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27th International Conference on Interactive Collaborative Learning, ICL 2024

作者： Lamalif, Latifa Machkour, Mounia Faris, Sophia Mansouri, Khalifa Laboratory of Modelling and Simulation of Intelligent Industrial Systems ENSET Hassan II University of Casablanca Casablanca Morocco

ISBN: (纸本)9783031835223

This research examines the integration of information and communication technologies in education (ICTE) among teachers, as part of an exploration to evaluate a global model for the successful implementation of ICTE in education. The results revealed widespread adoption of ICTE by teachers, with the majority having used these technologies over a long period of time (60%), testifying to their growing recognition in pedagogical practices. Teachers also noted a positive impact of ICTE on learners’ skills (76%), although there were discrepancies as to their effect on student engagement and motivation). At the same time, challenges remain, including the limited availability of equipment in schools (58%), and the ongoing need for teacher training and support. Overall, this research highlights the growing importance of ICTE in education, while underlining the challenges and professional development needs for more effective integration of these technologies into educational practic. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Educational technology

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Development and Plausibility Assessment of an Active Human Body Model in Numerical Cyclist to Vehicle Collision simulations based on Real-life Accident Data

Development and Plausibility Assessment of an Active Human B...

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2024 International Research Council on the Biomechanics of Injury, IRCOBI 2024

作者： Trube, Niclas Lerge, Patrick Nölle, Lennart V. Mönnich, Jörg Lich, Thomas Schmitt, Syn Germany Institute for Modelling and Simulation of Biomechanical Systems University of Stuttgart Germany Robert Bosch GmbH Germany

Finite element (FE) human body models (HBMs) have been used in the past to investigate injury biomechanics of road users in simulations based on accident data and were validated with postmortem human subject data. Recent HBM developments increasingly implement activatable musculature in both occupant and pedestrian applications because they show a significant difference in kinematics and injury biomechanics compared to passive HBMs (PHBMs). In this study, an active FE HBM (AHBM) was developed by incorporating 658 controlled Hill-type muscles adapted from a scalable muscle driven multibody HBM into the Total HUman Model for Safety (THUMSTM) V4.02 AM50 Pedestrian, allowing for stabilisation of the pre-impact position and for the assessment of muscle injuries. Using a previously developed method, multiple accident cases were replicated numerically and model prediction of kinematics, collision points and injuries were compared to the accident case documentation and to the PHBM results. The AHBM results agreed very well with the accident data overall, but not as well as the PHBM in terms of injury prediction. Strain-based injury assessment for the pelvis further suggests that the femoral head's position in the acetabulum is not entirely physiologically valid, which should be considered in future HBM and AHBM development. © 2024 International Research Council on the Biomechanics of Injury. All rights reserved.

关键词： Muscle

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TOWARDS A DIGITAL TWIN FOR EMERGENCY RESPONSE: A HYBRID simulation FOR MULTI-SECTORAL RESOURCE ALLOCATION 12

TOWARDS A DIGITAL TWIN FOR EMERGENCY RESPONSE: A HYBRID SIMU...

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12th Operational Research Society simulation Workshop 2025, SW 2025

作者： Chen, Otto Mustafee, Navonil Khoury, Mehdi Evans, Barry Lewis, Gareth Li, Qian Chen, Albert S. Djordjevic, Slobodan Vamvakeridou-Lyroudia, Lydia Savic, Dragan A. Centre for Simulation Analytics & Modelling United Kingdom Centre for Water Systems University of Exeter United Kingdom Centre for Simulation Analytics & Modelling Business School University of Exeter United Kingdom KWR Water Research Institute Nieuwegein Netherlands

ISBN: (纸本)9798331315078

Effective emergency response planning is vital for regional climate resilience, requiring coordination across multiple government sectors. Collective management of emergency resources enhances allocation efficiency at a regional scale, overcoming local constraints. However, prioritisation becomes challenging when resources are shared collectively. Evolving emergency events further complicate forecasting future demands, as shortages trigger the need for external support whilst increasing estimation uncertainty. To address these challenges, we implemented an emergency response Digital Twin, integrating a Resource Allocation Model with short-term weather-related predictions and real-time updates. This paper focuses on the model’s application within a hybrid simulation framework, tested in a flooding case study in Torbay, UK. The approach enables a holistic assessment of emergency response by leveraging collective resource advantages whilst considering cascading infrastructure failures. By improving resource distribution and resilience strategies, the model supports more effective decision-making for regional emergency preparedness. © 2025 SW 2025 - OR Society 12th simulation Workshop, Proceedings. All rights reserved.

