A. Verani, R. Di Rienzo, N. Nicodemo, F. Baronti, R. Roncella, R. Saletti: “Modular Battery Emulator for Development and Functional Testing of Battery Management Systems: Hardware Design and Characterization”, Electronics, March 2023

Battery Management Systems are essential for safe and effective use of Lithium-Ion batteries. The increasing complexity of the control and estimation algorithms requires deeper functional testing and validation phases of BMSs. However, the use of real...

R. Di Rienzo, N. Nicodemo, A. Verani, F. Baronti, R. Roncella, R. Saletti: “A novel methodology to study and compare active energy-balance architectures with dynamic equalization for second-life battery applications”, Journal of Energy Storage

The continuous growth of the electric vehicles market and the increasing environmental awareness impose to search for innovative solutions to reuse the exhausted vehicle batteries in different applications. One of the main problems of second-life...

R. Di Rienzo, N. Nicodemo, R. Roncella, R. Saletti, N. Vennettilli, S. Asaro, R. Tola, F. Baronti: “Cloud-based optimization of a battery model parameter identification algorithm for battery state-of-health estimation in electric vehicles”, Batteries

Connectivity and cloud computing are key elements in the future of electric mobility. They allow manufacturers to provide advanced fleet management and predictive diagnostic services. In particular, cloud computing dramatically enhances data...

R. Ciardi, G. Giuffrida, M. Bertolucci, L. Fanucci: "A Software Defined Radio for CCSDS 131.2-B protocol: exploiting Graphic Processing Unit accelerator for high performance data reception.", in Proceedings of EDHPC 2023

This paper presents the implementation of a Software Defined Radio receiver in compliance with the CCSDS 131.2-B standard. Such standard has been defined for all the missions which require high data rate transmissions, especially for Earth Observation...

Gioia, F., Nardelli, M., Scilingo, E. P., & Greco, A. (2023). Investigating the physiology behind nose thermal response to stress: a cross-mapping approach. In 2023 IEEE MEDICON and CMBEBIH Conference 2023.

Gioia, F., Nardelli, M., Scilingo, E. P., & Greco, A. (2023). Autonomic Regulation of Facial Temperature during Stress: A Cross-Mapping Analysis. Sensors, 23(14), 6403.

F. Bargagna, L. A. De Santi et al.: "Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios", Journal of Digital Imaging, Online

Abstract: Deep neural networks (DNNs) have already impacted the field of medicine in data analysis, classification, and image processing. Unfortunately, their performance is drastically reduced when datasets are scarce in nature (e.g., rare diseases or...

G. Todaro, M. Monopoli, G. Benelli, L. Zulberti and T. Pacini, "Enhanced Soft GPU Architecture for FPGAs," 2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME), Valencia, Spain, 2023, pp. 177-180

Nowadays, General Purpose computing on Graphic Processing Unit (GPGPU) is deeply exploited in many application fields due to its high versatility and energy efficiency. Over the past decade, different solutions have been proposed to implement an...

M. Monopoli, L. Zulberti, P. Nannipieri, L. Fanucci and S. Moranti, "Exploring Key Aspects of Soft GPGPU Computing for On-board Acceleration of Artificial Intelligence Algorithms in Space Applications," EDHPC 2023 Conference, Juan-Les-Pins, France

Artificial Intelligence has gained widespread adoption across different industrial sectors, serving as a versatile tool to carry out a diverse array of tasks, ranging from image classification and traffic forecasting to natural language processing and...

M. Monopoli, L. Zulberti, G. Todaro, P. Nannipieri and L. Fanucci, "Exploiting FPGA Dynamic Partial Reconfiguration for a Soft GPU-based System-on-Chip," 2023 18th PRIME Conference, Valencia, Spain, 2023, pp. 181-184

For many years, General Purpose Computing on Graphic Processing Units has been widely exploited in different fields of application. The hardware architectures enabling this kind of computation are increasingly complex, and their use for on-the-edge...

T. Pacini, E. Rapuano, L. Fanucci: “FPG-AI: A Technology-Independent Framework for the Automa-tion of CNN Deployment on FPGAs”, IEEE Access, March 2023

In recent years, Convolutional Neural Networks (CNNs) have demonstrated outstanding results in several emerging classification tasks. The high-quality predictions are often achieved with computationally intensive workloads that hinder the hardware...

