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Probed language-based assessments, where individuals describe their states using open-ended responses analyzed with Artificial Intelligence, have shown great promise for written language. But emotions are also conveyed through spoken language which might provide further assessment power to this method. Participants (N=645) were randomly assigned to watch a video clip of a church, shopping mall, or
Permanent Magnet Synchronous Motors (PMSMs) are becoming increasingly popular in traction applications. PMSMs have gained popularity due to their efficiency, compactness and excellent features related to control. This is mainly because of the permanent magnet placement in the rotor, which negates any additional rotor excitation, hence reducing energy losses considerably. This makes them more effic
Reusing building products is a feasible strategy for the construction and real estate industry to mitigate its climate impact. Sustainable reuse must be executed with quality assurance and defined responsibilities to encourage clients and avoid suboptimal outcomes. Despite the growing need to quality-assure reused products, there is limited research, particularly from an industry perspective. Prev
For many years, car antennas of various applications are co-integrated into the roof-mounted “shark fin” module. More recently, both hidden antennas and full glass roofs are becoming trendy in the car industry. Taken together, they point to the integration of car antennas into glass roof being an attractive car antenna solution. However, such a solution is challenging to realize due to the roof gl
The introduction of electric heavy trucks will lead to new charging power requirements on the power grid. This study examines how much charging power is required for the public fast charging of a fully electrified long-haul truck fleet. Probabilistic truck charging profiles are created using agent-based simulations, based on fully representative long-haul goods transport data from the study area.
As a prominent category of side-channel attacks (SCAs), plaintext-checking (PC) oracle-based SCAs offer the advantages of generality and operational simplicity on a targeted device. At TCHES 2023, Rajendran et al. and Tanaka et al. independently proposed the multiple-valued (MV) PC oracle, significantly reducing the required number of queries (a.k.a., traces) in the PC oracle. However, in practice
We introduce Thalassa, a framework designed to convert nonlinear systems of partial differential equations (PDEs) with a time-like component into tensor programs that solve these equations. These programs can run on GPUs as well as machine learning (ML) acceleration hardware, enabling scientific computing fields such as computational fluid dynamics, astrophysics, mechanics and biology to utilize a
We propose a new class of high-rate spatially coupled LDPC (SC-LDPC) codes based on the convolutional selforthogonal codes (CSOCs) first introduced by Massey. The SCLDPC codes are constructed by treating the irregular graph corresponding to the parity-check matrix of a systematic rate R=(n-1) / n CSOC as a convolutional protograph. The protograph can then be lifted using permutation matrices to ge
Motivated by the well established idea that collective wisdom is greater than that of an individual, we propose a novel learning dynamics as a sort of companion to the Abelson model of opinion dynamics. Agents are assumed to make independent guesses about the true state of the world after which they engage in opinion exchange leading to consensus. We investigate the problem of finding the optimal
Quadruped robots are currently a widespread platform for robotics research, thanks to powerful Reinforcement Learning controllers and the availability of cheap and robust commercial platforms. However, to broaden the adoption of the technology in the real world, we require robust navigation stacks relying only on low-cost sensors such as depth cameras. This paper presents a first step towards a ro
Digital control systems introduce unavoidable computational latencies. For some controllers this time delay inhibits practical use, even though they in theory could provide more efficient control. For example, solving an optimization problem each sampling period when using model predictive control. By sampling faster than the computation time and executing independent controllers on distributed ha
In this work, we study the problem of estimating the in-ear sound field using microphone measurements at nearby positions. Typically, the sound field is first interpolated to the position of the head under free-field assumptions, followed by filtering through pre-measured head-related transfer functions (HRTFs). While properties of free-field interpolation methods have been well studied with respe
This study investigates the incentives and barriers influencing AI ethics adoption in unregulated environments, drawing on semi‐structured interviews with AI professionals in Bangladesh. Our findings reveal that external pressures, such as international client requirements, drive companies to implement ethical measures, yielding both economic benefits and enhanced reputation. Conversely, tight dea
Post-compression of (sub)-picosecond laser pulses down to sub-100 fs durations has become a standard approach for high-peak-power sources at a high average power [1]. Here, we propose a new post-compression geometry suited for extreme temporal compression of energetic narrowband lasers, such as diode or electrically pumped four-level systems which can deliver kW-average powers [2], but typically e
Intense ultrashort-pulsed laser systems based on Ti:sapphire chirped pulse amplifiers (CPA) operating at 800 nm have been a workhorse of ultrafast science for several decades. More recently, driven by the progress in laser technology, sources with central wavelengths further in the infrared have emerged as powerful tools, in particular to generate soft X-ray (SXR) radiation via high-harmonic gener
Sparse tensor computations suffer from irregular memory access patterns that degrade cache performance. While software prefetching can mitigate this, existing compiler approaches lack the semantic insight needed for effective optimization. We present ASaP, an automatic software prefetching framework integrated within MLIR’s sparse tensor dialect. By leveraging semantic information-tensor formats a
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https://www.lusem.lu.se/internal/news/lusem-staff-news - 2026-04-29
In collaboration with GAGGENAU, the Master’s students from the Industrial Design program at Lund University School of Industrial Design delve into a diverse array of themes ranging from — Fire, Nomad Luxury, Kitchen Manifesto, and personal explorations. This collaboration challenges the designers to reinterpret fundamental concepts of living, cooking, and luxury within a modern context.Through the
https://www.industridesign.lth.se/en/lusid-x-gaggenau - 2026-04-29
https://www.ai.lu.se/education/courses - 2026-04-29
A multi-variable adaptive controller is derived as the explicit solution to a minimax dynamic game. The minimizing player selects the control action as a function of past state measurements and inputs. The maximizing player selects disturbances and model parameters for the underlying linear time-invariant dynamics. This leads to a Bellman equation that can be solved explicitly for the case with un
