Balancing local and global security leitmotifs: Counter-terrorism and the spectacle of sporting mega-events

This article considers the transferability of sporting mega-event strategies across time and place. In doing so, it presents a number of arguments highlighting the progressive global standardization of sporting mega-event counter-terrorism strategies comprising continually reproduced security leitmotifs. Such orthodoxies are drawn from a range of experiences at both sporting and non-sporting mega-events. By contrast to these globalized models, the terrorist threats they seek to counter are almost always rooted in diverse local settings. This convergence of sporting mega-event counter-terrorism strategies does not simply represent an uncritical imposition of an external framework of security, however. Instead, this article identifies and interrogates how sporting mega-event security planning is also tempered by a range of localized processes, including vernacular cultures of security and the scale of extant security infrastructures.

Application of BP Neural Network to Extract AE Characteristic Parameters of the Crack in the Drawing Parts

Using BP Neural Network to optimize AE characteristic parameters of crack in drawing parts.By detecting the optimized characteristic parameters of crack, the crack in drawing parts are identified.According to the quality of drawing parts,the output of the network are crack signal and normal signal.Comparing the sensitivity of the input characteristic parameters on the output characteristic parameters,then pick the characteristic parameters which have bigger sensitivity values.Finally,the AE characteristic parameters such as Rise Time、AE Event Counter、Energy、Amplitude、Frequency Centroid can represent the signal of crack in the drawing parts better.These five characteristic parameters can identify the crack signal in the forming process of the drawing parts.