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Streaming video over the internet can face issues when met with poor and varying network conditions, which can be especially noticeable when streaming live video such as security footage or video calling. To handle this, there exists congestion control algorithms that monitor network conditions based on feedback from the receiver and adapt the video output. This thesis aims to implement and compar
FORESTRY, AIR POLLUTANTS AND MULTIPLE USE ASPECTS ON BERRY PRODUCTION OF FORESTS IN SOUTH SWEDEN by Georgios Gaitanis Lund University Master' s Programme in Environmental Sciences Honours Thesis Supervisor: Bengt Nihlgård Department of Plant Ecology Lund University Summary Various methods of forest management affect the occurrence of berry species in many different ways. It is also known that atmo
https://www.lumes.lu.se/sites/lumes.lu.se/files/gaitanis_georgios.pdf - 2026-07-24
The recent progress in wearable sensor technology, signal processing and machine learning enables novel applications in fields such as automatic disease symptom tracking and classification. In this project, data from an ongoing Parkinson’s disease study at the Lund University Hospital is gathered and analyzed, and classification models of varying complexity for symptom severity are evaluated. 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.
Several strategic interactions over social networks display both negative and positive externalities at the same time. E.g., participation to a social media website with limited resources is more appealing the more of your friends participate, while a large total number of participants may slow down the website (because of congestion effects) thus making it less appealing. Similarly, while there a
Fully-synchronous measurements of a massive multi-user multiple-input multiple-output (MU-MIMO) radio propagation channel are presented. We evaluate the ability of a massive MIMO system to spatially separate users located close to each other in line-of-sight (LOS) propagation conditions. The system consists of a base-station (BS) antenna array equipped with 64 dual-polarized antenna elements (128
In this paper, we construct protograph-based spatially coupled low-density parity-check (LDPC) codes by coupling together a series of L disjoint, or uncoupled, LDPC code Tanner graphs into a single coupled chain. By varying L, we obtain a flexible family of code ensembles with varying rates and frame lengths that can share the same encoding and decoding architecture for arbitrary L. We demonstrate
We propose that CDCL SAT solver heuristics such as restarts and clause database management can be analysed by studying the resolution proofs produced by the solvers, and by trimming these proofs to extract the clauses actually used to reach the final conclusion. We find that for non-adaptive Luby restarts higher frequency makes both untrimmed and trimmed proofs smaller, while adaptive restarts bas
Cloud computing has emerged as an inexpensive and powerful computing paradigm, to the point that now even applications with hard deadlines are executed in the cloud. It may happen, due to unexpected events, that an application becomes popular and receives a lot of attention and client requests in a short period of time. Provisioning computing capacity for such applications is quite a difficult tas
The fast-increasing demand and relatively slow growth of infrastructure capacity are providing a strong motivation for research in real-time urban traffic controls that make the best use of novel sensing in order to increase efficiency and resilience of the transportation system. In our contribution, we focus on a class of dynamic feedback traffic signal control policies that are based on a genera
In this article, we propose a novel solution to detect multiple targets using a distributed multiple-input multiple-output (MIMO) radar under the so-called 'defocused transmit-defocused receive' operating mode. The proposed method employs a grid-based data matching algorithm, aiming to associate the target responses to potential target locations, solving the resulting data puzzle that evaluates th
There is a growing interest in industry and academia in machine learning (ML) testing. We believe that industry and academia need to learn together to produce rigorous and relevant knowledge. In this study, we initiate a collaboration between stakeholders from one case company, one research institute, and one university. To establish a common view of the problem domain, we applied an interactive r
Firekite is a synchronous stream cipher using a pseudo-random number generator (PRNG) whose security is conjectured to rely on the hardness of the Learning Parity with Noise (LPN) problem. It is one of a few LPN-based symmetric encryption schemes, and it can be very efficiently implemented on a low-end SoC FPGA. The designers, Bogos, Korolija, Locher and Vaudenay, demonstrated appealing properties
Out-of-distribution (OOD) detection is a crucial step in ensuring robustness and trustworthiness for deep learning (DL) models. This is particularly important for classification tasks in medical applications. Previous work has shown that point-of-care ultrasound (POCUS) imaging combined with a DL classification network could improve access to early breast cancer diagnosis. In this work, we investi
Control systems are ubiquitous and often at the core of Cyber-Physical Systems, like cars and aeroplanes. They are implemented as embedded software, that interacts in closed loop with the physical world through sensors and actuators. As a consequence, the software cannot just be tested in isolation. To close the loop in a testing environment and root causing failure generated by different parts of
Dose conversion coefficients attempt to harmonize the material-, location-, and exposure-dependent results from retrospective dosemeters. The issues and uncertainties arising from dose conversion are explored within the framework of an interlaboratory comparison exercise in which mobile phones were positioned around anthropomorphic phantoms and exposed to non-uniform photon fields, with the glass
We present novel approaches involving generative adversarial networks and diffusion models in order to synthesize high-quality, live, and spoof fingerprint images while preserving features such as uniqueness and diversity. We generate live fingerprints from noise with a variety of methods, and we use image translation techniques to translate live fingerprint images to spoof. To generate different
The aim of realistic graphics is the creation of images that provide the same visual responses that a viewer would experience in a real world scene. There are different rendering techniques that produce high dynamic range images that capture the full intensity range of a scene. These images cannot be reproduced on a standard display due to limitations in device hardware. Therefore, a high dynamic
The use of millimetre-wave frequencies in Fifth generation New Radio has lead to high path loss due to radio propagation environment. Simultaneously, high data rates is a must for current products due to high market demand. This requirement accounts for efficient tracking of the best beam for the user equipment to stay connected to it. Current products at Ericsson use such methods of beam manageme
DNA transposons are a class of mobile genetic elements that can autonomously move from one genomic location to another. They are powerful drivers of genetic change and have played a significant role in the evolution of many genomes. One such transposable element, IS608 from Helicobacter pylori employs a unique mechanism of transposition as it transposes in a single-stranded DNA form and inserts sp
