Faculty of Engineering and Science: Recent submissions
Now showing items 681-700 of 3383
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On the Influence of Cross-Section Size on Measured Strength of SLM-Produced AlSi10Mg-Alloy
(Peer reviewed; Journal article, 2022)The freedom in choice of geometries in additive manufacturing (AM) favors the use of structures with large surface and small cross-section such as lattice structures and thin-walled hollow profiles. On the other hand, the ... -
Modeling of Modified Vehicle Crashworthiness using a Double Compound Pendulum
(Chapter; Peer reviewed, 2022)Vehicle crash modeling has been a challenge for researchers for several decades. Occupant injury prevention and prediction is a critical area within vehicle safety design. The modeling of material failure in structural ... -
A Novel Technique for Modeling Vehicle Crash using Lumped Parameter Models
(Chapter; Peer reviewed, 2021)This paper presents a novel technique for modeling a full frontal vehicle crash. The crash event is divided into two phases; the first until maximum crush and the second part when the vehicle starts pitching forward. This ... -
Modeling, Simulation and Prediction of Vehicle Crashworthiness in Full Frontal Impact
(Doctoral Dissertations at the University of Agder; no. 400, Doctoral thesis, 2023)Vehicle crashworthiness assessment is critical to help reduce road accident fatalities and ensure safer vehicles for road users. Techniques to assess crashworthiness include physical tests and mathematical modeling and ... -
Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network
(Peer reviewed; Journal article, 2020)In this paper, we propose a model for the Environment Sound Classification Task (ESC) that consists of multiple feature channels given as input to a Deep Convolutional Neural Network (CNN) with Attention mechanism. The ... -
Effect of welding and heat treatment on the properties of UHSS used in automotive industry
(Journal article; Peer reviewed, 2021)This paper deals with the undesired effects of the heat treatments on the mechanical properties of (UHSS) Ultra High Strength Steel used nowadays in automotive industry to improve crashworthiness performance of vehicles. ... -
Power production forecast for distributed wind energy systems using support vector regression
(Peer reviewed; Journal article, 2022)Due to the inherent intermittency in wind power production, reliable short-term wind power production forecasting has become essential for the efficient grid and market integration of wind energy. The current wind power ... -
The development of students’ mathematical competencies : The case of biology students
(Doctoral Dissertations at the University of Agder; no. 396, Doctoral thesis, 2023)This research focuses on the development of mathematical competencies of first-year university students in a Biology department as they engage in nonroutine open-ended mathematical tasks set in the context of biology. The ... -
The era of reference genomes in conservation genomics
(Peer reviewed; Journal article, 2022)Progress in genome sequencing now enables the large-scale generation of reference genomes. Various international initiatives aim to generate reference genomes representing global biodiversity. These genomes provide unique ... -
On Steady Solutions of a generalized Whitham equation
(Peer reviewed; Journal article, 2021) -
Protection from fishing improves body growth of an exploited species
(Peer reviewed; Journal article, 2022)Hunting and fishing are often size-selective, which favours slow body growth. In addition, fast growth rate has been shown to be positively correlated with behavioural traits that increase encounter rates and catchability ... -
Forward Kinematic Modelling with Radial Basis Function Neural Network Tuned with a Novel Meta-Heuristic Algorithm for Robotic Manipulators
(Peer reviewed; Journal article, 2022)The complexity of forward kinematic modelling increases with the increase in the degrees of freedom for a manipulator. To reduce the computational weight and time lag for desired output transformation, this paper proposes ... -
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality
(Peer reviewed; Journal article, 2022)Since the early 1960s, the paradigm of learning automata (LA) has experienced abundant interest. Arguably, it has also served as the foundation for the phenomenon and field of reinforcement learning (RL). Over the decades, ... -
Robust Active Learning Multiple Fault Diagnosis of PMSM Drives with Sensorless Control under Dynamic Operations and Imbalanced Datasets
(Peer reviewed; Journal article, 2022)This paper proposes an active learning scheme to detect multiple faults in permanent magnet synchronous motors in dynamic operations without using historical labelled faulty training data. The proposed method combines the ... -
Knowledge Mobilization in Agile Information Systems Projects: A Literature Analysis
(Proceedings of the European Conference on Knowledge Management;1, Chapter; Conference object, 2022)This study focuses on how knowledge is mobilized in agile information systems (IS) projects. One crucial success factor of those projects is to mobilize knowledge through different knowledge management processes. It is ... -
An investigation into the sustainable lithium battery pack design
(Master thesis, 2022)The global demand for electricity is rising due to the increased electrification of multiple sectors. Whereof electrical vehicles are becoming increasingly popular. In addition, the European Parliament issued a ban on ... -
Praksisstudienes omfang og organisering i bioingeniørutdanningen
(Peer reviewed; Journal article, 2022)Since 2005, scope and content of the biomedical laboratory scientist education have been defined by national guidelines to ensure equal final competence for all candidates. From 2019, a new regulation on national guidelines ... -
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise
(Peer reviewed; Journal article, 2022)Q-learning is one of the most well-known Reinforcement Learning algorithms. There have been tremendous efforts to develop this algorithm using neural networks. Bootstrapped Deep Q-Learning Network is amongst them. It ... -
In-Service Teachers’ Perception of the Usefulness of Analyzing their Lower Secondary Students’ Written Argumentation
(Peer reviewed; Journal article, 2022)This study investigates how in-service teachers perceive analyzing their own lower secondary students’ written argumentation as useful. The participants were lower secondary school teachers enrolled in a university mathematics ... -
Production of green hydrogen in Agder
(Master thesis, 2022)