Network has not only become a habit and lifestyle for university student, but also brought all sorts of ethical misconducts and ethical issues in society. Based on the analysis of college students＇ frustrations, this...Network has not only become a habit and lifestyle for university student, but also brought all sorts of ethical misconducts and ethical issues in society. Based on the analysis of college students＇ frustrations, this paper explores the causes of network behavior anomie for college students, which mainly include： dissatisfaction in real communication, game addiction to the network, craving online pornography, and hooking on online shopping. In addition, it also investigates the ways to wipe out mental frustration in such a cyber era. These ways mainly are to strenzthen online education and management, to make psychological counseling, and to carry on frustration education.展开更多
Aiming at the problem of automatic detection of normal operation behavior in self-service business management,with improved motion history image as input,a recognition method of convolutional neural network is propose...Aiming at the problem of automatic detection of normal operation behavior in self-service business management,with improved motion history image as input,a recognition method of convolutional neural network is proposed to timely judge the occurrence of anomie behavior.Firstly,the key frame sequence was extracted from the self-service operation video based on the method of uniform energy down-sampling.Secondly,combined with the timing information of key frames to adaptively estimate the decay parameters of the motion history image,adding information contrast to generating a logic matrix can improve the calculation speed of the improved motion history image.Finally,the formed motion history image was input into the established convolutional neural network to obtain the class of self-service behavior and distinguish anomie behavior.In real scenarios of self-service baggage check-in for civil aviation passengers,the typical check-in behavior data set is established and tested in actual self-service baggage check-in system of the airport.The results show that the method proposed can effectively identify typical anomie behaviors and has high practical value.展开更多
文摘Network has not only become a habit and lifestyle for university student, but also brought all sorts of ethical misconducts and ethical issues in society. Based on the analysis of college students＇ frustrations, this paper explores the causes of network behavior anomie for college students, which mainly include： dissatisfaction in real communication, game addiction to the network, craving online pornography, and hooking on online shopping. In addition, it also investigates the ways to wipe out mental frustration in such a cyber era. These ways mainly are to strenzthen online education and management, to make psychological counseling, and to carry on frustration education.
文摘Aiming at the problem of automatic detection of normal operation behavior in self-service business management,with improved motion history image as input,a recognition method of convolutional neural network is proposed to timely judge the occurrence of anomie behavior.Firstly,the key frame sequence was extracted from the self-service operation video based on the method of uniform energy down-sampling.Secondly,combined with the timing information of key frames to adaptively estimate the decay parameters of the motion history image,adding information contrast to generating a logic matrix can improve the calculation speed of the improved motion history image.Finally,the formed motion history image was input into the established convolutional neural network to obtain the class of self-service behavior and distinguish anomie behavior.In real scenarios of self-service baggage check-in for civil aviation passengers,the typical check-in behavior data set is established and tested in actual self-service baggage check-in system of the airport.The results show that the method proposed can effectively identify typical anomie behaviors and has high practical value.
