This work aims to solve the problem that the daily necessities of urban residents cannot be delivered during coronavirus disease 2019 (COVID-19), thereby reducing the possibility of the delivery personnel contracting COVID-19 due to the need to transport medicines to the hospital during the epidemic. Firstly, this work studies the application and communication optimization technology of unmanned delivery cars based on deep learning (DL) under COVID-19. Secondly, a route planning method for unmanned delivery cars based on the DL method is proposed under the influence of factors such as maximum flight time, load, and road conditions. This work analyzes and introduces unmanned delivery cars from four aspects combined with the actual operation of unmanned delivery cars and related literature: the characteristics, delivery mode, economy, and limitations of unmanned delivery cars. The unmanned delivery car is in the promotion stage. A basic AVRPTW model is established that minimizes the total delivery cost without considering the charging behavior under the restriction of some routes, delivery time, load, and other factors. The path optimization problem of unmanned delivery cars in various situations is considered. A multiobjective optimization model of the unmanned delivery car in the charging/swap mode is established with the goal of minimizing the total delivery cost and maximizing customer satisfaction under the premise of meeting the car driving requirements. An improved genetic algorithm is designed to solve the established model. Finally, the model is tested, and its results are analyzed. The effectiveness of this route planning method is proved through case analysis. Customer satisfaction, delivery time, cost input, and other aspects have been greatly improved through the improvement and optimization of the unmanned delivery car line, which has been well applied in practice. In addition, unmanned delivery cars are affected by many factors such as load, and the service time required for delivery is longer. Therefore, this work chooses an unmanned distribution car with strong endurance to improve distribution efficiency. The new hospital contactless distribution mode discussed here will play an important role in promoting future development.
With the development of science and technology, human-computer interaction has attracted more and more attention from all walks of life. With the emergence and maturity of Mixed Reality (MR), new ways of interacting with this new technology are developing. From the study, research, to entertainment, production, marketing and other fields can find the development direction and interest needs of this new type of interaction.
At present, there are various algorithms for image tilt correction. However, there are some shortcomings and shortcomings in the current application of images acquired by handheld portable printers. The research in this paper is mainly aimed at the image acquired based on the handheld portable printer, which has the reason that the angle of the image acquisition angle is artificially manipulated or the image itself is tilted, which leads to the problem of tilting or see-through deformation. Other uncertain factors such as the light source during the shooting process result in low signal-to-noise ratio, low definition and low contrast, and the image is preprocessed first. The histogram equalization method is used to enhance the image, and the maximum inter-class variance is used to calculate the optimal threshold for binarization. The preprocessed image is subjected to image tilt correction based on projection analysis. The result proves that this method has high accuracy and adaptability to the image tilt correction of the printer.
With the current further exploration of the ocean by mankind, the shipbuilding industry is also receiving greater attention, and the shipbuilding industry needs to carry out deeper structural optimization and technological innovation. As the core of the ship, the ship power system is directly linked to the upper and lower limits of the entire ship. The pros and cons of the power system technology not only relates to the operation of the entire ship, but also directly affects the sustainability, reliability and stability of the ship. This article discusses and researches the ship power system at home and abroad, and analyzes the current development trend of the ship industry power system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.