Findings from Dalian University of Technology Update Understanding of Data Loss

November 16, 2013
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By a News Reporter-Staff News Editor at Telecommunications Weekly — Fresh data on Data Loss are presented in a new report. According to news reporting from Dalian, People’s Republic of China, by VerticalNews journalists, research stated, “In a wireless sensor network, data loss often occurs during the data transmission between the wireless sensor nodes and the base station. In the wireless sensor network applications for civil structural health monitoring, the errors caused by data loss inevitably affect the data analysis of the structure and subsequent decision making.”

The news correspondents obtained a quote from the research from the Dalian University of Technology, “This article explores a novel application of compressive sampling to recover the lost data in a wireless sensor network used in structural health monitoring. The main idea in this approach is to first perform a linear projection of the transmitted data x onto y by a random matrix and subsequently to transmit the data y to the base station. The original data x are then reconstructed on the base station from the data y using the compressive sampling method. The acceleration time series collected by the field test on the Jinzhou West Bridge and the Structural Health Monitoring System on the National Aquatics Center in Beijing are employed to validate the accuracy of the proposed data loss recovery approach.”

According to the news reporters, the research concluded: “The results indicate that good recovery accuracy can be obtained if the original data have a sparse characteristic in some orthonormal basis, whereas the recovery accuracy is degraded when the original data are not sparse in the orthonormal basis.”

For more information on this research see: Compressive sampling-based data loss recovery for wireless sensor networks used in civil structural health monitoring. Structural Health Monitoring-An International Journal, 2013;12(1):78-95. Structural Health Monitoring-An International Journal can be contacted at: Sage Publications Ltd, 1 Olivers Yard, 55 City Road, London EC1Y 1SP, England.

Our news journalists report that additional information may be obtained by contacting Y.Q. Bao, Dalian University of Technology, Sch Civil Hydraul Engn, Dalian, People’s Republic of China. Additional authors for this research include H. Li, X.D. Sun, Y. Yu and J.P. Ou.

Keywords for this news article include: Asia, Dalian, Information Technology, People’s Republic of China, Information and Data Loss and Recovery

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2013, NewsRx LLC

Deeter Does Wirless

Article source: http://www.hispanicbusiness.com/2013/11/14/findings_from_dalian_university_of_technology.htm

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