Viser treff 461-480 av 5336

    • Iceberg Detection for Arctic Operations - A Comparison of C- and L-band Wide-Swath SAR 

      Færch, Laust (Doctoral thesis; Doktorgradsavhandling, 2024-09-13)
      The accurate detection and mapping of icebergs in the Arctic is important for the safety of maritime traffic and offshore infrastructure and for monitoring the health of marine-terminating glaciers. Synthetic Aperture Radar (SAR) images from satellites have proven to be a useful tool for Arctic monitoring, and C-band SAR images are currently used for operational iceberg monitoring in selected ...
    • Leveraging Explainability Maps for Group-unsupervised Robustness to Spurious Correlations 

      Sletten, Adrian Henrik de Sena (Master thesis; Mastergradsoppgave, 2023-08-22)
      Shortcut learning, the tendency for models to rely on spurious correlations, is a widespread issue in deep learning. Although being a known issue, uncovering the shortcuts present in a dataset can be a difficult task. Over the last few years, explainability methods have been leveraged to find previously unknown shortcuts within mainstream datasets. However, how to best mitigate a model’s reliance ...
    • Taxonomy of hybridly polarized Stokes vortex beams 

      Arora, Gauri; Butola, Ankit; Rajput, Ruchi; Agarwal, Rohit; Agarwal, Krishna; Horsch, Ludwig Alexander; Prasad, Dilip Kumar; Senthilkumaran, Paramasivam (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-15)
      Structured beams carrying topological defects, namely phase and Stokes singularities, have gained extensive interest in numerous areas of optics. The non-separable spin and orbital angular momentum states of hybridly polarized Stokes singular beams provide additional freedom for manipulating optical fields. However, the characterization of hybridly polarized Stokes vortex beams remains challenging ...
    • Tidal and seasonal influence on cold seep activity and methanotroph efficiency in the North Sea 

      de Groot, Tim R.; Menoud, Malika; van Bleijswijk, Judith; Niemann, Helge (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-06-12)
      The ocean’s methane emission to the atmosphere is dominated by continental shelves where cold seeps are globally common features. Seeps emit methane into the hydrosphere, but temporal variations and controls of seep activity and the efficiency of the microbial methane filter in the water column are scarce. Here we address these knowledge gaps by measuring whole water column methane inventories and ...
    • Unravelling controls on multi-source-to-sink systems: A stratigraphic forward model of the early–middle Cenozoic of the SW Barents Sea 

      Lasabuda, Amando; Chiarella, Domenico; Sømme, Tor Oftedal; Grundvåg, Sten-Andreas; Dore, Anthony G.; Primadani, Grandika; Rydningen, Tom Arne; Laberg, Jan Sverre; Hansen, Alfred (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-07-10)
      Source-to-sink dynamics are subjected to complex interactions between erosion, sediment transfer and deposition, particularly in an evolving tectonic and climatic setting. Here we use stratigraphic forward modelling (SFM) to predict the basin-fill architecture of a multi-source-to-sink system based on a state-of-the-art numerical approach. The modelling processes consider key source-to-sink parameters ...
    • Glacial troughs as centres of organic carbon accumulation on the Norwegian continental margin 

      Diesing, Markus; Paradis, Sarah; Jensen, Henning; Thorsnes, Terje; Bjarnadóttir, Lilja Rún; Knies, Jochen Manfred (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-06-15)
      The role of continental margin sediments in the carbon cycle and the associated management potential for climate mitigation are currently poorly understood. Previous work has indicated that margin sediments store significant amounts of organic carbon, but few studies have quantified the rates at which organic carbon is accumulated. Here, we use machine learning to make spatial predictions of the ...
    • Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea 

      Serov, Pavel; Andreassen, Karin Marie; Winsborrow, Monica Caroline Mackay; Mattingsdal, Rune; Patton, Henry Jared (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-07-11)
      Due to tectonic uplift in the Cenozoic and numerous shelf-wide glaciations during the Quaternary, ∼1–2.5 km of sedimentary overburden has been eroded from the Barents Sea shelf, leading to the exhumation and partial uncapping of hydrocarbon accumulations. Widespread natural gas and oil leakage from the glacially eroded middle-upper Triassic reservoir directly into the water column has been documented ...
    • Abrupt increase in Greenland melt enhanced by atmospheric wave changes 

      Graversen, Rune Grand; Heiskanen, Tuomas Ilkka Henrikki; Bintanja, Richard; Goelzer, Heiko (Journal article; Tidsskriftartikkel, 2024-05-25)
      Recent Greenland ice-sheet melt constitutes a considerable contribution to global sea-level rise. Observations indicate an approximate zero mass balance of the ice sheet until the late 1990s, after which a strong increase in melting occurred. This cannot be attributed linearly to gradually-increasing global warming. Instead the abrupt shift has been linked to atmospheric circulation changes, although ...
    • Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM Processor 

      Khan, Mohsin; Dagenborg, Håvard Johansen; Johansen, Dag (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-07-25)
      In resource-intensive Internet of Things applications, Lightweight Stream Ciphers (LWSCs) play a vital role in influencing both the security and performance of the system. Numerous LWSCs have been proposed, each offering certain properties and trade-offs that carefully balance security and performance requirements. This paper presents a comprehensive evaluation of prominent LWSCs, with a focus on ...
    • Propagating information like waves in GNNs 

