Yang Li

Liaoning Shihua University

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Co-Authors

M.D. Judd

Frequency Therapeutics (United States)

Alistair Reid

Cardiff University

Hongwei Chen

Huaqiao University

R.A. Fouracre

University of Strathclyde

Zheng Sun

China University of Petroleum, East China

C.J. Bennoch

University of Strathclyde

Judd

Brian Stewart

University of Sydney

Haoyu Su

Dalian University of Technology

I.B.B. Hunter

Scottish Power (United Kingdom)

Cooperative Institutions

University of Hong Kong

University of Strathclyde

Ministry of Industry and Information Technology

Hong Kong University of Science and Technology

Northwestern Polytechnical University

Xi'an Jiaotong University

Harbin Institute of Technology

Chinese Academy of Sciences

Shenzhen University

China Jiliang University

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Detection of Moving Object in Dynamic Background Using Gaussian Max-Pooling and Segmentation Constrained RPCA

arXiv (Cornell University) (2017)

Yang Li Guangcan Liu Shengyong Chen

Due to its efficiency and stability, Robust Principal Component Analysis (RPCA) has been emerging as a promising tool for moving object detection. Unfortunately, existing RPCA based methods assume static or quasi-static background, and thereby they may have trouble in coping with the background scenes that exhibit a persistent dynamic behavior. In this work, we shall introduce two techniques to fill in the gap. First, instead of using the raw pixel-value as features that are brittle in the presence of dynamic background, we devise a so-called Gaussian max-pooling operator to estimate a "stable-value" for each pixel. Those stable-values are robust to various background changes and can therefore distinguish effectively the foreground objects from the background. Then, to obtain more accurate results, we further propose a Segmentation Constrained RPCA (SC-RPCA) model, which incorporates the temporal and spatial continuity in images into RPCA. The inference process of SC-RPCA is a group sparsity constrained nuclear norm minimization problem, which is convex and easy to solve. Experimental results on seven videos from the CDCNET 2014 database show the superior performance of the proposed method.

Pooling

10.48550/arxiv.1709.00657

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Citations (7)

The TITAN5 Gene of Arabidopsis Encodes a Protein Related to the ADP Ribosylation Factor Family of GTP Binding Proteins

The Plant Cell (2000)

John McElver David R. Patton Michael Rumbaugh Chunming Liu Yang Li

ADP ribosylation factor

Protein family

10.2307/3871137

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Citations (6)

UWB Adaptive Pulse Design Based on Polycycle Signal for Interference Suppression

Dianzi xuebao (2011)

Yang Li

The cognitive ultra-wideband(UWB) adaptive pulses design method is presented based on Hermite matrix eigenvectors and polycycle signal to make the UWB system coexist with the existing narrow band systems.Simulation results show that the power spectral density(PSD) of the proposed adaptive UWB pulses meets with Federal Communications Commission(FCC) indoor and outdoor spectral mask and produces adaptive spectral notches.Finally,according to analysis and simulation of multi-user interference(MUI) suppression and narrow band interference(NBI) suppression for pulse amplitude modulation-time hopping(PAM-TH) UWB systems,the proposed adaptive UWB pulses have anti-interference ability.

SIGNAL (programming language)

Time-Hopping

Modulation (music)

Source

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Recognising multiple partial discharge sources in power transformers by wavelet analysis of UHF signals

IEE Proceedings - Science Measurement and Technology (2003)

Yang Li M.D. Judd

Partial discharges (PD) in a transformer generate transient UHF signals that resonate within the tank. Where more than one source of PD or interference is present, the ability to separate incoming signals depending on their point of origin would enhance the diagnostic process. A wavelet-based method for recognising UHF signals from PD sources at different positions in the transformer tank, even when the signal is received at only one UHF sensor, is described. Time-frequency characteristics of the UHF PD signals are established using the wavelet transform, providing a means of mapping the energy distribution of the signal. A similarity function is then defined to provide a measure of the similarity between the various wavelet coefficient distributions. The procedure is demonstrated by means of laboratory experiments and application of the technique to data obtained from a transformer in the field.

10.1049/ip-smt:20030201

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Citations (42)

Partial discharge monitoring of power transformers using UHF sensors. Part I: sensors and signal interpretation

IEEE Electrical Insulation Magazine (2005)

M.D. Judd Yang Li I.B.B. Hunter

Determining whether power transformers are suffering from internal arcing or dangerous levels of partial discharge (PD) is important because failure without warning can result in damage to neighboring equipment, customer dissatisfaction, disruption to economic activity, and the imposition of regulatory fines. This paper provides an overview of the excitation of UHF signals by PD inside transformers. The use of externally mounted sensors has been outlined, and the structure of a dielectric window that can be constructed on an inspection hatch has been outlined. Attenuation of UHF signals propagating inside a transformer tank has been shown to be relatively low. A new approach to locating PD sources in three dimensions has been presented, based on using a numerical model of the transformer materials, which defines electromagnetic propagation velocities on a mesh of 5-cm sub-cells. The concepts of the propagation-velocity matrix (PVM) and the propagation-time matrix (PTM) were thereby introduced. Once the PD source has been located to a specific region of the transformer, the PVM might be used to index a database of physical descriptions of the transformer that could provide additional information to assist with diagnosis.

