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检索条件"机构=State Key Laboratory of Automatic Control Technology for Mining and Metallurgy Process"
40 条 记 录,以下是1-10 订阅
Altering the Residual Stress in High-Carbon Steel through Promoted Dislocation Movement and Accelerated Carbon Diffusion by Pulsed Electric Current
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Acta Metallurgica Sinica(English Letters) 2023年 第9期36卷 1511-1522页
作者: Kun Yi Siqi Xiang Mengcheng Zhou Xinfang Zhang Furui Du School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing100083China State Key Laboratory of Automatic Control Technology for Mining and Metallurgy Process Beijing102628China
Residual stress in high-carbon steel affects the dimensional accuracy, structural stability, and integrity of components. Although the evolution of residual stress under an electric field has received extensive attent... 详细信息
来源: 评论
RIS-assisted Channel Prediction Model for Mine V2X Systems  5
RIS-assisted Channel Prediction Model for Mine V2X Systems
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5th International Conference on Computer, Big Data and Artificial Intelligence, ICCBD+AI 2024
作者: Cheng, Yuanxun Hu, Qingsong Luo, Yujia Zhang, Yuansheng China University of Mining and Technology School of Information and Control Engineering Xuzhou China Beijing Key Laboratory of Process Automation in Mining & Metallurgy State Key Laboratory of Intelligent Optimized Manufacturing in Mining & Metallurgy Process Beijing China
The complex and dynamic environment of mines leads to time-variability and uncertainty in channel propagation, which affects the stability and reliability of Vehicle-to-Everything (V2X)communication in mine networks. ... 详细信息
来源: 评论
RIS-Aided Localization Method Based on DNN-SSA Fusion in NLOS Scenarios  5
RIS-Aided Localization Method Based on DNN-SSA Fusion in NLO...
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5th International Conference on Computer, Big Data and Artificial Intelligence, ICCBD+AI 2024
作者: Luo, Yujia Hu, Qingsong Cheng, Yuanxun Yuan, Shuya Zhang, Yuansheng China University of Mining and Technology School of Information and Control Engineering Xuzhou China State Key Laboratory of Intelligent Optimized Manufacturing in Mining & Metallurgy Process Beijing China Beijing Key Laboratory of Process Automation in Mining & Metallurgy Beijing China
With the advent of the 6G era, precise positioning and reliable, energy-efficient data transmission have become critical for the Internet of Things. However, high-frequency signals like millimeter-wave and terahertz a... 详细信息
来源: 评论
Rapid prediction of flow and concentration fields in solid-liquid suspensions of slurry electrolysis tanks
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International Journal of Minerals,metallurgy and Materials 2024年 第9期31卷 2006-2016页
作者: Tingting Lu Kang Li Hongliang Zhao Wei Wang Zhenhao Zhou Xiaoyi Cai Fengqin Liu State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China State Key Laboratory of Intelligent Optimized Manufacturing in Mining&Metallurgy Process Beijing 102628China School of Materials Science and Engineering Lanzhou University of TechnologyLanzhou 730050China School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China
Slurry electrolysis(SE),as a hydrometallurgical process,has the characteristic of a multitank series connection,which leads to various stirring conditions and a complex solid suspension *** computational fluid dynamic... 详细信息
来源: 评论
Semantic Segmentation Research of Motion Blurred Images by Event Camera  7
Semantic Segmentation Research of Motion Blurred Images by E...
