Skip to main content

A Study for Human Centric Cyber Physical System Based Sensing – Toward Safe and Secure Urban Life –

  • Conference paper
Information Search, Integration and Personalization (ISIP 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 146))

Abstract

Recently, a large number of sensors have been deployed in urban areas, and they can be used for several purposes toward safe and secure urban life. Cost effective sensing and controlling for human activities are becoming possible. As pervasive sensing progresses, Human centric Cyber Physical System (HCPS) will receive much attention where effects of human activities are taken into consideration for designing and developing CPS based social systems. In this paper, we focus on safe and secure urban life and present two case studies: (a) classification of patients in emergency hospitals and (b) estimation of urban pedestrian flows. We also present our testing environment for HCPS.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Higashino, T., Uchiyama, A., Yasumoto, K.: eTriage: A Wireless Communication Service Platform for Advanced Rescue Operations. In: Proc. of ACM Workshop on Internet of Things and Service Platforms (IoTSP 2011) (2012) (Keynote Speech/Invited Paper)

    Google Scholar 

  2. Maeda, K., Uchiyama, A., Umedu, T., Yamaguchi, H., Yasumoto, K., Higashino, T.: Urban Pedestrian Mobility for Mobile Wireless Network Simulation. Ad Hoc Networks 7(1), 153–170 (2009)

    Article  Google Scholar 

  3. Higuchi, T., Yamaguchi, H., Higashino, T.: Clearing a Crowd: Context-supported Neighbor Positioning for People-centric Navigation. In: Proc. of 10th IEEE Int. Conf. on Pervasive Computing, pp. 325–342 (2012)

    Google Scholar 

  4. Kanaya, T., Hiromori, A., Yamaguchi, H., Higashino, T.: HumanS: A Human Mobility Sensing Simulator. In: Proc. of 5th IFIP Int. Conf. on New Technologies, Mobility and Security (2012)

    Google Scholar 

  5. Miluzzo, E., Lane, N.D., Fodor, K., Peterson, R., Lu, H., Musolesi, M., Eisenman, S.B., Zheng, X., Campbell, A.T.: Sensing Meets Mobile Social Networks: The Design, Implementation and Evaluation of the CenceMe Application. In: Proc. of 6th ACM Conference on Embedded Networked Sensor Systems (SenSys 2008), pp. 337–350 (2008)

    Google Scholar 

  6. Murty, R., Mainland, G., Rose, I., Chowdhury, A.R., Gosain, A., Bers, J., Welsh, M.: CitySense: An Urban-scale Wireless Sensor Network and Testbed. In: Proc. of 2008 IEEE Int. Conf. on Technologies for Homeland Security (2008)

    Google Scholar 

  7. Campbell, A.T., Eisenman, S.B., Lane, N.D., Miluzzo, E., Peterson, R.A., Lu, H., Zheng, X., Musolesi, M., Fodor, K., Ahn, G.-S.: The Rise of People-Centric Sensing. IEEE Internet Computing 12(4), 12–21 (2008)

    Article  Google Scholar 

  8. Royer, E.M., Melliar-Smith, P.M., Moser, L.E.: An Analysis of the Optimum Node Density for Ad Hoc Mobile Networks. In: Proc. of IEEE Int. Conf. on Communications (ICC 2001), pp. 857–861 (2001)

    Google Scholar 

  9. Zhang, X., Kurose, J., Levine, B.N., Towsley, D., Zhang, H.: Study of a Bus-based Disruption-Tolerant Network: Mobility Modeling and Impact on Routing. In: Proc. of ACM Int. Conf. on Mobile Computing and Networking (MobiCom 2007), pp. 195–206 (2007)

    Google Scholar 

  10. Tracy, T., Jeff, B., Vanessa, D.: A Survey of Mobility Models for Ad Hoc Network Research. Wireless Comm. & Mobile Computing (WCMC) 2(5), 483–502 (2002)

    Article  Google Scholar 

  11. Chu, T., Nikolaidis, I.: Node Density and Connectivity Properties of the Random Waypoint Model. Computer Communications 27(10), 914–922 (2004)

    Article  Google Scholar 

  12. eTriage System HP: http://www-higashi.ist.osaka-u.ac.jp/research/e-triage.html

  13. Diamor Osaka: http://www.diamor.jp/lang/en/

  14. Population Census in National Survey of Japan: The Statistics Bureau and the Director-General for Policy Planning of Japan, Tech. Rep. (2005) (in Japanese), http://www.stat.go.jp/data/kokusei/2005/jutsu1/00/03.html

  15. Nakata, K., Maeda, K., Umedu, T., Hiromori, A., Yamaguchi, H., Higashino, T.: Modeling and Evaluation of Rescue Operations using Mobile Communication Devices. In: Proc. of 23rd ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation (PADS 2009), pp. 64–71 (2009)

    Google Scholar 

  16. Second Life: http://secondlife.com/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Higashino, T., Uchiyama, A. (2013). A Study for Human Centric Cyber Physical System Based Sensing – Toward Safe and Secure Urban Life –. In: Tanaka, Y., Spyratos, N., Yoshida, T., Meghini, C. (eds) Information Search, Integration and Personalization. ISIP 2012. Communications in Computer and Information Science, vol 146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40140-4_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40140-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40139-8

  • Online ISBN: 978-3-642-40140-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics