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The growing demand to lower greenhouse gas emissions and transition from fossil fuels, has put methanol in the spotlight. Methanol can be produced from renewable sources and has the property of burning almost soot-free in compression ignition (CI) engines. Consequently, there has been a notable increase in research and development activities directed towards exploring methanol as a viable substitu

This study presents a measurement campaign with an ultra-large-scale antenna array in both Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) outdoor scenarios. Measurements were conducted at a center frequency of 15 GHz with a bandwidth of 4 GHz. A virtual 40×40 planar antenna array, formed by moving a vertically-polarized bi-conical omni-directional antenna (ODA) along regularly spaced grids, was

The increasing need to reduce greenhouse gas emissions and shift away from fossil fuels has raised an interest for methanol. Methanol can be produced from renewable sources and can drastically lower soot emissions from compression ignition engines (CI). As a result, research and development efforts have intensified focusing on the use of methanol as a replacement for diesel in CI engines. The issu

This work demonstrates the utility of dual-arm robots with dual-wrist force-torque sensors in manipulating a Deformable Linear Object (DLO) within an unknown environment that imposes constraints on the DLO’s movement through contacts and fixtures. We propose a strategy to estimate the pose of unknown environmental contacts encountered during the manipulation of a DLO, classifying the induced const

Alternative fuels, such as natural and bio-gas, are attractive options for reducing greenhouse gas emissions from combustion engines. However, the naturally occurring variation in gas composition poses a challenge and may significantly impact engine performance. The gas composition affects fundamental fuel properties such as flame propagation speed and heat release rate. Deviations from the gas co

This paper investigates the use of decentralised control architectures with heterogeneous dynamics for improving performance in large-scale systems. Our focus is on two well-known decentralised approaches; the 'predecessor following' and 'bidirectional' architectures for vehicle platooning. The former, utilising homogeneous control dynamics, is known to face exponential growth in disturbance ampli

Three-dimensional Large Eddy Simulations (LES) are conducted on a non-premixed hydrogen-air annular rotating detonation combustor (RDC). A 22-step finite-rate chemistry reaction mechanism and a flow solver previously developed for high-speed reacting flow are used to perform the LES’. The selected case is an RDC designed by the US Air Force Research Laboratory and has been studied experimentally a

https://www.keg.lu.se/sites/keg.lu.se/files/2023-12/Schema_SGEG20-Del1-V24.pdf - 2026-05-08

Semiconductor technology constantly advances, enabling integrated circuits (ICs) with increasingly numerous, faster, and smaller transistors. While this progress offers many benefits, it also presents new challenges, such as tighter margins, wear-outs, and process variations. To effectively tackle these challenges, the conventional approach of using external test instruments during manufacturing t

The growing utilization of second homes has led to extended heating periods and, to some extent, renovations to enhance their standards, resulting in increased energy and resource consumption. This study, conducted in Sweden, investigates user patterns across various seasons, heating systems, and implemented energy renovation measures. Findings reveal that 40% of second homes in winter sport areas

https://www.cec.lu.se/sv/sites/cec.lu.se.sv/files/2024-06/Schema%20MVEB16%20VT24%20240319.xlsx - 2026-05-07

https://www.sam.lu.se/en/internal/sites/sam.lu.se.en.internal/files/2024-01/SGR017F.pdf - 2026-05-08

Doktorand Kontaktinformation E-post: yael [dot] bartana [dot] 7044 [at] khm [dot] lu [dot] seOrganisation Konsthögskolan i Malmö WebbplatsYael Bartanas profil i Lunds universitets forskningsportalYael Bartana har länge varit en av världens mest signifikanta och framstående konstnärer. Hon har deltagit i en lång rad internationellt viktiga konstutställningar, däribland Venedigbiennalen 2011, MoMA,

https://www.khm.lu.se/yael-bartana - 2026-05-08

Neural implicit representations have recently become popular in simultaneous localization and mapping (SLAM), especially in dense visual SLAM. However, existing works either rely on RGB-D sensors or require a separate monocular SLAM approach for camera tracking, and fail to produce high-fidelity 3D dense reconstructions. To address these shortcomings, we present NICER-SLAM, a dense RGB SLAM system

Distributed massive MIMO systems are expected to be part of the upcoming generation of wireless systems where joint communication and positioning opens the possibility of exploring new applications. In this work we investigate one of the various ways of deploying these kinds of systems, through the concept of Large Intelligent Surfaces (LISs). Although the concept of LISs is not completely novel,

In the rapidly advancing domain of autonomous vehicle technology, the management of intersection traffic emerges as a demanding challenge. This paper describes the development and implementation of a novel testbed designed for the investigation of an autonomous intersection management system (AIMS). The research primarily focuses on the complex coordination required among autonomous vehicles for e

https://www.sam.lu.se/en/internal/sites/sam.lu.se.en.internal/files/2024-01/Schedule%20SGR017F.pdf - 2026-05-08

https://www.graduateschool.sam.lu.se/sites/graduateschool.sam.lu.se/files/2024-11/Protokoll%20Graduate%20School%20na%CC%88mnden%20240926.pdf - 2026-05-08

This paper explores uncertainties experienced by suppliers involved in their customers' product development projects. The study introduces a model for classifying different types of involvement, which is used to identify uncertainties and effects across the various types. Empirical data originates from a multiple case study involving four SME suppliers. Four types of uncertainty are identified. Th

We study stochastic interaction network models whereby a finite population of agents, identified with the nodes of a graph, update their states in response to pairwise interactions with their neighbors as well as spontaneous mutations. These include the main epidemic models, such as the Susceptible-Infected -Susceptible, the Susceptible-Infected-Recovered, and the Susceptible-Infected-Recovered-Su