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Vol. 159, Issue 11, November 2013, pp. 54-59




Monitoring Data Cleaning of Urban Tunnels by Fusing PCA and CLARA Algorithms
1, 2 Kun Hao Tang, 1 Luo Zhong, 1 Lin Li, 1 Guang Yang

1 Department of Computer Science and Technology, Wuhan University of Technology, 4300702

2 Department of Computer and Information Science, Hunan Institute of Technology School, 421002
Tel.: 13975466676
E-mail: 13587263@qq.com


Received: 13 September   /Accepted: 25 October 2013   /Published: 30 November 2013

Digital Sensors and Sensor Sysstems


Abstract: With the development of urban construction, urban traffic is becoming more and more complex. And the status of tunnel is more important than before. As time goes on, urban road tunnel monitoring system will accumulate a large amount of data. To mining the knowledge from those data for urban management, the processing of data is necessary. This paper put forwards PCCA algorithm, which combines PCA and CLARA algorithms for a set of real-time environmental data collected by an intelligent tunnel monitoring system. The proposed algorithm is able to reduce data dimensions while analyzing data effectively. In our experimental results, we show that our proposed algorithm can improve the accuracy of traditional data cleaning algorithms and reduce their running times. In addition, the abnormal data is listed by their reasons.


Keywords: PCA, CLARA dimension reduction, Processing of data.


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