Blar i tittel Mastergradsoppgaver i teknologi - anvendt fysikk

Viser treff 5-24 av 67

    • A Classification Strategy for Multi-Sensor Remote Sensing Data. An analysis and implementation of Meta-Gaussian classification schemes 

      Kvamme, Arja Beate (Master thesis; Mastergradsoppgave, 2017-08-18)
      In integrated remote sensing, one of the objectives is to create reliable services by combining information from various data sources. The combination of multiple data sources is often denoted "data fusion", and is a topic that has high interest in remote sensing applications. In this thesis, we devise a classification strategy for multi-sensor remote sensing data, based on the strategy presented ...

    • A compact portable resonance probe system for in situ measurements of snow conditions 

      Reistad, Jakop (Master thesis; Mastergradsoppgave, 2018-01-31)
      A resonance probe for measuring the dielectric properties of snow in terms of the resonance frequency is described and tested. The dielectric properties of snow are closely related to the density and the water content in snow. Having a probe capable of measuring the dielectric properties is therefore a useful tool for anyone working with quantitative descriptions of snow properties. In situ measurements ...

    • Comparing SAR measurments of natural oil seeps in the Gulf of Mexico with mineral and biological slicks in the North Sea 

      Hanssen, Claes Anders Storm (Master thesis; Mastergradsoppgave, 2013)
      In this thesis, natural oil seeps in Synthetic Aperture Radar (SAR) images are studied. The intension is to compare seeps to known oil slicks as emulsion-oil, crude-oil and plant-oil. TerraSAR-X and Radarsat-2 data with these di erent slicks are analyzed. Polarimetric features are extracted for all the scenes, histograms and scatterplots of values from the slicks are evaluated. Finally a ...

    • 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. ...

    • ConvMixerSeg: Weakly Supervised Semantic Segmentation for CT Liver Images 

      Joakimsen, Harald Lykke (Mastergradsoppgave; Master thesis, 2021-12-17)
      The predictive power of modern deep learning approaches is posed to revolutionize the medical imaging field, however, their usefulness and applicability are severely limited by the lack of well annotated data. Liver segmentation in CT images is an application that could benefit particularly well from less data hungry methods and potentially lead to better liver volume estimation and tumor detection. ...

    • Correction Strategies for Breathing Induced Motion in PET Images 

      Bakkevoll, Stian (Master thesis; Mastergradsoppgave, 2019-06-03)
      Breathing induced motion highly impacts the quality of PET images. Motion blur impacts important parameters such as standardised uptake value (SUV) and lesion volume. To be able to stage lung cancer correctly, and provide correct treatment, the impact of motion needs to be reduced. There exists techniques to combat the breathing motion, such as elastic motion correction and gating strategies. ...

    • Deep Image Clustering with Tensor Kernels and Unsupervised Companion Objectives 

      Trosten, Daniel Johansen (Master thesis; Mastergradsoppgave, 2019-05-31)
      Deep image clustering is a rapidly growing branch of machine learning and computer vision, in which deep neural networks are trained to discover groups within a set of images, in an unsupervised manner. Deep neural networks have proven to be immensely successful in several machine learning tasks, but the majority of these advances have been in supervised settings. The process of labeling data for ...

    • Deep Learning of Oriented Bounding Box Regression Networks for Ship Detection in Optical Satellite Images 

      Sandland, Åsmund Mikael (Master thesis; Mastergradsoppgave, 2020-05-31)
      Maritime surveillance is important for management of maritime traffic and to prevent activities like illegal fishing, hazardous cargo transportation, piracy, and smuggling of goods and humans. Remote sensing is frequently used for positioning vessels that are not transmitting via the Automatic Identification System (AIS). Modern optical remote sensing instruments provide high-resolutional imagery, ...

    • Deep Representation-aligned Graph Multi-view Clustering for Limited Labeled Multi-modal Health Data 

      Grimstad, Erland (Mastergradsoppgave; Master thesis, 2022-06-01)
      Today, many fields are characterised by having extensive quantities of data from a wide range of dissimilar sources and domains. One such field is medicine, in which data contain exhaustive combinations of spatial, temporal, linear, and relational data. Often lacking expert-assessed labels, much of this data would require analysis within the fields of unsupervised or semi-supervised learning. Thus, ...

    • Design and experimental investigation of charge amplifiers for ultrasonic transducers 

      Hansen, Svein Kristian Esp (Master thesis; Mastergradsoppgave, 2014-06-02)
      Amplifiers are used in all types of electrical circuits to boost signal and there is a huge variety in designs used for different applications. For ultrasonic applications our group has previously used commercial available transimpedance amplifiers that converts a current to a voltage, but these amplifiers have a linear response over its frequency range. To preserve as much information as ...

    • Design, implementering og evaluering av et trådløst medisinsk radiometer basert på IEEE 802.15.4-standarden og Zigbee. 

