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CAPTCHA is a new kind of network security mechanism. Studying the recognition of CAPTCHA can help to discover its hidden defects and thus make it more secure. For closely-connected CAPTCHAs that can hardly be recognized by methods of state of art, this paper proposed a new recognition algorithm based on holistic verification. During the process of this algorithm, Recurrent Neural Network (RNN) was...
In the 21st century, knowledge innovation is becoming the main purpose of sustainable development of enterprise, as far as employee which is the main body of knowledge innovation is concerned, its innovative efficacy is closely related to organizational culture, institutional structure, self-demand and the current situation of knowledge. This report takes this as a view point to make an ESEK motivational...
Chongqing is a Chinese comprehensive experimental zone of balanced urban and rural development. In Chongqing's e-government construction, they should stick to the principles of balanced urban and rural development, strengthen infrastructure construction, increase the training of civil servants and technical innovation, and improve the relevant system and management mechanisms to promote the development...
Driver's distraction in driving is one of the major causes of the traffic accidents. The abnormal behavior of the driver's head movement and the facial expressions were studied in detail in order to get the characteristics of the inattention status. With real-time monitoring on the driver's attention characteristics: the position and movement status information of eyes and mouth, the detection mechanisms...
Considering that traditional BP wavelet neural network (BPWNN) is easy to take local convergence and has slowly learning convergent velocity. We apply a method based on adaptive learning rate to optimize it in accelerating the learning convergent velocity. In prediction, firstly, denoised the traffic time series with wavelet packet transform to improve the prediction precision, then compared the ability...
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