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K (Textersetzung - „Forschungsgruppe=Wissensmanagement“ durch „Forschungsgruppe=Web Science und Wissensmanagement“)
 
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{{Veranstaltung
 
{{Veranstaltung
|Titel DE=Yongchun Xu
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|Titel DE=Efficient Context-aware Real-time Processing of Personal Data Streams
|Titel EN=Yongchun Xu
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|Titel EN=Efficient Context-aware Real-time Processing of Personal Data Streams
|Beschreibung DE=folgt
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|Beschreibung DE=In this work I propose a framework for the development of innovative mobile applications that are context-aware in processing of real-time personal data streams by taking into account the resource limitation on
|Beschreibung EN=folgt
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mobile devices, in order to achieve an efficient processing of real-time sensor data on mobile devices for various use cases. I present an innovative event-driven hybrid software architecture for data-intensive mobile applications, in order to extend processing capability by using an additional backend server. Furthermore,
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I present context-aware monitoring models with the purpose of relating real-time personal data with personal context and domain knowledge. The approach of data collaboration enables collaborative personal data processing. I also discuss an approach for resource-aware dynamic pattern distribution to achieve a more efficient pattern distribution regarding available resources of mobile devices. The semantic-based dynamic pattern management uses semantic technologies to manage patterns and event resources and in order to achieve real-time adaptation to event resource changes.
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|Beschreibung EN=In this work I propose a framework for the development of innovative mobile applications that are context-aware in processing of real-time personal data streams by taking into account the resource limitation on
 +
mobile devices, in order to achieve an efficient processing of real-time sensor data on mobile devices for various use cases. I present an innovative event-driven hybrid software architecture for data-intensive mobile applications, in order to extend processing capability by using an additional backend server. Furthermore,
 +
I present context-aware monitoring models with the purpose of relating real-time personal data with personal context and domain knowledge. The approach of data collaboration enables collaborative personal data processing. I also discuss an approach for resource-aware dynamic pattern distribution to achieve a more efficient pattern distribution regarding available resources of mobile devices. The semantic-based dynamic pattern management uses semantic technologies to manage patterns and event resources and in order to achieve real-time adaptation to event resource changes.
 +
 
 
|Veranstaltungsart=Graduiertenkolloquium
 
|Veranstaltungsart=Graduiertenkolloquium
 
|Start=2014/06/06 14:00:00
 
|Start=2014/06/06 14:00:00
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|Gebäude=11.40
 
|Gebäude=11.40
 
|Raum=231
 
|Raum=231
|Forschungsgruppe=Wissensmanagement
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|Vortragender=Dipl.-Inform. Yongchun Xu
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|Eingeladen durch=Rudi Studer
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|PDF=2Yongchun Xu.6 6.14.pdf
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|Forschungsgruppe=Web Science und Wissensmanagement
 
|In News anzeigen=True
 
|In News anzeigen=True
 
}}
 
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Aktuelle Version vom 8. Oktober 2015, 07:22 Uhr

Efficient Context-aware Real-time Processing of Personal Data Streams

Veranstaltungsart:
Graduiertenkolloquium




In this work I propose a framework for the development of innovative mobile applications that are context-aware in processing of real-time personal data streams by taking into account the resource limitation on mobile devices, in order to achieve an efficient processing of real-time sensor data on mobile devices for various use cases. I present an innovative event-driven hybrid software architecture for data-intensive mobile applications, in order to extend processing capability by using an additional backend server. Furthermore, I present context-aware monitoring models with the purpose of relating real-time personal data with personal context and domain knowledge. The approach of data collaboration enables collaborative personal data processing. I also discuss an approach for resource-aware dynamic pattern distribution to achieve a more efficient pattern distribution regarding available resources of mobile devices. The semantic-based dynamic pattern management uses semantic technologies to manage patterns and event resources and in order to achieve real-time adaptation to event resource changes.

(Dipl.-Inform. Yongchun Xu)




Start: 06. Juni 2014 um 14:00
Ende: 06. Juni 2014 um 15:00


Im Gebäude 11.40, Raum: 231

Veranstaltung vormerken: (iCal)


Veranstalter: Forschungsgruppe(n) Web Science und Wissensmanagement
Information: Media:2Yongchun Xu.6 6.14.pdf