Tan sheep is an important industry in Ningxia province, China, and plays a very important role in local agriculture and animal husbandry.However, most of the existing Tan sheep feeding methods relies on human power, which has deficiencies in the efficiency and effectiveness of the operation. To solve the above problems, the navigation system based on RTK and machine vision is designed for Tan sheep intelligent feeding cart, with ultrasonic sensor for collision avoidance. Compared with the existing Tan sheep feeding methods, this research greatly reduces the need for human and material resources, and makes up for the inaccuracy of RTK navigation in bad weather conditions through machine visual navigation. This study has important reference value for similar intelligent navigation feeding cart.
This study presents a new method for super-resolution of depth images by combining fractional calculus and inverse distance interpolation. The method improves edge recognition through fractional differential and solves the problem of missing data in traditional super-resolution algorithms for depth images. Results show that the proposed method outperforms classical interpolation algorithms, with improved PSNR by 3-10dB. The method effectively solves the impact of depth image edge distance on interpolation results, and provides more texture information.
This paper investigates the dynamic electric vehicle routing problem with electric vehicles (DVRP-E). In the DVRP-E, customer demands may emerge stochastically throughout the operational horizon. Moreover, as electric vehicle (EV) batteries remain a key limiting factor for EVs, EVs must return to the depot before batteries run down. An adaptive large neighborhood search algorithm is proposed for its solution, and computational tests are presented to demonstrate its effectiveness and accuracy. The ALNS algorithm has proved itself an effective tool to solve the DVRP-E with up to 1000 customers according to our computational test.
This paper establishes a delayed SIR malicious virus propagation model in mobile wireless sensor networks (MWSNs). Since these nodes are mobile, we introduce diffusion effect into the model. With time delay as the bifurcation parameter, the local stability of the positive equilibrium point and the existence of Hopf bifurcation are analyzed. We find that when the time delay exceeds the critical value, the system will lose stability and Hopf bifurcation will occur. Eventually, the correctness of the main results is illustrated by numerical simulations.
This article investigates the couple-group secure consensus and detection of heterogeneous multi-agent systems (HMASs) with cooperative-competitive relation and deception attacks. According to cooperative-competitive relation, a new couple-group secure consensus protocol is designed. By applying the graph theory, linear algebra theory, probability theory and Getschgorin theorem, several results have been given to ensure the success of the couple-group secure consensus for this system. Based on these obtained results and T-test, a novel detection algorithm has been put forward to determine the security nodes or not. Several examples have been given to prove the effectiveness of these obtained results and the improved secure detection algorithm.
