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Traffic congestion is a persistent problem in modern urban environments, causing delays, increasing pollution, and negatively affecting the quality of life of millions of city dwellers. As urban populations grow, the need for intelligent traffic man- agement systems becomes more pressing. This thesis presents a novel approach to real-time traffic management using edge computing in conjunction w
Rebound effects, though well-documented in consumption areas such as household energy consumption, have been far less explored in nutrition. This is despite the fact that the nutrition may be just as crucial of a consumption area when considering how to reduce carbon footprints in personal lifestyle choices. This thesis explores the existence of one of the possible mechanisms behind a rebound effe
This paper aims to examine the relationship between aircraft leasing and the financial performance of American publicly listed airline companies. In doing so, this paper aims to contribute to the academic literature on leasing within the financial management literature. In addition, this paper aims to provide insights for decision-makers working within airlines (e.g., financial officers) or extern
In recent years, researchers worldwide have become increasingly interested in the phenomenon of code-switching in the multilingual classroom. The paper aims to try to understand when and why teachers in Swedish for Immigrants (SFI) schools code-switch in their classrooms. It analyses the methods and reasons for teachers’ code-switching in the SFI classroom. A case study was conducted by means of a
This thesis presents a method, from an article by Gouveia and Stone, for solving resonant ODE:s as well as ODE:s with multiple roots, based on perturbation theory. It also gives a mathematical justification for the method as well as background on resonance and repeated roots. Later in the thesis we use the method to solve a number of ODE’s, illustrating its usefulness.
Automation with the use of robotics is a crucial trend across industries, enhancing efficiency and quality while improving health and safety conditions by minimizing human exposure to hazardous tasks. Alfa Laval, a global provider of products within heat transfer, separation, and fluid handling, is embracing this trend by exploring how to solve labor-intensive processes like the production of rubb
In the summer of 2014, a violent conflagration erupted in the isolated Palestinian enclave of Gaza. Whilst the fighting was between Hamas and Israel, Palestinian civilians paid the price. The stark disparity in deaths triggered a debate in the West about Israeli tactics, and the media was accused of ‘bias’ by both Israelis and Palestinians. What this controversy reveals is that the argument is abo
Battery Electric Vehicles (BEVs) are increasingly adopted as sustainable alternatives to shift fossil fuel reliance. However, because of battery dependence, their heating systems face significant efficiency losses due to frost formation on heat exchangers in cold climates. This study investigates a capacitance-based sensing approach to detect ice buildup on automotive heat exchangers, aiming to op
This thesis studies the flood risks in Yogyakarta City, Indonesia, focusing on the Kali Belik River area, and explores the regulations and design principles aimed at enhancing flood risk reduction and management in the city. The discussion begins at the global level, analysing frameworks such as the Sendai Framework for Disaster Risk Reduction, and transitions to the local level, assessing the cha
Galectins are proteins that bind to carbohydrate structures, with high affinity for β-galactoside ligands that exists naturally in our bodies. They are involved in the development of various diseases, including central nervous system diseases and cancer proliferation. Galectin-1, which is the focus in this thesis, is related to anti-inflammatory and neuroprotective functions in the brain. Drug del
In the pursuit of a system capable of measuring pain signals in humans we propose a method to differentiate those signals related to pain from those which are not. We performed a time-frequency analysis using the Gabor transform to have complete information about the spectrum and its behaviour through the time to study the main differences over the evoked potentials provoked by both nociceptive an
When viewing moving objects in videos the movement of the eyes is called smooth pursuit. For evaluating the relationship of eye tracking data to the moving objects, the objects in the videos need to be detected and tracked. In the first part of this thesis, a method for detecting and tracking of moving objects in videos is developed. The method mainly consists of a modified version of the Gaussian
A common approach to treat respiratory diseases is with adhesive powder mixtures. These are dispersed into an aerosol upon inhalation. It has been found that the performance of such mixtures can be improved by adding fine particle lactose, but exactly why is yet to be established. Several theories have been proposed by previous studies, but the fundamental mechanism is still unknown. This study w
The HIE-ISOLDE post accelerator at CERN has recently come online, en- abling the use of radioactive ion beams with energies of up to 10 MeV/u. An active target gaseous detector is under development for use in some of the experiments. The first investigation of the electron amplification stage with gas electron multipliers has been performed. To this end, a small prototype GEM detector was built an
For variable-frequency drives, the most common way to apply the desired power to an electrical motor is using PWM modulated signals. Due to high-frequency components, those signals give rise to reflections in the motor cables, radiated noise around the cables and acoustic noise in the motor. In order to avoid those problems, NFO Drives AB develops and produces an alternative to PWM modulation call
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Artificial intelligence (AI) development thrives on global datasets, yet every outbound transfer of EU personal data must now satisfy two demanding regimes; the General Data Protection Regulation (GDPR) and the Artificial Intelligence Act (AIA). The GDPR lets exporters rely on Adequacy Decisions, standard contractual clauses, or other Article 44-49 tools only if they can guarantee an “essentia
Hydrogen plays a pivotal role in the global energy transition, offering a clean and versatile energy carrier for a sustainable future. However, ensuring its safe use in industrial facilities requires reli- able prediction of dispersion from Venting Units (VUs). Traditional computational fluid dynamics (CFD) simulations provide high-fidelity results but are too slow for fast safety assessment and i
As industrial sectors and digital infrastructure expand, the global demand for high-volume, reliable manufacturing of thermal management solutions like heat exchangers continues to accelerate. This thesis investigates the design and optimization of an automated robotic assembly cell for heat exchanger production at Alfa Laval using Discrete Event Simulation (DES). The primary objective was to defi
