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Emanuele Lattanzi
Researcher at University of Urbino
Publications - 75
Citations - 998
Emanuele Lattanzi is an academic researcher from University of Urbino. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 16, co-authored 65 publications receiving 830 citations.
Papers
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Journal ArticleDOI
Energetic sustainability of routing algorithms for energy-harvesting wireless sensor networks
TL;DR: This work defines the maximum energetically sustainable workload (MESW) as the objective function to be used to drive the optimization of routing algorithms for EH-WSNs, and proposes a methodology that makes use of graph algorithms and network simulations for evaluating the MESW.
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Avian soundscapes and cognitive landscapes: theory, application and ecological perspectives
TL;DR: A new Acoustic Complexity Index (ACI), coupled with the implementation of a specific sound editor (WaveSurfer©), is proposed as a way of processing sound data efficiently, thus providing new opportunities to use the bird soundscape signature for landscape characterization and describing the ecological dynamics of long-term monitoring schemes.
Proceedings Article
SmartRoadSense: Collaborative Road Surface Condition Monitoring
Giacomo Alessandroni,Lorenz Cuno Klopfenstein,Saverio Delpriori,Matteo Dromedari,Gioele Luchetti,Brendan Paolini,Andrea Seraghiti,Emanuele Lattanzi,Valerio Freschi,Alberto Carini,Alessandro Bogliolo +10 more
TL;DR: The proposed approach introduces a thoroughly integrated system suitable for monitoring applications in a scalable, crowdsourcing collaborative setting that combines the integration of a custom mobile application, age-based database system and a visualization front-end.
Journal ArticleDOI
Spatial and temporal variation of bird dawn chorus and successive acoustic morning activity in a Mediterranean landscape
Almo Farina,Maria Ceraulo,Christopher W. Bobryk,Nadia Pieretti,Enza Maria Quinci,Emanuele Lattanzi +5 more
TL;DR: In this article, the authors used multiple acoustic sensors and two metrics of the acoustic community (ACI and the chorus ratio) to describe and characterize the morning acoustic activity of birds according to three equal temporal intervals during spring 2013: Dawn Chorus, Post Chorus 1, and post Chorus 2.
Journal ArticleDOI
A Study on the Influence of Speed on Road Roughness Sensing: The SmartRoadSense Case
TL;DR: This paper studies how the smartphone vertical accelerations and the roughness index are related to the vehicle speed and shows that the dependence can be locally approximated with a gamma (power) law.