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Pervasive System for Determining the Safe Region Among Obstacles: Mobile Doctor on the Road Case Study

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Multimedia and Network Information Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 506))

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Abstract

Like other many fields, telemedicine has benefited from pervasive and ubiquitous access to knowledge granted by the internet and mobile wireless. Remote monitoring and diseases management are considered as most fasted growing areas within this field. Thanks to mobile communication technologies, humans today are able to provide patient with w better quality life in critical and emergency situations. In such a scenario, the patient needs to reach as soon as possible the health care provider and/or medical institution. To do so, he needs to go by a road without obstacles. In different research reviews, rooting algorithms that have been presented are treating the shortest path, the nearest path. In this paper, we present a new pervasive system able to find the Safe Area without mobile obstacles and impediments based on an incremental algorithm called Safe Region algorithm.

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References

  1. Shahabi, C., Kolahdouzan, M.R., Sharifzadeh, M.: A road network embedding technique for k-nearest neighbor search in moving object databases. GeoInformatica, 94–100 (2002)

    Google Scholar 

  2. Shekhar, S.: Processing in-route nearest neighbor queries: a comparison of alternative approaches. In: GIS’03: Proceedings of the 11th ACM International Symposium on Advances in Geographic Information Systems, pp. 9–16 (2003)

    Google Scholar 

  3. Tao, Y., Papadias, D.: Time-parameterized queries in spatio-temporal databases. In: Proceedings of the 2002 ACM SIGMOD International Conference on Management of data, SIGMOD’02, New York, NY, USA, pp. 334–345 (2002). http://doi.acm.org/10.1145/564691.564730

  4. Papadias, D., Zhang, J., Mamoulis, N., Tao, Y.: Query processing in spatial net-work databases. In: Proceedings of the 29th International Conference on Very Large Data Bases, VLDB’03, vol. 29, pp. 802–813. VLDB Endowment (2003). http://dl.acm.org/citation.cfm?id=1315451.1315520

  5. Kolahdouzan, M., Shahabi, C.: Voronoi-based k nearest neighbor search for spatial network databases. In: VLDB, pp. 840–851 (2004)

    Google Scholar 

  6. Feng, J., Watanabe, T.: Search of continuous nearest target objects along route on large hierarchical road network. In: Proceedings of the 6th, IASTED International Conference on Control and Application, pp. 144–149. Acta Press, Calgary (2004). http://www.jaist.ac.jp/DEWS2003/download/dews2003/2-B/2-B-04.pdf

  7. Kolahdouzan, M., Shahabi, C.: Voronoi-based k nearest neighbor search for spatial network databases. In: Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB’04, vol. 30, pp. 840–851. VLDB Endowment (2004). http://dl.acm.org/citation.cfm?id=1316689.1316762

  8. Papadias, D., Zhang, J., Mamoulis, N., Tao, Y.: Query processing in spatial net-work databases. In: Proceedings of the 29th international conference on Very Large Data Bases, VLDB’03, vol. 29, pp. 802–813. VLDB Endowment (2003). http://dl.acm.org/citation.cfm?id=1315451.1315520

  9. Roussopoulos, N., Kelley, S., Vincent, F.: Nearest neighbor queries. SIGMOD Rec. 24(2), 71–79 (1995). http://doi.acm.org/10.1145/568271.223794

  10. Khayat, M., Akaichi, J.: Incremental approach for continuous k-nearest neighbours queries on road. Int. J. Intell. Inf. Database Syst. 27, 204–221 (2008)

    Google Scholar 

  11. Faiez, H., Akaichi, J.: Pervasive system for searching the appropriate road: a mobile physician on road network case study. In: International Work-Conference on Bioinformatics and Biomedical Engineering, p. 163 (2014)

    Google Scholar 

  12. de Berg, M., Cheong, O., van Kreveld, M., Overmars, M.: Computational Geometry: Algorithms and Applications, 3rd edn. Springer-Verlag TELOS, Santa Clara, CA, USA (2008)

    Google Scholar 

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Correspondence to Hanen Faiez .

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Faiez, H., Akaichi, J. (2017). Pervasive System for Determining the Safe Region Among Obstacles: Mobile Doctor on the Road Case Study. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) Multimedia and Network Information Systems. Advances in Intelligent Systems and Computing, vol 506. Springer, Cham. https://doi.org/10.1007/978-3-319-43982-2_12

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  • DOI: https://doi.org/10.1007/978-3-319-43982-2_12

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  • Print ISBN: 978-3-319-43981-5

  • Online ISBN: 978-3-319-43982-2

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