Tootfinder

How personality and memory of a robot can influence user modeling in Human-Robot Interaction
Benedetta Matcovich, Cristina Gena, Fabiana Vernero
https://arxiv.org/abs/2406.10586 <…

How personality and memory of a robot can influence user modeling in Human-Robot Interaction
In recent years, robotics has evolved, placing robots in social contexts, and giving rise to Human-Robot Interaction (HRI). HRI aims to improve user satisfaction by designing autonomous social robots with user modeling functionalities and user-adapted interactions, storing data on people to achieve personalized interactions. Personality, a vital factor in human interactions, influences temperament, social preferences, and cognitive abilities. Despite much research on personality traits influenc…

Some contributions to Lagrangian modelling of Power Converters
Shakir Showkat Sofi, Mosaib Ul Munieeb, Fazil Bashir, Munieeb Ul Hassan, Shahkar Ahmad Nahvi
https://arxiv.org/abs/2406.09826

Some contributions to Lagrangian modelling of Power Converters
Lagrangian modelling can be used to derive mathematical models for complex power electronic converters. This approach uses scalar quantities (kinetic and potential energy) to derive models, which is simpler than using (vector-based) force balance equations. It employs generalized coordinates, making it easier to deal with complex systems with constraints. This systematic approach results in equations that can be expressed in state-space form, which allows for the simplification of the simulatio…

ukpol, Farage
So this one is straight out of the populist playbook.
Cut taxes, accuse foreigners of meddling in our politics.
Where on earth could well-known former racist party supporter Nigel Farage be going with this, I wonder?
#UKpol #ReformUK #Farage

Integrated Modeling, Verification, and Code Generation for Unmanned Aerial Systems
Jianyu Zhang, Long Zhang, Yixuan Wu, Linru Ma, Feng Yang
https://arxiv.org/abs/2406.09485

Integrated Modeling, Verification, and Code Generation for Unmanned Aerial Systems
Unmanned Aerial Systems (UAS) are currently widely used in safety-critical fields such as industrial production, military operations, and disaster relief. Due to the diversity and complexity of application scenarios, UAS have become increasingly intricate. The challenge of designing and implementing highly reliable UAS while effectively controlling development costs and enhancing efficiency is a pressing issue faced by both academia and industry. Addressing this challenge, this paper aims to in…

Deutsches Historisches Institut in Moskau unerwünscht
Das Deutsche Historische Institut in Moskau (DHI) ist von den russischen Behörden zur unerwünschten Organisation erklärt worden. Das Justizministerium der Russischen Föderation nahm das Institut nach einer Mitteilung vom Montag in die Liste von ausländischen und internationalen Nichtregierungsorganisationen auf, deren Tätigkeit in der Russischen Föderation als unerwünscht …
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Ukraine-Liveblog: ++ Putin entlässt vier Vize-Verteidigungsminister ++
Russlands Staatschef Putin hat vier stellvertretende Verteidigungsminister ihrer Ämter enthoben. Das ukrainische Militär meldet Erfolge gegen die Luftverteidigung auf der Krim. Alle Entwicklungen im Liveblog.

If a #Labour government did abolish the #TwoChildCap across the UK, what consequences would that have for the #Scottish budget? This document suggests that the whole benefit would be passed on to families…

Child poverty cumulative impact assessment: update
This report estimates the impact of Scottish Government policies on child poverty, updating the modelling that was originally undertaken for the second Tackling Child Poverty Delivery Plan.

Unfolding Time: Generative Modeling for Turbulent Flows in 4D
Abdullah Saydemir, Marten Lienen, Stephan G\"unnemann
https://arxiv.org/abs/2406.11390 h…

Unfolding Time: Generative Modeling for Turbulent Flows in 4D
A recent study in turbulent flow simulation demonstrated the potential of generative diffusion models for fast 3D surrogate modeling. This approach eliminates the need for specifying initial states or performing lengthy simulations, significantly accelerating the process. While adept at sampling individual frames from the learned manifold of turbulent flow states, the previous model lacks the capability to generate sequences, hindering analysis of dynamic phenomena. This work addresses this lim…

@… IMO “utils”, “misc”, etc. all smell like a problem domain in need of better modeling, that people are just avoiding to deal with.

This https://arxiv.org/abs/2405.11335 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Detecting Complex Multi-step Attacks with Explainable Graph Neural Network
Complex multi-step attacks have caused significant damage to numerous critical infrastructures. To detect such attacks, graph neural network based methods have shown promising results by modeling the system's events as a graph. However, existing methods still face several challenges when deployed in practice. First, there is a lack of sufficient real attack data especially considering the large volume of normal data. Second, the modeling of event graphs is challenging due to their dynamic and h…

This https://arxiv.org/abs/2406.05931 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Differentiable Discrete Elastic Rods for Real-Time Modeling of Deformable Linear Objects
This paper addresses the task of modeling Deformable Linear Objects (DLOs), such as ropes and cables, during dynamic motion over long time horizons. This task presents significant challenges due to the complex dynamics of DLOs. To address these challenges, this paper proposes differentiable Discrete Elastic Rods For deformable linear Objects with Real-time Modeling (DEFORM), a novel framework that combines a differentiable physics-based model with a learning framework to model DLOs accurately a…