skip to main content
10.1145/3414752.3414800acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicemeConference Proceedingsconference-collections
research-article

The Significance of Urban Cockpit for Urban Brain Construction

Published:18 November 2020Publication History

ABSTRACT

The urban cockpit will comprehensively perceive and process all kinds of data in the city operation, establish the data chassis of the smart city, objectively, comprehensively and multi dimensionally display the operation situation of the city, and carry out early warning, prediction and scientific disposal of outstanding problems and emergencies in the city operation. Moreover, in the near future, with the introduction and use of 5G, artificial intelligence, big data, data Luan Sheng and edge computing in the city brain project, the city cockpit will also give the city managers and visitors a better and more beautiful feeling in the display effect (such as immersion and three-dimensional), thus accelerating the promotion and landing of the city brain project and promoting social governance Intelligent and professional, improve the level of comprehensive city governance, and change the transformation and upgrading of the city from extensive to precise and refined.

References

  1. Charles Ebikeme, Franz Gatzweiler, Tolullah Oni, Jieling Liu, Andrea Oyuela & José Siri. Xiamen Call for Action: Building the Brain of the Urban—Universal Principles of Urban Health. Journal. J Urban Health 96, 507–509 (2019). DOI= https://doi.org/10.1007/s11524-018-00342-0Google ScholarGoogle ScholarCross RefCross Ref
  2. Xian-Sheng Hua. 2018. The City Brain: Towards Real-Time Search for the Real-World. Meeting Record. SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (2018). DOI= 10.1145/3209978Google ScholarGoogle Scholar
  3. Lambert, Kelly G. 2015. Brains in the City: Neurobiological effects of urbanization. Journal. Neuroscience and biobehavioral reviews. ISSN:0149-7634. PMID:25936504. DOI=https://doi.org/10.1016/j.neubiorev.2015.04.007.Google ScholarGoogle ScholarCross RefCross Ref
  4. Chris Neale, Peter Aspinall, Jenny Roe, Sara Tilley, Panagiotis Mavros, Steve Cinderby, Richard Coyne, Neil Thin, Gary Bennett & Catharine Ward Thompson. The Aging Urban Brain: Analyzing Outdoor Physical Activity Using the Emotiv Affectiv Suite in Older People. J Urban Health 94, 869–880 (2017). DOI= https://doi.org/10.1007/s11524-017-0191-9.Google ScholarGoogle ScholarCross RefCross Ref
  5. Peter Aspinall, Panagiotis Mavros, Richard Coyne, Jenny Roe. The urban brain: analysing outdoor physical activity with mobile EEGBritish. Journal of Sports Medicine 2015; 49: 272-276.Google ScholarGoogle Scholar
  6. Y. Lou , Towards digital retina in smart cities: A model generation utilization and communication paradigm, Proc. IEEE Int. Conf. Multimedia Expo. (ICME), Jul. 2019.Google ScholarGoogle ScholarCross RefCross Ref
  7. Wen GAO , Yonghong TIAN , Jian WANG, Digital retina: revolutionizing camera systems for the smart city, SCIENTIA SINICA Informationis, Volume 48 , Issue 8 : 1076-1082(2018) DOI= https://doi.org/10.1360/N112018-00025Google ScholarGoogle ScholarCross RefCross Ref
  8. Y. Lou , "Front-End Smart Visual Sensing and Back-End Intelligent Analysis: A Unified Infrastructure for Economizing the Visual System of City Brain," in IEEE Journal on Selected Areas in Communications, vol. 37, no. 7, pp. 1489-1503, July 2019, DOI=10.1109/JSAC.2019.2916488.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. J. Lin , "HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval," in IEEE Transactions on Multimedia, vol. 19, no. 9, pp. 1968-1983, Sept. 2017, DOI= 10.1109/TMM.2017.2713410Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Deren Li, Yuan Yao, Zhenfeng Shao, Le Wang, From digital Earth to smart Earth, Chinese Science Bulletin, Volume 59 , Issue 8 : 722-733(2014)DOI=https://doi.org/10.1007/s11434-013-0100-xGoogle ScholarGoogle ScholarCross RefCross Ref

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    ICEME '20: Proceedings of the 2020 11th International Conference on E-business, Management and Economics
    July 2020
    312 pages
    ISBN:9781450388016
    DOI:10.1145/3414752

    Copyright © 2020 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 18 November 2020

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited
  • Article Metrics

    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)1

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format