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Sensors, Vol. 23, Pages 267: Improving Fingerprint-Based Positioning by Using IEEE 802.11mc FTM/RTT Observables
ola Received signal strength (RSS) has been one of the most used observables for location purposes due to its availability at almost every wireless device. However, the volatile nature of RSS tends to yield to non-reliable location solutions. IEEE 802.11mc enabled the use of the round trip time (RTT) for positioning, which is expected to be a more consistent observable for location purposes. This approach has been gaining support from several companies such as Google, which introduced that feature in the Android O.S. As a result, RTT estimation is now available in several recent off-the-shelf devices, opening a wide ra...
Source: Sensors - December 27, 2022 Category: Biotechnology Authors: Israel Martin-Escalona Enrica Zola Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6176: Nature-Inspired Search Method and Custom Waste Object Detection and Classification Model for Smart Waste Bin
l Freeman Waste management is one of the challenges facing countries globally, leading to the need for innovative ways to design and operationalize smart waste bins for effective waste collection and management. The inability of extant waste bins to facilitate sorting of solid waste at the point of collection and the attendant impact on waste management process is the motivation for this study. The South African University of Technology (SAUoT) is used as a case study because solid waste management is an aspect where SAUoT is exerting an impact by leveraging emerging technologies. In this article, a convolutional neura...
Source: Sensors - August 18, 2022 Category: Biotechnology Authors: Israel Edem Agbehadji Abdultaofeek Abayomi Khac-Hoai Nam Bui Richard C. Millham Emmanuel Freeman Tags: Article Source Type: research