{"title":"Robotics data real-time management based on NoSQL solution","authors":"Afef Gueidi, H. Gharsellaoui, S. Ahmed","doi":"10.1109/ICIS.2017.7959982","DOIUrl":null,"url":null,"abstract":"In nowadays, robotics database management systems are increasing. These systems ensure good storage of data and with big data analytic, a new approach demands new structures and methods for collecting, recording, and analyzing enterprise data. This paper work deals with the NoSQL databases which are the secret of the continual progression data that new data management solutions have been emerged. They crossed several areas as personalization, profile management, big data in real-time, content management, catalogue, view of customers, mobile applications, internet of things, digital communication and fraud detection. Machine learning, for example, thrives on more data, so smart machines can learn more and faster, the Robotics are our use of case to focus on our Test. The implementation of NoSQL for Robotics wrestle all the data they acquire into usable form because with the ordinary type of Robotics we are facing very big limits to manage and find the exact information in real-time. Our original proposed approach was demonstrated by experimental studies and running example used as a use case.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2017.7959982","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In nowadays, robotics database management systems are increasing. These systems ensure good storage of data and with big data analytic, a new approach demands new structures and methods for collecting, recording, and analyzing enterprise data. This paper work deals with the NoSQL databases which are the secret of the continual progression data that new data management solutions have been emerged. They crossed several areas as personalization, profile management, big data in real-time, content management, catalogue, view of customers, mobile applications, internet of things, digital communication and fraud detection. Machine learning, for example, thrives on more data, so smart machines can learn more and faster, the Robotics are our use of case to focus on our Test. The implementation of NoSQL for Robotics wrestle all the data they acquire into usable form because with the ordinary type of Robotics we are facing very big limits to manage and find the exact information in real-time. Our original proposed approach was demonstrated by experimental studies and running example used as a use case.
目前,机器人数据库管理系统越来越多。这些系统确保了数据的良好存储,而随着大数据分析的发展,一种新的方法需要新的结构和方法来收集、记录和分析企业数据。本文研究的是NoSQL数据库,它是数据持续发展的秘密,新的数据管理解决方案已经出现。他们跨越了个性化、个人资料管理、实时大数据、内容管理、目录、客户视图、移动应用程序、物联网、数字通信和欺诈检测等多个领域。例如,机器学习需要更多的数据,所以智能机器可以学得更多更快,机器人技术是我们专注于测试的用例。NoSQL for Robotics的实现将他们获得的所有数据转换为可用的形式,因为对于普通类型的机器人,我们在实时管理和查找精确信息方面面临着很大的限制。我们最初提出的方法通过实验研究和作为用例使用的运行示例来证明。