Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Anne Lacy

dblp:80/11189 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

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

Computer networks · 2

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
2 papers
Internet of things and sensor networks · 91% Cellular and mobile networks · 9%
Human-computer interaction and pervasive computing
1 paper
Ubiquitous computing and smart environments · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › wireless sensor network › target tracking
animal tracking
0.112012
Crane charades: behavior identification via backpack mounted sensor platforms · IPSN 2012
Internet of things and sensor networks › environmental sensing
wildlife monitoring
0.112012
Sensing through the continent: towards monitoring migratory birds using cellular sensor networks · IPSN 2012
Internet of things and sensor networks
wireless sensor network
0.112012
Crane charades: behavior identification via backpack mounted sensor platforms · IPSN 2012
Ubiquitous computing and smart environments › context recognition
human behavior recognition
0.012012
Crane charades: behavior identification via backpack mounted sensor platforms · IPSN 2012

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

on-board classification · 0.3energy harvesting · 0.1
YearPublicationVenuePosition
2012 Sensing through the continent: towards monitoring migratory birds using cellular sensor networks
abstract
This paper presents CraneTracker, a novel sensor platform for monitoring migratory birds. The platform is designed to monitor Whooping Cranes, an endangered species that conducts an annual migration of 4,000 km between southern Texas and north-central Canada. CraneTracker includes a rich set of sensors, a multi-modal radio, and power control circuitry for sustainable, continental-scale information delivery during migration. The need for large-scale connectivity motivates the use of cellular technology in low-cost sensor platforms augmented by a low-power transceiver for ad-hoc connectivity. This platform leads to a new class of cellular sensor networks (CSNs) for time-critical and mobile sensing applications. The CraneTracker is evaluated via field tests on Wild Turkeys, Siberian Cranes, and an on-going alpha deployment with wild Sandhill Cranes. Experimental evaluations demonstrate the potential of energy-harvesting CSNs for wildlife monitoring in large geographical areas, and reveal important insights into the movements and behaviors of migratory animals. In addition to benefiting ecological research, the developed platform is expected to extend the application domain of sensor networks and enable future research applications.
David J. Anthony, William P. Bennett, Mehmet Can Vuran, Matthew B. Dwyer, Sebastian G. Elbaum, Anne Lacy, Mike Engels, Walter Wehtje
IPSN6
2012 Crane charades: behavior identification via backpack mounted sensor platforms
abstract
The Whooping Crane is an endangered species native to North America and there are approximately 575 in existence. There have been recent efforts to provide ecologists with a tool to study the multifaceted behavior of the endangered species. Like many species, cranes display distinctly identifiable movements while being threatened, acting territorial, migrating, or preening. The preliminary experiments described in this poster provide evidence that sensor data presented by a novel sensing platform, the CraneTracker, can be used to identify crane behaviors on-board. With the ability to identify these behaviors, ecologists will have a more granular insight on what occurs during a crane's life on a daily basis.
William P. Bennett, Megan Fitzpatrick, David J. Anthony, Mehmet Can Vuran, Anne Lacy
IPSN5