Higher Institute on Territorial Systems for Innovation
PORTO@iris (Publications Open Repository TOrino - Politecnico di Torino)Not a member yet
146173 research outputs found
Sort by
Dataset of Bridge Collapses in Italy Spanning more than 25 years (2000–2025)
Get PDFThis dataset was developed as part of the research study “Bridge collapses in Italy across the 21st
century: survey and statistical analysis.” The dataset has been updated and now documents 250 bridge
collapse events that occurred in Italy between 2000 and 2025. Each entry includes some general
information and a proposed event classification. The former includes, the date and location of the
collapse, geographical coordinates (WGS84), administrative division, bridge use classification, number
of fatalities and injuries. The classification of each collapse is characterized by four major fields:
severity (Total Collapse or Partial Collapse), general cause (Natural or Human-induced), mechanism
(Triggered or Not-Triggered), and specific cause (e.g. hydraulic phenomena, overloads, impacts, or
material degradation).
The dataset was developed through systematic searches of institutional archives, news media, and
satellite imagery, complemented in some cases by in-situ visual inspections. It is structured in Excel
format and supports spatiotemporal analysis, risk assessment, and resilience planning. It is intended
for reuse in civil engineering, infrastructure asset management, disaster risk reduction, and policy
development contexts where empirical evidence of bridge collapse is required
Internal Constraints and Gauge Relations in the Theory of Uniaxial Nematic Elastomers
No full textWe apply the formalism of analytical mechanics for constrained systems to reformulate the equilibrium theory of uniaxial nematic elastomers, allowing for constitutive dependence on the gradient
of the director
. In this setting, inextensibility is enforced by requiring that
and that
. Starting from these constraints, and using the principle of virtual work within a thermomechanically consistent framework, we derive boundary-value problems for determining equilibrium configurations. We show that the original formulation yields an underdetermined system for the Lagrange multiplier fields unless ancillary gauge conditions are imposed. To resolve this indeterminacy, we introduce two effective Lagrange multiplier fields: one defined in the interior of the referential region and the other on that portion of the boundary where the director traction is prescribed
Novel Interactive Systems Promoting More Intentional Technology Use
Get PDFDigital technology permeates modern life, offering numerous benefits while simultaneously creating potential risks of dependency and overuse. Digital Self-Control Tools (DSCTs) represent the predominant attempted solution for digital wellbeing problems; however, they frequently prove ineffective for sustainable behavior change. My research investigates novel interactive systems that promote more intentional technology use, overcoming existing limitations. One of the approaches I pursued, grounded in psychological theories of behavior change, focused on improving current DSCTs through artificial intelligence integration to provide personalized guidance tailored to individual needs and help users improve their digital habits. Future validation may prove that an AI-based tailored approach to digital self-control can lead to actual change of habits and improvement in the long run. A second approach consisted of educational interventions through an educational system promoting digital wellbeing among youth to encourage young people to develop independently healthier technology usage patterns. Future approaches may emphasize more gamified or game-like systems to widen the target of digital educational means
Target Wake Time Scheduling for Time-sensitive and Energy-efficient Wi-Fi Networks
Get PDFTime Sensitive Networking (TSN) is fundamental for
the reliable, low-latency networks that will enable the Industrial
Internet of Things (IIoT). Wi-Fi has historically been considered
unfit for TSN, as channel contention and collisions prevent
deterministic transmission delays. However, this issue can be
overcome by using Target Wake Time (TWT), which enables the
access point to instruct Wi-Fi stations to wake up and transmit
in non-overlapping TWT Service Periods (SPs), and sleep in
the remaining time. In this paper, we first formulate the TWT
Acceptance and Scheduling Problem (TASP), with the objective to
schedule TWT SPs that maximize traffic throughput and energy
efficiency while respecting Age of Information (AoI) constraints.
