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

This paper proposes a new heterogeneous multi-cast with network coding in lossy networks. Subgraphs are constructed to determine transmission routes of layered data. Network coding is utilized so that all destinations achieve the data rates which are equal to their max-flows. Layered data are then allocated to predetermined routes. The allocation algorithm considers decodable probabilities of layered data at all destinations resulted by linear network coding and lossy network. More important layered data is allocated to the route that has a better decodable probability. Evaluation results show that the proposed heterogeneous multi-cast algorithm outperforms other heterogeneous multi-cast algorithms without network coding or without considering the reliabilities of routing paths.

Multi-rate multi-cast using network coding in lossy networks