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View article: Optimized FreeMark Post-Training White-Box Watermarking of Tiny Neural Networks
Optimized FreeMark Post-Training White-Box Watermarking of Tiny Neural Networks Open
Neural networks are powerful, high-accuracy systems whose trained parameters represent a valuable intellectual property. Building models that reach top level performance is a complex task and requires substantial investments of time and mo…
View article: Compensating PI Controller’s Transients with Tiny Neural Network for Vector Control of Permanent Magnet Synchronous Motors
Compensating PI Controller’s Transients with Tiny Neural Network for Vector Control of Permanent Magnet Synchronous Motors Open
Recent advancements in neural networks (NNs) have underscored their potential for deployment in domains that demand computationally intensive operations, including applications on resource-constrained edge devices. This study investigates …
View article: Enhancing Field-Oriented Control of Electric Drives with Tiny Neural Network Optimized for Micro-controllers
Enhancing Field-Oriented Control of Electric Drives with Tiny Neural Network Optimized for Micro-controllers Open
The deployment of neural networks on resource-constrained micro-controllers has gained momentum, driving many advancements in Tiny Neural Networks. This paper introduces a tiny feed-forward neural network, TinyFC, integrated into the Field…
View article: Wireless Sensor Networks Based on TSCH/TDMA with Power Consumption and Latency Constraints
Wireless Sensor Networks Based on TSCH/TDMA with Power Consumption and Latency Constraints Open
One of the main goals of wireless sensor networks is to permit the involved nodes to communicate with low energy budgets, as they are typically battery-powered. When such networks are employed in industrial scenarios, constraints about lat…
View article: Real-time cyber/physical interplay in scheduling for peak load optimisation in Cyber–Physical Energy Systems
Real-time cyber/physical interplay in scheduling for peak load optimisation in Cyber–Physical Energy Systems Open
This paper is about reducing the power consumption of Cyber–Physical Energy Systems (CPESs) composed of many loads through the usage of a scheduling technique inspired by the real-time-computing domain; the electric-load coordination guara…
View article: Application of the Overall Equipment Effectiveness to a Service Company
Application of the Overall Equipment Effectiveness to a Service Company Open
Competitiveness has reached outstanding levels in every marketplace sector. The Overall Equipment Effectiveness () framework has gained increasing interest in different contexts as a leading measure for improving production. The applicatio…
View article: Detecting and classifying moments in basketball matches using sensor tracked data
Detecting and classifying moments in basketball matches using sensor tracked data Open
Data analytics in sports is crucial to evaluate the performance of single players and the whole team. The literature proposes a number of tools for both offence and defence scenarios. Data coming from tracking location of players, in this …
View article: Design of a Mobile Robot for Air Ducts Exploration
Design of a Mobile Robot for Air Ducts Exploration Open
This work presents the solutions adopted for the design and the implementation of an autonomous wheeled robot developed for the exploration and mapping of air ventilation ducts. The hardware is based on commercial off-the-shelf devices, in…
View article: A Framework for Automatic Generation of Fuzzy Evaluation Systems for Embedded Applications
A Framework for Automatic Generation of Fuzzy Evaluation Systems for Embedded Applications Open
Fuzzy logic is a powerful modelling approach to build control applications and to generate knowledge-based evaluation indices.In both cases, however, the applicability to complex systems is limited by the effort required to formulate the r…
View article: Requirements for building an ontology for autonomous robots
Requirements for building an ontology for autonomous robots Open
Purpose IEEE Ontologies for Robotics and Automation Working Group were divided into subgroups that were in charge of studying industrial robotics, service robotics and autonomous robotics. This paper aims to present the work in-progress de…