Details
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Type: extRequest
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Status: Closed
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Priority: Blocker
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Resolution: Done
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Fix Version/s: 2021
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Component/s: FIWARE-TECH-HELP
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Labels:
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HD-Chapter:Data
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HD-Enabler:Cygnus
Description
Dear Fiware Tech Support,
I am Lorenzo, a member of Fliware which is a project granted by frontierCities2 during the last year.
Among the FIWARE technologies we have used in our acceleration path, we encountered some issue in the Cygnus - Cosmos communication.
Specifically, we aimed to perform Machine Learning algorithms taking advantages from these Generic Enablers. However, due to our data collection implemented a nested JSON structure, we was not able to use Cygnus because of it transformed the embedded JSON structure in a flat JSON structure. Therefore, the Machine Learning algorithm descresed in terms of performance and, u nfortunately, we decided to decline the utilization of Cygnus in our project.
We found a possible cause in the missing of NGSI 2.0 support.
Our technical coach suggest us to inform the support system and we are happy to help the community for improving the quality of the service provided.
Best regards,
Lorenzo.
___
Mr. Lorenzo Carnevale, MEng.
PhD Student
Department of Mathematics, Computer Sciences, Physics and Earth Sciences
University of Messina
I-98166 Messina
mobile: +43 660 20 57 638
research: [ https://scholar.google.it/citations?hl=it&user=_5EzmTwAAAAJ&view_op=list_works&sortby=pubdate | scholar ]
website: [ http://fcrlab.unime.it/ | fcrlab.unime.it ] | [ https://lcarnevale.github.io/ | lcarnevale.github.io ]
[ http://www.linkedin.com/in/lorenzocarnevale | linkedin ] | [ https://twitter.com/lorecarnevale | twitter ]
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[Created via e-mail received from: Lorenzo Carnevale <lcarnevale@unime.it>]
Dear Fiware Tech Support,
I'm writing this email in behalf of the FLIWARE team, one of the grantees of the Frontiercities2 project.
Among the FIWARE technologies we have used in our acceleration path, we encountered some issue in the Cygnus - Cosmos communication.
Specifically, we aimed to perform Machine Learning algorithms taking advantages from these Generic Enablers. However, due to our data collection implemented a nested JSON structure, we was not able to use Cygnus because of it transformed the embedded JSON structure in a flat string. Therefore, was impossible to run the Machine Learning algorithm using this data structure and, u nfortunately, we decided to decline the utilization of Cygnus in our project.
We found a possible cause in the missing of NGSI 2.0 support.
Best regards,
Antonino