Wenjuan Lu

ORCID: 0009-0000-3339-5561
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About
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Research Areas
  • Extraction and Separation Processes
  • Experimental Learning in Engineering
  • Industrial Technology and Control Systems
  • Advanced Algorithms and Applications
  • Metal-Organic Frameworks: Synthesis and Applications
  • Advanced Sensor and Control Systems
  • Ionic liquids properties and applications
  • Robotic Mechanisms and Dynamics
  • Recycling and Waste Management Techniques
  • Covalent Organic Framework Applications
  • Simulation and Modeling Applications
  • Metal Extraction and Bioleaching
  • Advancements in Battery Materials
  • Cognitive Radio Networks and Spectrum Sensing
  • Industrial Automation and Control Systems
  • Advanced Computational Techniques and Applications
  • Wireless Communication Networks Research
  • Teleoperation and Haptic Systems
  • Advanced MIMO Systems Optimization
  • Engineering and Technology Innovations
  • Neural Networks and Applications
  • Innovation and Knowledge Management
  • Nanofabrication and Lithography Techniques
  • Distributed Control Multi-Agent Systems
  • Soft Robotics and Applications

Dongguan University of Technology
2022-2025

Shandong First Medical University
2014-2024

Shandong University of Science and Technology
2021-2023

Nanjing University of Posts and Telecommunications
2019

The Fifth People’s Hospital of Suzhou
2017

Wuhan University of Technology
2014-2015

Xinjiang Institute of Materia Medica
2014

Academy of Medical Sciences
2014

Shandong University
2007-2013

University of Alabama
2013

Adsorbents capable of high extraction gold from complex sources, especially electronic waste (EW) and seawater, are needed for resource sustainability effective recycling. Herein, polysulfide-porphyrin polymers (S-PPors) that can effectively extract matrices have been successfully developed. Among them, S-PPor-1 exhibited an adsorption rate 97.59% at pH = 6.0. The capacity Au(III) reached 833.33 2000.00 mg/g, respectively, 25 55 °C under the environment 6, which was more suitable neutral...

10.1021/acsapm.3c02620 article EN ACS Applied Polymer Materials 2024-01-17

A neutral thione extractant, 1,3-diethylimidazole-2-thione (C2C2ImT), was prepared from an ionic liquid (IL), 1,3-diethylimidazolium acetate, and used within a hydrophobic liquid, 1-ethyl-3-methylimidazolium bis(trifluoromethane)sulfonamide ([C2mim][NTf2]), to extract Hg(II) aqueous solutions of HgCl2 or Hg(OAc)2. Investigations the extraction mechanism, spectroscopic analyses extracted species, crystallographic studies interactions C2C2ImT with are reported, including first structurally...

10.1039/c3dt50410g article EN Dalton Transactions 2013-01-01

The extraction is less H<sup>+</sup> dependent with ionic liquid loss and palladium complex crystals can also be quickly prepared.

10.1039/c4ra07563c article EN RSC Advances 2014-01-01

Cognitive Radio is a promising technology to improve the spectrum utilization and ease shortage of resources, quality allocation directly determines utilization. In order explore better solution for in cognitive radio networks, model based on graph theory established describe problem this paper, novel Binary Firefly Algorithm used facilitate optimization, so as maximize network secondary user fair within interference constraint. Finally, simulation results demonstrate that proposed algorithm...

10.1109/idam.2014.6912704 article EN 2014-08-01

Internet time-delay, synchronization of the distributed system, collaboration and data transmission control are key inherent problems in implementation an robot system. To overcome these problems, article combines event-based direct method graphic predictive simulation to achieve a multi-operator dual-arm teleoperation system based on Internet. The construction hardware software this is presented comprehensively. technologies also discussed. In experiment, attains precise position remote...

10.1109/wcica.2002.1020791 article EN 2003-06-25

As the kinematics and statics play a very important role in determining actuating inputs effective loads that end-effector sustains, this article focuses on issue proposes an analytical process to study forward inverse of spatial manipulators. series manipulators parallel show different features statics, discusses them separately. First, velocity problems manipulator linkages are investigated with reciprocal screw theory. Then, static balance conditions together established through virtual...

10.1243/09544062jmes1509 article EN Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science 2009-04-24

A method based on fractal dimension is proposed to identify EEG emotional signals, and introduced as an eigenvalue into emotion recognition research.The design experiment obtains the raw data of experimenter uses experimental video locate capture effective signal from original data.After pre -electron interference low-pass filtering are applied, subjected principal component analysis.The reduction obtained by reducing dimension.The support vector machine (SVM) K nearest neighbor (KNN)...

10.23940/ijpe.19.11.p27.30723080 article EN International Journal of Performability Engineering 2019-01-01

An indirect adaptive control approach is developed in this paper for unknown robots using neural networks (NN). A key property of the proposed that actual joint angle values law replaced by desired angle, angular speed and acceleration, bound on NN reconstruction error assumed to be unknown. Main theoretical results designing such a neuro-adaptive controller are given, performance verified with simulation studies.

10.1109/robot.1999.770371 article EN 2003-01-20

Dose-volume histogram (DVH) is an important tool to evaluate the radiation treatment plan quality, which could be predicted based on distance-volume spatial relationship between planning target volumes (PTV) and organs-at-risks (OARs). However, prediction accuracy still limited due complicated calculation process omission of detailed geometric features. In this paper, we propose a geometric-encoding network (SGEN) incorporate 3D information with efficient 2D convolutional neural networks...

10.3233/ais-210084 article EN Journal of Ambient Intelligence and Smart Environments 2021-12-14

This work presents a leakage identification framework for the coal mine air supply pipeline system based on joint noise reduction and extreme learning machine (ELM). First, vibration signals from are sampled. Then, decomposed by parameter-optimized variational mode decomposition (POVMD), where number is determined via energy difference principle, separation point of low- high-frequency modes identified mutual information entropy. Next, wavelet denoising method an improved threshold function...

10.2139/ssrn.4382975 article EN 2023-01-01

Recoverable gold is not typically present in simple matrices. The precise extraction of from complex substrates, such as electronic waste (EW) and seawater, a significant challenge. This study presents series sulfur-bearing 2D polysulfide-porphyrin covalent organic framework films (S-Py-COFs) that can effectively extract Among the synthesized S-Py-COFs, S-Py-COF-1 exhibited an adsorption rate 97.59% capacity Au (III) reached 2000.00 mg/g at initial pH = 6.0, making it more suitable for Au(Ⅲ)...

10.2139/ssrn.4464268 preprint EN 2023-01-01
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