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The cybersecurity barrier management project aims to develop new knowledge and guidance to secure industrial control and safety systems against cyberattacks. With several threat actors targeting the petroleum sector, the number of publicly known cyberattacks is increasing, revealing a larger threat...

This paper presents two adaptive nonlinear controllers for robust velocity and heading control of a remotely operated vehicle (ROV) navigating in exposed aquaculture sites. The controllers are designed to enable autonomous traversal of an aquaculture net pen using a net-following guidance algorithm...

Ensuring software safety has become a paramount concern in modern software development, with the choice of programming language playing a crucial role. This paper investigates the role of Rust, a systems programming language, in enhancing software safety, with a specific focus on embedded...

This work investigates the properties of 3D imaging in turbid water in context of being able to precisely remove false 3D measurements that are a result of scattering. Such false measurements make object boundaries highly uncertain and limit the usefulness of 3D data. The work is motivated by a need...

Professor Morten Goodwin har undersøkt strømforbruket til vanlige KI-søk. Han mener teknologien feilaktig blir omtalt som miljøversting, men møter motstand....

As ocean observational systems expand their spatiotemporal coverage and models in ocean forecasting systems grow more complex and simulate at higher resolutions, the computational cost of assimilating observations using tools such as the Ensemble Kalman Filter increases, and at the finest model grid...

Direct fuelling of solid oxide fuel cells with ammonia is attractive but can lead to reduced stack durability due to nitridation of the metallic interconnect material. This works investigates the stability of the interconnect material Crofer 22 APU in ammonia-containing atmosphere and evaluates the...

This study explores how safety performance is measured and applied by clients and contractors in the Norwegian construction industry. Addressing a knowledge gap, where prescriptive models dominate over empirical insights, it explores how safety performance is interpreted and applied in practice. A...

Quantum extreme learning machines (QELM) is a framework for quantum machine learning which aims to leverage the high dimensionality of the Hilbert space of a quantum reservoir to construct a rich feature map of classical data inputs. There are promising results mostly obtained on ideal simulators...

Foreword. This report is a Summary Guideline for development of coastal infrastructure in cold climate and is prepared within the SFI Sustainable Arctic Marine and Coastal Technology (SAMCoT). The Summary Guideline follows the structure of a more comprehensive Technical Guideline established within...

I Norge produseres det årlig nesten 300 000 tonn fiskeslam fra landbaserte oppdrettsanlegg. I dag blir dette sett på som problematisk avfall som fører til forurensing av naturen. Men, kan det fungere som en ressurs i fremtidens fôrsystemer? Dette var utgangspunktet for prosjektet ALGESIRK, hvor vi...

Nordmenn bryr seg om havet, men få kjenner ansvar for å ta vare på det. Skal vi lykkes med å ta vare på vår viktigste ressurs og klimatermostat, må alle forstå havet bedre....

This study uses life cycle assessment (LCA) and multi-region input-output (MRIO) models to evaluate the impact of material sourcing routes on the carbon footprint and ESG risks for producing NMC 622 batteries. A baseline scenario, with battery production and material sourcing in China, is compared...

Rapporten vurderer hvordan endringer i fiskeriregelverket kan redusere klimagassutslipp fra den norske fiskeflåten. Drivstofforbruk er hovedkilden til utslipp, og dagens klimavirkemidler – særlig CO₂‑avgift og innblandingskrav til biodrivstoff – gir liten effekt, blant annet fordi fartøy kan...