Roberto Passerone
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View article: Architecture, Simulation and Software Stack to Support Post-CMOS Accelerators: The ARCHYTAS Project
Architecture, Simulation and Software Stack to Support Post-CMOS Accelerators: The ARCHYTAS Project Open
ARCHYTAS aims to design and evaluate nonconventional hardware accelerators, in particular, optoelectronic, volatile and non-volatile processing-in-memory, and neuromorphic, to tackle the power, efficiency, and scalability bottlenecks of AI…
Simple Path Structural Encoding for Graph Transformers Open
Graph transformers extend global self-attention to graph-structured data, achieving notable success in graph learning. Recently, random walk structural encoding (RWSE) has been found to further enhance their predictive power by encoding bo…
cuVegas: Accelerate Multidimensional Monte Carlo Integration through a Parallelized CUDA-based Implementation of the VEGAS Enhanced Algorithm Open
This paper introduces cuVegas, a CUDA-based implementation of the Vegas Enhanced Algorithm (VEGAS+), optimized for multi-dimensional integration in GPU environments. The VEGAS+ algorithm is an advanced form of Monte Carlo integration, reco…
Combining Optimization and Simulation for Next-Generation Off-Road Vehicle E/E Architectural Design Open
The automotive industry, with particular reference to the off-road sector, is facing several challenges, including the integration of Advanced Driver Assistance Systems (ADASs), the introduction of autonomous driving capabilities, and syst…
Architectural Exploration and Design for Ultra-Reliable Low-Latency Indoor Robotics Systems Open
Modern day communication systems are evolving to support computation-intensive and communication-sensitive applications that impose diverse quality of service requirements on the network in terms of latency, reliability, and bandwidth. App…
Visual Prompt Engineering for Enhancing Facial Recognition Systems Robustness Against Evasion Attacks Open
Deep learning has unequivocally emerged as the backbone of simple to highly sensitive systems demanding artificial intelligence across diverse domains. For instance, foundation models based on deep neural networks (DNNs) can play a crucial…
A Post-Processing Histogram Compensation Method for SPAD-Based d-ToF LiDAR Systems for High Photon Flux Measurements Open
In this study, we introduce a histogram post-processing technique for Single Photon Avalanche Diode (SPAD)-based direct Time of Flight (d-ToF) depth measurement systems, designed to address the nonlinearity inherent in SPAD behavior. The t…
Histogram-Less LiDAR Through SPAD Response Linearization Open
We present a new method to acquire the 3D information from a SPAD-based direct-Time-of-Flight (d-ToF) imaging system which does not require the construction of a histogram of timestamps and can withstand high flux operation regime. The pro…
Histogram-less LiDAR through SPAD response linearization Open
We present a new method to acquire the 3D information from a SPAD-based direct-Time-of-Flight (d-ToF) imaging system which does not require the construction of a histogram of timestamps and can withstand high flux operation regime. The pro…
An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles Open
Connected and autonomous vehicles (CAVs) can fulfill the emerging demand for smart transportation on a global scale. Such innovations for transportation can bring manyfold benefits from fully autonomous driving services to proactive vehicl…
An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles Open
Connected and autonomous vehicles (CAVs) can fulfill the emerging demand for smart transportation on a global scale. Such innovations for transportation can bring manyfold benefits from fully autonomous driving services to proactive vehicl…
An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles Open
Connected and autonomous vehicles (CAVs) can fulfill the emerging demand for smart transportation on a global scale. Such innovations for transportation can bring manyfold benefits from fully autonomous driving services to proactive vehicl…
Quantization-Aware NN Layers with High-throughput FPGA Implementation for Edge AI Open
Over the past few years, several applications have been extensively exploiting the advantages of deep learning, in particular when using convolutional neural networks (CNNs). The intrinsic flexibility of such models makes them widely adopt…
An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles Open
Edge Computing-based Connected Autonomous Vehicles (EC-CAVs) can fulfill the emerging demand for smart transportation on a global scale. Such innovations to transportation ecosystems can bring manyfold benefits from fully autonomous drivin…
