1,723,519 research outputs found
Regime di efficacia della legge a partire dall’art. 20 TUR: riflessioni di un costituzionalista
No full textGoing Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Strain pre-extrapolation methods for shape sensing: A comparative study between modal virtual sensor expansion and smoothing element analysis
Full text linkReconstructing displacement fields from sparse strain measurements, commonly referred to as shape sensing, has become a key component in developing effective Structural Health Monitoring (SHM) systems and for enabling accurate digital twin representations of engineering structures. Among available techniques, the inverse Finite Element Method (iFEM) is widely used but typically requires a dense sensor network. To reduce this dependency, strain pre-extrapolation methods are employed. The most established approach is Smoothing Element Analysis (SEA), which performs well for simple geometries but struggles with complex built-up structures. A recently proposed alternative, the Modal Virtual Sensor Expansion (Modal VSE), leverages modal strain shapes to virtually expand the strain field and has shown promising results, though it has not yet been benchmarked against existing methods. This study provides the first direct comparison between Modal VSE and SEA for strain pre-extrapolation and subsequent iFEM-based shape sensing of a composite stiffened panel. Results demonstrate that Modal VSE achieves higher accuracy and better adaptability across the examined configurations. Its superior performance persists even when sensor signals are corrupted by noise representative of experimental conditions. These findings highlight Modal VSE as a robust and effective tool for enhancing shape sensing in complex structural domains, thereby supporting more practical implementations of iFEM-based SHM and digital twin frameworks
AI-guided optimal deployments of drone-intercepting systems in large critical areas
No full textThe problem of designing effective systems to prevent risks and hazards caused by drones in critical areas has gained significant attention in recent years. In this short paper, we introduce the idea of computing optimal deployments of anti-drone sensors in a given region using simulation-based optimisation via heuristic-guided intelligent search and a geometric modelling of the problem, and show preliminary results in a real-world scenario
- …
