英国诺丁汉论文代写 人口比例在增加

2020-02-13 09:02

地球上的人口比例在增加，随着人口的增加，人口从一个地区迁移到另一个地区，尤其是前城市形态向城市形态的迁移。随之而来的是更发达的基础设施的动力，维护它们的积极方法和更多的机会，我们称之为智慧城市。智慧城市的启动主要依赖于收集和管理正确的数据类型，分析模式和优化系统功能。这里附加的基本元素是大量的数据和分析数据的过程。现在，随着人口的增长，他们的需求和巨大的经济基础设施同样需要非常明智地、有效地和高效地处理每一点，这可能需要一个更聪明的方式为智慧城市。我们注意到，政府和这些公司正在利用数十亿美元的公共和私人资金来建设智能城市。因此，在第一部分中，我们将关注什么是智能城市，以及为什么我们需要为此进行数据分析。在第二部分中，我们重点讨论了数据分析的采用和影响。关注的焦点是各种智能城市属性的自动化数据分析框架，如车辆交通控制、洪水分析、智能住宅及其水和能源消耗和城市停车场管理的数据分析。英国诺丁汉论文代写 人口比例在增加最后，我们将看到智能城市数据分析面临的一些主要挑战，包括隐私问题、安全问题和多样性问题。我们还将关注研究人员解决这些问题的方法，这些方法可以在目前和未来的研究中实施，以减少这些问题。
英国诺丁汉论文代写 人口比例在增加
The Proportion of this globe is increasing and with this increase what’s increasing is the movement of this population from one area to another, especially the movement of pre-urban to urban forms. With this comes the motivation of more developed infrastructure, motivated methodologies to maintain them and greater opportunities together attributed as what we call as a smart city. Smart city initiatives are mainly dependent on the collection and management of the right kind of data, analysis of pattern and optimization of system functioning. The additional fundamental elements here are the large volume of data and the process of examining it that is Data Analytics.Now with Increasing population, their needs and giant economic infrastructure for same calls for handling every bit of it very wisely, effectively and efficiently which requires a probable smarter way for the smart city. We observe that the government and the companies are leveraging billions of dollars in public and private funds for smart cities. So, in the First part we are focussing on What are Smart Cities and why do we need data analytics for it. In the second part, we have focussed on the adoption and impact of data analytics. The things in focus that are automated Data analytics frameworks for various smart city attributes like Vehicle Traffic control, Flood analysis, Smart homes and their water and energy consumptions and Parking lot Management in cities by Data Analytics. At last, we will see some major challenges faced by Data Analytics in Smart Cities including Privacy Issues, Security Issues and Variety Issues.We will also focus on researchers solutions for these issues that could be implemented in the present and future research to diminish such issues .the interpretation of the huge amount of information is provided by emerging testing and the monitoring systems.

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