Showing papers on "Measure (physics) published in 2022"

Stochastic Approach for the Analysis of Demand Induced Transients in Real Water Distribution Systems

Abstract: A stochastic approach for modeling and analysing the transients due to the users’ water consumptions in a real water distribution system is presented. The analysis is based on field measure...

Quantum coherence in a coupled optomechanical system with atomic ensemble

Abstract: In this study, we investigate the quantum coherence in a hybrid system comprising an atomic ensemble trapped in a cavity that is coupled with a standard cavity optomechanical system. By the concept of quantum coherence measure for Gaussian states, we show that the quantum coherence initially in a cavity and atom can be transferred to another cavity and the mechanical oscillator. The effects of other parameters related to the hybrid optomechanical system, such as the optical coupling, the detunings of the cavity and atom, and the atom–cavity coupling on the quantum coherence of each subsystem are investigated in detail. In addition, the corresponding bipartite coherence between the mechanical oscillator and other subsystems as well as the total coherence of the system are also analyzed.

Integrating Climate Change, Hydrology, and Water Footprint to Measure Water Scarcity in Lesotho, Africa

Abstract: This research integrated bias-corrected results from regional climate models, a watershed hydrology model, and water footprint analysis to measure the impact of climate change on future wat...

Identification of the Choquet integral parameters in the interaction index domain by means of sparse modeling

Abstract: The Choquet integral has been used as an aggregation operator in the field of multiple criteria decision aiding. Due to its nonlinear nature, the Choquet integral can model interactions between different criteria, such as synergy and redundancy. However, the identification of the Choquet integral parameters is a challenging problem due to its ill-posed nature, which may lead to non-unique solutions. In recent works, this problem has been addressed by considering regularization terms based on sparsity. In this work, this approach is also considered. However, differently from previous studies, in which the Choquet integral is parametrized by means of a fuzzy measure, we propose a novel identification method which exploits sparsity in a transformed domain known as interaction index representation. We provide a set of numerical experiments to assess the proposed method. As a second contribution of the paper, we conduct an identifiability analysis, in which the aim is to search for conditions that ensure that the identification process leads to unique solutions. This analysis is supported by a set of numerical experiments carried out in different scenarios.