An Intelligent Step to Effective e-Governance in India through E-Learning via Social Networks

R. Nagarathna, R. Manoranjani
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引用次数: 5

Abstract

According to an air quality monitoring surveydone by Greenpeace, India has PM2.5 levels, which is arguablyhigher than safety limits. It is essential to impart environmentaleducation to denizens of India. Previous solutions include usageof Mobile Apps to aid in sharing Air Quality Index as a part of E-Governance initiatives. To aid Government in boosting theefficacy of E-Governance service for pollution control andprovide environmental education, we intend to design anintelligent framework that utilizes social networks. In this paper, we have proposed an automated framework for pollution controlE-Governance service which takes the user profiles on socialnetworks and data collected from Internet of Things (IoT) basedair pollution sensors as input. The prototype utilizes Machinelearning algorithm to avoid human intervention and socialnetworks as a platform to aid in outreaching environmentaleducation to large masses of people.
通过社交网络上的电子学习实现印度有效电子政务的明智一步
根据绿色和平组织进行的一项空气质量监测调查,印度的PM2.5水平可能高于安全限值。有必要传授environmentaleducation印度居民。以前的解决方案包括使用移动应用程序来帮助共享空气质量指数,作为电子政务倡议的一部分。为协助政府提高电子政务服务在控制污染和提供环保教育方面的效能,我们打算设计一个利用社交网络的智能架构。在本文中,我们提出了一个污染控制治理服务的自动化框架,该框架将社交网络上的用户资料和从基于物联网(IoT)的空气污染传感器收集的数据作为输入。该原型利用机器学习算法避免人为干预,并利用社交网络作为平台,帮助将环境教育推广到广大人群。
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