A Real-Time, Distributed and Context-Aware System for Managing Solidarity Campaigns

Authors

Ana Cristina da Costa Oliveira Alves
Tiago Dias
David Silva

Abstract

We present a project implemented on the field which has two separate strands, one refers on collecting crowd sensing data through mobile apps where context is (near) automatically induced, another is related to a practical application of this method in a real time system to manage solidarity campaigns in collecting goods. Here, we cover both parts, we applied an experimental setup and obtained results and insights in a third sector institution, Caritas Diocesana of Coimbra[1], a non-profit organization part of Caritas[2]. 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

[1] http://www.caritas.pt/site/nacional/ Portuguese Website (last visited in October 2015)

[2] http://www.caritas.eu/ (last visited in October 2015)

Keywords

Crowd sensing; distributed systems; system integration

Journal

ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, Vol. 4, #2, Universidad de Salamanca, December 2015

DOI

Cited by

Year 2019 : 7 citations

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Corchado Rodríguez, J. M. (2019) From the cloud to the Edge computing using AI, IoT and Blockchain. 7th International Engineering Sciences and Technology Conference (IESTEC), Panama, 9th-11th October 2019

Pinzón Trejos, C., & Cuevas Badallo, A. (2019) Knowledge extraction and representation. Ediciones Universidad de Salamanca

Corchado Rodríguez, J. M. (2019) Cybersecurity in Industry 4.0: edge computing and deep AI for global data analysis. The International Conference on Cyber Security for Emerging Technologies 2019, 27-29 October 2019, Qatar University,
Doha, Qatar