Higher Institute on Territorial Systems for Innovation
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Comparing Observed and Theoretical Acoustic Range of the Sciaena umbra Calls in a Marine Protected Area
No full textThis study investigates the acoustic propagation of reproductive calls produced
by the brown meagre (Sciaena umbra) within the Miramare Marine Protected
Area (Gulf of Trieste, Italy). Sound pressure levels recorded along three radial
transects extending from the center of vocal activity were compared with pre-
dictions from transmission loss modeling. The presence of chorusing was
assessed through manual inspection of audio recordings and spectrograms.
Although the shallow coastal environment imposes strong constraints on sound
transmission, choruses were detectable at distances of up to 400 m under low
anthropogenic sound conditions. This detection range, together with the spatial
distribution of calling activity, suggests the presence of multiple aggregations and
supports the hypothesis of lek-like reproductive behavior. Because chorusing is a
reliable proxy for spawning in this Vulnerable species, these findings underscore
the ecological importance of the Miramare MPA in facilitating successful repro-
duction and sustaining long-term population viabilit
Thermal design optimization of a parabolic trough collector receiver with a tube-bundle cavity
No full textThis work presents a numerical investigation of the thermo-hydraulic performance of a tube-bundle cavity (TB)
receiver for parabolic trough collectors (PTCs). The proposed receiver replaces the conventional single absorber
tube with multiple smaller tubes arranged in a circular bundle, forming a linear cavity that improves solar ab-
sorption and reduces temperature non-uniformities on the absorber surface. A three-dimensional CFD model is
developed under real-scale operating conditions to assess several TB configurations through a two-stage opti-
mization procedure. The designs are evaluated using thermal efficiency, pressure drop, and overall efficiency
metrics. The results indicate that, despite higher flow resistance, TB receivers significantly enhance thermal
performance compared to the conventional design. Hotspot temperature increases are reduced by up to 77%,
while temperature uniformity increases by approximately 23%. Among the investigated configurations, the 12-
tube design provides the best thermo-hydraulic compromise, achieving a maximum overall efficiency of 0.76 at
an inlet temperature of 450 K, corresponding to a 7% improvement over the standard receiver. Additional an-
alyses over inlet temperatures ranging from 400 to 550 K confirm the robustness of the optimized TB configu-
ration in mitigating hotspot formation while maintaining superior overall performance
Wearable Solutions for Acute Mental Stress Assessment and Mitigation
No full textL'abstract è presente nell'allegato / the abstract is in the attachmen
A novel FPGA-based time-to-digital converter featuring machine learning-aided self-calibration
Get PDFTime-to-digital converters (TDCs) implemented on Field-Programmable Gate Arrays (FPGAs) encounter significant challenges in achieving high precision. Unlike Application-Specific Integrated Circuits, FPGA-based TDCs must depend on standard logic elements as delay units, with each contributing different propagation delays due to process variations and available routing resources. These inconsistencies introduce non-uniformities in time measurement, degrading accuracy and thus requiring extensive calibration. A second major challenge is adapting analog-based time measurement techniques to the inherently digital nature of FPGAs. This work proposes a novel approach that eliminates the lengthy, time-consuming manual calibration by combining placement and routing optimization with machine learning techniques. We propose an approach based on custom placement and routing to minimize disturbance, while remaining errors due to process variation are compensated exploiting machine learning-based correction models. The work proposes and evaluates three different Machine-Learning (ML) models to interpret raw TDC outputs. Exploiting ML, we achieve a high-precision time measurement system capable of addressing the disturbances and non-linearities intrinsic to FPGA-based TDCs. This approach significantly reduces design complexity, accelerates deployment, and enhances the precision of FPGA-based TDCs, making them more scalable and suitable for a broad range of applications. Experimental results on a Kintex UltraScale FPGA show that the proposed ML-aided TDC achieves a timing precision below 15 ps, improving the precision of a conventional encoder-based FPGA TDC by more than 10.5 × and reaching performance comparable to a state-of-the-art ASIC TDC
Mapping Heritage Tourism Knowledge in Contemporary Iran: A Network and Spatial Analysis
No full textStudies on heritage tourism have received much attention in recent years, especially in Iran. This paper presents a comprehensive bibliographic review of Iranian heritage tourism research over the last thirteen years. The study takes advantage of the Geographic Information System (GIS) and VOSviewer bibliometric software to analyze the trend of heritage tourism studies from a geographical and thematic perspective. The results reveal that there is a significant ascending trend in the annual number of published articles on the field of heritage tourism starting from 2019. Moreover, the two provinces of Isfahan and Mazandaran made the greatest contributions to the research. Based on the analytic framework of our literature, 17 macro-categories were derived from the reviewed papers that accord with the development levels of studies on heritage tourism in different provinces. The analytical framework of the studies identifies three dominant orientations: (i) a natural-heritage predominance with a strong emphasis on eco-tourism and geo-tourism; (ii) development-oriented framings centred on growth, branding, and resilience; and (iii) a metropolitan and provincial concentration of study sites, particularly along the Isfahan–Mazandaran provinces. The implications of this study highlight the need for future improvements in the research relating to smart tourism aligned with the heritage context. This paper facilitates the researchers’ access to the collection of tourism studies by type and provides valuable insights into its prospects
Assessment of Dental Anomalies and Potential Application of Optical Coherence Tomography in Pediatric Patients with Osteogenesis Imperfecta
No full textL'abstract è presente nell'allegato / the abstract is in the attachmen
Dynamic depreciation for parts produced using laser-based powder bed fusion of polymers
No full textLaser-based powder bed fusion of polymers (PBF-LB/P) is one of the most widely used additive manufacturing technologies for producing complex and customized components. One of the key aspects of this process is the recycling of the powder, which is central to the technology’s overall efficiency. During reuse cycles, the powder undergoes inevitable chemical, physical and mechanical changes that directly affect the quality of the final artifacts. This directly impacts process sustainability and production costs. The Sum-of-the-Year’s Digits (SOYD) depreciation model, which has been proposed in the literature for metal powders, assumes an initial moderate decline in value, followed by a slower decline upon reuse. However, polymer powders can degrade more quickly than metal powders, reaching a point of no return sooner. Therefore, the SOYD model has been modified by introducing a nonlinear function to better reflect the non-constant loss of value of the powder. Initially, the loss of value accelerates, then stabilizes, and accelerates again towards the end of the powder’s useful life. The proposed depreciation model was used in a case study with two scenarios, which considered the varying residual economic values of recycled polyamide 12 (PA12) powder. The analysis shows that the method used to calculate powder reuse, whether in processing cycles or hours, can significantly impact on the overall material cost and, consequently, the final product cost
Towards a Protocol for Tangible Cultural Heritage Digital Twin
Get PDFCultural heritage includes a large variety of historical masonry constructions. The identification of their structural behaviour is challenging due to the complexities of the masonry constructions and the evolution of multiple phases of construction. Advanced tools for geometric surveying and structural analysis can facilitate the preservation of the cultural heritage but transferring data between these tools remains an issue. In this chapter, we propose a critical discussion on the integration between informative models and digital twins by underling open issues and future perspectives
D=4, N=2 Supergravity: An Unconventional Application
No full textThis chapter reports on a top-down approach relating N =2, D=4pure supergravity with non-trivial boundary behaviour to a (2 + 1)-dimensional analog model which is able to describe the electronic properties of graphene-like materials. This is obtained, in a special asymptotic limit, by imposing an unconventional realization of supersymmetry in the D = 3 boundary model
