2 research outputs found
Research On Trajectory Planning Control of Industrial Manipulator Based on ALO Algorithm
No full text
Aiming at the shortcomings of the ant lion optimization algorithm (ALO) in industrial manipulator trajectory planning, such as long path length, time-consuming rotation time, and uneven path, an improved ALO (IALO) is proposed. Firstly, the population is initialized by cubic chaotic mapping to improve the quality of ant lion population. Secondly, the trust region mutation is used to improve the location update mode of ant lion population and balance the global search ability and local mining ability. Finally, the Gaussian mutation disturbance strategy is used to improve the location update mode of ant lion population and enhance the ability of the algorithm to jump out of local optimization. Taking trajectory length, rotation time, and redundancy rate as indicators, compared with the ABC algorithm and classic ALO, this algorithm has a shorter path length and less rotation time
Assessment of fine-resolution land cover mapping products in the Changbai Mountain Range, China
No full textLand cover data are essential for modelling land surface processes in mountainous regions. Fine-resolution land cover products have provided unprecedented spatial detail of the land surface. The performance of land cover classification can be affected by various causes, propagating uncertainty through modelling. In this study, six openly accessible fine-resolution land cover data products for 2020, namely GlobeLand30, CLCD, GLC_FCS30, Esri land cover, WorldCover, and DynamicWorld, were cross-compared for consistency and accuracy in the Changbai Mountain Range. The study particularly highlighted the consistency and accuracy across various geomorphic types. The findings reveal that all the six data products exhibit an overall similarity in spatial patterns dominated by cropland and forest. Validation using a ground reference dataset revealed that WorldCover and GlobeLand30 provide the highest and lowest accuracy, respectively. Cropland and forest present considerable spatial consistencies among the data products and advanced accuracies. The middle-mountain regions with low landscape diversity and fragmentation showed the highest consistency and accuracy. Data products, however, are difficult to represent the distribution of grassland, wetland, and bare ground categories reliably due to limited consistency and accuracy. This study provides quantitative analysis for selecting appropriate land cover data products towards application implementations
