CARDyAL: Cooperative Aerodynamics and Radio-based DYnamic Animal Localisation
CARDyAL: Cooperative Aerodynamics and Radio-based DYnamic Animal Localisation
批准号:
EP/H017402/1
负责人:
Stephen Hailes
金额:
$53.88万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2010
资助国家:
英国
项目状态:
已结题
起止时间:
2010 至 --
中文摘要
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英文摘要
The primary scientific objectives of the CARDyAL project lie (i) in the challenges inherent in creating very lightweight sensing devices capable of accurate localisation; (ii) in the use of those devices in measuring the dynamically changing relative location of a cooperative group of animals in a range of different contexts for which GPS-based localisation techniques are inappropriate; (iii) relating that dynamic behaviour to scientific questions of cooperative fluid dynamics, energetics, and social biology using appropriate physiological data; and (iv) using the measured information about team organisation to inform a particle swarm optimisation model that will be used as a potential way of reducing energy consumption within and outside this application domain. The ability to make such measurements, and thus to undertake science in these areas, is currently very limited and the problem of achieving this is both challenging in research and engineering terms, and likely to be dependent on the environment for which the particular solutions are created. However, the applications for such technologies are numerous, varied and of significant scientific and strategic importance to the biological sciences community and to the public at large.The technology developed in this project is intended to be inherently transferrable: the hardware and software base for tags capable of relative localisation (a) indoors (b) in long-term deployments (c) in high dynamic environments has applications both to other animal models - understanding the dynamics of groups for purposes of conservation, ecology, welfare or epidemiology - and to the monitoring of humans for better facilities management, workplace design, emergency service and military use, amongst other things. The data reduction and analysis methodologies are applicable to a range of situations in which dynamic and social structure is important, and the relationship between true biological data and a derived PSO model is of substantial scientific interest, and of potential applicability to optimisation problems of many sorts, e.g. energy minimisation, in the computer graphics industry in terms of more accurately representing swarm movements, and in swarm robotics of various types, in path planning and control. In terms of the biology, the availability of this technology in a usable form factor allows research to be performed in a way that is not currently possible, and, consequently, allows the potential to ask scientific questions that are not currently capable of being answered.Thus CARDyAL involves research and engineering in the field of lightweight wireless sensing and wireless localisation that would lack specificity without the constraints and demands of a real application domain, and it involves research in the field of animal sciences that it would not be possible to conduct without the sensing devices and their associated algorithms. There are advances to be made in each of the fields that could not be made without the active engagement of the other and this co-dependency is innately both translational (high risk) and high reward since it is founded on a truly symbiotic programme of research in which neither of the constituent research fields dominates.
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Bias adjustment of spatially-distributed wireless pollution sensors for environmental studies in India
用于印度环境研究的空间分布式无线污染传感器的偏差调整
DOI:
10.1109/sahcn.2013.6645001
发表时间:
2013
期刊:
影响因子:
--
作者:
[Shum L]
通讯作者:
Shum L
Smooth operators
流畅的操作员
DOI:
--
发表时间:
2013
期刊:
Proceedings of the 30th International Conference on Machine Learning (ICML-13)
影响因子:
--
作者:
[Grunewalder S]
通讯作者:
Grunewalder S
Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis
DOI:
10.1007/s10994-012-5300-0
发表时间:
2012-06
期刊:
Machine Learning
影响因子:
7.5
作者:
[Wendelin Böhmer;S. Grünewälder;H. Nickisch;K. Obermayer]
通讯作者:
Wendelin Böhmer;S. Grünewälder;H. Nickisch;K. Obermayer
Parsimonious test of dynamic interaction.
动态交互的简约测试。
DOI:
10.1002/ece3.4805
发表时间:
2019
期刊:
Ecology and evolution
影响因子:
2.6
作者:
[Chisholm S]
通讯作者:
Chisholm S
DOI:
10.1371/journal.pone.0049120
发表时间:
2012
期刊:
PloS one
影响因子:
3.7
作者:
[Grünewälder S, Broekhuis F, Macdonald DW, Wilson AM, McNutt JW, Shawe-Taylor J, Hailes S]
通讯作者:
Hailes S
UKRI-India Future Networks Initiative
-
批准号:EP/W016699/1
-
项目类别:Research Grant
-
资助金额:$4.83万
-
财政年份:2021
-
负责人:Stephen Hailes
-
依托单位:
The UKRI ExCALIBUR Hardware And Enabling Software Programme: The UCL Adaptable Cluster Project (PERIOD ONE)
-
批准号:ST/V001248/1
-
项目类别:Research Grant
-
资助金额:$47.12万
-
财政年份:2020
-
负责人:Stephen Hailes
-
依托单位:
Accessible Routes from Crowdsourced Cloud Services (ARCCS)
-
批准号:EP/L023849/1
-
项目类别:Research Grant
-
资助金额:$43.94万
-
财政年份:2014
-
负责人:Stephen Hailes
-
依托单位:
IU-ATC Phase 2
-
批准号:EP/J016721/1
-
项目类别:Research Grant
-
资助金额:$33.96万
-
财政年份:2012
-
负责人:Stephen Hailes
-
依托单位:
India-UK Advanced Technology Centre (IU-ATC) of Excellence in Next Generation Networks Systems and Services
-
批准号:EP/G054886/1
-
项目类别:Research Grant
-
资助金额:$34.18万
-
财政年份:2009
-
负责人:Stephen Hailes
-
依托单位:
SUAAVE: Sensing Unmanned Autonomous Aerial VEhicles
-
批准号:EP/F064179/1
-
项目类别:Research Grant
-
资助金额:$88.86万
-
财政年份:2008
-
负责人:Stephen Hailes
-
依托单位:
SESAME: Sensing for Sport and Managed Exercise
-
批准号:EP/D076943/1
-
项目类别:Research Grant
-
资助金额:$123.41万
-
财政年份:2007
-
负责人:Stephen Hailes
-
依托单位:
Pervasive Computing Support for Market Trading
-
批准号:EP/D07696X/1
-
项目类别:Research Grant
-
资助金额:$44.58万
-
财政年份:2006
-
负责人:Stephen Hailes
-
依托单位:
海外基金