      Antonsen, Tobias S. Myrmel (Master thesis; Mastergradsoppgave, 2024-05-31)
      Various deep learning architectures are appearing in the field of machine learning with the goal of being able to handle various types of data, or solving inherent problems within the networks. In this thesis, we propose the idea of creating architectures based on physics partial differential equations (PDEs), where we transfer the known properties of PDEs as a method of introducing inductive bias ...
    • Bruk av solceller i rehabilitering av gjenreisningsboliger i Nord-Norge – et klimaperspektiv 

      Pedersen, Jonas (Master thesis; Mastergradsoppgave, 2024-05-31)
      Denne masteroppgaven utforsker potensialet for solceller i rehabilitering av gjenreisningsboliger i Nord-Norge gjennom en detaljert livssyklusanalyse (LCA) for å evaluere miljøpåvirkningen av solskifertak sammenlignet med tradisjonelle skifertak. Ved hjelp av modellering i PVsyst v6.88, ble energiproduksjonen for et system på 11m2 med nominell ytelse 1.4 kW simulert og effekten av viktige ...
    • Integration of programming in Norwegian schools: The effects of prior programming experience on students in a university-level programming course 

      Eide, Thomas Vatne (Master thesis; Mastergradsoppgave, 2024-06-03)
      In 2020 a curriculum renewal in Norway integrated programming into multiple subjects at both elementary schools and upper secondary schools. This was done with the hopes of improving deep learning and introducing computational thinking to pupils attending the schools. Some criticism has been raised against the decision, with some declaring that this will hurt deep learning and that programming is ...
    • AquaTrace: Secure Federated Identifiers for Product Tracing using Blockchain 

      Hageli, Henning (Master thesis; Mastergradsoppgave, 2024-05-31)
      This thesis proposes a secure and resilient system for generating and managing unique identification number series for tracing food products within the Norwegian fishing industry, without relying on a central authority. Given the context of mutual mistrust among stakeholders and the threat of hostile entities, this project proposes a blockchain-based solution to ensure the uniqueness and security ...
    • Hvordan påvirker immigrasjon sikkerheten i samfunnet 

      Theodorsen, Simon (Master thesis; Mastergradsoppgave, 2024-06-01)
      De siste årene har immigrasjon til europeiske og vestlige land økt kraftig, og vil bare fortsette å øke i tiden fremover. En stor tilstrømming av mennesker, legger press på samfunnet som mottar immigrantene. Hvordan kan immigrantene inkluderes i et nytt samfunn, samtidig som vertslandets kultur, identitet, institusjoner og verdier beskyttes. En endring i samfunnets befolkningssammensetning, bidrar ...
    • AI Chatbots in Health: Implementing an LLM-Based Solution to Promote Physical Activity 

      Løvås, Sondre Elvebakken (Mastergradsoppgave; Master thesis, 2024-06-16)
      With the emergence of powerful generative AI models comes the possibility of creating knowledgeable and engaging chatbots, which have the potential to significantly enhance several areas of the user’s life. This thesis focuses on the design and implementation of FysBot, an application with an integrated chatbot that aims to increase the user’s physical activity levels. In collaboration with a PhD ...
    • Evaluating Continuous End-to-End Communication at Sea with Multi-Hop MANET Routing, Using AIS Data 

      Nohr, Øyvind Arne Moen (Mastergradsoppgave; Master thesis, 2024-06-03)
      The marine sector has unique and challenging problems supporting high bandwidth, low-latency internet connectivity, often unavailable or only avail able through satellite services. Multi-hop manets that utilise low-cost com modity hardware potentially offer a cost-effective solution compared to satellite services but come with their own limitations. This thesis is motivated by the need for reliable ...
    • Haddock: A Smart-Contract Command Bus for the Fishing Industry 

      Steinholt, Sivert Jakob (Mastergradsoppgave; Master thesis, 2024-06-02)
      The global fishing industry, a critical food source, faces significant challenges due to criminal activities such as illegal fishing and over-exploitation. Traditional surveillance methods can be susceptible to tampering and cannot fully ensure the integrity of recorded events. This thesis introduces Haddock, a shared, distributed logging system leveraging a two-phase dissemination protocol and the ...
    • Fault-Tolerant Distributed Declarative Programs 

      Jörg, Moritz (Mastergradsoppgave; Master thesis, 2024-06-02)
      In our increasingly interconnected digital landscape, the constant generation and consumption of data on various computing devices present challenges for ensuring constant accessibility, particularly in intermittent network scenarios. The emerging focus on distributed systems is aimed at not only managing substantial data volumes but also guaranteeing storage on devices for low latency and high ...
    • A Data Gathering System for the Arctic Tundra 

      Larsen, Jørgen Aleksander (Mastergradsoppgave; Master thesis, 2024-06-02)
      Climate change has emerged as an important topic over the past decade, and one of the areas most susceptible to change is the Arctic Tundra. Monitoring the environment features a variety of challenges; it’s remote location, manual monitoring equipment and required permission to depart on expeditions. A solution to this is the use of a wireless sensor network to allow more automatic gathering ...
    • Predicting the Destination Port of Fishing Vessels 

      Løvland, Andreas Berntsen (Mastergradsoppgave; Master thesis, 2024-06-02)
      Regulating the catch of fishing vessels is crucial for maintaining sustainable fish populations, preventing illegal fishing, and ensuring the quality of the fish being delivered. One effective method of controlling the catch is to have controllers physically present at the port where the catch is being delivered. However, vessels do not always report their destination port in a timely manner, which ...