppdraget var å bidra til at helsevirkninger av luftforurensning i større grad kan inkluderes i fremtidig økonomisk verdsetting av luftforurensning. Folkehelseinstituttet (FHI) har gjennomført beregninger av sykdomsbyrde som følge av luftforurensning i Oslo. Estimater på for tidlige ...
    • Flystøy og luftforurensning ved flyplasser: Mulige helsekonsekvenser ved Oslo lufthavn 

      Krog, Norun Hjertager; Refsnes, Magne Arnold; Aasvang, Gunn Marit; Låg, Marit; Øvrevik, Johan (Research report; Forskningsrapport, 2017)
      Denne rapporten er skrevet på oppdrag fra Ullensaker kommune. Som vertskap for Norges hovedflyplass Oslo lufthavn (OSL) ønsket kommunen oppdatert vitenskapelig kunnskap om mulige virkninger på befolkningens helse og trivsel av de støynivåene man har i nærområdet til flyplassen. Kommunen ønsket også en vurdering av mulig luftforurensning ved flyplassen, og hva som kan være helsemessige konsekvenser ...
    • Implications of transient methane flux on associated biological communities in high-arctic seep habitats, Storbanken, Norwegian Barents sea 

      Heyl, Taylor P.; Panieri, Giuliana; Fornari, Daniel J.; Mattingsdal, Rune; Sauer, Simone; Yao, Haoyi; McCartin, Luke; McElwee, Elisabeth; Shank, Timothy M. (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-21)
      The continental margins of the Arctic Ocean basin contain methane seeps, where transient fluxes of seafloor methane are released due to the thermal dissociation of gas hydrates. An increase in shallow methane seeps identified over the past decade, potentially due to enhanced warming of the Arctic Ocean bottom water and associated destabilization of hydrate structure. Biological communities associated ...
    • Quantifying the variability of power and energy consumption for IoT edge nodes 

      Tofaily, Salma; Rais, Issam; Anshus, Otto Johan (Chapter; Bokkapittel, 2023)
      For IoT and edge systems, measuring, predicting and optimizing energy consumption is an open field. It is important to accurately and precisely characterize power and energy consumption of edge nodes, as energy can be a scarce and key resource. However, there are no fine-grain studies that aim at understanding the potential variability of power and energy consumption of edge nodes. Existing research ...
    • SARINOR WP 3 "SØK". (Norut rapport 11/2015) 

      Antonsen, yngve; Sivertsen, Agnar Holten; Grydeland, Tom; Johansen, Kjell-Sture; Storvold, Rune; Rognmo-Hodge, Andrew; Hagen, Snorre; Sørensen, Geir-Arne; Sydnes, Maria; Sydnes, Are K.; Hansen, Bernt Inge (Research report; Forskningsrapport, 2015)
      Arbeidet analyserer tilgjengelig søk og redningskapasitet (SAR), med fokus på søk, med sikte på å avdekke forbedringspunkter. Arbeidet er begrenset til Norges ansvarsområde i henhold til Arktisk råds avtale om søk og redning i Arktis. Redningshelikopter på SAR beredskap består av 2 AS332L1 AWSAR på Svalbard, et Sea King på Banak og et i Bodø. I tillegg har Bristow et EC225 AWSAR helikopter i Hammerfest. ...
    • Predicting in-hospital death from derived EHR trajectory features 

      Bopche, Rajeev; Gustad, Lise Tuset; Afset, Jan Egil; Damås, Jan Kristian; Nytrø, Øystein (Chapter; Bokkapittel, 2023)
      Medical histories of patients can provide insight into the immediate future of a patient. While most studies propose to predict survival from vital signs and hospital tests within one episode of care, we carry out selective feature engineering from longitudinal historical medical records in this study to develop a dataset with derived features. We then train multiple machine learning models for the ...
    • Construction and Installation of the New CERN Proton Synchrotron Internal Beam Dumps 

      Andersen, Kristian G; Calviani, Marco; Cherif, Ahmed; Coiffet, Thibaut; De Macedo, Aurelio; Devidal, Sylvain; Geisser, Jean-Marie; Gilardoni, Simone S; Gillet, Martin; Grenier-Boley, Edouard; Heredia, Jorge; Majbour, Abdelhabib; Monnet, Franck; Monteserin, Manuel Redondas; Nuiry, Francois-Xavier; Pugnat, Dominique; Romagnoli, Giulia; Seraphin, Yann; Somoza, Jose; Thaus, Nicolas (Chapter; Bokkapittel, 2021-08-26)
      In the framework of the CERN Large Hadron Collider Injectors Upgrade (LIU) Project, the Proton Synchrotron (PS) has been equipped with two new movable Internal Dumps (PSID), each of them capable of absorbing particle beams of an energy of up to 100 kJ. These dumps replace the old Internal Dumps, which have been operated in the accelerator complex since their installation in 1975 until their ...
    • Autostrata: Improved Automatic Stratification for Coarsened Exact Matching 

      Arnes, Jo Inge; Hapfelmeier, Alexander; Horsch, Alexander (Chapter; Bokkapittel, 2022-08-22)
      We commonly adjust for confounding factors in analytical observational epidemiologyto reduce biases that distort the results. Stratification and matching are standard methods for reducing confounder bias. Coarsened exact matching (CEM) is a recent method using stratification to coarsen variables into categorical variables to enable exact matching of exposed and nonexposed ...
    • Selecting principal attributes in multimodal remote sensing for sea ice characterization 

