All posts by Prof. Yang Wang


About Prof. Yang Wang

Georgia Institute of Technology - Atlanta GA - USA

Intelligent Wireless Sensors with Application to the Identification of Structural Modal Parameters and Steel Cable Forces: From the Lab to the Field

Wireless sensing systems have been proposed for structural heath monitoring in recent years. While wireless sensors are cost-competitive compared to tethered monitoring systems, their significant merit also lies in their embedded computational capabilities. In this paper, performance of the two embedded engineering algorithms, namely the fast Fourier transform and peak-picking algorithm implemented in the wireless sensing nodes codeveloped at Stanford University and the University of Michigan is investigated through laboratory and field experimental studies. Furthermore, the wireless sensor network embedded with the engineering algorithms is adopted for the identification of structural modal parameters and forces in steel bridge cables. Identification results by the embedded algorithms in the intelligent wireless sensors are compared with those obtained by conventional offline analysis of the measured time-history data. Such a comparison serves to validate the effectiveness of the intelligent wireless sensor network. In addition, it is shown that self-interrogation of measurement data based upon the two embedded algorithms in wireless sensor nodes greatly reduces the amount of data to be transmitted by the wireless sensing network. Thus, the intelligent wireless sensors offer scalable network solutions that are power-efficient for the health monitoring of civil infrastructures.

¬© The authors. Article first published in the ‘Advances in Civil Engineering’, V. (2010), as open access article, distributed under the terms of the Creative Commons Attribution License

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Bridging the gap between academia and industry through user-centred training

Bridging the Gap is a project-based online track within TU-Towson University’s undergraduate curriculum that will provide industry and theoretical background through a module-based e-learning environment. Bridging the Gap will develop and enhance TU’s existing IT courses with the addition of self-paced e-learning modules and hands-on industry projects. The project will assist faculty members with developing and administering class assignments by utilizing modulated project repository and providing them with continuous real-time technology updates, required skill sets and knowledge of industry trends. The business community will also benefit from the User Centred Software Engineering and Web Technology Lab; the lab will serve as a test bed for industry applications. Active collaboration with industry will result in the development of new research initiatives for undergraduate and graduate students while, at the same time, helping them develop real-world skill sets to compliment what they will learn through self-paced e-learning modules. Bridging the Gap’s approach will lead to the development of a project-based course curriculum, which will benefit the students, TU and other universities, and ultimately the IT industry.

Received: 4th June 2008

Revised: 23rd September 2008

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