Abstract: The invention discloses a multi-threshold segmentation method for medical images based on an improved salp swarm algorithm. A two-dimensional histogram is established by means of a grayscale image of a medical image and a non-local mean image, then a salp swarm algorithm is used to determine thresholds selected by a Kapur entropy-based threshold method, and the salp swarm algorithm is improved and mutated by an individual-linked mutation strategy during the threshold selection process to avoid local optimization, so that the segmentation effect on the medical image is optimized; and the method has the advantages of good robustness and high accuracy.

Abstract: Disclosed is a method for analyzing and predicting a main fracture orientation of a mining face based on microseismic monitoring, including: collecting microseismic data generated by a coal rock burst; carrying out a hierarchical clustering on the microseismic data to obtain target hypocenter groups, of which the target hypocenter groups comprise several types of hypocenters; acquiring focal mechanism solutions of all the target hypocenter groups in the target hypocenter group, and acquiring a hypocenter azimuth and a hypocenter dip based on the focal mechanism solutions; and carrying out the hierarchical clustering on a hypocenter location, the hypocenter azimuth and the hypocenter dip, and predicting the main fracture orientation of the mining face.

Abstract: A rock burst hazard prediction method based on vibration wave energy attenuation characteristics of a mine earthquake cluster is provided. The rock burst hazard prediction method comprehensively considers the static load and dynamic load effects of the vibration waves of the mine earthquake cluster based on vibration wave energy attenuation characteristics of the mine earthquake cluster. The static load strength index and the dynamic load strength index involved in the method have clear physical meanings. A comprehensive prediction index calculation model proposed based on the dynamic and static load superposition principle of rock burst occurrence is clear, and the method has a firm theoretical support as well as strong universality and operability. Meanwhile, the updating and adjustment of weights are rapid and the objective judgment and prediction of the final comprehensive prediction results are efficient, and the high-energy mine earthquake and impact behavior area can be effectively predicted.

Abstract: The present disclosure provides a wireless signal enhancement device. The wireless signal enhancement device includes: at least two wireless communication modules of different types used to receive corresponding wireless signal and transmit the wireless signal to a first processor; and the first processor coupled to the wireless communication module and used to receive and parse the wireless signal transmitted by the wireless communication module to obtain a parsing result; the wireless communication module receiving the wireless signal is further used to enhance the wireless signal.