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New Perspectives in Mathematical and Statistical Methods for Actuarial Sciences and Finance
No full textThe scientific exchange between mathematicians, statisticians and econometricians working in actuarial sciences and finance is improving the research on these topics and producing numerous meaningful scientific results. This volume includes a selection of papers presented at the Workshop New perspectives in Mathematical and Statistical Methods for Actuarial Sciences and Finance.
The workshop was a two-day study activity aimed at presenting new ideas and innovative lines of research in mathematical and statistical methods for insurance and finance, both from a theoretical and applied point of view. It was organized by the Department of Economics and Statistics of the University of Salerno and was held from 27 to 28 June 2025 in Salerno (Italy).
This book covers a wide variety of subjects, among others: Social well-being, Artificial intelligence and Machine learning in Insurance and Finance, Silver Economy and Insurance, Climate-related Risks and Insurance, Insurtech and Fintech, Catastrophe Risks, Cyber Risk.
This volume is a valuable resource for academics, PhD students, practitioners, professional and researchers. Moreover, it is also of interest to other readers with quantitative background knowledge
VIBROACOUSTIC ANALYSIS WITH DETERMINISTIC APPROACH (FEM AND IGA) UNDER STRONG FLUID-STRUCTURE COUPLING
No full textTHIS PHD THESIS PROPOSES A UNIFIED METHODOLOGY FOR VIBROACOUSTIC ANALYSIS BASED ON ISOGEOMETRIC ANALYSIS (IGA), WITH THE AIM OF DIRECTLY INTEGRATING THE GEOMETRIC DESIGN AND NUMERICAL SIMULATION STAGES. THE SCIENTIFIC AND INDUSTRIAL RELEVANCE OF THIS APPROACH LIES IN ITS ABILITY TO OVERCOME THE INTRINSIC LIMITATIONS OF TRADITIONAL METHODS SUCH AS THE FINITE ELEMENT METHOD (FEM) AND THE BOUNDARY ELEMENT METHOD (BEM), WHICH OFTEN SUFFER FROM GEOMETRIC INACCURACIES, FIELD DISCONTINUITIES, AND HIGH COMPUTATIONAL COSTS.
THE THESIS DEVELOPS A COMPREHENSIVE THEORETICAL AND COMPUTATIONAL FRAMEWORK THAT COMBINES GEOMETRIC FIDELITY, NUMERICAL EFFICIENCY, AND CAD INTEGRATION, OUTLINING A RESEARCH PATH THAT EXTENDS FROM THE PHYSICAL–MATHEMATICAL FOUNDATIONS TO INDUSTRIAL APPLICATIONS. AFTER DEFINING THE GOVERNING EQUATIONS OF VIBROACOUSTIC PHENOMENA AND THEIR VARIATIONAL FORMULATION, THE WORK INTRODUCES A RIGOROUS ISOGEOMETRIC REPRESENTATION OF STRUCTURAL AND ACOUSTIC FIELDS, HIGHLIGHTING HOW THE HIGH CONTINUITY OF NURBS FUNCTIONS ENABLES SMOOTHER AND MORE ACCURATE SOLUTIONS COMPARED TO EQUIVALENT FEM MODELS.
ONE OF THE MAIN CONTRIBUTIONS LIES IN THE APPLICATION OF A REDUCED-ORDER MODAL APPROACH, ALLOWING THE COUPLED VIBROACOUSTIC BEHAVIOR TO BE DESCRIBED THROUGH A LIMITED NUMBER OF MODAL SHAPES. THIS TECHNIQUE ACHIEVES A DRASTIC REDUCTION IN COMPUTATIONAL COST WHILE MAINTAINING HIGH MODEL FIDELITY WITH RESPECT TO THE FULL-ORDER SOLUTION (FOM), AS DEMONSTRATED BY SYSTEMATIC NUMERICAL COMPARISONS WITH BOTH IGA AND FEM.
A SECOND INNOVATIVE AXIS CONCERNS THE DIRECT INTEGRATION BETWEEN CAD AND IGA, PURSUED THROUGH AN IMMERSED ADAPTIVE REFINEMENT APPROACH BASED ON HIERARCHICAL B-SPLINES (HB-SPLINES). IN PARTICULAR, A METHODOLOGY IS PROPOSED FOR THE VOLUMETRIC RECONSTRUCTION OF THE FLUID DOMAIN STARTING FROM CAD BOUNDARY REPRESENTATIONS (B-REP), ENABLING THE EXTENSION OF A TWO-DIMENSIONAL GEOMETRIC DESCRIPTION INTO A VOLUMETRIC MODEL COMPATIBLE WITH ISOGEOMETRIC ANALYSIS. THE RECONSTRUCTED DOMAIN IS THEN COUPLED WITH A KIRCHHOFF–LOVE STRUCTURAL MODEL, ACHIEVING A FULLY AUTOMATED CAD-TO-IGA WORKFLOW.
