Viser treff 541-560 av 1276

    • Waveguide asymmetric long-period grating couplers as refractive index sensors 

      Høvik, Jens; Yadav, Mukesh; Noh, Jong Wook; Aksnes, Astrid (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-07-29)
      A highly sensitive integrated photonic transducer is designed by utilizing asymmetric long-period gratings on a silicon waveguide. These gratings are formed by periodic perturbation of the waveguide width, leading to coupling between the fundamental mode and the 1st order asymmetric leaky mode. The coupled modes are studied via finite-element and finite-difference time-domain methods. Only a single ...
    • Object detection neural network improves Fourier ptychography reconstruction 

      Ströhl, Florian; Jadhav, Suyog; Ahluwalia, Balpreet Singh; Agarwal, Krishna; Prasad, Dilip K. (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-11-23)
      High resolution microscopy is heavily dependent on superb optical elements and superresolution microscopy even more so. Correcting unavoidable optical aberrations during post-processing is an elegant method to reduce the optical system’s complexity. A prime method that promises superresolution, aberration correction, and quantitative phase imaging is Fourier ptychography. This microscopy technique ...
    • Evaluation of adhesive-free focused high-frequency PVDF copolymer transducers fabricated on spherical cavities 

      Habib, Anowarul; Wagle, Sanat; Decharat, Adit; Melandsø, Frank (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-16)
      A layer-by-layer deposition method for fabricating a focused ultrasonic transducer from piezoelectric copolymers has been developed. The fabrication process involves engraving a spherical cavity of 2 mm diameter on polyethyleneimines (PEI) polymer substrate. Surface roughness of the engraved spherical cavity is measured and compared with simulated line scan. Then, the transducer response was ...
    • Pumped Hydropower Conversion and Renewable Hybrid Power Plants at Senja 

      Løvvold, Ina (Master thesis; Mastergradsoppgave, 2020-09-30)
      With an increasing demand for power on a global scale, and an increasing interest in renewable energy sources, both solar and wind power is growing fast. Their efficiency is increasing while the prices are decreasing, and the forecasts for these technologies shows a promising future. Along with these intermittent energy sources, storage solutions are also continuously developing, whereas pumped ...
    • Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI 

      Hansen, Stine; Kuttner, Samuel; Kampffmeyer, Michael; Markussen, Tom-Vegard; Sundset, Rune; Øen, Silje Kjærnes; Eikenes, Live; Jenssen, Robert (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-11-29)
      Tumor segmentation is a crucial but difficult task in treatment planning and follow-up of cancerous patients. The challenge of automating the tumor segmentation has recently received a lot of attention, but the potential of utilizing hybrid positron emission tomography (PET)/magnetic resonance imaging (MRI), a novel and promising imaging modality in oncology, is still under-explored. Recent ...
    • Superresolving the kidney – a practical comparison of fluorescence nanoscopy of the glomerular filtration barrier 

      Wunderlich, Lucia; Ströhl, Florian; Ströhl, Stefan; Vanderpoorten, Oliver; Mascheroni, Luca; Kaminski, Clemens F. (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-12-05)
      Immunofluorescence microscopy is routinely used in the diagnosis of and research on renal impairments. However, this highly specific technique is restricted in its maximum resolution to about 250 nm in the lateral and 700 nm in the axial directions and thus not sufficient to investigate the fine subcellular structure of the kidney’s glomerular filtration barrier. In contrast, electron microscopy ...
    • Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks 

      Choi, Changkyu; Bianchi, Filippo Maria; Kampffmeyer, Michael; Jenssen, Robert (Conference object; Konferansebidrag, 2020-02-06)
      Forecasting the dynamics of time-varying systems is essential to maintaining the sustainability of the systems. Recent studies have discovered that Recurrent Neural Networks(RNN) applied in the forecasting tasks outperform conventional models that include AutoRegressive Integrated Moving Average(ARIMA). However, due to the structural limitation of vanilla RNN which holds unit-length internal ...
    • High space-bandwidth in quantitative phase imaging using partially spatially coherent digital holographic microscopy and a deep neural network 

