Faculty of Engineering and Science: Recent submissions
Now showing items 581-600 of 3383
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Understanding Brand and Design Aesthetics: An Exploration of Color, Design and Typography
(Master thesis, 2023)This thesis explores the complexities of evolutionary brand design, focusing specifically on the role of color and typography in brand aesthetics. Using a mixed-methods approach incorporating surveys, group discussions, ... -
A computational framework for coating fatigue analysis of wind turbine blades due to rain erosion
(Peer reviewed; Journal article, 2021)The rain-induced fatigue damage in the wind turbine blade coating has attracted increasing attention owing to significant repair and maintenance costs. The present paper develops an improved computational framework for ... -
Unified Quality-Aware Compression and Pulse-Respiration Rates Estimation Framework for Reducing Energy Consumption and False Alarms of Wearable PPG Monitoring Devices
(Peer reviewed; Journal article, 2023)Due to the high demands of tiny, compact, lightweight, and low-cost photoplethysmogram (PPG) monitoring devices, these devices are resource-constrained including limited battery power. Consequently, it highly demands ... -
Using transfer coefficients to model series-connected multi-junction solarcells with radiative coupling
(Peer reviewed; Journal article, 2023)When the quality of multi-junction solar cells becomes sufficiently high, radiative exchange of photons between cells must be included to properly model such devices. In this work, it is shown how constants called transfer ... -
Prevalence of tick-borne encephalitis virus in questing Ixodes ricinus nymphs in southern Scandinavia and the possible influence of meteorological factors
(Peer reviewed; Journal article, 2023)Ixodes ricinus ticks are Scandinavia's main vector for tick-borne encephalitis virus (TBEV), which infects many people annually. The aims of the present study were (i) to obtain information on the TBEV prevalence in ... -
Detection of Depression Using Weighted Spectral Graph Clustering With EEG Biomarkers
(Peer reviewed; Journal article, 2023)The alarming annual growth in the number of people affected by Major Depressive Disorder (MDD) is a problem on a global scale. In the primary scrutiny of depression, Electroencephalography (EEG) is one of the analytical ... -
Augmented Random Search with Artificial Neural Networks for energy cost optimization with battery control
(Peer reviewed; Journal article, 2022)Intermittent renewable energy production and dynamic load must be balanced through appropriate control of integrated energy storage to account for the temporal discrepancy among power supply and demand. Intelligent control ... -
Enhancement of Charging Resource Utilization of Electric Vehicle Fast Charging Station with Heterogeneous EV Users
(Doctoral dissertations at University of Agder;no. 416, Doctoral thesis, 2023)This thesis presents innovative charging resource allocation and coordination strategies that maximize the limited charging resources at FCS with heterogeneous EV users. It allows opportunistic EV users (OEVs) to exploit ... -
Rough linear PDEs with discontinuous coefficients – existence of solutions via regularization by fractional Brownian motion
(Peer reviewed; Journal article, 2020)We consider two related linear PDE’s perturbed by a fractional Brownian motion. We allow the drift to be discontinuous, in which case the corresponding deterministic equation is ill-posed. However, the noise will be shown ... -
Rethinking Learning Design in IT Education During a Pandemic
(Peer reviewed; Journal article, 2021)Maintaining high-quality teaching and learning in the times of a pandemic poses a huge challenge to education systems. To scaffold adequate practices in our courses during the pandemic, more advanced, and fine-grained ... -
Autonomous Demand Side Management of Electric Vehicles
(Doctoral Dissertations at the University of Agder; no. 411, Doctoral thesis, 2023)Demand-side management approaches that exploit the temporal flexibility of electric vehicles have attracted much attention in recent years due to the increasing market penetration. These demand-side management measures ... -
Leading edge erosion of wind turbine blades: Effects of blade surface curvature on rain droplet impingement kinematics
(Peer reviewed; Journal article, 2020)The issue of leading edge erosion (LEE) of wind turbine blades (WTBs) is a complex problem that reduces the aerodynamic efficiency of blades, and affects the overall cost of energy. Several research efforts are being made ... -
Learning Automata-based Misinformation Mitigation via Hawkes Processes
(Peer reviewed; Journal article, 2020)Mitigating misinformation on social media is an unresolved challenge, particularly because of the complexity of information dissemination. To this end, Multivariate Hawkes Processes (MHP) have become a fundamental tool ... -
Calibration of the HMPID detector at the ALICE experiment
(Master thesis, 2022)The ALICE ("A Large Ion Collider Experiment")-experiment at the LHC ("Large Hadron Collider") at CERN is an experiment with the prime aim being investigating interaction forces of particles at extreme temperature and energy ... -
Hybrid Neural Networks with Attention-based Multiple Instance Learning for Improved Grain and Yield Predictions
(Master thesis, 2022)Agriculture is a critical part of the world’s food production, being a vital aspect of all societies. Procedures need to be adjusted to their specific environment because of their climate and field condition disparity. ... -
Electric Vehicle Battery Module Dismantling "Analysis and Evaluation of Robotic Dismantling Techniques for Irre- versible Fasteners, including Object Detection of Components."
(Master thesis, 2022)This thesis examines a study of The Litium-Ion Battery (LIB) from a electric vehicle, and it’s recycling processes. A Battery Module (BM) from the LIB is shredded when considered an End-Of-Life product, and motivates for ... -
DET: Data Enhancement Technique for Aerial Images
(Master thesis, 2022)Deep learning and computer vision are two thriving research areas within machine learning. In recent years, as the available computing power has grown, it has led to the possibility of combining the approaches, achieving ... -
Priority-based initial access for URLLC traffic in massive IoT networks: Schemes and performance analysis
(Peer reviewed; Journal article, 2020)At a density of one million devices per square kilometer, the10’s of billions of devices, objects, and machines that form a massive Internet of things (mIoT) require ubiquitous connectivity. Among a massive number of IoT ... -
Thermo-Hydraulic Modelling and Experimental Validation of an Electro-Hydraulic Compact Drive
(Peer reviewed; Journal article, 2021)Electro-hydraulic compact drives (ECDs) are an emerging technology for linear actuation in a wide range of applications. Especially within the low power range of 5–10 kW, the plug-and-play capability, good energy efficiency ... -
The interplay between terrestrial organic matter and benthic macrofauna: Framework, synthesis, and perspectives
(Peer reviewed; Journal article, 2023)Ecosystems are shaped by physical, chemical, and biological drivers, which affect the quality and quantity of basal energy sources, with impacts that cascade to higher trophic levels. In coastal, shelf, and marine habitats, ...