关键词： Digital elevation model

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CC@BCN@PANI core-shell nanoarrays as ultra-high cycle stability cathode for Zn-ion hybrid supercapacitors

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Frontiers in Energy 2023年第4期17卷 555-566页

作者： Shixian XIONG Hongcheng KE Lei CAO Yu WANG Qian ZHU Liqin ZHONG Lanlan FAN Feng GU Nanchang Key Laboratory for Advanced Manufacturing of Electronic Information Materials and Devices/Jiangxi Provincial Key Laboratory for Simulation and Modelling of Particulate Systems International Institute for InnovationJiangxi University of Science and TechnologyNanchang330013China

Exploring cathode materials that combine excellent cycling stability and high energy density poses a challenge to aqueous Zn-ion hybrid supercapacitors(ZHSCs).Herein,polyaniline(PANI)coated boron-carbon-nitrogen(BCN)nanoarray on carbon cloth surface is prepared as advanced cathode materials via simple high-temperature calcination and electrochemical deposition *** of the excellent specific capacity and conductivity of PANI,the CC@BCN@PANI core-shell nanoarrays cathode shows an excellent ion storage ***,the 3D nanoarray structure can provide enough space for the volume expansion and contraction of PANI in the charging/discharging cycles,which effectively avoids the collapse of the microstructure and greatly improves the electrochemical stability of ***,the CC@BCN@PANI-based ZHSCs exhibit superior electrochemical performances showing a specific capacity of 145.8 mAh/g,a high energy density of 116.78 Wh/kg,an excellent power density of 12 kW/kg,and a capacity retention rate of 86.2%after 8000 charge/discharge cycles at a current density of 2 A/*** addition,the flexible ZHSCs(FZHSCs)also show a capacity retention rate of 87.7%at the current density of 2 A/g after 450 cycles.

关键词： CC@BCN@PANI cathode Zn-ion hybrid supercapacitor core-shell nanoarrays high energy density ultra-high cycle stability

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Representation of the Elderly Population with Active Human Body Models 37

Representation of the Elderly Population with Active Human B...

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37th International Cosmic Ray Conference, ICRC 2021

作者： Banik, Tanmoy Nölle, Lennart V. Schmitt, Syn Martynenko, Oleksandr V. Institute for Modelling and Simulation of Biomechanical Systems University of Stuttgart Germany

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Data sharing in modeling and simulation of biomechanical systems in interdisciplinary environments

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GAMM Mitteilungen 2024年第2期47卷 e202370006-e202370006页

作者： Villota-Narvaez, Yesid Bleiler, Christian Röhrle, Oliver Institute for Modelling and Simulation of Biomechanical Systems Stuttgart Germany Stuttgart Germany

All digital objects that result from the modeling and simulation field are valid sets of research data. In general, research data are the result of intense intellectual activity that is worth communicating. This communication is an essential research practice that, whether with the aim of understanding, critiquing or further developing results, smoothly leads to collaboration, which not only involves discussions, and sharing institutional resources, but also the sharing of data and information at several stages of the research process. Data sharing is intended to improve and facilitate collaboration but quickly introduces challenges like reproducibility, reusability, interoperability, and standardization. These challenges are deeply rooted in an apparent reproducibility standard, about which there is a debate worth considering before emphasizing how the modeling and simulation workflow commonly occurs. Although that workflow is almost natural for practitioners, the sharing practices still require special attention because the principles (known as FAIR principles) that guide research practices towards data sharing also guide the requirements for machine actionable results. The FAIR principles, however, do not address the actual implementation of the data sharing process. This implementation requires careful consideration of characteristics of the sharing platforms for benefiting the most of the data sharing activity. This article serves as an invitation to integrate data sharing practices into the established routines of researchers and elaborates on the perspectives, and guidelines surrounding data sharing implementation. © 2024 The Authors. GAMM - Mitteilungen published by Wiley-VCH GmbH.

关键词： Reusability

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PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure Multi-Party Computation

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Proceedings of the ACM on Human-Computer Interaction 2024年第ETRA期8卷 1-23页

作者： Elfares, Mayar Reisert, Pascal Hu, Zhiming Tang, Wenwu Küsters, Ralf Bulling, Andreas Institute for Visualisation and Interactive Systems Institute of Information Security University of Stuttgart Germany Institute of Information Security University of Stuttgart Germany Institute for Visualisation and Interactive Systems Institute for Modelling and Simulation of Biomechanical Systems University of Stuttgart Germany University of Stuttgart GermanyRalf Küsters Institute of Information Security University of Stuttgart Germany Institute for Visualisation and Interactive Systems University of Stuttgart Germany

Latest gaze estimation methods require large-scale training data but their collection and exchange pose significant privacy risks. We propose PrivatEyes – the first privacy-enhancing training approach for appearance-based gaze estimation based on federated learning (FL) and secure multi-party computation (MPC). PrivatEyes enables training gaze estimators on multiple local datasets across different users and server-based secure aggregation of the individual estimators’ updates. PrivatEyes guarantees that individual gaze data remains private even if a majority of the aggregating servers is malicious. We also introduce a new data leakage attack DualView that shows that PrivatEyes limits the leakage of private training data more effectively than previous approaches. Evaluations on the MPIIGaze, MPIIFaceGaze, GazeCapture, and NVGaze datasets further show that the improved privacy does not lead to a lower gaze estimation accuracy or substantially higher computational costs – both of which are on par with its non-secure counterparts. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Risk perception

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Plausibility Assessment of Numerical Cyclist to Vehicle Collision simulations based on Accident Data

Plausibility Assessment of Numerical Cyclist to Vehicle Coll...

