Skip to main content

Crowdsourcing Interactive Technology for Natural-Technical Objects Integrated Monitoring

  • Conference paper
Book cover Speech and Computer (SPECOM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8773))

Included in the following conference series:

Abstract

This article discusses the possibility of combining modern social interactive technologies and the process of ground-space monitoring of natural and technical objects, as well as improving the efficiency and social importance of this process, by involving public representatives to the dissemination and use of the monitoring data. Specific information-analytical monitoring system is proposed in the paper. This system is based on suggested technology of remote sensing data as well as data of other sources with social information integration in the current context.

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. Merkuryev, Y., Sokolov, B., Merkuryeva, G.: Integrated Intelligent Platform for Monitoring the Cross-Border Natural-Technological Systems. In: Proc. of the 14th International Conference on Harbor Maritime and Multimodal Logistics M&S, HMS 2012, pp. 7–10 (2012)

    Google Scholar 

  2. Bradley, A.J., McDonald, M.P.: The social organization: How to use social media to tap the collective genius of your customers and employees. Gartner, Inc., Harvard Business Review Press, Boston (2011)

    Google Scholar 

  3. Howe, J.: The Rise of Crowdsourcing. Wired, Iss. 14.06 (2006)

    Google Scholar 

  4. Dawson, R.: Crowdsourcing Landscape – Discussion. Crowdsourcingresults (2010), http://crowdsourcingresults.com/ (accessed May 14, 2013)

  5. Stevens, M., D’Hondt, E.: Crowdsourcing of Pollution Data using Smartphones. In: UbiComp 2010, Copenhagen, Denmark (2010)

    Google Scholar 

  6. Dorogovs, P., Romanovs, A.: Modelling and evaluation of IDS capabilities for prevention of possible information security breaches in a Web-based application. In: Proc. of the 14th International Conference on Harbor Maritime and Multimodal Logistics M&S, HMS 2012, pp. 165–170 (2012)

    Google Scholar 

  7. Yerva, S.R., Jeung, H., Aberer, K.: Cloud based Social and Sensor Data Fusion. In: 15th International Conference on Information Fusion (2012)

    Google Scholar 

  8. Boulos, M.N.K., Resch, B., Crowley, D., Breslin, J., Sohn, G., Burtner, R., Pike, W., Jezierski, E., Chuang, K.-Y.S.: Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples. International Journal of Health Geographics 10(1), 67 (2011)

    Article  Google Scholar 

  9. Fraternali, P., Castelletti, A., Soncini-Sessa, R., Ruiz, C.V., Rizzoli, A.E.: Putting humans in the loop: Social computing for Water Resources Management. Environmental Modelling & Software 37, 68–77 (2012)

    Article  Google Scholar 

  10. Durrant-Whyte, H., Henderson, T.C.: Multisensor Data Fusion. In: Sicilliano, B., Oussama, K. (eds.) Springer Hand-book of Robotics, Springer, Heidelberg (2008)

    Google Scholar 

  11. NASA, Report from the Earth Science Technology Office (ESTO) Advanced Information Systems Technology (AIST) Sensor Web Technology Meeting (2008)

    Google Scholar 

  12. GOOS, The Global Ocean Observing System (2013), http://www.ioc-goos.org (accessed July 5, 2013)

  13. Marinexplore: Cutting Ocean Data Processing Time Fivefold. Marine Technology Reporter, no. 11/12, pp. 30–35 (2012)

    Google Scholar 

  14. Fienen, M.N., Lowry, C.S.: Social. Water—A crowdsourcing tool for environmental data acquisition. Computers & Geosciences 49, 164–169 (2012)

    Article  Google Scholar 

  15. Steels, L., Tisseli, E.: Social Tagging in Community Memories. In: Social Information Processing – Papers from the 2008 AAAI Spring Symposium, March 26-28, pp. 98–103. Stanford University (2008)

    Google Scholar 

  16. Ronzhin, A.L., Budkov, V.Y., Karpov, A.A.: Multichannel system of audio-visual support of remote mobile participant at e-meeting. In: Balandin, S., Dunaytsev, R., Koucheryavy, Y. (eds.) ruSMART 2010. LNCS, vol. 6294, pp. 62–71. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  17. Yusupov, R.M., Ronzhin, A.L.: From smart devices to smart space. Herald of the Russian Academy of Sciences 80(1), 63–68 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Romanovs, A., Sokolov, B.V., Lektauers, A., Potryasaev, S., Shkodyrev, V. (2014). Crowdsourcing Interactive Technology for Natural-Technical Objects Integrated Monitoring. In: Ronzhin, A., Potapova, R., Delic, V. (eds) Speech and Computer. SPECOM 2014. Lecture Notes in Computer Science(), vol 8773. Springer, Cham. https://doi.org/10.1007/978-3-319-11581-8_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11581-8_22

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11580-1

  • Online ISBN: 978-3-319-11581-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics