Retraction Note: Mechanical properties of basin loess based on image recognition and aerobic exercise data monitoring of athletes

Abstract

Image recognition technology is an important part of machine vision applications. In the process of image recognition, the perception mechanism must exclude the input redundant information and extract important information. Loess is rich in calcium carbonate, and its particles are mainly composed of silt soil with obvious pores between soil particles. Loess in the basin is characterized by high water content, easy collapse, easy collapse, and strong permeability. Loess is very vulnerable to the influence of water, which greatly reduces the support of loess. Most of the quality problems of loess foundation-related projects in the basin are caused by insufficient support. In this paper, the loess in the watershed is selected as the investigation object. Firstly, in order to investigate the change of mechanical properties of loess, freezing thawing cycle, alternation of drying and wetting, and non-direct shear and compaction tests were carried out under these combined effects. Then, combined with the numerical simulation software geo-studio, the effects of temperature field, infiltration field, freezing and melting cycle, and wetting and drying alternation on the slope stability were simulated. Aerobic exercise is helpful to maintain the physiological health of the subjects; the results show that aerobic exercise with small intensity, moderate intensity, and medium intensity has a positive effect on the inhibition and conversion function of athletes’ brain; aerobic exercise of three intensities can promote the development of brain refresh function; the results show that aerobic exercise of small plus medium intensity and small plus intensity has a positive effect on the brain activation of switching and inhibition function when athletes complete cognitive tasks. Based on the image recognition technology, this paper discusses the mechanical properties of loess in the basin and studies the monitoring of aerobic exercise data of athletes.