abstract

Smart City Concepts Cloud-Based Learning Platform for Undergraduate IT Students

Authors:

Paul-Marie Moulema Douala,

Sriharsha MallapuramAuthors Info & Claims

SIGITE '20: Proceedings of the 21st Annual Conference on Information Technology Education

Page 216

https://doi.org/10.1145/3368308.3415356

Published: 07 October 2020 Publication History

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Abstract

To address the long-standing urban challenges and improve city services and utilities, major cities are adopting smart city initiatives which involve cyber physical systems and emerging technologies. Nevertheless, there is a need for a high-quality workforce with adequate training and skills at different capacities. The proposed solution is to design and develop a cloud-based learning and simulation platform that includes major features and functionalities of smart cities. The scope of this platform could be limited to IoT, Sensors networking, Big Data, smart power grid, smart transportation, and cybersecurity.

References

[1]

Albino, V., Berardi, U., & Dangelico, R. M. (2015). Smart cities: Definitions, dimensions, performance, and initiatives. Journal of urban technology, 22(1), 3--21.

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[2]

Sriharsha Mallapuram, Nnatubemugo Ngwum, Fang Yuan, Chao Lu, and Wei Yu, (2017). Smart City: The State of the Art, Datasets, and Evaluation Platforms. In Proceedings of 16th IEEE/ACIS International Conference on Computer and Information Science (ICIS).

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Smart City Concepts Cloud-Based Learning Platform for Undergraduate IT Students

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Published In

SIGITE '20: Proceedings of the 21st Annual Conference on Information Technology Education

October 2020

446 pages

ISBN:9781450370455

DOI:10.1145/3368308

General Chairs:
Deepak Khazanchi
University of Nebraska at Omaha, USA
,
Harvey Siy,
Program Chairs:
George Grispos,
Tenace Kwaku Setor
University of Nebraska at Omaha, USA

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 October 2020

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SIGITE '20

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SIGITE

SIGITE '20: The 21st Annual Conference on Information Technology Education

October 7 - 9, 2020

Virtual Event, USA

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Overall Acceptance Rate 176 of 429 submissions, 41%

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