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In order to solve the problem of the lubrication failure of bearing in Control Moment Gyroscope, this paper designs a kind of bearing lubricating device based on piezoelectric micro-jet theory. The lubricating oil is ejected by the device and then act on the bearing depend on the pressure waves which generated by piezoelectric vibrator. The piezoelectric vibrator is assembled by a piezoelectric ceramic...
Automatically recognizing pornographic images from the Web is a vital step to purify Internet environment. Inspired by the rapid developments of deep learning models, we present a deep architecture of convolutional neural network (CNN) for high accuracy pornographic image recognition. The proposed architecture is built upon existing CNNs which accepts input images of different sizes and incorporates...
In order to analysis the fluid-structure coupling acoustic properties of a designed piezoelectric micro-jet which is worked at slapping mode, the inside acoustic situation created by the vibration of vibrator is analyzed in this paper depend on the finite element software ANSYS Workbench. The effect of the properties of the liquid and shell to the ejection performance of the micro-jet is analyzed...
Superpixels are an oversegmentation of an image and popularly used as a preprocessing in many computer vision applications. Many state-of-the-art superpixel segmentation algorithms rely either on minimizing special energy functions or on clustering pixels in the effective distance space. While in this paper, we introduce a novel algorithm to produce superpixels based on the edge map by utilizing a...
In real-time anomaly detection problems, reducing the dimensionality and improving recognition rate are two most crucial problems. The unbalanced data distribution is one of main reasons of leading to low recognition rate. In this paper, a hybrid approach using Tabu search (TS) and ensemble classification algorithm is proposed. Tabu search is simultaneously applied to select features and weights of...
A novel traffic indication symbol detection and recognition method is introduced in this paper. We firstly apply color detection and shape detection on the real-time image to locate and extract the symbol region. Then the traffic indication sign is matched and recognized by using shape context. Experimental result demonstrates the proposed algorithm has good performance on recognition and more robustness...
Distance estimation is fundamental for many functionalities of wireless sensor networks and has been studied intensively in recent years. A critical challenge in distance estimation is handling anisotropic problems in sensor networks. Compared with isotropic networks, anisotropic networks are more intractable in that their properties vary according to the directions of measurement. Anisotropic properties...
There are many complicated data in real world, clustering analysis should be able to find the clusters of different shapes and densities. The existing typical clustering algorithms do not perform well on multi-density data. A semi-supervised clustering algorithm for multi-density dataset SCMD is proposed. The pairwise constraints: must-link and cannot-link that reflect the distribution of multi-density...
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