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检索条件"任意字段=Conference on Data Analysis and Modeling for Process Control II"
4791 条 记 录,以下是41-50 订阅
排序:
Dynamic process modeling in Induction Heating Considering Temperature-dependent Magnetic Properties  21
Dynamic Process Modeling in Induction Heating Considering Te...
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IEEE 21st Biennial conference on Electromagnetic Field Computation (IEEE CEFC)
作者: Kong, Xiaohan Kubo, Keito Shimotani, Toshihito Takagi, Sanga Hashimoto, Eiji Imanari, Hiroyuki Igarashi, Hajime Hokkaido Univ Grad Sch Informat Sci & Technol Sapporo Hokkaido Japan Toshiba Mitsubishi Elect Ind Syst Corp TMEIC Tokyo Japan
Owing to the temperature-dependent magnetic properties, steel sheets undergo a dynamic process of eddy current and temperature variation. Accurate modeling is important for the effective control of the heating process... 详细信息
来源: 评论
analysis and modeling of UAV data Collection in IoT Systems Based on Markov Fluid  10
Analysis and Modeling of UAV Data Collection in IoT Systems ...
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10th International conference on Big data and Information Analytics
作者: Dai, Chaofan Zhou, Haohao Tang, QiDeng Natl Univ Def Technol Natl Key Lab Informat Syst Engn Changsha Peoples R China
The rapid development of technologies such as the Internet of Things (IoT) has greatly facilitated various aspects of people's lives and profoundly transformed their daily routines and work environments. Sensor de... 详细信息
来源: 评论
Surrogate modeling for control of Microbial Biopolymer Production process  11
Surrogate Modeling for Control of Microbial Biopolymer Produ...
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11th Vienna International conference on Mathematical Modelling (MATHMOD)
作者: Duerr, Robert Otto, Eric Kok, Rudolph L. Duvigneau, Stefanie Kienle, Achim Bueck, Andreas Magdeburg Stendal Univ Appl Sci D-39114 Magdeburg Germany Otto Guericke Univ D-39106 Magdeburg Germany Max Planck Inst Dynam Complex Tech Syst D-39106 Magdeburg Germany Friedrich Alexander Univ Erlangen Nuremberg D-39058 Erlangen Germany
In this contribution, the Dynamic Mode Decomposition with control (DMDc) is used to derive a surrogate model of a continuous PHA biopolymer production process based on a recently published complex process model. Here,... 详细信息
来源: 评论
Improving Organizational Knowledge control with the use of NLP
Improving Organizational Knowledge Control with the use of N...
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2025 International conference on Intelligent control, Computing and Communications, IC3 2025
作者: Pan, Susovan Kumar Tiwari, Ankita Kalinga University Department of Cs & It Raipur India
Knowledge management has emerged as a key enabler of organisational learning and innovation in the digital era. Over data helps organizations to collect, transform and act upon these insights towards process innovatio... 详细信息
来源: 评论
Device Overlay Root Cause process Detection using Patterned Wafer Geometry Information  38
Device Overlay Root Cause Process Detection using Patterned ...
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conference on Metrology, Inspection, and process control XXXViiI
作者: Ham, Sejung Song, Youngkwang Lee, Cheolwoo Kim, Mingyu Hyun, Minsung Park, Sunghyun Kim, Moonsoup Lee, Jeonghoon Oh, Nanglyeom Park, Sunglyul Choi, Dongsub SK Hynix Inc 2091 Gyeongchung Daero Icheon Si 467701 Gyeonggi Do South Korea KLA Corp 830 Dongtansunhwan Daero Hwaseong Si 18468 Gyeonggi Do South Korea
On-product overlay (OPO) is a critical inline process control parameter in semiconductor manufacturing. One of the main factors that induce the overlay error is non-lithography processes like etching, deposition and c... 详细信息
来源: 评论
Novel Autoencoder Based on Variable Correlation analysis for Industrial Soft Sensing  12
Novel Autoencoder Based on Variable Correlation Analysis for...
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IEEE 12th data Driven control and Learning Systems conference (DDCLS)
作者: He, Yanlin Guo, Shuaifeng Xu, Yuan Zhu, Qunxiong Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing 100029 Peoples R China Minist Educ China Engn Res Ctr Intelligent PSE Beijing 100029 Peoples R China
In today's industrial processes, data-driven soft sensors are a frequently used tool for predicting quality variables. Autoencoder (AE) is an unsupervised algorithm which can extract latent features from initial d... 详细信息
来源: 评论
Digital Twin Empowered Operational Status Monitoring of High-Power Induction Furnaces: A PINN-Based Approach  18
Digital Twin Empowered Operational Status Monitoring of High...
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IEEE 18th International conference on control and Automation (ICCA)
作者: Zhang, Zhao Li, Shen Mao, Wei-Jie Zhejiang Univ Inst Cyber Syst & Control State Key Lab Ind Control Technol Hangzhou 310027 Peoples R China
In the realm of industrial automation and smart manufacturing, improving the efficiency of high-power induction furnaces (IFs) has become an essential goal. Precise monitoring of the operational status is indispensabl... 详细信息
来源: 评论
control-Oriented Gray-Box modeling for Thermoset Injection Molding  11
Control-Oriented Gray-Box Modeling for Thermoset Injection M...
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11th Vienna International conference on Mathematical Modelling (MATHMOD)
作者: Ahlers, Jens Schulte, Christopher Mascher, Moritz Zimmermann, Christoph Vallery, Heike Hopmann, Christian Stemmler, Sebastian Rhein Westfal TH Aachen Inst Automat Control IRT Aachen Germany Rhein Westfal TH Aachen Inst Plast Proc IKV Aachen Germany
Cavity pressure control can enhance the repeatability of injection molding processes. While extensive research has focused on thermoplastic cavity pressure control, there is a notable gap in models and control strateg... 详细信息
来源: 评论
Numerical simulation of control rod ejection velocity in a projectile rod accident based on STAR-CCM+  3
Numerical simulation of control rod ejection velocity in a p...
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2023 3rd International conference on Computational modeling, Simulation and data analysis, CMSDA 2023
作者: Kong, Fanfu Cai, Ruhua Luo, Qingsong Li, Shujie Xu, Huaijin Wuhan Second Ship Design and Research Institute Wuhan430064 China
To simulate and analyze the control rod ejection time in the process of reactor bomb rod accidents, the design input of bomb rod accident safety analysis is made. In this study, STAR-CCM+ simulation software was used ... 详细信息
来源: 评论
Exploring Architectural Choices and Emerging Challenges in data Management for IoT: A Focus on Digital Innovation and Smart Cities  32
Exploring Architectural Choices and Emerging Challenges in D...
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32nd ACM conference on User modeling, Adaptation and Personalization (ACM UMAP)
作者: Barra, Silvio D'Alessandro, Ferdinando Sosovskyy, Oleksandr Univ Naples Federico II Dept Elect Engn & Informat Technol Naples Italy
Digital innovation is an important and evolving process that refers to the transformation and integration of digital technologies into various aspects of everyday life and work. In this context, innovative digital sol... 详细信息
来源: 评论