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What if Women Ruled the World? Yael Bartana stages this question in her performative piece Two Minutes to Midnight. The all-female government of a fictional nation is tasked with addressing an imminent nuclear threat posed by a foreign power. A panel composed of actresses and real-life experts in defense, law, politics, and psychology gathers in a democratic “peace room.” This space reflects the t
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
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
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
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
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
In this paper, we unify two already published results on state feedback H-infinity optimality. Previously, optimality has been shown for a particular controller structure in the case that the open-loop state matrix is symmetric, as well as in the case that the closed-loop system is internally positive. By contrast, the main result of the present paper gives optimality based on neither of these two
In this paper, we present a multipath-based simultaneous localization and mapping (SLAM) algorithm that con-tinuously adapts mulitiple map feature (MF) models describing specularly reflected multi path components (MPCs) from flat surfaces and point-scattered MPCs, respectively. We develop a Bayesian model for sequential detection and estimation of interacting MF model parameters, MF states and mob
This paper reports and demonstrates a packetponder for access/metro node consolidation and aggregation using common-form-factor pluggables (CFFP), which can simplify edge network architectures.
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 - 2026-05-19
Alternative jet fuels can be radically different from conventional fuels in composition, and the consequences of these differences are a subject of ongoing research. Numerical combustion simulations are vital to this research, and require chemical reaction mechanisms that accurately capture the chemical pathways of combustion. For turbulent combustion, these mechanisms must also be compact and eff
This study aims to compare the effectiveness of different Pharmacokinetic-Pharmacodynamic (PK-PD) models for administering Propofol and Remifentanil, two critical agents in anesthesia. Initially, different PK models were introduced: one for Propofol based on the Schnider model and another for Remifentanil using the Minto model. Alternatively, both drugs were modeled using the Eleveld models. The P
