Semi-supervised semantic segmentation has witnessed remarkable advancements in recent years. However, existing algorithms are based on convolutional neural networks, and directly applying them to Vision Transformers p...
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We propose a hybrid quantum-classical method,the quantum-enriched large eddy simulation(QELES),for simulating *** QELES combines the large-scale motion of the large eddy simulation(LES)and the subgrid motion of the in...
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We propose a hybrid quantum-classical method,the quantum-enriched large eddy simulation(QELES),for simulating *** QELES combines the large-scale motion of the large eddy simulation(LES)and the subgrid motion of the incompressible Schrodinger flow(ISF).The ISF is a possible way to be simulated on a quantum computer,and it generates subgrid scale turbu-lent structures to enrich the LES *** enriched LES field can be further used in turbulent combustion and multi-phase flows in which the subgrid scale motion plays an important *** a conceptual study,we perform the simulations of ISF and LES separately on a classical computer to simulate decaying homogeneous isotropic ***,the QEI ES velocity is obtained by the time matching and the spectral blending *** QEL ES achieves significant improvement in predicting the energy spectrum,probaility density functions of velocity and vorticity components,and velocity structure functions,and reconstructs coherent small-scales vortices in the direct numerical simulation(DNS).On the other hand,the vortices in the QELES are less elongated and tangled than those in the DNS,and the magnitude of the third-order structure function in the QELES is less than that in the DNS,due to the diferent constitutive relations in the viscous flow and ISE.
A pull-off force Fc is required to separate two objects in adhesive contact. For a rigid sphere on an elastic slab, the classic Johnson–Kendall–Roberts (JKR) theory predicts Fc=[Formula presented]πγRs, where γ re...
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This paper investigates the distributed Kalman filter (DKF) for linear systems, with specific attention on measurement fusion, which is a typical way of information sharing and is vital for enhancing stability and imp...
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This paper focuses on an adaptive fixed-time tracking control problem for nonstrict-feedback stochastic nonlinear systems with unknown control coefficients and output constraints. To overcome this problem, this articl...
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This paper addresses the finite-time consensus (FTC) issue for second-order multi-agent systems (MASs) with nonlinear disturbances. To tackle the challenges posed by increasingly complex communication environments, an...
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One of the key problems in 3D object detection is to reduce the accuracy gap between methods based on LiDAR sensors and those based on monocular cameras. A recent monocular-based 3D object detection method using Pseud...
One of the key problems in 3D object detection is to reduce the accuracy gap between methods based on LiDAR sensors and those based on monocular cameras. A recent monocular-based 3D object detection method using Pseudo-Stereo representation has demonstrated significant capabilities. However, three problems have been discovered in existing practices: (1) relying on a high-performance monocular depth estimator, (2) the generated image suffering from visual holes, deformations, and artifacts, and (3) being difficult to be compatible with geometry-based stereo detectors. In this work, we propose a novel pseudo-stereo 3D detection framework without depth estimation, called PS-SVDM. This framework utilizes a diffusion model to generate a high-quality virtual right view from a left image to mimic the stereo camera signal. With this representation, we can apply various existing stereo image-based detection algorithms. Afterwards, we further explore the application of PS-SVDM in depth-free stereo 3D detection, and the final framework is compatible with most stereo detectors. Experiments conducted on the KITTI-3D Car category show that our method can achieve state-of the-art performance among published monocular 3D detectors. Code will be released.
Different sensors may experience degeneracy in specific scenarios, which can lead to failures in multi-sensor fusion optimization. To address the challenges of localization and mapping under such degeneracy conditions...
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For back electromotive force-based sensorless control in permanent magnet synchronous motor (PMSM) drives, the conventional phase-locked loop (PLL) exhibits a ±π position estimation error during speed reversal. ...
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