Viser treff 941-960 av 5380

    • 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 ...
    • Centre for Ice, Cryosphere, Carbon and Climate (iC3). Closing large-scale uncertainty in Polar ice sheet impacts on the global carbon cycle 

      Wadham, Jemma Louise; Winsborrow, Monica Caroline Mackay; Souster, Terri Ann (Conference object; Konferansebidrag, 2023-09)
    • A time-transgressive perspective of glacial erosion and meltwater beneath the Eurasian ice sheet 

      Patton, Henry Jared; Hubbard, Alun Lloyd; Heyman, Jakob; Alexandropoulou, Nikolitsa; Lasabuda, Amando P. E.; Stroeven, Arjen P; Hall, Adrian; Winsborrow, Monica Caroline Mackay; Sugden, David A.; Kleman, Johan; Shackleton, Calvin; Da Silveira Ramos Esteves, Mariana; Bjarnadóttir, Lilja Rún; Andreassen, Karin Marie (Conference object; Konferansebidrag, 2023-08)
      The efficacy and controls governing glacial erosion over geological timescales are intricately linked yet remain poorly understood and contended. By assimilating geophysical data with modelling of the Eurasian Ice Sheet - the third largest Quaternary ice mass that spanned 49°N - 82°N - we decipher its erosional footprint during the last ~110 ka glacial cycle. Our results demonstrate extreme ...
    • Learning nanoscale motion patterns of vesicles in living cells 

      Sekh, Arif Ahmed; Opstad, Ida Sundvor; Birgisdottir, Åsa Birna; Myrmel, Truls; Ahluwalia, Balpreet Singh; Agarwal, Krishna; Prasad, Dilip K. (Chapter; Bokkapittel, 2020)
      Detecting and analyzing nanoscale motion patterns of vesicles, smaller than the microscope resolution (~250 nm), inside living biological cells is a challenging problem. State-of-the-art CV approaches based on detection, tracking, optical flow or deep learning perform poorly for this problem. We propose an integrative approach, built upon physics based simulations, nanoscopy algorithms, and shallow ...
    • A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs 

      Mikalsen, Karl Øyvind; Ruiz, Cristina Soguero; Jenssen, Robert (Chapter; Bokkapittel, 2020)
      A large fraction of the electronic health records (EHRs) consists of clinical measurements collected over time, such as lab tests and vital signs, which provide important information about a patient’s health status. These sequences of clinical measurements are naturally represented as time series, characterized by multiple variables and large amounts of missing data, which complicate the analysis. ...
    • A Protocol for Single-Molecule Translation Imaging in Xenopus Retinal Ganglion Cells 

      Ströhl, Florian; Lin, Julie Qiaojin; Tartwijk, Francesca W. van; Wong, Hovy Ho Wai; Holt, Christine E.; Kaminski, Clemens F. (Chapter; Bokkapittel, 2020-04-29)
      Single-molecule translation imaging (SMTI) is a straightforward technique for the direct quantification of local protein synthesis. The protein of interest is fused to a fast-folding and fast-bleaching fluorescent protein, allowing one to monitor the appearance of individual fluorescence events after photobleaching of pre-existing proteins in the cell under investigation. The translation of individual ...
    • Lithium enrichment of the magmatic-hydrothermal fluid in albite-spodumene pegmatite from Lijiagou, Eastern Tibetan Plateau: Evidence from fluid inclusions 

      Yuan, Yabin; Chen, Bin; Shang, Linbo; Sendula, Eszter; Chou, I-Ming (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-19)
      Albite-spodumene pegmatites, which are remarkable resources of Li worldwide, may experience both magmatic-hydrothermal transition and sub-solidus hydrothermal alteration during their formation and evolution. However, fluids involved in the different stages of the evolution of a spodumene-bearing pegmatitic systems are not well defined, especially at the magmatic-hydrothermal transition stage. In the ...
    • Algorithms that forget: Machine unlearning and the right to erasure 

      Juliussen, Bjørn Aslak; Rui, Jon Petter; Johansen, Dag (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-22)
      rticle 17 of the General Data Protection Regulation (GDPR) contains a right for the data subject to obtain the erasure of personal data. The right to erasure in the GDPR gives, however, little clear guidance on how controllers processing personal data should erase the personal data to meet the requirements set out in Article 17. Machine Learning (ML) models that have been trained on personal data ...
    • Unsupervised Band Selection for Hyperspectral Datasets by Double Graph Laplacian Diagonalization 

      Khachatrian, Eduard; Chlaily, Saloua; Eltoft, Torbjørn; Gamba, Paolo; Marinoni, Andrea (Journal article; Tidsskriftartikkel, 2021)
      The vast amount of spectral information provided by hyperspectral images can be useful for different applications. However, the presence of redundant bands will negatively affect application performance. Therefore, it is crucial to select a relevant subset that preserves the information of the original set. In this paper, we present an automatic and accurate band selection method based on Graph ...
    • Explaining doping in material research (Hf substitution in ZnO films) by directly quantifying the van der Waals force 

