Fakultet for naturvitenskap og teknologi: Nye registreringer
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Modelling of Snow Particle Settling Dynamics in Boundary Layer Turbulence: Evaluating Maxey-Riley and Reduced-Order Models with Nonlinear Drag
(Master thesis, 2025)Accurately modelling snow particle settling dynamics in the atmospheric boundary layer remains a fundamental challenge. These dynamics influence snowfall transport and ground snow accumulation which in turn impact hydrology, weather predictions, and climate modelling. While the foundational work of Maxey and Riley (1983), which introduced equations describing inertial particles in a fluid flow, has ... -
Kritisk infrastruktur i en usikker tid: organisasjoners respons på sammensatte trusler
(Master thesis, 2025)I møte med økt geopolitisk spenning, klimaendringer og et mer sammensatt trusselbilde har samfunnets kritiske infrastrukturer fått en tydeligere og forsterket betydning. Nordområdene har blitt særlig aktualisert, hvor det sikkerhetspolitiske fokuset er økende og kritisk infrastruktur som Ofotbanen fremstår som strategisk viktig og derav sårbar. Dette kommer tydelig frem i nasjonale trusselvurderinger ... -
Multidose i e-resept - Optimalisering av praksis basert på tilbakemeldinger fra helsepersonell
(Master thesis, 2025)Abstrakt Bakgrunn: Multidose i e-resept (eMD) er en digital helseløsning utviklet for å forbedre legemiddelhåndtering, pasientsikkerhet og samhandling i helsetjenesten. Til tross for dette viser praksis og forskning at løsningen fører med seg betydelige utfordringer ved implementering og bruk. Om lag 85 000 pasienter skal overføres fra papirmultidose til elektronisk multidose i løpet av de ... -
Desentrale lærings- og mestringstilbud- Effekten av et digitalt artrosekurs for pasienter på Helgeland
(Master thesis, 2025)SAMMENDRAG Bakgrunn Artrose er en vanlig kronisk leddsykdom og ofte årsak til smerte, funksjonsnedsettelse og redusert livskvalitet. Tilstanden rammer særlig eldre, og behovet for helse- og omsorgstjenester øker med alderen. I distriktsområder som Helgeland kan de geografiske forholdene gi utfordringer med å oppnå lik tilgang til helsetjenester og helsefaglig kompetanse. Desentrale lærings- og ... -
Preserving Privacy in Interactions with Large Language Models
(Master thesis, 2025)In this thesis we investigate the preservation of privacy in user interactions with Large Language Models (LLMs), focusing on transforming user queries to enhance privacy while maintaining the usability of answers. The research is contextualized within the FysBot mobile health application, which aims to motivate physical activity. The core problem addressed is the potential leakage of sensitive ... -
Hvordan samarbeider norske kommuner om beredskap knyttet til klimautfordringer? En kvalitativ studie
(Master thesis, 2025)Det er forventet at flere norske kommuner vil kunne oppleve negative konsekvenser, for eksempel økt nedbør, flom eller skred, som følge av klimaendringer. Disse konsekvensene er ikke ukjente for kommuner i Norge, og mange forbereder seg på å møte på et større utfordringsbilde i tiden fremover. Samtidig er norske kommuner ulike, de vil derfor ha ulike risikoer og forholde seg til, og behov for hvordan ... -
Hvordan kan faktorer og organisatoriske tiltak påvirke utviklingen av team-resiliens i Bergen brannvesen?
(Master thesis, 2025)Denne casestudien har som formål å belyse hvilke faktorer og organisatoriske tiltak som påvirker team-resiliens i Bergen brannvesen. Dette ble gjort med å stille følgende forskningsspørsmål «hvilke faktorer påvirker team-resiliensen?» og «hvordan legger Bergen brannvesen til rette, eventuelt ikke til rette, for at team skal bli mer resiliente?». Ved å kombinere teoretiske perspektiver, kvantitativ ... -
Sharing Airspace: The Future of Aviation
(Master thesis, 2025)In recent years, unmanned air traffic has increased substantially, leading to unprecedented pressure on airspace capacity. This development necessitates enhanced interaction among various airspace stakeholders, where coordinated efforts and mutual understanding are essential for establishing a safe and efficient shared airspace. The aim of this thesis is to explore the gaps that emerge in the ... -
Resilient food security in a time of climate change: A scenario analysis of ASKO NORD’s food supply chain management
(Master thesis, 2025)In an era of accelerating climate change, this thesis explores how Northern Norway´s food supply chain can strengthen its resilience through strategic scenario planning and adaptive measures. The study investigates both the short-term (10-year) and long-term (30-year) impacts of climate change on regional food logistics, using ASKO NORD as a case study. Drawing on resilience theory, the research ... -
Navigator Responses to Safety Challenges in Autonomous Maritime Systems
(Master thesis, 2025)Maritime transport is a critical pillar for both economic development and societal security, essential to national resilience, energy supply chains, and geopolitical stability. The prospective integration of Maritime Autonomous Surface Ships (MASS) into existing fleets creates complex mixed-autonomy environments where safe interaction is crucial to prevent accidents with severe consequences for the ... -
