Doppler through-wall radar (TWR) is one of the mainstream target positioning equipment, acquiring instantaneous frequency (IF) to achieve trajectory tracking. However, severe time–frequency interference leads a significant deviation estimated from actual position. Hence, in this work, we propose estimation algorithm based on enhancement. First, analysis (TFA) echo signal carried out by short-time Fourier transform (STFT). By analyzing distribution (TFD) signal, an overcomplete dictionary...

This article investigates the nonlinear behavior of single-keyed dry joints in segmental precast bridges under direct shear loading on basis finite element analysis lots specimens with concrete plastic damage considered. Through detailed discussion existing research, influence factors ultimate capacity keyed joint are analyzed, a new formula was proposed and evaluated. The feasibility correctness FE simulation method were verified by comparison existed experimental results. Concrete tensile...

The micro-Doppler (m-D) modulations to radar backscattering introduced by the flexible body articulations and complicated movement patterns of human movers can provide valuable information for activity classification help identify interested targets. In particular, m-D signal limbs, as a highly distinctive feature activities, be used an effective clue discriminate between armed unarmed persons, well humans against other small animals. this article, novel theoretical method is proposed...

The Short-time Fourier transform (STFT) is widely used in the analysis of non-stationary signals because its mature principle and simple implementation, as well multi-target tracking based on Doppler Through-Wall Radar (TWR). However, due to limitation uncertainty principle, when frequencies several echo are close each other, there will be aliasing spectrum obtained by STFT, which seriously degrade accuracy tracking. To overcome this limitation, we proposed an improved Ferguson-Hough...

Fully-supervised deep learning has achieved great success in many fields, but its performance is often hindered by the abundance and quantity of available labeled training data. In field radar-based human motions recognition (HMR), obtaining sufficient data really a challenge due to scarcity data, which causes methods fall into an over-fitting state easily. To overcome this limitation, we propose GAN-based semi-supervised model for classification, can leverage large amount unlabeled enhance...

<title>Abstract</title> Accurately locating and segmenting polyps from colon images is crucial for the treatment of rectal cancer. However, environment characterized by high noise, diverse sizes, complex boundaries, a demand detailed information, making task challenging. The acquisition processing polyp features are central to research on segmentation methods. This paper introduces an Adaptive Fusion Of Composite Attention Convolutional Neural Network (AFCNet) image segmentation. First, this...

Increasingly massive image data is restricted by conditions such as information transmission and reconstruction, it increasingly difficult to meet the requirements of speed integrity in age. To solve urgent problems faced transmission, this paper proposes a high-quality compression algorithm based on unsupervised learning. Among them, content-weighted autoencoder network proposed achieve coding basis smaller bit rate entropy optimization problem. Binary quantizers are used for quantization,...

<title>Abstract</title> Increasingly massive image data is restricted by conditions such as information transmission and reconstruction, it increasingly difficult to meet the requirements of speed integrity in age. To solve urgent problems faced transmission, this paper proposes a high-quality compression algorithm based on unsupervised learning. Among them, content-weighted autoencoder network proposed achieve coding basis smaller bit rate entropy optimization problem. Binary quantizer are...

The girder-pier rigid zone of railway T-rigid bridge has the characteristics large volume concrete and complex stress state. Effective control hydration heat effect during casting is key to ensuring quality entire project. Taking Shiliang River Bridge Chongqing-Guizhou high-speed as engineering background, with methods numerical simulation on-site monitoring, feasibility a one-time scheme investigated in this paper, well effects different measures on heat. Results show that original not...