Politecnio die Bari - Catalogo di prodotti della Ricerca
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    36616 research outputs found

    A Multi-Slice Lawful Interception Framework for Beyond-5G Networks: Design and Evaluation of a Standard-Compliant Emulation Testbed

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    Network slicing enables the creation of logically isolated, service-specific virtual networks over a shared infrastructure, supporting differentiated Quality of Service (QoS) and security guarantees. However, the dynamic and encrypted nature of these slices introduces new challenges for Lawful Interception (LI). Current 3GPP and ETSI specifications do not fully support multi-slice interception, particularly in the presence of end-to-end encryption (E2EE). This paper presents a standards-compliant LI framework tailored for B5G slicing environments. The LI Framework is deployed on a containerized testbed built with Open5GS and OpenLI, enabling reproducible experimentation in controlled multi-slice scenarios. The system supports per-slice interception of file transfers and encrypted VoIP traffic. A secure, identity-based key escrow scheme enables lawful decryption while preserving user privacy and slice isolation. Experimental results show a latency overhead below 10 ms in all test scenarios, demonstrating the feasibility of low-impact, compliant interception in modern B5G networks

    Lifetime-aware nonlinear model predictive speed control for electric vehicle power converters

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    This paper presents a nonlinear model predictive control (NMPC) strategy for speed tracking in electric vehicles that accounts for the thermal degradation of the power inverter module. The method integrates a real-time damage predictor based on thermal cycling and cycle counting, enabling adaptive weighting in the NMPC cost function. This allows the controller to balance speed tracking and thermal stress, extending component lifetime based on the actual and predicted health of the power module. Simulations results using a high-fidelity vehicle model under WLTC and ARTEMIS cycles show that the damage-aware controller significantly reduces thermal stress and accumulated damage while maintaining accurate speed tracking

    Physics-Informed Neural Networks for Predicting Indoor Temperature and Cooling Demand in Historic Buildings

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    Buildings are complex assets, characterised by evolving uses, variable occupancies, and long-life cycles, which lead to high operational costs and significant energy demands. Globally, buildings are responsible for 30–40 % of greenhouse gas emissions, making accurate energy forecasting essential for reducing both economic and environmental impacts. Despite the growing adoption of Machine Learning (ML) methods, these approaches often require large datasets and struggle to maintain physical consistency, particularly in data-scarce contexts such as historic buildings, where energy efficiency measures must also comply with heritage constraints. To address these challenges, this study proposes a hybrid predictive framework based on Physics-Informed Neural Networks (PINNs), dynamic energy simulations, and energy balance constraints to forecast, 1 h ahead, the indoor operative temperature (To) and cooling electricity consumption (Eel,Cool) of a historic public building in southern Italy. The PINN operates in two stages: first predicting To,t+1 and then estimating Eel,Cool,t+1 by combining data-driven learning with thermodynamic principles. This approach reduces reliance on computationally expensive simulations, shortens prediction times, and provides physically consistent predictions. Results confirm the superiority of the PINN over conventional ML models, achieving an RMSE of 0.091 °C (CVRMSE = 0.34 %, MBE = 0.025 °C, and NMBE = 0.09 %) for To and 2.12 kWh (CVRMSE = 9.95 %, MBE = 0.04 kWh, and NMBE = 0.19 %) for Eel,Cool. Compared to MLP, Random Forest, and Linear Regression, the PINN reduced RMSE by 96.8 %, 96.7 %, and 98.6 % respectively for To, and by 26.1 %, 24.3 %, and 68.4 % for Eel,Cool. These findings highlight the potential of PINNs to bridge the gap between data scarcity and physical interpretability, enabling robust energy forecasting and comfort optimization in heritage contexts

    Innovative non-destructive thermographic evaluation of mechanical properties in dissimilar aluminium probeless friction stir spot welded (P-FSSW) joints

