04 Atto di Convegno (Proceedings)

04 Atto di Convegno (Proceedings) : [19152] Home page macrotipologia

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Dune bed statistical analysis using multibeam echosound survey data

In alluvial river the bed forms represent the most relevant features governing flow resistance and bedload transport, they can have a wide range of geometry patterns corresponding to the same hydrometric condition. Bed forms influences the kinematic field, the flow resistance, the conveyance, and the stability of the fluvial infrastructures. Morphological changes and the bedload component can be evaluated considering the changing flow conditions, the geometry of the bedforms and their downstr...

Efficient Data Dissemination via Semantic Filtering at the Tactical Edge

In modern tactical operations, efficient and effective communication combined with robust data processing can significantly enhance the decision-making processes. However, these environments often face challenges such as limited bandwidth, high latency, and network interruptions, which can hinder rapid decision-making. Contemporary solutions include data compression, efficient protocols, and modern data formats. Yet, more powerful solutions, that go beyond merely reducing data and packet size...

La posizione degli stati terzi rispetto al conflitto fra Russia e Ucraina. Neutralità, non belligeranza o partecipazione al conflitto?

L'articolo esplora le sfumature giuridiche della posizione degli Stati terzi nei confronti del conflitto tra Russia e Ucraina, concentrandosi su neutralità, non belligeranza e partecipazione al conflitto. Sottolinea il complesso quadro giuridico che circonda il sostegno fornito all'Ucraina da vari Stati occidentali, mettendo in discussione la rilevanza e l'applicazione delle tradizionali leggi sulla neutralità nei conflitti contemporanei. L'analisi approfondisce le giustificazioni legali per ...

Kubernetes Enhanced Stateful Service Migration for ML-Driven Applications in Industry 4.0 Scenarios

State-of-the-art ML-driven applications have shown remarkable effectiveness in enhancing manufacturing processes by detecting operational anomalies in real-time. Nevertheless, these applications place significant demands on computational resources and require constant access to data sources for managing real-time data processing. This often poses challenges in case of service migration between the Cloud and the edge, due to the stateful nature of ML-based software components and their high st...

A Machine Learning Operations Platform for Streamlined Model Serving in Industry 5.0

Machine Learning (ML) plays an increasingly important role in many Big Data applications in Industry 5.0: predictive maintenance, zero defect manufacturing, process and/or supply chain optimization, etc. However, the dynamic and high-stakes nature of the manufacturing environment requires ML models to be maintained through continuous monitoring, periodical reevaluation, and possible retraining to ensure they remain accurate and relevant to the actual context. In addition, to match the desired...

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