With the rapid development of electronic technology, accurately identifying the incipient faults of analog circuits has become an important measure to improve the reliability and safety of electronic equipment. In rec...
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Recent advances in event camera research emphasize processing data in its original sparse form, which allows the use of its unique features such as high temporal resolution, high dynamic range, low latency, and resist...
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Leveraging the untapped potential of depth information in RGB-D images, this study introduces a deep neural network classifier for advanced body shape classification. Going beyond traditional RGB image analysis, our m...
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This paper considers the backstepping state feedback and observer design for hyperbolic and parabolic PDEs, which are bidirectionally interconnected in a general coupling structure. Both PDE subsystems consist of coup...
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The algorithm of the discrete extended Kalman filter as part of the relay-vector control system was developed for the purpose of identifying the speed and vector of flux coupling of the rotor an asynchronous machine. ...
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In this paper, we consider nonconvex optimization problems with nonlinear equality constraints. We assume that the objective function and the functional constraints are locally smooth. To solve this problem, we introd...
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Recently, there have been some attempts of Transformer in 3D point cloud classification. In order to reduce computations, most existing methods focus on local spatial attention,but ignore their content and fail to est...
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Recently, there have been some attempts of Transformer in 3D point cloud classification. In order to reduce computations, most existing methods focus on local spatial attention,but ignore their content and fail to establish relationships between distant but relevant points. To overcome the limitation of local spatial attention, we propose a point content-based Transformer architecture, called PointConT for short. It exploits the locality of points in the feature space(content-based), which clusters the sampled points with similar features into the same class and computes the self-attention within each class, thus enabling an effective trade-off between capturing long-range dependencies and computational complexity. We further introduce an inception feature aggregator for point cloud classification, which uses parallel structures to aggregate high-frequency and low-frequency information in each branch separately. Extensive experiments show that our PointConT model achieves a remarkable performance on point cloud shape classification. Especially, our method exhibits 90.3% Top-1 accuracy on the hardest setting of ScanObjectN N. Source code of this paper is available at https://***/yahuiliu99/PointC onT.
Peristaltic pumps are used for transporting liquids within disposable tubes, and are commonly found in medical devices. The peristaltic pump principle, however, introduces disturbances, thereby distorting the desired ...
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The paper solves the problem of controlling a cargo UAV with a flexible elongated cargo. Construction of inhomogeneous flexible link mathematical model based on Euler-Bernoulli equation issues are considered. A univer...
The paper solves the problem of controlling a cargo UAV with a flexible elongated cargo. Construction of inhomogeneous flexible link mathematical model based on Euler-Bernoulli equation issues are considered. A universal algorithm for determining the parameters of an elastic system and compiling its mathematical model is presented. A convenient method for the analytical determination of eigenmodes of vibrations of an inhomogeneous structure is used. Vibrations model was built using the method of initial parameters, which discretizes the diagrams of mass distribution and bending stiffness. The equations of system dynamics are obtained using the Euler-Lagrange equations. The control system, which provides fast response with minimal link fluctuations, is designed using LQR and LMI methods. It is shown that the LMI method allows you to directly limit the control action and set the required characteristics of the system in a more intuitive way. The results are confirmed by computer simulation. It is proposed to use an observer to obtain strain coordinates without measurement.
The use of simulation modeling of production activities to improve the effectiveness of management decisions allows to evaluate the quality of the decision made on the model, as well as a means of training employees. ...
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