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Permanent Magnet Synchronous Motor (PMSM) is a main component in electrical aircraft and electric vehicles. Due to its advantages, it is gaining the attention of manufacturers. This machine is highly efficient and reliable. It has a high torque to weight ratio. Due to its criticality in application, we need to detect the faults at the initiation stage. The faults associated with PMSM can be electr
https://www.iac.lu.se/previous-projects/2025 - 2026-10-25
Our research aims to develop an intelligent control system for optimizing the operation of lighting systems for a jogging track in the countryside by using adaptive control methods, and optimization of built-in lighting control. Through this, lighting systems will be optimized, energy consumption will be minimized and the lighting system will be adapted to be able to handle a larger amount of loca
https://www.ai.lu.se/education/courses - 2026-10-25
The newsletters are sent every other week and contain either news and information about relevant events or important internal updates. If you’ve missed an issue or can’t find it in your inbox, you can always read the newsletters on this webpage.Feel free to contact the newsletter editor, Peter Kjällkvist, if you have any feedback or suggestions for content. LUSEM Messages LUSEM Messages 2026:7 15
https://www.lusem.lu.se/internal/news/lusem-staff-news - 2026-10-25
En stad är inte endast en fysisk bild av dess gator och hus. Vi människor har också en egen relation till en stad, ett slags djupare existentiellt förhållande. Därför finns heller inte en berättelse om staden, utan flera - samtida - och ofta djupt personliga.
This review examines how coordination is infrastructured in digital health ecosystems where technologies, institutions, and practices intersect across organisational and professional boundaries. Drawing on a systematic analysis of the literature, we identify three interdependent infrastructural layers: technological, informational, and institutional, and four recurring processes through which coor
Systolic arrays (SAs) for matrix multiplication are commonly used in machine learning (ML), wireless communication, and signal processing. Inherently offering high throughput with good data reuse, they are well-positioned for both low-power edge devices and accelerator applications in high-performance computing. Current realizations suffer from startup latency, defined as the time required to full
The electrification of long-haul freight transport is essential for reducing emissions and achieving sustainable mobility. However, battery-electric trucks (BETs) face significant barriers, including limited range, high battery weight, and prolonged charging times, which hinder their widespread adoption for long-distance travel. Electric Road Systems (ERS) offer a compelling solution by providing
Collaborating with highly skilled professionals in participatory design of machine learning (ML) and visualization tools presents unique challenges. This paper reflects on interdisciplinary projects involving medicine, biology, and the social sciences, where ML was introduced to support complex data analysis and segmentation tasks, sometimes from the outset and other times as a later addition. Des
We perform a validation analysis on the multipolar model of opinion dynamics. A general methodology for using the model on datasets of two correlated variables is proposed and tested using data on the relationship between COVID-19 vaccination rates and political participation in Sweden. The model is shown to successfully capture the opinion segregation demonstrated by the data and spatial correlat
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
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
