EDBT 2026 Demo / reviewers in the wild / expert
James Youngquist
dblp:151/0194
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
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 · 56% Wireless sensing and localization · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks
battery-free sensing |
0.2 | 1 | 2015 | Self-localizing battery-free cameras · UbiComp 2015 |
Wireless sensing and localization › device localization
self-localization |
0.2 | 1 | 2015 | Self-localizing battery-free cameras · UbiComp 2015 |
Internet of things and sensor networks › RFID systems
RFID sensor networks |
0.1 | 1 | 2015 | Self-localizing battery-free cameras · UbiComp 2015 |
Methods — techniques the papers use, named apart from their topics
RF energy harvesting · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Self-localizing battery-free camerasabstractRFID sensor networks perpetually stream sensor data without batteries. Cameras are power hungry but provide richer information than conventional sensor network nodes. Battery-free, RF-powered camera sensor nodes combine many of the attractive features of RFID sensor networks with those of cameras. However, prior battery-free cameras have no notion of 3D location, which is desirable for creating large scale networks of battery free cameras. Saman Naderiparizi, James Youngquist, Alanson P. Sample, Joshua R. Smith 0001 |
UbiComp | 3 |