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Taehoon Lee, Byungjin Lee and Sangkyung Sung
This study proposes an enhanced integration algorithm that combines the magnetic field-based positioning system (MPS?Magnetic Pose Estimation System) with an inertial system with the advantage of an invariant filter structure. Specifically, to mitigate t...
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Yuyuan Zhou, Chao Sun and Lei Xie
Environmental mismatch degrades the performance of source localization and tracking methods in shallow water. One solution is to estimate source parameters and the key environmental parameters simultaneously from the acoustic data. In this paper, an unco...
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Khalid Oubennaceur, Karem Chokmani, Miroslav Nastev, Marion Tanguy and Sebastien Raymond
A reliability approach referred to as the point estimate method (PEM) is presented to assess the uncertainty of a two-dimensional hydraulic model. PEM is a special case of numerical quadrature based on orthogonal polynomials, which evaluates the statisti...
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Khalid Oubennaceur, Karem Chokmani, Miroslav Nastev, Marion Tanguy and Sebastien Raymond
A reliability approach referred to as the point estimate method (PEM) is presented to assess the uncertainty of a two-dimensional hydraulic model. PEM is a special case of numerical quadrature based on orthogonal polynomials, which evaluates the statisti...
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Laughlin D. L. Barker and Louis L. Whitcomb
This paper addresses the problem of ice-relative underwater robotic vehicle navigation relative to moving or stationary contiguous sea ice. A review of previously-reported under-ice navigation methods is given, as well as motivation for the use of under-...
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Isabel Moromi Nakata, Francisco García Fernández, Ana Torre Carrillo, Pedro Espinoza Haro, Luis Acuña Pinaud
Pág. 319 - 329
The use of artificial neural networks as a modeling tool for the physic-mechanical properties of diverse materials has experienced great advances in the last ten years, mainly due to the increased in computing capacities of computers. This technique has ...
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Steven R. Fassnacht, Arren Mendezona Allegretti, Niah B. H. Venable, María E. Fernández-Giménez, Sukh Tumenjargal, Martin Kappas, Melinda J. Laituri, Batjav Batbuyan and Anna K. D. Pfohl
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Steven R. Fassnacht, Arren Mendezona Allegretti, Niah B. H. Venable, María E. Fernández-Giménez, Sukh Tumenjargal, Martin Kappas, Melinda J. Laituri, Batjav Batbuyan and Anna K. D. Pfohl
Across the globe, station-based meteorological data are analyzed to estimate the rate of change in precipitation. However, in sparsely populated regions, like Mongolia, stations are few and far between, leaving significant gaps in station-derived precipi...
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Yang Cao, Jing Zhang, Mingxiang Yang, Xiaohui Lei, Binbin Guo, Liu Yang, Zhiqiang Zeng and Jiashen Qu
The China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool model (CMADS) have been widely applied in recent years because of their accuracy. An evaluation of the accuracy and efficiency of the Soil and Water Assessment ...
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Francesco De Simone, Ian M. Hedgecock, Francesco Carbone, Sergio Cinnirella, Francesca Sprovieri and Nicola Pirrone
Establishing mercury (Hg) source-receptor (SR) relationship matrices provides a tool to improve the understanding of the geographic relationship between regions of Hg release and its eventual deposition. SR relationship matrices are therefore a useful st...
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Xudong Han, Yongling Fu, Yan Wang, Mingkang Wang and Deming Zhu
The control accuracy and stability of the electrohydrostatic actuator (EHA) are directly impacted by parameter uncertainty, disturbance uncertainty, and non-matching disturbance, which negatively impacts aircraft rudder maneuvering performance and even r...
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Andreas Nugaard Holm, Dustin Wright and Isabelle Augenstein
Uncertainty approximation in text classification is an important area with applications in domain adaptation and interpretability. One of the most widely used uncertainty approximation methods is Monte Carlo (MC) dropout, which is computationally expensi...
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Kecen Li, Haopeng Zhang and Chenyu Hu
Estimation of spacecraft pose is essential for many space missions, such as formation flying, rendezvous, docking, repair, and space debris removal. We propose a learning-based method with uncertainty prediction to estimate the pose of a spacecraft from ...
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Casey L. Denham, Mayuresh Patil, Christopher J. Roy and Natalia Alexandrov
Flight testing has been the historical standard for determining aircraft airworthiness. However, increases in the cost of flight testing and the accuracy of inexpensive CFD encourage the adoption of certification by analysis to reduce or replace flight t...
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Bastian Klein, Dennis Meissner, Hans-Ulrich Kobialka, Paolo Reggiani
Pág. 1 - 22
Predictive uncertainty (PU) is defined as the probability of occurrence of an observed variable of interest, conditional on all available information. In this context, hydrological model predictions and forecasts are considered to be accessible but yet u...
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Bastian Klein, Dennis Meissner, Hans-Ulrich Kobialka and Paolo Reggiani
Predictive uncertainty (PU) is defined as the probability of occurrence of an observed variable of interest, conditional on all available information. In this context, hydrological model predictions and forecasts are considered to be accessible but yet u...
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Satoshi Matsuda and Tokihiro Katsui
The Reynolds-averaged Navier?Stokes (RANS)-based computational fluid dynamics (CFD) calculation using a two-equation turbulence model, such as the k?omega shear-stress transport (SST) model, is a mainstream method with sufficient accuracy for the estimat...
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Nicolas Akil, Guillaume Artigue, Michaël Savary, Anne Johannet and Marc Vinches
Neural networks are used to forecast hydrogeological risks, such as droughts and floods. However, uncertainties generated by these models are difficult to assess, possibly leading to a low use of these solutions by water managers. These uncertainties are...
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Hesheng Tang, Xueyuan Guo, Liyu Xie and Songtao Xue
The uncertainty in parameter estimation arises from structural systems? input and output measured errors and from structural model errors. An experimental verification of the shuffled complex evolution metropolis algorithm (SCEM-UA) for identifying the o...
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Phuong Cu Thi, James E Ball and Ngoc Hung Dao
In the last few decades tremendous progress has been made in the use of catchment models for the analysis and understanding of hydrologic systems. A common application involves the use of these models to predict flows at catchment outputs. However, the o...
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