Faculty of Science and Technology: Recent submissions
Now showing items 361-380 of 7322
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Hydrogen Safety Considerations: Mitigating Risks and Securing Operations in Enclosed Spaces
(Peer reviewed; Journal article, 2023)The increased interest in hydrogen as a versatile and environmentally friendly energy carrier has led to its recognition as a potential solution for addressing environmental concerns and challenges associated with transitioning ... -
Enabling long cycle life lithium-ion capacitors through electrode-electrolyte interface optimization
(PhD thesis UiS;749, Doctoral thesis, 2024)Electrode-electrolyte interfaces in electrochemical cells represent critical boundaries between the electrode and electrolyte where most charge transfer or storage processes are initiated. Accordingly, the interface ... -
StreamLit based web user interface for NVIDIA Sionna based 6G Physical-Layer Simulation
(Master thesis, 2023)This thesis presents the development of a web-based user interface for the NVIDIA Sionna-based 6G Physical-Layer Simulation, leveraging the Streamlit framework. The primary objective of this project is to create an accessible, ... -
Dynamic Analysis of Floating Dock Operations with Corrosion-induced Holes at Ballast Tanks
(Master thesis, 2023)The corrosion at the ballast tanks is a concern risk for floating docks that have been in service for several decades. Corrosion events can result in severe accidents and huge economic costs. To migrate the corrosion risk, ... -
Prediction of Optimal Production Time during Underground CH4 Storage with Cushion CO2 Using Reservoir Simulations and Artificial Neural Networks
(Peer reviewed; Journal article, 2023)Injection of carbon dioxide (CO2) in aquifers for underground natural gas storage (UNGS) can improve the operating efficiency of the storage facility during gas injection and production and later serve as a solution for ... -
Day-ahead optimal scheduling of micro gas turbine-based microgrid considering electricity and heating energy
(Peer reviewed; Journal article, 2023)Microgrids are considered as the crucial element in the integration of various distributed energy resources in buildings. They are capable of operating in both grid-connected and islanded mode and have shown immense potential ... -
Spectroscopy for asymmetric binary black hole mergers
(Peer reviewed; Journal article, 2023)Black hole spectroscopy is the proposal to observe multiple quasinormal modes in the ringdown of a binary black hole merger. In addition to the fundamental quadrupolar mode, overtones and higher harmonics may be present ... -
Process parameter modelling and optimization techniques applied to fused deposition modelling: A review
(Peer reviewed; Journal article, 2023)Manufacturing is the foundation of any industrialized country and involves making products from raw materials using various processes. Additive manufacturing (AM) was originally created as a method for swift prototyping, ... -
Product forms and price transmission in major European salmon markets
(Peer reviewed; Journal article, 2023)Product development is often an important component in increasing demand for successful aquaculture species. However, this topic has not received much attention due to limited data availability. In this paper, we investigate ... -
Multimode Quasinormal Spectrum from a Perturbed Black Hole
(Peer reviewed; Journal article, 2023)When two black holes merge, the late stage of gravitational wave emission is a superposition of exponentially damped sinusoids. According to the black hole no-hair theorem, this ringdown spectrum depends only on the mass ... -
Assessment of awareness levels towards additive manufacturing best practices in transforming traditional manufacturing: A case study in Ethiopian context
(Peer reviewed; Journal article, 2023)The main objective of this study is to assess the awarness levels of acadamic staffs and industry experts towards the best practices of additive manufacturing (AM) in transforming traditional manufacturing (TM) in local ... -
Selection of Optimal Well Trajectory Using Multi-Objective Genetic Algorithm and TOPSIS Method
(Peer reviewed; Journal article, 2023)This study presents a novel approach for optimizing well paths in extended reach drilling (ERD) wells. Different trajectories can be used for ERD wells, each with its pros and cons. Previous research overlooked certain ... -
Phosphonated Polyetheramine-Coated Superparamagnetic Iron Oxide Nanoparticles for Inhibition of Oilfield Scale
(Peer reviewed; Journal article, 2023)Oilfield scale is one of the significant problems in hydrocarbon production in the oil and gas industry. Many research groups have attempted to develop greener chemicals to meet environmental regulations. Magnetic nanoparticles ... -
Self-reported sleep fragmentation and sleep duration and their association with cognitive function in PROTECT, a large digital community-based cohort of people over 50
(Peer reviewed; Journal article, 2023)Objective Sleep is vital for normal cognitive function in daily life, but is commonly disrupted in older adults. Poor sleep can be detrimental to mental and physical health, including cognitive function. This study assessed ... -
Effects of Nanoparticles on the Neat Geopolymer: Experimental, Economic and Environmental Impact Studies
(Master thesis, 2023)In the oil and gas industry, cement is used for well construction and plug abandonment operations acting as a barrier element. According to NORSOK D-10, the well should be designed to control undesired flow from the reservoir ... -
Machine Learning-Based Analysis of Test Results
(Master thesis, 2023)A comprehensive understanding of the overall performance of the tests is critical in software testing to make necessary adjustments to the test schedule or conduct targeted investigations. In ABB Bryne, the software testing ... -
Improved delayed detached eddy simulations of flow past an autonomous underwater helicopter
(Peer reviewed; Journal article, 2023)To achieve good control of an autonomous underwater helicopter (AUH), it is of great significance to study its hydrodynamic quantities. In the present study, hydrodynamic analysis of a disk-shaped AUH is carried out by ... -
Learning Parameterized ODEs From Data
(Peer reviewed; Journal article, 2023)In contemporary research, neural networks are being used to derive Ordinary Differential Equations (ODEs) from observations. However, parameterized ODEs pose a more significant challenge than non-parameterized ODEs since ... -
Thermalization of weakly coupled non-Abelian plasmas at next-to-leading order
(Peer reviewed; Journal article, 2023)We employ the QCD kinetic theory, including next-to-leading(NLO) order corrections in coupling constant, to study the evolution of weakly coupled non-Abelian plasmas towards thermal equilibrium. For two characteristic ...