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Vis Inf  2019, Vol. 3 Issue (2): 81-86    DOI: 10.1016/j.visinf.2019.07.001
论文     
城市计算的准全息计算模型
Baoquan Chena,b, Qiong Zengb, Zhanglin Chengc
aPeking University, China bShandong University, China cShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
Quasi-holography computational model for urban computing
Baoquan Chena,b, Qiong Zengb, Zhanglin Chengc
aPeking University, China bShandong University, China cShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
 全文: PDF 
摘要: 随着智慧城市和城市计算技术的发展,产生了大量的数据。这些数据来自多个传感器,通常为异质结构,对应高度分散的连接方式。面对城市计算中更复杂的任务,需要集成的数据表示和智能计算模型。为此我们深入研究两个基本问题:


–我们能否为整个信息-物理社会系统提供集成的数据表示?

此外,我们能否提供一个综合框架来选择合适的数据以理解某一具体的城市事件?


为了解决这些问题,我们提出了全息数据表示和准全息计算模型。提供了准全息计算模型的案例研究,并讨论了该模型有待进一步解决的问题。
关键词: 全息模型城市数据表示    
Abstract: Vast amounts of data are produced with the development of smart cities and urban computing technologies. The data is often captured from multiple sensors, with heterogeneous structures and highly decentralized connections.Integrated data representation and smart computational models are required for more complex and tasks in urban computing. We dwell deeply on two fundamental questions – can we provide an integrated data representation for the whole cyber-physical social system? And, can we provide an integrated framework to choose the appropriate data for understanding a specific urban event? A holography data representation and the quasi-holography computational model have been proposed to address these problems. We describe case studies using the quasi-holography computational model, and discuss further problems to solve regarding our model.
Key words: Holography model    Urban data representation
出版日期: 2019-07-18
通讯作者: Baoquan Chen     E-mail: baoquan@pku.eud.cn
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引用本文:

Baoquan Chen, Qiong Zeng, Zhanglin Cheng. Quasi-holography computational model for urban computing. Vis Inf, 2019, 3(2): 81-86.

链接本文:

http://www.zjujournals.com/vi/CN/10.1016/j.visinf.2019.07.001        http://www.zjujournals.com/vi/CN/Y2019/V3/I2/81

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