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Related papers: Measuring granular flow through a funnel with a fo…

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We explore flow of a completely wetting fluid in a funnel, with particular focus on contact line instabilities at the fluid front. While the flow in a funnel may be related to a number of other flow configurations as limiting cases,…

Fluid Dynamics · Physics 2023-06-13 T. -S. Lin , J. A. Dijksman , L. Kondic

The flow inside a precessing fluid cavity has been given particular attention since the end of the 19th century in geophysical and industrial contexts. The present study aims at shedding light on the underlying mechanism by which the flow…

Fluid Dynamics · Physics 2015-06-19 Yufeng Lin , Jerome Noir , Andrew Jackson

Gravitational lensing is one of the most powerful probes of dark matter, yet creating high-fidelity lensed images at scale remains a bottleneck. Existing tools rely on ray-tracing or forward-modeling pipelines that, while precise, are…

Instrumentation and Methods for Astrophysics · Physics 2025-11-17 Hamees Sayed , Pranath Reddy , Michael W. Toomey , Sergei Gleyzer

This paper proposes a framework to guide an optical flow network with external cues to achieve superior accuracy either on known or unseen domains. Given the availability of sparse yet accurate optical flow hints from an external source,…

Computer Vision and Pattern Recognition · Computer Science 2021-10-01 Matteo Poggi , Filippo Aleotti , Stefano Mattoccia

We study tracking control for uncertain nonlinear multi-input, multi-output systems modelled by $r$-th order functional differential equations (encompassing systems with arbitrary strict relative degree) in the presence of input…

Optimization and Control · Mathematics 2023-04-18 Thomas Berger

Granular flows through pipes show interesting phenomena, e.g. clogging and density waves, 1/f-noise. These things are fairly good studied by computer-experiments, but there is a lack in theoretical and analytical consideration. We introduce…

Statistical Mechanics · Physics 2008-12-03 T. L. Riethmueller , D. Rosenkranz , L. Schimansky-Geier

Many applications in computational and experimental fluid mechanics require effective methods for reconstructing the flow fields from limited sensor data. However, this task remains a significant challenge because the measurement operator,…

Fluid Dynamics · Physics 2024-11-22 Phong C. H. Nguyen , Joseph B. Choi , Quang-Trung Luu

We show the possibility to improve the measurement sensitivity of a weak force by using two meters in an entangled state. This latter can be achieved by exploiting radiation pressure effects.

Quantum Physics · Physics 2009-11-07 Stefano Mancini , Paolo Tombesi

In this paper, we describe a simple apparatus consisting of a scale, capable of a one milligram resolution, and a commonly obtainable magnet to measure magnetic forces. This simple apparatus is capable of measuring magnetic properties of…

Materials Science · Physics 2014-08-01 Jan A. Makkinje , George O. Zimmerman

The investigation of liquid flow at the nanoscale is a key area of applied research with high relevance to Physics, Chemistry and Biology. We introduce a method and a device that allows to spatially resolve liquid flow by integrating an…

Mesoscale and Nanoscale Physics · Physics 2016-08-24 R. F. Neumann , M. Engel , M. Steiner

The ubiquitous deployment of monitoring devices in urban flow monitoring systems induces a significant cost for maintenance and operation. A technique is required to reduce the number of deployed devices, while preventing the degeneration…

Computer Vision and Pattern Recognition · Computer Science 2020-02-07 Kun Ouyang , Yuxuan Liang , Ye Liu , Zekun Tong , Sijie Ruan , Yu Zheng , David S. Rosenblum

Measurement devices always add noise to the signal of interest and it is necessary to evaluate the variance of the results. This article focuses on stationary random processes whose Power Spectrum Density is a power law of frequency. For…

Data Analysis, Statistics and Probability · Physics 2013-05-20 Benjamin Lenoir

Particle Flow Filters perform the measurement update by moving particles to a different location rather than modifying the particles' weight based on the likelihood. Their movement (flow) is dictated by a drift term, which continuously…

Computational Engineering, Finance, and Science · Computer Science 2025-07-04 Simone Servadio

Granular gases are commonly characterized through their velocity distribution, which provides access to the granular temperature. In experiments, velocity distributions are typically obtained by particle tracking, which however becomes…

We study experimentally and computationally the dynamics of granular flow during impacts, where intruders strike a collection of disks from above. In the regime where granular force dynamics are much more rapid than the intruder motion, we…

Soft Condensed Matter · Physics 2016-05-25 Abram H. Clark , Lou Kondic , Robert P. Behringer

We investigate the dynamics of an intruder pulled by a constant force in a dense two-dimensional granular fluid by means of event-driven molecular dynamics simulations. In a first step, we show how a propagating momentum front develops and…

Statistical Mechanics · Physics 2012-02-29 Andrea Fiege , Matthias Grob , Annette Zippelius

Flow sensing is fundamental to both biological survival and technological innovation. Inspired by biological mechanoreceptors, artificial flow sensors detect subtle fluid motion using slender, viscous-driven structures. Among these,…

Fluid Dynamics · Physics 2025-11-17 Wei Sun , Wanyin Zheng , Xiangyu Wei , David A. Czaplewski , Ronald N. Miles , Jian Zhou

We analytically derive and experimentally demonstrate a method for the simultaneous measurement of deflection for large arrays of cantilevers. The Fresnel diffraction patterns of a cantilever independently reveals tilt, curvature, cubic and…

Instrumentation and Detectors · Physics 2013-07-18 Rodolfo I. Hermans , Joe M. Bailey , Gabriel Aeppli

Large-scale structures suffer high-frequency deformations due to complex loads. However, harsh lighting conditions and high equipment costs limit measurement methods based on traditional high-speed cameras. This paper proposes a method to…

Computer Vision and Pattern Recognition · Computer Science 2025-12-18 Yifei Bian , Banglei Guan , Zibin Liu , Ang Su , Shiyao Zhu , Yang Shang , Qifeng Yu

In this paper, we introduce a novel mechanism that uses machine learning techniques to detect water leaks in pipes. The proposed simple and low-cost mechanism is designed that can be easily installed on building pipes with various sizes.…

Sound · Computer Science 2025-01-22 Hossein Pourmehrani , Reshad Hosseini , Hadi Moradi