THE FINAL PART OF THE THESIS DEMONSTRATES THE VALIDITY AND VERSATILITY OF THE METHOD THROUGH APPLICATIONS TO COMPLEX INDUSTRIAL SCENARIOS, IN WHICH IMMERSED IGA IS DIRECTLY APPLIED TO REAL CAD MODELS. THE RESULTS CONFIRM NOT ONLY THE SUPERIOR ACCURACY AND SMOOTHNESS OF IGA BUT ALSO THE FEASIBILITY OF AN EFFECTIVE INTEGRATION BETWEEN DESIGN AND ANALYSIS, REDUCING MODELING TIME AND ENHANCING THE ROBUSTNESS OF THE SIMULATION PROCESS.
OVERALL, THE THESIS REPRESENTS AN ORIGINAL METHODOLOGICAL AND APPLICATIVE CONTRIBUTION TO THE FIELD OF COMPUTATIONAL VIBROACOUSTICS, SHOWING HOW ISOGEOMETRIC ANALYSIS CAN SERVE AS AN EFFECTIVE BRIDGE BETWEEN CAD AND NUMERICAL SIMULATION. THIS RESEARCH PAVES THE WAY FOR A NEW GENERATION OF VIBROACOUSTIC ENGINEERING TOOLS CAPABLE OF COMBINING GEOMETRIC PRECISION, NUMERICAL EFFICIENCY, AND DIRECT INTEGRATION WITHIN THE INDUSTRIAL DESIGN ENVIRONMENT.THIS PHD THESIS PROPOSES A UNIFIED METHODOLOGY FOR VIBROACOUSTIC ANALYSIS BASED ON ISOGEOMETRIC ANALYSIS (IGA), WITH THE AIM OF DIRECTLY INTEGRATING THE GEOMETRIC DESIGN AND NUMERICAL SIMULATION STAGES. THE SCIENTIFIC AND INDUSTRIAL RELEVANCE OF THIS APPROACH LIES IN ITS ABILITY TO OVERCOME THE INTRINSIC LIMITATIONS OF TRADITIONAL METHODS SUCH AS THE FINITE ELEMENT METHOD (FEM) AND THE BOUNDARY ELEMENT METHOD (BEM), WHICH OFTEN SUFFER FROM GEOMETRIC INACCURACIES, FIELD DISCONTINUITIES, AND HIGH COMPUTATIONAL COSTS
Nietzsche a Basilea riscoprì la retorica
No full textAnalisi critico-filosofica delle lezioni basileesi di Nietzsche sulla retorica antica, la letteratura greca e il servizio divino presso i Greci
On-device training and pruning for energy saving and continuous learning in resource-constrained MCUs
No full textTiny Machine Learning has gained significant research interest in the Internet of Things and edge computing fields. In this direction, continuous on-device learning represents an emerging research topic that aims to improve performance and minimize concept drift and privacy violations related to the need to transmit on-field data to a remote server for periodic retraining and refinement of the model. However, the resource consumption resulting from the intensive and prolonged use of the neural network for inference activity, can represent a strong limitation in the use of tiny devices, particularly because of the stringent constraints on memory and power consumption.Therefore, this paper presents the implementation of a novel on-device pruning procedure, designed to reduce the model’s latency and power consumption, without the need to send data to a central server. It runs during the incremental on-board training process, directly on memory-constrained devices based on MCUs without relying on custom hardware. An experimental evaluation on real devices is provided to support machine learning developers in choosing what can be the best compromise between model performance and energy consumption
CORRELATION BETWEEN LEED CERTIFICATION AND LOW-CO2E BUILDINGS: TOWARDS A NEAR ZERO CARBON (NZC) DESIGN
No full textLife Cycle Assessment (LCA) is a versatile tool that can be applied in a variety of sectors, most notably in the context of sustainable building certification programmes such as LEED® (Leadership in Energy and Environmental Design). Over time, these certification schemes have evolved, incorporating innovations in the market to refine the criteria and broaden their impact.
