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Journal articles on the topic 'Path-velocity decomposition'

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1

Kant, Kamal, and Steven W. Zucker. "Toward Efficient Trajectory Planning: The Path-Velocity Decomposition." International Journal of Robotics Research 5, no. 3 (1986): 72–89. http://dx.doi.org/10.1177/027836498600500304.

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2

Pham, Quang-Cuong, Stéphane Caron, Puttichai Lertkultanon, and Yoshihiko Nakamura. "Admissible velocity propagation: Beyond quasi-static path planning for high-dimensional robots." International Journal of Robotics Research 36, no. 1 (2016): 44–67. http://dx.doi.org/10.1177/0278364916675419.

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Path-velocity decomposition is an intuitive yet powerful approach to addressing the complexity of kinodynamic motion planning. The difficult trajectory planning problem is solved in two separate, simpler steps: first, a path is found in the configuration space that satisfies the geometric constraints (path planning), and second, a time-parameterization of that path satisfying the kinodynamic constraints is found. A fundamental requirement is that the path found in the first step must be time-parameterizable. Most existing works fulfill this requirement by enforcing quasi-static constraints dur
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3

Jain, Vasundhara, Uli Kolbe, Gabi Breuel, and Christoph Stiller. "Collision Avoidance for Multiple Static Obstacles using Path-Velocity Decomposition." IFAC-PapersOnLine 52, no. 8 (2019): 265–70. http://dx.doi.org/10.1016/j.ifacol.2019.08.081.

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4

Wang, Dier, and Jun Zhang. "Two improved scanning path planning algorithms and a 3D printing control system with circular motion controller." Rapid Prototyping Journal 28, no. 4 (2021): 695–703. http://dx.doi.org/10.1108/rpj-08-2020-0190.

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Purpose This paper aims to improve the infilling efficiency and the quality of parts forming. It proposes two improved scanning path planning algorithm based on velocity orthogonal decomposition. Design/methodology/approach The algorithms this paper proposes replace empty paths and corners with circular segments, driving each axis synchronously according to the SIN or COS velocity curve to make the extruder always moves at a constant speed at maximum during the infilling process. Also, to support the improved algorithms, a three-dimensional (3D) printing control system based on circular motion
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Thyri, Emil H., Morten Breivik, and Anastasios M. Lekkas. "A Path-Velocity Decomposition Approach to Collision Avoidance for Autonomous Passenger Ferries in Confined Waters." IFAC-PapersOnLine 53, no. 2 (2020): 14628–35. http://dx.doi.org/10.1016/j.ifacol.2020.12.1472.

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6

Chen, Yixiao, Xinzhi Zhou, Jialiang Zhu, Chenlong Dong, Tao Xu, and Hailin Wang. "Measured Regional Division Optimization for Acoustic Tomography Velocity Field Reconstruction in a Circular Area." Sensors 24, no. 6 (2024): 2008. http://dx.doi.org/10.3390/s24062008.

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The acoustic tomography (AT) velocity field reconstruction technique has become a research hotspot in recent years due to its noninvasive nature, high accuracy, and real-time measurement advantages. However, most of the existing studies are limited to the reconstruction of the velocity field in a rectangular area, and there are very few studies on a circular area, mainly because the layout of acoustic transducers, selection of acoustic paths, and division of measured regions are more difficult in a circular area than in a rectangular area. Therefore, based on AT and using the reconstruction al
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Liu, Ke, Guanzheng Wen, Yao Fu, and Honglin Wang. "A Hierarchical Lane-Changing Trajectory Planning Method Based on the Least Action Principle." Actuators 13, no. 1 (2023): 10. http://dx.doi.org/10.3390/act13010010.

