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A research approach of crack detection of rotating shafts based on acoustic emission (AE) signals and machine learning is proposed in this paper. The relationship between crack intensity and domain features are investigated, and the features which could well indicate the crack condition are selected for modelling and crack prediction. Multiple Linear Regression (MLR), Artificial Neural Networks (ANN)...
This paper provides a summary of the IEEE C37.238-2011 standard, which specifies a subset of PTP parameters and options to provide global time availability, device interoperability, and failure management. This set of PTP parameters and options allows IEEE 1588-based time synchronization to be used in mission critical power system protection, control, automation, and data communication applications...
Full end-to-end text recognition in natural images is a challenging problem that has received much attention recently. Traditional systems in this area have relied on elaborate models incorporating carefully hand-engineered features or large amounts of prior knowledge. In this paper, we take a different route and combine the representational power of large, multilayer neural networks together with...
Recently, a new concept of rotation scanning synthetic aperture interferometric radiometer (RS-SAIR) has been receiving more and more attentions for its advantage of much simpler configuration with looser requirements of antenna elements. In this article, we investigate the imaging theory of RS-SAIR, and introduce the pseudo-polar FFT algorithm to deal with the polar u-v samples. It only involves...
In this paper, a particle swarm optimization (PSO) based camera calibration approach is presented to determine the external and internal calibration parameters from the knowledge of a given set of points in object space. First, the image formation model for a pinhole camera is formulated in terms of a feed-forward neural network (NN) and then this neural network is trained using particle swarm optimization...
Current land use and cover (LUC) mapping is often made using high resolution images such as those from the Landsat TM/ETM+, SPOT, IKONOS, QuickBird sensors etc. However, the historical LUC information was often extracted from the earlier Landsat MSS images. Resultant land cover classification accuracy is often unsatisfactory for quantitative change analysis due to the limited number of spectral bands...
This paper studies the performance of the data selection with a combined task analysis method in task adaptation on Mandarin isolated word recognition. The proposed task analysis method combines coverage unit balanced task analysis with the confusability based analysis. The performance is evaluated with several experiments.
In this paper, we perform gender classification based on 2.5D facial surface normals (facial needle-maps), and present two novel principal geodesic analysis (PGA) methods, weighted PGA and supervised PGA, to parameterize the facial needle-maps, and compare their performances with PGA for gender classification. Experimental results demonstrate the feasibility of gender classification based on facial...
This paper studies the performance of different task analysis methods for data selection in task adaptation on Mandarin isolated word recognition. Two key issues are investigated including 1) the type of the coverage units; 2) the method to generate the distribution of the acoustic units (coverage units) by task analysis. For the first issue, three coverage units namely word, syllable and right-context-initial/toned-final...
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