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Network cameras observe physical spaces but lack an inherent understanding of the scenes they see. This thesis presents a pipeline for floor and wall instance segmentation from a single uncalibrated RGB image, requiring no scene-specific prior information such as camera intrinsics, depth sensors, floor plans, or labelled floor and wall data for training. The detected instances are intended to supp
Electronic Image Stabilization is a method to digitally stabilize a video feed to remove unwanted motion by transforming the image. The aim is to create a better viewing experience, reduce bitrate, and simplify further video analytics. This thesis explores different algorithms to stabilize Pan-Tilt-Zoom surveillance cameras made by Axis Communications. Many scenarios are investigated, but the case
Förarapplikationer används i allt större utsträckning hos yrkesförare för att stödja företags ruttplanering, orderhantering, dokumentation och intern/extern kommunikation. När förare behöver läsa, tolka och/eller interagera med information i situationer kopplade till körning kan dessa system även skapa visuell, manuell och kognitiv distraktion, vilket ökar risken för trafikrelaterade skador. DettaDriver applications are increasingly used in professional driving to support route planning, order management, documentation, and communication. When drivers need to read, interpret, or interact with information in close proximity to driving, these systems can also create visual, manual, and cognitive distractions, increasing traffic safety risk. This master's thesis was conducted in collabora
Importance: Accurate risk prediction of morbidity and mortality in patients with heart failure with preserved ejection fraction (HFpEF) may help clinicians risk stratify and inform care decisions. Objective: To develop and validate a novel prediction model for clinical outcomes in patients with HFpEF using routinely collected variables and to compare it with a biomarker-driven approach. Design, Se
Music therapy is a “vocally demanding profession” [1, p. 46]. Currently, little is known about the prevalence and about the possible risk factors for voice disorders within music therapy. As music therapy workspaces may not always be ideal in terms of acoustics, the aim of the study is to investigate room acoustics and noise as risk factors for possible voice disorders among music therapists in Fi
In the last decades, the development of high-throughput molecular assays has revolutionised cancer diagnostics, paving the way for the concept of personalised cancer medicine. This progress has been driven by the introduction of such technologies through biomarker-driven oncology trials. In this review, strengths and limitations of various state-of-the-art sequencing technologies, including gene p
With continuously improving signal-to-noise ratios, a statistically sound analysis of quasi-elastic neutron scattering (QENS) spectra requires to fit increasingly complex models which poses several challenges. Simultaneous fits of the spectra for all recorded values of the momentum transfer become a standard approach. Spectrometers at spallation sources can have a complicated non-Gaussian resoluti
As we’re living in a modern society, most of us have been connected to the water and electricity grid, However, there’re still billions of people who are still lack of reliable water and electricity resource. In some developing countries like India and Philippines, the demand for electricity and water are far more than actual production, which causes frequent electricity and water shortage problem
Since their emergence in the 1950’s, ice cores have ventured from being scientific objects of concern to a limited number of glaciologists to becoming one of the most iconic representations of anthropogenic climate change. This thesis aims to historicize the way in which ice cores became enrolled into climate discourse, particularly emphasizing the production and representation of temporalities of
Value at Risk (VaR) is a popular measurement for valuing the risk exposure. Correct estimates of VaR are essential in order to properly be able to monitor the risk. This thesis examines a copula approach for estimating VaR for portfolios of commodities. The predictions are made from a semi- parametric model with Monte Carlo methods. The underlying model is constructed by choosing the best fit from
The thesis explores the possibilities of the Swedish government to assure effective waste collection policies for mercury-containing gas-discharge lamps (GDL) in the context of phase-out of incandescent light bulbs. The study includes review of the waste collection, the waste collection evaluation, policy review and policy analysis. The specific analytical tools applied include Lindhqvist’s policy
In this Licentiate Dissertation presents a new model for selecting environmental performance indicators in order to improve environmental management. The suggested Total Cost Indicators support a support a preventive approach to environmental management, where environmental issues are addressed before they arise - and before they become costs. The method of selecting indicators builds on earlie
Vehicles in the future are anticipated to have the ability to communicate and exchange useful information in order to avoid collisions. However, for this cooperation to be possible all vehicles will have to be equipped with compatible wireless IEEE 802.11p modules that implement intelligent transport systems operating in the 5 GHz frequency band standard (ITS-G5 or WAVE). During the implementation
Climate change and disasters are among today’s most pressing issues. The damage caused by the world-wide increase in disasters is staggering, with the urban poor being most at risk. Disasters make their al-ready precarious living conditions worse, creating a vicious circle of poverty. More and more attention has thus been given to the need to address changing climatic conditions and disaster risk
