Path planning is an important part of the unmanned aerial vehicle (UAV) to realize its autonomous capabilities. Aiming at the shortcomings of the traditional ant colony algorithm-based trajectory planning method, which has slow convergence speed and easy to fall into the local optimum, a path planning method based on the improved ant colony algorithm is proposed. First, a dynamic adjusting factor is added into the heuristic function to improve the directivity of path selection and search speed. Then, the state transition strategy is improved to solve the problem of slow convergence in the initial stage and easy to fall into local optimum in the later stage. Finally, the path inflection point is smoothly optimized through the cubic B-spline curve. Simulation results show that the improved ant colony algorithm can quickly converge to the optimal path and well adapt to the flight requirements of multirotor UAV.

As an important new force in information warfare, the UAV swarm has attracted more and more attention from militarists and scholars of various countries. At present, large-scale and low-cost UAV swarms have been gradually applied to reconnaissance operations. The invulnerability and elasticity of its communication network are the key factors that determine whether the swarm can successfully complete the reconnaissance mission. The research object of this study is the UAV swarm communication network, which performs reconnaissance missions. The swarm network is extracted as a three-layer interdependent network model. We apply scale-free network theory and the new connection probability equation to establish three subnetworks. Then, a three-layer interdependent network is constructed by using the interlayer connection rules of the nodes with the largest degree. The classical M-L model is extended to an interdependent network. An interlayer load redistribution rule is proposed to simulate the cascading failure process of swarm networks. Then, we attack network nodes randomly and observe the invulnerability and elasticity of this network. The simulation results show that the performance of the interdependent network is better than that of the single-layer network due to the effect of the interdependent links. By analyzing the experimental results, some feasible suggestions are put forward to improve the invulnerability and elasticity of reconnaissance UAV swarm communication network.

The material transportation capacity under emergency conditions is an important guarantee for the country to deal with war, epidemic outbreak, and other crisis situations. Under emergency conditions, some nodes of the material transportation system may fail to work normally, which may lead to the collapse of the whole system. Based on analyzing the characteristics of the material emergency transportation system, this article builds a three-layer interdependent network model and uses the improved M-L model to describe the failure propagation mechanism of node damage in the three-layer network. Then, the network model is attacked randomly, and the relationship between invulnerability of the three-layer network and the three main indexes of network flow, average degree, and probability of interdependence are studied. Afterwards, the propagation of cascading failure among three subnetworks in the interdependent network is analyzed and compared. This article provides a theoretical basis for building an efficient and robust material emergency transportation system.

Based on the data analysis of the questionnaire, this paper finds the main problems of management teaching in military academy. We established Kano model to design the questionnaire, and analyzed the questionnaire results. The study found that there are some main problems in teaching, such as the lack of teaching pertinence, the lack of teaching depth, the lack of rich classroom organization forms, and the insignificant role of ideological education. We differentiate learners at different levels and integrate resources by using internal and external integration, command and technology integration and military civilian integration modes. Furthermore, this paper adopts the classroom innovation means of "interactive participation, game fun, immersion experience and curriculum ideology and politics", and puts forward the teaching mode of "two stages", "three aspects integration" and "four methods". The above methods can effectively improve the teaching effect of management course.

In the curriculum system of higher education, practice courses play an indispensable role, and are the transfer application platform and functional structure supplement of the knowledge learned in theoretical courses. However, practical courses often have special requirements for teaching conditions and teacher-student interaction, and there are many inconveniences in online development. How to make good use of online resources to give practical lessons has become a prominent problem for online teachers. This article starts with student engagement and analyzes the necessity of carrying out online practical teaching. Taking the undergraduate course “Principles of Economics” as an example, it studies the impact of student engagement on practical teaching and discusses how to improve online practical teaching. The practical method of teaching effect has certain reference value for the efficient development of online practical teaching.