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| A Model of Spray Tool and a Parameter Optimization Method for Spraying Path Planning 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 1017-1031 作者: Ruxiang Hua; Wei Zou; Guodong Chen; Hongxuan Ma; Wei Zhang Adobe PDF(3022Kb)  |  收藏  |  浏览/下载:146/43  |  提交时间:2023/07/04 Digital camouflage spraying robot path optimization parameter setting coating thickness uniformity |
| Observer-based Multirate Feedback Control Design for Two-time-scale System 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 1007-1016 作者: Ravindra Munje; Wei-Dong Zhang Adobe PDF(1662Kb)  |  收藏  |  浏览/下载:219/50  |  提交时间:2021/11/26 Feedback control multirate sampling sequential observer two-stage design two-time-scale system |
| A Signal Based “W” Structural Elements for Multi-scale Mathematical Morphology Analysis and Application to Fault Diagnosis of Rolling Bearings of Wind Turbines 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 993-1006 作者: Qiang Li; Yong-Sheng Qi; Xue-Jin Gao; Yong-Ting Li; Li-Qiang Liu Adobe PDF(1828Kb)  |  收藏  |  浏览/下载:183/49  |  提交时间:2021/11/26 Fault diagnosis structural element multi-scale mathematical morphology rolling bearing correlation analysis |
| Encoding-decoding Network With Pyramid Self-attention Module for Retinal Vessel Segmentation 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 973-980 作者: Cong-Zhong Wu; Jun Sun; Jing Wang; Liang-Feng Xu; Shu Zhan Adobe PDF(1416Kb)  |  收藏  |  浏览/下载:166/38  |  提交时间:2021/11/26 Retina vessel segmentation deep learning U-Net attention mechanism medical image |
| Research on Voiceprint Recognition of Camouflage Voice Based on Deep Belief Network 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 947-962 作者: Nan Jiang; Ting Liu Adobe PDF(1905Kb)  |  收藏  |  浏览/下载:206/46  |  提交时间:2021/11/26 Disguised voice recognition deep belief network feature extraction Gammatone frequency cepstrum coefficients (GFCC) dropout |
| Fault Information Recognition for On-board Equipment of High-speed Railway Based on Multi-neural Network Collaboration 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 935-946 作者: Lu-Jie Zhou; Jian-Wu Dang; Zhen-Hai Zhang Adobe PDF(1263Kb)  |  收藏  |  浏览/下载:211/45  |  提交时间:2021/11/26 Train control system Chinese named entity recognition (NER) character feature gating mechanism bidirectional long short-term memory (BiLSTM) |
| Mechanical Design and Dynamic Compliance Control of Lightweight Manipulator 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 926-934 作者: Shao-Lin Zhang; Yue-Guang Ge; Hai-Tao Wang; Shuo Wang Adobe PDF(1817Kb)  |  收藏  |  浏览/下载:209/48  |  提交时间:2021/11/26 Lightweight manipulator mechanical design dynamic trajectory planning compliance control robot control |
| Improved Network for Face Recognition Based on Feature Super Resolution Method 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 915-925 作者: Ling-Yi Xu; Zoran Gajic Adobe PDF(1989Kb)  |  收藏  |  浏览/下载:175/41  |  提交时间:2021/11/26 Face recognition feature super resolution multiple-branch network deep learning convolutional neural networks |
| Dynamic Event-triggered Control and Estimation: A Survey 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 857-886 作者: Xiaohua Ge; Qing-Long Han; Xian-Ming Zhang; Derui Ding Adobe PDF(3887Kb)  |  收藏  |  浏览/下载:203/39  |  提交时间:2021/11/26 Networked systems dynamic event-triggered control dynamic event-triggered estimation dynamic event-triggered mechanisms vehicle active suspension system water distribution and supply system |
| Simultaneous Stabilization of Port-Hamiltonian Systems Subject to Actuation Saturation and Input Delay 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 849-854 作者: Liang-Cheng Cai Adobe PDF(2197Kb)  |  收藏  |  浏览/下载:205/36  |  提交时间:2021/09/13 Port-Hamiltonian system (PH) simultaneous stabilization actuator saturation input delay Lyapunov-Krasovskii function |