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Nguyen Huy Hoang Huy

dblp:170/2574 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 50% Wireless sensing and localization · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization
capacitive sensing
0.212015
Demo: Real-time Detection for Multiple Occupancy and Near Real-time Hogging Detection · SenSys 2015
Internet of things and sensor networks › iot applications
smart environments
0.212015
Demo: Real-time Detection for Multiple Occupancy and Near Real-time Hogging Detection · SenSys 2015

Methods — techniques the papers use, named apart from their topics

capacitive sensing · 0.2
YearPublicationVenuePosition
2015 Demo: Real-time Detection for Multiple Occupancy and Near Real-time Hogging Detection
abstract
In the public studying space, students sometimes hog seats. This behavior prevents others from access their needed seats, and requires man power to patrol and move stuffs from hogged seats to another place. In this paper, we present a capacitive sensor to check seat occupancy statuses in real-time (i.e. un-occupied, people occupying, and seat hogging). The device helps students to find available seats, and helps staffs to monitor seats usage remotely for better controlling over seat hogging problem without the need to patrol. Our experiment results show that the sensor can accurately detect seat occupancy. Moreover, it can clearly distinguish between human occupancy and seat hogging.
Nguyen Huy Hoang Huy, Rajesh Krishna Balan, Youngki Lee 0001
SenSys1