Wei Yu

University of Science and Technology of China

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Feng Zhao

University of Science and Technology of China

Xiaoxu Yang

Peking University

Jie Huang

Wuhan University

Junfeng Han

Fujian Agriculture and Forestry University

Meilin Xie

Xi'an Institute of Optics and Precision Mechanics

Feng Jing

China Earthquake Administration

Naishan Zheng

University of Science and Technology of China

Junfeng Han

Beijing Institute of Technology

Xi Shun Lai

Qiang Dong

Cotton Research Institute

Cooperative Institutions

Chinese Academy of Sciences

Xi'an Institute of Optics and Precision Mechanics

University of Chinese Academy of Sciences

University of Science and Technology of China

China Academy of Space Technology

Hefei Institutes of Physical Science

University of Electronic Science and Technology of China

Institute of Intelligent Machines

Zhengzhou University

Fuzhou University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Learning Non-Uniform-Sampling for Ultra-High-Definition Image Enhancement

Wei Yu Qi Zhu Naishan Zheng Jie Huang Man Zhou

Ultra-high-definition (UHD) image enhancement is a challenging problem that aims to effectively and efficiently recover clean UHD images. To maintain efficiency, the straightforward approach is to downsample and perform most computations on low-resolution images. However, previous studies typically rely on the uniform and content-agnostic downsampling method that equally treats various regions regardless of their complexities, thus limiting the detail reconstruction in UHD image enhancement. To alleviate this issue, we propose a novel spatial-variant and invertible non-uniform downsampler that adaptively adjusts the sampling rate according to the richness of details. It magnifies important regions to preserve more information (e.g., sparse sampling points for sky, dense sampling points for buildings). Therefore, we propose a novel Non-uniform-Sampling Enhancement Network (NSEN) consisting of two core designs: 1) content-guided downsampling that extracts texture representation to guide the sampler to perform content-aware downsampling for producing detail-preserved low-resolution images; 2) invertible pixel-alignment which remaps the forward sampling process in an iterative manner to eliminate the deformations caused by the non-uniform downsampling, thus producing detail-rich clean UHD images. To demonstrate the superiority of our proposed model, we conduct extensive experiments on various UHD enhancement tasks. The results show that the proposed NSEN yields better performance against other state-of-the-art methods both visually and quantitatively.

Upsampling

Oversampling

10.1145/3581783.3611836

Cite

Citations (2)

Modulation Recognition of Decision Tree SVM Based on Chaotic Particle Swarm

Video Engineering (2012)

Wei Yu

To solve the inadequacies of the decision tree and support vector machine,the decision tree SVM to identify the communication modulation signal is introduced.The algorithm of chaotic particle swarm which has outstanding performance in function optimization and data mining is used to get the excellent parameters of decision tree SVM.When signal to noise ratio equal 5%,10% or 15%,there is a simulation test about digital modulated signals of 2ASK,4ASK,2PSK,4PSK,2FSK,4PSK.The result shows that the decision tree SVM based on chaotic particle swarm performs very well in the classification of communication modulation pattern recognition.

Tree (set theory)

Modulation (music)

SIGNAL (programming language)

Source

Cite

Citations (1)

Rotor Faults Diagnosis Way for Induction Motors Based on PQ Transformation

IEEE International Conference on Control and Automation (2007)

Zhenxing Liu Xue Zhang Wei Yu

The rotor faults diagnosis method for squirrel cage induction motors based on the PQ transformation is to collect three-phase electric voltage and electric current signal simultaneity, forming the active power P by the product of the currents and the voltage, and the reactive power Q by the product of the currents and Hilbert transformation of the voltages, then diagnose the faults based on the PQ curve of the machine. Due to the P and Q are both constant for healthy motor, they correspond to a dot on the PQ curve. And the PQ curve of machine with rotor broken bar or eccentricity will correspond to an ellipse due to they comprise an additional frequency component. This paper start with the model of the unhealthy squirrel cage induction motors. Then detail analysis indicates that the longest radius and the shortest radius of the ellipse was determined by the effective value of the fault characteristic components in the stator currents of the squirrel cage induction motor, at the same time, and the deflexed angle of the ellipse was determined by the phases of the fault characteristic components in the stator currents of the motor. The change of the amplitude of the longer axis, the short axis and the deflexed angle of the ellipse can be fault diagnostic indexes of the induction motors. Experimental results demonstrate effectiveness of the proposed method.