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This paper presents a hierarchical lane-changing trajectory planner based on the least action principle for autonomous driving. Our approach aims to achieve reliable real-time avoidance of static and moving obstacles in multi-vehicle interaction scenarios on structured urban roads. Unlike previous studies that rely on subjective weight allocation and single weighting methods, we propose a novel trajectory planning strategy that decomposes the process into two stages: candidate trajectory generation and optimal trajectory decision-making. The candidate trajectory generation employs a path-veloc
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Wu, Jianwei, Deer Bin, Xiaobing Feng, Zhongpu Wen, and Yin Zhang. "GA Based Adaptive Singularity-Robust Path Planning of Space Robot for On-Orbit Detection." Complexity 2018 (May 28, 2018): 1–11. http://dx.doi.org/10.1155/2018/3702916.

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As a new on-orbit detection platform, the space robot could ensure stable and reliable operation of spacecraft in complex space environments. The tracking accuracy of the space manipulator end-effector is crucial to the detection precision. In this paper, the Cartesian path planning method of velocity level inverse kinematics based on generalized Jacobian matrix (GJM) is proposed. The GJM will come across singularity issue in path planning, which leads to the infinite or incalculable joint velocity. To solve this issue, firstly, the singular value decomposition (SVD) is used for exposition of
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9

Cercignani, Carlo, Irene M. Gamba, Joseph W. Jerome, and Chi-Wang Shu. "Applicability of the High Field Model: An Analytical Study Via Asymptotic Parameters Defining Domain Decomposition." VLSI Design 8, no. 1-4 (1998): 135–41. http://dx.doi.org/10.1155/1998/54618.

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In this paper, we present a mesoscopic-macroscopic model of self-consistent charge transport. It is based upon an asymptotic expansion of solutions of the Boltzmann Transport Equation (BTE). We identify three dimensionless parameters from the BTE. These parameters are, respectively, the quotient of reference scales for drift and thermal velocities, the scaled mean free path, and the scaled Debye length. Such parameters induce domain dependent macroscopic approximations. Particular focus is placed upon the so-called high field model, defined by the regime where drift velocity dominates thermal
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Ralla, Rajeev, Karunamoorthy Rengasamy Kannathasan, and Ilgar Jafarli. "PROPER ORTHOGONAL DECOMPOSITION TECHNIQUE FOR DIMENSIONAL REDUCTION FOR NUMERICAL SNAPSHOT MATRIX." ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International Scientific and Practical Conference 4 (June 8, 2025): 337–43. https://doi.org/10.17770/etr2025vol4.8447.

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Computational fluid dynamics (CFD) simulations generate huge datasets with many variables such as Velocity and Pressure at nodes, elements, and time steps. It is challenging and expensive to analysis large datasets and storage, developing applications over the large datasets required additional computational resources and storage volume. To addresses this problem, we have employed data reduction technique for the reduction of the complexity and utilize its computational resources. Reduced Order Modelling emerged technique leading dimensional reduction yet preserving dominant features, patterns
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11

Lin, Minghui, Sabyasachi Roy, and Matthias Militzer. "In situ measurement of austenite grain growth and recrystallization using laser ultrasonics." Journal of Physics: Conference Series 2635, no. 1 (2023): 012039. http://dx.doi.org/10.1088/1742-6596/2635/1/012039.

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Abstract The development of next generation process models and advanced high-strength steel products for thin slab casting and direct rolling requires quantification of microstructure evolution during thermomechanical processing. Laser ultrasonics is a non-contact in-situ method to record grain growth, recrystallization and phase transformations in metals and alloys. Here, we will present an improved experimental design that facilitates a continuous microstructure measurement through the various stages of simulated hot rolling from reheating to runout table cooling using a Gleeble thermomechan
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12

Wang, Yi, Xueyi Shang, Zewei Wang, and Rui Gao. "High-Accuracy Location of Microseismic Events in a Strong Inhomogeneous Mining Environment by Optimized Global Full Waveform Inversion." Applied Sciences 10, no. 20 (2020): 7205. http://dx.doi.org/10.3390/app10207205.

