OREA for improving data packet transmission in wireless sensor networks with cloud security mechanism

Kumar, S. Senthil; Thirukrishna, J. T.

doi:10.1504/ijcc.2020.109379

Cited by 5 publications

(2 citation statements)

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“…Their model was implemented by using 50images (20 healthy and 30 Covid infected) with a resolution of 512 × 512 pixels. Their arrangement achieved a performance of 94.32%, accuracy of 99.64% and specificity of 96.13.7% [ 19 , 20 ].…”

Section: Related Workmentioning

confidence: 99%

Survey on Diagnosing CORONA VIRUS from Radiography Chest X-ray Images Using Convolutional Neural Networks

Thirukrishna

Krishna

et al. 2022

Wireless Pers Commun

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Corona Virus continues to harms its effects on the people lives across the globe. The screening of infected persons has to be identified is a vital step because it is a fast and low-cost way. Certain above mentioned things can be recognized by chest X-ray images that plays a significant role and also used for examining in detection of CORONA VIRUS(COVID-19). Here radiological chest X-rays are easily available with low cost only. In this survey paper, Convolutional Neural Network(CNN) based solution that will benefit in detection of the Covid-19 positive patients using radiography chest X-Ray images. To test the efficiency of the solution, using data sets of publicly available X-Ray images of Corona virus positive cases and negative cases. Images of positive Corona Virus patients and pictures of healthy person images are divided into testing images and trainable images. The solution which are providing the good results with classification accuracy within the test set-up. Then GUI based application supports for medical examination areas. This GUI application can be used on any computer and performed by any medical examiner or technician to determine Corona Virus positive patients using radiography X-ray images. The result will be precisely obtaining the Covid-19 Patient analysis through the chest X-ray images and also results may be retrieve within a few seconds.

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Section: Related Workmentioning

confidence: 99%

Survey on Diagnosing CORONA VIRUS from Radiography Chest X-ray Images Using Convolutional Neural Networks

Thirukrishna

Krishna

et al. 2022

Wireless Pers Commun

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“…Remote monitoring framework for supervising various metrics such as Electrocardiogram, pulse rate, SpO2, respiratory rate, and temperature has been designed in [ 20 ]. The data from the sensors is obtained and processed by microcontrollers, the processed information is delivered to smartphone through Wi-Fi module.…”

Section: Related Workmentioning

confidence: 99%

Certain Investigation on Healthcare Monitoring for Enhancing Data Transmission in WSN

Durai

Duraisamy²,

Thirukrishna

2021

Int J Wireless Inf Networks

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Wireless Sensor Networks are often to perform autonomous sensing and controlling the real world objects through the sensor nodes across the globe. Since these sensor nodes are operated by the energy of the battery that has been performed a vital role in deploying a sensor network. Hence, the battery power needs to be minimized to prolong network lifetime for healthcare applications. The monitored data transmission is very important to process in building wireless sensor networks. In order to provide efficient data transmission wireless technology standards are followed as IEEE 802.15.4 standards that provide desirable communication between end to end with optimal routes using the proposed Energy Optimization Algorithm. The proposed algorithm has been improved the data packet transmission efficiency up to 25% and also helps to prolong the life time of Wireless Sensor Networks in order to achieve the efficient data transmission for health care monitoring.

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An Enhanced Information Broadcast in WSN Using Optimized Energy Algorithm for Healthcare

Durai

Duraisamy

Thirukrishna

2022

Innovations in Computer Science and Engineering

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OREA for improving data packet transmission in wireless sensor networks with cloud security mechanism

Cited by 5 publications

References 0 publications

Survey on Diagnosing CORONA VIRUS from Radiography Chest X-ray Images Using Convolutional Neural Networks

Survey on Diagnosing CORONA VIRUS from Radiography Chest X-ray Images Using Convolutional Neural Networks

Certain Investigation on Healthcare Monitoring for Enhancing Data Transmission in WSN

An Enhanced Information Broadcast in WSN Using Optimized Energy Algorithm for Healthcare

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