Revista GTI

Vol. 14 No. 40 (2015): Revista GTI
Artículos de Investigación Científica e Innovación

SURVEILLANCE SYSTEM BASED ON QUADRANTS AS SUPPORT IN URBAN POPULATIONS

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  • JORGE E. GÓMEZ,
  • VELSSY L. HERNÁNDEZ,
  • DANIEL J. SALAS
JORGE E. GÓMEZ
UNIVERSIDAD DE CORDOBA - UNICOR
Bio
VELSSY L. HERNÁNDEZ
UNIVERSIDAD DE CORDOBA - UNICOR
Bio
DANIEL J. SALAS
UNIVERSIDAD DE CORDOBA - UNICOR
Bio

Published 2016-11-03

How to Cite

GÓMEZ, J. E., HERNÁNDEZ, V. L., & SALAS, D. J. (2016). SURVEILLANCE SYSTEM BASED ON QUADRANTS AS SUPPORT IN URBAN POPULATIONS. Revista GTI, 14(40), 55–64. Retrieved from https://revistas.uis.edu.co/index.php/revistagti/article/view/5864

Abstract

The purpose of this research is to develop a system capable of processing the data in real time by citizens, which offer risk control and privacy protection and security for urban communities. For this purpose architecture capable of managing the requests of citizens and generate responses from the nearest quadrant design application. The system also has the ability to generate recommendations associated with sites that create risk to people who visit. The results of the system tests showed significantly improved response times of the Police against citizen’s requests. This research was developed under the parameters of the National Plan for Community Surveillance by Quadrants (PNVCC) of the National Police of Colombia.

KEYWORDS: Urban Computing, Urban Security, ubiquitous computing, GPS, QR-Code, recommender system, queuing theory.

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References

  1. ZHENG, Y., CAPRA, L., WOLFSON, O., & YANG, H. (2014). Urban computing: concepts, methodologies, and applications. ACM Transactions on Intelligent Systems and Technology (TIST), 5(3), 38.
  3. KUKKA, H., YLIPULLI, J., LUUSUA, A., & DEY, A. K. (2014, October). Urban computing in theory and practice: towards a transdisciplinary approach. InProceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational (pp. 658-667). ACM.
  4. SATYANARAYANAN, M. (2001). Pervasive computing: Vision and challenges.Personal Communications, IEEE, 8(4), 10-17.
  6. WEISER, M. (1991). The computer for the 21st century. Scientific american,265(3), 94-104.
  7. PAULOS, E., & GOODMAN, E. (2004, April). The familiar stranger: anxiety, comfort, and play in public places. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 223-230). ACM.
  9. SHKLOVSKI, I., & CHANG, M. F. (2006). Guest Editors’ Introduction: Urban Computing--Navigating Space and Context. Computer, (9), 36-37.
  10. CHEN, X., ZHENG, Y., CHEN, Y., JIN, Q., SUN, W., CHANG, E., & MA, W. Y. (2014). Indoor air quality monitoring system for smart buildings. InProceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 471-475). ACM.
  11. UNIVERSITY OF CAMBRIDGE COMPUTER LABORATORY. (2004). A Transport Information Monitoring Environment (TIME): Event Architecture and Context Management (TIMEEACM), disponible en http://www.cl.cam.ac.uk/ users/jmb/TIME-EACM.htm
  12. DJAHEL, S., SALEHIE, M., TAL, I., & JAMSHIDI, P. (2013). Adaptive traffic management for secure and efficient emergency services in smart cities. InPervasive Computing and Communications Workshops (PERCOM Workshops), 2013 IEEE International Conference on (pp. 340-343). IEEE.
  13. YUAN, J., ZHENG, Y., ZHANG, L., XIE, X., & SUN, G. (2011). Where to find my next passenger. In Proceedings of the 13th international conference on Ubiquitous computing (pp. 109-118). ACM.
  14. Okazaki, S., & Matsushita, S. (1993). A study of simulation model for pedestrian movement with evacuation and queuing. In International Conference on Engineering for Crowd Safety (Vol. 271)
  15. CECCATO V., UITTENBOGAARD A,, BAMZAR R. (2013). Security in Stockholm›s underground stations: The importance of environmental attributes and context. Security Journal, vol. 26, no 1, p. 33-59.
  16. Yao, W., He, P., & Xu, S. (2015). P2P & LBS Technology-Based Mobile Police System Design. Journal of Computer and Communications, 3(09), 51.
  17. POLICÍA NACIONAL. (2009). ESTRATEGIA INSTITUCIONAL PARA LA SEGURIDAD CIUDADANA: PLAN NACIONAL DE VIGILANCIA COMUNITARIA POR CUADRANTES (PNVCC), Ediciones Policía Nacional, oficina de planeación, Colombia.
  18. LOPS, P., DE GEMMIS, M., & SEMERARO, G. (2011). Content-based recommender systems: State of the art and trends. In Recommender systems handbook (pp. 73-105). Springer US.
  19. ZHANG, B. W., YIN, X. C., CUI, X. P., QU, J., GENG, B., ZHOU, F. & HAO, H. W. (2014). Social Book Search Reranking with Generalized ContentBased Filtering. In Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (pp. 361-370). ACM.
  20. SHI, Y., LARSON, M., & HANJALIC, A. (2014). Collaborative filtering beyond the user-item matrix: A survey of the state of the art and future challenges. ACM Computing Surveys (CSUR), 47(1), 3.
  21. YI, A. L. C., & KANG, D. K. (2014). Friends-andnative-people-aware approach for Collaborative Filtering. In Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on (pp. 976- 979). IEEE.