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Construction of the Emerging Community Management System

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Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1342))

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Abstract

The study mainly shows the face recognition system and the integrated verification system applied in the community management to point out the necessity of building an emerging intelligent community management system. At the same time, the study separates two sections to display face recognition system and integrated verification system. Combing the process of face recognition and the architecture of community face recognition system to indicate the working mechanism, through the front-end acquisition module, the pre-processing module, the matching and recognition module, the output module and the management module, with the detail information respectively. Importantly, in order to provide a better service for public security work, it is also required to build an integrated verification system. Through the integrated verification system framework, dividing into multi-source data integration and multi-biometric feature verification to address issues and explain the working process and mechanism. Definitively, implementing the emerging system can bring both social and economic benefits, which can contribute to the construction of public security.

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References

  1. Dameri, P.R., Benevolo, C., Veglianti, E., Li, Y.: Understanding smart cities as a glocal strategy: a comparison between Italy and China. Technol. Forecast. Soc. Chang. 142, 26–41 (2019)

    Article  Google Scholar 

  2. Cutsem, V.O., Dac, H.D., Boudou, P., Kayal, M.: Cooperative energy management of a community of smart-buildings: a Blockchain approach. Int. J. Electr. Power Energy Syst. 117, p. 105643 (2020)

    Google Scholar 

  3. Masi, I., Wu, Y., Hassner, T., Natarajan, P.: Deep face recognition: a survey. In: 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), IEEE Press (2018)

    Google Scholar 

  4. Shang, Y., Zhang, J.: The research on intelligent monitoring system. In: Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017) (2017)

    Google Scholar 

  5. Mahdi, F.P., Habib, M.M., Ahad, M.A.R., Mckeever, S., Moslehuddin, A., Vasant, P.: Face recognition-based real-time system for surveillance. Intell. Decis. Technol. 11(1), 79–92 (2017)

    Article  Google Scholar 

  6. Fathy, W.E., Ghoneim, A.S., Zarif, S., Youssif, A.A.: Benchmarking of pre-processing methods employed in facial image analysis. J. Image Graph. 6(1), 1–9 (2018)

    Article  Google Scholar 

  7. Zhang, Y.: Realization of face image recognition system based on histogram. In: Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016) (2016)

    Google Scholar 

  8. Zhou, X.: Application research of face recognition technology in smart campus. In: Journal of Physics: Conference Serirs, Vol. 1437, IOP Publishing Ltd (2020)

    Google Scholar 

  9. Huang, L., Su, J., Pao, T.: A context aware smart classroom architecture for smart campuses. Special Issue “Internet of Raspberry Things (IoRT): Applications, Challenges and Opportunities” (2019)

    Google Scholar 

  10. Dong, Z., Zhang, Y., Yip, C., Swift, S., Beswick, K.: Smart campus: definition, framework, technologies, and services. IET Smart Cities 2, 43–54 (2020)

    Article  Google Scholar 

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Acknowledgements

This study is supported by the National Key Research and Development Project of China (No. 2018YFC0809704).

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Authors and Affiliations

  1. The Third Research Institute of the Ministry of Public Security, Shanghai, China

    Zhicao Xu, Zhiguo Yan & Chenfeng Kang

Authors
  1. Zhicao Xu
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  2. Zhiguo Yan
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  3. Chenfeng Kang
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Corresponding author

Correspondence to Zhicao Xu .

Editor information

Editors and Affiliations

  1. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  2. Department Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

  4. Assistant Professor in Practice, University of Texas at San Antonio, Boerne, TX, USA

    Xiaolu Zhang

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Xu, Z., Yan, Z., Kang, C. (2021). Construction of the Emerging Community Management System. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_97

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