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Since the beginning of the 2000s, Yael Bartana has investigated themes as national identity and religious tradition, collective traumas and the yearning for redemption, patriarchal power structures and promises of salvation. While the point of departure engages with the present, her oeuvre questions and proposes thoughts on how we can live together in a future that defies the shared burden of our

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

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

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.

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

In electric passenger vehicles with modest performance the drivetrain usually consists of one inverter, one electrical machine and a single-speed transmission. The inverter is typically a two-level inverter using either Si IGBT transistors with an anti-parallel Si diode, or a SiC MOSFET transistor with or without an anti-parallel diode. The benefits of selecting SiC MOSFET as semiconductor technol

Research connecting text and images has recently seen several breakthroughs, with models like CLIP, DALL•E 2, and Stable Diffusion. However, the connection between text and other visual modalities, such as lidar data, has received less attention, prohibited by the lack of text-lidar datasets. In this work, we propose LidarCLIP, a mapping from automotive point clouds to a pre-existing CLIP embeddin

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