Junjie Liu

ORCID: 0000-0002-7757-8949
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Research Areas
  • Adaptive Control of Nonlinear Systems
  • Industrial Technology and Control Systems
  • Advanced Algorithms and Applications
  • Sensorless Control of Electric Motors
  • Fullerene Chemistry and Applications
  • Luminescence and Fluorescent Materials
  • Nanoplatforms for cancer theranostics
  • Carbon Nanotubes in Composites
  • Energetic Materials and Combustion
  • Smart Grid and Power Systems
  • Guidance and Control Systems
  • Power Systems and Technologies
  • Advanced SAR Imaging Techniques
  • Electrostatic Discharge in Electronics
  • Control and Dynamics of Mobile Robots
  • Soft Robotics and Applications
  • High-Voltage Power Transmission Systems
  • Fault Detection and Control Systems
  • Power Systems Fault Detection
  • Advanced Sensor and Control Systems
  • Dynamics and Control of Mechanical Systems
  • Image Enhancement Techniques
  • Natural Language Processing Techniques
  • VLSI and Analog Circuit Testing
  • Synthetic Aperture Radar (SAR) Applications and Techniques

Henan Polytechnic University
2024

Harbin Institute of Technology
2020-2024

Henan University of Economic and Law
2021

Henan University of Science and Technology
2021

Beijing Institute of Technology
2016-2019

Jiangsu University of Science and Technology
2019

Nankai University
2019

North China Electric Power University
2018

Guangxi University
2012

Xi'an Technological University
2010

A series of branched π-conjugated small molecular red aggregation-enhanced emission probes have been synthesized for mechanochromic applications and cell imaging.

10.1039/c8qm00008e article EN Materials Chemistry Frontiers 2018-01-01

Through an analysis of the kinematics and dynamics relations between target positioning manipulator joint angles apple-picking robot, sliding-mode control (SMC) method is introduced into robot servo according to characteristics control. However, biggest problem variable structure chattering, speed, inertia, acceleration, switching surface, other factors are also considered when approaching sliding die surface. Meanwhile, neural network has non-linear function not depending on mechanism model...

10.3390/electronics8060605 article EN Electronics 2019-05-29

Abstract A tuned mass damper (TMD) using shear thickening fluid (STF) as an energy dissipation medium is designed and manufactured. In addition, a TMD incorporating silicone oil (TMD-Si49) fabricated to compare analyze the vibration control performance of TMD-STF. Free vibration, forced random excitation tests are conducted on single degree freedom (SDOF) structure model equipped with TMD-STF TMD-Si49, respectively. The displacement acceleration response SDOF recorded TMD-Si49 under...

10.1088/1361-665x/ad2877 article EN Smart Materials and Structures 2024-02-12

Simulated model of loss-of-excitation protection for generator is established in Matlab, and then taking advantage BP neural networks which are most advantageous recognizing patterns, the operation zone active power rotor criterion protecting recognized. Comparing with conventional microcomputer using linear approximation, result shows that method accurate superior.

10.1109/appeec.2009.4918910 article EN 2009-03-01

RPROP network is applied to fault diagnosis of analog circuit in time domain and frequency domain. Also the diagnostic results are made use fuzzy logic carry on further domain, comprehensive integrated two domains. Analyses indicate that using neural effective accurate.

10.1109/ccdc.2009.5195112 article EN Chinese Control and Decision Conference 2009-06-01

Synthetic Aperture Radar (SAR) is widely used in agriculture, remote sensing and many other fields due to its allweather working mode excellent penetration. However, the decipherment of synthetic aperture radar imaging very difficult compared optical images. This problem even worse SAR target recognition. Although traditional feature engineering method helpful for image information content extraction, effect not satisfied with requirements practice. Convolutional neural network an effective...

10.1109/siprocess.2019.8868672 article EN 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP) 2019-07-01

Abstract Accurate recognition and analysis of English semantics is great significance in the application field computer artificial intelligence technology. Traditional text technology has poor real-time accuracy efficiency. This paper constructs an semantic model based on neural networks. By designing framework that integrates LSTM RNN optimizing it basis models, with improved attention mechanisms Bi-LSTM constructed. comparing Bi-LSTM+Attention proposed this other classification constructed...

10.2478/amns-2024-2546 article EN Applied Mathematics and Nonlinear Sciences 2024-01-01

In order to solve the chattering and phase delay problems in traditional sliding mode observer(SMO), this paper proposes an improved observer, which effectively weakens by using a new piecewise function as switching function. At same time, angle compensation is provided for caused introduction of low-pass filter, then arctangent used extract rotor position speed information PMSM. Compared with from simulation results, we can see that control system has obvious advantages reducing chattering,...

10.1088/1742-6596/2030/1/012004 article EN Journal of Physics Conference Series 2021-09-01

Nowadays, with the constant change of public aesthetic standards, a large number new types and themes film programs have emerged. For this reason, paper proposes an improved neural network optimized by mutation ant colony algorithm for automatic acquisition labels, which not only overcomes disadvantages traditional network, such as difficulty in determining weights, slow convergence speed, easiness to fall into local minimum, but also makes up shortcomings faced using alone through gradient...

10.1155/2021/7158051 article EN cc-by Computational Intelligence and Neuroscience 2021-01-01

Modern distance education is a new type of that comes with the development modern information technology. It can break time limit, provide more learning opportunities, lower teaching cost and have broad application prospect. Based on analysis problems encountered in training power enterprises our country existing difficulties, this paper analyzed necessity feasibility constructing system based characteristics training, put forward corresponding construction plan system.

10.1109/ccet.2018.8542169 article EN 2018-08-01

In this paper, the PMSM is taken as research object, and active disturbance rejection controller (ADRC) used to construct speed closed-loop improve system immunity. For nonlinear (NLADRC), it has high tracking accuracy strong anti-interference ability under small disturbance, but linear (LADRC) characteristics of large fast recovery time. Combining advantages NLADRC LADRC avoiding shortcomings both, a / switching control strategy (SADRC) proposed verified on permanent magnet synchronous...

10.1109/ipemc-ecceasia48364.2020.9367928 article EN 2020-11-29

A novel structure of low-voltage trigger silicon-controlled rectifiers (LVTSCRs) with low voltage and high holding is proposed for electrostatic discharge (ESD) protection. The ESD protection device possesses an implant a floating structure. This improvement enhances the current capability gate-grounded NMOS weakens gain rectifier path. According to simulation results, retains characteristic LVTSCRs simultaneously increases 5.53 V, providing effective way meet requirement 5 V CMOS process.

10.1088/1674-1056/ac7b1d article EN Chinese Physics B 2022-06-22

According to the shear thickening effect of fluid (STF), this work proposes use time-varying damping characteristics STF improve traditional tuned mass damper (TMD). Based on TMD principle, min(max ω DMF) method is used find optimal parameter solution frequency ratio and system. Then, taking obtained by as fixed variable STF-TMD, thus analysis process STF-TMD system simplified. At same time, influence physical parameters related coefficient analyzed based computational dynamics technology,...

10.2139/ssrn.4466896 preprint EN 2023-01-01
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