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Validation of a POMDP Framework for Interaction-aware Trajectory Prediction in Vehicle Safety
No full textOptimizing Agri-PV System: Systematic Methodology to Assess Key Design Parameters
No full textAgrivoltaic (Agri-PV) systems face the critical challenge of balancing photovoltaic energy generation with crop productivity, yet systematic approaches to quantifying the trade-offs between these objectives remain scarce. In this study, we identify nine essential design indicators: panel tilt angle, elevation, photovoltaic coverage ratio, shading factor, land equivalent ratio, photosynthetically active radiation (PAR) utilization, crop yield stability index, water use efficiency, and return on investment. We introduce a novel dual matrix Analytic Hierarchy Process (AHP) to evaluate their relative significance. An international panel of eighteen Agri-PV experts, encompassing academia, industry, and policy, provided pairwise comparisons of these indicators under two objectives: maximizing annual energy yield and sustaining crop output. The high consistency observed in expert responses allowed for the derivation of normalized weight vectors, which form the basis of two Weighted Influence Matrices. Analysis of Total Weighted Influence scores from these matrices reveal distinct priority sets: panel tilt, coverage ratio, and elevation are most influential for energy optimization, while PAR utilization, yield stability, and elevation are prioritized for crop productivity. This methodology translates qualitative expert knowledge into quantitative, actionable guidance, clearly delineating both synergies, such as the mutual benefit of increased elevation for energy and crop outcomes, and trade-offs, exemplified by the negative impact of high photovoltaic coverage on crop yield despite gains in energy output. By offering a transparent, expert-driven decision-support tool, this framework enables practitioners to customize Agri-PV system configurations according to local climatic, agronomic, and economic contexts. Ultimately, this approach advances the optimization of the food energy nexus and supports integrated sustainability outcomes in Agri-PV deployment
Through the Looking-Glass: The Current AI Landscape in German Hospitals from a Cybersecurity Perspective
No full textV2X-Gaussians: Gaussian Splatting for Multi-Agent Cooperative Dynamic Scene Reconstruction
No full textChatGPT as a Subject Matter Expert in the Parameterization of Bayesian Network Classifiers
No full textTowards a Metric to Assess Neural Network Resilience Against Adversarial Samples
No full textNeural networks are vulnerable to adversarial attacks. Existing robustness evaluation methods have notable limitations, which makes robustness assessment challenging. This work explores robustness evaluation techniques and identifies key factors, including distance metrics, loss functions, attack generation algorithms, attacker models, specificity, and computational resources. Building on those factors, a novel robustness metric for classification tasks is proposed. Our metric accounts for both, targeted and untargeted attacks across three attacker models, while incorporating accuracy and loss into a weighted aggregation. The scoring includes robustness-versus-perturbation and loss-versus-perturbation curves. Our robustness metric offers a more reliable evaluation and deeper insights into model vulnerability compared to previous approaches
Application of Quantum Key Distribution in Intelligent Transport Systems
No full textQuantum Key Distribution (QKD) enables two parties to generate a secret key, based on quantum physical properties. The secrecy of the exchanged key is guaranteed by these quantum physical properties, even against an attacker using a quantum computer. QKD therefore offers an Quantum Information Theoretically Secure (Q-ITS) alternative to Post Quantum Cryptography (PQC) schemes. This paper discusses advantages and challenges of deploying a QKD system in an Intelligent Transport System (ITS), by examining two exemplary use cases. Approaches to effectively implement QKD in these use cases are proposed, with a short discussion of advantages over the use of classical and PQC schemes
THI Lehrvideo Community Handbook Version 1.0
No full textThis guidebook is offered as part of the THI Lehrvideocommunity Project. It is designed to assist both students and professors in producing high-quality videos for various purposes - from work and project presentation to peer education. It offers a useful starting point if you are facing such task for the first time, as well as potential avenues for improvement for those already more experienced