Polytechnic University of Turin

About: Polytechnic University of Turin is a education organization based out in Turin, Piemonte, Italy. It is known for research contribution in the topics: Finite element method & Nonlinear system. The organization has 11553 authors who have published 41395 publications receiving 789320 citations. The organization is also known as: POLITO & Politecnico di Torino.

Verification tools for probabilistic forecasts of continuous hydrological variables

Abstract: . In the present paper we describe some methods for verifying and evaluating probabilistic forecasts of hydrological variables. We propose an extension to continuous-valued variables of a verification method originated in the meteorological literature for the analysis of binary variables, and based on the use of a suitable cost-loss function to evaluate the quality of the forecasts. We find that this procedure is useful and reliable when it is complemented with other verification tools, borrowed from the economic literature, which are addressed to verify the statistical correctness of the probabilistic forecast. We illustrate our findings with a detailed application to the evaluation of probabilistic and deterministic forecasts of hourly discharge values.

A simplified thermal model for variable speed self cooled industrial induction motor

Abstract: In this paper, a simplified thermal model for variable-speed self-cooled induction motors is proposed and experimentally verified. The thermal model is based on simple equations that are compared with more complex equations well known in the literature. The proposed thermal model allows one to predict the over temperature in the main parts of the motor, starting from the measured or the estimated losses in the machine. In the paper, the description of the thermal model setup is reported in detail. Finally, the model is used to define the correct power derating for a variable-speed pulsewidth-modulation induction motor drive.

The Two-Echelon Capacitated Vehicle Routing Problem: Models and Math-Based Heuristics

Abstract: Multiechelon distribution systems are quite common in supply-chain and logistics They are used by public administrations in their transportation and traffic planning strategies, as well as by companies, to model own distribution systems In the literature, most of the studies address issues relating to the movement of flows throughout the system from their origins to their final destinations Another recent trend is to focus on the management of the vehicle fleets required to provide transportation among different echelons The aim of this paper is twofold First, it introduces the family of two-echelon vehicle routing problems (VRPs), a term that broadly covers such settings, where the delivery from one or more depots to customers is managed by routing and consolidating freight through intermediate depots Second, it considers in detail the basic version of two-echelon VRPs, the two-echelon capacitated VRP, which is an extension of the classical VRP in which the delivery is compulsorily delivered through intermediate depots, named satellites A mathematical model for two-echelon capacitated VRP, some valid inequalities, and two math-heuristics based on the model are presented Computational results of up to 50 customers and four satellites show the effectiveness of the methods developed

One- and two-equation models for canopy turbulence

Abstract: The predictive skills of single- and two-equation (or K-e) models to compute pro- files of mean velocity (U), turbulent kinetic energy (K), and Reynolds stresses ðu 0 w 0 Þ are compared against datasets collected in eight vegetation types and in a flume experiment. These datasets range in canopy height h from 0.12 to 23 m, and range in leaf area index (LAI) from 2 to 10 m 2 m � 2 . We found that for all datasets and for both closure models, measured and modelled U, K, and u 0 w 0 agree well when the mixing length (lm )i sa priori specified. In fact, the root-mean squared error between measured and modelled U, K, and u 0 w 0 is no worse than published values for second- and third-order closure approaches. Within the context of one- dimensional modelling, there is no clear advantage to including a turbulent kinetic dissipation rate (e) budget when lm can be specified instead. The broader implication is that the added complexity introduced by the e budget in K-e models need not translate into improved pre- dictive skills of U, K, and u0w0 profiles when compared to single-equation models.

Influence of anatomical, physical, and detection-system parameters on surface EMG

Abstract: Many previous studies were focused on the influence of anatomical, physical, and detection-system parameters on recorded surface EMG signals Most of them were conducted by simulations Previous EMG models have been limited by simplifications which did not allow simulation of several aspects of the EMG generation and detection systems We recently proposed a model for fast and accurate simulation of the surface EMG It characterizes the volume conductor as a non-homogeneous and anisotropic medium, and allows simulation of EMG signals generated by finite-length fibers without approximation of the current-density source The influence of thickness of the subcutaneous tissue layers, fiber inclination, fiber depth, electrode size and shape, spatial filter transfer function, interelectrode distance, length of the fibers on surface, single-fiber action-potential amplitude, frequency content, and estimated conduction velocity are investigated in this paper Implications of the results on electrode positioning procedures, spatial filter design, and EMG signal interpretation are discussed