Rescuenet: An Integrated Emergency Coordination And Alert System
Keywords:
Disaster, GPS Technology, Agencies, RescueNetAbstract
The disaster response suffers from delayed responses when rescue agencies fail to coordinate appropriately. The main responsibility of RescueNet consists of establishing unified connections between emergency response organizations. Real-time location monitoring capabilities combined with communication features belong to RescueNet to enable several rescue organizations to work together effectively. Users accessing the website find posted details from agencies that show their locations and contacts along with their available resources. RescueNet map functions rely on GPS Technology to show registered agency positions though real-time visual display resulting in better emergency response coordination. This website enables agencies to work together efficiently through emergency response coordination by fixing communication problems that appear in crisis situations. RescueNet functions to protect human existence while minimizing the impacts of emergencies.
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D Shanthi, "Smart Water Bottle with Smart Technology", Handbook of Artificial Intelligence, Benthem Science Publishers, Pg. no: 204-219, 2023
D Shanthi , Smart Healthcare for Pregnant Women in Rural Areas, Medical Imaging and Health Informatics, Wiley Publishers,ch-17, pg.no:317-334, 2022
D. Shanthi, R. K. Mohanty and G. Narsimha, "Application of machine learning reliability data sets", Proc. 2nd Int. Conf. Intell. Comput. Control Syst. (ICICCS), pp. 1472-1474, 2018.
D Shanthi, N Swapna, Ajmeera Kiran and A Anoosha, "Ensemble Approach Of GPACOTPSOAnd SNN For Predicting Software Reliability", International Journal Of Engineering Systems Modelling And Simulation, 2022.
D. Shanthi, "Ensemble Approach of ACOT and PSO for Predicting Software Reliability", 2021 Sixth International Conference on Image Information Processing (ICIIP), pp. 202-207, 2021.
D Shanthi, CH Sankeerthana and R Usha Rani, "Spiking Neural Networks for Predicting Software Reliability", ICICNIS 2020, January 2021, [online] Available: https://ssrn.com/abstract=3769088.
Shanthi, D. (2023). Smart Water Bottle with Smart Technology. In Handbook of Artificial Intelligence (pp. 204-219). Bentham Science Publishers.
D. Shanthi, P. Kuncha, M. S. M. Dhar, A. Jamshed, H. Pallathadka and A. L. K. J E, "The Blue Brain Technology using Machine Learning," 2021 6th International Conference on Communication and Electronics Systems (ICCES), Coimbatre, India, 2021, pp. 1370-1375, doi: 10.1109/ICCES51350.2021.9489075.
Shanthi, D., Aryan, S. R., Harshitha, K., & Malgireddy, S. (2023, December). Smart Helmet. In International Conference on Advances in Computational Intelligence (pp. 1-17). Cham: Springer Nature Switzerland.
Dr. Bhanumathi, Palavali Harsha Sai, Rakesh N, Tribhuvan K, Uday Kiran H, "Rescue Relief Agency Management For Disaster Recovery" 2024 International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) pp. 2581-9429, DOI: 10.48175/IJARSCT-18061.
K. Rahul, S. Raghuveer Goud, M. Lakshmi Narayana, P. Amba bhavani, M. Shravani, "An Application to Report Disasters and Request for Resources", International Journal of Research Publication and Reviews(ijrpr) 2024 pp. 1707-1712, ISSN 2582-7421.
Subasish Mohapatra, Muskan Khedia, Subhadarshini Mohanty, Jijnasee Dash, Harkishen Singh, "RaaS: Rescue Management System for Disaster using Cloud Computing", 2020, DOI: 10.1109/ICCSEA49143.2020.9132859.
Xiaolong Xu, Lei Zhang, Marcello Trovati, Francesco Pal mieri, Eleana Asimakopoulou, Olayinka Johnny, Nik Bessis, “PERMS: An efficient rescue route planning system in disasters”, Published on November 2021.
Punith Kumar M B, Sumanth S, Manikant Amaresh Savadatti, “Internet Rescue Robots for Disaster Management”, Published on 08 April 2021.
ṄMasoud Mohammadi, Farhad Farshad, “Design and Implementation of a Mobile Application for Earthquake Disaster Management”. International Journal of Disaster Risk Reduction, 2020.
Yu-Jun Zheng, Qing-Zhang Chen, Hai-Feng Ling, Jin-Yun Xue, “Rescue Wings: Mobile Computing and Active Services Support for Disaster Rescue”, IEEE, DOI: 10.1109/TSC.2015.2401598
A. Weiser and A. Zipf, "Web service orchestration of OGC web services for disaster management", Geomatics Solutions for Disaster Management, pp. 239-254.
S. Miyama, M. Imai and Y. Anzai, “Rescue robot under disaster situation: Position acquisition with omni-directional sensor”, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems.
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