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High-accuracy determination of a microseismic (MS) location is the core task in MS monitoring. In this study, a 3D multi-scale grid Green’s function database, depending on recording wavefield frequency band for the target mining area, is pre-generated based on the reciprocity theorem and 3D spectral element method (SEM). Then, a multi-scale global grid search strategy is performed based on this pre-stored Green’s function database, which can be effectively and hierarchically processed by searching for the spatial location. Numerical wavefield modeling by SEM effectively overcomes difficulties
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13

Wang, Yadong, Shuliang Jia, Mingze Guo, Yan Zhang, and Yongjun Wang. "Dynamic Multi-Path Airflow Analysis and Dispersion Coefficient Correction for Enhanced Air Leakage Detection in Complex Mine Ventilation Systems." Processes 13, no. 7 (2025): 2214. https://doi.org/10.3390/pr13072214.

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Mine ventilation systems are critical for ensuring operational safety, yet air leakage remains a pervasive challenge, leading to energy inefficiency and heightened safety risks. Traditional tracer gas methods, while effective in simple networks, exhibit significant errors in complex multi-entry systems due to static empirical parameters and environmental interference. This study proposes an integrated methodology that combines multi-path airflow analysis with dynamic longitudinal dispersion coefficient correction to enhance the accuracy of air leakage detection. Utilizing sulfur hexafluoride (
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14

Wang, Wei, Yang Wang, and Tieshan Li. "Distributed Formation Maneuvering Quantized Control of Under-Actuated Unmanned Surface Vehicles with Collision and Velocity Constraints." Journal of Marine Science and Engineering 12, no. 5 (2024): 848. http://dx.doi.org/10.3390/jmse12050848.

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This paper focuses on a distributed cooperative time-varying formation maneuvering issue of under-actuated unmanned surface vehicles (USVs). A fleet of USVs is guided by a parameterized path with a time-varying formation while avoiding collisions and preserving the connectivity in the environment with multiple obstacles. In some surface missions, due to the obstacles in the external environment, the bandwidth limitations of the communication channel, and the hardware components/performance constraints of the USVs themselves, each vehicle is considered to be subject to model uncertainty, actuat
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15

Morse, David L., Edwin D. Waddington, and L. A. Rasmussen. "Ice deformation in the vicinity of the ice-core site at Taylor Dome, Antarctica, and a derived accumulation rate history." Journal of Glaciology 53, no. 182 (2007): 449–60. http://dx.doi.org/10.3189/002214307783258530.

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AbstractKnowledge of ice flow and strain rate in the vicinity of the Taylor Dome (East Antarctica) ice-core site enhances interpretation of the paleoclimate information from the ice core. We measured surface ice motion by repeated optical and GPS surveys of a network of 253 markers. We developed a robust data reduction method that uses least squares based on singular value decomposition, to simultaneously calculate positions and velocities of these markers in a geocentric coordinate system. Constrained by these surface velocities, we used a finite-element model to compute the modern ice veloci
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16

Mason, Carolyn R., Lalin S. Theverapperuma, Claudia M. Hendrix, and Timothy J. Ebner. "Monkey Hand Postural Synergies During Reach-to-Grasp in the Absence of Vision of the Hand and Object." Journal of Neurophysiology 91, no. 6 (2004): 2826–37. http://dx.doi.org/10.1152/jn.00653.2003.

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Understanding how the CNS controls reach-to-grasp will require behavioral and neurophysiological studies of reach-to-grasp in the monkey, including the evaluation of whole-hand grasp with explicit force requirements. In this study, monkeys performed a reach-to-grasp task in which the size, shape, and orientation of the objects were varied. The monkeys were required to grasp each object at five force levels based on visual feedback. Seventeen positions on the wrist and hand were monitored to quantify kinematics. Hand shaping began with initiation of reach and continued throughout the reach, mat
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17

Delman, Andrew S., Julie L. McClean, Janet Sprintall, Lynne D. Talley, Elena Yulaeva, and Steven R. Jayne. "Effects of Eddy Vorticity Forcing on the Mean State of the Kuroshio Extension." Journal of Physical Oceanography 45, no. 5 (2015): 1356–75. http://dx.doi.org/10.1175/jpo-d-13-0259.1.

