Research Article

An Artifical Management Platform Based on Deep Learning Using Cloud Computing for Smart Cities

Number: Special Issue-1 September 24, 2017
  • Yunus Santur *
  • Ebru Karaköse
  • Mehmet Karaköse
  • Erhan Akın
EN

An Artifical Management Platform Based on Deep Learning Using Cloud Computing for Smart Cities

Abstract

Nowadays, deep learning is commonly used in many areas such as natural language processing, data mining, image processing and interpretation. The use of technology in city management for the purposes of effective resource management, improving the quality of service and reducing costs have led to smart city concept. The data produced by automation systems as well as internet-connected objects such as sensor, camera and mobile device are also used for smart city management. It is difficult to analyze such a big sized data by processing with conventional methods and to use them in decision-making mechanisms. In this study, deep learning based data mining was performed on big data obtained from different types of sources for smart city management and an approach to ensure that the results can be analyzed was proposed.

Keywords

References

  1. H. Chourabi, T. Nam, S. Walker, J.R. Gil-Garcia, S. Mellouli, K. Nahon, H.J. Scholl, “Understanding smart cities: An integrative framework”, In System Science (HICSS), 2012 45th Hawaii International Conference on (pp. 2289-2297), 2012.
  2. T. Nam, T. A. Pardo, “Conceptualizing smart city with dimensions of technology, people, and institutions”, In Proceedings of the 12th Annual International Digital Government Research Conf.: Digital Government Innovation in Challenging Times (pp. 282-291), 2012.
  3. K. Su, J. Li, H. Fu, “Smart city and the applications”, In Electronics, Communications and Control (ICECC), 2011 International Conference on (pp. 1028-1031), 2011.
  4. C.T. Barba, M. A. Mateos, P. R. Soto, A. M. Mezher, M. A. Igartua, “Smart city for VANETs using warning messages, traffic statistics and intelligent traffic lights”, In Intelligent Vehicles Symposium (IV), (pp. 902-907), 2012.
  5. Y. LeCun, Y. Bengio, G. Hinton, “Deep learning”, Nature, 521(7553), 436-444, 2015.
  6. Y. Santur, M. Karaköse, E. Akın, “Learning Based Experimental Approach For Condition Monitoring Using Laser Cameras In Railway Tracks”, International Journal of Applied Mathematics, Electronics and Computers (IJAMEC), 4, pp.1-5, 2016.
  7. L. Wang, D. Sng, “Deep Learning Algorithms with Applications to Video Analytics for A Smart City: A Survey”, arXiv preprint arXiv:1512.03131, 2015.
  8. P.Gupta,http://www.nvidia.com.tw/content/PDF/GTC/2015/smartcity/gpu-accelerated-platform-pradeep-gupta.pdf, 2015.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Ebru Karaköse This is me

Mehmet Karaköse This is me

Erhan Akın This is me

Publication Date

September 24, 2017

Submission Date

July 10, 2017

Acceptance Date

-

Published in Issue

Year 2017 Number: Special Issue-1

APA
Santur, Y., Karaköse, E., Karaköse, M., & Akın, E. (2017). An Artifical Management Platform Based on Deep Learning Using Cloud Computing for Smart Cities. International Journal of Applied Mathematics Electronics and Computers, Special Issue-1, 24-28. https://doi.org/10.18100/ijamec.2017SpecialIssue30466
AMA
1.Santur Y, Karaköse E, Karaköse M, Akın E. An Artifical Management Platform Based on Deep Learning Using Cloud Computing for Smart Cities. International Journal of Applied Mathematics Electronics and Computers. 2017;(Special Issue-1):24-28. doi:10.18100/ijamec.2017SpecialIssue30466
Chicago
Santur, Yunus, Ebru Karaköse, Mehmet Karaköse, and Erhan Akın. 2017. “An Artifical Management Platform Based on Deep Learning Using Cloud Computing for Smart Cities”. International Journal of Applied Mathematics Electronics and Computers, no. Special Issue-1: 24-28. https://doi.org/10.18100/ijamec.2017SpecialIssue30466.
EndNote
Santur Y, Karaköse E, Karaköse M, Akın E (September 1, 2017) An Artifical Management Platform Based on Deep Learning Using Cloud Computing for Smart Cities. International Journal of Applied Mathematics Electronics and Computers Special Issue-1 24–28.
IEEE
[1]Y. Santur, E. Karaköse, M. Karaköse, and E. Akın, “An Artifical Management Platform Based on Deep Learning Using Cloud Computing for Smart Cities”, International Journal of Applied Mathematics Electronics and Computers, no. Special Issue-1, pp. 24–28, Sept. 2017, doi: 10.18100/ijamec.2017SpecialIssue30466.
ISNAD
Santur, Yunus - Karaköse, Ebru - Karaköse, Mehmet - Akın, Erhan. “An Artifical Management Platform Based on Deep Learning Using Cloud Computing for Smart Cities”. International Journal of Applied Mathematics Electronics and Computers. Special Issue-1 (September 1, 2017): 24-28. https://doi.org/10.18100/ijamec.2017SpecialIssue30466.
JAMA
1.Santur Y, Karaköse E, Karaköse M, Akın E. An Artifical Management Platform Based on Deep Learning Using Cloud Computing for Smart Cities. International Journal of Applied Mathematics Electronics and Computers. 2017;:24–28.
MLA
Santur, Yunus, et al. “An Artifical Management Platform Based on Deep Learning Using Cloud Computing for Smart Cities”. International Journal of Applied Mathematics Electronics and Computers, no. Special Issue-1, Sept. 2017, pp. 24-28, doi:10.18100/ijamec.2017SpecialIssue30466.
Vancouver
1.Yunus Santur, Ebru Karaköse, Mehmet Karaköse, Erhan Akın. An Artifical Management Platform Based on Deep Learning Using Cloud Computing for Smart Cities. International Journal of Applied Mathematics Electronics and Computers. 2017 Sep. 1;(Special Issue-1):24-8. doi:10.18100/ijamec.2017SpecialIssue30466

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