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TIIS (한국인터넷정보학회)

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한글제목(Korean Title) Automation Monitoring With Sensors For Detecting Covid Using Backpropagation Algorithm
영문제목(English Title) Automation Monitoring With Sensors For Detecting Covid Using Backpropagation Algorithm
저자(Author) Pravin R. Kshirsagar   Hariprasath Manoharan   Vineet Tirth   Mohd Naved   Ahmad Tasnim Siddiqui   Arvind K. Sharma  
원문수록처(Citation) VOL 15 NO. 07 PP. 2414 ~ 2433 (2021. 07)
한글내용
(Korean Abstract)
영문내용
(English Abstract)
This article focuses on providing remedial solutions for COVID disease through the data collection process. Recently, In India, sudden human losses are happening due to the spread of infectious viruses. All people are not able to differentiate the number of affected people and their locations. Therefore, the proposed method integrates robotic technology for monitoring the health condition of different people. If any individual is affected by infectious disease, then data will be collected and within a short span of time, it will be reported to the control center. Once, the information is collected, then all individuals can access the same using an application platform. The application platform will be developed based on certain parametric values, where the location of each individual will be retained. For precise application development, the parametric values related to the identification process such as sub-interval points and intensity of detection should be established. Therefore, to check the effectiveness of the proposed robotic technology, an online monitoring system is employed where the output is realized using MATLAB. From simulated values, it is observed that the proposed method outperforms the existing method in terms of data quality with an observed percentage of 82.
키워드(Keyword) data quality   Intensity of detection   Robotic technology   Wireless sensors  
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