Abstract: A prestressed fish-belly reaction frame, a pile foundation bearing capacity detection device and application thereof, which includes: a core junction; a reaction beam including a plurality of beam units symmetrically arranged around the core junction with the core junction as a center, each beam unit has a first end and a second end, the first end is connected and fixed to the core junction, and the second end is connected and fixed to a pile top of an anchor pile when the pile foundation bearing capacity is detected; a prestressed assembly including a plurality of prestressed tendons, each prestressed tendon passes through an upper end of the core junction, a first end of each prestressed tendon is connected and fixed to the second end of one beam unit, a second end thereof is connected and fixed to the second end of the symmetrical beam unit.

Abstract: Provided are a method and a device for offline identity authentication. The method includes: acquiring two or more images for identity authentication to constitute a to-be-authenticated multivariate image group; extracting a concatenated PCA convolution feature of each of the images in the to-be-authenticated multivariate image group, to obtain feature vectors; fusing information on the images in the to-be-authenticated multivariate image group based on the feature vectors according to a score fusion strategy with a supervisory signal, to obtain a fusion vector; and inputting the fusion vector to a pre-trained SVM classifier to authenticate and determine whether the images in the to-be-authenticated multivariate image group are consistent with one another, to obtain an identity authentication result.

Abstract: Provided are a method and a device for offline identity authentication. The method includes: acquiring two or more images for identity authentication to constitute a to-be-authenticated multivariate image group; extracting a concatenated PCA convolution feature of each of the images in the to-be-authenticated multivariate image group, to obtain feature vectors; fusing information on the images in the to-be-authenticated multivariate image group based on the feature vectors according to a score fusion strategy with a supervisory signal, to obtain a fusion vector; and inputting the fusion vector to a pre-trained SVM classifier to authenticate and determine whether the images in the to-be-authenticated multivariate image group are consistent with one another, to obtain an identity authentication result.