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173 results on '"GAO Meng"'

16. Packaging of a MEMS sensor in an active interventional blood pressure monitoring catheter

Author

Xu Guanzhe, Ye Le, Zebo Zhang, Gao Meng, Junshu Lin, and Rongying Yu

Subjects
Materials science, Central venous pressure, Venous blood, Pressure sensor, law.invention, Catheter, Blood pressure, Pressure measurement, law, medicine.artery, Pulmonary artery, medicine, Head (vessel), Biomedical engineering
Abstract

In the field of interventional pressure monitoring catheter, common types of catheters mainly include invasive arterial pressure catheter, central venous pressure catheter, pulmonary artery floating catheter, etc. A common way to measure intravascular pressure with such catheters is to direct arterial or venous blood to a pressure sensor outside the body through a hole in the distal end of the catheter and a drainage canal inside the catheter. The pressure measurement method is indirect, and the accuracy of pressure measurement is easily interfered by the pipeline. In this study, an interventional blood pressure monitoring catheter with MEMS pressure sensor is prepared. The MEMS pressure sensor was placed on metal base at the head of the catheter, which can be used in direct blood pressure measuring. The sensor adopts a two-step packaging method, and the flexible transfer plate is used to realize the conversion of gold wire to copper wire, so as to reduce the material cost of production while ensuring the reliability of packaging.

Published
2021
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17. A Bubble-free Electroosmotic Pump with Polyaniline-wrapped Platinum-coated Titanium Mesh Electrodes

Author

Gao Meng, Qian Yang, Wen Chen, Li Liang, and Ye Le

Subjects
Electroosmotic pump, chemistry.chemical_compound, Materials science, chemistry, Polyaniline, Electrode, Hydrostatic pressure, chemistry.chemical_element, Composite material, Electrochemistry, Current density, Anode, Titanium
Abstract

We developed a bubble-free electroosmotic pump (EOP) with polyaniline-wrapped platinum-coated titanium mesh electrodes. These electrodes prepared by the chronopotentiometry (CP) method show a better redox performance, electrochemical activity and stability. The optimal CP parameters are 0.413 mA of anode current (current density, 1.5 mA/cm2), and 1800 s of anode time (polymerization time). The EOP, assembled with polyaniline-wrapped platinum-coated titanium mesh electrodes, shows a much better performance than that of platinum-coated titanium mesh electrodes. After modification of the electrodes, the flow rate at a voltage of 6 V for purity water increases from 26.9 µL/min to 87.6 µL/min, and the limiting hydrostatic pressure improves from 59.3 Pa/V to 113.9 Pa/V. The polyaniline-wrapped platinum-coated titanium mesh electrodes can also keep undamaged surface morphology and unaltered redox performance after a long time EOP performance test, which can make it suitable for bubble-free uses in microfluidic system, drug delivery, and cooling of microelectronic devices.

Published
2021
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18. Reconstruction Strategy of a Data Center based on CFD Simulation of outdoor wind environment

Author

Zhang Lubingbing, Gao Meng, Zhang Qingke, Wang Wan-jiang, and Lu Dongmei

Subjects
Cfd simulation, Software, business.industry, Computer science, ComputerApplications_MISCELLANEOUS, Data center, Public environment, Computational fluid dynamics, Louver, business, Wind speed, Weather station, Marine engineering
Abstract

Building layout and local climate characteristics have an important influence on the outdoor wind environment of buildings. A good building layout can not only create a comfortable outdoor public environment, but also protect building components from the damage of strong wind environment. Based on the measured annual wind speed data of the local weather station in Karamay, aiming at the strong wind environment of Karamay, this paper uses CFD simulation software Autodesk CFD as simulation tool to simulate the outdoor wind environment of the construction site, and puts forward the design scheme, so that the window louver of a data center in Karamay will not be damaged in the strong wind environment. At the same time, the improvement measures are put forward for the outdoor wind environment problems of the base.

