The sizes of individual data files have steadily increased along with rising demand for customized services, leading to issues such as low efficiency of web-based geographical information system -based data compression, transmission, and rendering for rich Internet applications in complicated visualization systems. In this article, a WebGIS-based technical solution for the efficient transmission and visualization of meteorological big data is proposed. Based on open-source technology such as HTML5 and Mapbox GL, the proposed scheme considers distributed data compression and transmission on (...) the server side as well as distributed requests and page rendering on the browser side. A high-low 8-bit compression method is developed for compressing a 100 megabyte file into a megabyte-scale file, with a compression ratio of approximately 90%, and the recovered data are accurate to two decimal places. Another part of the scheme combines pyramid tile cutting, concurrent domain name request processing, and texture rendering. Experimental results indicate that with this scheme, grid files of up to 100 MB can be transferred and displayed in milliseconds, and multiterminal service applications can be supported by building a grid data visualization mode for big data and technology centers, which may serve as a reference for other industries. (shrink)

Resolving the challenge of flight delays caused by air traffic congestion renders it necessary to explore the mode of congestion propagation. By applying complex network theory, this article establishes a complex network structure where airspace sectors act as nodes, and the edges represent traffic flow relationships between sectors. In addition, a cascading failure model is proposed to analyze the airspace sector network’s invulnerability. The critical threshold and the sector abnormality rate are determined according to the cascading failure measurement indexes. Based (...) on the remaining capacity of sector nodes, two optimization strategies are proposed: adjacent load redistribution strategy and local load redistribution strategy. The simulation results demonstrate that the local load redistribution strategy greatly improves the airspace sector network’s invulnerability to cascading failure. (shrink)

This paper investigates the substation inspection problems of multimobile robots for large power stations in smart microgrids. Most multirobot inspection robots generally face the challenge of path planning, while the current widely used biological excitation neural network methods often have the defect of the neuronal active field near boundaries and obstacles. To end this, we propose an improved biological excitation neural network method for path planning based on a detailed architecture and ontology framework, through which the single-point inspection, multipoint inspection, (...) and full-area inspection tasks of substations in smart microgrids can be well completed. Simulation results show that the designed IBENN-based multirobot collaboration inspection system can effectively shorten the path as well as the number of turns and then show better performance than most existing results when implementing various substation inspection tasks. (shrink)

Previous research demonstrates the critical role moral disengagement plays in unethical decision-making. This study investigates the relationships among moral endorsement, shareholder-value orientation, moral disengagement, and moral judgment on issues of different moral intensities. The results of a scenario-based survey conducted in China confirm the negative (positive) impact of moral disengagement (moral intensity) on moral judgment. The findings reveal that both moral endorsement and shareholder-value orientation of decision-makers significantly influence moral judgment and that moral intensity moderates the relationships between moral endorsement (...) and moral judgment, and between shareholder-value orientation and moral disengagement. The study’s theoretical contributions, managerial implications, and limitations are discussed. (shrink)