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 work aims to define a model for the relation between the Received Signal Strength Indicator (RSSI) of an Wireless Sensors Network (WSN) and the occupation rate of an indoor ambient. Experimental tests were carried out to identify this model that is able to provide the number of people (occupancy rate) in this ambient as a function of the RSSI variance. The tests were based on the installation of an WSN in a classroom, allowing to collect data related to RSSI variation, considering a point-to-point network. As a conclusion, it was possible to identify a relationship between these variables that determines the ambient occupancy rate.

Average Room Occupancy Rate and its relation with Received Signal Strength Indicator in Wireless Sensors Networks