Viser treff 641-660 av 1276

    • Observation of mesospheric dust and ionospheric conditions during the G-chaser rocket campaign 

      Trollvik, Henriette Marie Tveitnes; Gunnarsdottir, Tinna; Mann, Ingrid; Olsen, Sveinung viggo; Restad, Erlend; Antonsen, Tarjei; Fredriksen, Åshild; Eilertsen, Yngve; Havnes, Ole; Hansen, Rikke; Floer, Markus; Bjørk, Arne; Bootby, Christopher; Latteck, Ralph (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-10)
      SPID, Smoke Particle Impact Detector, is a Faraday cup detector designed to measure nanometer-sized meteoric smoke particles during rocket flights. We report measurements made with SPID during the G-Chaser student rocket campaign 13 January 2019 and describe the design of the SPID instruments. Model calculations of dust trajectories within the detector result in an effective crosssection of 0.97 for ...
    • Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B 

      Johansson, Malin; Malnes, Eirik; Gerland, Sebastian; Cristea, Anca; Doulgeris, Anthony Paul; Divine, Dmitry V; Pavlova, Olga; Lauknes, Tom Rune (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-01-17)
      Synthetic Aperture Radar (SAR) satellite images are used to monitor Arctic sea ice, with systematic data records dating back to 1991. We propose a semi-supervised classification method that separates open water from sea ice and can utilise ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1 SAR images. The classification combines automatic segmentation with a manual segment selection stage. The ...
    • Analyse av energibruk og teknisk drift ved Bryne videregående skole 

      Tjøtta, Louise Mitchell (Master thesis; Mastergradsoppgave, 2019-12-15)
      Tidligere Bryne videregående skole (vgs.) og Time vgs. ble i 2015 slått sammen til nye Bryne vgs. I den anledning ble det bygget tre nye skolebygg med et moderne og komplekst energisystem. Skolen er et pilotprosjekt i tråd med Rogaland fylkeskommune sin miljøpolitikk og er bygget med fokus på bærekraftige prinsipper, lavt energiforbruk og bruk av energikilder med begrenset CO2 utslipp. Skolens varme ...
    • Comparison of the Ice Watch Database and Sea Ice Classification from Sentinel-1 Imagery 

      Pedersen, Joakim Lillehaug (Master thesis; Mastergradsoppgave, 2019-12-13)
      In this thesis,we investigate the potential use of in-situ sea ice observations from the Ice Watch database as ground truth data for an automated classification algorithm of sea ice types from Sentinel-1 SAR data. The Ice Watch database and the Sentinel-1 data archive are searched for in-situ observations and satellite data acquisitions in Extra Wide swath mode overlapping in both space and time. ...
    • Wind resource assessment using weather research and forecasting model. A case study of the wind resources at Havøygavlen wind farm 

      Fossem, Anders Aarhuus (Master thesis; Mastergradsoppgave, 2019-12-13)
      The need for energy increases globally due to rapid expansion of population and prosperity. To meet this demand while decreasing carbon emission and eventually transition out fossil fuel, efficient utilization of wind power is prominent. This study evaluates the performance of the Weather Research and Forecast model (WRF) with respect to wind speed and wind direction. The area of the study is ...
    • Short-term wind power prediction models in complex terrain based on statistical time series analysis 

      Fossem, Andreas Aarhuus (Master thesis; Mastergradsoppgave, 2019-12-13)
      One of the largest challenges with the utilization of wind as a renewable resource, is its natural variability and intermittent nature. To achieve a sustainable integration of wind power into the power grid, a precise and reliable prediction method is therefore required. In this study, several short-term wind power prediction models based on statistical time series analysis were developed and tested, ...
    • Affinity-Guided Image-to-Image Translation for Unsupervised Heterogeneous Change Detection 

      Hansen, Mads Adrian (Master thesis; Mastergradsoppgave, 2019-12-16)
      Change detection in earth observation remote sensing images can be used to describe the extent of natural disasters, e.g., forest fires and floods. When time is of the essence, the ability to utilize heterogeneous images is fundamental, i.e., images that are not directly comparable due to the sensors used or the capturing conditions. The recent advances in machine learning have dispersed into the ...
    • On-Site Ribosome Remodeling by Locally Synthesized Ribosomal Proteins in Axons 

