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相关论文: 3D wind field profiles from hyperspectral sounders…

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3-D astrophysical atmospheres will have random velocity fields. We seek to combine the methods we have developed for solving the 1-D problem with arbitrary flows to those that we have developed for solving the fully 3-D relativistic…

太阳与恒星天体物理 · 物理学 2015-06-11 E. Baron , Peter H. Hauschildt , Bin Chen , Sebastian Knop

We introduce a second-order numerical scheme for compressible atmospheric motions at small to planetary scales. The collocated finite volume method treats the advection of mass, momentum, and mass-weighted potential temperature in…

数值分析 · 数学 2020-01-08 Tommaso Benacchio , Rupert Klein

The three-dimensional reconstruction of vocal folds in medicine usually involves endoscopy and an approach to extract depth information like structured light or stereo matching of images. The resulting mesh can accurately represent the…

流体动力学 · 物理学 2023-10-06 Daniel Zieger , Christoph Näger , Stefan Becker , Tobias Günther

This study extends the flow measurement method initially proposed in [22] to three-dimensional scenarios, addressing the growing need for accurate and efficient non-contact flow measurement techniques in complex hydrodynamic environments.…

数值分析 · 数学 2025-03-18 Jiwei Li , Lingyun Qiu , Zhongjing Wang , Hui Yu

A novel method to improve the accuracy of pressure field estimation from time-resolved Particle Image Velocimetry data is proposed. This method generates several new time-series of velocity field by propagating in time the original one…

流体动力学 · 物理学 2025-01-14 Junwei Chen , Marco Raiola , Stefano Discetti

The optimal power flow (OPF) problem, which plays a central role in operating electrical networks is considered. The problem is nonconvex and is in fact NP hard. Therefore, designing efficient algorithms of practical relevance is crucial,…

最优化与控制 · 数学 2014-08-20 S. Magnússon , P. C. Weeraddana , C. Fischione

Accurate measurements of atmospheric flows at meter-scale resolution are essential for a broad range of sustainability applications, including optimal design of wind and solar farms, safe and efficient urban air mobility, monitoring of…

流体动力学 · 物理学 2023-06-14 John O. Dabiri , Michael F. Howland , Matthew K. Fu , Roni H. Goldshmid

This work investigates the nonparametric estimation of the vector field of a noisy Ordinary Differential Equation (ODE) in high-dimensional ambient spaces, under the assumption that the initial conditions are sampled from a…

统计理论 · 数学 2025-11-07 Hugo Henneuse

Context: State of the art quantitative spectroscopy of OB-stars compares synthetic spectra (calculated by means of 1D, spherically symmetric computer codes) with observations. Certain stellar atmospheres, however, show strong deviations…

太阳与恒星天体物理 · 物理学 2018-09-12 L. Hennicker , J. Puls , N. D. Kee , J. O. Sundqvist

We propose a hybrid Finite Volume (FV) - Spectral Element Method (SEM) for modelling aeroacoustic phenomena based on the Lighthill's acoustic analogy. First the fluid solution is computed employing a FV method. Then, the sound source term…

Acoustic velocity vectors (AVVs) are related to the human's perception of sound at low frequencies and are widely used in Ambisonics. This paper proposes a spatial sound field reproduction algorithm called velocity matching, which…

音频与语音处理 · 电气工程与系统科学 2024-09-06 Jiarui Wang , Thushara Abhayapala , Jihui Aimee Zhang , Prasanga Samarasinghe

We analyze actual methods that generate smooth frame fields both in 2D and in 3D. We formalize the 2D problem by representing frames as functions (as it was done in 3D), and show that the derived optimization problem is the one that…

图形学 · 计算机科学 2015-07-14 Nicolas Ray , Dmitry Sokolov

We show how the 3DVAR data assimilation methodology can be used in the astrophysical context of a two-dimensional convection flow. We study the way this variational approach finds best estimates of the current state of the flow from a…

太阳与恒星天体物理 · 物理学 2013-08-09 Andreas Svedin , Milena C. Cuellar , Axel Brandenburg

This paper presents a characteristic-based flux partitioning for the semi-implicit time integration of atmospheric flows. Nonhydrostatic models require the solution of the compressible Euler equations. The acoustic time-scale is…

计算工程、金融与科学 · 计算机科学 2018-03-21 Debojyoti Ghosh , Emil M. Constantinescu

Particle Imaging Velocimetry (PIV) estimates the flow of fluid by analyzing the motion of injected particles. The problem is challenging as the particles lie at different depths but have similar appearance and tracking a large number of…

计算机视觉与模式识别 · 计算机科学 2020-03-24 Zhong Li , Jinwei Ye , Yu Ji , Hao Sheng , Jingyi Yu

An algorithm to estimate motion from satellite imagery is presented. Dense displacement fields are computed from time-separated images of of significant convective activity using a Bayesian formulation of the motion estimation problem.…

大气与海洋物理 · 物理学 2007-05-23 Sai Ravela , Virat Chatdarong

Accurately estimating latent velocity vector fields of atmospheric winds is crucial for understanding weather phenomena. Direct measurement of atmospheric winds is costly, especially in the upper atmosphere, so researchers attempt to…

应用统计 · 统计学 2025-06-12 Youssef Fahmy , Maria Laura Battagliola , Joseph Guinness

Today, low-altitude fixed-wing Unmanned Aerial Vehicles (UAVs) are largely limited to primitively follow user-defined waypoints. To allow fully-autonomous remote missions in complex environments, real-time environment-aware navigation is…

机器人学 · 计算机科学 2017-12-12 Philipp Oettershagen , Florian Achermann , Benjamin Müller , Daniel Schneider , Roland Siegwart

Active vision (AV) has been in the spotlight of robotics research due to its emergence in numerous applications including agricultural tasks such as precision crop monitoring and autonomous harvesting to list a few. A major AV problem that…

Volumetric phenomena, such as clouds and fog, present a significant challenge for 3D reconstruction systems due to their translucent nature and their complex interactions with light. Conventional techniques for reconstructing scattering…

计算机视觉与模式识别 · 计算机科学 2023-11-30 Jacob Lin , Miguel Farinha , Edward Gryspeerdt , Ronald Clark
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