Research on the Distance of the Active Sonar under the Effects of the Thermocline

The existence of thermocline changes the acoustic structure and effects the direction of the stared rays. This paper analyzes the working processs of the active sorer, and the mathematical models. The detection probaility of the active sonar under thenmoline is studied. First, the detection distance without thermocline is estimat- ed, then the effect of thermocline＇s depth and sound velocity changes on detecting submarine probability are discussed, and based on this, the effects of the sea condition on searching submarine probability is discussed, lastly the distance of active sonar is calculatod under thermocline. The results indicate that tufter thennocline, the distance of the active sonar becomes obvious short, and with the sea condition becoming rough, the effect is more dear.

People Flow Monitoring Based on Deep Learning

According to the application scenarios of the size of the humanflow in different consumption places,to solve the problem of crowd detection,distance estimation between crowds and the inability to monitor and calculate the humanflow in real time,this paper designs a real-time crowd detection scheme for appli-cation scenarios where consumers pay attention to the size of the humanflow in consumption places.The main use of the YOLO algorithm with the Darknet53 net-work as the main network is to separate pedestrians from the background.Pedes-trians’central two-dimensional coordinates are converted into three-dimensional coordinates,realizing crowd detection and apart from the distance estimation of crowds,real-time monitoring of current regional traffic andflow density,and solv-ing the problem of being unable to monitor and calculate people in real time.It can be applied to many aspects,such as shop rating,traffic control andflow control of scenic spots.Existing monitors are affected by different lights and cannot provide accurate data.In addition,the processing algorithm of this scheme is stable and accurate,and preprocessing is performed before judging the humanflow and the position of the human body to reduce the interference of light.This scheme has the performance of real-time monitoring and calculation through experimental verification.

An Improved Underwater Confrontation Simulation Method of Naval Amphibious Operational Training System

This paper described an improved underwater confrontation simulation method of naval amphibious operational training system. The initial position of submarine forces on the enemy is generated automatically, and the attacking distance model of torpedoes is established based on the kinematics theory, which is more flexible and reasonable to judge the launch condition compared to traditional method. The two kinds of confrontation behavior models on the enemy submarine are created to depict its tactical action from the defensive to the offensive as well as the contrary, ensuring that operational style is simulated more comprehensively and properly. The existing motion trajectory estimation and collision detection algorithms on operational platforms are also improved to reduce the iteration error and further enhance the detection accuracy of target hit.