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

—The focus of this work is on how the\udcongestion experienced on the GSM network can be\udminimized. The voice calls is broken into sub-classes of\udservices and a level of priority is established among the\udclasses so that the most urgent and important service will\udhave access to the channel by preempting the lower\udpriority services during congestion. The voice\udcommunications over the GSM network using the\uddifferent classes of subscribers were analyzed with\udMarkov chain’s model. The steady state probabilities for\udvoice services were derived. The blocking and dropping\udprobabilities models for the different services were\uddeveloped using the Multi-dimensional Erlang B. To\udgive a new call a fair sharing of the channel, TimeThreshold\udscheme is employed. This scheme classifies\udhandoff call as either prioritised call or new call\udaccording to its associated elapsed real time value. The\udmodels were implemented based on the blocking and\uddropping probabilities models to show how the\udcongestion can be minimised for different subscribers\udbased on their priority levels. The work shows that the\udmodels used gave significant reduction in congestion\udwhen compared to the traditional Erlang-B model used in\udGSM

Multi-Level Access Priority Channel Allocation with Time Threshold in Global System for Mobile Communications (GSM) Networks