Blar i tittel Mastergradsoppgaver i teknologi - anvendt fysikk

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    • Segmentation and Unsupervised Adversarial Domain Adaptation Between Medical Imaging Modalities 

      Strauman, Andreas Storvik (Master thesis; Mastergradsoppgave, 2019-07-13)
      Segmenting and labelling tumors in multimodal medical imaging are often vital parts of diagnostics and can in many cases be very labor intensive for clinicians. The effort in advancing time-saving methods in the medical health sector might be of great help for busy clinicians and can maybe even save lives. Furthermore, creating methods that generically, accurately and successfully process unlabelled ...

    • Semi-supervised Classification using Kernel Entropy Component Analysis and the LASSO. 

      Myhre, Jonas Nordhaug (Master thesis; Mastergradsoppgave, 2011-12-15)
      In this thesis we present a new semi-supervised classification technique based on the Kernel Entropy Component Analysis (KECA) transformation and the least absolute shrinkage selection operator (LASSO). The latter is a constrained version of the least squares classifier. Traditional supervised classification techniques only use a limited set of labeled data to train the classifier, thus leaving ...

    • Sensitivity analysis of Gaussian process machine learning for chlorophyll prediction from optical remote sensing 

      Blix, Katalin (Master thesis; Mastergradsoppgave, 2014-05-30)
      The machine learning method, Gaussian Process Regression (GPR), has lately been introduced for chlorophyll content mapping from remotely sensed data. It has been shown that GPR has outperformed other machine learning and empirical methods in accuracy, speed and stability. Moreover, GPR not only estimates the chlorophyll content, it also provides the certainty level of the prediction, allowing the ...

    • Snow Stratigraphy Measurements With UWB Radar 

      Jenssen, Rolf-Ole Rydeng (Master thesis; Mastergradsoppgave, 2016-12-14)
      The focus of this thesis is to find and verify a non-invasive method to determine the layer distribution (stratigraphy) in snowpacks, which might aid avalanche risk assessment. Slab avalanches release due to failure and collapse in a weak snow layer. Determining the spatial distribution and depth of weak layers in avalanche starting zones is a high-risk task. Moreover, by manually digging snow ...

    • Speckle filtering of Polarimetric SAR data 

      Anzilotti, Stefano (Master thesis; Mastergradsoppgave, 2017-06-17)
      In the field of Remote Sensing the main device, used to obtain the surface images, are the so-called Synthetic Aperture Radar. This systems are devices able to catch high-resolution images, which keep peculiar informations about the observed surface. Through the use of a Radar, mounted on board of a spaceborne or airborne vehicle, large overflow areas are electromagnetically radiating. The ...

    • Temperaturmåling på optiske bølgeledere 

      Andreassen, Jon (Master thesis; Mastergradsoppgave, 2007-06)
      Oppgaven omhandler målemetoder og problemstillinger i forhold til temperaturmåling på optiske bølgeledere

    • Tidsreversert fokusering av ultralyd i sylindriske bølgeledere 

      Færsnes, Torjus (Master thesis; Mastergradsoppgave, 2008-06)
      I denne oppgaven ser vi nærmere på fenomenet tidsreversert fokusering som kan benyttes til å fokusere et signal i tid og rom. Mulighetene for tidsreversering er mange og prinsippet kan benyttes generelt ved overføring av både akustiske, elektromagnetiske og andre bølgeformer, der det er liten dempning av signalet under overføringen. I korthet går tidsreversering ut på å få en bølge som går fra et ...

    • Time and temperature control of a camera 

      Kristiansen, Anders (Master thesis; Mastergradsoppgave, 2010-07-13)
      In scientific experiments there are an increasing usage of cameras, along with other instruments, to observe parameters of physical processes. In this thesis, we will discuss how a microcontroller (ATMEL ATmega 324 PA) can be used to control the operation temperature in a camera. It will be discussed why this control of temperature can be useful for the quality of the pictures. Since this thesis is ...

