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Self-adaptive software systems monitor their operation and adapt when their requirements fail due to unexpected phenomena in their environment. This paper examines the case where the environment changes dynamically over time and the chosen adaptation has to take into account such changes. In control theory, this type of adaptation is known as Model Predictive Control and comes with a well-develope
We consider the problem of localizing a novel image in a large 3D model, given that the gravitational vector is known. In principle, this is just an instance of camera pose estimation, but the scale of the problem introduces some interesting challenges. Most importantly, it makes the correspondence problem very difficult so there will often be a significant number of outliers to handle. To tackle
Families living with mental illness experience an added burden and may experience such psychological distress that they require therapeutic intervention. The Internet is used as a daily tool by a growing share of the population worldwide, including for health related matters. Its potential as a health care tool, including advantages and drawbacks, should be explored. The overall aim of the present
If semantic consequence is analyzed with extensive games, logical reasoning can be accounted for by looking at how players solve entailment games. However, earlier approaches to game semantics cannot achieve this reduction, by want of explicitly dened preferences for players. Moreover, although entailment games can naturally translate the idea of argumentation about a common ground, a cognitive in
The present paper reports on two different applications developed at ULUND. Both applications are designed to allow the user to interact with a haptic-auditory virtual environment. Common problems in both applications concern the design of tools for creat
Tailbiting trellis representations of linear block codes with an arbitrary sectionalization of the time axis are studied. A new lower bound on the maximal state complexity of an arbitrary tailbiting code is derived. The asymptotic behavior of the derived bound is investigated. Some new tailbiting representations for linear block codes of rates R=1/c, c=2,3,4 are presented
In this paper, we incorporate the layered structure with low-density parity-check codes (LDPC) to develop a quasi-block diagonal LDPC space-time structure. The lower triangular structure of the parity check matrix introduces correlation between layers. In addition, each layer, as a part of the whole codeword, can be decoded while taking information from other undetected layers to improve the decod
This thesis covers four different topics related to the physics analysis in the ATLAS experiment that uses proton-proton collisions data provided by the Large Hadron Collider. The first topic is focused on the numerical simulation of the Transition Radiation Tracker which is one of the ATLAS tracking detectors. The implementation of the alternative Argon based gas mixtures used in the drift tub
Deep neural network architectures have recently produced excellent results in a variety of areas in artificial intelligence and visual recognition, well surpassing traditional shallow architectures trained using hand-designed features. The power of deep networks stems both from their ability to perform local computations followed by pointwise non-linearities over increasingly larger receptive fiel
Objectives: Promoting accessible housing for all citizens is high on the political agenda. Knowledge is, however, limited regarding housing accessibility problems for people with Parkinson's disease (PD). The objectives were to investigate housing accessibility problems among people with PD at different stages of disease severity and to analyze the potential impact of improved functional ability o
https://www.isk.lu.se/programme-overview - 2026-07-25
This study aims to quantitatively examine the impact of on-court, off-court, and university-related factors on athlete marketability. It further investigates whether gender moderates these relationships. A quantitative approach was chosen, utilizing secondary data collected from collegiate basketball athletes’ social media profiles and university rosters for the 2024-2025 season. Generalized Linea