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    This study introduces a novel non-destructive methodology based on step-heating laser thermography technique to evaluate the mechanical strength of dissimilar aluminium joints produced through probeless friction stir spot welding (P-FSSW). The proposed approach enables the quantitative analysis of the thermo-mechanically stirred region, distinguishing two different morphologies (ductile and mixed) correlated with the joint's ultimate mechanical strength. Eleven welded joints were analysed by using two of them used for calibration through thermographic tests, Chisel and scanning electron microscopy (SEM) analyses. At the same time, nine underwent tensile-shear tests were carried out to correlate thermographic parameters (A1, A2) with maximum force (Fmax). Statistical analysis revealed that the ductile area (A2) is the most significant parameter, exhibiting a robust correlation with Fmax (r = 0.81). A simplified regression model based on A2 demonstrated high reliability (adjusted R2 = 0.60). This methodology provides a significant advancement in non-destructive quality control for P-FSSW joints, paving the way for its integration into industrial applications. The developed procedure offers a reliable, contactless, and scalable solution for real-time industrial inspection of P-FSSW joints, representing a significant alternative to conventional destructive testing methods

    Boltzmann to Lindblad: Classical and Quantum Approaches to Out-of-Equilibrium Statistical Mechanics

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    Open quantum systems play a central role in contemporary nanoscale technologies, including molecular electronics, quantum heat engines, quantum computation and information processing. A major theoretical challenge is to construct dynamical models that are simultaneously consistent with classical thermodynamics and complete positivity. In this work, we develop a framework that addresses this issue by extending classical stochastic dynamics to the quantum domain. We begin by formulating a generalized Langevin equation in which both friction and noise act symmetrically on the two Hamiltonian equations. From this, we derive a generalized Klein-Kramers equation expressed in terms of Poisson brackets, and we show that it admits the Boltzmann distribution as its stationary solution while satisfying the first and second laws of thermodynamics along individual trajectories. Applying canonical quantization to this classical framework yields two distinct quantum master equations, depending on whether the friction operators are taken to be Hermitian or non-Hermitian. By analyzing the dynamics of a harmonic oscillator, we determine the conditions under which these equations reduce to a Lindblad-type generator. Our results demonstrate that complete positivity is ensured only when friction and noise are included in both Hamiltonian equations, thus fully justifying the classical construction. Moreover, we find that the friction coefficients must satisfy the same positivity condition in both the Hermitian and non-Hermitian formulations, revealing a form of universality that transcends the specific operator representation. The formalism offers a versatile tool for deriving quantum versions of the thermodynamic laws and is directly applicable to a wide class of nonequilibrium nanoscale systems

    Continuous Hairpin Winding Technology for Electric Machines Enabling Net Zero Transportation: A Comprehensive Review

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    Featured by low power losses and strong heat dissipation capability, hairpin winding has been widely accepted as a key enabler of boosting performance for traction/propulsion electrical machines in automotive and aerospace sectors. Continuous hairpin winding (CHW), distinguished by its further improvement brought to machines’ key performance indicators, being power density, efficiency, and reliability, is emerging as a more promising winding solution. This paper will provide a critical technology review on CHW, with focus on highlighting its different features compared with those of other typical winding types, manufacturing/assembly process, layout design rules, as well as current and future development trends. Based on illustration of the unique winding process, the so-called “radial shift” feature that inherently exists in CHW will be introduced. The key elements in winding layout development, including transposition, terminal and jumper connections, parallel branch number, will be summarised for CHW. Moreover, new technology bricks and research ideas that strive to tackle manufacturing challenges, enhance design flexibility, as well as improve overall performance have been highlighted. Finally, the paper concludes by proposing future research directions, with the vision of increasing its Technology Readiness Level (TRL) for future net-zero transportation

    Customer and Shopping Experience as a plural practice. The Natuzzi case between local tradition and the internationalization of Made in Italy