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7th CAA International Conference on Vehicular control and Intelligence, CVCI 2023
作者: Liu, Xiangyong Yin, Fengfeng Jiang, Wei Fan, Siwen College of Automotive Studies Tongji University State Key Laboratory of Process Automation in Mining & Metallurgy Beijing Key Laboratory of Process Automation in Mining & Metallurgy Bgrimm Technology Group Department of Electromechanical Engineering Shanghai China State Key Laboratory of Process Automation in Mining & Metallurgy Beijing Key Laboratory of Process Automation in Mining & Metallurgy Bgrimm Technology Group Beijing China Linyi Engineering Branch China Railway Jinan Group Co Ltd Linyi China School of Mechatronical Engineering Shanghai China
The semantic segmentation of road objects is a prerequisite for autonomous driving. Rapid or bumpy movement of vehicles can lead to the images to be blurred, which reduces the safety of autonomous driving. This study ... 详细信息
来源: 评论
RIS-assisted Channel Prediction Model for Mine V2X Systems
RIS-assisted Channel Prediction Model for Mine V2X Systems
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Computer, Big Data and Artificial Intelligence (ICCBD+AI), International Conference on
作者: Yuanxun Cheng Qingsong Hu Yujia Luo Yuansheng Zhang School of Information and Control Engineering China University of Mining and Technology Xuzhou China State Key Laboratory of Intelligent Optimized Manufacturing in Mining & Metallurgy Process Beijing Key Laboratory of Process Automation in Mining & Metallurgy Beijing China
The complex and dynamic environment of mines leads to time-variability and uncertainty in channel propagation, which affects the stability and reliability of Vehicle-to-Everything (V2X)communication in mine networks. ... 详细信息
来源: 评论
RIS-Aided Localization Method Based on DNN-SSA Fusion in NLOS Scenarios
RIS-Aided Localization Method Based on DNN-SSA Fusion in NLO...
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Computer, Big Data and Artificial Intelligence (ICCBD+AI), International Conference on
作者: Yujia Luo Qingsong Hu Yuanxun Cheng Shuya Yuan Yuansheng Zhang School of Information and Control Engineering China University of Mining and Technology Xuzhou China State Key Laboratory of Intelligent Optimized Manufacturing in Mining & Metallurgy Process Beijing China Beijing Key Laboratory of Process Automation in Mining & Metallurgy Beijing China
With the advent of the 6G era, precise positioning and reliable, energy-efficient data transmission have become critical for the Internet of Things. However, high-frequency signals like millimeter-wave and terahertz a... 详细信息
来源: 评论
The Prediction Model of SAG Mill Load Based on Industrial Big-data mining
The Prediction Model of SAG Mill Load Based on Industrial Bi...
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第43届中国控制会议
作者: Guicheng Wang Changyu Wang Zhicheng Bai Changliang Guan Min Zhang Xiaobin Li School of Electrical and Electronics Engineering Shanghai Institute of Technology State Key Laboratory of Intelligent Optimized Manufacturing in Mining & Metallurgy Process and Beijing Key Laboratory of Process Automation in Mining & Metallurgy
Regarding the modeling problem of grinding process in mining,taking the operating load of semi-automatic grinding mill as the research object,starting from industrial big data analysis,using data mining methods to est... 详细信息
来源: 评论
Trend-Aware Patch Feature Fusion Transformer for Fault Diagnosis of Vibration Signals
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IEEE Sensors Journal 2025年
作者: Zhang, Ruicong Chu, Fei Qiu, Yazhi He, Dakuo Wang, Fuli China University of Mining and Technology School of Information and Control Engineering Xuzhou221000 China State Key Laboratory of Intelligent Optimized Manufacturing in Mining & Metallurgy Process Beijing Key Laboratory of Process Automation in Mining & Metallurgy Beijing100160 China Northeastern University College of Information Science and Engineering State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Northeastern University College of Information Science and Engineering Shenyang110000 China
The Vision Transformer (ViT) has demonstrated reliable performance in industrial equipment fault diagnosis by capturing global features and long-range dependencies in vibration signals. Nonetheless, when processing vi... 详细信息
来源: 评论
Non-Line-Of-Sight Target Localization in T-Shaped Roadways Using Simo Fmcw Millimeter-Wave Radar
SSRN
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SSRN 2024年
作者: Hu, Qingsong Luo, Yujia Wang, Liudi Cheng, Yuanxun Zhang, Yuansheng Yuan, Shuya Kou, Zhihao School of Information and Control Engineering China University of Mining & Technology Jiangsu Xuzhou221116 China State Key Laboratory of Intelligent Optimized Manufacturing in Mining & Metallurgy Process Beijing100032 China Beijing Key Laboratory of Process Automation in Mining & Metallurgy Beijing100032 China
The hazardous and complex nature of underground mining imposes stringent safety requirements on autonomous driving. T-shaped roadways, common in such environments, present significant challenges for non-line-of-sight ... 详细信息
来源: 评论