Employment of IOT Architecture and Genetic Algorithm for Early Diagnosis of Corona Virus Disease (COVID-19)

Q2 Social Sciences

Webology Pub Date : 2022-01-20 DOI:10.14704/web/v19i1/web19137

Ahmed Raee AL-Mhanawi, Alaa Sabeeh Salim, H. A. Rasool, Hayder Makki Sabti

{"title":"Employment of IOT Architecture and Genetic Algorithm for Early Diagnosis of Corona Virus Disease (COVID-19)","authors":"Ahmed Raee AL-Mhanawi, Alaa Sabeeh Salim, H. A. Rasool, Hayder Makki Sabti","doi":"10.14704/web/v19i1/web19137","DOIUrl":null,"url":null,"abstract":"Coronavirus disease (COVID-19) has affected millions of people and thousands have died around the world. Early diagnosis of COVID 19 helps to reduce the spread of COVID-19 which could save many lives. One of the early symptoms of COVID-19 is a high temperature. In poor countries, temperature measurement devices are not available everywhere in the county due to the high cost. Therefore, in this paper, we present a low-cost system to measure the temperature. Our system is designed based on IOT architecture which is represented by Arduino UNO with a DS18B20 temperature sensor. The collected data has been analyzed utilizing a genetic algorithm where it has the ability to analyze and sort huge amounts of data. All the results collected by the Genetic algorithm are stored in the NoSQL database, which is characterized by the high data security and the ability to deal with the big data. We have tested our system with 300 people where 30 suspected persons out of 300 detected with high temperature. The 30 suspected persons have tested positive when they checked with the hospital. Our system is not expensive and easy to manufacturing in labs. At the same time, our system has shown accurate results.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Webology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14704/web/v19i1/web19137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}

引用次数: 0

Abstract

Coronavirus disease (COVID-19) has affected millions of people and thousands have died around the world. Early diagnosis of COVID 19 helps to reduce the spread of COVID-19 which could save many lives. One of the early symptoms of COVID-19 is a high temperature. In poor countries, temperature measurement devices are not available everywhere in the county due to the high cost. Therefore, in this paper, we present a low-cost system to measure the temperature. Our system is designed based on IOT architecture which is represented by Arduino UNO with a DS18B20 temperature sensor. The collected data has been analyzed utilizing a genetic algorithm where it has the ability to analyze and sort huge amounts of data. All the results collected by the Genetic algorithm are stored in the NoSQL database, which is characterized by the high data security and the ability to deal with the big data. We have tested our system with 300 people where 30 suspected persons out of 300 detected with high temperature. The 30 suspected persons have tested positive when they checked with the hospital. Our system is not expensive and easy to manufacturing in labs. At the same time, our system has shown accurate results.

查看原文本刊更多论文

物联网架构和遗传算法在冠状病毒病（新冠肺炎）早期诊断中的应用

冠状病毒疾病（新冠肺炎）已影响全球数百万人，数千人死亡。COVID 19的早期诊断有助于减少新冠肺炎的传播，这可能挽救许多生命。新冠肺炎的早期症状之一是高温。在贫穷国家，由于成本高，该县并非到处都有温度测量设备。因此，在本文中，我们提出了一种低成本的温度测量系统。我们的系统是基于物联网架构设计的，该架构以Arduino UNO和DS18B20温度传感器为代表。利用遗传算法对收集的数据进行了分析，该算法能够分析和排序大量数据。遗传算法收集的所有结果都存储在NoSQL数据库中，具有数据安全性高、能够处理大数据的特点。我们已经对300人进行了系统测试，300人中有30人检测到高温。30名疑似患者在医院检查时检测结果呈阳性。我们的系统并不昂贵，而且易于在实验室中制造。同时，我们的系统显示了准确的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Webology Social Sciences-Library and Information Sciences

自引率

0.00%

发文量

374

审稿时长

10 weeks

期刊介绍： Webology is an international peer-reviewed journal in English devoted to the field of the World Wide Web and serves as a forum for discussion and experimentation. It serves as a forum for new research in information dissemination and communication processes in general, and in the context of the World Wide Web in particular. Concerns include the production, gathering, recording, processing, storing, representing, sharing, transmitting, retrieving, distribution, and dissemination of information, as well as its social and cultural impacts. There is a strong emphasis on the Web and new information technologies. Special topic issues are also often seen.