Context-Aware Crowd Monitoring with Dynamic Multi-User Tracking Data
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2018-12-09 https://doi.org/10.14419/ijet.v7i4.36.23792 -
Dynamic Data, Dynamic Tracking, Multi User Tracking, Monitoring Small Crowd, Small Group Communication . -
Abstract
 Monitoring small crowd of people as tourists in different country always create recurrence issues to their tour-guides such as someone is lost somewhere, losing important documents and getting sick in the middle of the crowd. Similarly, during the Hajj season, such issues occur while millions of Muslims are gathered in two popular cities, Mecca and Medina, of Saudi Arabia. At the peak of the Hajj season, Mecca is identified as the most crowded place when pilgrims all over the world along with their respective tour-guides known as Mutawwif are resided in the city. Thus, communication between the crowd and their respective tour guides offers useful dynamic multi-user tracking data which is essential for close monitoring purposes. This study explores the usage feasibility of dynamic multi-user tracking data in order to provide a context-aware and simple communication means in the form of mobile application to both pilgrims and Mutawwifs for resolving their recurrence issues. The application can be used by the pilgrims to send current location and purpose for contacting the Mutawwif. At the same time, the Mutawwif is able to locate their respective pilgrims and aware of their pilgrims’ current location and needs. The prototype of the system is developed by using software engineering approach to test the feasibility of using multi-user tracking data in such situation. The prototype has been evaluated and fulfilled the intended requirements for monitoring small crowd. As a conclusion, the prototype offers an alternative for Malaysian Mutawwifs to aware of pilgrims’ issues and track their need and location at real time during Hajj season. Similarly, the pilgrims also can communicate their needs and problems to their respective Mutawwifs.
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References
[1] Alispahic, A. & Donko, D. (2014). Tracking System for GPS Devices and Mining of Spatial Data. Recent Advances in Computer Science and Applications, (pp. 100-104).
[2] Binsalleeh, H., Mohammed, N., Sandhu, P. S., Aljumah, F., & Fung, B. C. (2009, December). Using RFID tags to improve pilgrimage management. In Innovations in Information Technology, 2009. IIT'09. International Conference on (pp. 1-5). IEEE.
[3] Bhat, A., Ardiansyah, H., Ally, S. K., & Ibrahim, J. (2015). Risk Assessment in Hajj Event-Based on Information Leakage. International Journal of Computer Science and Information Security, 13(10), 151.
[4] Brown, D. M., Dwyer, D. B., Robertson, S. J., & Gastin, P. B. (2016). Metabolic power method: Underestimation of energy expenditure in field-sport movements using a global positioning system tracking system. International journal of sports physiology and performance, 11(8), 1067-1073.
[5] Galal, F. (2006, October 6). Rising Number of Missing Pilgrims in Makkah, Retrieved from http://www.arabnews.com/node/290240.
[6] Gautret, P., Benkouiten, S., Sridhar, S., Al-Tawfiq, J. A., & Memish, Z. A. (2015). Diarrhea at the Hajj and Umrah. Travel medicine and infectious disease, 13(2), 159-166.
[7] Hajj (2016, November 20), Retrieved from http://www.religionfacts.com/Hajj.
[8] Kumar, G., Jerbi, H., & O'Mahony, M. P. (2017, August). Towards the Recommendation of Personalised Activity Sequences in the Tourism Domain. In RecTour 2017 2nd Workshop on Recommenders in Tourism. Como, Italy, 27 August 2017. ACM.
[9] Manoharan, S. (2009). On GPS tracking of mobile devices. Fifth International Conference on IEEE (ICNS'09) (pp. 415–418).
[10] Mohandes, M. (2011, June). Pilgrim tracking and identification using the mobile phone. In Consumer Electronics (ISCE), 2011 IEEE 15th International Symposium on (pp. 196-199). IEEE.
[11] Mohandes, M. (2008, May). An RFID-based pilgrim identification system (a pilot study). In Optimization of Electrical and Electronic Equipment, 2008. OPTIM 2008. 11th International Conference on (pp. 107-112). IEEE.
[12] Mohandes, M. (2010). A case study of an RFID-based system for pilgrims identification and tracking. In Sustainable radio frequency identification solutions. InTech.
[13] Moloo, R.K. & Digumber, V.K. (2011). Low-cost mobile GPS tracking solution. IEEE International Conference on Business Computing and Global Informatization (BCGIN 2011) (pp. 516-519).
[14] Olaitan, A. O., Dia, N. M., Gautret, P., Benkouiten, S., Belhouchat, K., Drali, T., ... & Rolain, J. M. (2015). Acquisition of extended-spectrum cephalosporin-and colistin-resistant Salmonella enterica subsp. enterica serotype Newport by pilgrims during Hajj. International journal of antimicrobial agents, 45(6), 600-604.
[15]Omar, N. (2014). Modelling complexities of learner’s in handling web texts via abstract scene analysis. Malaysian Journal of Computing, 2(1), 13-26.
[16] RF Wireless World (2017, June 6), Retrieved from http://www.rfwirelessworld.com/Terminology/Advantages-and-Disadvantages-of-RFID.html.
[17] Shafi, S., Dar, O., Khan, M., Khan, M., Azhar, E. I., McCloskey, B., ... & Petersen, E. (2016). The annual Hajj pilgrimage—minimizing the risk of ill health in pilgrims from Europe and opportunity for driving the best prevention and health promotion guidelines. International journal of infectious diseases, 47, 79-82.
[18] Shah, S. K., & Kulkarni, S. (2015). A Review: Monitoring and Safety of Pilgrims Using Stampede Detection and Pilgrim Tracking. IJRET, 4(7).
[19] Yang, L., Chen, Y., Li, X. Y., Xiao, C., Li, M., & Liu, Y. (2014, September). Tagoram: Real-time tracking of mobile RFID tags to high precision using COTS devices. In Proceedings of the 20th annual international conference on Mobile computing and networking (pp. 237-248). ACM.
[20] Varshney, V., Goel, R. K., & Qadeer, M. A. (2016, July). Indoor positioning system using Wi-Fi & Bluetooth Low Energy technology. In Wireless and Optical Communications Networks (WOCN), 2016 Thirteenth International Conference on (pp. 1-6). IEEE.
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How to Cite
Mustakim hanifa, A., Ameen zulkifli, M., omar, nasiroh, m. Zamani, azmina, & masrom, suraya. (2018). Context-Aware Crowd Monitoring with Dynamic Multi-User Tracking Data. International Journal of Engineering & Technology, 7(4.36), 300-305. https://doi.org/10.14419/ijet.v7i4.36.23792Received date: 2018-12-12
Accepted date: 2018-12-12
Published date: 2018-12-09