Smart City Gnosys

Smart city article details

Title	Making Iot Data Ready For Smart City Applications
ID_Doc	36167
Authors	Lee R.; Jang R.-Y.; Park M.; Jeon G.-Y.; Kim J.-K.; Lee S.-H.
Year	2020
Published	Proceedings - 2020 IEEE International Conference on Big Data and Smart Computing, BigComp 2020
DOI	http://dx.doi.org/10.1109/BigComp48618.2020.00020
Abstract	Modern smart city projects are evolving to the next level of data-centric situation awareness and decision makings, thereby requiring much intensive data integration over various data sources made from city space. In order to satisfy a variety of data demands for diverse smart city applications, we have been developing an integrated IoT data service, IoTDA, to provide essential data-oriented services from data collecting to deep learning based data analysis. In this paper, we introduce the overall architecture and functions of the service platform and explain how the platform will be used with a case study of road surface analysis. In particular, we examine how our data service can be connected to public smart city applications and present the common direction that these types of urban data services should provide for advanced city services. © 2020 IEEE.
Author Keywords	Deep learning service; IoT data service; Smart city; Traffic data analysis; Visual data analysis

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