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229 results on '"Xu, Hongcheng"'

14. Robot Brush-Writing System of Chinese Calligraphy Characters

Author

Li, Jie, Min, Huasong, Zhou, Haotian, Xu, Hongcheng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yu, Haibin, editor, Liu, Jinguo, editor, Liu, Lianqing, editor, Ju, Zhaojie, editor, Liu, Yuwang, editor, and Zhou, Dalin, editor

Published
2019
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22. Bending and Stretching‐Insensitive, Crosstalk‐Free, Flexible Pressure Sensor Arrays for Human‐Machine Interactions.

Author

Yuan, Yangbo, Xu, Hongcheng, Zheng, Weihao, Liu, Min, Li, Sixin, Yan, Junyu, Wang, Daren, Liu, Ke, Zhang, Haiyan, Chen, Gang, Wang, Weidong, Wu, Guirong, Xue, Chenyang, Cheng, Huanyu, and Gao, Libo

Subjects
*PRESSURE sensors, *SENSOR arrays, *WEARABLE technology, *SERPENTINE, *ACQUISITION of data, *SOFT robotics
Abstract

Accurate data acquisition from flexible sensors placed on deformable 3D freeform surfaces is of critical importance for many applications, such as wearable electronics, human‐machine interfaces, and soft robotics. However, the mechanical coupling between the sensor and the deformable subject surface to bending and stretching deformations can significantly reduce the accuracy of the acquired data. This study combines a polyimide (PI) micropore isolation layer (PIL) and serpentine electrodes with a flexible piezoresistive sensor to mitigate the issue of mechanical coupling. As a mechanical buffer to distribute the external pressure and reduce the strain concentration, the PIL can avoid the bending interference for bending curvature up to 256 m−1, while maintaining a high sensitivity of S > 21.5 kPa−1. The serpentine electrode design further allows the sensor to reliably acquire data in the presence of stretching up to 45% without cross‐talk. The versatility of the developed sensor is demonstrated in several human‐machine interaction scenarios, including gesture recognition and motion detection. The design strategies on materials and structures from this study can also be applied for the development of other flexible sensors with high sensitivity and low deformation interference to avoid the mechanical coupling between the sensor and the deformable surface. [ABSTRACT FROM AUTHOR]

Published
2024
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32. A fully integrated, standalone stretchable device platform with in-sensor adaptive machine learning for rehabilitation

Author

Xu, Hongcheng, primary, Zheng, Weihao, additional, Zhang, Yang, additional, Zhao, Yunlong, additional, Wang, Weidong, additional, Yuan, Yangbo, additional, Zhang, Ji, additional, Huo, Zimin, additional, Wang, Yuejiao, additional, Zhao, Ningjuan, additional, Qin, Yuxin, additional, Liu, Ke, additional, Xi, Ruida, additional, Xu, Dandan, additional, Chen, Gang, additional, Tang, Chu, additional, Zhang, Haiyan, additional, Yan, Junyu, additional, Ge, Qi, additional, Cheng, Huanyu, additional, Lu, Yang, additional, and Gao, Libo, additional

Published
2023
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34. Identification of the BcLEA Gene Family and Functional Analysis of the BcLEA73 Gene in Wucai (Brassica campestris L.)

Author

Jiang, Yueyue, primary, Zhang, Shengnan, additional, Xu, Hongcheng, additional, Tian, Hong, additional, Zhang, Mengyun, additional, Zhu, Shidong, additional, Wang, Chenggang, additional, Hou, Jinfeng, additional, Chen, Guohu, additional, Tang, Xiaoyan, additional, Wang, Wenjie, additional, Wu, Jianqiang, additional, Huang, Xingxue, additional, Zhang, Jinlong, additional, and Yuan, Lingyun, additional

Published
2023
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45. Quantitative Evaluation Method for Gas Loss in Underground Natural Gas Storage Reconstructed from Abandoned Gas Reservoirs

Author

Pei Gen, Liao Wei, Zheng Dewen, Zhao kai, Song Lina, Wanyan Qiqi, Wang Jieming, Xu Hongcheng, and Wang Jinkai

Subjects
Underground gas storage, Natural gas storage, Multidisciplinary, Mathematical model, Petroleum engineering, Natural gas, business.industry, Evaluation methods, Environmental science, Diffusion (business), business, Leakage (electronics), Inventory analysis
Abstract

Natural gas loss inevitably occurs during gas injection and production operation in underground gas storage. At present, the study of gas loss is only in the qualitative description stage and cannot meet the quantitative evaluation requirements for economical gas storage. Combining the theory of inventory analysis and the experimental study of the injection-production mechanism and aimed at the phenomena of microseepage, dissolution diffusion, abnormal gas leakage and macroscale gas leakage in the process of injection and production of underground natural gas storage, gas loss evaluation mathematical models are established to quantitatively evaluate the gas loss of underground natural gas storage. The results show that the gas loss in the macrodisplacement process is the main component of geological gas loss in gas storage, which decreases with increasing injection-production cycles. On this basis, a quantitative evaluation method for the natural gas loss of gas reservoir-type gas storage is established, and the accuracy and reliability of the method are verified by the gas loss calculation results of the Banzhongnanbei (BZNB) underground natural gas storage. The validation results show that the calculation error is very small, meeting the requirements of gas storage operation accuracy and providing high application value. This calculation method can effectively reduce the loss of natural gas in gas storage, provide an early warning of leakage risk, and improve the economic benefits and injection-production safety of gas storage.

Published
2021

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