Non intrusive polynomial chaos-based stochastic macromodeling of multiport systems

We present a novel technique to efficiently perform the variability analysis of electromagnetic systems. The proposed method calculates a Polynomial Chaos-based macromodel of the system transfer function that includes its statistical properties. The combination of a non-intrusive Polynomial Chaos approach with the Vector Fitting algorithm allows to describe the system variability features with accuracy and efficiency. The results of the variability analysis performed with the proposed method are verified by means of comparison with respect to the standard Monte Carlo analysis

Time-domain parametric sensitivity analysis of multiconductor transmission lines

We present a new parametric macromodeling technique for lossy and dispersive multiconductor transmission lines (MTLs). This technique can handle design parameters, such as substrate or geometrical layout features, and provide time-domain sensitivity information for voltage and currents at the ports of the lines. It is based on a recently introduced spectral approach for the analysis of lossy and dispersive MTLs [1], [2] and it is suited to generate state-space models and synthesize equivalent circuits, which can be easily embedded into conventional SPICE-like solvers. Parametric macromodels which provide sensitivity information are well suited for design space exploration, design optimization and crosstalk analysis. A numerical example validates the proposed approach in both frequency and time domain

Time-domain green's function-based parametric sensitivity analysis of multiconductor transmission lines

We present a new parametric macromodeling technique for lossy and dispersive multiconductor transmission lines. This technique can handle multiple design parameters, such as substrate or geometrical layout features, and provide time-domain sensitivity information for voltages and currents at the ports of the lines. It is derived from the dyadic Green's function of the 1-D wave propagation problem. The rational nature of the Green's function permits the generation of a time-domain macromodel for the computation of transient voltage and current sensitivities with respect to both electrical and physical parameters, completely avoiding similarity transformation, and it is suited to generate state-space models and synthesize equivalent circuits, which can be easily embedded into conventional SPICE-like solvers. Parametric macromodels that provide sensitivity information are well suited for design space exploration, design optimization, and crosstalk analysis. Two numerical examples validate the proposed approach in both frequency and time-domain

Stochastic macromodeling for hierarchical uncertainty quantification of nonlinear electronic systems

A hierarchical stochastic macromodeling approach is proposed for the efficient variability analysis of complex nonlinear electronic systems. A combination of the Transfer Function Trajectory and Polynomial Chaos methods is used to generate stochastic macromodels. In order to reduce the computational complexity of the model generation when the number of stochastic variables increases, a hierarchical system decomposition is used. Pertinent numerical results validate the proposed methodology

Efficient variability analysis of electromagnetic systems via polynomial chaos and model order reduction

We present a novel technique to perform the model-order reduction (MOR) of multiport systems under the effect of statistical variability of geometrical or electrical parameters. The proposed approach combines a deterministic MOR phase with the use of the Polynomial Chaos (PC) expansion to perform the variability analysis of the system under study very efficiently. The combination of MOR and PC techniques generates a final reduced-order model able to accurately perform stochastic computations and variability analysis. The novel proposed method guarantees a high-degree of flexibility, since different MOR schemes can be used and different types of modern electrical systems (e. g., filters and connectors) can be modeled. The accuracy and efficiency of the proposed approach is verified by means of two numerical examples and compared with other existing variability analysis techniques

Polynomial chaos based variability analysis of multiport systems

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The Evaluation in the Urban Projects Planning: A Logical-Deductive Model for the Definition of “Warning Areas” in the Esquilino District in the City of Rome (Italy)

With reference to the current focus on urban redevelopment issue, the evaluation of the projects plays a central role for the definition of effective urban development policies. In the present research, a logical-deductive model for the identification of “warning areas” is proposed. Given an urban area to be renovated, the developed methodological approach starts from the detection of the main existing architectural, historical and environmental emergencies in order to investigate the appreciation of the reference market for the higher or lower proximity to each considered urban pole. Thus, an econometric technique is implemented to examine the influence of each locational factor on selling prices, by assuming the property asset price increase as a proxy of the benefits generated by the urban redevelopment intervention for local communities. Furthermore, the proposed methodology is applied to the Esquilino district in the city of Rome (Italy), for which a relevant urge of urban regeneration is found, to orient the selection phases of the areas that need more attention from public entities

LA DIETA MEDITERRANEA: UN ORIZZONTE PER LE POLITICHE A FAVORE DELLE AREE INTERNE. RIPARTENDO DAI CORPI INTERMEDI DELLA SOCIETÀ

...  DOI: http://dx.medra.org/10.19254/LaborEst.10.0

The Economic Evaluations and the Real Estate Appraisals for the Effectiveness, Feasibility and Sustainability of Urban Regeneration Measures

The urban policies and territorial live a period of profound transformation, characterized by a shift to new approaches and governance tools. Public intervention implemented through programs active an application for assessment: beyond the explicit applications contained in the various intervention tools, the decision-making sphere, facing the loss of representativeness of organized politics and the growing complexity of the variables that influence the public choices has the absolute necessity of auxiliary tools that allow you to optimize the use of available resources and at the same time make the decision-making path shareable and transparent. Fewer resources always available, the importance of the time during transformation processes, the rational legitimacy of choices - pose a number of difficult problems to solve that lead to the need to experiment with new tools to support decision makers, from the early stage of planning or in the pre-design phase (Saaty, 1990; 2008).In this valuation context of compatible functional solutions, the Multiple-Criteria Decision Making (MCDM) methodologies (Roy & Bouyssou, 1993), and the Analytic Hierarchy Process (AHP) in particular, play a significant role as they allow to be taken into account all the intrinsic values of the assets in question, both economic and extra-economic. The use of these methods can provide choices that are not always based on the best cost-benefit ratio (Nesticò, Macchiaroli, & Pipolo, 2015). As well as guaranteeing the presence and the clarification of different values, the formalisation of an evaluation process carried out in these terms, expression of the community needs, also allows the control and the correspondence between general and specific choices. Since the asset is of particular value, it is, however, necessary that the various criteria and weights taken on the basis of the evaluation are shared by the community or rather, by direct users and by potential or future users