The evolution of low power electronics and the availability new smart materials are opening frontiers to develop wearable systems for medical applications, lifestyle monitoring, performance detection. This paper presents development realization a novel insole monitoring plantar pressure distribution gait parameters; indeed, it includes piezoresistive sensing matrix based on Velostat layer transducing applied into an electric signal. At first, accurate complete characterization Velostat-based...

Our ability to deal with external changes is determined by our collective willingness transform and adopt new technologies.These factors are driven people's opinion on the change itself proposed policies.Humans constantly update their integrating information they hear values, which helps them make a judgement about that information.Here, we create an agent-based model explicitly incorporates concept of values explore possible drivers dynamics.In model, several perform local global...

We study the problem of transforming a multi-way contingency table into an equivalent with uniform margins and same dependence structure. This is old question which relates to recent advances in copula modeling for discrete random vectors. In this work, we focus on binary tables develop novel theory show how zero patterns affect existence uniqueness transformation as well its statistical interpretability terms The implementation relies combinatorial linear programming techniques. Several...

Copula modelling has in the past decade become a standard tool many areas of applied statistics. However, largely neglected aspect concerns design related experiments. Particularly issue whether estimation copula parameters can be enhanced by optimizing experimental conditions and how robust all parameter estimates for model are with respect to type employed. In this paper an equivalence theorem (bivariate) models is provided that allows formulation efficient algorithms quick checks designs...

Optimum experimental design theory has recently been extended for parameter estimation in copula models. The use of these models allows one to gain flexibility by considering the model set split into marginal and dependence parameters. However, this separation also leads natural issue estimating only a subset all In work, we treat problem with application [Formula: see text]-optimality First, provide an extension corresponding equivalence theory. Then, analyze wide range flexible highlight...

This work proposes the development of two BLE-connected chest bands for monitoring breathing activity. The first relies on a custom strain sensor based piezoresistive fabric and low-power conditioning acquisition section. A microcontroller unit jointly processes collected data with inertial ones provided by an integrated IMU to extract respiration rate (RR). Also, second band uses inertial-based detection method through dual-accelerometer approach deriving respiratory signal. In detail, IMUs...

Optimum experimental design theory has recently been extended for parameter estimation in copula models. However, the choice of correct dependence structure still requires wider analyses. In this work issue selection is treated by using discrimination techniques. The new proposed approach consists use $D_s$-optimality following an extension corresponding equivalence theory. We also present some examples and highlight strength such a criterion as way to discriminate between various classes...

Modern weather forecasts are typically in the form of an ensemble obtained from multiple runs numerical prediction models. Ensemble usually biased and affected by dispersion errors, they should be statistically corrected to gain accuracy. This is often done following a two-step approach: first, we correct univariate forecasts, then, reconstruct dependence structure non-parametrically via empirical copulas. The parametric correction limited Gaussian copula-based methods. In this work, propose...

We study the problem of transforming a multi-way contingency table into an equivalent with uniform margins and same dependence structure. Such relates to recent developments in copula modeling for discrete random vectors. Here, we focus on three-way binary tables show that, even such simple case, situation is quite different than two-way tables. Many more constraints are needed ensure unique solution problem. Therefore, uniqueness transformed subject arbitrary choices practitioner....

Hybrid Prognostics and Health Management (PHM) frameworks for light-emitting diodes (LEDs) seek accurate remaining useful life (RUL) predictions by merging information from physics-of-failure laws with data-driven models tools online monitoring data collection. Uncertainty quantification (UQ) uncertainty reduction are essential to achieve assess the effect of heterogeneous operational-environmental conditions, lack data, noises on LED durability. Aleatory is considered in hybrid frameworks,...

In this paper, we study discrete quasi-copulas associated with imprecise copulas. We focus on copulas that are in correspondence the Alternating Sign Matrices and provide some construction techniques of dual pairs. Additionally, show how to obtain (full-domain) self-dual through patchwork techniques. further investigate properties constructed pairs prove they coherent avoiding sure loss.

Discrete copulas are useful tools in statistics to represent the joint distribution of discrete random vectors.Furthermore, they fascinating mathematical objects that admit a representation as convex polytope.In this work, we analyze set extreme points polytopes copulas.We focus on general class defined arbitrary grid domains unit square, thereby providing complete characterization extremal most setting.To do so, exploit well-known results transportation polytopes.Finally, show presented...