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Image blurriness or definition is an important indicator to assess the quality of digital image. The objective no-reference image blur metric plays significant roles in the design and optimization of visual perception-based auto-focus systems as well as image acquisition, transmission, enhancement, restoration and compression algorithms. In this paper, we proposed a novel no-reference image blur metric...
With the rapid development of vehicular, communication and sensing technologies, intelligent transportation system(ITS) and vehicular network are widely used to improve the driving experience in the city. A key procedure of many applications in vehicular network is data gathering, a universal process to collect sensed data from sparse-distributed vehicles for further operations to provide services...
The three-dimensional objects recognition has been the focus of research in computer vision, in which the 3D scanning system as the data acquisition means is the priority of research among priorities. In 3D scanning system, how to calculate the laser stripe center will directly affect the accuracy of three-dimensional reconstruction. By analyzing the distribution of the laser stripe images and drawing...
The control of dish-like underwater robot motion is complex. It involves many kinds of influencing factors and it's also a nonlinear process. The model of attitude motion control is very important for the accuracy control and self adapting predictive control. For establishing the attitude motion model and predicting the attitude, SVM algorithm was used to construct a MIMO identifier in this paper...
The estimation of oscillation modes is important to the monitoring and damping of low frequency oscillation in power system. Ambient data caused by low level stochastic disturbances can be used to identify the low frequency oscillation properties. In this paper, the autoregressive moving averaging(ARMA) method is used to analyze the ambient data. As a key step in the ARMA method, the selection of...
In this paper, by constructing an appropriate Lyapunov functional, sufficient criteria independent of the delays for global exponential stability of the network are derived. The algebra criteria are applicable for other neural network models. This results are less conservative and restrictive than previously known results and can be easily verified. And the result has overcome the obvious drawback...
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