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检索条件"任意字段=Conference on Data Analysis and Modeling for Process Control"
58338 条 记 录,以下是521-530 订阅
排序:
Classification of Production process Phases with Multivariate Time Series Techniques  22
Classification of Production Process Phases with Multivariat...
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22nd International conference on Research and Education in Mechatronics
作者: Schmitt, Anna-Maria Antonov, Anna Schmitt, Jan Engelmann, Bastian Tech Univ Appl Sci Wurzburg Schweinfurt Inst Digital Engn Schweinfurt Germany
This article presents an approach for using Multivariate Time Series Classification (MTSC) to determine the basic production phases from the data of a numerical control (NC) of a manufacturing machine. The milling pro... 详细信息
来源: 评论
A data-driven Physical Mechanism modeling Method for the Spin-Exchange Relaxation-Free Comagnetometer  12
A Data-driven Physical Mechanism Modeling Method for the Spi...
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IEEE 12th data Driven control and Learning Systems conference (DDCLS)
作者: Li, Feng Wang, Zhuo Zhang, Min Wang, Ruigang Qin, Bodong Chai, Yanchao Beihang Univ Sch Instrumentat Sci & Optoelect Engn Beijing 100191 Peoples R China Beihang Univ Zhejiang Prov Key Lab Ultra Weak Magnet Field Spa Hangzhou Innovat Inst Hangzhou 310051 Peoples R China
The Spin-Exchange Relaxation-Free Comagnetometer (SERFCM) is a new quantum instrument with ultra-high accuracy. Normally, the atomic ensembles of SERFCM operate in an open-loop state, which is not conducive to long-te... 详细信息
来源: 评论
IMFlow: Inverse modeling with Conditional Normalizing Flows for data-Driven Model Predictive control  63
IMFlow: Inverse Modeling with Conditional Normalizing Flows ...
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63rd IEEE conference on Decision and control, CDC 2024
作者: Zhang, Yi Mikelsons, Lars University of Augsburg Chair of Mechatronics Faculty of Applied Computer Science Germany
Inverse modeling is the process uncovering the relationships from the system observations to its inputs. It is essential in various fields such as control, robotics, and signal processing. We propose an inverse modeli... 详细信息
来源: 评论
modeling a Heavy-duty Vehicle data Collection process for Authenticating Driver Identity and Analyzing Driver Behavior Under Duress  19
Modeling a Heavy-duty Vehicle Data Collection Process for Au...
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19th Annual International IEEE conference on System of Systems Engineering (SoSE)
作者: Biggs, Tyler Lanigan, Trevor Ruddell, David Gallegos, Erika E. Daily, Jeremy Colorado State Univ Syst Engn Dept Ft Collins CO 80523 USA Univ North Carolina Wilmington Coll Sci & Engn Lapetus Solut Inc Wilmington NC USA
Heavy-duty vehicle security is critical to safeguarding the supply chain of essential goods and materials. Implementing a continuous driver authentication system based on unique driving behaviors enhances security thr... 详细信息
来源: 评论
Research on Aircraft System Architecture modeling Method and Structured data General Management Based on SysML  8
Research on Aircraft System Architecture Modeling Method and...
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8th International conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2024
作者: Zhang, Hong Xu, Jian Li, Cui Li, Haomin Zhang, Xinai Zhan, Chao Shanghai Aircraft Design and Research Institute Shanghai China
With the increasing complexity of aircraft, document-based systems engineering has gradually become inadequate, and model-based systems engineering has become a hot issue in the aviation industry and academia. In view... 详细信息
来源: 评论
A transformation framework from SLIM to XSAP models for system safety analysis  3
A transformation framework from SLIM to XSAP models for syst...
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3rd International conference on Electronic Information Engineering, Big data, and Computer Technology, EIBDCT 2024
作者: Xiao, Xi Hu, Jun Wang, Lisong Nanjing University of Aeronautics and Astronautics Nanjing211106 China
In recent years, the safety of complex system applications has received increasing attention. The SLIM language provides a cohesive and unified approach to modeling systems in the aerospace domain. However, there are ... 详细信息
来源: 评论
Lifelong Bayesian Learning Machines for Streaming Industrial Big data
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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2023年 第3期53卷 1554-1565页
作者: Yang, Zeyu Zheng, Junhua Ge, Zhiqiang Huzhou Univ Sch Engn Huzhou 313000 Peoples R China Zhejiang Univ Sci & Technol Sch Automat & Elect Engn Hangzhou 310023 Peoples R China Zhejiang Univ State Key Lab Ind Control Technol & Coll Control Hangzhou 310027 Peoples R China Zhejiang Univ Coll Control Sci & Engn Hangzhou 310027 Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110004 Peoples R China Peng Cheng Lab Shenzhen 518000 Peoples R China
With the advent of the big data era and the timeliness requirements of data processing, a large amount of streaming industrial big data is continuously obtained in real time. Facing this kind of flowing and time-varyi... 详细信息
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A Secure Enhancement Scheme for Interworking Privacy-Preserving Multi-Party Collaborative modeling  24
A Secure Enhancement Scheme for Interworking Privacy-Preserv...
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2024 International conference on Computing, Machine Learning and data Science, CMLDS 2024
作者: Jiang, Yiwen Jiang, Jiawei Zhang, Ge Song, Jimeng Wang, Wanwan Big Data Center of State Grid Corporation of China Beijing China InsightOne Tech Co. Ltd. Shenzhen China
Multi-party collaborative modeling allows different participants to build machine learning models without revealing the local data. Federated Learning (FL) is currently the main technique to achieve multi-party collab... 详细信息
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A Practical Approach to data Digitalization Application for Boosting Production Enhancement Activities in Malaysia's Aging Brown Fields Following the Feasibility Study of Electrical Submersible Pump at the National Level
A Practical Approach to Data Digitalization Application for ...
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2025 International Petroleum Technology conference, IPTC 2025
作者: Segaran, T. Chandra Sidek, M.A.M. Trjangganung, K. Kamaruddin, I.I. Ahnap, M.A.S. Universiti Teknologi Malaysia Johor Skudai Malaysia Mise Energy Sdn. Bhd. Kuala Lumpur Malaysia
With over 80% of Malaysia's fields relying on gas lift, a late life crisis is evident, prompting secondary and tertiary production enhancements to sustain oil production. Challenges like gas lift gas shortages, ag... 详细信息
来源: 评论
Q-Learning-Based Multi-Rate Optimal control for process Industries
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 2023年 第6期70卷 2006-2010页
作者: Xia, Zhenxing Hu, Mengjie Dai, Wei Yan, Huaicheng Ma, Xiaoping China Univ Min & Technol Engn Res Ctr Intelligent Control Underground Space Sch Informat & Control Engn Xuzhou 221116 Peoples R China East China Univ Sci & Technol Minist Educ Key Lab Adv Control & Optimizat Chem Proc Shanghai 200237 Peoples R China
This brief studies the multi-rate optimal control problem for a class of industrial processes, whose controlling rate will be set faster than the sampling rate sometimes. This multi-rate phenomenon makes the accurate ... 详细信息
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