{"title":"Design of Automatic Key Finder for Search Engine Optimization in Internet of Everything","authors":"G. Khekare, Pushpneel Verma","doi":"10.1109/ICCE50343.2020.9290669","DOIUrl":null,"url":null,"abstract":"Technology is advancing day by day. Automation is playing an important role. Internet of Everything (IoE) has emerged as a key technology that enables everything to be connected through the internet. In every field Internet of everything is generating a vast amount of data like health system, traffic system, smart city monitoring system, education system, social networking sites, government organizations, etc. So to handle this huge amount of data, a system is required through which it becomes easier to track, analyze, handle, and apply that data in a better way. A unique system is proposed in this article through which important keys are identified. From those keys, desired data can be retrieved quickly and efficiently. The proposed system uses the entire new process to get the desired output. The k-means clustering with a modified entire process is used. By using natural language processing the data is accessed by the voice command. Through simulation results, it is proved that the proposed system has given better results and the searching process becomes smoother and efficient.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE50343.2020.9290669","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Technology is advancing day by day. Automation is playing an important role. Internet of Everything (IoE) has emerged as a key technology that enables everything to be connected through the internet. In every field Internet of everything is generating a vast amount of data like health system, traffic system, smart city monitoring system, education system, social networking sites, government organizations, etc. So to handle this huge amount of data, a system is required through which it becomes easier to track, analyze, handle, and apply that data in a better way. A unique system is proposed in this article through which important keys are identified. From those keys, desired data can be retrieved quickly and efficiently. The proposed system uses the entire new process to get the desired output. The k-means clustering with a modified entire process is used. By using natural language processing the data is accessed by the voice command. Through simulation results, it is proved that the proposed system has given better results and the searching process becomes smoother and efficient.
科技日新月异。自动化正在发挥重要作用。万物互联(Internet of Everything, IoE)已经成为一项通过互联网连接万物的关键技术。在每一个领域,万物互联都在产生大量的数据,比如医疗系统、交通系统、智慧城市监控系统、教育系统、社交网站、政府机构等。因此,为了处理如此庞大的数据,需要一个系统,通过它可以更容易地跟踪、分析、处理和更好地应用这些数据。本文提出了一个唯一的系统,通过它可以识别重要的密钥。从这些键中,可以快速有效地检索所需的数据。提出的系统使用整个新过程来获得期望的输出。采用k-means聚类方法对整个过程进行了改进。通过使用自然语言处理,通过语音命令访问数据。仿真结果表明,该系统具有较好的搜索效果,搜索过程更加流畅、高效。