Underwater Acoustic Wave Detection Based on Packaged Optical Microbubble Reso…
We demonstrate an optical underwater acoustic sensor with high sensitivity and broad bandwidth (10 Hz to 100 kHz), based on the packaged optical microbubble whispering gallery mode resonator, for t…
Research on 3D Optical Module Integrating Edge Coupler and TSV
3D integration photonic interposer is becoming popular in the field of co-packaging optics (CPO). In this paper, we integrate the edge coupler and through silicon via (TSV) into the silicon interpo…
Leveraged Exchange-Traded Funds with Market Closure and Frictions
Although leveraged exchange-traded funds (ETFs) are popular products for retail investors, how to hedge them poses a great challenge to financial institutions. We develop an optimal rebalancing (he…
NLM Parameter Optimization for φ-OTDR Signal
The filtering parameters of non-local means (NLM) that seriously affect the denoising results are usually optimized based on the noise level estimation. But the noise level is unknown in many cases…
Integration Time and Time-Bin Width in Ranging Histograms for a Photon-Counti…
High-performance light detection and ranging (LiDAR) modules are highly demanded for advanced driving assistance system and autonomous driving. With CMOS-fabricated single-photon avalanche diodes (…
Extraction of AMCC Signal Superposed by SOA-Integrated EA-DFB Laser for In-Se…
We propose an in-line monitoring method that enables fully passive extraction of the control signal for end-to-end optical direct connection on the All-Photonics Network (APN), which is one of the …
A Stochastic Composite Augmented Lagrangian Method for Reinforcement Learning
In this paper, we consider the linear programming (LP) formulation for deep reinforcement learning. The number of the constraints depends on the size of state and action spaces, which makes the pro…
Manufacturing Productivity with Worker Turnover
To maximize productivity, manufacturers must organize and equip their workforces to efficiently handle variable workloads. Their success depends on their ability to assign experienced and skilled w…
Circularly Projected Common Factors for Grouped Data
To extract the common factors from grouped data, multilevel factor models have been put forward in the literature, and methods based on iterative principal component analysis (PCA) and canonical co…
Seek-and-Hide : Adversarial Steganography via Deep Reinforcement Learning
The goal of image steganography is to hide a full-sized image, termed secret, into another, termed cover. Prior image steganography algorithms can conceal only one secret within one cover. In this …
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