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Rolling bearing's running state has an important influence on the health condition of rotate machinery. This work focuses on the remaining useful life prediction of the rolling bearing. An auxiliary particle filter-based predictor for rolling bearing is presented. The energy spectrum feature of vibration signal is selected as the representation of system degraded states. The wavelet packet decomposition...
A new type of End-to-End system for text-dependent speaker verification is presented in this paper. Previously, using the phonetic discriminate/speaker discriminate DNN as a feature extractor for speaker verification has shown promising results. The extracted frame-level (bottleneck, posterior or d-vector) features are equally weighted and aggregated to compute an utterance-level speaker representation...
We deduce the expression of the laser range profile according to the laser radar equation, and get the one-dimensional range profile of a frustum of a cone, an ellipsoid and a rotating parabolic convex. And then, we put forward another method named Surface Elements Imaging Method, which can be used in arbitrary targets. Meanwhile, the one-dimensional and three-dimensional range profiles of a satellite...
This paper presents a solution for AR based product information displaying with virtual 3D model inserted into real world scene. In particular we developed an AR system based on markless tracking which can deal with different illumination conditions during the tracking stage, partial occlusions and wide view angle. Through FAST algorithm the AR system can real-time detect corner on image. In order...
The expression of Gabor wavelet filter is provided, it is explored in detail. In according to actual demand, a new multichannel filter based Gabor wavelet is designed based on theory and practicality. Its center frequency is the range from low frequency to high frequency, its orientation is 6 and scale is 6. It can extract the feature of low quality facial expression image target, and have good robust...
Based on Discovery Feature Sub-space Model (DFSSM), this paper proposes a new web text clustering algorithm which characterizes self-stability and powerful antinoise ability. The definitions of cluster and distance measures in the concept space being given. It can distinguishes the most meaningful features from the Concept Space without the evaluation function. The application in the modern long-distance...
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