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Bonäsheden, Sweden's largest continuous dune field, situated in the county of Dalarna, central Sweden, has been investigated using LiDAR (light detection and ranging) remote sensing, ground penetrating radar as well as by field observations and luminescence dating. The use of LiDAR in conjunction with geographic information system (GIS) software proved to be efficient in mapping the inactive dune

Overbank flooding caused by historically high flows, such as that in the Rio Mundaú watershed (lying between the states of Alagoas and Pernambuco) in 2010, has been the cause of widespread damage. The purpose of work described in this paper was to propose a mapping of areas liable to flooding in the township of Rio Largo (Alagoas) in the Rio Mundaú watershed by means of an “off-line” coupling of t

Equitable distribution of healthcare services towards the reduction of HIV-AIDS prevalence in Nigeria remains a major public health concern. One of several research model to solve this public health problem is the use Geographical Information System, a two-step floating catchment area (2SFCA), this model emerged in the last decade as a key measure of spatial accessibility, particularly in its appl

Thesis purpose: The combined research on the effects of logo redesign on heritage brands is underdeveloped. Therefore, we contribute with insights to this nascent subject and provide inspiration for others to continue. Methodology: This thesis uses quantitative methods with a mixed experimental design to test the impact of different logo versions on Brand Attitudes and Perceived Brand Authenticity

Smart komprimeringsteknik för ljudinspelningar Omfattande forskning inom videokomprimering har lett till en märklig balans där ljudspåret ibland tar större plats än videospåret i övervakningsinspelningar. För att jämna ut detta behövs smarta tekniker även för ljudkomprimering. Det här arbetet presenterar ett förslag för att minska ljuddatan med mer än 50 %. Det är vanligt att majoriteten av mateThree different classification solutions for distinguishing events from non-events in surveillance audio are described and evaluated. The three compared methods are energy functions, Gaussian mixture modelling algorithms (GMM) and existing voice activity detectors (VAD). Recorded test signals with corresponding manually labelled ground truth files are used to determine the accuracies of the method

In this thesis we propose a new form of Variational Autoencoder called the Conditional Latent Space Variational Autoencoder or CL-VAE. By conditioning on a known label in a dataset we can decide what points are being mapped to what prior distribution. This makes the latent space more understandable and separates the classes further. It also subverts the tug-of-war effect between reconstruction los

As the general concern about the environment grows citizens find new ways to engage in practices that try to counter unsustainable practices. Often these practices are off the beaten political path and stand for newer methods to effectuate change on small or larger scales. This thesis looks at one of the newer forms of engagement, namely at individuals in anti food waste groups on the social netwo

I designen av en ny bil används datormodeller för att förutsäga olika slags beteende. Ett exempel på ett sådant beteende är hur golvpanelerna vibrerar. Detta är av intresse eftersom golvpanelerna genererar ljud när de vibrerar, vilket uppfattas som buller. Golvpanelerna täcks därför med mattor som minskar ljudnivån i kupén. Problematiken som uppstår är att interaktionen mellan mattor och golvpanelFloor panels of vehicles are known to radiate structure-borne sound into the vehicle compartment. To reduce the structure-borne sound, numerical models are used in the development of vehicles to evaluate different design options of the vehicle body. The panels are covered with carpets composed of foam and heavy layer of rubber, which causes challenges and complications when predicting interior sou

Under utbildningen har jag lagt fokus på de kurser som handlat om kulturhistoriskt värdefulla byggnader och miljöer. Dessa har ofta handlat om att skapa en framtida strategi för en byggnad. Vi har lärt oss att kartlägga kvaliteter och se möjligheter för framtida användning. Vi har lärt oss att värdesätta, prioritera och välja bort. Ofta har jag funderat på vad vi kommer att vilja bevara för framtiDuring my university studies, I have focused on the courses that dealt with culturally and historically valuable buildings and environments. These have often been about creating a future strategy for a building. We have learned to map qualities and see opportunities for future use. We have learned to value, prioritize and opt out. I have often thought about what we will want to preserve for the fu

Generation of cell model using stem cells and genome engineering to study lysosomal storage disorders Lysosomal storage disorders (LSDs) are a group of approximately 70 diseases and many cause childhood neurodegeneration. There is no treatment for neurological symptoms of LSDs due the complexity of nervous system and lack of accurate study models. Stem cells are a promising tool to be used for st

Visibility in smoke has since the 1970s gained some attention, mostly after Tadahisa Jin ran the experiments which helped him develop todays widely used visibility equation. By showing that visibility can be assumed to be inversely proportional to the extinction coefficient by a visibility constant (equal to 8 for light emitting sign and 3 for light reflecting), Jin opened up new doors for researc

Denna uppsats undersöker möjligheten att modellera fyra svenska oreglerade älvars vattenföring mellan 1980-2015 med hjälp av ARMA-, GARCH- och SETAR-modeller. Genom att studera den mängd vatten som transporteras i vattendrag och hur dess beroendestruktur ser ut i allmänhet kan förståelse om bland annat djurliv och klimateffekter fördjupas. Tidsseriens process behandlas som ett additivt system där This paper studies the possibility to model the water flows of four Swedish unregulated rivers between 1980-2015 with ARMA, GARCH and SETAR models. By examining the amount of water that flows through the river and what the dependence in the process looks like in general, a further understanding for effects on for example wildlife and climate changes can be developed. The process of the time series

How mice avoid diseases, a measure of divergence The response we have to diseases vary from person to person. In much the same way diseases affect and are battled in many different ways depending on the species. This happens due to differences in their immune system. So, what causes these differences? Well, they are mostly caused by differences in the DNA, the molecule which has the code for ever

Digitaliseringen i samhället breder ut sig i allt större omfattning. Utvecklingen öppnar upp för en mängd möjligheter men kommer även med en hel del utmaningar. Processer som tidigare varit beroende av manuella förfarande kan nu hanteras helt automatiskt. Detta gäller exempelvis möjligheten att fatta automatiserade beslut inom den offentliga förvaltningen. AI möjliggör för mer komplicerade uppgiftDigitalization in our society is rapidly extending into new areas. The development opens up for many possibilities but also brings a number of challenges. Processes that were earlier dependent on manual procedures can now be managed automatically. This can for example be carried out through automated decision-making within the public administration. For more complicated tasks AI can extend the pos

Dark matter is an invisible type of matter believed to make up 85 % of the matter in the universe, but it has not yet been identified by experiments. According to certain particle physics theories, possible signatures of dark matter are so-called dark jets. They are the dark matter equivalent to classic jets, i.e collimated streams of particles. These jets could be produced from the proton-proton

All industrial facilities and large warehouses require some sort of lighting solution. They have ongoing activities with workers and trucks moving around at various speed, and to avoid accidents these lighting solutions are often very bright and energy consuming. The most common solution is fluorescent light. These lights are energy consuming and not dimmable. Turning these off by night or when th

Telematics units are widely spreading in the automotive industry. Getting realtime data from the systems is essential for creating services in the back office which builds value for both companies and end customers. The services created greatly impact maintenance strategies, future developments, and keeping the vehicle more sustainable and secure for both end users and customers. However, adding n

This thesis investigates the application of sentiment analysis in predicting stock returns for the companies listed in the OMXS30 index. The recent development of large language models (LLMs), like ChatGPT, has substantially advanced the field of sentiment analysis. This thesis utilizes Meta’s LlaMA 2 LLM for sentiment analysis, while a random forest model is employed to predict monthly stock retu