Finite-Time Robust Distributed Estimate for Nonlinear Systems With Heterogeneous Sensors.

This article proposes a finite-time distributed state estimation (DSE) algorithm for discrete-time stochastic nonlinear systems with heterogeneous sensors. Considering the network with heterogeneous sensors, the distributed estimate framework is designed by three phases, namely, priori prediction, measurement update, and consensus fusion. To obtain the accurate priori prediction results, the interactive multiple model (IMM) method is adopted to calculate the priori state value in the priori prediction phase.

Aggregation Signature for Small Object Tracking.

Small object tracking becomes an increasingly important task, which however has been largely unexplored in computer vision. The great challenges stem from the facts that: 1) small objects show extreme vague and variable appearances, and 2) they tend to be lost easier as compared to normal-sized ones due to the shaking of lens. In this paper, we propose a novel aggregation signature suitable for small object tracking, especially aiming for the challenge of sudden and large drift.

Andrographolide-loaded silk fibroin nanoparticles.

Andrographolide (AP) is a diterpenoid separated from with a wide spectrum of biological activities including anti-inflammatory, anticancer, hepatoprotective, and antihyperlipidemic. However, its poor water solubility and instability result in lower bioavailability, which seriously limit its pharmacological function. In this study, the attempt to use regenerated silk fibroin (RSF) as a drug-carrier to encapsulate AP was reported.

Automatic Modulation Classification Based on Deep Learning for Unmanned Aerial Vehicles.

Deep learning has recently attracted much attention due to its excellent performance in processing audio, image, and video data. However, few studies are devoted to the field of automatic modulation classification (AMC). It is one of the most well-known research topics in communication signal recognition and remains challenging for traditional methods due to complex disturbance from other sources.