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AbstractEddy–mean flow interactions along the Kuroshio Extension (KE) jet are investigated using a vorticity budget of a high-resolution ocean model simulation, averaged over a 13-yr period. The simulation explicitly resolves mesoscale eddies in the KE and is forced with air–sea fluxes representing the years 1995–2007. A mean-eddy decomposition in a jet-following coordinate system removes the variability of the jet path from the eddy components of velocity; thus, eddy kinetic energy in the jet reference frame is substantially lower than in geographic coordinates and exhibits a cross-jet asymme
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18

Guo, Wusong, Hao Yan, and Hanshuang Chen. "Extremal statistics for first-passage trajectories of drifted Brownian motion under stochastic resetting." Journal of Statistical Mechanics: Theory and Experiment 2024, no. 2 (2024): 023209. http://dx.doi.org/10.1088/1742-5468/ad2678.

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Abstract We study the extreme value statistics of first-passage trajectories generated from a one-dimensional drifted Brownian motion subject to stochastic resetting to the starting point with a constant rate r. Each stochastic trajectory starts from a positive position x 0 and terminates whenever the particle hits the origin for the first time. We obtain an exact expression for the marginal distribution P r ( M | x 0 ) of the maximum displacement M. We find that stochastic resetting has a profound impact on P r ( M | x 0 ) and the expected value ⟨ M ⟩ of M. Depending on the drift velocity v,
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19

Mattern, M., J. Kainulainen, M. Zhang, and H. Beuther. "Structure and fragmentation of a high line-mass filament: Nessie." Astronomy & Astrophysics 616 (August 2018): A78. http://dx.doi.org/10.1051/0004-6361/201731778.

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Context. An increasing number of hundred-parsec-scale, high line-mass filaments are being detected in the Galaxy. Their evolutionary path, including fragmentation towards star formation, is virtually unknown. Aims. We characterize the fragmentation within the hundred-parsec-scale, high line-mass Nessie filament, covering size-scales in the range ~0.1–100 pc. We also connect the small-scale fragments to the star-forming potential of the cloud. Methods. We combine near-infrared data from the VISTA Variables in the Via Lactea (VVV) survey with mid-infrared Spitzer/GLIMPSE data to derive a high-re
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20

Kułacz, Karol, Michał Pocheć, Aneta Jezierska, and Jarosław J. Panek. "Naphthazarin Derivatives in the Light of Intra- and Intermolecular Forces." Molecules 26, no. 18 (2021): 5642. http://dx.doi.org/10.3390/molecules26185642.

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Our long-term investigations have been devoted the characterization of intramolecular hydrogen bonds in cyclic compounds. Our previous work covers naphthazarin, the parent compound of two systems discussed in the current work: 2,3-dimethylnaphthazarin (1) and 2,3-dimethoxy-6-methylnaphthazarin (2). Intramolecular hydrogen bonds and substituent effects in these compounds were analyzed on the basis of Density Functional Theory (DFT), Møller–Plesset second-order perturbation theory (MP2), Coupled Clusters with Singles and Doubles (CCSD) and Car-Parrinello Molecular Dynamics (CPMD). The simulation
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21

Fraichard, Th. "Trajectory Planning Amidst Moving Obstacles: Path-Velocity Decomposition Revisited." Journal of the Brazilian Computer Society 4, no. 3 (1998). http://dx.doi.org/10.1590/s0104-65001998000100002.

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22

Fu, Tengfei, Hongliang Zhou, and Zhiyuan Liu. "Integrated decision-making and path planning framework for autonomous driving in multi-lane obstacle avoidance." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, April 12, 2025. https://doi.org/10.1177/09544070251327764.

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Obstacle avoidance in multi-lane traffic scenarios remains a critical challenge for autonomous vehicles, requiring robust decision-making and precise path planning to ensure safety and efficiency in dynamic environments. This paper proposes an integrated framework combining a Time-to-Collision (TTC)-based module for rapid risk assessment and a Large Language Model (LLM)-assisted decision-making module to handle complex situations involving conflicting risks. A novel Velocity-Direction Decomposition (VDD) kinematic model is introduced to address the limitations of classical Longitudinal-Lateral
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23

Yücesan, Sencer, Daniel Wildt, Philipp Gmeiner, et al. "Turbulent secondary flows in low aspect ratio open-channels over heterogeneous surfaces: Anisotropy in forces." Physics of Fluids, December 29, 2022. http://dx.doi.org/10.1063/5.0131020.