Electric arc

10.1109/mei.2005.1412214

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Citations (405)

Research on Safety Behavior Level of Coal Mine Workers Based on Structural Equation Model

International journal of management science and engineering research (2015)

Gang He Guotong Qiao Cheng Wei Hong Zhang Yang Li

The index system of coal mine workers’ safety behavior level is built based on its characteristics, nextly empirical analysis is conducted based on structural equation model (SEM), by which the quantitative analysis of safety behavior level can be done scientifically and the difficulty of safety behavior level survey can be broken through. A new idea may be found in coal mine safety management by analyzing the influence factors and their interaction relationship of coal mine workers’ safety behavior level through three aspects——enterprise, environment and employee.

10.14355/ijmser.2015.0201.01

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Citations (1)

Partial discharge monitoring for power transformer using UHF sensors. Part 2: field experience

IEEE Electrical Insulation Magazine (2005)

M.D. Judd Yang Li I.B.B. Hunter

Because of the large capital value of power transformers and their critical role in the electricity network, there is an increasing need for non-intrusive diagnostic and monitoring tools to assess their internal condition. The UHF technique is being applied increasingly to monitor partial discharges (PD) in power transformers and has been shown to be much more sensitive than acoustic techniques when the signal path passes through solid insulation. Field trials were performed on five power transformers ranging in size from 18 to 1000 MVA and in voltage from 25 to 400 kV. The results of PD tests on power transformers provide sufficient evidence to justify making provision for UHF sensors on new transformers to facilitate their monitoring when required during the service lifetime.

10.1109/mei.2005.1437603

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Citations (175)

Parallel machine scheduling optimisation based on an improved multi-objective artificial bee colony algorithm

International Journal of Information Technology and Management (2023)

Yang Li

Aiming at the scheduling model of the same kind of machine, considering that low carbon emission is an urgent problem to be solved in the manufacturing industry, a mathematical model containing the maximum completion time and maximum processing energy consumption was established. In order to balance the local development ability and global search ability of an artificial bee colony algorithm, and improve the convergence speed of the algorithm, a scheduling optimisation method of parallel machine based on improved multi-objective ABC algorithm was proposed. Firstly, a chaotic image initialisation method is proposed to ensure the diversity and excellence of the initial population. Then, the individual threshold is used to dynamically adjust the search radius to improve the search accuracy and convergence speed. Finally, considering the development times of the external archive solution, the evolution is guided by selecting the elite solution reasonably. In order to verify the effectiveness of the algorithm, comparative experiments and performance analysis of the algorithm are carried out on several examples. The results show that the proposed algorithm can solve the scheduling problem of the same kind of machine effectively in practical scenarios.

10.1504/ijitm.2023.131807

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Simulating propagation of UHF signals for PD monitoring in transformers using the finite difference time domain technique

Yang Li M.D. Judd G. Costa

Partial discharge (PD) can be monitored by detecting the signals radiating from PD sources. Ultra high frequency (UHF) sensors have been used to capture the signals. However, external sensors are required to enhance the feasibility for applying the technique to operational transformers. In this paper, the electromagnetic waves escaping from a transformer tank sealing gasket are investigated. The finite difference time domain technique (FDTD), which is widely applicable to electromagnetic computation, is used to model wave transients. The model consists of a tank, oil insulation, a gasket and a hatch plate, which are similar to a real transformer. The wave transients at different locations are simulated. The most favourable places for positioning the sensor are discussed in accordance with the simulated results.

Gasket

10.1109/ceidp.2004.1364274

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Citations (13)

Improved Algorithm for YOLOX-S Object Detection Based on Diverse Branch Block (DBB)

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering (2022)

Li Zhang Fengshan Zou Xiaofeng Wang Zizhong Wei Yang Li

The YOLO series of algorithms are commonly used in the field of object detection, and YOLOX, as one of them, is an improvement on YOLOv5, which improves the detection accuracy but decreases the inference speed. In order to further improve the detection accuracy of YOLOX and solve the problem of slow inference speed, the YOLOX-DBB algorithm is proposed on the basis of YOLOX-S with reference to the idea of structural re-parameterization. Experimental results on the VOC dataset showed that YOLOX-DBB achieved 62.88% mAP0.5:0.95, a 3.47% improvement over YOLOX-S; meanwhile, YOLOX-DBB achieved 82.46% mAP0.5, an improvement of 1.02%. In inference speed, YOLOX-DBB takes only 10.36(ms) to infer a picture, while YOLOX-S takes 12.55(ms) in the same environment. Therefore, the new network has improved detection accuracy, and the inference speed is also faster than the original network. Finally, YOLOX-DBB was applied to the art craft surface defect detection task, and the results showed that it still had better indicators than YOLOX-S.

Speedup

10.1145/3573428.3573715

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Citations (2)