Research Projects

Advanced sensor device and materials for large-scale water survey

We present in this project a construction of cost-effective microprocessor-controlled wireless portable multi-function monitoring devices for continuous collection of basic water data which include surface salinity, temperature, GPS coordinates, and metal ion concentration. The devices will be equipped with special probes materials for better sensing of sensitivity and selectivity of ion concentration. It is not necessary to restate about the importance of collecting salinity intrusion data for a country facing increased salinization like Viet Nam.

We propose the sensor device in the form of floating ball which includes inside the sensing probes for direct temperature and conductivity measurement as well as probe for detection of small impedance or susceptibility variations. The GSM technology is integrated for wireless transmission of collected data.

Selected Publications

Khac Thuan Nguyen, The Nghia Nguyen, Trong Tinh Nguyen, Tomoyuki Yamamoto, and Nam Nhat Hoang. Unusual hydrogen implanted gold with lattice contraction at increased hydrogen content. Nature Communications, vol. 12, no. 1, pp. 1-9, 2021. [On the news]

More information

PI: Prof. Hoang Nam Nhat.

SAME CATEGORY

EEG signal processing from the computer vision perspective

In this work, we study the processing of EEG signals in the image domain, i.e., visualizing the signal in the binary image and applying computer vision techniques for signal smoothing and classification. Some research questions are being investigated: 1. How well can we smooth the signal in the image domain? Here, we plot the interested […]

Vision-based crack detection with crack propagation modeling

In this work, the propagation of cracks on some materials, such as concrete, is analyzed, the best-fit model of which is employed for vision-based crack detection. Some research questions are being investigated: 1. What is the correlation between simulated crack propagation and real-world crack? Here, we measure the fitting errors between best-fit regression models of […]

Machine learning based beacon placement optimization for indoor robots localization

Indoor localization systems usually consist of transceiver with fixed positions, which are called beacons. These beacons act as landmarks for localizing objects that need to be positioned. One can easily see that the positions of beacons have a great impact on the performance of the localization system. The problem of beacon placement optimization is to […]