美国明尼苏达代写Assignment 智慧城市

2020-02-13 09:03

顾名思义，智慧城市是指城市发展得非常聪明，以一种组织良好的方式来处理其人口和资源。因此，智慧城市被设计成一个使用不同类型的电子数据收集传感器来提供信息的城市区域，这些信息被用来有效地管理资产和资源。现在说到数据，我们脑海中浮现的问题是这些数据从何而来，以及这些数据如何协同帮助我们为智慧城市打下坚实的基础。答案是相同的，这些数据来自公民、设备和资产，这些数据经过处理和分析，用于监控和管理交通和运输系统、发电厂、供水网络、废物管理、执法、信息系统、学校、图书馆、医院和其他社区服务。智能城市基本上是信息和通信技术以及连接到网络的几个物理设备的集成。因此，我们可以说，智能城市技术允许城市官员直接与伟大的城市基础设施互动，以及社区监控城市活动及其演变。数据分析在应对这一挑战中扮演着最重要的关键角色。数据分析应用包括收集、集成和准备由传感器、工程系统和物理资产产生的与时间和空间相关的数据，然后开发和测试用于验证结果准确性的分析模型。在这幅图中有几个范例与之相关包括模式识别，机器学习和统计，智能数据库和知识获取，可视化数据，性能计算等等。因此，这包含了大数据分析的新概念，用于解释智能城市及其海量数据。
美国明尼苏达代写Assignment 智慧城市
Smart Cities as the name suggests is basically the city that is developed so smartly to handle its population and resources in a well-organised form. So, a smart city is designed as an urban area that uses different types of electronic data collection sensors to supply information which is used to manage assets and resources efficiently. Now coming to the data, the question that arises straight to our mind is from where this data is collected from and how does it collaboratively help to develop a strong foundation for the smart city. Well, an answer for same will be this data comes from citizens, devices, and assets that are processed and analysed to monitor and manage traffic and transportation systems, power plants, water supply networks, waste management, law enforcement, information systems, schools, libraries, hospitals, and other community services. The Smart City is basically an integration of information and communication technology and also the several physical devices that are connected to the network. So, we can say that a smart city technology allows the city officials to interact directly with the great city infrastructure and as well as the community to monitor the city activities and its evolution.Data Analytics pay a most important key role in tackling this challenge. Data analytics applications involve collecting, integrating and preparing time and space dependent data produced by sensors, engineered systems and physical assets followed by developing and testing the analytical models for verifying the accuracy of results.And with this being in the picture there are several paradigms that are associated with it being pattern recognition, machine learning and statistics, Intelligent Databases and knowledge acquisition, visualizing data, performance computing and much more. Thus, this embraces the very new concept of Big Data Analytics for the interpretation of the smart cities and its massive amount of data.

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