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    Il contributo presenta uno stato d’avanzamento della ricerca MICS – Made in Italy Circolare e Sostenibile e fa riferimento al progetto “Cultural value chain. From local traditional production districts to a new country of origin effect”, la cui Sezione “A3- Shopping experience in physical stores. New paradigms for the user engagement” è curata dall’autore. La ricerca, le cui prime fasi sono state presentate in altri contesti nazionali e internazionali, ha qui un approfondimento sulla customer e shopping experience intesa come pratica plurale e su un caso studio specifico: la Natuzzi spa, azienda fondatrice del Distretto del Mobile Imbottito della Murgia. Gli obiettivi riguardano l’analisi delle strategie di user engagement della Natuzzi (azienda partner della ricerca) nei contesti del web e dello store, al fine di valutarne le potenzialità in termini di interazione sociale e di valorizzazione culturale sia dei contesti locali di riferimento sia del Made in Italy in generale. La metodologia adottata prevede di inquadrare storicamente il Distretto Murgiano e la Natuzzi in quanto sua azienda leader e di esaminarne poi su siti web, piattaforme on line e attraverso la letteratura esistente le forme attraverso cui essa mette in campo le azioni di potenziamento del rapporto tra design thinking e user interaction.The paper presents the current state of progress of the MICS – Circular and Sustainable Made in Italy research project and refers to the subproject “Cultural value chain. From local traditional production districts to a new country of origin effect”, specifically to the section “A3 – Shopping experience in physical stores. New paradigms for user engagement”, curated by the author. The research, whose initial phases have been presented in other national and international contexts, here focuses on customer and shopping experience seen as a plural practice, and on a specific case study: Natuzzi S.p.A., the founding company of the Murgia Upholstered Furniture District. The objectives concern the analysis of Natuzzi’s user engagement strategies (as a research partner) within both web and store contexts, in order to assess their potential in terms of social interaction and cultural enhancement—both of the local contexts of reference and of Made in Italy as a whole. The adopted methodology involves a historical framing of the Murgia District and Natuzzi as its leading company, followed by an examination—through websites, online platforms, and existing literature—of the ways in which the company develops actions aimed at strengthening the relationship between design thinking and user interaction

    Modelling and Application of Bucking Restrained Braces for Performance-Based Earthquake Engineering Frameworks

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    Purpose: This paper proposes a more efficient methodology of calculation than methodologies proposed by literature for the design of Buckling Restrained Braces (BRBs) in the framework of the Performance-Based Earthquake Engineering (PBEE). Methods: The methodology is based on non-linear dynamic analyses with multiple scaled records to each PBEE level and the statistical treatment of the results. As a case study, a PC-BRB all-steel type has been applied to a RC 8-story frame structure. The BRB used in this research is a pinned diagonal type. The fundamental parameters of BRBs to attend PBEE requirements it was firstly established and a complete methodology to retrofit a reinforced concrete frame were finally proposed. Results: Very promising results are discussed. As for example, it has been demonstrated that the initial values obtained from a static simplified method are appropriate as the first stage of the design process

    Social innovation based on marginality: an analytical framework for the genesis and development dynamics of policies, projects, and practices in response to the housing exclusion

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    The article aims to establish an analytical framework for examining practices, projects, and policies relevant to the national context of the housing crisis. This framework facilitates the exploration of potential applications for analyzing specific transformations in living arrangements. It is based on the intersection of the formal/informal and conventional/unconventional variables, thus allowing for the classification of observable cases and the reconstruction of the processes through which responses to the housing emergency are formulated. Special attention is given to the emergence of innovation in housing and social policies arising from informal and unconventional practices that residents spontaneously adopt. Given that the reduction or denial of the right to housing is socially, politically, and even constitutionally unacceptable, it is important to emphasize the structural limitations of public administrations as levers for expressing the identity of civil society. It is also necessary to acknowledge the administration’s own need to collaborate authentically with residents to fulfill its roles and functions

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