The aim of this study is to demonstrate how the carbon emissions generated during the different phases of a building's life cycle can be effectively reduced through simulations performed using specific software, such as One Click LCA. Specifically, the LCA tool was used to evaluate the
environmental performance of the "Engineering Laboratories - Spin-offs and Consortia" building (Building L7), located on the Fisciano University campus, which obtained LEED PLATINUM certification in 2015. The objective was to investigate how an example of excellent design could
further improve its environmental performance through the use of advanced tools.
The analyses showed that design choices, particularly those related to the materials used, have a significant impact on achieving LEED certification. These results also provide valuable insights for the design of future buildings. More careful selection of materials and other design strategies can improve energy performance and minimise environmental impact, creating a replicable model for sustainable construction.
Today, the LEED system places increasing emphasis on integrating LCA tools into decision-making processes, promoting market transformation and improving the quality of environmental data. When used correctly, software such as One Click LCA can simplify the implementation of
Near Zero Carbon Buildings (NZC) and contribute to a more sustainable built environment
“True Idealism Is Realism”. Schiller as the Poet of the Ideal in Hermann Cohen
No full textThe paper highlights how Hermann Cohen's interpretation of Schiller is based on Platonism and Kantianism. Schiller is considered by Cohen to be “the poet of the ideal”, the true successor to Kantian aesthetics, who clearly understood the simple, profound and eternally true meaning of the Kantian method of philosophizing. Schiller embodies the true meaning of philosophy, which not only identifies with Platonic idealism, but also understands authentic idealism as realism. For Schiller, in fact, the ideal and form are not opposed to reality, since, on the contrary, it is they, through idealisation, that constitute reality as form, that is, as idea
Libros, viajes y viajeros: itinerarios de lo extraño en América Latina
No full textDel Nuevo Mundo hasta la contemporaneidad weird, de lo exótico americano a la extranjería del migrante, este volumen recorre los caminos de lo extraño en la región latinoamericana. Lo hace a través de la literatura y otras artes, entrelazando política y poesía, y moviéndose constantemente entre el centro y los márgenes del canon y del continente. Sin pretender agotarlos, destaca la increíble riqueza de estos itinerarios mediante una multiplicidad de enfoques críticos. Aunque este trabajo solo es una orientación, se confía en la posibilidad de haber despertado el deseo de nuevas exploraciones y más estudios sobre los vastos y aún misteriosos territorios de lo extraño
Adaptive Multi-round Influence Maximization with Limited Information
No full textThe Influence Maximization problem is a classic and well-studied problem in the area of Social Networks Analysis. In this problem you have a social network, a given information diffusion model, and a budget B, and you have to select a set of at most B nodes (seeds) to activate in order to start an information diffusion campaign that is able to reach the largest (expected) number of nodes in the network. Recently, to better model viral marketing scenarios where advertisers conduct multiple rounds of viral marketing to promote one product, attention has been given to the adaptive and the multi-round versions of the problem. Here the campaign is orchestrated on a horizon of T rounds and at the beginning of each round a different set of seeds is activated that can be adaptively selected given previous observations. In this work we generalize this setting to the case where the diffusion probabilities of the network links are not known and have to be learned while the campaign is running. We study the problem under the lens of online bandit algorithms, and we propose an online learning algorithm that is able to achieve a constant approximation of the optimal solution with only constant regret with respect to T. Despite these guarantees, the algorithm turns out to be unpractical in many settings. To address this issue, we propose an alternative approach and experimentally show that it provides satisfying guarantees both for regret and computational complexity
Simulating the transient dynamics of line-contact Elasto-Hydrodynamic Lubricated systems by solving a Differential Algebraic Equation set
No full textIn this paper a novel computational approach simulating the transient Elasto-Hydrodynamic Lubrication of line-contacts
is developed. It is based on the description of the fluid dynamics, solid mechanics and load dynamics occurring
simultaneously in the writing of a unified system of Differential Algebraic Equations, while they are discretised,
respectively, by the means of the Finite Difference Method, the Boundary Element Method (accounting for the Fast
Fourier Transform to evaluate the profiles’ deformation) and the trapezoidal integration of the lubricant pressure. The
assembled system is solved through the time marching executed by the means of Implicit Runge-Kutta methods feasible
with the problem: three simulations were presented in order to analyse the stationary minimum film thickness after the
sliding and load perturbations and to compare it with the well-established empirical one estimated by Dowson obtaining
satisfactory matching results, while other three simulations were proposed to analyse pure squeeze, harmonic sliding and
harmonic squeeze configurations, providing interesting discussions about the wave dynamics occurring in the lubricant
meatus due to the profiles’ approach dynamics. Furthermore, a selection between the used Runge-Kutta methods was
provided based on their converging results, highlighting the robustness of the diagonal ones for this type of problems