      Shigeoka, Toshiaki; Koppers, Max; Wong, Hovy Ho Wai; Lin, Julie Qiaojin; Cagnetta, Roberta; Dwivedy, Asha; de Freitas Nascimento, Janaina; van Tartwijk, Francesca W.; Ströhl, Florian; Cioni, Jean Michel; Schaeffer, Julia; Carrington, Mark; Kaminski, Clemens F.; Jung, Hosung; Harris, William A.; Holt, Christine E. (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-12-10)
      Ribosome assembly occurs mainly in the nucleolus, yet recent studies have revealed robust enrichment and translation of mRNAs encoding many ribosomal proteins (RPs) in axons, far away from neuronal cell bodies. Here, we report a physical and functional interaction between locally synthesized RPs and ribosomes in the axon. We show that axonal RP translation is regulated through a sequence motif, ...
    • Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition 

      Dubey, Vishesh Kumar; Popova, Daria; Ahmad, Azeem; Acharya, Ganesh; Basnet, Purusotam; Mehta, Dalip Singh; Ahluwalia, Balpreet Singh (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-03-05)
      Semen quality assessed by sperm count and sperm cell characteristics such as morphology and motility, is considered to be the main determinant of men’s reproductive health. Therefore, sperm cell selection is vital in assisted reproductive technology (ART) used for the treatment of infertility. Conventional bright field optical microscopy is widely utilized for the imaging and selection of sperm cells ...
    • Noisy multi-label semi-supervised dimensionality reduction 

      Mikalsen, Karl Øyvind; Soguero-Ruiz, Cristina; Bianchi, Filippo Maria; Jenssen, Robert (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-01-29)
      Noisy labeled data represent a rich source of information that often are easily accessible and cheap to obtain, but label noise might also have many negative consequences if not accounted for. How to fully utilize noisy labels has been studied extensively within the framework of standard supervised machine learning over a period of several decades. However, very little research has been conducted ...
    • Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2, and Sentinel-1A/B 

      Johansson, Malin; Malnes, Eirik; Gerland, Sebastian; Cristea, Anca; Doulgeris, Anthony Paul; Divine, Dmitry V; Pavlova, Olga; Lauknes, Tom Rune (Journal article; Tidsskriftartikkel, 2020)
    • Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps 

      Wickstrøm, Kristoffer Knutsen; Kampffmeyer, Michael C.; Jenssen, Robert (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-11-20)
      Colorectal polyps are known to be potential precursors to colorectal cancer, which is one of the leading causes of cancer-related deaths on a global scale. Early detection and prevention of colorectal cancer is primarily enabled through manual screenings, where the intestines of a patient is visually examined. Such a procedure can be challenging and exhausting for the person performing the screening. ...
    • Plasma fluctuations in the scrape-off layer and at the divertor target in Alcator C-Mod and their relationship to divertor collisionality and density shoulder formation 

      Kuang, AQ; LaBombard, Brian; Brunner, D; Garcia, Odd Erik; Kube, Ralph; Theodorsen, Audun (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-03-15)
      Experiments indicate that the formation of density shoulders in the far scrape-off layer (SOL) is associated with an increase in cross-field transport and the propagation of coherent structures of high density known as blobs. It has been suggested that far SOL divertor collisionality (Λ<sub>div</sub>) may be a controlling parameter in this physics, which could be challenging for heat flux mitigation ...
    • Super-condenser enables labelfree nanoscopy 

      Ströhl, Florian; Opstad, Ida Sundvor; Tinguely, Jean-Claude; Dullo, Firehun Tsige; Mela, Ioanna; Osterrieth, Johannes W.M; Ahluwalia, Balpreet Singh; Kaminski, Clemens F. (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-08-22)
      Labelfree nanoscopy encompasses optical imaging with resolution in the 100 nm range using visible wavelengths. Here, we present a labelfree nanoscopy method that combines coherent imaging techniques with waveguide microscopy to realize a <i>super-condenser</i> featuring maximally inclined coherent darkfield illumination with artificially stretched wave vectors due to large refractive indices of the ...
    • An Optimal Decision-Tree Design Strategy and Its Application to Sea Ice Classification from SAR Imagery 

