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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Topological event detection allows for the distributed computation ofhomology by focusing on local changes occurring in a network over time. In thispaper, a model for the monitoring of topological events in dynamically changingregions will be developed. Regions are approximated as the connected componentsof the communication graph of a sensor network, reducing homology computationto graph homology. Betti number differences together with cyclic neighbor-ringsare used to categorize topological event types. The focus lies on the correctdetection of non-incremental (i.e., multiple concurrently occurring) events andthe necessary region update process. Network number differences between anetwork's state before and after events are spread from event nodes intonetwork regions, allowing for the conflict-free updating of regions independentof the update messages' order of arrival.

Distributed Monitoring of Topological Events via Homology