DocumentCode :
1817507
Title :
OLIO — A novel framework to help solve difficult problems that rely on data for their solution
Author :
Hanlon, M.D. ; Hoath, R.M. ; Orme, E.A.
Author_Institution :
Cambridge Consultants, Cambridge, UK
fYear :
2012
fDate :
25-26 Sept. 2012
Firstpage :
1
Lastpage :
5
Abstract :
Problems relying on data for their solution are wide ranging, but to be successfully resolved often require the tight integration of a common set of tools and skills. Cambridge Consultants has created OLIO, a development framework which speeds our implementation of demanding data fusion applications such as those with significant data uncertainty or incomplete data history. The OLIO framework consists of a collection of modules that help the application developer quickly become productive, follow good practice and avoid the repetitive boilerplate tasks that would otherwise be required.
Keywords :
data handling; relational databases; sensor fusion; Cambridge consultants; OLIO development framework; application developer; data fusion application; data uncertainty; incomplete data history; repetitive boilerplate task; MATLAB; OLIO; data fusion; framework; system development;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Road Transport Information and Control (RTIC 2012), IET and ITS Conference on
Conference_Location :
London
Electronic_ISBN :
978-1-84919-674-1
Type :
conf
DOI :
10.1049/cp.2012.1539
Filename :
6489857
Link To Document :
بازگشت