Industry 5.0 envisions manufacturing systems that are human-centric, sustainable, and resilient. In this context, the Internet of Everything (IoE) enables integration of devices, people, and processes into a unified digital ecosystem. This paper presents a modular, semantically enriched framework that supports this transition by managing heterogeneous data sources—such as IoT sensors, wearable devices, and smart objects—through a layered architecture. The platform enables real-time data stream processing, semantic interoperability, and secure, context-aware access. Anomaly detection is enabled through a privacy-preserving mechanism based on behavioral fingerprinting and federated learning. The platform supports immersive human-machine interaction via gesture recognition, empowering workers to control and interact with industrial systems. Use cases demonstrate the system’s ability to support gesture-based control and intelligent monitoring, highlighting its potential to enhance adaptability, security, and worker empowerment in Industry 5.0 environments.

Navigation assistance services for people with visual impairment pose the challenge of providing accurate guidance through non-visual navigation instructions. This paper proposes two techniques to guide the user during navigation assistance, and in particular during turns and straight paths. Both techniques adopt a combination of speech and non-speech audio with the aim of providing continuous, accurate, and unobtrusive guidance. The two solutions differ in the sonification technique used to generate the non-speech audio. The techniques were evaluated in a real-world environment with nine participants having severe visual impairment. Experimental results show that one of the proposed techniques is significantly more effective than a baseline approach adopted in existing solutions, in terms of navigation accuracy during turns and straight paths. Thus, it is a practical and effective solution to the problem of non-visual navigation assistance for people with visual impairment.

People with blindness or severe low vision access mobile devices using screen readers. However, noisy environments can impair screen reader intelligibility. During mobility, this could disorient or even endanger the user. To address this issue, we propose three screen reader speech compensation techniques based on environmental noise: speech rate slowing, adaptive volume increase, and adaptive equalization. Through a study with 12 participants in three simulated noise scenarios, we evaluate screen reader intelligibility and the perceived distraction from the soundscape, with and without compensations. Four of the proposed compensations, in particular those that pair speech rate reduction with volume or equalization adaptation, significantly improve screen reader's speech intelligibility in all the considered scenarios, and the compensations do not have a significant impact on the distraction from the soundscape.

This work focuses on the use of adaptive sound feedback on mobile devices in mobility contexts characterized by external noise. The noise masks the device feedback, degrading the information it contains and preventing it from being fully perceived and understood. This leads to errors in the interaction with the device or requires the feedback to be repeated. Therefore compensation techniques are necessary in order to make the provided feedback audible and thus make the interaction with the device easier. As an initial research task, we experimented with compensation techniques on verbal information. Preliminary results indicate that increase in volume or adaptive equalization can improve the percentage of information understood without altering the intrusiveness of the compensated verbal instructions. Currently we are exploring similar compensation techniques for audio feedback based on sonification in order to make the information provided by modulating sound properties more understandable in a noisy context and thus enable reliable interaction with the user. For example, it would be desirable to apply effective compensations to instructions provided through sonification by turn-by-turn navigation assistants for people with visual impairments in order to make the navigation feasible in mobility contexts characterized by background noise.

Within a context of software-defined optical transport networks (SD-OTN), this work addresses specifically the management of Raman amplification, aiming to introduce and experimentally validate a system able to autonomously control this feature in-situ. In particular, given the required amplification constraints, an ad-hoc software module has been developed in order to optimize Raman pump power levels. Then, relying on this software, the architecture of an embedded controller to install on board the Raman card has been defined to handle Raman pumps. The use of a conceived probing procedure allows to self-adapt each Raman amplifier to the installed fiber, allowing it to autonomously operate at the working point required by the control plane. Relying on the system telemetry, the proposed architecture controls the Raman pumps in order to achieve the required amplification constraints in terms of average gain and tilt. The entire proposal is validated through a set of experimental measurements that proofs both the achievement of the required gain target and the importance of the probing phase procedure in making the Raman amplifier autonomous and self-adaptable.