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Studies of turbulent flows over heterogeneous surfaces revealed elevated turbulent kinetic energy and Reynolds shear stress in low-momentum-path (LMP) regions. These regions induce large-scale multi-cellular secondary flows. The aim of the current study is to analyse the influence of these regions on drag, lift and lateral forces acting on spherical particles at different exposure levels, thereby addressing the hitherto unknown contribution of the spanwise inhomogeneities. For this reason, numerical simulations of turbulent open-channel flow with varying aspect ratio ( AR = 1, 3, 5) over singl
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24

Fan, Di, Yang Xu, Hongping Wang, and Jinjun Wang. "Comparative assessment for pressure field reconstruction based on physics-informed neural network." Physics of Fluids 35, no. 7 (2023). http://dx.doi.org/10.1063/5.0157753.

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In this paper, a physics-informed neural network (PINN) is used to determine pressure fields from the experimentally measured velocity data. As a novel method of data assimilation, PINN can simultaneously optimize velocity and solve pressure by embedding the Navier–Stokes equations into the loss function. The PINN method is compared with two traditional pressure reconstruction algorithms, i.e., spectral decomposition-based fast pressure integration and irrotation correction on pressure gradient and orthogonal-path integration, and its performance is numerically assessed using two kinds of flow
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25

Merrill, Reid J., Michael G. Bostock, Simon M. Peacock, and David S. Chapman. "Optimal Multichannel Stretch Factors for Estimating Changes in Seismic Velocity: Application to the 2012 Mw 7.8 Haida Gwaii Earthquake." Bulletin of the Seismological Society of America, March 8, 2023. http://dx.doi.org/10.1785/0120220250.

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ABSTRACT We propose new methods for assessing temporal changes in seismic velocity using the S-wave coda for repeating earthquakes and cross-correlation functions of ambient noise. For a pair of seismic waveforms representing a common source–receiver path, the relative change in path-averaged velocity over the corresponding time interval is directly proportional to the factor by which one waveform needs to be stretched or compressed with respect to the other to achieve maximum coherence. For an arbitrary number of waveforms, initial pair-wise stretch factors determined through standard approac
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26

Ebert, Carola, Julien Weiss, Maarten Uijt de Haag, Christopher Ruwisch, and Flavio J. Silvestre. "Trajectory Planning in Windy Urban Environment Using Gappy Proper Orthogonal Decomposition for Wind Estimates." AIAA Journal, May 8, 2023, 1–12. http://dx.doi.org/10.2514/1.j062049.

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A trajectory planning algorithm based on the traditional A* formulation is designed to determine the minimum-energy path from a start to a final location taking into account the prevailing wind conditions. To obtain average wind conditions in an urban environment, full-scale Reynolds-averaged Navier–Stokes simulations are first performed using OpenFoam® for various inlet wind directions on a computational model representing complex buildings on the campus of the Technical University of Berlin. The proper orthogonal decomposition (POD) modes of the full database are then calculated in an offlin
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27

Wang, Anzhe, Yefei Wang, Xin Ji, et al. "Fuzzy backstepping controller for agricultural tractor-trailer vehicles path tracking control with experimental validation." Frontiers in Plant Science 15 (December 17, 2024). https://doi.org/10.3389/fpls.2024.1513544.

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Unmanned driving technology for agricultural vehicles is pivotal in advancing modern agriculture towards precision, intelligence, and sustainability. Among agricultural machinery, autonomous driving technology for agricultural tractor-trailer vehicles (ATTVs) has garnered significant attention in recent years. ATTVs comprise large implements connected to tractors through hitch points and are extensively utilized in agricultural production. The primary objective of current research focus on autonomous driving technology for tractor-trailers is to enable the tractor to follow a reference path wh
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28

Hoseinzadeh, Siamak, and Davide Astiaso Garcia. "Numerical Analysis of Thermal, Fluid, and Electrical Performance of a Photovoltaic Thermal Collector at New Micro-Channels Geometry." Journal of Energy Resources Technology 144, no. 6 (2021). http://dx.doi.org/10.1115/1.4052672.

