Results 11 to 20 of about 2,762 (185)
Assessing the dynamics and severity of seawater intrusion in a vulnerable coastal aquifer: an integrated hydrogeochemical facies and ionic ratios approach in Paravur, India [PDF]
Coastal aquifer monitoring commonly assumes that seawater intrusion decreases progressively with increasing distance from the shoreline. However, this assumption may not hold in hydrogeologically complex coastal settings. This study investigated seawater
Mophin Kani Kani +2 more
doaj +3 more sources
Adaptive IMM-UKF for Airborne Tracking
In this paper, we propose a nonlinear tracking solution for maneuvering aerial targets based on an adaptive interacting multiple model (IMM) framework and unscented Kalman filters (UKFs), termed as AIMM-UKF. The purpose is to obtain more accurate estimates, better consistency of the tracker, and more robust prediction during sensor outages.
Arroyo Cebeira, Álvaro +1 more
openaire +3 more sources
In view of problems of large errors and low accuracy of positioning technology in coal mine, the strapdown inertial navigation system was introduced into coal mine personnel and equipment for precise positioning and navigation.
LIU Xiaowen, WANG Cun, WANG Long
doaj +1 more source
The evaluation of the psychometric properties and the factor structure of the slovak version of the questionnaire FFMQ (five-facet mindfulness questionnaire) [PDF]
Problem: The aim of the present study was to adapt the English self-report questionnaire Five-Facet Mindfulness Questionnaure (FFMQ - Baer et al., 2006) to Slovak conditions as well as to evaluate its psychometric properties and to investigate its 5 ...
Veronika Látalová, Ľubor Pilárik
doaj
Objective In order to cope with massive passenger flow incidents, it is necessary to identify accurately the spatial and temporal distribution state and the evolution law of massive passenger flow in urban rail transit, making short-term prediction of ...
WANG Hefei +3 more
doaj +1 more source
A Code for Unscented Kalman Filtering on Manifolds (UKF-M) [PDF]
The present paper introduces a novel methodology for Unscented Kalman Filtering (UKF) on manifolds that extends previous work by the authors on UKF on Lie groups. Beyond filtering performance, the main interests of the approach are its versatility, as the method applies to numerous state estimation problems, and its simplicity of implementation for ...
Martin Brossard +2 more
openaire +2 more sources
Algorithm of BPNN‐UKF based on a fusion model for SOC estimation in lithium‐ion batteries
Lithium‐ion batteries (LIBs) are widely used as energy storage devices. Accurately estimating the state of charge (SOC) is critical for the safe operation of LIBs, but the complex internal characteristics of LIBs make this a difficult task. In this study,
Jiashun Lin +5 more
doaj +1 more source
Evaluating anisotropy‐based Monin–Obukhov similarity theory over canopies and complex terrain
This study shows that an anisotropy‐based generalization of Monin–Obukhov surface‐layer scaling (SC23) applies readily across a wide range of atmospheric conditions with variable terrain, canopies, and land‐cover complexity. This work focuses on the scaling of velocity variances for 7 years at the 47 sites in the National Ecological Observation Network
Tyler S. Waterman +3 more
wiley +1 more source
ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani +1 more
wiley +1 more source
Short selling ETFs and market performance
Abstract We examine short selling activity in leveraged Exchange‐Traded Funds (ETFs) and its impact on underlying index performance. Using a novel measure of ETF short exposure, which includes long positions in inverse leveraged ETFs, we document that high short exposure is associated with positive performance in the subsequent period.
Doina C. Chichernea +2 more
wiley +1 more source

