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In order to realize autonomous landing of the unmanned aerial vehicle (UAV) in power patrolling, a visual method vision based on Faster Regions with Convolutional Neural Network (Faster R-CNN) for UAVs is studied. In this paper, we design the landing sign of the combination of concentric circles and pentagon, and propose the Faster R-CNN recognition algorithm which can be used to identify the target...
Large scale systems often generate a large number of transient signals when disturbances occur, so it is important to grasp the overall response of the system and identify distinct response. This paper presents an idea that utilizes Geometric Template Matching and QT clustering to grasp the similar response in order to reduce the volume of data needed analysis and to detect outliers. Finally, results...
Acoustic Emission signal reflecting the tool wear state is made by phase space reconstruction that uses mutual information method and Cao method to determine time delay and embedding dimension for constructing phase space matrix. After reconstruction, by calculating singular spectral of phase space matrix, based on which characteristic vector is constructed. These characteristic vectors are combined...
Nowadays, Google Earth is very popular in the world. Lots of people are interested in this software. The purpose of this paper is to explore the method of road extraction in high resolution urban images from Google Earth. There are several basic characteristics of roads, if more characteristics are used for the road extraction, good results can be achieved. In this paper, watershed dual-thresholds...
This paper presents a micropipette aspiration system and a cell contour visual tracking algorithm for realtime, high-accuracy mechanical characterization of individual cells. The computer vision tracking algorithm measures cell deformation parameters in real time (30Hz) with a resolution down to 0.21 pixel, significantly enhancing the accuracy and efficiency of the micropipette aspiration technique...
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