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Abstract In this article, different paths (direct, spiral, and curved) for water flow in a photovoltaic/thermal (PV/T) system are studied, and they are compared together. The intensity of radiation to the cell surface is taken 800 W/m2, and the fluid flow is considered to be laminar in the micro-channels. The PV cell absorbing radiation is of an aluminum type. The numerical solution of the three geometries is carried out using the finite volume method using ansys-fluent software. The pressure decomposition, momentum and energy discretization, and the solution of the pressure–velocity coupling
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29

"Influence of train-generated vibrations on embankment." Acta Montanistica Slovaca 28, no. v28/i3 (2023): 678–86. http://dx.doi.org/10.46544/ams.v28i3.12.

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Roads and railway lines are often constructed on different geotechnical structures such as tunnels, cuttings, and/or embankments. Three main parts are necessary to consider to evaluate vibration: the source of vibrations, vibration propagation path, and receiver of the signal. This paper describes a review of the influence of train-generated vibrations on an embankment and a building in the surroundings. The first presented case study documents an interpretation of seismic signal in the frequency domain using wavelet transform. The algorithm, which we apply to the computation of the wavelet tr
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30

Pátý, Marek, and Sergio Lavagnoli. "A Novel Vortex Identification Technique Applied to the 3D Flow Field of a High-Pressure Turbine." Journal of Turbomachinery 142, no. 3 (2020). http://dx.doi.org/10.1115/1.4045471.

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Abstract The efficiency of modern axial turbomachinery is strongly driven by the secondary flows within the vane or blade passages. The secondary flows are characterized by a complex pattern of vortical structures that origin, interact, and dissipate along the turbine gas path. The endwall flows are responsible for the generation of a significant part of the overall turbine loss because of the dissipation of secondary kinetic energy and mixing out of nonuniform momentum flows. The understanding and analysis of secondary flows requires a reliable vortex identification technique to predict and a
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31

Shi, Fenghao, Mengqi Liu, David L. S. Hung, Xuesong Li, and Min Xu. "Valve Vibration Induced Intake Air Flow Dynamics Analysis Using Near Valve PIV." Journal of Engineering for Gas Turbines and Power, July 18, 2022. http://dx.doi.org/10.1115/1.4055021.

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Abstract The transient dynamics of air flow running through the moving intake valve gaps in combustion cylinders is crucial to the performance of SIDI engines. However, research on the air flow behavior in the vicinity of valve exits is still limited. In this work, transient air flow characteristics of a custom-designed dual-valve system under the operating conditions of a fixed valve lift and a vibrating valve lift at two frequencies are experimentally investigated. The velocity vector field measured using planar particle image velocimetry (PIV) is first analyzed in time domain based on tempo
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32

Cao, Jian, Peng Wang, and Yingzheng Liu. "Influence of dual purging jets on interferometric measurement of optical path difference." Physics of Fluids 36, no. 1 (2024). http://dx.doi.org/10.1063/5.0182342.

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Incompressible large eddy simulations of dual purging jets at three Reynolds numbers of ReL = 1500, 1000, and 500 are performed, providing the database for simulated interferometric measurements subjected to the spatiotemporally varying temperature fields. The temperature is modeled as a passive scalar, and the index-of-refraction field is calculated from the air temperature and pressure using the modified Edlén equation. Based on wave optics, wavefront distortions of laser beams traversing the flow field are computed, and the optical path difference measurement is simulated. Statistical resul
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33

Ito, Sosuke. "Geometric thermodynamics for the Fokker–Planck equation: stochastic thermodynamic links between information geometry and optimal transport." Information Geometry, March 9, 2023. http://dx.doi.org/10.1007/s41884-023-00102-3.

