The Prediction of the Critical Condition for a Weak Entity Using Fuzzy System
Keywords:
Machine Learning (ML), Body parameters, Critical condition, Woman, SecurityAbstract
There is huge technological advancement in India in most of the sectors. Security of the woman is always a crucial factor. Only few percentages of the woman harassment cases are reported, out of happened. Looking at harassment statistics in the year 2021, we can say they are unable to ask for help and not able to use the facility. The reason can be woman can’t take any action manually whenever they able to recognize the critical condition, may be due to mental pressure. Currently electronic gadgets like smart watches are available in the market, which keep on measuring body parameters runtime. These observations can be used to identify the critical condition automatically. The challenge is changes in the body parameters during critical conditions cannot be monitored. Machine learning technique fuzzy system is proposed here to analyse the body parameters recorded. It ignores the normal condition based on the dataset feed and predict abnormal condition.
Downloads
References
Sanyukta Kanwal, “Women harassment cases in India 2021, by major city,” 2023. [Online]. Available: https://www.statista.com/statistics/633412/reported-cases-women-harassmen-india/1/4Source:https://www.statista.com/statistics/633412/reported-cases-women-harassmen-india/
K. Seelam and K. Prasanti, “A novel approach to provide protection for women by using smart security device,” Proc. 2nd Int. Conf. Inven. Syst. Control. ICISC 2018, pp. 351–357, Jun. 2018, doi: 10.1109/ICISC.2018.8399093.
P. Ghosh et al., “Smart Security Device for Women Based on IoT Using Raspberry Pi,” Int. Conf. Robot. Electr. Signal Process. Tech., pp. 57–60, 2021, doi: 10.1109/ICREST51555.2021.9331174.
“Top 10 safety websites that women must know about | Latest News Delhi - Hindustan Times.” https://www.hindustantimes.com/delhi/top-10-safety-websites-that-women-must-know-about/story-INkzym2QOi41Z2oXmQ4dkK.html (accessed Mar. 03, 2023).
“Women’s Day 2022: 5 Best Women’s Safety Apps In India | Cashify Blog.” https://www.cashify.in/womens-day-top-safety-apps (accessed Mar. 03, 2023).
S. A. Bankar, K. Basatwar, P. Divekar, P. Sinha, and H. Gupta, “Foot Device for Women Security,” Proc. 2nd Int. Conf. Intell. Comput. Control Syst. ICICCS 2018, pp. 345–347, Mar. 2019, doi: 10.1109/ICCONS.2018.8662947.
K. Sharma, A. More, and M. Tech, “Advance Woman Security System based on Android,” IJIRST-International J. Innov. Res. Sci. Technol., vol. 2, 2016, [Online]. Available: www.ijirst.org
S. Varade, M. Itnare, H. Parande, M. Sonawane, and R. Bhardwaj, “International Journal on Recent and Innovation Trends in Computing and Communication Advanced Women Security System Based on IOT”, [Online]. Available: http://www.ijritcc.org
“Android App developed by Canvas M Technologies 26 June, 2013 ‘FIGHTBACK’,.” http://www.fightbackmobile.com
“Android App developed by Think MPI Consulting Private Limited, ”VithUApp”.”
D. G. Monisha, M. Monisha, G. Pavithra, and R. Subhashini, “Women safety device and application-FEMME,” Indian J. Sci. Technol., vol. 9, no. 10, Mar. 2016, doi: 10.17485/ijst/2016/v9i10/88898.
S. Dave, S. D. Purohit, R. Agarwal, A. Jain, D. Sajnani, and S. Soni, “Smart Lady E-wearable Security System for Women Working in the Field,” Lect. Notes Data Eng. Commun. Technol., vol. 61, pp. 511–525, 2021, doi: 10.1007/978-981-33-4582-9_40/COVER.
M. Naved, A. H. Fakih, A. N. Venkatesh, A. Vani, P. Vijayakumar, and P. R. Kshirsagar, “Artificial intelligence based women security and safety measure system,” in AIP Conference Proceedings, American Institute of Physics Inc., May 2022. doi: 10.1063/5.0074211.
M. A. Vidhyavani, T. N. Reddy, A. Mallampati, and S. Alagiri, “WOMEN SECURITY SAFETY SYSTEM USING AI”, [Online]. Available: www.irjmets.com
E. Roy, “News: Crime against women rose by 15.3% in 2021: NCRB,.” [Online]. Available: https://indianexpress.com/ on 24 Marc 2023
S. Sarkar and H. Ranganathan, “Detection of Human Fear using Physical Parameters-An Analytical Approach,” 2017. [Online]. Available: http://www.ripublication.com
D. Hermans, M. G. Craske, S. Mineka, and P. F. Lovibond, “Extinction in Human Fear Conditioning,” Biol. Psychiatry, vol. 60, no. 4, pp. 361–368, 2006, doi: 10.1016/j.biopsych.2005.10.006.
S. Michael, R. Sarah, M. S. Fanselow, and S. R. Sterlace, “Function , Cause , and Treatment,” 2014.
P. C. Daniel M. L. Vianna, “Changes in cutaneous and body temperature during and after conditioned fear to context in the rat,” Fed. Eur. Neurosci. Soc., vol. 21, no. 9, pp. 2505–2512, 2005, doi: doi.org/10.1111/j.1460-9568.2005.04073.x.
W. E. Contributors, “Your Heart Rate.”
L. D. C. S. Subhashini, Y. Li, J. Zhang, and A. S. Atukorale, “Integration of fuzzy logic and a convolutional neural network in three-way decision-making,” Expert Syst. Appl., vol. 202, p. 117103, 2022, doi: https://doi.org/10.1016/j.eswa.2022.117103.
F. A. Muqtadiroh, T. Usagawa, R. D. Rachmayanti, S. M. S. Nugroho, E. M. Yuniarno, and M. H. Purnomo, “Rules Determination Based on Time-Series Data to Classify Unsupervised Cases Based on Fuzzy Expert System,” Int. J. Intell. Eng. Syst., vol. 16, no. 3, pp. 258–268, 2023, doi: 10.22266/ijies2023.0630.20.
Ö. Ciftcioglu, M. S. Bittermann, and I. S. Sariyildiz, “A neural fuzzy system for soft computing,” Annu. Conf. North Am. Fuzzy Inf. Process. Soc. - NAFIPS, pp. 489–495, 2007, doi: 10.1109/NAFIPS.2007.383889.
L. A. Z. Bernadette Bouchon-MeunierRonald R Yager, Ed., Fuzzy Logic and Soft Computing, Advances i. University of California, Berkeley, USA, 1995. doi: doi.org/10.1142/2829.
N. K. V. et. al. Sharma, Arun K, Vikas, Singh, “Condition Based Monitoring of Machine Using Mamdani Fuzzy Network,” in Conference: 2018 Prognostics and System Health Management Conference, Chongqing, China: IEEE, 2018. doi: 10.1109/PHM-Chongqing.2018.00204.
Dhabliya, D. Delay-Tolerant Sensor Network (DTN) Implementation in Cloud Computing (2021) Journal of Physics: Conference Series, 1979 (1), art. no. 012031,
Keerthi, R.S., Dhabliya, D., Elangovan, P., Borodin, K., Parmar, J., Patel, S.K. Tunable high-gain and multiband microstrip antenna based on liquid/copper split-ring resonator superstrates for C/X band communication (2021) Physica B: Condensed Matter, 618, art. no. 413203, .
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
