Overcrowding detection in indoor events using scalable technologies-Reference-Cited by-同舟云学术

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Overcrowding detection in indoor events using scalable technologies

Published:2017-02-17 Issue:3 Volume:21 Page:507-519
ISSN:1617-4909
Container-title:Personal and Ubiquitous Computing
language:en
Short-container-title:Pers Ubiquit Comput

Author:

Lopez-Novoa Unai,Aguilera Unai,Emaldi Mikel,López-de-Ipiña Diego,Pérez-de-Albeniz Iker,Valerdi David,Iturricha Ibai,Arza Eneko

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Computer Science Applications,Hardware and Architecture

Link

http://link.springer.com/article/10.1007/s00779-017-1012-6/fulltext.html

Reference24 articles.

1. Abdul Rasheed MM (2013) Fedora commons with apache hadoop: a research study. Code Lib J 22. http://journal.code4lib.org/articles/8988

2. Barbera MV, Epasto A, Mei A, Perta VC, Stefa J (2013) Signals from the crowd: uncovering social relationships through smartphone probes. In: Proceedings of the 2013 conference on internet measurement conference, IMC ’13, ACM, New York, NY, pp 265–276

3. Bettstetter C, Resta G, Santi P (2003) The node distribution of the random waypoint mobility model for wireless ad hoc networks. IEEE Trans Mobile Comput 2(3):257–269

4. Cassavia N, Dicosta P, Masciari E, Sacca D (2015) Improving tourist experience by big data tools. In: 2015 international conference on high performance computing simulation (HPCS), pp 553–556

5. Dean J, Ghemawat S (2008) Mapreduce: simplified data processing on large clusters. Commun ACM 51(1):107–113

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