An Investigation of Cyber-Attacks and Security Mechanisms for Connected and Autonomous Vehicles Open
Connected and autonomous vehicles (CAVs) can fulfill the emerging demand for smart transportation on a global scale. Such innovations for transportation can bring manyfold benefits, from fully autonomous driving services to proactive vehic…
An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles Open
Connected and autonomous vehicles (CAVs) can fulfill the emerging demand for smart transportation on a global scale. Such innovations for transportation can bring manyfold benefits from fully autonomous driving services to proactive vehicl…
Intermittent Computing Emulation of Ultralow-Power Processors: Evaluation of Backup Strategies for RISC-V Open
With the progress in energy harvesting circuits and the decrease in power requirements of processing, sensing, and communication hardware, we have the potential of freeing the Internet of Things devices from their batteries. However, remov…
Packet Length Spectral Analysis for IoT Flow Classification Using Ensemble Learning Open
With the proliferation of ubiquitous and autonomous devices for sensing, control, monitoring and conditioning, the Internet of Things (IoT) holds a great potential for the development of innovative applications. At the same time, network o…
Correction: Sharpening the Scythe of Technological Change: Socio-Technical Challenges of Autonomous and Adaptive Cyber-Physical Systems Open
We, the authors, wish to make the following corrections to our paper [...]
View article: Effective Landmark Placement for Robot Indoor Localization With Position Uncertainty Constraints
Effective Landmark Placement for Robot Indoor Localization With Position Uncertainty Constraints Open
A well-known, crucial problem for indoor positioning of mobile agents (e.g., robots) equipped with exteroceptive sensors is related to the need to deploy reference landmarks in a given environment. Normally, anytime a landmark is detected,…
A Methodology for the Design of Safety-Compliant and Secure Communication of Autonomous Vehicles Open
International audience; The automotive industry is increasing its effort towards scientific and technological innovations regarding autonomous vehicles. The expectation is a reduction of road accidents, which are too often caused by human …
Sharpening the Scythe of Technological Change: Socio-Technical Challenges of Autonomous and Adaptive Cyber-Physical Systems Open
Autonomous and Adaptative Cyber-Physical Systems (ACPS) represent a new knowledge frontier of converging “nano-bio-info-cogno” technologies and applications. ACPS have the ability to integrate new ‘mutagenic’ technologies, i.e., technologi…
A battery-free non-intrusive power meter for low-cost energy monitoring Open
As highlighted by the Intergovernmental Panel for Climate Change (IPCC), providing clean, reliable and affordable energy for people everywhere will require the reduction of gas emission in the energy domain by 90%, compared to 2010 emissio…
Design and Characterization of a Low-Cost FPGA-Based TDC Open
We present a field-programmable gate array (FPGA) implementation of a time-to-digital converter (TDC) based on a low-cost, low-area Spartan 6 device. The converter is based on a tapped delay line model. Several implementation details are d…
Contracts for System Design Open
International audience
Dependability Assessment of SOA-Based CPS With Contracts and Model-Based Fault Injection Open
Engineering complex distributed systems is challenging. Recent solutions for the development of cyber-physical systems (CPS) in industry tend to rely on architectural designs based on service orientation, where the constituent components a…
Contract-Based Requirement Modularization via Synthesis of Correct Decompositions Open
In distributed development of modern systems, contracts play a vital role in ensuring interoperability of components and adherence to specifications. It is therefore often desirable to verify the satisfaction of an overall property represe…
Follow, listen, feel and go: alternative guidance systems for a walking assistance device Open
In this paper, we propose several solutions to guide an older adult along a safe path using a robotic walking assistant (the c-Walker). We consider four different possibilities to execute the task. One of them is mechanical, with the c-Wal…
Self-Powered WSN for Distributed Data Center Monitoring Open
Monitoring environmental parameters in data centers is gathering nowadays increasing attention from industry, due to the need of high energy efficiency of cloud services. We present the design and the characterization of an energy neutral …