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AbstractWe propose a geometric theory of non-equilibrium thermodynamics, namely geometric thermodynamics, using our recent developments of differential-geometric aspects of entropy production rate in non-equilibrium thermodynamics. By revisiting our recent results on geometrical aspects of entropy production rate in stochastic thermodynamics for the Fokker–Planck equation, we introduce a geometric framework of non-equilibrium thermodynamics in terms of information geometry and optimal transport theory. We show that the proposed geometric framework is useful for obtaining several non-equilibriu
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34

Awasthi, M., S. McCreton, D. J. Moreau, and C. J. Doolan. "Coherent oscillations and acoustic waves in a supersonic cylinder wake." Journal of Fluid Mechanics 1012 (June 9, 2025). https://doi.org/10.1017/jfm.2025.10190.

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The supersonic wake of a circular cylinder in Mach 3 flow was studied through spectral proper orthogonal decomposition (SPOD) of high-speed focussing schlieren datasets. A wavenumber decomposition of the SPOD eigenvectors was found to be an effective tool for isolating imaging artefacts from the flow features, resulting in a clearer interpretation of the SPOD modes. The cylinder wake consists of both symmetric and antisymmetric instabilities, with the former being the dominant type. The free shear layers that form after the flow separates from the cylinder surface radiate strong Mach waves tha
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35

Veiga-Piñeiro, Gonzalo, Pablo Dominguez, Enrique Aldao, et al. "Physics-aware wind surrogate model for UAV aerodynamic response assessment." International Journal of Numerical Methods for Heat & Fluid Flow, March 17, 2025. https://doi.org/10.1108/hff-11-2024-0857.

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Purpose This study aims to use dimensionality reduction techniques applied to a detailed wind flow computational fluid dynamics (CFD)-generated database to develop a fast numerical tool that predicts, using the available weather forecast data, the airflow around any urban environment. The tool is aimed for its use in path planning design and optimization of unmanned aerial vehicles (UAVs) in urban mobility. Design/methodology/approach A complex urban site is selected as an example of vertiport. Geospatial data and land models are used to automate the CFD computational domain, mesh generation a
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36

Lian, Jie, Xu Yuan, Jiadong Lou, Li Chen, Hao Wang, and Nianfeng Tzeng. "Room-Scale Location Trace Tracking via Continuous Acoustic Waves." ACM Transactions on Sensor Networks, February 20, 2024. http://dx.doi.org/10.1145/3649136.

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The increasing prevalence of smart devices spurs the development of emerging indoor localization technologies for supporting diverse personalized applications at home. Given marked drawbacks of popular chirp signal-based approaches, we aim to develop a novel device-free localization system via the continuous wave of the inaudible frequency. To achieve this goal, solutions are developed for fine-grained analyses, able to precisely locate moving human traces in the room-scale environment. In particular, a smart speaker is controlled to emit continuous waves at inaudible 20 kHz , with a co-locate
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37

Dekker, Hasse N. J., Woutijn J. Baars, Fulvio Scarano, Marthijn Tuinstra, and Daniele Ragni. "Unsteady flow behaviour of multi-rotors in ground proximity." Flow 3 (2023). http://dx.doi.org/10.1017/flo.2023.21.

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The unsteady flow behaviour of two side-by-side rotors in ground proximity is experimentally investigated. The rotors induce a velocity distribution interacting with the ground causing the radial expansion of the rotor wakes. In between the rotors, an interaction of the two wakes takes place, resulting in an upward flow similar to a fountain. Two types of flow topologies are examined and correspond to two different stand-off heights between the rotors and the ground: the first one where the height of the fountain remains below the rotor disks, and a second one where it emerges above, being re-
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38

Singh, Prashant, Saikat Santra, and Anupam Kundu. "Extremal statistics of a one dimensional run and tumble particle with an absorbing wall." Journal of Physics A: Mathematical and Theoretical, November 11, 2022. http://dx.doi.org/10.1088/1751-8121/aca230.

