A5101775182- Advanced Memory and Neural Computing
- Image and Signal Denoising Methods
- Image Processing Techniques and Applications
- Transition Metal Oxide Nanomaterials
- Additive Manufacturing and 3D Printing Technologies
- Ferroelectric and Negative Capacitance Devices
- Advanced Image Processing Techniques
- Graphene research and applications
- Conducting polymers and applications
- Image Enhancement Techniques
- Advanced X-ray and CT Imaging
- Advanced Sensor and Energy Harvesting Materials
- Photoreceptor and optogenetics research
- Polymer Nanocomposites and Properties
- Gas Sensing Nanomaterials and Sensors
- Polymer Nanocomposite Synthesis and Irradiation
- Neural Networks and Reservoir Computing
- Nanoparticles: synthesis and applications
- Advanced Image Fusion Techniques
- Medical Imaging Techniques and Applications
- Semiconductor materials and devices
- ZnO doping and properties
- Welding Techniques and Residual Stresses
Northeast Normal University
2019-2022
Changchun University of Science and Technology
2019-2021
Wuhan University of Science and Technology
2020
South China Agricultural University
2013-2018
Ministry of Education of the People's Republic of China
2013
Abstract Organic electrochemical metallization (ECM) memory that possesses high reliable switching performance is in great demand for the future smart wearable and flexible electronics. The resistive (RS) behavior of organic ECM determined by micro‐morphology evolution metal conductive filaments (CFs) during operating process. However, morphology controllability CFs generally deteriorated their random distribution unexpected overgrowth. Herein, a kind nanoporous PVC/TiO 2 nanocomposite...
Herein, the influence of nano‐graphite clusters on amorphous carbon‐based memories reliability is studied in detail. The size effectively controlled through vacuum annealing process, which experimentally verified by Raman spectra. Taking advantage local electric‐field enhancement around clusters, relative fluctuation high‐resistance state/low‐resistance state (HRS/LRS) and SET/RESET voltage reduce from 66.5%/41.2% to 25.3%/19.7% 43.2%/21.4% 18.8%/15.4%, respectively. In addition, highly...
The working performance of transplanting mechanism in transplanter directly affects the quality and efficiency, it is core component a rice transplanter. In this paper, mainly form current development high-speed are introduced, different kinds ́s characteristics, structure principle applicability summarized. Meanwhile, kinematics dynamics analysis all also stated. Finally, putting forward proposals for research trend problems that still need to be solved. On account, would provide some ideas...
3D printing, that is, a kind of rapid prototyping technology, it is based on the digital model file, using powder metal or plastic adhesive materials, such as to construct object by means step print technology. printing technology development in recent years, It has develop direction miniature and generalization slowly from large professional, desktop equipment representative products this process. Based principle characteristics use printer, causes some common problems process solvents are...
In this paper, starting from the noise and blur characteristics of strain clamp X-ray image , an processing method combining bilateral filter denoising unsharp mask enhancement is proposed. Experimental results show that algorithm have certain limitations in edge enhancement. After denoised by filtering,the used for enhancement, which can effectively expand scope algorithm. This greatly improve qualityand help identify defects. It provides a strong guarantee support inspection clamp, has...
The intriguing properties of two-dimensional (2D) transition metal dichalcogenides (TMDCs) enable the exploration new electronic device architectures, particularly emerging memristive devices for in-memory computing applications. Implementation arithmetic logic operations taking advantage non-linear characteristics memristor can significantly improve energy efficiency and simplify complexity peripheral circuits. Herein, we demonstrate an unit function using a lateral volatile based on...
In this paper, a method of removing ion-feedback noise based on RPCA and median filter is proposed, removal mechanism iterative strategy "detection-location-removal" established to remove the step by step, BM3D algorithm used Gaussian noise. The experimental results show that proposed can effectively noise, protect edges details ICCD LLL images as much possible. addition, we quantitatively evaluate denoising performance method. Our obtains better objective measurement values. It has...
The electron-multiplying charge-coupled device (EMCCD) is widely used in low-light-level (LLL) imaging field. In order to solve the problems of low signal-to-noise ratio (SNR) and contrast EMCCD LLL images under illumination, a denoising method based on nonlinear diffusion filter with wavelet transform sensitivity function (CSF) proposed. Aiming at existing P-M model, that is, coefficient easily disturbed by noise, direction affects noise reduction process, introduces CSF, then new proposed...
A new objective measurement method of minimum resolvable contrast (MRC) based on convolutional neural network (CNN) is proposed in this paper, view the fact that subjective results are easily affected by observer's subjectivity. Due to low signal-to-noise ratio (SNR) low-light-level (LLL) images, it difficult for traditional recognition algorithms achieve ideal results, but CNN can automatically learn features from sample data image recognition. This does not depend judgment. It uses instead...