Abstract
During these last years, the use of mobile and Web technologies around the world has reached an increasing impact in society and people’s lifestyle, including different places and social classes. Ecuador is a South American country with intense seismic and volcanic activity, where current politics and contingency plans are not optimal, making it necessary to think about a more efficient solution to mitigate this risks and consequences. Considering the growing amount of mobile device users, the reach of mobile networks and combining the risk of situation in which many countries are alike, such as Ecuador. This paper sets the design and development of an early alert infrastructure, through the use of new technologies such as Cloud computing, geolocation, pervasive computing, and Web services. The implemented architecture, and the provided Web service has the objective to improve the evacuation logistic and subsequent rescue work after the occurrence of a natural disaster. The results obtained demonstrate that the use of the system improves to a good extent of the evacuation by reaching to a safe location.
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References
Toulkeridis, T., Mato, F., Toulkeridis-Estrella, K., Pérez, J.C., Tapia, S., Fuertes, W.: Real-Time Radioactive Precursor of the April 16, 2016 MW 7.8 Earthquake and Tsunami in Ecuador. J. Sci. Tsunami Hazards 37(1), 34–48 (2018)
Biljana, R., StojkoskaKire, T.: A review of internet of things for smart home: challenges and solutions. J. Clean. Prod. 140(3), 1454–1464 (2017)
eMarketer: Smartphone Users and Penetration Worldwide 2013–2018, August 2015. https://www.emarketer.com/. Accessed 23 Oct 2017
Rao, B., Louis, M.: Evolution of mobile location-based services. Commun. ACM 43, 61–65 (2003)
Schiller, J., Agnés, V.: Location-Based Services. Elsevier, Oxford (2004)
Vaughan-Nichols, S.: Will mobile computing’s future be location, location, location? IEEE Xplore 42, 14–17 (2009)
Chen, Y., Kobayashi, H.: Signal strength based indoor geolocation. In: de 2002 IEEE International Conference on Communications, Conference Proceedings, ICC 2002 (Cat. No. 02CH37333), New Jersey (2002)
Yang, Z.-D., Guan, M.: Research on precise geolocation model and method using satellite remote sensing. J. Remote Sens. 2(2), 232 (2008)
Arth, C., Pirchheim, C., Ventura, J., Schmalstieg, D., Lepetit, V.: Instant outdoor localisation and slam initialisation from 2.5 d maps. IEEE Trans. Vis. Comput. Graph. 21(11), 1309–1318 (2015)
Hamynen, K.: Displaying network objects in mobile devices based on geolocation. US Patent US8301159 B2, 30 October 2012
Qian, J., Ma, J., Ying, R., Liu, P., Pei, L.: An improved indoor localization method using smartphone inertial sensors. In: de International Conference on Indoor Positioning and Indoor Navigation (2013)
Subbu, K.P., Brandon, G., Ram, D.: Locateme: magnetic-fields-based indoor localization using smartphones. ACM Trans. Intell. Syst. Technol. (TIST) 4(4), 7:31–73:27 (2013)
Kang, W., Han, Y.: SmartPDR: smartphone-based pedestrian dead reckoning for indoor localization. IEEE Sens. J. 15(5), 2906–2916 (2015)
Aydın, B., Gensel, J., Calabretto, S., Tellez, B.: ARCAMA-3D – a context-aware augmented reality mobile platform for environmental discovery. In: Di Martino, S., Peron, A., Tezuka, T. (eds.) W2GIS 2012. LNCS, vol. 7236, pp. 17–26. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-29247-7_2
Noguera, J., Barranco, M., Segura, R., Martínez, L.: A mobile 3D-GIS hybrid recommender system for tourism. Inf. Sci. 215(Suppl. C), 37–52 (2012)
Priandani, N., Tolle, H., Hapsani, A., Fanani, L.: Malang historical tourism guide mobile application based on geolocation. In: de Proceedings of the 6th International Conference on Software and Computer Applications, Bangkok (2017)
Aleksandar, P., Pletl, S., Pejic, S.: An expert system for tourists using Google Maps API. In: de 2009 7th International Symposium on Intelligent Systems and Informatics, Serbia (2009)
Roth, J., Tummala, M., McEachen, J. Scrofani, J., DeGabriele, R.: Maximum likelihood geolocation in LTE cellular networks using the timing advance parameter. In: 10th International Conference on Signal Processing and Communication Systems (ICSPCS), Australia (2016)
Coronato, A., Esposito, M., DePietro, G.: A multimodal semantic location service for intelligent environments: an application for Smart Hospitals. Pers. Ubiquit. Comput. 13(7), 527–538 (2009)
Azizyan, M., Constandache, I., Choudhury, R.: SurroundSense: mobile phone localisation via ambience fingerprinting. In: de 15th Annual International Conference on Mobile Computing and Networking, New York (2009)
Shek, S.: Next-generation location-based services for mobile devices. Comput. Sci. Corp. 1–66 (2010)
Santana, J.M., Wendel, J., Trujillo, A., Suárez, J.P., Simons, A., Koch, A.: Multimodal location based services—semantic 3D city data as virtual and augmented reality. In: Gartner, G., Huang, H. (eds.) Progress in Location-Based Services 2016. LNGC, pp. 329–353. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-47289-8_17
Jones, R., Alizadeh-Shabdiz, F., Morgan, E., Shean, M.: Techniques for computing location of a mobile device using calculated locations of wi-fi access points from a reference database. United States Patente US20170127376 A1 (2017)
Schiller, J., Voisard, A.: Location-Based Services, p. 273. Elsevier, Sebastopol (2004)
Pressman, R.: Practitioner’s Approach. McGraw Hill, New York City (2007)
Acknowledgements
The authors would like to express special recognition to all students and professionals of the Department of Computer Sciences of the Universidad de las Fuerzas Armadas ESPE, who participated actively during the development of this project. Our distinctive recognition to the Distributed Systems, Cybersecurity and Content (RACKLY) Research Group of that University, for their invaluable help, resources, and technical support.
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Terán, D., Rivera, J., Mena, A., Tapia, F., Guerrero, G., Fuertes, W. (2018). Early Alert Infrastructure for Earthquakes Through Mobile Technologies, Web, and Cloud Computing. In: Valencia-García, R., Alcaraz-Mármol, G., Del Cioppo-Morstadt, J., Vera-Lucio, N., Bucaram-Leverone, M. (eds) Technologies and Innovation. CITI 2018. Communications in Computer and Information Science, vol 883. Springer, Cham. https://doi.org/10.1007/978-3-030-00940-3_18
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