Squirrel-cage rotor

Ellipse

Wound rotor motor

10.1109/icca.2007.4376522

Cite

Citations (4)

Fault Diagnosis Way Based on RELAX Algorithms in Frequency Domain in Squirrel Cage Induction Motors

Electrical Measurement & Instrumentation (2010)

Wei Yu

The traditional method of spectrum analysis on the current signal via FFT is hard to diagnose the fault of the broken rotor bars.This paper presents a fault diagnosis method using the RELAX algorithm in frequency domain.It can estimate the amplitude and phase values of various frequency components using coarse and fine estimation according to the criterion of minimum energy.Finally the fundamental component can be eliminated in the frequency domain when the domain expressions of the above frequency components are constructed.Compared with the method of eliminating the fundamental component in time domain,this method has the advantage of computing faster but less accurate.However,it has been proved that the algorithm can highlight the fault characteristic and value a lot in early motor fault diagnosis.

Squirrel-cage rotor

Component (thermodynamics)

SIGNAL (programming language)

Frequency band

Source

Cite

Citations (1)

Improved Particle Swarm to Nonlinear Blind Source Separation

Wei Yu Liu Zhenxing LI Chang-hai

This paper propose the nonlinear blind source separation algorithm using improved particle swarm optimization (PSO) combined with natural gradient algorithm. The model of nonlinear blind source separation (NBSS) is built which the nonlinear transfer function is simulate by the P-th order polynomial function. At the same time, Based on the character of particle swarm optimization (PSO), "migrating operator" and local area deep-searching is introduce into PSO. Then, the parameters of the P-th order polynomial function is estimated by PSO. Experimental results indicate that tire established algorithm of PSO can quickly and effectively get optimal resolution to the nonlinear blind source separation.

10.1109/mape.2007.4393468

Cite

Citations (8)

Design of a High Precision Optical Galvanometer Driver

2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) (2019)

Xuezheng Lian Zihan Ma Wei Yu Wei Huang Meilin Xie

In Infrared Search and Track System (IRTS), the single frame imaging field of view of the plane array infrared detector is very small, which can not meet the increasing demand for wide field of view applications. The optical galvanometer has a very high cost performance in the application of lowcost and small volume. At the same time, the application is very necessary in terms of improving performance. In this paper, In order to expand its functionality and applicability, a pure analog and high-precision optical galvanometer drive controller is designed, and the current loop, speed loop and position loop are specially processed, which has high reliability and wide application range. The driver has been successfully applied in a round scanning optoelectronic system, achieving covers 360° horizontal field of view and has a clear image.

Galvanometer

Field of view

10.1109/itaic.2019.8785886

Cite

Citations (1)

The design of a code slot of the Composite Optical Encoder (EI CONFERENCE)

Liang L.-H.Lu X.-R.Qi L.-L.Wei Yu Wan Q.-H.

Code (set theory)

Source

Cite

Citations (0)

Glass bottle inspector system based on machine vision

Journal of Naval Aeronautical Engineering Institute (2006)

Wei Yu

With the development of digital image processing technology, image detecting has become a pivotal technique in many engineering applications. Using digital image processing, this system can inspect the gap and crack of the glass bottle. The detailed theory and method are given in this paper. Using PC analysis, this system implements the function of inspection.

Machine Vision

Source

Cite

Citations (1)

Research on the airborne SINS/CNS integrated navigation system assisted by BD navigation system

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2016)

Meilin Xie Xiaoxu Yang Junfeng Han Wei Yu Yue Peng

When the star navigation system working during the day, the strong sky background radiation lead to a result that the detect target light is too weak, in the field of view, because of the limitation on the number of the navigation star, usually choose the single star navigation work mode. In order to improve the reliability of the airborne SINS/CNS integrated navigation system, meet the demand of the long-endurance and high precision navigation, use the tight combination way, single star patrol algorithm to get the position and attitude. There exists filtering divergence problem because of the model error and the system measurement noise is uncertain, put forward a new fuzzy adaptive kalman filtering algorithm. Adjust the size of measurement noise to prevent the filter divergence; the positioning accuracy of integrated navigation system can be improved through BeiDou satellite. Without the information of BeiDou satellite, based on the level of the virtual reference, the navigation precision of integrated navigation system can be ensured over a period of time.

Celestial Navigation

Navigation System

Dilution of precision

Star tracker

10.1117/12.2229568

Cite

Citations (4)

The precision analysis of continuous zoom lens in airborne electro-optical pod

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2014)

Xiaoxu Yang Da-wei Li Junfeng Han Qiang Dong Wei Huang

In the research of electro-optical pod, this paper propose a mission requirements that continuous zoom lens system is using for measuring angle in the process. This paper analyzes the influence of angle measurement accuracy from focal length and optical axis errors in the process of continuous zoom, and given the mathematical model of the influence of angle measurement accuracy. The simulation analysis indicated that Angle measuring accuracy is affected by the process of continuous zoom. The simulation analysis results have certain instructive significance to engineering practice.

Zoom lens

10.1117/12.2054095

Cite

Citations (0)