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This paper introduced the working principle that energy harvester based on MSMA(Magnetically Controlled Shape Memory Alloys). At the same time, a new management circuit in regard to flyback transformer-power and MSMA energy harvester was put forward, which analyzed the characteristics of the electric energy for the release of instantaneous circuit, which influence the change of voltage input and the...
A method of measuring the preceding vehicle distance based on trilinear method is proposed in the paper. According to the theory and method of the computer vision, three mutually non-coincident parallel lines have same vanishing point and different slopes on imaging plane. Without iteration and optimization calculation, an analytic expression of the external parameters of a camera??vanishing point...
In this paper, we use evolutionary game theory to build an evolutionary game model for peer inter-enterprise and analyze the evolutionary process and evolutionary stable strategy of implementing defensive competitive intelligence. It shows that when the costs of collecting and protecting invested by the peer inter-enterprises less than the costs of benefits competed by two sides, the long-run equilibrium...
Environment sociology pays attention to the study about the relationship of situational factors and environment behavior all the time. Based on the definition of situational factors, environment behavior and their scale dimensions, this study explores the influence of situational factors to environment behavior in the theory research and demonstration research. The result shows situational factors...
The precision of machine vision calibration is affected by those factors such as the loss of depth information, distortion of camera lens, and errors caused by image processing. In this paper machine vision system is developed by means of BP neural network with self- learning. There are 4 inputs, which are the image coordinates of a match point in left and right camera, and 3 outputs in the network...
Because of the loss of depth information, distortion of lens and so on, all make the camera model nonlinear. RBF neural networks which can approximate any non-linear function are adopted to describe relations between 3-D feature points and corresponding image point in left and right cameras. While the network is trained, sum of squared differences between outputs of network and actual coordinates...
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