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Huminfra is a distributed national infrastructure led by Lund University, which brings together 12 nodes in the domains of digital and experimental Humanities. In its first year of existence, Huminfra has established an organisational management structure at multiple levels, drawn up policy documents, routines and workflows, and held consortium meetings as well as smaller more focused node meeting
The AI Act marks a new chapter in AI governance, affecting companies around the world seeking to offer their services within the European Union. This study focuses on the comprehensive AI Act requirements set out for high-risk AI systems. We explored the perceived compliance challenge for the AI Act's high-risk requirements and associated contributing factors; the AI Act's impact on industry in te
This paper presents an in-depth analysis of the stability and performance of control systems experiencing sensor timing misalignments, a common challenge in practical applications such as autonomous vehicles and aerospace systems. We model multichannel sensor delays as independent random variables, capturing the variability of real-world systems where different sensors exhibit distinct and non-con
This paper presents a novel adaptive autotuning strategy for controlling the pH in microalgae raceway reactors, a critical variable in optimizing biomass productivity under dynamic environmental conditions. The method expands on existing relay-based autotuning principles, tailored to suit the seasonally variable dynamics of microalgae cultivation systems influenced by CO2 injection and photosynthe
Finding local features that are repeatable across multiple views is a cornerstone of sparse 3D reconstruction. The classical image matching paradigm detects keypoints per-image once and for all, which can yield poorly-localized features and propagate large errors to the final geometry. In this article, we refine two key steps of structure-from-motion by a direct alignment of low-level image inform
In this chapter, we explore mathematical tools for assessing the stability, convergence, and boundedness of trajectories in generally nonlinear dynamical systems. We delve into the seminal theorems introduced by A. Lyapunov which are primarily concerned with the stability of equilibrium points. The chapter progresses to discuss the extension of Lyapunov's Theory, due to LaSalle, aimed at assessing
This paper presents a decentralized strategy for a team of N robotic manipulators cooperatively grasping and manipulating an object. A two-step strategy has been designed. In the first step, each robot runs N − 1 consensus-based estimators to estimates the wrenches applied to the object by its teammates even when direct all-to-all communication is unavailable. In the second step, each manipulator
Resource provisioning for applications hosted in the cloud is a difficult task due to inherent performance variability in the infrastructure. Control theory has proven to be an efficient tool to increase the predictability of cloud applications. However, a prerequisite for a successful control design is an adequate model of the involved dynamics. In this paper we focus on modeling of controlled se
This paper presents a method for online estimation of contact properties during in-hand sliding manipulation with a parallel gripper. We estimate the static and Coulomb friction as well as the contact radius from tactile measurements of contact forces and sliding velocities. The method is validated in both simulation and real-world experiments. Furthermore, we propose a heuristic to deal with fast
Modern real-time control systems can sporadically exceed the computation deadlines, which may lead to a deterioration in performance or even instability if not actively accounted for. This letter proposes a stochastic model predictive control approach that incorporates deadline miss probabilities of subsequent control task executions in a scenario tree. To account for the effect of missed deadline
This is the Replicated Computational Results (RCR) Report for the article ‘Stress Testing Control Loops in Cyber-Physical Systems’. The article proposes a novel approach for testing Cyber-Physical Systems (CPS) based on the integration of the guarantees that can be provided with the control theoretical models into the software testing practices. This RCR report describes how to reproduce the empir
Dynamic task offloading is essential for real-time robotic applications, enabling them to adapt to fluctuating computational demands and maintain efficiency under changing conditions. This paper introduces a dynamic task offloading framework that incorporates monitoring, decision making, offloading triggering, and performance monitoring to optimize resource usage by offloading real-time tasks to e
INTRODUCTION: The optimal depth for decompression stops is unclear. We hypothesize that a decompression stop at 1.3 bar, compared with 1.6 bar, decreases post-dive whole-body nitrogen washout volumes and venous gas emboli (VGE).METHODS: In this randomized crossover trial, divers performed wet air dives of 40 minutes at 3.4 bar (340 kPa) with a seven-minute-long decompression stop at either 1.3 bar
BackgroundSurgical services were poorly prepared for the COVID-19 pandemic, leading to widescale disruption to elective activity. This study aimed to identify actionable priorities to strengthen pandemic preparedness of surgical and hospital systems.MethodsThis study pooled data from three international, prospective cohort studies including patients who had a positive SARS-CoV-2 test result in the
The need for information about climate change is great. This information is usually based on climate model data, which often have systematic biases. Furthermore, climate information is based on ensembles of climate models, which raises the question about how such ensembles are affected by the choice of models and emission scenarios. Here, we aim to describe climate change in Sweden and neighbourin
The radiative properties of clouds depend partially on the cloud droplet number concentration, which is determined by the concentration of cloud condensation nuclei (CCN) when the clouds are formed. In turn, CCN concentrations are determined by the atmospheric particle size distribution and their chemical composition. We use a novel Lagrangian modelling framework to examine the origins and history
SAL 243 Kandidatkurs GEOL01 Seminarier måndag 30 maj Tid Student Titel Handledare Exami nator 09:00- 09:15 Uppladdning av förmiddagens presentationer 09:15- 09:30 Elaine Rydberg Gummigranulat - Ett alternativt material. Helsingborgs kommun, Dan H Helena F 09:30- 09:45 Tina Liesirova Influences of sulfides on sediment nitrogen cycling processes J. Caffrey, S. Bonaglia, D. Conley Christina R 09:45-
https://www.geologi.lu.se/sites/geologi.lu.se/files/schema_presentationer_2016.pdf - 2026-07-18
Formas’ Handbook 2011 Formas’ Handbook 2014| 1 Formas Handbook 2014 Formas’ Handbook 2014| 2 Formas Handbook 2014 - for applicants and reviewers Formas’ Handbook 2014| 3 TABLE OF CONTENTS FORMAS’ HANDBOOK FOR APPLICANTS AND REVIEWERS ......................................... 5 1. NEWS ..................................................................................................................
https://www.lub.lu.se/en/sites/lub.lu.se.en/files/140306_formas_handbook_2014.pdf - 2026-07-18
Utvecklingsenheten Postadress Campus Helsingborg Box 882, 251 08 Helsingborg Besöksadress Universitetsplatsen 2, 252 25 Helsingborg Telefon, 042-35 65 19, 042- 35 65 00 (växel) E-post carola.fors@ch.lu.se Webbadress www.ch.lu.se 1 (5) Minnesanteckningar från Campusgruppsmöte 2025-06-04 Närvarande: Magnus Adenskog Utvecklingsenheten Julia Luttrup Utvecklingsenheten Nina Smiseth Biblioteket Petra La
https://www.ch.lu.se/internt/sites/ch.lu.se.internt/files/2025-06/Campusgruppen%2020250604%20minnesant.pdf - 2026-07-18
