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.
http://www.foursquare.com (last visited in March 2015).
- 2.
http://upcdatabase.org/ (last visited in March 2015).
- 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.
http://localreuse.org/ (last visited in March 2015).
- 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.
International Article Number (originally European Article Number).
- 7.
https://github.com/Adaptv/ribs2 (last visited in March 2015).
- 8.
http://vertx.io/ (last visited in March 2015).
- 9.
http://netty.io/ (last visited in March 2015).
- 10.
http://tomcat.apache.org/ (last visited in March 2015).
- 11.
https://github.com/eventmachine/eventmachine (last visited in March 2015).
- 12.
http://nodejs.org (last visited in March 2015).
- 13.
http://www.mongodb.org (last visited in March 2015).
- 14.
http://cassandra.apache.org/ (last visited in March 2015).
- 15.
http://www.gs1.org/ (last visited in March 2015).
- 16.
com.google.zxing.client.android (last visited in March 2015).
- 17.
com.scandit.demoapp (last visited in March 2015).
- 18.
com.longinus.projrbandevida (last visited in March 2015).
References
H. Rheingold, Smart Mobs: The Next Social Revolution (Basic Books, New York, 2002)
F. Ye, R.K. Ganti, H. Lei, Mobile crowdsensing: current state and future challenge. IEEE Commun. Mag. 49(11), 32–39 (2011)
D. Estrin, M. Hansen, A. Parker, N. Ramanathan, S. Reddy, M.B. Srivastava, J. Burke, Participatory sensing. in Workshop on World- Sensor-Web, ACM SenSys (2006)
T. Silvasti, G. Riches, First World Hunger Revisited: Food Charity or the Right to Food?, 2nd edn. (Palgrave Macmillan, Hampshire, 2014), pp. 72–86
A. Liang, L. Biderman, A. Ratti, C. Pereira, F. Oliveirinha, J. Gerber, A. Vaccari, A holistic framework for the study of urban traces and the profiling of urban processes and dynamics. in 12th International IEEE Conference on Intelligent Transportation Systems (2009)
F. Rodrigues et al., Estimating disaggregated employment size from points-of-interest and census data: from mining the web to model implementation and visualization. in International Journal on Advanced Intelligent Systems, vol. 7 (2013)
W. Chen, T. Givens, Mobile donation in America. Mob. Media Commun. 1(2), 196–212 (2013). doi:10.1177/2050157913476028
CITEK, Lyon, France (2014, September), http://www.yourinnovationday.eu/wp-content/uploads/2014/10/Presentation-CARITAS.pdf
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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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