Social entrepreneurship : an evidence-based approach to creating social value

Latency-Aware Optimization of Submarine Communication Cable Systems With Trun…

We provide an optimized design solution, called Lagrangian Fast Marching (LAFM), for the most popular submarine cable system topology (trunk-and-branch), on the undersea surface of the earth modele…

High-Spatial-Resolution Strain Sensor Based on Rayleigh-Scattering-Enhanced S…

A high-spatial-resolution, i.e., 2.0 mm, strain sensor based on a Rayleigh-scattering-enhanced SMF, i.e., exposed SMF (E-SMF) with direct UV laser, was experimentally demonstrated. The enhancement …

Automated Team Assembly in Mobile Games: A Data-Driven Evolutionary Approach …

Many mobile games adopt autobattle systems in which the major consideration of players is how to assemble strong teams. The automated team assembly (ATA) becomes a crucial issue from different stan…

Intelligent Single-Cavity Dual-Comb Source With Fast Locking

Dual-comb source (DCS) generation occupies the central position to the versatilities of dual-comb applications. The single-cavity-based DCS generation is an emerging technology which provides super…

Ultra-Widely Tunable Acousto-Optic Add-Drop Filter Based on Acoustically-Indu…

An ultra-widely tunable acousto-optic add-drop filter is proposed and demonstrated based on the acoustically-induced polarization conversion of cladding-etched single-mode fiber, which covers wavel…

Dynamic BOTDA Based on Spectrally Efficient Frequency-Division Multiplexing

The tradeoff between the spatial resolution and estimation accuracy of the Brillouin frequency shift (BFS) sets a technical hurdle for Brillouin optical time-domain analyzers (BOTDAs) based on orth…

Optimizing Latent Distributions for Non-Adversarial Generative Networks

The generator in generative adversarial networks (GANs) is driven by a discriminator to produce high-quality images through an adversarial game. At the same time, the difficulty of reaching a stabl…

Efficient Global MOT Under Minimum-Cost Circulation Framework

We developed a minimum-cost circulation framework for solving the global data association problem, which plays a key role in the tracking-by-detection paradigm of multi-object tracking (MOT). The g…

Contrastive Adaptation Network for Single- and Multi-Source Domain Adaptation

Unsupervised domain adaptation (UDA) makes predictions for the target domain data while manual annotations are only available in the source domain. Previous methods minimize the domain discrepancy …