      Butola, Ankit; Kanade, Sheetal Raosaheb; Bhatt, Sunil; Dubey, Vishesh Kumar; Kumar, Anand; Ahmad, Azeem; Prasad, Dilip K.; Senthilkumaran, Paramasivam; Ahluwalia, Balpreet Singh; Mehta, Dalip Singh (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-11-16)
      Quantitative phase microscopy (QPM) is a label-free technique that enables monitoring of morphological changes at the subcellular level. The performance of the QPM system in terms of spatial sensitivity and resolution depends on the coherence properties of the light source and the numerical aperture (NA) of objective lenses. Here, we propose high space-bandwidth quantitative phase imaging using ...
    • Productive detours – Atlantic water inflow and acoustic backscatter in the major troughs along the Svalbard shelf 

      Menze, Sebastian; Ingvaldsen, Randi Brunvær; Nikolopoulos, Anna; Hattermann, Tore; Albretsen, Jon; Gjøsæter, Harald (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-09-30)
      Atlantic Water (AW) flowing along the western and northern Svalbard shelf-break extends the Atlantic domain into the Arctic and is the region’s major source of heat, nutrients and advected plankton. We investigated the inflow and recirculation of AW into four major troughs that cut into the Svalbard shelf, the Isfjorden, Kongsfjorden, Hinlopen and Kvitøya Troughs, and related the circulation patterns ...
    • On-chip TIRF nanoscopy by applying Haar wavelet kernel analysis on intensity fluctuations induced by chip illumination 

      Jayakumar, Nikhil; Helle, Øystein I.; Agarwal, Krishna; Ahluwalia, Balpreet Singh (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-11-09)
      Photonic-chip based TIRF illumination has been used to demonstrate several on-chip optical nanoscopy methods. The sample is illuminated by the evanescent field generated by the electromagnetic wave modes guided inside the optical waveguide. In addition to the photokinetics of the fluorophores, the waveguide modes can be further exploited for introducing controlled intensity fluctuations for exploitation ...
    • Highly temporal stable, wavelength-independent, and scalable field-of-view common-path quantitative phase microscope 

      Ahmad, Azeem; Dubey, Vishesh Kumar; Butola, Ankit; Ahluwalia, Balpreet Singh; Mehta, Dalip Singh (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-11-11)
      <p><i>Significance:</i> High temporal stability, wavelength independency, and scalable field of view (FOV) are the primary requirements of a quantitative phase microscopy (QPM) system. The high temporal stability of the system provides accurate measurement of minute membrane fluctuations of the biological cells that can be an indicator of disease diagnosis. <p><i>Aim:</i> The main aim of this work ...
    • Muliggjørende teknologi og rammebetingelser 

      Sæle, Hanne; Grande, Ove Steinar; Ingebrigtsen, Karoline; Ahcin, Peter (Research report; Forskningsrapport, 2018-02-19)
    • Malin letar oljespill i ishavet 

      Johansson, Malin; Liljebäck, Lars-Erik (Chronicle; Kronikk, 2020-03-13)
    • UAV-BORNE UWB RADAR FOR SNOWPACK SURVEYS 

      Eckerstorfer, Markus; Jenssen, Rolf Ole Rydeng; Kjellstrup, Andre; Storvold, Rune; Malnes, Eirik; Jacobsen, Svein Ketil (Research report; Forskningsrapport, 2018)
      In this report we summarize the capabilities and technical characteristics of our UAV-borne UWB radar system, designed for conducting snow surveys. We developed an ultrawideband snow sounder that is capable of imaging snow stratigraphy with a 5 cm range resolution. The radar can be carried by an octocopter UAV in order to carry out airborne snowpack surveys. During a demonstration on Andøya, we ...
    • Assessment of High‐Resolution Dynamical and Machine Learning Models for Prediction of Sea Ice Concentration in a Regional Application 

