Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Leslie Overs"'
Autor:
Nicolas Hudson, Fletcher Talbot, Mark Cox, Jason Williams, Thomas Hines, Alex Pitt, Brett Wood, Dennis Frousheger, Katrina Lo Surdo, Thomas Molnar, Ryan Steindl, Matt Wildie, Inkyu Sa, Navinda Kottege, Kazys Stepanas, Emili Hernandez, Gavin Catt, William Docherty, Brendan Tidd, Benjamin Tam, Simon Murrell, Mitchell Bessell, Lauren Hanson, Lachlan Tychsen-Smith, Hajime Suzuki, Leslie Overs, Farid Kendoul, Glenn Wagner, Duncan Palmer, Peter Milani, Matthew O’Brien, Shu Jiang, Shengkang Chen, Ronald Arkin
Heterogeneous teams of robots, leveraging a balance between autonomy and human interaction, bring powerful capabilities to the problem of exploring dangerous, unstructured subterranean environments. Here we describe the solution developed by Team CSI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::843d8167c881cdc45bfc4a8aa23a805f
http://arxiv.org/abs/2104.09053
http://arxiv.org/abs/2104.09053
Autor:
Kourosh Kalantar-zadeh, Philip Valencia, André-Denis G. Wright, Christopher S. McSweeney, Leslie Overs, David Paull, G. J. Bishop-Hurley
Publikováno v:
Animal Production Science. 56:204
An intra-rumen (IR) gas-sensing system incorporating commercially available gas sensors [methane (CH4), carbon dioxide (CO2) and hydrogen (H2)] and a wireless sensor network was developed to measure rumen gas concentrations of grazing animals in real
Publikováno v:
IPSN
We describe our current work towards a framework that establishes a hierarchy of devices (sensors and actuators) within a wireless multimedia node and uses frequent sampling of cheaper devices to trigger the activation of more energy-hungry devices.
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642002236
EWSN
EWSN
We describe the design and implementation of a public-key platform, secFleck, based on a commodity Trusted Platform Module (TPM) chip that extends the capability of a standard node. Unlike previous software public-key implementations this approach pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48a157a5aed99a3db35e62514bedbc9d
https://doi.org/10.1007/978-3-642-00224-3_19
https://doi.org/10.1007/978-3-642-00224-3_19
Publikováno v:
SenSys
Communication security for wireless sensor networks (WSN) is a challenge due to the limited computation and energy resources available at nodes. We describe the design and implementation of a public-key (PK) platform based on a standard Trusted Platf
Publikováno v:
LCN
This paper investigates a wireless sensor network deployment - monitoring water quality, e.g. salinity and the level of the underground water table - in a remote tropical area of northern Australia. Our goal is to collect real time water quality meas
Publikováno v:
ResearcherID
This paper presents the design of the Fleck platform for building real-world outdoor sensor networks. Fleck1 and Fleck2 have been successfully deployed in several long-term outdoor sensor networks. The Fleck3 is the latest member of the platform. The
Autor:
Peter Corke, P. Chen, Pavan Sikka, Keith Kotay, Daniela Rus, Iuliu Vasilescu, Leslie Overs, Matthew Dunbabin
Publikováno v:
The Second IEEE Workshop on Embedded Networked Sensors, 2005. EmNetS-II..
While sensor networks have now become very popular on land, the underwater environment still poses some difficult problems. Communication is one of the difficult challenges under water. There are two options: optical and acoustic. We have designed an
Publikováno v:
Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks (LCN’04)
LCN
LCN
This paper describes some new wireless sensor hardware developed for pastoral and environmental applications. From our early experiments with Mote hardware we were inspired to develop our devices with improved radio range, solar power capability, mec
Publikováno v:
Animal Production Science. 54:1796
Wireless sensor networks (WSN) offer a novel method for measuring important livestock phenotypes in commercial grazing environments. This information can then be used to inform genetic parameter estimation and improve precision livestock management.