Next Article in Journal
Evaluation of Anti-Wear Properties of Metalworking Fluids Enhanced with Halloysite Nanotubes
Previous Article in Journal
Experimental Study on the Performance of Polyurethane-Steel Sandwich Structure under Debris Flow
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessReview
Appl. Sci. 2017, 7(10), 1017; doi:10.3390/app7101017

Cyber–Physical–Social Frameworks for Urban Big Data Systems: A Survey

1
Institute for Communication Systems (ICS), University of Surrey, Guildford GU2 7XH, UK
2
Evrythng Limited, Unit 4, 122 East Road, London N1 6FB, UK
*
Author to whom correspondence should be addressed.
Received: 9 August 2017 / Revised: 25 September 2017 / Accepted: 26 September 2017 / Published: 2 October 2017
(This article belongs to the Section Computer Science and Electrical Engineering)
View Full-Text   |   Download PDF [3080 KB, uploaded 24 October 2017]   |  

Abstract

The integration of things’ data on the Web and Web linking for things’ description and discovery is leading the way towards smart Cyber–Physical Systems (CPS). The data generated in CPS represents observations gathered by sensor devices about the ambient environment that can be manipulated by computational processes of the cyber world. Alongside this, the growing use of social networks offers near real-time citizen sensing capabilities as a complementary information source. The resulting Cyber–Physical–Social System (CPSS) can help to understand the real world and provide proactive services to users. The nature of CPSS data brings new requirements and challenges to different stages of data manipulation, including identification of data sources, processing and fusion of different types and scales of data. To gain an understanding of the existing methods and techniques which can be useful for a data-oriented CPSS implementation, this paper presents a survey of the existing research and commercial solutions. We define a conceptual framework for a data-oriented CPSS and detail the various solutions for building human–machine intelligence. View Full-Text
Keywords: Cyber–Physical–Social Systems; survey; cross-space data fusion; social intelligence; urban awareness; Internet of Things Cyber–Physical–Social Systems; survey; cross-space data fusion; social intelligence; urban awareness; Internet of Things
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

De, S.; Zhou, Y.; Larizgoitia Abad, I.; Moessner, K. Cyber–Physical–Social Frameworks for Urban Big Data Systems: A Survey. Appl. Sci. 2017, 7, 1017.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top