A5100358291- Sparse and Compressive Sensing Techniques
- Image Enhancement Techniques
- Advanced Battery Materials and Technologies
- Microwave Imaging and Scattering Analysis
- Video Surveillance and Tracking Methods
- Advancements in Battery Materials
- Particle accelerators and beam dynamics
- Advanced Data Compression Techniques
- Advanced Fiber Optic Sensors
- Wireless Communication Networks Research
- Industrial Vision Systems and Defect Detection
- Advanced Image Fusion Techniques
- Photoacoustic and Ultrasonic Imaging
- Ultra-Wideband Communications Technology
- Plasma Diagnostics and Applications
- Advanced Algorithms and Applications
- Anomaly Detection Techniques and Applications
- Advanced Wireless Communication Techniques
- Advanced Steganography and Watermarking Techniques
- Advanced Image and Video Retrieval Techniques
- Error Correcting Code Techniques
- Image and Signal Denoising Methods
- Autonomous Vehicle Technology and Safety
- Magnetic confinement fusion research
- Electric Power System Optimization
Dalian Neusoft University of Information
2023-2024
Wuyi University
2012-2022
Xinjiang Uygur Autonomous Region Product Quality Supervision and Inspection Institute
2022
China Electric Power Research Institute
2019-2022
Harbin Engineering University
2022
Nanjing University of Science and Technology
2022
First Affiliated Hospital of Henan University
2022
Nanjing University of Posts and Telecommunications
2000-2021
Shandong University of Technology
2021
Qingdao University
2020
Extensive research interest has been focused on protecting vulnerable road users in recent years, particularly pedestrians and cyclists, due to their attributes of vulnerability. However, comparatively little effort spent detecting pedestrian cyclist together, when it concerns quantitative performance analysis large datasets. In this paper, we present a unified framework for concurrent detection, which includes novel detection proposal method (termed UB-MPR) output set object candidates,...
Abstract The sensitive detection of down-regulator transcription 1 (DR1) provides important information for early noninvasive diagnosis and treatment Hashimoto thyroiditis (HT). In this study, a label-free electrochemical biosensor DR1 was constructed based on electrodeposited gold nanoparticles (AuNPs) poly(lactic-co-glycolic acid) (PLGA). AuNPs were first modified to the electrode surface by electrodeposition increase specific area electrode, thus loading more target molecules sensitivity...
Recently, tunnel junction devices adopting semiconducting Nb:SrTiO3 electrodes have attracted considerable attention for their potential applications in resistive data storage and neuromorphic computing. In this work, we report on a comparative study of Pt/insulator/Nb:SrTiO3 junctions between ferroelectric BaTiO3 nonferroelectric SrTiO3 LaAlO3 barriers to reveal the role polarization resistance switching properties. Although hysteretic behaviors appear current–voltage measurements all...
The key of advancing radial basis function neural network (RBFNN) is how to choose the data center and number cluster perfectly. In this paper fuzzy C-means clustering used as K-means ameliorated algorithm determine RBF networks hidden nodes. Combined pseudo-inverse method model constructed. Simulation test on dimension predicting in selective laser sintering process showed able provide higher accurate predict, well less calculate quantity quick training.
In this paper, a new model for correlated K-distributed sea clutter simulation is developed, which combines fast Gamma-distributed random process to make the procedure much simpler. Two parameters, ± and ², can be fitted by mean standard deviation of measured data, are included in specify statistical probability density characteristics clutter. Based on analysis correlation properties compound K distribution, an auto-regressive (AR) adopted, offers efficient way generate with specified power...
A new particle-moving algorithm for particle-in-cell simulation of plasma is developed based on the linear multistep method. The conventional and algorithms are investigated by numerical experiments, which conducted in three typical fashions electron motions electromagnetic fields, namely, cyclotron homogeneous magnetic field, drift E × B inhomogeneous field. not only improves accuracy, but also relaxes time step condition simulation, thus increasing computation efficiency.
In colour compressed sensing (CS) imaging, the current two bottlenecks for application are (1) high computation cost of sparse representation (SR) with over‐complete dictionary and (2) unsatisfactory imaging quality CS recovery l 1 ‐norm minimisation. Thus, this study proposes a novel framework. framework, improvements achieved: authors present difference to reduce SR in RGB imaging; use fractal dimension instead as object function actualise recovery. The feasibility our framework is proved...
A novel multi‐band joint local sparse tracking algorithm via wavelet transforms is proposed in this study. The object image may contain rich information of different types; the authors use to decompose into some sub‐band images first. This will help extract frequency ranges for object. Then same block operation executed on all images. l 2, 1 mixed‐norm used describe representation each patch; it can effectively structural ranges. Thus, more accurate appearance model be established. Second,...
In the paper, ultra-wideband (UWB) localization method based on multi-task compressive sensing (MT-CS) is proposed to solve UWB accuracy performance problem. indoor multi-path NLOS environment, transmission channel pulse response (CIR) estimated precisely by use of MT-CS algorithm, and least square error (LSE) algorithm are calculated estimate target location. The simulation results illustrate that compared with BCS can more precisely, approximate CRLB algorithm. Meanwhile, possesses...
We propose a robust local L2,1 tracker based on red-green-blue (RGB) color channel fusion. In this tracker, the object is first divided into some patches with overlap region, and then sparse optimization from RGB channels in each patch solved via mixed-norm regularization, which can realize fusion of multicolor information. calculation candidate confidence, confidences are fused to obtain total confidence object, accurately select best object. update module template set dictionary database,...
As an effective means to integrate the information contained in multiple images different ways, multi-model image fusion provides more comprehensive and sophisticated for modern medical diagnosis, remote sensing, video surveillance other fields. Based on non-subsampled shearlet transform (NSST) domain, this paper proposed general framework well preserve energy detail. It can solve problem of limited direction decomposition. This method applies NSST decomposition source into high-pass...
Colorfulness is an aspect of the visual perception, according to which color object perceived be more or less chromatic. However, existing colorfulness measures face a problem that may fail measure distortion for compressed sensing and even multilayer images. In this paper, we propose Multilayer Compressed Sensing (Mul-CS) model new (CM-MulCS) model. The Mul-CS based on improved Gaussian random measurement matrix, in feature map each layer visualized by proposed Fitting Visualization (GFV)...
TDM have been got the better profitability for a long time. The PWE3 provides method retaining this high return service, at same time migrating towards IP/MPLS packet transport network. Transport MPLS is most promising technology In paper, architecture and key of pseudo wires emulation edge to over introduced. function each plane relative modules are also analyzed. end, simulation verification results will be given in conclusions.