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As the important power equipment in the mechanical system, fault diagnosis for asynchronous motor is helpful to monitor working status and prevent failure causing unnecessary loss. In the fault diagnosis domain, feature extraction is the key step which is related to the performance of diagnosis results. For the asynchronous motor, the motor current signature analysis (MCSA) is one of the most powerful...
Object detection is a significant step of intelligent video surveillance. The existing methods achieve the goals by technically designing or learning special features and detection models. Conversely, we propose a method to simulate the mechanism of memory and prediction in our brain. Firstly, a fix-sized window is slid on a static image to generate sequences. Then, a convolutional neural network...
In order to complete the task of vehicle's autonomous driving in structural road, it's necessary to detect obstacles. This paper proposed a method of obstacle detection, taking use of the four-line laser radar. This algorithm combined the improved DBSCAN with K-Means and overcame DBSCAN's defect that it couldn't divide obstacles with similar density. At the same time, this method can eliminate noise...
Based on the research of layered semantic cognition, a new method of malicious code detection is proposed. With the ability of anti-aliasing, it can quickly identify the malicious code in the unknown program. Obtaining behavioral data via virtualizing the capture environment, implementing the hierarchical cognitive through abstracting layer by layer, and lastly, the method uses the Bayesian classifier...
Complex system exists extensively in modern process manufacturing industry. One major problem of its fault diagnosis is how to extract the inner partial relationship, with which we can model the fault performance and then identify the faults. In this paper, based on Generalized Linear Model (GLM), an improved CCA algorithm (GLCCA) is proposed to extract both the linear and nonlinear relationship in...
According to the characters of openness, modularization and interface of the NC control SINUMERIK 840D on machine tools, we use MPI, DDE to communicate/data-exchange with SINUMERIK 840D. And a data acquisition system for circular tests on NC machine tools is designed and developed. Based on ISO 230-4-2005 standard for circular tests, some evaluation parameters of circular tests is introduced. And...
Although polarization and spectral information utilization has been received great attention with the sensor and detection technology advance, few results are showed to jointly utilize both of this information in targets classification. Polarization and spectral information reveals two different aspects of one single target, and therefore, if both of information is properly used, good performance...
Case retrieval is an important part of case-based reasoning system. According to the idea of ant colony algorithm, the paper performs clustering to case base, and on this basis, in accordance with the idea of k-means algorithm, designs a case retrieval algorithm. Then the paper analyzes the organization method based on heterogeneous case, focuses on the clustering algorithm of case and the retrieval...
The eyes are the most important facial landmarks on human face, for both human computer communication and face normalization. It is crucial to detect and locate the eyes accurately. This paper introduces a novel and simple method for eye localization. Based on the special gray lever distribution in the eye region, the spectral residual model is exploited to extract the rough eye region primarily....
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