Paper Info
Title
Towards Distributed Cyberinfrastructure For Smart Cities Using Big Data And Deep Learning Technologies
Abstract
Recent advances in big data and deep learning technologies have enabled researchers across many disciplines to gain new insight into large and complex data. For example, deep neural networks are being widely used to analyze various types of data including images, videos, texts, and time-series data. In another example, various disciplines such as sociology, social work, and criminology are analyzing crowd-sourced and online social network data using big data technologies to gain new insight from a plethora of data. Even though many different types of data are being generated and analyzed in various domains, the development of distributed city-level cyberinfrastructure for effectively integrating such data to generate more value and gain insights is still not well-addressed in the research literature. In this paper, we present our current efforts and ultimate vision to build distributed cyberinfrastructure which integrates big data and deep learning technologies with a variety of data for enhancing public safety and livability in cites. We also introduce several methodologies and applications that we are developing on top of the cyberinfrastructure to support diverse community stakeholders in cities.
Year
DOI
Venue
2018
10.1109/ICDCS.2018.00127
2018 IEEE 38TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS)
Field
DocType
ISSN
Social work,Data science,Social network,Computer science,Server,Cyberinfrastructure,Data type,Artificial intelligence,Distributed database,Deep learning,Big data,Distributed computing
Conference
1063-6927
Citations 
PageRank 
References 
1
0.35
0
Authors
5
Name
Order
Citations
PageRank
Shayan Shams182.51
Sayan Goswami221.39
Kisung Lee334227.05
Seungwon Yang4275.22
Seung-Jong Park531931.12