      Khachatrian, Eduard; Chlaily, Saloua; Eltoft, Torbjørn; Marinoni, Andrea (Chapter; Bokkapittel, 2021)
      Automatic ice charting cannot be achieved using only SAR modalities. It is fundamental to combine information from other remote sensors with different characteristics for more reliable sea ice characterization. In this paper, we employ principal feature analysis (PFA) to select significant information from multimodal remote sensing data. PFA is a simple yet very effective approach that can be applied ...
    • The Beauty of Complex Designs 

      Arnes, Jo Inge; Bongo, Lars Ailo (Chapter; Bokkapittel, 2020-12-08)
      The increasing use of omics data in epidemiology enables many novel study designs, but also introduces challenges for data analysis. We describe the possibilities for systems epidemiological designs in the Norwegian Women and Cancer (NOWAC) study and show how the complexity of NOWAC enables many beautiful new study designs. We discuss the challenges of implementing designs and analyzing data. Finally, ...
    • LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification 

      Jha, Debesh; Yazidi, Anis; Riegler, Michael Alexander; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål (Chapter; Bokkapittel, 2021-02-21)
      Deep Neural Networks (DNNs) have become the de-facto standard in computer vision, as well as in many other pattern recognition tasks. A key drawback of DNNs is that the training phase can be very computationally expensive. Organizations or individuals that cannot afford purchasing state-of-the-art hardware or tapping into cloud hosted infrastructures may face a long waiting time before the training ...
    • Cost-Efficient High-Resolution Linear Absorption Spectra Through Extrapolating the Dipole Moment from Real-Time Time-Dependent Electronic-Structure Theory 

      Hauge, Eirill Strand; Kristiansen, Håkon Emil; Konecny, Lukas; Kadek, Marius; Repisky, Michal; Pedersen, Thomas Bondo (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      We present a novel function fitting method for approximating the propagation of the time-dependent electric dipole moment from real-time electronic structure calculations. Real-time calculations of the electronic absorption spectrum require discrete Fourier transforms of the electric dipole moment. The spectral resolution is determined by the total propagation time, i.e. the trajectory length of the ...
    • Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure 

      Storås, Andrea; Riegler, Michael Alexander; Haugen, Trine B.; Thambawita, Vajira L B; Hicks, Steven Alexander; Hammer, Hugo Lewi; Kakulavarapu, Radhika; Halvorsen, Pål; Stensen, Mette Haug (Chapter; Bokkapittel, 2023-02-02)
      The in vitro fertilization procedure called intracytoplasmic sperm injection can be used to help fertilize an egg by injecting a single sperm cell directly into the cytoplasm of the egg. In order to evaluate, refine and improve the method in the fertility clinic, the procedure is usually observed at the clinic. Alternatively, a video of the procedure can be examined and labeled in a time-consuming ...
    • Implementation of Sustainable Aviation Fuel. A PESTEL-analysis 

      Jakobsen, Søren; Laugesen, Simon (Master thesis; Mastergradsoppgave, 2023-06-30)
      Global climate changes are one of the greatest global threats affecting society. All sectors, from the largest ventures to the single individual, must aid in addressing and affecting these changes, resulting in a more sustainable and green future for the generations to come. Aviation currently stands for approximately 2.5% of global total anthropogenic CO2-emissions, which is rapidly climbing towards ...
    • Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks 

      Rognved, Olav; Hicks, Steven; Lasantha Bandara Thambawita, Vajira; Stensland, Håkon Kvale; Zouganeli, Evi; Johansen, Dag; Riegler, Michael A.; Halvorsen, Pål (Chapter; Bokkapittel, 2020)
      In this paper, we present an algorithm for automatically detecting events in soccer videos using 3D convolutional neural networks. The algorithm uses a sliding window approach to scan over a given video to detect events such as goals, yellow/red cards, and player substitutions. We test the method on three different datasets from SoccerNet, the Swedish Allsvenskan, and the Norwegian Eliteserien. ...
    • Detecting the linear and non-linear causal links for disturbances in the power grid 

      Foldvik Eikeland, Odin; Bianchi, Filippo Maria; Holmstrand, Inga Setsa; Bakkejord, Sigurd; Chiesa, Matteo (Chapter; Bokkapittel, 2021)
      Unscheduled power disturbances cause severe consequences for customers and grid operators. To avoid suchevents, it is important to identify the causes and localize the sources of the disturbances in the power distribution network. In this work, we focus on a specific power grid in the Arctic region of Northern Norway that experiences an increased frequency of failures of unspecified origin.
    • Advanced Data Analytics towards Energy Efficient and Emission Reduction Retrofit Technology Integration in Shipping 

      Perera, Lokukaluge Prasad; Ventikos, N P; Rolfsen, Sven; Öster, Anders (Chapter; Bokkapittel, 2021)
      An overview of integrating two energy efficient and emission reduction technologies to improve ship energy efficiency under advanced data analytics is presented in this study. The proposed technologies consist of developing engine and propulsion innovations that will be experimented under laboratory conditions and large-model-scale sea trials, respectively. These experiments will collect large ...