      Lohse, Johannes; Doulgeris, Anthony Paul; Dierking, Wolfgang Fritz Otto (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-07-03)
      We introduce the fully automatic design of a numerically optimized decision-tree algorithm and demonstrate its application to sea ice classification from SAR data. In the decision tree, an initial multi-class classification problem is split up into a sequence of binary problems. Each branch of the tree separates one single class from all other remaining classes, using a class-specific selected feature ...
    • OptiJ: Open-source optical projection tomography of large organ samples 

      Vallejo Ramirez, Pedro P.; Zammit, Joseph; Vanderpoorten, Oliver; Fergus, Riche; Blé, Francois-Xavier; Zhou, Xiao-Hong; Spiridon, Bogdan; Valentine, Christopher; Spasov, Simeon E.; Oluwasanya, Pelumi W.; Goodfellow, Gemma; Fantham, Marcus J.; Siddiqui, Omid; Alimagham, Farah; Robbins, Miranda; Stretton, Andrew; Simatos, Dimitrios; Hadeler, Oliver; Rees, Eric J.; Ströhl, Florian; Laine, Romain F.; Kaminski, Clemens F. (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-10-30)
      The three-dimensional imaging of mesoscopic samples with Optical Projection Tomography (OPT) has become a powerful tool for biomedical phenotyping studies. OPT uses visible light to visualize the 3D morphology of large transparent samples. To enable a wider application of OPT, we present OptiJ, a low-cost, fully open-source OPT system capable of imaging large transparent specimens up to 13 mm tall ...
    • Developing a New Machine-Learning Algorithm for Estimating Chlorophyll-a Concentration in Optically Complex Waters: A Case Study for High Northern Latitude Waters by Using Sentinel 3 OLCI 

      Blix, Katalin; Li, Juan; Massicotte, Philippe; Matsuoka, Atsushi (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-09-04)
      The monitoring of Chlorophyll-a (Chl-a) concentration in high northern latitude waters has been receiving increased focus due to the rapid environmental changes in the sub-Arctic, Arctic. Spaceborne optical instruments allow the continuous monitoring of the occurrence, distribution, and amount of Chl-a. In recent years, the Ocean and Land Color Instruments (OLCI) onboard the Sentinel 3 (S3) A and B ...
    • Assessment of the RISAT-1 FRS-2 Mode for Oil Spill Observation 

      Skrunes, Stine; Brekke, Camilla; Espeseth, Martine M. (Peer reviewed; Chapter, 2017-12-04)
      Synthetic aperture radar data acquired by the Radar Imaging Satellite (RISAT-1) over experimental oil spills is here investigated. One quad-polarization scene in the Fine Resolution Alternate Polarization Stripmap (FRS-2) mode is analyzed to evaluate the potential of using this mode for oil spill observation.<br> Oil slicks of varying type and age are clearly detected in the HH and VV channels, with ...
    • Investigating the effect of class-imbalance on convolutional neural networks for angiodysplasia detection 

      Kaspersen, Oskar Anstein (Master thesis; Mastergradsoppgave, 2019-10-31)
      In this thesis, we look at a deep learning approach to AD detection and focus specifically on the problem of class imbalance, which arises from the fact that lesions only occupy a small part of the images, by analyzing how weighting of the loss function can help address this issue. Balancing the weights of the foreground and background class in the cost-function was found to be crucial to achieve ...
    • Dust observations with antenna measurements and its prospects for observations with Parker Solar Probe and Solar Orbiter 

      Mann, Ingrid; Nouzak, Libor; Vaverka, Jakub; Antonsen, Tarjei; Fredriksen, Åshild; Issautier, Karine; Malaspina, David; Meyer-Vernet, Nicole; Pavlu, Jiri; Sternovsky, Zoltan; Stude, Joan; Ye, Shengyi; Zaslavsky, Arnaud (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-12-10)
      The electric and magnetic field instrument suite FIELDS on board the NASA Parker Solar Probe and the radio and plasma waves instrument RPW on the ESA Solar Orbiter mission that explore the inner heliosphere are sensitive to signals generated by dust impacts. Dust impacts have been observed using electric field antennas on spacecraft since the 1980s and the method was recently used with a number of ...