Then, due to TASP being NP-hard, we propose the TASP Efficient
Resolver (TASPER), a heuristic strategy to find near-optimal
solutions efficiently. Using a TWT simulator based on ns-3,
we compare TASPER to several baselines, including HSA, a
state-of-the-art solution originally designed for WirelessHART
networks. We demonstrate that TASPER obtains up to 24.97%
lower mean transmission rejection cost and saves up to 14.86%
more energy compared to the leading baseline, ShortestFirst, in
a challenging, large-scale scenario. Additionally, when compared
to HSA, TASPER also reduces the energy consumption by 34%
and reduces the mean rejection cost by 26%. Furthermore,
we validate TASPER on our IIoT testbed, which comprises 10
commercial TWT-compatible stations, observing that our solution
admits more transmissions than the best baseline strategy,
without violating any AoI deadline
From Words to Emotions : Evaluating Text-to-Motion Body Language for Believable Emotions in Virtual Humans
No full textVirtual humans are computer-generated characters designed for believable interaction across extended reality applications such as gaming, training, and therapy. Virtual humans’ believability, which contributes to more immersive and engaging virtual experiences, is significantly enhanced by emotions in the form of facial expressions, vocal prosody, and expressive body language. Currently, creating emotional animations with a focus on body language, involves labor-intensive manual processes or costly motion-capture techniques. Text-to-motion synthesis leverages artificial intelligence to generate animations from textual prompts, offering a promising alternative to simplify animation workflows. However, existing models often prioritize physical realism over emotional expressiveness, an aspect that remains underexplored. This study evaluates emotional believability in animations generated by four text-to-motion models (LADiff, MDM, T2MGPT, Muse Animate). A user study, which involved 39 participants, assessed basic emotions portrayed during common actions, revealing that emotions such as anger and sadness were most recognizable via body language alone, while surprise and disgust posed greater challenges. These results align with previous body language research, emphasizing the strengths and limitations of AI generated emotional animations and offering insights to enhance virtual human expressiveness
Impact of demand response and network payment schemes on generation and transmission expansion planning with high renewable energy penetration
No full textNetwork Expansion Planning (NEP) plays a pivotal role in the development of power systems. It involves
investing in new generating units and transmission lines to meet growing load demands and ensure a reliable
electricity supply. Historically, the incorporation of demand response (DR) factors in power system planning has
been limited due to their complexity and evaluation challenges. However, with advancements in smart grid
technologies, increased integration of renewable energy, and the emergence of flexible loads, the inclusion of DR
models has become crucial for enhancing power system reliability. While numerous studies have delved into
generation and transmission expansion planning (GTEP) problems, only a few have explored the integration of
network payment schemes and DR within the GTEP framework. This study proposes a multi-annual generation
and transmission expansion planning model that incorporates three network payment schemes and two DR
techniques. The objective is to secure financing for new generating units and transmission lines while minimizing
the overall system cost. The proposed models employ the mixed-integer linear programming (MILP) optimization
method and are validated using a modified IEEE 24-bus system. Two key system performance metrics, namely
the network congestion index and network saturation index, are employed to assess system reliability and
effectiveness. These results demonstrate that the integration of network payment schemes and DR techniques
into the generation and transmission expansion planning model can lead to a cost reduction of 32.1% as
compared to base model, reduced power system congestion and saturation (22.1%, 2.73%) to allow more
renewable energy integration and enhanced power system reliability and operational flexibility
Color centers in diamond from single-photon emission to sensing applications
No full textL'abstract è presente nell'allegato / the abstract is in the attachmen
A method for spatially resolved techno-economic assessment of offshore wind-to-hydrogen systems: A northern Adriatic Sea case study
No full textThe evolving global energy landscape increasingly positions hydrogen as a key element in the transition toward a sustainable, carbon–neutral society. Concurrently, offshore wind renewable energy offers significant untapped potential. Using it to produce green hydrogen offshore presents a promising pathway to efficiently harness this resource for large-scale hydrogen generation. This work proposes a method for a georeferenced information system-based techno-economic assessment of hydrogen producibility (kt/year) and levelized cost at ports (€/kg), assuming an offshore system powered by wind energy that delivers hydrogen onshore via a dedicated pipeline. The flexibility of the method allows for its application across different offshore domains with high reproducibility. The techno-economic model is applied to a case study covering the northern Adriatic Sea, where the estimated hydrogen producibility ranges between 0.45 and 1.25 kt/year. This domain also serves as the basis for sensitivity analyses, which explore optimal design assumptions for the electrolyzer system, including efficiency and sizing. The results underscore the importance of a preliminary spatial eligibility assessment and the adequacy of approximating electrolyzer variable efficiency with its average value. Despite some periods of low utilization, the cost-optimal electrolyzer size resulted equal to the installed capacity of the offshore wind farm across all locations. Key cost-efficient hotspots are identified in both shallow and deep waters, with offshore levelized cost of electricity between 60 and 140 €/MWh, and levelized costs of hydrogen between 5 and 6 €/kg. These findings highlight the spatial dependence of hydrogen cost on critical parameters, particularly water depth and distance to ports
An invariance principle-based concentration result for large-scale stochastic pairwise interaction network systems
No full textWe study stochastic pairwise interaction network systems whereby a finite population of agents, identified with the nodes of a (directed) graph, update their states in response to both individual mutations and pairwise interactions with their neighbors. The considered class of systems includes the main epidemic models —such as the SIS, SIR, and SIRS models—, certain social dynamics models —such as the voter and antivoter models—, as well as evolutionary dynamics on graphs. Since these stochastic systems fall into the class of finite-state Markov chains, they always admit stationary distributions. We analyze the asymptotic behavior of the stationary distributions of stochastic pairwise interaction network systems in the limit as the population size grows large, while the interaction network maintains certain mixing properties. Our approach relies on the use of Lyapunov-type functions to obtain concentration results on these stationary distributions. Notably, our results are not limited to fully mixed population models, as they do apply to a much broader spectrum of interaction network structures, including, e.g., Erdos-Renyi random graphs
Design of advanced biobased photocurable formulations: from dynamic covalent network to composite scaffold for tissue engineering
Get PDFL'abstract è presente nell'allegato / the abstract is in the attachmen