Published
2021
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27. Peg-in-hole assembly of industrial robots based on Object detection and Admittance force control

Author

Caixia Zhang, Wei Yu, Gao Meng, Zehua Zou, Xiangdong Wang, and Wenbing Deng

Subjects
Task (computing), Industrial robot, Admittance, Control theory, Position (vector), Computer science, law, Process (computing), Process control, Robot, Object detection, law.invention
Abstract

The traditional position control of industrial robot is prone to assembly failure due to the position error of assembly target in the situation of peg-in-hole assembly in unknown environment. Based on this, an assembly scheme of industrial robot is designed, which combines object detection, admittance force control and position error estimation. The results show that the object detection meets the requirements of real-time and accuracy, The admittance force control has a good fine-tuning effect in the assembly process, and the position error estimation accuracy is high. The industrial robot can accurately and quickly complete the round hole assembly task when facing the unknown target position.

Published
2021
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28. Effect of Aging Time on the Growth Characteristics of Electrical Treeing in Epoxy Resin-Impregnated Paper.

Author

Wang, Yongqiang, Huang, Ziye, Gao, Meng, Shang, Jing, and Wang, Ziqi

Subjects
TREES (Electricity), EPOXY resins, SCANNING electron microscopes, ELECTRIC fields, INSULATING materials
Abstract

The long-term operation of dry-type transformer bushings at high temperatures can impact the performance of their primary insulation material. This article presents an experimental study of the effect of thermal aging time on electrical treeing in the epoxy resin-impregnated paper. The experimental results show that the electrical treeing pattern along the middle path of the electric field and the interlayer creepage along the average direction of the electric field are closely related to the aging time. Under the effect of thermal aging at 150 °C, the tree-starting voltage of epoxy resin-impregnated paper tends to increase and decrease as the aging time increases. An analysis and discussion of the test results in conjunction with scanning electron microscope (SEM) and energy dispersive spectroscopy (EDS) tests suggest that the destruction of the cross-linked network of the epoxy resin-impregnated paper at 150 °C is a fundamental reason for the significant decrease in the material’s tree-starting voltage and the change in electrical treeing morphology and interlayer creepage. Long-term operation at high temperatures can seriously impact the primary insulation performance of dry-type transformer bushings and requires attention. [ABSTRACT FROM AUTHOR]

Published
2022
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33. Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation.

Author

Zhang, Mengqi, Wu, Shu, Gao, Meng, Jiang, Xin, Xu, Ke, and Wang, Liang

Subjects
RECURRENT neural networks, MACHINE learning
Abstract

The problem of session-aware recommendation aims to predict users’ next click based on their current session and historical sessions. Existing session-aware recommendation methods have defects in capturing complex item transition relationships. Other than that, most of them fail to explicitly distinguish the effects of different historical sessions on the current session. To this end, we propose a novel method, named Personalized Graph Neural Networks with Attention Mechanism (A-PGNN) for brevity. A-PGNN mainly consists of two components: one is Personalized Graph Neural Network (PGNN), which is used to extract the personalized structural information in each user behavior graph, compared with the traditional Graph Neural Network (GNN) model, which considers the role of the user when the node embedding is updated. The other is Dot-Product Attention mechanism, which draws on the Transformer net to explicitly model the effect of historical sessions on the current session. Extensive experiments conducted on two real-world data sets show that A-PGNN evidently outperforms the state-of-the-art personalized session-aware recommendation methods. [ABSTRACT FROM AUTHOR]

Published
2022
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43. Quantized Fuzzy Finite-Time Control for Nonlinear Semi-Markov Switching Systems.

Author

Qi, Wenhai, Gao, Meng, Ahn, Choon Ki, Cao, Jinde, Cheng, Jun, and Zhang, Lihua

Abstract

This brief considers quantized control for finite-time synthesis of nonlinear semi-Markov switching systems (S-MSSs) via T-S fuzzy strategy. The stochastic phenomena of structural and parametric changes are modeled by the semi-Markov process, in which the sojourn-time (ST) is deemed to obey a non-exponential distribution. Compared with previous works, the input quantization is firstly investigated for studying the finite-time control via a logarithmic quantizer. A key issue under the consideration is how to design a fuzzy-model-based finite-time control law in the presence of quantized error. For this purpose, by using the key point of Lyapunov function, the finite-time boundedness (FTBs) performance is analyzed via establishing sojourn-time-dependent sufficient conditions within a given finite-time level. Then, the existence of a quantized controller is given in standard LMIs. Finally, an example for an electric circuit shows the effectiveness of the finite-time control scheme. [ABSTRACT FROM AUTHOR]

Published
2020
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