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With the growing demand for efficient, safe and sustainable transportation systems, the imperative to design intelligent routing and traffic management solutions within urban settings, requiring minimal data exchange and ensuring scalability, becomes evident. This paper introduces an innovative paradigm for traffic management. By seamlessly integrating machine learning and Autonomous Intersection

Massive multiple-input multiple-output (MIMO) plays an important role in beyond 5G systems to support high data rate and low latency, especially operating at millimeter-wave frequency bands. In traditional software-based simulators, the simulation time increases exponentially with the number of base station antennas and served users. We propose a hardware-in-loop simulator that combines the flexib

Importance: The lack of an in vivo measure for α-synuclein (α-syn) pathology until recently has limited thorough characterization of its brain atrophy pattern, especially during early disease stages. Objective: To assess the association of state-of-the-art cerebrospinal fluid (CSF) seed amplification assays (SAA) α-syn positivity (SAA α-syn+) with magnetic resonance imaging (MRI) structural measur

This paper elaborates on a technique for rapid real-time imaging of millimeter wave (mmWave) power density over surfaces of several wavelengths in size. The approach involves utilizing a screen-printed metasurface equipped with elements designed for absorption of mmWaves, along with an infrared camera to monitor temperature changes due to the absorption. By modulating the transmitted signal and ap

In this work we present SPL-BEV, a method to localize soccer players on a pitch from a monocular RGB camera. SPL-BEV features a network with few parameters that does not need to make any explicit object detection before localization is made. With SPL-BEV we show increased performance on the Spiideo SoccerNet SynLoc dataset compared to the best provided baseline result. The SPL-BEV system samples f

We propose a framework for calibration, positioningand tracking in a scene viewed by multiple cameras, througha flat refractive surface and one or several flat reflective walls.Refractions are explicitly modeled by Snell’s law and reflectionsare handled using virtual points. A novel bundle adjustmentframework is introduced for solving the nonlinear equationsof refractions and the linear equations

The semiconductor technology development con- stantly enables integrated circuits (ICs) with more, faster and smaller transistors. While there are many advantages, there are also many and new challenges, for example tighter margins, wear- outs and process variations. To address these challenges, the traditional approach with external test instruments used at man- ufacturing test must be complement

Structural brain MRI has proven invaluable in understanding movement disorder pathophysiology. However, most work has focused on grey/white matter volumetric (macrostructural) and white matter microstructural effects, limiting understanding of frequently implicated grey matter microstructural differences. Using ultra-strong spherical tensor encoding diffusion-weighted MRI, a persistent MRI signal

This paper presents LuMaMi28, a real-time 28GHz multi-user (MU) multiple-input multiple-output (MIMO) testbed. In this testbed, the base station has 16 transceiver chains with a fully-digital beamforming architecture (with different pre-coding algorithms) and simultaneously supports multiple user equipments (UEs) with spatial multiplexing. The UEs are equipped with a beam-switchable antenna array

High-precision localization and machine learning (ML) are envisioned to be key technologies in future wireless systems. This paper presents an ML pipeline to solve localization tasks. It consists of multiple parallel processing chains, each trained using a different fingerprint to estimate the position of the user equipment. In this way, ensemble learning can be utilized to fuse all chains to impr

High-precision cellular-based localization is one of the key technologies for next-generation communication systems. In this paper, we investigate the potential of applying machine learning (ML) to a massive multiple-input multiple-output (MIMO) system to enhance localization accuracy. We analyze a new ML-based localization pipeline that has two parallel fully connected neural networks (FCNN). The

Connected Autonomous Vehicles (AVs) have the potential to revolutionize Intelligent Transportation Systems (ITS) by addressing urban transport challenges, such asAutonomous Intersection Management (AIM). However, the assumption of highly accurate positioning in most ITS applications does not align with real-life situations. While extensive research has been conducted to improve positioning accurac

In recent years, since the cloud can provide tremendous advantages regarding storage and computing resources, the industry has been motivated to move industrial control systems to the cloud. However, the cloud also introduces significant security challenges since moving control systems to the cloud can enable attackers to infiltrate the system and establish an attack that can lead to damages and d

We built machine learning and image analysis tools in order to forecast winter wheat yield based on a rich multi dimensional tensor of agricultural information spanning different scales. This information consists of satellite multi-band images, local soil samples obtained from national databases, local weather as well as field data from 23 farms cultivating winter wheat in southern Sweden. This is

Recension av avhandlingen “Den ofrivilla lyssnaren” av Olle StenbäckReview of the dissertation “Den ofrivilla lyssnaren” by Olle Stenbäck

[Background/Context] AI assistants like GitHub Copilot are transforming software engineering; several studies have highlighted productivity improvements. However, their impact on code quality, particularly in terms of maintainability, requires further investigation. [Objective/Aim] This study aims to examine the influence of AI assistants on software maintainability, specifically assessing how the

Our researchers and technical personnel You find all our researchers and information about their research in Lund University's research portal. You also find all our technical personnel there. Addresses We are situated in three different buildings. These are our visiting and delivery addresses. Reception desk Biology LibraryEcology BuildingTelephone: +46 46 222 38 12E-mail: Biologibiblioteket [at]

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Syftet med denna studie är att jämföra kommunikationsstrategier i tre olika församlingar, som verkar i olika kontexter, för att få en startpunkt för att svara på frågan varför medlemmar lämnar Svenska kyrkan i en takt av 1,6% per år. Det är viktigt för församlingarna att bli sedda som en positiv och ansvarstagande organisation som bidrar till det lokala samhället och dess innevånare. Klarar inte fThe purpose of this thesis is to study and compare communication strategies in three different parishes located in three quite different contexts to get a starting point to answering questions concerning the rate of members leaving the Swedish church, 1.6% per year. It is of outmost importance for a parish to be regarded as a positive and responsible organisation contributing to the local communit

Hållbar utveckling, som i svensk rätt används synonymt med det internationella begreppet CSR, bygger i grunden på fyra områden: mänskliga rättigheter, miljö, arbetsrätt och anti-korruption. Regeringskansliet publicerade år 2013 publikationen ”Hållbart företagande – Plattform för svenskt agerande” i syfte att fastställa hur svensk rätt ser på begreppet hållbar utveckling, vilka värderingar och hur Sustainable development, as in Swedish law is used synonymously with the international term CSR, is essentially based on four areas: human rights, environmental, labour and anti-corruption. The Swedish Government Offices published in year 2013 the publication "Sustainable business - Platform for Swedish action", in order to determine how the Swedish law looks at the concept of sustainabl

This chapter explains that the causation inquiry performed by the European Court of Human Rights for determining breach of positive obligations has to be understood in light of the normative structural considerations that underpin state responsibility under the European Convention on Human Rights (ECHR). In particular, the responsibility system is not shaped by the corrective justice rationale tha