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Realization of Bandpass Filter Based on Spoof Surface Plasmon Polariton Technique at Microwave Frequency Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Smart City Project Management System Using Cloud

Authors : Revati M. Wahul, Santosh S. Lomte

Published in: Computing, Communication and Signal Processing

Publisher: Springer Singapore

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Abstract

Massive increase in population around the world and the advent of more and more number of people moving to cities for livelihood has increased the demand for better transportation and infrastructure. It has given rise to conflicts between multiple smart city services and demands the better project management. Here, we are putting forward a fresh approach for smart city project management using the live data feed through which we detect the conflict in real time, which in turn helps the authorities for better decision-making.

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previous chapter Analysis of Probabilistic Models for Influence Ranking in Social Networks
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Literature
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Rahman, H., et al.: Road traffic forecasting through simulation and live GPS-Feed from intervehicle networks. In: Proceedings of the GHTC 2012 IEEE, Washington, pp. 36–40
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Rathore, M., et al.: Real-time big data analytical architecture for remote sensing application. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. (to be published)
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Corcoran, P., et al.: Mobile-edge computing and the internet of things for consumers: extending cloud computing and services to the edge of the network. IEEE Consum. Electron. Mag. (2016)
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Pradhan, S., Dubey, A., Neema, S., Gokhale, A.: Towards a generic computation model for smart city platforms. In: 1st International Workshop on SCOPE—GCTC, IEEE, Vienna, Apr 2016
Metadata
Title
Smart City Project Management System Using Cloud
Authors
Revati M. Wahul
Santosh S. Lomte
Copyright Year
2019
Publisher
Springer Singapore
Book
Computing, Communication and Signal Processing

Print ISBN: 978-981-13-1512-1

Electronic ISBN: 978-981-13-1513-8

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-1513-8_24