English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Continuous cutting of sponge samples is a key technique for efficient cutting with sponge ring cutters. However, existing methods are not suitable for complex-shaped and large quantities of sponge samples. To address this issue, this paper proposes a S-shaped Sequencing Algorithm Based on Region Segmentation. Firstly, the algorithm separates the sample set into multiple molecular regions using the inflexion point samples. Then, global and local sorting are performed on each molecular region to determine the optimized search sequence. Next, entry and exit points are defined, and pre-generated processing paths for the samples within the region are created. Path collisions are identified and eliminated, resulting in the optimal cutting sequence for the samples within the molecular region. Experimental results demonstrate that this algorithm effectively reduces the empty travel distance and collision occurrences during the cutting process. Compared to manual methods, this algorithm can reduce the empty travel distance by 14-25%. In the next step, the algorithm will generate processing code to facilitate the practical application of the algorithm.

Optimization Cutting Trajectory for Ring Knife Sponge Cutting via S-shaped Sequencing Algorithm Based on Region Segmentation