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2023 International Research Council on the Biomechanics of Injury, IRCOBI 2023

作者： Trube, Niclas Matt, Patrick Jenerowicz, Marcin Ballal, Niranjan Soot, Thomas Fressmann, Dirk Lazarov, Nikolay Moennich, Joerg Lich, Thomas Lerge, Patrick Nölle, Lennart V. Schmitt, Syn Germany DYNAmore GmbH Germany Robert Bosch GmbH Germany Institute for Modelling and Simulation of Biomechanical Systems University of Stuttgart Germany

According to recent traffic accidents statistics, the number of bicycle accidents has not been decreasing since 2010 and is even increasing in Germany. In the past, human body models were used to gain further insight into the kinematics and injury prediction for pedestrians and were validated for vehicle collisions based on post mortem human subject test data. As comparable validation data is not available for cyclists, data from accident databases offers the opportunity to compare simulation results with reality. In this study, three accidents were selected where the dimensions of the involved cyclist and vehicle matched those of the selected human body model (THUMS) and of the car model (Toyota Camry). The boundary conditions of the collision simulation were defined according to the GIDAS documentation. Data from the simulation on collision points, injury-inducing contact pairs and injury predictions were compared with GIDAS. The results of the simulations mostly matched the documented collision data very well. The data suggests that finite element simulation using state-of-the-art human body models can be used to reconstruct accident data, thus increasing trust in the simulation of collision scenarios, where a validation is currently not possible. © 2023 International Research Council on the Biomechanics of Injury. All rights reserved.

关键词： Biomechanics

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Optimizing Reflex-Based Neuromusculoskeletal Walking Model on Rough Terrain Reveals Increased Robustness and Key Stabilizing Reflexes

Optimizing Reflex-Based Neuromusculoskeletal Walking Model o...

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IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Elsa K. Bunz Louisa H. Pawusch Syn Schmitt Institute for Modelling and Simulation of Biomechanical Systems University of Stuttgart Stuttgart Germany

ISBN: (数字)9798350386523

ISBN: (纸本)9798350386530

Locomotion on rough terrain is one of the major challenges for bipedal robots, exoskeletons and prostheses. To rapidly counter unexpected perturbations humans rely on reflexive strategies. Reflexes have been leveraged in controlling orthoses or bipedal robots by using a reflex-based neuro-musculoskeletal model. However, the robustness of the used model to uneven ground is limited to step-down perturbations of max. 3 cm. Different extensions of the model have increased its robustness to unexpected step-down perturbations. In this work, we target the same perturbations, but instead of extending the model, we optimize its control parameters for walking on terrain with unexpected step-down perturbations. We find that without any sextension of the control, the model can cope with rough terrain with unexpected perturbations of up to 10 cm. A comparison of the control parameters reveals the key stabilizing reflexes. Namely, two reflexes exciting hip muscles based on pelvis tilt as well as a reflex increasing ankle dorsiflexion are adapted the most. These results show that the full potential of control approaches can only be unveiled when tuned to realistic environmental conditions and suggest adopting this approach for parameter tuning. Applications employing the reflex-based control architecture should consider adapting the key parameters we found to obtain greater robustness.

关键词： Legged locomotion Ankle Adaptation models Perturbation methods Muscles Robustness Pelvis Robots Tuning Hip

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DEP-RL: EMBODIED EXPLORATION FOR REINFORCEMENT LEARNING IN OVERACTUATED AND MUSCULOSKELETAL systems 11

DEP-RL: EMBODIED EXPLORATION FOR REINFORCEMENT LEARNING IN O...

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11th International Conference on Learning Representations, ICLR 2023

作者： Schumacher, Pierre Haeufle, Daniel F.B. Büchler, Dieter Schmitt, Syn Martius, Georg Max Planck Institute for Intelligent Systems Tübingen Germany Hertie-Institute for Clinical Brain Research Tübingen Germany Institute for Modelling and Simulation of Biomechanical Systems Stuttgart Germany

Muscle-actuated organisms are capable of learning an unparalleled diversity of dexterous movements despite their vast amount of muscles. Reinforcement learning (RL) on large musculoskeletal models, however, has not been able to show similar performance. We conjecture that ineffective exploration in large overactuated action spaces is a key problem. This is supported by our finding that common exploration noise strategies are inadequate in synthetic examples of overactuated systems. We identify differential extrinsic plasticity (DEP), a method from the domain of self-organization, as being able to induce state-space covering exploration within seconds of interaction. By integrating DEP into RL, we achieve fast learning of reaching and locomotion in musculoskeletal systems, outperforming current approaches in all considered tasks in sample efficiency and robustness. © 2023 11th International Conference on Learning Representations, ICLR 2023. All rights reserved.

关键词： Reinforcement learning

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