N. Biasi, A. Tognetti. A computationally efficient dynamic model of human epicardial tissue. Plos one, 2021, 16.10: e0259066.

We present a new phenomenological model of human ventricular epicardial cells and we test its reentry dynamics. The model is derived from the Rogers-McCulloch formulation of the FitzHugh-Nagumo equations and represents the total ionic current divided...

N. Biasi, A. Tognetti. Computational Efficient Model for Human Ventricular Epicardial Cells. In: 2021 Computing in Cardiology (CinC). IEEE, 2021. p. 1-4.

We developed a new phenomenological model for ventricular epicardial cells. The proposed model is based on the Rogers-McCulloch formulation of the FitzHugh-Nagumo equations and consists of only three state variables. Furthermore, our model includes a...

M.Basile, G. Nardini, P. Perazzo and G. Dini, "A Rational Mining Strategy for Proof-of-Work Consensus Algorithms", 2022 IEEE Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS), 2022

To maintain a secured, universal state of a blockchain, Proof-of-Work consensus algorithms economically incentivize miners to compete for block creation through hashing- based challenge solving. Nowadays, the default mining strategy consists in...

M.Basile, G. Nardini, P. Perazzo and G. Dini, "SegWit Extension and Improvement of the BlockSim Bitcoin Simulator," 2022 IEEE International Conference on Blockchain (Blockchain), 2022

Fourteen years after its inception, the Bitcoin market capitalization exceeds $700 trillion. As Bitcoin blockchain continues gaining tremendous interest, it is vital evaluating Bitcoin protocol performance. In this context, the BlockSim simulation...

Gioia, Federica, et al. "Potential physiological stress biomarkers in human sweat." 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2022.

Gioia, F., Greco, A., Callara, A. L., & Scilingo, E. P. (2022). Towards a Contactless Stress Classification Using Thermal Imaging. Sensors, 22(3), 976.

F. Rossi, L. Fiaschi, M. Cococcioni, S. Saponara. Design and FPGA Synthesis of BAN Processing Unit for non-Archimedean Number Crunching

Abstract: This work presents the design and synthesis of a processing unit for numbers encoded according to the recently introduced BAN format. Such an encoding allows one to represent numbers which are not only finite (as the reals) but also...

M. Pettorali, F. Righetti, C. Vallati, S. K Das, G. Anastasi, "Mobility Management in Industrial IoT Environments", 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

Abstract: The Internet Engineering Task Force (IETF) has defined the 6TiSCH architecture to enable the Industrial Inter-net of Things (IIoT). Unfortunately, 6TiSCH does not provide mechanisms to manage node mobility, while many industrial applications...

R. Ciardi, G. Giuffrida, G. Benelli, R. Maderna, C. Cardenio. "GPU@SAT: a general-purpose programmable accelerator for on board data processing and satellite autonomy" in 2nd International Conference on Applied Intelligence and Informatics (AII 2022)

In the last decade, Artificial Intelligence (AI) algorithms are becoming very influential in several sectors thanks to their flexibility and adaptability. Among the several fields of the AI, the most attractive and with the greatest results is Machine...

Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery

F. Merola, F. Falchi, C. Gennaro, M. Di Benedetto, "Reinforced Damage Minimization in Critical Events for Self-driving Vehicles", In Proceedings of VISAPP 2022 International Conference

Self-driving systems have recently received massive attention in both academic and industrial contexts, leading to major improvements in standard navigation scenarios typically identified as well-maintained urban routes. Critical events like road...

S. Vagaggini, R. Ciardi, M. Trafeli, L. Fanucci, "Development of highly reliable UVM-based Verification Environment for SpaceWire Codec", in Proceedings of 2022 IEEE International Workshop on Metrology for Aerospace

SpaceWire (SpW) is a communication standard widely used in space applications. It requires, in addition to sending and receiving payload data, the continuous transmission between two hosts of information to establish and maintain active the...

R. Ciardi, S. Vagaggini, A. Marino, L. Fanucci., "Design of a Test Equipment Prototype for SpaceWire Data Generation and Processing in a Specific TimeConstrained Test Scenario", in Proceedings of 2022 IEEE International Workshop on Metrology for Aero

On-Board Data Handling is a key feature of modern Spacecrafts, which usually include various on-board devices requiring effective testing during verification and integration phases. The test equipment used on ground to test spacecraft functionalities...

R. Ciardi, A. Marino, G. Benelli, L. Fanucci: "Design and Development of an Embedded Architecture for SpaceWire Network Sniffer" in Proceedings of embedded world Conference 2022, ISBN 978-3-645-50194-1, pp 175-181 , June 2022

SpaceWire standard is the State-Of-The-Art for spacecraft On-Board-Data-Handling (OBDH) communication, defined by the European Space Agency (ESA) and adopted in numerous missions worldwide (e.g., Rosetta, BepiColombo, Mars Express, JWST). The...

Pachetti, E., Colantonio, S., Pascali, M.A. (2022). On the Effectiveness of 3D Vision Transformers for the Prediction of Prostate Cancer Aggressiveness. In: Mazzeo, P.L., Frontoni, E., Sclaroff, S., Distante, C. (eds) Image Analysis and Processing.

Prostate cancer is the most frequent male neoplasm in European men. To date, the gold standard for determining the aggressiveness of this tumor is the biopsy, an invasive and uncomfortable procedure. Before the biopsy, physicians recommend an...

E. Pasini, D. Genovesi, C. Rossi, L. A. De Santi, V. Positano, A. Giorgetti, M. F. Santarelli: "Convolution Neural Networks for the Automatic Segmentation of 18F-FDG PET Brain as an Aid to Alzheimer’s Disease Diagnosis", Electronics 11, no. 14: 2260

Our work aims to exploit deep learning (DL) models to automatically segment diagnostic regions involved in Alzheimer’s disease (AD) in 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) volumetric scans in order to provide a more...

L. Zulberti, M. Monopoli, P. Nannipieri and L. Fanucci, "Architectural Implications for Inference of Graph Neural Networks on CGRA-based Accelerators," 2022 17th Conference on Ph.D Research in Microelectronics and Electronics (PRIME), 2022, pp. 373-3

Reconfigurable computing has become very popular in recent years. Among all available architectures, Coarse-Grained Reconfigurable Arrays are the most prominent ones. They permit to efficiently accelerate several classes of data-intensive algorithms...

Simone Bolettieri, Dinh Thai Bui, Raffaele Bruno, "Towards end-to-end application slicing in Multi-access Edge Computing systems: Architecture discussion and proof-of-concept", Future Generation Computer Systems, Volume 136, 2022

Network slicing is one of the most critical 5G pillars. It allows for sharing a 5G infrastructure among different tenants leading to improved service customisation and increased operators’ revenues. Concurrently, introducing the Multi-access Edge...

A. Fais, G. Antichi, S. Giordano, G. Lettieri, G. Procissi: "Mind the Cost of Telemetry Data Analysis", 2022 ACM SIGCOMM Conference (Demos and Posters). DOI: 10.1145/3546037.3546052.

Bioresorbable Nanostructured Chemical Sensor for Monitoring of pH Level In Vivo

Here, we report on the manufacturing and in vivo assessment of a bioresorbable nanostructured pH sensor. The sensor consists of a micrometer-thick porous silica membrane conformably coated layer-by-layer with a nanometer-thick multilayer stack of two...