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1,450 results on '"Liu, Chunmei"'

111. Gallium-introduced bimetal sites in indium-gallium metal organic framework for efficient electrocatalytic reduction of carbon dioxide into formate

Author

Gao, Yang, primary, Xiao, He, additional, Ma, Xiaofang, additional, Yue, Zhizhu, additional, Liu, Chunmei, additional, Zhao, Man, additional, Zhang, Li, additional, Zhang, Jun-Ming, additional, Luo, Ergui, additional, Hu, Tianjun, additional, Lv, Baoliang, additional, Jia, Jianfeng, additional, and Wu, Haishun, additional

Published
2024
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117. Effect of microwave drying on TiO2–Y2O3–ZrO2composite ceramics and drying kinetic study

Author

Liu, Chunmei, Ren, Chunxiao, Zhou, Ju, Wu, Yibing, Omran, Mamdouh, Tang, Ju, Zhang, Fan, and Chen, Guo

Abstract

TiO2–Y2O3–ZrO2composite ceramics exhibit excellent abrasion resistance, corrosion resistance, and high-temperature resistance, making them vital structural-functional materials in ceramics and refractories. The key to preparing high-quality TiO2–Y2O3–ZrO2ceramic powders lies in controlling the agglomeration rate, which can be optimized by choosing an appropriate drying method. This study utilized microwave drying techniques to dehydrate TiO2–Y2O3–ZrO2ceramic powders. It was found that the average drying rate is proportional to initial masses, initial moisture contents and microwave heating powers. To describe the drying process, four models—the Quadratic, Wang and Singh, Modified Page, and Page—were employed. The best model for the drying process was the Modified Page model. The specimens were analyzed to assess the alterations in the samples pre and post-drying by scanning electron microscopy and Fourier transform infrared spectroscopy. The findings revealed that microwaves can hasten the drying process of TiO2–Y2O3–ZrO2and enhance its spread. Utilizing Fick's second law, the effective diffusion coefficient was ascertained, showing an inverse proportionality to the sample mass, and a proportionality to the microwave heating power and initial moisture content. Using the Arrhenius exponential model, it was ascertained that the microwave drying process's activation energy stands at 13.81834 W/g. This paper demonstrates that microwave drying effectively achieves efficient drying and lays the theoretical and experimental groundwork for the microwave heating and drying of other powdered materials.

Published
2024
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121. Efficiency of Federated Learning and Blockchain in Preserving Privacy and Enhancing the Performance of Credit Card Fraud Detection (CCFD) Systems.

Author

Baabdullah, Tahani, Alzahrani, Amani, Rawat, Danda B., and Liu, Chunmei

Subjects
CREDIT card fraud, FEDERATED learning, ARTIFICIAL neural networks, FRAUD investigation, MACHINE learning, BLOCKCHAINS
Abstract

Increasing global credit card usage has elevated it to a preferred payment method for daily transactions, underscoring its significance in global financial cybersecurity. This paper introduces a credit card fraud detection (CCFD) system that integrates federated learning (FL) with blockchain technology. The experiment employs FL to establish a global learning model on the cloud server, which transmits initial parameters to individual local learning models on fog nodes. With three banks (fog nodes) involved, each bank trains its learning model locally, ensuring data privacy, and subsequently sends back updated parameters to the global learning model. Through the integration of FL and blockchain, our system ensures privacy preservation and data protection. We utilize three machine learning and deep neural network learning algorithms, RF, CNN, and LSTM, alongside deep optimization techniques such as ADAM, SGD, and MSGD. The SMOTE oversampling technique is also employed to balance the dataset before model training. Our proposed framework has demonstrated efficiency and effectiveness in enhancing classification performance and prediction accuracy. [ABSTRACT FROM AUTHOR]

Published
2024
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139. Low-dislocation-density ultrafine lamellar structure buffering triples ductility in Cu-8wt.%Sn alloy treated by rotary swaging and appropriate annealing

Author

Zhao, Lun, primary, Chen, Liangguo, additional, Luo, Boyi, additional, Liang, Yuanxin, additional, Shi, Junqi, additional, Zhang, Shunran, additional, Lin, Zhongze, additional, Shi, Peijian, additional, Zheng, Tianxiang, additional, Zhou, Bangfei, additional, Guo, Yifeng, additional, Li, Qiang, additional, Liu, Chunmei, additional, Shen, Zhe, additional, Ding, Biao, additional, and Zhong, Yunbo, additional

Published
2023
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144. Atomic diffusion in liquid Al–Cu melt under static magnetic fields.

Author

Zhou, Bangfei, Lin, Wenhao, Liu, Ying, Cai, Hao, Zheng, Tianxiang, Liu, Chunmei, and Zhong, Yunbo

Subjects
MAGNETIC fields, MAGNETIC flux density, MELTING, LIQUIDS, DIFFUSION coefficients
Abstract

Atomic diffusion is a natural phenomenon in liquid melt. Avoiding the melt convection is the most challenging when accuracy in measuring the diffusion coefficient of atoms is desired. The diffusion in liquid Al–Cu melts is studied under various static magnetic fields (SMFs). Thermoelectric magnetic convection is induced during the diffusion in the conductive crucible. It is suppressed by increasing the magnetic flux density or eliminated by using an insulated crucible. The interdiffusion coefficient can be accurately measured in the SMF greater than 3 T. The present work provides a new view to study the solidification of alloys under the SMF. [ABSTRACT FROM AUTHOR]

Published
2022
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