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Specular flashes from insect wings are useful for remote diversity assessment, yet their duration limits and constraining factors remain unknown. We studied this using sampling rates in entomological lidar system up to 40 kHz, resolving quick wing flashes down to 130μs duration from 40 m.
We recently proposed a quantitative group testing (GT) scheme with low-complexity peeling decoding based on low-density parity-check (LDPC) codes. Based on finite length simulations and a density evolution analysis we were able to demonstrate that simple (dv,dc)-regular LDPC codes can be more efficient for GT than existing generalized LDPC (GLDPC) code constructions based on BCH component codes. E
Quality requirements are critical for successful software engineering, with maintainability being a key internal quality. Despite significant attention in software metrics research, maintainability has attracted surprisingly little focus in the Requirements Engineering (RE) community. This position paper proposes a synergistic approach, combining code-oriented research with RE expertise, to create
This paper presents a novel optimization strategy for fitting the Jiles-Atherton (JA) hysteresis model to experimental stator yoke core loss measurements and locked-rotor IPMSM calculations. The first study aims to identify a single set of JA model parameters that track sample core losses at different magnetization levels at a given frequency: the analytical model is compared with finite element m
Situation awareness in driving involves detection of events and environmental changes. Failure in detection can be attributed to the density of these events in time, amongst other factors. In this research, we explore the effect of temporal proximity, and event duration in a change detection task during driving in VR. We replicate real-world interaction events in the streetscape and systematically
We present the building blocks of an energy-efficient on-chip platform for neural network applications based on III-V semiconductor nanowires and nanopillar arrays. These will work as emitting and detecting neurosynaptic nodes for spiking nanocircuits, as light sensors that emulate navigational properties of insect vision systems.
Robotic systems for manipulation tasks are increasingly expected to be easy to configure for new tasks. While in the past, robot programs were often written statically and tuned manually, the current, faster transition times call for robust, modular and interpretable solutions that also allow a robotic system to learn how to perform a task. We propose the method Behavior-based Bayesian Optimizatio
Transport electrification in Sweden is moving at a fast pace. Grid impact studies from EVs predominantly consider low-voltage grids. However, as the share of electric cars is rapidly increasing, potential grid impact at higher voltage levels needs to be considered. This paper presents a probabilistic approach to generate aggregated charging profiles for home charging at a sub-transmission grid lev
The physical layer foundations of cell-free massive MIMO (CF-mMIMO) have been well-established. As a next step, researchers are investigating practical and energy-efficient network implementations. This paper focuses on multiple sets of access points (APs) where user equipments (UEs) are served in each set, termed a federation, without inter-federation interference. The combination of federations
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 - 2026-05-23
This study presents a novel approach using Gaussian process model predictive control (MPC) to stabilize the output voltage of a polymer electrolyte fuel cell (PEFC) by regulating hydrogen and airflow rates. Two Gaussian process models capture PEFC dynamics, accounting for constraints like hydrogen pressure and input change rates to reduce predictive control errors. The performance of the physical
We deal with a control problem for a complex social network in which each agent has an action and an opinion, evolving according to a coevolutionary model. In particular, we consider a scenario in which a committed minority - a set of stubborn nodes - aims to steer a population, initially at a consensus, to a different consensus state. Our study focuses on determining the conditions under which su
