Emanuele Lattanzi

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.

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.

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.

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.

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.