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The objective of this study was to design and produce highly comfortable shoe products guided by a plantar pressure imaging data-set. Previous studies have focused on the geometric measurement on the size of the plantar, while in this research a plantar pressure optical imaging data-set based classification technology has been developed. In this paper, an improved local binary pattern (LBP) algorithm is used to extract texture-based features and recognize patterns from the data-set. A calculating model of plantar pressure imaging feature area is established subsequently. The data-set is classified by a neural network to guide the generation of various shoe-last surfaces. Firstly, the local binary mode is improved to adapt to the pressure imaging data-set, and the texture-based feature calculation is fully used to accurately generate the feature point set; hereafter, the plantar pressure imaging feature point set is then used to guide the design of last free surface forming. In the presented experiments of plantar imaging, multi-dimensional texture-based features and improved LBP features have been found by a convolution neural network (CNN), and compared with a 21-input-3-output two-layer perceptual neural network. Three feet types are investigated in the experiment, being flatfoot (F) referring to the lack of a normal arch, or arch collapse, Talipes Equinovarus (TE), being the front part of the foot is adduction, calcaneus varus, plantar flexion, or Achilles tendon contracture and Normal (N). This research has achieved an 82% accuracy rate with 10 hidden-layers CNN of rotation invariance LBP (RI-LBP) algorithm using 21 texture-based features by comparing other deep learning methods presented in the literature.

A 2-DOF dynamics model of vibration isolation in vibratory piling is built up. Based above, the optimization model of parameters of vibration isolation is derived. Then, the parameters of vibration isolation are solved by complex method. Finally, the optimal result is compared with that by experience.

With the respect to the special environment of dyke emergency, this paper is focused on the kinematics analysis, pace programming of the walking machine of the piling platform. Firstly, the general design of the walking machine of the piling platform is designed, and its kinematics solution is analysed. Based above, the pace programming of the walking machine is studied. The horizontal pace is researched. According to the pace drawing, every leg's swing sequence in different walking direction is presented.