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SK-DSSy: how to integrate the YouTube platform in a cooperative decision support?
Torregrossa, Dario; Hansen, Joachim
2018Springer Science & Business Media B.V.
 

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Keywords :
Wastewater treatment; Energy efficiency; decision support; Youtube
Abstract :
[en] In wastewater treatment plants (WWTPs) domain, the decision support tools are nowadays necessary in order to efficiently process the large databases generated with on-line sensors. In this paper a cooperative decision support system (DSS) is presented. This DSS uses a KPI-based fuzzy logic engine to analyse the plant performance and identify the operational conditions that occur in the plants. Then, it associates the detected operational conditions with YouTube pages in which videos are uploaded to provide details and propose suggestions. The YouTube platform is then used to share and validate suggestions by means of the comment functions and the 'likes'. This approach is innovative, free of costs, and useful for plant managers that can rely on a user-friendly platform.
Disciplines :
Civil engineering
Author, co-author :
Torregrossa, Dario
Hansen, Joachim ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
External co-authors :
no
Language :
English
Title :
SK-DSSy: how to integrate the YouTube platform in a cooperative decision support?
Publication date :
2018
Publisher :
Springer Science & Business Media B.V.
Edition :
ICDSST 2018. Lecture Notes in Business Information Processing, vol 313. Springer, Cham
Number of pages :
10
Collection name :
Lecture Notes Bus. Inf. Process Vol.313
Focus Area :
Sustainable Development
Available on ORBilu :
since 13 November 2018

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