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In this paper, we investigate a Multi-layer Aerial system for GenAI inference at the Edge (MAGE). Therein, ground user equipments (UEs) request image synthesis services from a remote base station (BS) that leverages the Latent Diffusion Model (LDM) for image generation. Multiple Unmanned Aerial Vehicles (UAVs) are deployed to serve the UEs for relaying their images and prompts to the BS. To reduce
We explore mission assignment and task offloading in Open Radio Access Network (Open RAN)-enabled intelligent transportation systems (ITS), where autonomous vehicles utilize mobile edge computing for efficient processing. Existing studies often overlook mission dependencies and offloading costs, leading to suboptimal decisions. To address this, we formulate a novel optimization problem that integr
In computer graphics, there are numerous aspects that must be considered when rendering images of virtual scenes:What physical light-generating phenomena do we care about? How should object and material surfaces be described? And how should these be stored to ensure as fast and efficient image rendering as possible?As a part of this thesis, a method for rendering images of scenes lit by virtual at
Line segments are powerful features complementary to points. They offer structural cues, robust to drastic viewpoint and illumination changes, and can be present even in texture-less areas. However, describing and matching them is more challenging compared to points due to partial occlusions, lack of texture, or repetitiveness. This paper introduces a new matching paradigm, where points, lines, an
In this paper we introduce the Tangent Sampson error, which is a generalization of the classical Sampson error in two-view geometry that allows for arbitrary central camera models. It only requires local gradients of the distortion map at the original correspondences (allowing for pre-computation) resulting in a negligible increase in computational cost when used in RANSAC or local refinement. The
In contrast to sparse keypoints, a handful of line segments can concisely encode the high-level scene layout, as they often delineate the main structural elements. In addition to offering strong geometric cues, they are also omnipresent in urban landscapes and indoor scenes. Despite their apparent advantages, current line-based reconstruction methods are far behind their point-based counterparts.
Finding the optimal subset of individuals to observe in order to obtain the best estimate of the average opinion of a society is a crucial problem in a wide range of applications, including policy-making, strategic business decisions, and the analysis of sociological trends. We consider the opinion vector X to be updated according to a DeGroot opinion dynamical model with stubborn agents, subject
Software applications can be described using a computational model. These Models of Computation (MoCs) define rules governing application behaviour and properties that are enforced during execution. This thesis focuses on an actor-based MoC, known as dataflow-with-firing, where applications are modelled as actors connected by buffered channels. This model yields a concurrent application descriptio
Rapid warming in the Arctic is transforming northern ecosystems and altering their role in the global carbon cycle. Rising temperatures are driving shifts in vegetation composition, phenology, and ecosystem functioning, including earlier growing seasons and the expansion of shrubs across tundra landscapes. These changes influence surface energy balance, carbon uptake, and climate feedbacks, yet su
Combinatorial optimization is a powerful way to solve complex problems, like planning, scheduling, or hardware verification, by expressing the problem in a mathematical form using discrete variables that can be solved by general solvers. Due to major advances in algorithms for solving combinatorial optimization problems, these solvers can tackle real-world challenges efficiently. However, as solve
Sensitivity measures how much the output of an algorithm changes, in terms of Hamming distance, when part of the input is modified. While approximation algorithms with low sensitivity have been developed for many problems, no sensitivity lower bounds were previously known for approximation algorithms. In this work, we establish the first polynomial lower bound on the sensitivity of (randomized) ap
The transition to post-quantum cryptography is well underway. Driven by the recognition that Shor's algorithm would render all widely deployed asymmetric cryptosystems insecure in the presence of a sufficiently capable quantum computer, the cryptographic community has spent the past decade designing, evaluating, and standardizing a new generation of public-key primitives. In 2024, ML-KEM became th
A graphics processing system that is operable to perform ray tracing using micromaps is disclosed. A tree representation of a micromap is generated, and when it is desired to determine whether and/or how a ray interacts with a sub-region of a primitive, the tree representation of the micromap is traversed to determine a property value for the sub-region of the primitive.
Recognising the need for PQC signature schemes with different sizes and performance trade-offs than the ML-DSA and SLH-DSA standards, in 2023, NIST launched a competition for additional signature algorithms. Among the current candidates in this competition is CROSS, a code-based scheme derived from the syndrome-decoding problem and suitable for memory-constrained devices. This paper presents a fau
To study cortical re-organisation after acute hand deafferentation, we investigated 10 experimental subjects and 10 controls for function in the left hand, before, during and after tourniquet induced anaesthesia of the right hand. fMRI was performed in three experimental subjects. Tourniquet-induced right hand anaesthesia resulted in rapid significant improvement in grip strength, tactile discrimi
There is an increasing consensus that individual adaptive capacities are critical to successfully adapt to climate change and achieve sustainable development. However, little is known about adaptive practices, particularly in developed countries. Against this background, this paper investigates the strategies used by Swedish citizens to adapt to (changing) climatic variability and extremes. It off
Standing on a foam surface is believed to exaggerate balance deficits by decreasing the reliability of somatosensory information from cutaneous mechanoreceptors on the plantar soles (i.e. base of feet) and by altering the effectiveness of ankle torque. The aim was to further document the nature of foam posturography testing by comparing between standing on foam and standing with decreased Rapidly
With computers embedded almost everywhere, in domestic, industrial, and medical appliances and devices, computing is becoming increasingly pervasive. Services in pervasive systems can be combined and coordinated through user-defined scripts called assemblies, a light-weight and understandable way for end users to adapt services to fit their specific needs. Previous languages for assembly scripts
