Advance Geofencing

Authors

  • Prof. Supriya Bhosale  Department of Technology, Kohka, Bhilai, Madhya Pradesh, Maharashtra, India
  • Gajendra Jat  Department of Technology, Kohka, Bhilai, Madhya Pradesh, Maharashtra, India
  • Nitin Dhawas  Department of Technology, Kohka, Bhilai, Madhya Pradesh, Maharashtra, India
  • Om Bafna  Department of Technology, Kohka, Bhilai, Madhya Pradesh, Maharashtra, India
  • Gitesh Patil  Department of Technology, Kohka, Bhilai, Madhya Pradesh, Maharashtra, India
  • Niraj Ingale  Department of Technology, Kohka, Bhilai, Madhya Pradesh, Maharashtra, India

Keywords:

Machine Learning, KNN

Abstract

Geofencing is an important feature in software programs that use Global Positioning System (GPS) or Radio Frequency Identification (RFID) to define geographic boundaries. In fact, the geographical border is a virtual barrier. Geofencing is a new technology that is an online marketplace for related services, allowing users to easily find services of interest, easily sign up for that service, and allow service providers to implement various applications such as e- invoicing, contextual advertising or tourism. information systems, even without additional infrastructure. The main purpose of this study is to understand how the use of spatial information can increase the effectiveness of advertising for consumers. Tracking and monitoring systems based on global satellite navigation services, including geofencing capabilities, can also help determine the location of a company or company and improve sales merchandise and business prospects. It can now be advertised in the market instead of large posters and controlled via smartphones. That's why we created a business strategy that provides geofencing available to everyone and increases the use and integration of related services as a location in daily life.

References

  1. Central Disaster Prevention Council, “Professional investigation meeting about refuge at the time of an accident,” The 4th Professional investigation meeting about refuge at the time of an accident, Jan. 2011
  2. Fujitsu, “Geofencing in iOS with Objective-C,” http://www.fujitsu.com/jp/services/application services/informationmanagement/web- integration/column/column019.html (in Japanese).
  3. Android Developers, “Creating and Monitoring Geofences’. http://developer.android.com/trai
  4. Apple, “Region Monitoring and iBeacon,” https://developer.apple.com/library/ios/documentat CH9-SW1. Advances and Applications in Mathematical Sciences 19, no. 6 (2020): 451-469
  5. Yahoo Weather Disasters, weather.yahoo.co.jp/weather/rss/ (in Japanese)
  6. J. P. Munson, and V. G. Gupta, “Location-based notification as a generalpurpose service,” Proceedings of 2nd International Workshop on Mobile Commerce (WMC ’02), ACM, September 2002, pp. 40-44
  7. P. Szczytowski, ”Geo-fencing based disaster management service,” Agent Technology for Intelligent Mobile Services and Smart Societies, Springer Berlin Heidelberg, 2015, pp. 11-21.
  8. S. Yelne, and V. Kapade, “Human Protection with the Disaster Management Using an Android Application,” International Journal of Scientific Research in
  9. Science, Engineering and Technology (IJSRSET), vol. 1, no. 5, September-October 2015, pp. 15-19.
  10. T. Nakagawa et al., ”Variable interval positioning method for smartphonebased power-saving geofencing,” Proceedings of 2013 IEEE 24th International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), , September 2013, pp. 3482-3486.
  11. M. Alsaqer, B. Hilton, T. Horan, and O. Aboulola, “Performance assessment of geo-triggering in small geo-fences: accuracy, reliability, and battery drain in different tracking profiles and trigger directions,” Procedia Engineering, Elsevier, vol. 107, 2015, pp. 337-348
  12. Kokane, Chandrakant D., and Sachin D. Babar. "Supervised word sense disambiguation with recurrent neural network model." Int. J. Eng. Adv. Technol.(IJEAT) 9.2 (2019).
  13. Kokane, Chandrakant D., Sachin D. Babar, and Parikshit N. Mahalle. "Word Sense Disambiguation for Large Documents Using Neural Network Model." 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2021.
  14. Kokane, Chandrakant, et al. "Word Sense Disambiguation: A Supervised Semantic Similarity based Complex Network Approach." International Journal of Intelligent Systems and Applications in Engineering 10.1s (2022): 90-94.
  15. Kokane, Chandrakant D., et al. "Machine Learning Approach for Intelligent Transport System in IOV-Based Vehicular Network Traffic for Smart Cities." International Journal of Intelligent Systems and Applications in Engineering 11.11s (2023): 06-16.
  16. Kokane, Chandrakant D., et al. "Word Sense Disambiguation: Adaptive Word Embedding with Adaptive-Lexical Resource." International Conference on Data Analytics and Insights. Singapore: Springer Nature Singapore, 2023.

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Published

2023-12-30

Issue

Section

Research Articles

How to Cite

[1]
Prof. Supriya Bhosale, Gajendra Jat, Nitin Dhawas, Om Bafna, Gitesh Patil, Niraj Ingale "Advance Geofencing" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 6, pp.253-257, November-December-2023.