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Ambient Intelligence - Software and Applications pp 125–133Cite as

Mobile Crowd Sensing for Solidarity Campaigns

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 376))

Abstract

We present an ongoing project (This work is partially supported by the InfoCrowds project-PTDC/ECM-TRA/1898/2012 This work is supported by CISUC, via national funding by the FCT - Fundação para a Ciência e Tecnologia.) which has two separate strands, one refers to the technological study about the applicability of high performance and high availability technologies in Web Services and the other is directed to a practical application of these technologies to solidarity campaigns in collecting goods. The focus of this paper is in the first one, a technological study where several frameworks for building Web Services, databases of different types and libraries to assist in obtaining product codes (barcodes) and data are analyzed, this includes a study of performance, availability and reliability, as well as appraisals for each one. Besides this, we introduce an experimental setup and results obtained so far in a third sector institution, Caritas Diocesana of Coimbra (http://www.caritas.pt/site/nacional/ Portuguese Website (last visited in March 2015)), a non-profit organization part of Caritas (http://www.caritas.eu/ (last visited in March 2015)). As main contribution, we propose a distributed architecture for Mobile Crowd Sensing able not only to allow real time inventory through simultaneous campaigns but also it gives feedback to volunteers in order to instantly acquire information about which categories of goods are more needed.

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Notes

  1. 1.

    http://www.foursquare.com (last visited in March 2015).

  2. 2.

    http://upcdatabase.org/ (last visited in March 2015).

  3. 3.

    News about worldwide campaigns (http://www.eurofoodbank.eu/portail/index.php?option=com_content&view=article&id=226 and http://food.caritas.org/pope-urges-catholics-to-join-caritas-week-of-action-to-end-hunger/ last visited in March 2015).

  4. 4.

    http://localreuse.org/ (last visited in March 2015).

  5. 5.

    http://kenobi.dei.uc.pt:8080 where the user can download the Mobile App and interact with the Crowd Sensing Platform (last visited in March 2015).

  6. 6.

    International Article Number (originally European Article Number).

  7. 7.

    https://github.com/Adaptv/ribs2 (last visited in March 2015).

  8. 8.

    http://vertx.io/ (last visited in March 2015).

  9. 9.

    http://netty.io/ (last visited in March 2015).

  10. 10.

    http://tomcat.apache.org/ (last visited in March 2015).

  11. 11.

    https://github.com/eventmachine/eventmachine (last visited in March 2015).

  12. 12.

    http://nodejs.org (last visited in March 2015).

  13. 13.

    http://www.mongodb.org (last visited in March 2015).

  14. 14.

    http://cassandra.apache.org/ (last visited in March 2015).

  15. 15.

    http://www.gs1.org/ (last visited in March 2015).

  16. 16.

    com.google.zxing.client.android (last visited in March 2015).

  17. 17.

    com.scandit.demoapp (last visited in March 2015).

  18. 18.

    com.longinus.projrbandevida (last visited in March 2015).

References

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Author information

Authors and Affiliations

  1. Polytechnic Institute of Coimbra, Coimbra, Portugal

    Ana Alves & David Silva

  2. Centre of Informatics and Systems, University of Coimbra, Coimbra, Portugal

    Ana Alves

Authors
  1. Ana Alves
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  2. David Silva
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Corresponding author

Correspondence to Ana Alves .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering Department, Qatar University, College of Engineering, Doha, Qatar

    Amr Mohamed

  2. Departamento de Informatica, ALGORITMI Centre, University of Minho, Braga, Portugal

    Paulo Novais

  3. Escola Superior de Tecnologia e Gestäo de Leiria, Instituto Politécnico de Leiria, Leiria, Portugal

    António Pereira

  4. Departamento de Informática y Automática, University of Salamanca, Salamanca, Spain

    Gabriel Villarrubia González

  5. Departamento de Sistemas Informáticos, University of Castilla-La Mancha, Albacete, Spain

    Antonio Fernández-Caballero

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© 2015 Springer International Publishing Switzerland

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Alves, A., Silva, D. (2015). Mobile Crowd Sensing for Solidarity Campaigns. In: Mohamed, A., Novais, P., Pereira, A., Villarrubia González, G., Fernández-Caballero, A. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing, vol 376. Springer, Cham. https://doi.org/10.1007/978-3-319-19695-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-19695-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19694-7

  • Online ISBN: 978-3-319-19695-4

  • eBook Packages: EngineeringEngineering (R0)

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