Substantial Phase Exploration for Intuiting Covid using form Expedient with Variance Sensor
DOI:
https://doi.org/10.15837/ijccc.2022.3.4539Keywords:
Wireless sensors, COVID, Energy consumption, Angle of inclination, Internet of Things (IoT)Abstract
This article focuses on implementing wireless sensors for monitoring exact distance between two individuals and to check whether everybody have sanitized their hands for stopping the spread of Corona Virus Disease (COVID). The idea behind this method is executed by implementing an objective function which focuses on maximizing distance, energy of nodes and minimizing the cost of implementation. Also, the proposed model is integrated with a variance detector which is denoted as Controlled Incongruity Algorithm (CIA). This variance detector is will sense the value and it will report to an online monitoring system named Things speak and for visualizing the sensed values it will be simulated using MATLAB. Even loss which is produced by sensors is found to be low when CIA is implemented. To validate the efficiency of proposed method it has been compared with prevailing methods and results prove that the better performance is obtained and the proposed method is improved by 76.8% than other outcomes observed from existing literatures.
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[6] J. Peng, J. Shen, and X. Li, High-order energies for stereo segmentation, IEEE Trans. Cybern., vol. 46, no. 7, pp. 1616-1627, Jul. 2016. https://doi.org/10.1109/TCYB.2015.2453091
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[30] F. Guo et al., "Video Saliency Detection Using Object Proposals," in IEEE Transactions on Cybernetics, vol. 48, no. 11, pp. 3159-3170, Nov. 2018, doi: 10.1109/TCYB.2017.2761361. https://doi.org/10.1109/TCYB.2017.2761361
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[32] Yuming Fang, Xiaoqiang Zhang, Feiniu Yuan, NevrezImamoglu, Haiwen Liu, Video saliency detection by gestalt theory, Pattern Recognition, Volume 96,2019,106987, ISSN 0031-3203. https://doi.org/10.1016/j.patcog.2019.106987
[33] https://docs.microsoft.com/en-us/cpp/build/reference/clr common language runtime compilation? View = msvc-160
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