    • Towards automation in the fish processing industry using machine learning 

      Henriksen, Jostein (Master thesis; Mastergradsoppgave, 2023-04-11)
      This master project was inspired by challenges faced by commercial fisheries in the north of Norway of controlling food quality and food safety. In this thesis, four different ML models’ ability to do object and keypoint detection on specific anatomy parts of fish, has been studied. With the aim of recommending a suitable model to be part of a CV system for an industrial fish gutting machine that ...

    • Towards population counting of marine mammals based on drone images 

      Røkenes, Sigurd (Mastergradsoppgave; Master thesis, 2022-07-11)
      In marine science, there is a need for tools for population counting of species. Through this thesis we aim to achieve the follow three objectives: first, briefly discuss the state-of-the-art object detectors that can be used for the detection of porpoises in drone images/videos. Second, test and compare a few stateof-the-art object detectors in both quantitative and qualitative manner. Third, based ...

    • Ultrasound sensor for biomedical applications 

      Øberg, Helge (Master thesis; Mastergradsoppgave, 2011-12-15)
      Vesicoureteral reflux (VUR) is an abnormality that causes urine to flow back from the bladder to the kidneys, which may cause renal scarring and kidney damage. A non-ionizing and non-invasive VUR diagnostic technique, based on microwave hyperthermia, is under development. The possibility for improved hyperthermia efficiency and patient safety through implementation of ultrasound transducers is the ...

    • Unsupervised segmentation of submarine recordings 

      Kjøtrød, Tor (Mastergradsoppgave; Master thesis, 2023-06-01)
      The thesis focuses on the unsupervised segmentation of submarine recordings collected by the Norwegian Polar Institute (NPI) using hydrophones. These recordings consists of various mammal species, along with other phenomena like vessel engines, seismic activity, and moving sea ice. With sparse labeling of the data, a supervised learning approach is not feasible, necessitating the application of ...

    • Validating Uncertainty-Aware Virtual Sensors For Industry 4.0 

      Mohammad, Gutama Ibrahim (Mastergradsoppgave; Master thesis, 2022-01-26)
      In industry 4.0 manufacturing, sensors provide information about the state, behavior, and performance of processes. Therefore, one of the main goals of Industry 4.0 is to collect high-quality data to realize its business goal, namely zero-defect manufacturing, and high-quality products. However, hardware sensors cannot always gather quality data due to several factors. First, industrial 4.0 deploys ...

    • Videoanalyse av termo-fluidale egenskaper til bolus for bruk innen hypertermisk behandling av brystkreft 

      Kvitberg, Jill-Iren Karlsen (Master thesis; Mastergradsoppgave, 2008-09-15)
      Varmeterapi (hypertermi) er en ny behandlingsmetode for krefttyper som ligger overfladisk plassert i kroppen. Prinsippet består i å varme opp vev til en temperatur på 42-45 ̊C, noe som øker raten for celledød i vevet. En multilags likeformet applikator er utviklet spesielt for dette formålet. En av bestanddelene i denne applikatoren er vannbolusen. Dens hensikt er å sørge for kontrollert temperatur ...

    • Wideband Self-Interference Cancellation Using Multi-Tap Filter in Radar Front End 

      Heiskel, Bendik (Mastergradsoppgave; Master thesis, 2020-12-14)
      The largest hurdle in full duplex wireless systems is the self-interference introduced by the transmitted signal into the received signal. In multi antenna systems this interference is caused by the direct coupling between the transmitting and receiving antennas. In systems where the transmitter and receiver uses the same antenna the interference is caused by inadequate isolation between the ...

    • Wind resource assessment using mesoscale modelling. A case study at the potential wind farm site Rieppi 

      Blæsterdalen, Torgeir (Master thesis; Mastergradsoppgave, 2016-06-01)
      The growing wind power industry, increased occurrence of extreme weather, and the need for becoming independent of fossil fuels motivate the research on accurate simulation of near-surface wind. The aim of this study is wind resource assessment at the potential wind park site Rieppi, using two on-site measurement masts, simulations from the Weather Research and Forecasting (WRF) model, and ERA-Interim ...