Elenco Pubblicazioni - Publications (349)

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R. Morello, R. Di Rienzo, R. Roncella, R. Saletti and F. Baronti, "Tuning of Moving Window Least Squares-based algorithm for online battery parameter estimation," SMACD 2017, Giardini Naxos, Italy, 2017, pp. 1-4.

Online battery parameter identification algorithms, such as the Moving Window Least Squares, allow model-based state estimators with low computational intensity to be very accurate. This paper presents a procedure for tuning the algorithm parameters by…
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R. Di Rienzo, F. Baronti, R. Roncella, R. Morello and R. Saletti, "Simulation platform for analyzing battery parallelization," SMACD 2017, Giardini Naxos, Italy, 2017, pp. 1-4.

This paper discusses a simulation platform for predicting the behavior of a battery system comprising two batteries, which can be parallelized in a controllable way. The model of the battery, the load and the parallelization…
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X.Tian, B. Jeppesen, T. Ikushima, F. Baronti and R. Morello, "Accelerating state-of-charge estimation in FPGA-based Battery Management Systems," 6th Hybrid and Electric Vehicles Conference (HEVC 2016), London, 2016, pp. 1-6.

This paper presents the implementation of a state of charge (SOC) estimator for Lithium-ion battery in a Field Programmable Gate Array (FPGA) based System-in-the-Loop platform. The paper explains and provides results from alternative methods for…

Magliaro C. et al., "DataBrain: a web-accessible database for three-dimensional reconstructions and quantitative morphometrics of neurons", EMBEC & NBC 2017. EMBEC 2017, NBC 2017. IFMBE Proceedings, vol 65. Springer, Singapore

Thanks to the new advanced tools and the innovative methods to image deep in the brain at cell resolution, neuroanatomy is quickly redefining its protocols for quantitatively studying neurons in their own three-dimensional arrangement. The…

Magliaro C., Callara A. L., Vanello N., Ahluwalia A: "A Manual Segmentation Tool for Three-Dimensional Neuron Datasets", Frontiers in Neuroinformatics, vol. 11, pp. 36, May 2017

To date, automated or semi-automated software and algorithms for segmentation of neurons from three-dimensional imaging datasets have had limited success. The gold standard for neural segmentation is considered to be the manual isolation performed by…