      Johansen, Amund Kronen (Master thesis; Mastergradsoppgave, 2009-06-01)
      Brystkreft er den vanligste kreftformen for kvinner og overlevelsesraten er betydelig høyere ved tidlig deteksjon. De vanligste undersøkelsesmetodene (mammografi, ultralyd, MRI) er basert på aktive metoder som medfører en viss strålingsfare. Et enkelt, ikke-invasivt instrument som baserer seg på passive metoder er derfor motivasjonen for denne masteroppgaven. Oppgaven beskriver en konseptuell ...

    • Estimering av dempingskoeffisienter i elastiske materialer ved hjelp av bredbåndet ultralyd 

      Ali, Josoph Abuker (Master thesis; Mastergradsoppgave, 2009-07-01)
      Dette er en eksperimentell oppgave der et bredbåndet ultralydsystem er brukt til å undersøke hvordan dempingen av ultralydbølger i elastiske materialer, avhenger av frekvensen. For å gjøre denne undersøkelsen ble det utviklet en holder i pleksiglass med en ultralydtransduser på hver side. I denne holderen kan prøver av ulike materialer lett festes og undersøkes ved at holderen plasseres i et vannbad. ...

    • Estimering av egenskaper til naturlige klasser i radarbilder med en blandingsmodell 

      Moe, Åse Mari (Master thesis; Mastergradsoppgave, 2018-05-31)
      I løpet av de siste årene har isdekket i polhavet gått fra å være flerårsis til å bli en sesongbasert istype. Hvordan isen utvikler seg på sommeren vil avhenge av smeltevannandelen, blant annet på grunn av at smeltevannet har mindre albedo enn isen. For å estimere andelen smeltevann er det i denne oppgaven utviklet flere metoder som kan brukes på satellittbilder. Disse metodene bruker en statistisk ...

    • Experimental and numerical estimation of ultrasonic attenuation in polymers based on wave transmission methods 

      Grimstad, Trude (Master thesis; Mastergradsoppgave, 2013-07-01)
      PI-film, also known as Kapton, is a widely used polymer in the production of electronic equipment. Its use in printed circuit boards and sensors is increasing. It is therefore important to have knowledge about ultrasonic attenuation in the polymer. The main goal of this thesis was to investigate the attenuation of ultrasound through different polymers with different thicknesses. The presentation ...

    • Exploring the Behavior of Open-Source Diffusion Model Inpainting Algorithms 

      Halvorsen, Vebjørn (Master thesis; Mastergradsoppgave, 2023-01-26)
      The present study aimed to examine the performance of an open-source diffusion model inpainting algorithm under varying conditions of inpainting strength and mask radius. However, the results obtained were unexpected and raise significant concerns. Our findings indicate that the algorithm not only modifies the pixels within the designated mask, as intended, but also alters pixels out side of the ...

    • Extracting Information from Multimodal Remote Sensing Data for Sea Ice Characterization 

      Nilsen, Torjus (Mastergradsoppgave; Master thesis, 2021-06-01)
      Remote sensing is the discipline that studies acquisition, preparation and analysis of spectral, spatial and temporal properties of objects without direct touch or contact. It is a field of great importance to understanding the climate system and its changes, as well as for conducting operations in the Arctic. A current challenge however is that most sensory equipment can only capture one or fewer ...

    • Fluid-Thermal properties of electromagnetic heated water boli used in thermal treatment of superficial cancer 

      Martínez, Enrique de la Cruz (Master thesis; Mastergradsoppgave, 2007-06-15)
      Hyperthermia treatment (tissue heating up to 42-45 ºC) based on microwave applicators always uses a temperature controlled coupling medium consisting of deionized water. The bolus prevents blisters in the skin and acts as an impedance matching layer for the electromagnetic energy between the antenna and the treatment volume. Little is known whether practically realizable water flow-rates and other ...

    • Improved hardware stability and signal amplification in a medical microwave radiometer 

      Tobiassen, Alexander (Master thesis; Mastergradsoppgave, 2010-10-27)
      Breast cancer is one of the most frequent types of cancer in the female population today. Modern diagnostic modalities, while proven to be helpful within large scale screening programs, are inherently limited with regards to specificity and sensitivity, and use active methods for acquisition of information. A passive and non-invasive method for detection and diagnostic purposes could therefore be a ...

    • Imputation and classification of time series with missing data using machine learning 

      Dretvik, Vilde Fonn (Mastergradsoppgave; Master thesis, 2021-06-21)
      This work is about classifying time series with missing data with the help of imputation and selected machine learning algorithms and methods. The author has used imputation to replace missing values in two data sets, one containing surgical site infection (SSI) data of 11 types of blood samples of patients over 20 days, and another data set called uwave which contain 3D accelerometer data of several ...

    • Inference Guided Few-Shot Segmentation 

      Burman, Joel (Master thesis; Mastergradsoppgave, 2022-06-22)
      Few-shot segmentation has in recent years gotten a lot of attention. The reason is its ability to segment images from classes based on only a handful of labeled support images. This opens up many possibilities when the need for a big dataset is removed. To do this a few-shot segmentation network need to extract as much quality information from each support image as possible. In this thesis we ...