LA De Santi, A Meloni, MF Santarelli, L Pistoia, A Spasiano, T Casini, MC Putti, L Cuccia, F Cademartiri, V Positano: "Left Ventricle Detection from Cardiac Magnetic Resonance Relaxometry Images Using Visual Transformer". Sensors (Basel). Mar. 2023

Left Ventricle (LV) detection from Cardiac Magnetic Resonance (CMR) imaging is a fundamental step, preliminary to myocardium segmentation and characterization. This paper focuses on the application of a Visual Transformer (ViT), a novel neural network...

W.-X. Long, R. Chen, M. Moretti, W. Zhang, J. Li, "Joint OAM Radar-Communication Systems: Target Recognition and Beam Optimization"

Abstrac: Orbital angular momentum (OAM) radars are able to estimate the azimuth angle and the rotation velocity of multiple targets without relative motion or beam scanning. Moreover, OAM wireless communications can achieve high spectral efficiency...

G. Marchello, E. Fontana, R. Giovanelli, F. Cannella, A. Traviglia: "Cultural Heritage Digital Preservation through AI-driven Robotics", The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2023

Abstract This paper introduces a novel methodology developed for creating 3D models of archaeological artifacts that reduces the time and effort required by operators. The approach uses a simple vision system mounted on a robotic arm that follows a...

N. Corsinovi, R. Ciardi, E. Pagani, M. Bertolucci and L. Fanucci, "Adaptive Equalization as Method for Satellite Communication Channel Characterization" IEEE 10th International Workshop on Metrology for AeroSpace, Milan, Italy, Jul. 2023, pp. 580-584

Abstract: During the last few years, the resolution increase of satellite on-board sensors has required to process collected massive data volume faster. To do so, the development of very-high throughput communication systems, particularly by adopting...

E. Pagani, N. Corsinovi, M. Bertolucci and L. Fanucci, "Design and FPGA implementation of a high-speed transposed Farrow structure for arbitrary resampling in digital receivers,"18th PRIME Conference, Valencia, Spain, 2023, pp. 373-376

Abstract: Sample rate conversion is a fundamental operation performed in the digital front-end of software-defined radio and all-digital receivers. Within this context, polynomial-based filters, such as the Farrow structure and its variants, are a...

Simonte, G., Di Rienzo, R., Verani, A., Baronti, F., Roncella, R., & Saletti, R. (2022, December). Rest Time Effect on the Series Resistance of Sodium-Metal Halide Battery. In 2022 IEEE International Conference on Power Electronics, Drives and Energy

Sodium-Metal Halide Batteries are an interesting alternative to the Lithium-ion ones in stationary applications. However, their complex chemistry requires an accurate battery model to fully exploit the battery capabilities. The electric-equivalent...

Simonte, G., Di Rienzo, R., Baronti, F., Roncella, R., & Saletti, R. (2022, Septem- ber). Improvement of Sodium-Metal Halide Battery Electrical Equivalent Model Including Temperature Dependency. In International Conference on Applica- tions in Electr

Sodium-Metal Halide Batteries are a very promising alternative to the Lithium-ion ones for stationary applications, but their chemical complexity requires an accurate battery model to optimize their use. The electrical equivalent model of the battery...

Simonte, G., Di Rienzo, R., Biagioni, I., Baronti, F., Roncella, R., & Saletti, R. (2021, September). Novel setup to extend the temperature characterization range of a sodium-metal halide battery. In International Conference on Applications in Electr

Sodium-Metal Halide Batteries might be a good candidate to compete with Lithium-ion batteries for stationary applications. However, their characteristics cannot be fully exploited by the Battery Management System if an accurate battery model to be used...

Simonte, G., Di Rienzo, R., Verani, A., Nicodemo, N., Baronti, F., Roncella, R., & Saletti, R. (2023). Reliability Estimation of Commercial Na-NiCl2 batteries using Theoretical and Simulative approaches. IEEE Access.

Sodium-Metal Halide Batteries are a promising and cheap alternative to lithium-ion ones for stationary applications such as smart grids. However, the reliability of their elementary cell is low, and a battery composed of hundreds of cells could likely...