Face anti-spoofing is a relatively important part of the face recognition system,which has great significance for financial payment and access control systems.Aiming at the problems of unstable face alignment,complex ...Face anti-spoofing is a relatively important part of the face recognition system,which has great significance for financial payment and access control systems.Aiming at the problems of unstable face alignment,complex lighting,and complex structure of face anti-spoofing detection network,a novel method is presented using a combination of convolutional neural network and brightness equalization.Firstly,multi-task convolutional neural network(MTCNN)based on the cascade of three convolutional neural networks(CNNs),P-net,R-net,and O-net are used to achieve accurate positioning of the face,and the detected face bounding box is cropped by a specified multiple,then brightness equalization is adopted to perform brightness compensation on different brightness areas of the face image.Finally,data features are extracted and classification is given by utilizing a 12-layer convolution neural network.Experiments of the proposed algorithm were carried out on CASIA-FASD.The results show that the classification accuracy is relatively high,and the half total error rate(HTER)reaches 1.02%.展开更多
The negative externalities of businesses brought serious social and environmental problems. Based on externality theory and game theory, the author in-depth analyzes intrinsic motivation of corporate social responsibi...The negative externalities of businesses brought serious social and environmental problems. Based on externality theory and game theory, the author in-depth analyzes intrinsic motivation of corporate social responsibility, and points out that corporate social responsibility will increase production costs, so companies will not take the initiative to raise the level of social responsibility. Through the analysis of corporate social responsibility profits, the paper reveals that if the government lack reasonable system to regulate corporate behavior, then the In＇m, pursuiting maximizing profit, will choose the Nash equilibrium ofconsumpting public resources, and not take the initiative to fulfill their social responsibility to seek the Pareto equilibrium of the whole regional optimal, which results in high output and low returns. The research finds that the government should strengthen the publicity of corporate social responsibility, privatization of corporate social responsibility benefits and establishment of corporate social responsibility system and other means to guide and standardize the corporate social responsihility.展开更多
We present a dynamical model of two-dimensional polydisperse granular gases with fractal size distribution, in which the disks are subject to inelastic mutual collisions and driven by standard white noise. The inhomog...We present a dynamical model of two-dimensional polydisperse granular gases with fractal size distribution, in which the disks are subject to inelastic mutual collisions and driven by standard white noise. The inhomogeneity of the disk size distribution can be measured by a fractal dimension df. By Monte Carlo simulations, we have mainly investigated the effect of the inhomogeneity on the statistical properties of the system in the same inelasticity case. Some novel results are found that the average energy of the system decays exponentially with a tendency to achieve a stable asymptotic value, and the system finally reaches a nonequilibrium steady state after a long evolution time. Furthermore, the inhomogeneity has great influence on the steady-state statistical properties. With the increase of the fractal dimension df, the distributions of path lengths and free times between collisions deviate more obviously from expected theoretical forms for elastic spheres and have an overpopulation of short distances and time bins. The collision rate increases with df, but it is independent of time. Meanwhile, the velocity distribution deviates more strongly from the Gaussian one, but does not demonstrate any apparent universal behavior.展开更多
基金Project(61671204)supported by National Natural Science Foundation of ChinaProject(2016WK2001)supported by Hunan Provincial Key R&D Plan,China。
文摘Face anti-spoofing is a relatively important part of the face recognition system,which has great significance for financial payment and access control systems.Aiming at the problems of unstable face alignment,complex lighting,and complex structure of face anti-spoofing detection network,a novel method is presented using a combination of convolutional neural network and brightness equalization.Firstly,multi-task convolutional neural network(MTCNN)based on the cascade of three convolutional neural networks(CNNs),P-net,R-net,and O-net are used to achieve accurate positioning of the face,and the detected face bounding box is cropped by a specified multiple,then brightness equalization is adopted to perform brightness compensation on different brightness areas of the face image.Finally,data features are extracted and classification is given by utilizing a 12-layer convolution neural network.Experiments of the proposed algorithm were carried out on CASIA-FASD.The results show that the classification accuracy is relatively high,and the half total error rate(HTER)reaches 1.02%.
文摘The negative externalities of businesses brought serious social and environmental problems. Based on externality theory and game theory, the author in-depth analyzes intrinsic motivation of corporate social responsibility, and points out that corporate social responsibility will increase production costs, so companies will not take the initiative to raise the level of social responsibility. Through the analysis of corporate social responsibility profits, the paper reveals that if the government lack reasonable system to regulate corporate behavior, then the In＇m, pursuiting maximizing profit, will choose the Nash equilibrium ofconsumpting public resources, and not take the initiative to fulfill their social responsibility to seek the Pareto equilibrium of the whole regional optimal, which results in high output and low returns. The research finds that the government should strengthen the publicity of corporate social responsibility, privatization of corporate social responsibility benefits and establishment of corporate social responsibility system and other means to guide and standardize the corporate social responsihility.
基金The project supported by National Natural Science Foundation of China under Grant No.10675048the Natural Science Foundation of Education Department of Hubei Province of China under Grant Nos.D200628002 and kz0627
文摘We present a dynamical model of two-dimensional polydisperse granular gases with fractal size distribution, in which the disks are subject to inelastic mutual collisions and driven by standard white noise. The inhomogeneity of the disk size distribution can be measured by a fractal dimension df. By Monte Carlo simulations, we have mainly investigated the effect of the inhomogeneity on the statistical properties of the system in the same inelasticity case. Some novel results are found that the average energy of the system decays exponentially with a tendency to achieve a stable asymptotic value, and the system finally reaches a nonequilibrium steady state after a long evolution time. Furthermore, the inhomogeneity has great influence on the steady-state statistical properties. With the increase of the fractal dimension df, the distributions of path lengths and free times between collisions deviate more obviously from expected theoretical forms for elastic spheres and have an overpopulation of short distances and time bins. The collision rate increases with df, but it is independent of time. Meanwhile, the velocity distribution deviates more strongly from the Gaussian one, but does not demonstrate any apparent universal behavior.
