• Corpus ID: 7218494

A Computing Perspective on Smart City

@inproceedings{Wang2016ACP,
  title={A Computing Perspective on Smart City},
  author={Lizhe Wang and Shiyan Hu and Gilles Betis and Rajiv Ranjan},
  year={2016}
}
DEVELOPING smart city is the key to the next generation urbanization process for improving the efficiency, reliability, and security of a traditional city. The concept of smart city includes various aspects such as environmental sustainability, social sustainability, regional competitiveness, natural resources management, cybersecurity, and quality of life improvement. With the massive deployment of networked smart devices/sensors, an unprecedentedly large amount of sensory data can be… 
The State of Art of Internet of Things for Smart City Research Issues
TLDR
The proposed system will provide economic and efficient solution for the implementation of smart city which also provides the reliability and sustainability which enhances the way of living.
Enabling Customizable Services for Multimodal Smart Mobility With City-Platforms
TLDR
This paper addresses the development of an urban data platform and how to obtain and integrate information from sensors and other data sources to provide aggregated and intelligent views of raw data to support urban mobility and presents an intelligent urban mobility solution.
A Synergetic Orchestration of Objects, Data, and Services to Enable Smart Cities
TLDR
An informed design platform (IDP) is presented to demonstrate how a smart service system can be designed and how a synergetic orchestration can be implemented to support an informed place design, and two dedicated mechanisms are implemented in a multisource data processing flow to illustrate how massive geo-referenced data can be analyzed effectively and efficiently by machine learning algorithms.
The implementation of a cloud city traffic state assessment system using a novel big data architecture
TLDR
This work implements a city traffic state assessment system in cloud using a novel big data architecture that provides the real- time busses location and real-time traffic state through open data, cloud computing, bid data technology, clustering methods, and irregular moving average.
Consensus in Smart Computing Systems
TLDR
This paper defines necessary dynamicity model to constrain the change of process set, and designs a dynamic consensus algorithm which can handle process join and leave effectively via two novel mechanisms.
Incident Duration Predication Based on Traffic Boardcasting Information
  • Ru Cuicui, Feng Mao, Lin Jianhao, Y. HaiTao
  • Computer Science
    22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)
  • 2017
TLDR
Traffic broadcasting information, including incident broadcasting information from the Traffic Management Bureau, and the real-time traffic data from Traffic Information Committee, has been applied to improve the low prediction accuracy and complexity of the model proposed previously.
PM2.5 forecasting with hybrid LSE model‐based approach
TLDR
Experimental results show that the proposed hybrid LSE model‐based approach exhibits the best performance in terms of R2, MAE, MAPE, RMSE, while it is applied for forecasting in real datasets.
Predicting Frailty Condition in Elderly Using Multidimensional Socioclinical Databases
TLDR
Two different predictive models for frailty are proposed by exploiting 12 socioclinical databases based on the whole elderly population of the Municipality of Bologna, Italy, demonstrating a good predictive ability of the models.
MIPE: a practical memory integrity protection method in a trusted execution environment
TLDR
A practical memory integrity protection method on an ARM-based platform, called MIPE, to defend against security threats including kernel data attacks and direct memory access attacks and is effective and feasible in terms of both load time and overhead.