Delivery of Polarization-Division-Multiplexing Wireless Millimeter-Wave Signa…

We proposed and established a large-capacity, long-distance wireless millimeter-wave (mm-wave) signal delivery system at W-band based on photonics-aided mm-wave generation technology, polarization-…

Reflective-Type High Sensitivity Optical Fiber Hydrogen Sensor Based On Enlar…

Highly sensitive reflective-type fiber hydrogen sensor based on an enlarged taper cascaded with a tilted fiber grating (TFBG) was proposed. Hydrogen-sensitive Au-Pd nanofilm was coated on the TFBG …

Molecular medical microbiology

Design of a Mach-Zehnder Interferometric Fiber Sensing System Based on PCA-As…

We propose and numerically design a Mach-Zehnder interferometric sensing system using principal-component-analysis-based orbital angular momentum (OAM) interrogation for simultaneous measurement of…

A Compact Fluorescent Probe for Real-Time Thermal Monitoring of Chips

In this paper, a compact fluorescent probe based on fluorescence intensity ratio (FIR) technique is proposed for real-time thermal monitoring of chips, the sensing unit of which is based on a self-…

Using Data Pre-Processing and Convolutional Neural Network (CNN) to Mitigate …

New systems and technologies, such as Internet-of-Things (IOT) may require high reliability and high accuracy indoor positioning and tracking of persons and devices in indoor areas. Among different…

Fusing Physics to Fiber Nonlinearity Model for Optical Networks Based on Phys…

Machine learning (ML) has been widely used for physical layer modeling in optical networks for its high accuracy and efficient calculation structure. However, traditional ML-based methods purely re…

Widar3.0 : Zero-Effort Cross-Domain Gesture Recognition With Wi-Fi

With the development of signal processing technology, the ubiquitous Wi-Fi devices open an unprecedented opportunity to solve the challenging human gesture recognition problem by learning motion re…

Recurrent Multi-Frame Deraining : Combining Physics Guidance and Adversarial …

Existing video rain removal methods mainly focus on rain streak removal and are solely trained based on the synthetic data, which neglect more complex degradation factors, e.g., rain accumulation, …

Active Learning for Contextual Search with Binary Feedback

In this paper, we study the learning problem in contextual search, which is motivated by applications such as crowdsourcing and personalized medicine experiments. In particular, for a sequence of a…