Change Point Detection in Dynamic Networks via Regularized Tensor Decomposition
Dynamic network captures time-varying interactions among multiple entities at different time points, and detecting its structural change points is of central interest. This article proposes a novel…
Advanced Interferometric Fiber Optic Gyroscope for Inertial Sensing : A Review
As one of the most successful applications in optical fiber sensing, interferometric fiber optic gyroscope (IFOG) has become the ideal choice for inertial navigation systems, and has been widely us…
Integrated Human Activity Sensing and Communications
Advances in wireless communication and signal processing facilitate integrated sensing and communication (ISAC) – a compelling technology that intrinsically combines sensing and communication fun…
Interactions Between Pelagic and Benthic Producers : Asymmetric Competition f…
A PDE-ODE coupled dynamic model is proposed to describe the asymmetric competition for light and nutrients between producers in a poorly mixed pelagic habitat and producers in a well-mixed benthic …
Simultaneous Trapping and Manipulation of Micro-Specimens Using an All-Dielec…
We demonstrate a platform where optical evanescent vortex has been realized by focusing a laser beam with orbital angular momentum (OAM) onto an all-dielectric one-dimensional photonic crystal (1DP…
A Coalesce Security System of PDM and SDM Based on a Flexible Configuration o…
The purpose of this study is to present a security system that combines PDM and SDM and is based on the flexible configuration of multi-channel keys. The proposed system will utilize three distinct…
Hardware-Efficient, Ultra-Fast and Joint Polarization and Carrier Phase Track…
The coherent digital subcarrier multiplexing (DSCM) has recently been proposed as a cost saving solution to realize flexible and scalable point-to-multipoint (PTMP) networks. In this work, a hardwa…
Point Cloud Instance Segmentation With Semi-Supervised Bounding-Box Mining
Point cloud instance segmentation has achieved huge progress with the emergence of deep learning. However, these methods are usually data-hungry with expensive and time-consuming dense point cloud …
Optical Flow in the Dark
Optical flow estimation in low-light conditions is a challenging task for existing methods and current optical flow datasets lack low-light samples. Even if the dark images are enhanced before esti…
Estimation of Conditional Average Treatment Effects With High-Dimensional Data
Given the unconfoundedness assumption, we propose new nonparametric estimators for the reduced dimensional conditional average treatment effect (CATE) function. In the first stage, the nuisance fun…
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