GNPy is an open source project of the Telecom Infra Project (TIP). It aims at the development of a software library for the abstraction of physical layer data transport, implemented as wavelength division multiplexing (WDM) through open-source code and open APIs, with the purpose of automatizing disaggregated, multi-vendor open optical networks. We first introduce the GNPy library of applications and functionalities, then, we present validation of the GNPy core. The quality-of-transmission estimator (QoT-E) enables a quick and accurate prediction of the unique performance metric in WDM data transport of optical networks: the Generalized Signal-to-Noise Ratio (GSNR). The presented validation experiments show an excellent accuracy in predicting the GSNR compared to the values obtained experimentally. Finally, we present the GNPy integration with the ONOS network OS in a multi-vendor scenario including open reconfigurable add drop multiplexers (ROADMs) and the related validation experiment.

Indoor navigation services for people with visual impairment are being researched in academia, and working systems have already been deployed in public places. While previous research mainly focuses on computing the user's position with high accuracy, providing non-visual navigation instructions is also a challenge and naive approaches can fail in helping users reach their target destination or even expose them to hazards.In this paper we investigate the problem of guiding users to rotate towards a target direction. We propose three different sonification techniques that provide continuous guidance during rotation, and we compare them to a single-impulse baseline, used in previous works. We also explore three variations that reinforce the proposed techniques by combining them with the baseline. A preliminary study with 10 blind participants highlights two dominant techniques, which we analyze through a follow-up study with 18 participants, from 2 groups with very distant cultural backgrounds. While stark differences emerge in the performance from the two groups, we highlight two clear results common to both: 1) one of the proposed techniques significantly outperforms the baseline, reducing the average rotation error by a factor of 3.5 (from 11° to 3°); 2) the interaction speed of this technique, generally slower than the baseline, significantly improves when combined with the baseline technique.

Indoor navigation is an important service, currently investigated both in industry and academia. While the main focus of research is the computation of users' position, the additional challenge of conveying guidance instructions arises when the target user is blind or visually impaired (BVI). This contribution presents our ongoing research aimed at adopting sonification techniques to guide a BVI person. In particular we introduce three sonification techniques to guide the user during rotations. Preliminary results, conducted with 7 BVI people, show that some of the proposed sonification technique outperform a benchmark solution adopted in previous contributions.

In dynamic-traffic Wavelength Division Multiplexing (WDM) networks, it is desirable to guarantee each optical circuit a minimum Optical Signal-to-Noise Ratio (OSNR) throughout the circuit's entire lifetime. The objective of this paper is to increase such guaranteed OSNR, which in turn enables bandwidth-efficient modulation formats to be applied to the circuit signals. The guaranteed OSNR is improved by applying OSNR-driven Spectrum Assignment (OSA) constraints to each fiber link in the network, based on its forecast traffic volume (offered load). Applying OSA constraints to fiber links has two conflicting outcomes. On the one hand, circuit requests may experience higher blocking probabilities due to the lack of usable spectrum. On the other hand, the adverse effects of medium nonlinearity may be contained, thus yielding improved circuit OSNR. Two OSA constraints are described and their favorable impact on circuit OSNR (up to 2.75 dB gain) is estimated by using a Gaussian Noise (GN) model and an event-driven simulation of two WDM networks supporting dynamic circuits.

In GMPLS-based transparent optical networks, the switching and routing functionalities are performed in optical domain. However in these networks, physical layer impairments (PLIs) incurred by non-ideal transmission media accumulate along an optical path, and the overall effect determines the feasib

This paper explores the solution space for extending the signaling protocol of a GMPLS control plane for an impairment-aware path setup in transparent optical networks. Four combinations of routing and optical feasibility checking architectures based on modifications of RSVP-TE are proposed and studied. Simulation results show that a combination of hop- by-hop routing and feasibility check can be considered as a good compromise both in term of blocking probability and limited impact on the control plane. The slightly higher lightpath set-up time compared to other architectures can be tolerated especially considering the impact on the RSVP protocol current behavior as well as its independence from parameters strictly related to the network properties and topology.