OPTICAL NETWORKING & SENSING
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Due to many advantages, such as high sensitivity, low latency, immunity to EMI, robustness, large quantity of sensing points, intrinsic synchronization, and multimodal detection, distributed fiber optic sensing (DFOS) technology has grown in recent years and has seen applications in more fields.
In this research area, we first focus on developing new optoelectronic design and FPGA-based signal processing technologies to improve the sensitivity, dynamic range, and stability of both backscattering-based and forward transmission-based DFOS systems. Data fusion technologies have also been developed to provide multi-dimensional information to understand the environment better. Secondly, we develop novel applications to effectively utilize fiber sensing technologies for various fields, such as road and traffic monitoring, civil infrastructure health monitoring, power and energy system monitoring, perimeter and city safety monitoring, weather and natural disaster monitoring, etc.
We are the pioneer in utilizing the existing communication optical networks for sensing, which significantly reduces the deployment cost and time, improves the operation efficiency of the telecom network, and adds new values to the existing infrastructure.
Team Members: Ting Wang
Publication Tags: optical networking, optical sensing
Symmetry breaking has been shown to reveal interesting phenomena in physical systems. A notable example is the fundamental work of Otto Stern and Walther Gerlach [Stern and Zerlach, Z. Physik 9, 349 (1922)] nearly 100 years ago demonstrating a spin angular momentum (SAM) deflection that differed from
We proposed and demonstrated a new machine learning algorithm for wavelength modulation spectroscopy to enhance the accuracy of fire detection. The result shows more than 8% of accuracy improvement by analyzing CO/CO 2 2f signals.