      Lai, Chia-Yun; Santos Hernandez, Sergio; Moser, Toni; Alfakes, Boulos; Lu, Chun-Yu; Olukan, Tuza Adeyemi; Rajput, Nitul; Boström, Tobias; Chiesa, Matteo (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-02-04)
      Non-monotonic behavior has been observed in the optoelectronic properties of ZnO thin films as doped with Hf (HZO). Here we propose that two competing mechanisms are responsible for such behaviour. Specifically, we propose that provided two crystal orientations dominate film growth, only one of them might be responsible for direct Hf substitution. Nonmonotonic behaviour is expected at once by ...
    • Damage Characterisation in Composite Laminates Using Vibro-Acoustic Technique 

      Andersen, Kristian G; Jombo, Gbanaibolou; Ismail, Sikiru Oluwarotimi; Chen, Yong Kang; Dhakal, Hom Nath; Zhang, Yu (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-04-30)
      The need to characterise in-service damage in composite structures is increasingly becoming important as composites find higher utilisation in wind turbines, aerospace, automotive, marine, among others. This paper investigates the feasibility of simplifying the conventional acousto-ultrasonic technique set-up for quick and economic one-sided in-service inspection of composite structures. Acousto-ultrasonic ...
    • Structured illumination microscopy using a photonic chip 

      Helle, Øystein Ivar; Dullo, Firehun Tsige; Lahrberg, Marcel; Tinguely, Jean-Claude; Hellesø, Olav Gaute; Ahluwalia, Balpreet Singh (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-04-11)
      Structured illumination microscopy (SIM) enables live-cell super-resolution imaging of subcellular structures at high speeds. At present, linear SIM uses free-space optics to illuminate the sample with the desired light patterns; however, such arrangements are prone to misalignment and add cost and complexity to the microscope. Here, we present an alternative photonic chip-based two-dimensional SIM ...
    • Deep convolutional regression modelling for forest parameter retrieval 

      Björk, Sara Maria (Doctoral thesis; Doktorgradsavhandling, 2023-10-06)
      <p>Accurate forest monitoring is crucial as forests are major global carbon sinks. Additionally, accurate prediction of forest parameters, such as forest biomass and stem volume (SV), has economic importance. Therefore, the development of regression models for forest parameter retrieval is essential. <p>Existing forest parameter estimation methods use regression models that establish pixel-wise ...
    • Intermittent fluctuations in the boundary of magnetically confined fusion plasmas 

      Ahmed, Sajidah (Doctoral thesis; Doktorgradsavhandling, 2023-10-09)
      Fluctuation-induced transport in the form of hot and dense blob-like filaments is a profound concern for the successful operation of commercially-viable fusion reactors. These turbulent phenomena are inherent in the scrape-off layer (SOL), a region of magnetic field lines intersecting with the material surfaces. These filaments propagate radially outward leading to damaging plasma-wall interaction ...
    • Flyr piloter unfit? En spørreundersøkelse og sammenlignende studie 

      Enaasen, Christian Ryther; Ørsleie, Audun Angell (Master thesis; Mastergradsoppgave, 2023-06-01)
      I en verden hvor antall flybevegelser er i økning etter noen år med pandemi er piloters helse og flysikkerheten igjen blitt et tema. Piloter som går på jobb til tross for at de burde holdt seg hjemme kan potensielt utgjøre en stor sikkerhetsrisiko for seg selv og alle andre om bord på samme fly. Denne oppgaven har derfor forsket på dette temaet, med problemstillingen Flyr piloter «unfit», ...
    • Flyr piloter "unfit"? En spørreundersøkelse og sammenlignende studie 

      Ørsleie, Audun Angell; Enaasen, Christian Ryther (Master thesis; Mastergradsoppgave, 2023-06-01)
      I en verden hvor antall flybevegelser er i økning etter noen år med pandemi er piloters helse og flysikkerheten igjen blitt et tema. Piloter som går på jobb til tross for at de burde holdt seg hjemme kan potensielt utgjøre en stor sikkerhetsrisiko for seg selv og alle andre om bord på samme fly. Denne oppgaven har derfor forsket på dette temaet, med problemstillingen "Flyr piloter «unfit», og finnes ...
    • Når tiden er knapp, forholdene er tøffe, men det står liv på spill: En spørreskjemaundersøkelse om emosjonell påvirkning, beslutningstaking og CRM hos luftambulanseflygere 

      Granli, Marius Møllevik (Master thesis; Mastergradsoppgave, 2023-05-31)
      Luftambulansetjenesten HF har i dag kontrakt med Avincis Aviation Services, som opererer luftambulanseflyene i Norge. Denne delen av tjenesten hadde 109.095 oppdrag i tiårsperioden 2013-2022, hvorav 30.0% var haste- eller akuttoppdrag. Luftambulansetjenesten har blitt beskrevet av flere som en samfunnskritisk ressurs, da befolkningen i Norge har rett på lik medisinsk behandling uavhengig av ...