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The potential for making profits investing in cryptocurrencies, the hedging benefits and the role in global economy, make it relevant to study the determinants of cryptocurrencies and to analyze different returns prediction models. Previous studies have focused one or some cryptocurrencies, this study analyzes the cryptocurrency market as a whole and finds the determinants of the cryptocurrency ma
Electric vehicle (EV) charging may be used in aggregation as virtual batteries to provide a frequency regulating service to the power grid. The service is sold on the Frequency Containment Reserve (FCR) markets, and is traded one and two days ahead. Forecasts of charging patterns are essential to reliably provide this ancillary service. The thesis aims to build a generalized model for forecasting
The social and environmental impact associated with consuming a product is something that is becoming increasingly important to consumers and businesses alike. This impact can in theory be computed simply by classifying a product and by mapping the classified product to the corresponding life-cycle assessments research. However, this type of mapping requires an extensive product taxonomy with a la
This Master Thesis has been written at EADS (European Aeronautic Defence and Space Company) Airbus in Bremen.The work contains a description of a few methods when linearising SystemBuild models in MATRIXx. MATRIXx is a tool for matrix manipulations (similar to Matlab) and SystemBuild is a graphical modeling environment (similar to SimuLink). The methods examined are the linearization command “lin”
The purpose of this project was to investigate fast photoneutron production from a series of materials commonly used for backing neutron beam guides. Fast neutrons were knocked out of these materials by exposing them to to high-energy photons at the Tagged-Photon Facility at MAX-lab in Lund, Sweden. Liquid scintillator detectors at different angles around the targets registered the photoknockout n
The purpose of this paper is to compare a collection of control variates for Monte Carlo-valuation of spread options on three assets with a view towards energy markets and to lay a foundation for continued research on control variates, e.g. combinations of control variates and adaption for quasi-Monte Carlo. The paper builds upon previous research on option pricing using Monte Carlo-simulation and
Under år 2022 vräktes totalt 575 barn i Sverige enligt statistik från Krono-fogden, detta trots att en nollvision mot vräkningar av barnfamiljer infördes år 2008 av den dåvarande alliansregeringen och att Förenta nationernas kon-vention om barnets rättigheter artikel 1–42 införts som lag i Sverige. Hur ska detta faktum förklaras och förstås? Uppsatsen ämnar utreda hur principen om barnets bästa eAccording to statistics from the Swedish Enforcement Authority a total of 575 children were evicted in Sweden during the year of 2022, even though a policy of a zero-tolerance against the eviction of families has been imple-mented by the government and the United Nations Convention on the Rights of the Child has been incorporated into domestic law. The essay intends to analyze how the principle o
China has recently completed an important part of the reform process of its banking system partially privatising its major Commercial banks with both domestic and foreign capital. This paper investigates the effect of different ownership structures to banks’ economic performance, using a panel data analysis of 57 banks over the 2000-2016 period. A specific focus will be given to the Big-Five Comme
In this thesis, a method that generates critical situations for autonomous vehicles with fewer resources was investigated. To produce these key examples, the strategy in this thesis explores optimization and reinforcement learning. These key examples are defined as Edge cases; these cases are situations on the border between safe and unsafe. To be able to search for them, in this paper, they are d
Brain-computer interfaces (BCIs) are devices that enable people with disabilities to use their thoughts to control external devices and restore or improve their bodily functions. One important aspect of BCIs is the classification of electroencephalography (EEG) signals, which measure brain activity and can be difficult to interpret. To address this challenge, we use time-frequency transformations
In this thesis, the viability of using Convolutional Neural Networks to detect parking spaces using aerial imagery has been evaluated. Three state of the art networks have been tested - YOLOv3, RetinaNet, and Mask R-CNN. A dataset of urban parking lots and corresponding annotations was generated from scratch using a custom built GUI to annotate automatically generated images of parking lots from O
In this Master thesis, different multitaper methods are implemented to estimate the spectra of respiratory signals and HRV data, and further to estimate the correlation between the respiratory center frequency and the narrow-banded high frequency band of HRV power. The methods are applied first on ARMA-process data, then on the integrated pulse frequency modulation (IPFM) data simulations, where t
Denna studies syfte är att undersöka hur fyra trumslagare använder sig av inspelningsteknik i sin undervisning och sin egen övning samt hur det påverkar lärandet. Detta har undersökts genom semi-strukturerade intervjuer med fyra informanter som alla har undervisat på estetiska program och högre musikutbildningar. Utifrån litteratur beträffande användningen av inspelningsteknik i skolan och hur manThe purpose of this study is to investigate how four drummers use recording in their teaching and in their individual practice and how this affects their learning. This has been investigated through semi-structured interviews with four informants who have all taught on arts programs in school and higher music education. Based on literature regarding the use of recording equipment in school and how
One of today’s most valuable trade routes consists of digital submarine cables trafficking the seabed of the oceans. Our modern society depends on fast and secure digital connections for economic transactions, government for vital functions and military communication. This has become an arena for competition and an instrument for geopolitical power used by great powers such as USA and China. The g
Polarisation is a hotly discussed and eagerly researched topic these days. This research specifically examines the effects of one type of polarisation: Ideological Polarisation on voter turnout. It does so by measuring the average ideological distance between all parties in European multiparty systems between 1999-2021 and correlating this to voter turnout in elections. Two of the ideological meas
The COVID-19 pandemic impacted people’s behavior on many levels, one of which is the frequency of commuting and the mode of transportation (MOT) used for it. This case study analyzes mobility behavior during the pandemic of employees commuting to and in Malmö, Sweden, and its predicting factors. A quantitative online survey (n=94) and qualitative semi-structured interviews (n=8) were conducted bas