Human Factors and Their Impact on Situational Awareness in HEMS and HSAR Personnel: Liveware-Centered Perspectives from Norwegian Air Rescue and Medical Operations
(Master thesis, 2025)Loss of or absent situational awareness has previously been found to be a frequent cause in aviation accidents classified as Controlled Flight Into Terrain (CFIT). The research literature indicate a gap in the studies of human factors and situational awareness in helicopters, specifically in Helicopter Emergency Medical Services (HEMS) and Helicopter Search and Rescue (HSAR). This formed the incentive ... -
Artificial Intelligence in National Security Intelligence
(Master thesis, 2025)This thesis examines how artificial intelligence (AI) is being integrated into national intelligence work, focusing on operational practices, institutional dynamics, and ethical implications. It addresses three main research questions: How AI is being implemented in institutions such as the Central Intelligence Agency (CIA), how Ukrainian intelligence agencies apply AI in the context of full-scale ... -
Time-lapse seismic analysis and Synthetic Modeling of CO2 injection at the Snøhvit storage site in the SW Barents Sea
(Master thesis, 2025)Given substantial emissions of greenhouse gases, carbon capture and storage (CCS) plays an increasingly important role in efforts to reduce emissions. The Snøhvit CO2 injection project began in 2008 with injection into the Tubåen Formation through well F-2 H, which due to rapid pressure build-up was terminated in 2011 and moved to the shallower Stø Formation. A second injection well G-4H was drilled ... -
Polar Weather Modelling with Graph Neural Networks
(Master thesis, 2025)Accurately predicting wind speed is essential for assessing the viability of new offshore wind farm locations. However, forecasting wind patterns in regions such as the Norwegian Arctic presents significant challenges due to complex terrain and variable atmospheric conditions. Graph Neural Networks (GNNs), which are well-suited for learning from spatially structured and interconnected data, offer a ... -
SHAVER: Web-Optimized Lossy Compression for High-Resolution Unstructured GIS Datasets
(Master thesis, 2025)As Geographic Information Systems (GISs) increasingly migrate to the web, efficiently delivering high-resolution datasets for interactive visualization pre-sents a substantial challenge. In this thesis, we propose a shaver, a novel compression system tailored for Web-Based GIS platforms, combining unstructured grid simplification with state-of-the-art lossy floating-point compression. Building on ... -
Exploring the possibility of using a deep learning based pipeline for seal detection and classification from high-resolution optical satellite images
(Master thesis, 2025)In this thesis, we investigate the possibility of using a deep learning based pipeline for detection and classification of seals in high-resolution optical satellite images. The pipeline includes a seal detector which uses a UNet-3+ architecture and a clustering module for point level prediction, and an image level convolutional neural network (CNN) seal classifier. Areal images targeting the seal ... -
Reliable reduction of manual workload for oil spill detection in SAR images using uncertainty estimation and deep learning
(Master thesis, 2025)Marine oil spills require constant monitoring as they can cause severe environmental damage. Synthetic Aperture Radar (SAR) images are often used for oil spill detection, but they are complex and the analysis is a time-consuming process as there are a lot of areas to monitor. Therefore, the manual analysis of the images will inevitably lead to some errors. Deep learning models can be deployed for ... -
Enhancing Ship Bridge Design for Navigation Performance
(Master thesis, 2025)In recent decades, rapid technology implementation in ship bridges have raised concerns about their role in contributing to human error and maritime accidents. Critical gaps emerge in our understanding of the interplay with system factors and human performance within this dynamic context. Accident investigations often overlook technology-related factors, as it is assumed that operators are already ... -
Ungdomsskoleelevers generalisering i matematikk - En kvalitativ studie av 9. klassingers strategier i møte med mønsteroppgaver
(Master thesis, 2025)I denne masteroppgaven har jeg undersøkt hvordan elever på 9. trinn arbeider med matematisk generalisering gjennom å gi elever mønsteroppgaver. Resultater fra PISA 2022 viser at norske elever aldri har scoret lavere i PISA-undersøkelsen innen kunnskapsområdet matematikk og at en betydelig større andel norske elever presterer på lavt nivå i matematikk enn tidligere. Kun sju prosent av elevene havner ... -
Utforskende undervisning i matematikk: Tilpasset læring for alle elever – en kvalitativ studie med lærerperspektiv
(Master thesis, 2025)Masteroppgaven utforsker hvordan kreativitet og utforskende undervisningsmetoder kan benyttes i matematikkundervisningen på ungdomsskolen for å sikre at alle elever oppnår et godt læringsutbytte. Studien tar for seg hvordan fagfornyelsen fra 2020 legger større vekt på elevaktivitet og selvstendig utforskning. Oppgaven tar for seg to sentrale modeller for problemløsning: den analytiske modellen som ...