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...

P. Nannipieri et al., "VLSI Design of Advanced-Features AES Cryptoprocessor in the Framework of the European Processor Initiative," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 30, no. 2, pp. 177-186, Feb. 2022, doi: 10.1

This article presents a cryptographic hardware (HW) accelerator supporting multiple advanced encryption standard (AES)-based block cipher modes, including the more advanced cipher-based MAC (CMAC), counter with CBC-MAC (CCM), Galois counter mode (GCM),...

P. Nannipieri, S. Di Matteo, L. Zulberti, F. Albicocchi, S. Saponara and L. Fanucci, "A RISC-V Post Quantum Cryptography Instruction Set Extension for Number Theoretic Transform to Speed-Up CRYSTALS Algorithms," in IEEE Access, vol. 9, pp. 150798-150

In recent years, public-key cryptography has become a fundamental component of digital infrastructures. Such a scenario has to face a new and increasing threat, represented by quantum computers. It is well known that quantum computers in the next years...

De Luca, A., Muratore, L., Raghavan, V.S., Antonucci, D. and Tsagarakis, N.G., 2021. Autonomous Obstacle Crossing Strategies for the Hybrid Wheeled-Legged Robot Centauro. Frontiers in Robotics and AI, 8.

ABSTRACT The development of autonomous legged/wheeled robots with the ability to navigate and execute tasks in unstructured environments is a well-known research challenge. In this work we introduce a methodology that permits a hybrid legged/wheeled...

V. S. Raghavan, D. Kanoulas, D. G. Caldwell and N. G. Tsagarakis, "Reconfigurable and Agile Legged-Wheeled Robot Navigation in Cluttered Environments With Movable Obstacles," in IEEE Access, vol. 10, pp. 2429-2445, 2022, doi: 10.1109/ACCESS.2021.3139

Abstract: Legged and wheeled locomotion are two standard methods used by robots to perform navigation. Combining them to create a hybrid legged-wheeled locomotion results in increased speed, agility, and reconfigurability for the robot, allowing it to...

M. Cococcioni, F. Rossi, E. Ruffaldi, S. Saponara, "Small reals representations for Deep Learning at the edge: a comparison", Conference on Next Generation Arithmetic (CoNGA'22)

Abstract: The pervasiveness of deep neural networks (DNNs) in edge devices enforced new requirements on information representation. Low precision format from 16 bits down to 1 or 2 bits have been proposed in the last years. In this paper we aim to...

M. Cococcioni, F. Rossi, E. Ruffaldi, S. Saponara, "Experimental Results of Vectorized Posit-Based DNNs on a Real ARM SVE High Performance Computing Machine", ApplePies 2021

Abstract: With the pervasiveness of deep neural networks in scenarios that bring real-time requirements, there is the increasing need for optimized arithmetic on high performance architectures. In this paper we adopt two key visions: i) extensive use...

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