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Abstract We study the extreme value statistics of a run and tumble particle (RTP) in one dimension till its first passage to the origin starting from the position $x_0~(>0)$. This model has recently drawn a lot of interest due to its biological application in modelling the motion of certain species of bacteria. Herein, we analytically study the exact time-dependent propagators for a single RTP in a finite interval with absorbing conditions at its two ends. By exploiting a path decomposition technique, we use these propagators appropriately to compute the joint distribution $\mathscr{P}(M,t_
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39

Keylock, C. J., and M. Carbone. "Complex network approach to turbulent velocity gradient dynamics: High- and low-probability Lagrangian paths." Physical Review Fluids 10, no. 5 (2025). https://doi.org/10.1103/physrevfluids.10.054606.

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Understanding the dynamics of the turbulent velocity gradient tensor (VGT) is essential to gain insights into the Navier-Stokes equations and improve small-scale turbulence modeling. However, characterizing the VGT dynamics conditional on all its relevant invariants in a continuous fashion is extremely difficult. Hence, in this paper, we represent the Lagrangian dynamics using a network where each node represents a unique flow state in the space of the invariants of the VGT. The sign and relative magnitude ranking of the invariants resulting from a Schur decomposition of the VGT determines the
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40

Pandey, Ruchi, Mudit K. Srivastava, Arijit Maiti, et al. "Spectroscopic and Photometric Insights into the Early Evolution of Nova V6594 Sgr." Monthly Notices of the Royal Astronomical Society, June 9, 2025. https://doi.org/10.1093/mnras/staf933.

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Abstract We present multi-epoch optical photometric and spectroscopic observations of the nova V6594 Sgr, discovered in outburst on 2021 March 25.29 ut. The light curve analysis reveals the characteristics of a fast nova, with decline timescales of t2 = 25 days and t3 = 39 days. A moderate reddening value of E(B − V) = 0.36 ± 0.04 is estimated. A progenitor is identified in archival surveys with an effective temperature of approximately 7200 K. Dust formation is observed around 40-45 days post-outburst. On day 178 following the outburst, the dust temperature is estimated to be around Tdust ∼ 7
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41

Sailellah, Sardila Nurulhikmah, and Yo Fukushima. "Comparison of tropospheric delay correction methods for InSAR analysis using a mesoscale meteorological model: a case study from Japan." Earth, Planets and Space 75, no. 1 (2023). http://dx.doi.org/10.1186/s40623-023-01773-z.

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AbstractA major source of error in interferometric synthetic aperture radar (InSAR), used for mapping ground deformation, is the delay caused by changes in the propagation velocity of radar microwaves in the troposphere. Correcting this tropospheric delay noise using numerical weather models is common because of their global availability. Various correction methods and tools exist; selecting the most appropriate one by considering weather models, delay models, and delay calculation algorithms is essential for specific applications. We compared the performance of two tropospheric delay correcti
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Ren, Feng, Chenglei Wang, Jian Song, and Hui Tang. "Deep reinforcement learning finds a new strategy for vortex-induced vibration control." Journal of Fluid Mechanics 990 (July 10, 2024). http://dx.doi.org/10.1017/jfm.2024.503.

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As a promising machine learning method for active flow control (AFC), deep reinforcement learning (DRL) has been successfully applied in various scenarios, such as the drag reduction for stationary cylinders under both laminar and weakly turbulent conditions. However, current applications of DRL in AFC still suffer from drawbacks including excessive sensor usage, unclear search paths and insufficient robustness tests. In this study, we aim to tackle these issues by applying DRL-guided self-rotation to suppress the vortex-induced vibration (VIV) of a circular cylinder under the lock-in conditio
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Balmes, Etienne, Guillaume Martin, and Guillaume Vermot des Roches. "Squeal occurrence classification using a harmonic balance vector signal model." Journal of Structural Dynamics, 2025. https://doi.org/10.25518/2684-6500.260.

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Brake squeal is an instability that generates self-excited limit cycles which vary with time and operating conditions in real experiments. To analyze test results, it is proposed to use a Harmonic Balance Vector (HBV) signal model. It combines Harmonic Balance Method and analytic signal methodologies. From the Harmonic Balance Method, one uses the space-time decomposition where spatial distribution of each harmonic is described by a complex vector and frequency is common to all sensors. From analytic signal, one keeps the assumption that quantities are slowly varying in time. Synchronous demod
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