Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Greg Timms"'
Publikováno v:
Sensors, Vol 15, Iss 12, Pp 29765-29781 (2015)
This work proposes the design of Environmental Sensor Networks (ESN) through balancing robustness and redundancy. An Evolutionary Algorithm (EA) is employed to find the optimal placement of sensor nodes in the Region of Interest (RoI). Data quality i
Externí odkaz:
https://doaj.org/article/aa79c8b5b1f14373a049543e38222685
Publikováno v:
Information Processing in Agriculture, Vol 1, Iss 1, Pp 42-50 (2014)
Shellfish farms are closed for harvest when microbial pollutants are present. Such pollutants are typically present in rainfall runoff from various land uses in catchments. Experts currently use a number of observable parameters (river flow, rainfall
Externí odkaz:
https://doaj.org/article/5b0668e8c88a4e6c953fbeaa07347363
Publikováno v:
Sensors, Vol 12, Iss 7, Pp 9476-9501 (2012)
Online automated quality assessment is critical to determine a sensor’s fitness for purpose in real-time applications. A Dynamic Bayesian Network (DBN) framework is proposed to produce probabilistic quality assessments and represent the uncertainty
Externí odkaz:
https://doaj.org/article/c59752f62f1848fab6bda3435ba9f468
Publikováno v:
Sensors, Vol 11, Iss 3, Pp 2885-2897 (2011)
We review existing query answering systems for sensor data. We then propose an extended query answering approach termed smart query, specifically for marine sensor data. The smart query answering system integrates pattern queries and continuous queri
Externí odkaz:
https://doaj.org/article/217ecd17da634ac2836658d1b6af2c71
Publikováno v:
Environmental Technology. 39:683-693
This paper presents an approach to the design of environmental sensor networks (ESN) which aims at providing a robust, fit-for-purpose network with minimum redundancy. A set of near optimum ESN designs is sought using an evolutionary algorithm, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a68aeff4b34351129c6acd7cad444115
https://doi.org/10.1080/09593330.2017.1310303
https://doi.org/10.1080/09593330.2017.1310303
Autor:
Greg Timms, Md. Sumon Shahriar, Andrew Davie, Greg Smith, Ashfaqur Rahman, Charlotte Sennersten, David Biggins, Andrew D. Hellicar, Craig Lindley, Mac Coombe
Publikováno v:
IEEE Sensors Journal. 16:4555-4565
For remote characterization of inaccessible underground mine voids, we are developing unmanned aerial vehicles (equipped with multiple sensors, including cameras) to fly into the mine voids to map their shape, condition, and most importantly, mineral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a5778b3906e4da664de5384cae12eca
https://doi.org/10.1109/jsen.2016.2546241
https://doi.org/10.1109/jsen.2016.2546241
Publikováno v:
Sensors, Vol 15, Iss 12, Pp 29765-29781 (2015)
Sensors
Volume 15
Issue 12
Pages 29765-29781
Sensors (Basel, Switzerland)
Sensors
Volume 15
Issue 12
Pages 29765-29781
Sensors (Basel, Switzerland)
This work proposes the design of Environmental Sensor Networks (ESN) through balancing robustness and redundancy. An Evolutionary Algorithm (EA) is employed to find the optimal placement of sensor nodes in the Region of Interest (RoI). Data quality i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b187238278e4fb23ae434d8e8d59c69b
http://www.mdpi.com/1424-8220/15/12/29765
http://www.mdpi.com/1424-8220/15/12/29765
Autor:
Greg Timms, David A. Henry, Daniel Smith, James Hills, Andrew D. Hellicar, Richard Rawnsley, Ritaban Dutta, Greg Bishop-Hurley
Publikováno v:
Expert Systems with Applications. 42:3774-3784
A new multi-scale time series classifier is proposed using class posterior estimates.The classifier infers a large set of animal behaviour using motion based time series.The proposed classifier outperforms benchmark classifiers by between 43% and 77%
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9ea0c993f485e77d467462dbfa7ad9f
https://doi.org/10.1016/j.eswa.2014.11.033
https://doi.org/10.1016/j.eswa.2014.11.033
Autor:
DA Henry, James Hills, Richard Rawnsley, Greg Timms, Greg Bishop-Hurley, Ritaban Dutta, Daniel Smith
Publikováno v:
Computers and Electronics in Agriculture. 111:18-28
Cattle behavioural classification using cattle tag and supervised ensemble classifiers.Unsupervised hybrid clustering used to study inherent natural grouping in data set.Best classification accuracy was 96% using the bagging ensemble with Tree learne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b6ac2044123982ca0cca455b335481b
https://doi.org/10.1016/j.compag.2014.12.002
https://doi.org/10.1016/j.compag.2014.12.002
Publikováno v:
Environmental monitoring and assessment. 190(3)
This paper proposes a method to design the deployment of sensor nodes in a new region where historical data is not available. A number of mobile platforms are simulated to build initial knowledge of the region. Further, an evolutionary algorithm is e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d0cad6bae54259a3798bf90576215b4
https://pubmed.ncbi.nlm.nih.gov/29427226
https://pubmed.ncbi.nlm.nih.gov/29427226