      Fritzner, Sindre Markus; Graversen, Rune; Christensen, Kai Håkon (Journal article; Tidsskriftartikkel, 2020-10-17)
      In this study, the potential for sea ice concentration prediction using machine‐learning methods is investigated. Three different sea ice prediction models are compared: one high‐resolution dynamical assimilative model and two statistical machine‐learning models. The properties of all three models are explored, and the quality of their forecasts is compared. The dynamical model is a state‐of‐the‐art ...
    • Auroral Image Classification With Deep Neural Networks 

      Kvammen, Andreas; Wickstrøm, Kristoffer Knutsen; McKay, Derek; Partamies, Noora (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-10-05)
      Results from a study of automatic aurora classification using machine learning techniques are presented. The aurora is the manifestation of physical phenomena in the ionosphere‐magnetosphere environment. Automatic classification of <i>millions</i> of auroral images from the Arctic and Antarctic is therefore an attractive tool for developing auroral statistics and for supporting scientists to study ...
    • Experimental protocol for sea level projections from ISMIP6 stand-alone ice sheet models 

      Nowicki, Sophie; Goelzer, Heiko; Seroussi, Hélène; Payne, Anthony J.; Lipscomb, William H.; Abe-Ouchi, Ayako; Agosta, Cécile; Alexander, Patrick; Asay-Davis, Xylar S; Barthel, Alice; Bracegirdle, Thomas J.; Cullather, Richard; Felikson, Denis; Fettweis, Xavier; Gregory, Jonathan M.; Hattermann, Tore; Jourdain, Nicolas C.; Munneke, Peter Kuipers; Larour, Eric; Little, Christopher M.; Morlighem, Mathieu; Nias, Isabel; Shepherd, Andrew; Simon, Erika; Slater, Donald; Smith, Robin; Straneo, Fiammetta; Trusel, Luke D.; van den Broeke, Michiel R.; Van de Wal, Roderik (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-07-23)
      Projection of the contribution of ice sheets to sea level change as part of the Coupled Model Intercomparison Project Phase 6 (CMIP6) takes the form of simulations from coupled ice sheet–climate models and stand-alone ice sheet models, overseen by the Ice Sheet Model Intercomparison Project for CMIP6 (ISMIP6). This paper describes the experimental setup for process-based sea level change projections ...
    • Arctic Field Summer Schools: training and awareness in the Arctic 

      Doulgeris, Anthony Paul; Alexeev, Vladimir A.; Murray, Maribeth S. (Conference object; Konferansebidrag, 2020-01)
      A series of three summer schools engaged nearly fifty graduate students in exploring science questions related to current Arctic challenges, and brought together leading Arctic researchers from the partner institutions. Each partner organised a Field School and each had their own unique styles and emphasis. This collaboration aimed to deepen the Arctic knowledge of the young generation, and to create ...
    • Introducing Soft Option-Critic for Blood Glucose Control in Type 1 Diabetes : Exploiting Abstraction of Actions for Automated Insulin Administration 

      Jenssen, Christian (Master thesis; Mastergradsoppgave, 2020-07-15)
      Type 1 Diabetes (T1D) is an autoimmune disease where the insulin-producing cells are damaged and unable to produce sufficient amounts of insulin, causing an inability to regulate the body's blood sugar levels. Administrating insulin is necessary for blood glucose regulation, requiring diligent and continuous care from the patient to avoid critical health risks. The dynamics governing insulin-glucose ...
    • A model for IS spectra for magnetized plasma with arbitrary isotropic velocity distributions 

      Enger, Eirik Rolland (Mastergradsoppgave; Master thesis, 2020-06-27)
      The plasma line in the incoherent scatter spectrum is known to provide information about the state of the ionosphere. However, it is weak in signal strength and therefore difficult to measure reliably and consistently. When high-energetic electrons (suprathermal electrons) are present in the ionosphere the plasma line echo power is enhanced and detectable by more radars. Recent measurements made by ...