A5009591196- Semiconductor Lasers and Optical Devices
- 2D Materials and Applications
- Photonic and Optical Devices
- Graphene research and applications
- Radiation Effects in Electronics
- Advanced Photonic Communication Systems
- 3D Shape Modeling and Analysis
- Advanced Thermoelectric Materials and Devices
- Advanced Numerical Analysis Techniques
- Power Systems and Renewable Energy
- Computer Graphics and Visualization Techniques
- Distributed and Parallel Computing Systems
- Silicon Carbide Semiconductor Technologies
- MXene and MAX Phase Materials
- Advanced Sensor and Control Systems
- Advanced Algorithms and Applications
- Advanced Memory and Neural Computing
- Semiconductor materials and devices
- Smart Grid and Power Systems
- Power Transformer Diagnostics and Insulation
- Advanced Computational Techniques and Applications
- Graphene and Nanomaterials Applications
- Power Systems and Technologies
- Embedded Systems and FPGA Design
- Parallel Computing and Optimization Techniques
North China University of Water Resources and Electric Power
2017-2025
Xiangtan University
2023-2025
Tianjin Internal Combustion Engine Research Institute
2023-2024
Shandong Jianzhu University
2024
China Automotive Technology and Research Center
2023-2024
Xiamen University
2009-2019
Zhejiang Wanli University
2004-2013
Shandong University of Finance and Economics
2010-2012
Shanghai Maritime University
2009-2011
Kaifeng University
2005-2009
A flexible piezoelectric nanogenerator (PENG) was fabricated based on a new inorganic KNN–BNZ–AS–Fe, which exhibited the great potential in energy harvesting and self-powered mechanosensing.
This research aims to optimize the capacity and location of distributed energy resources in distribution network using a metaheuristic algorithm that uses Improved Beluga Whale Optimization Algorithm(IBWO). incorporates elite reverse learning strategy cyclone foraging while adjusting balance factor enhance diversity population further local search capability with global capability. study optimizes configuration considering uncertainty correlation wind power, photovoltaic load. The...
Traditional shallow machine learning algorithms cannot effectively explore the relationship between fault data of oil-immersed transformers, resulting in low diagnosis accuracy. This paper proposes a transformer method based on Multi-class AdaBoost Algorithms response to this problem. First, algorithm is combined with Support Vector Machines (SVM), The SVM enhanced through algorithm, and deeply explored. Then dynamic weight introduced into Particle Swarm Optimization (PSO); real-time update...
Dissolved gas analysis (DGA) is a widely used method for diagnosing internal transformer defects. The traditional single intelligent diagnostic cannot efficiently process large amounts of incomplete defect information with DGA, which affects the accuracy fault diagnosis. To this end, paper proposes diagnosis based on optimization kernel parameters and weight extreme learning machine (KELM). First, Mercer's theorem, we combine radial basis function polynomial to construct new hybrid function....
Sodium-ion battery (SIB) is a candidate for the stationary energy storage systems because of low cost and high abundance sodium. However, density lifespan SIBs suffer severely from irreversible consumption Na-ions formation solid electrolyte interphase (SEI) layer other side reactions on electrodes. Here, Na
To further improve the understanding of patterns and mechanisms total ionizing dose (TID) radiation damage in carbon nanotube field-effect transistor (CNTFET), this study investigates effects 10 keV X-ray irradiation on N-type P-type CNTFETs. The rate was 200 rad(Si)/s, with cumulative doses 100 krad(Si) for devices 90 devices. This paper explores differences TID between CNTFETs under floating gate bias on-state conditions, as well impact hysteresis characteristics influence channel sizes...
In this article, the impact of <sup>60</sup>Co-γ ray irradiation on double trench SiC metal–oxide–semiconductor field-effect transistors (MOSFETs) was investigated under different condiation. First, effect total ionizing dose(TID) electrical performance device at gate bias voltages carried out. The results indicate that 150 krad (Si) dose, threshold voltage after decreases by 3.28 V and 2.36 for +5 -5 bias, respectively, whereas only 1.36 a 0 bias. drifts in negative direction,...
Online partial discharge (PD) detection for power cables is one reliable means of monitoring their health. However, strong interference by white noise poses a major challenge in the process collecting information on signals. To solve problem whereby wavelet threshold estimation based sample entropy falls into local optimal and reduction makes it difficult to detailed information, we propose signal method combination improved complete ensemble empirical mode decomposition with adaptive...
In order to obtain the Single-Event Burnout (SEB) characteristics of diamond Schottky barrier diode (SBD), two-dimensional model device was established by using TCAD simulation tool, and positive experimental were used calibrate model. On this basis, SBD devices irradiated high-energy Ge ions studied combining SRIM software, influence reverse bias voltage, linear energy transfer (LET) value, depth incidence on single event effect during irradiation process revealed. The results show that...
We explore physical layer security of simultaneous wireless information and power transfer (SWIPT) relay network in this paper. Modeling channel error between eavesdroppers (Eves) as random state (CSI) error, we present an algorithm to optimize secret rate SWIPT the constraints forward power, receiver signal-to-interference-plus-noise ratio (SINR) Eves SINR. A slack variable is introduced decompose original non-convex problem into upper lower sub-problems, meanwhile, Bernstein-type...
Distributed generation equipment improves renewable energy utilization and economic benefits through an storage system (ESS). However, dominated by short-term data, the configuration of long-period ESS capacity is absent based on dynamic change load, which leads to a large deviation from expected return. Considering characteristics lack data less information, after introducing grey theory, we propose new long-term method for establish forecasting model (GFM) user improving basic improve...
In wireless sensor networks (WSNs), due to the limited energy of nodes, how design efficient hierarchical routing algorithms balance network resources and extend life is an important problem be solved. Aiming at problems such as random selection cluster head, redundancy working node, construction head transmission path, which affect consumption, this paper proposes a multihop algorithm based on path tree (MHRA‐PT) optimize energy. Firstly, some nodes are those close base station have large...
Abstract The thermal aging of polypropylene (PP)/SiO 2 nanocomposite films was carried out at 130°C. In contrast to the widely accepted oxidation mechanism, film ruptured far before carbonyl group detected and without a noticeable reduction in molecular weight. Observations with polarizing optical microscopy scanning electron demonstrated that, instead oxidative degradation, least three other factors were responsible for rapid deterioration PP/SiO nanocomposites: (1) recrystallization during...
In view of the distraction and fatigue driving driver, detection research on state sitting based machine vision is carried out. When there an abnormal situation, system will issue alarm signal in time. Through comprehensive face detection, human eye mouth area characteristics under are discussed, image processing technology used to extract driver facial information, then extracted or The processed complete analysis driver's state. posture monitoring performed by discriminating posture. A...
Multi-resolution feature fusion DCF (Discriminative Correlation Filter) methods have significantly advanced the object tracking performance. However, careless choice and of sample features make algorithm susceptible to interference, leading failure. Some trackers embed re-detection module remedy failures, yet distinguishing ability stability are scarcely considered when training detector, resulting in low effectiveness detection. Firstly, this paper proposes a criterion reliability conduct...