Km4City

🚀 New Research Alert!
🔒 Blockchain Meets IoT/WoT – A Game-Changer for Data Certification

We’re thrilled to share our latest publication in Computer Networks — a deep dive into how blockchain technology can certify data models, devices, and time series messages across IoT and Web of Things (WoT) platforms. 💡

🌐 With the explosion of connected devices, ensuring data integrity, security, and trust has never been more critical. This paper presents: ✅ A flexible and scalable certification framework
✅ Integration with Hyperledger Fabric
✅ Real-world validation on Snap4City for domains like smart mobility, energy, environment, and healthcare
✅ Full support for GDPR and multi-organization use

📘 Why this matters: From smart cities to sustainable energy, our approach ensures trusted data flow, enabling better services and smarter decisions.

🔗 Read the full paper here: https://doi.org/10.1016/j.comnet.2025.111281
💬 Have thoughts or questions? Let’s discuss in the comments!

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Snap4City General Overview 2024 https://www.snap4city.org/drupal/node/1039Snap4City 8/2024 Artificial Intelligence Digital Twin services and tools offering cataloguearchive of articles: htt...

Research positions at University of Florence, DISIT Lab, Snap4City, may give the access to PHD course.

https://www.snap4city.org/1040

Start working from 1° dic:https://titulus.unifi.it/albo/viewer?view=files%2F005741378-UNFICLE-473f7b24-14b2-4362-b86f-325a1d624f27-000.pdf

Title: Study and development of solutions for the optimization of public transport

The research grant, the subject of this call, has as its objective the study and development of solutions for the optimization of public transport. The research activity will be carried out with the aim of integrating the algorithms developed for the analysis of public transport supply and demand using generative or agent-based AI (reinforced learning) techniques into the snap4city platform of the OPTIFaaS project. The study involves learning artificial intelligence techniques, data analytics, data modeling, IoT Device management, management of large amounts of data, event-driven programming and streams towards acquisition process clusters, data management clusters and use of big data management techniques. The work will be carried out at DISIT Lab in the context of the PNRR OPTIFaaS project funded by the Centro Nazione Mobilità MOST with partners LUTECH spa, University of Naples, DINFO-UNIFI, Polytechnic of Bari.

to know more please send email to [email protected] and/or to Paolo Nesi, [email protected]

Titolo: Studio e sviluppo di soluzioni per l’ottimizzazione del trasporto pubblico

L’assegno di ricerca, tema di questo bando, ha come obiettivo lo studio e lo sviluppo di soluzioni per l’ottimizzazione del trasposto pubblico. L’attività di ricerca si svolgerà con l’obiettivo di integrare nella piattaforma snap4city del progetto OPTIFaaS gli algoritmi sviluppati per l’analisi della domanda e offerta del trasporto pubblico usando tecniche di AI (reinforced learning) generative o ad agenti. Lo studio prevede l’apprendimento di tecniche di intelligenza artificiale, di data analytic, modellazione dati, di IoT Device management, gestione di grandi moli di dati, programmazione event driven e stream verso cluster di processi di acquisizione, cluster di gestione dati e uso di tecniche gestione big data. Il lavoro si svolgerà presso DISIT Lab nel contesto del progetto PNRR OPTIFaaS finanziato dal Centro Nazione Mobilità MOST con partner LUTECH spa, Università degli Studi di Napoli, DINFO-UNIFI, Politecnico di Bari.

Control and Plant
Snap4City as Horizontal Artificial Intelligence Platform Digital Twin
https://www.snap4city.org/drupal/node/1039

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Florence Tracks Tourism Using Thermal Cameras & IoT Platforms A handful of cities across the EU have turned to IoT to better manage tourism. It’s an initiative part of the EU-funded Herit Data project In this video, we head to one of the test sites: Florence, Italy. Axis has deployed thermal cameras to track the flow of people. The thermal cameras connect to...

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