检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

4,319 篇 会议
89 篇 期刊文献
5 册 图书

馆藏范围

4,413 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,842 篇 工学
- 1,574 篇 控制科学与工程
- 1,133 篇 计算机科学与技术...
- 843 篇 软件工程
- 837 篇 机械工程
- 602 篇 电气工程
- 343 篇 材料科学与工程（可...
- 257 篇 化学工程与技术
- 220 篇 动力工程及工程热...
- 200 篇 电子科学与技术（可...
- 196 篇 信息与通信工程
- 179 篇 仪器科学与技术
- 178 篇 冶金工程
- 109 篇 力学（可授工学、理...
- 99 篇 石油与天然气工程
- 85 篇 交通运输工程
- 83 篇 环境科学与工程（可...
- 79 篇 土木工程
- 72 篇 建筑学
- 72 篇 航空宇航科学与技...
- 72 篇 生物工程
994 篇 理学
- 496 篇 数学
- 261 篇 物理学
- 236 篇 系统科学
- 166 篇 化学
- 133 篇 统计学（可授理学、...
- 82 篇 生物学
576 篇 管理学
- 537 篇 管理科学与工程(可...
- 152 篇 工商管理
77 篇 经济学
- 76 篇 应用经济学
62 篇 医学
27 篇 农学
23 篇 法学
22 篇 教育学
12 篇 军事学
4 篇 文学
1 篇 艺术学

主题

586 篇 process control
404 篇 automation
279 篇 control systems
154 篇 automatic contro...
105 篇 mathematical mod...
93 篇 predictive model...
85 篇 optimization
83 篇 monitoring
79 篇 production
75 篇 real-time system...
69 篇 manufacturing au...
60 篇 accuracy
60 篇 data models
58 篇 hardware
57 篇 robotics and aut...
55 篇 computational mo...
54 篇 costs
54 篇 fuzzy control
53 篇 analytical model...
53 篇 software

机构

85 篇 hubei key labora...
71 篇 school of automa...
45 篇 engineering rese...
26 篇 key laboratory o...
16 篇 university of ch...
16 篇 department of au...
16 篇 key laboratory o...
15 篇 school of automa...
15 篇 school of automa...
15 篇 shenyang institu...
14 篇 school of automa...
14 篇 school of automa...
13 篇 institutes for r...
12 篇 jiangsu automati...
9 篇 school of electr...
9 篇 key laboratory o...
9 篇 institute of adv...
9 篇 natl. lab. indus...
9 篇 college of autom...
8 篇 china electric p...

作者

29 篇 min wu
26 篇 fei liu
20 篇 xin chen
17 篇 weihua cao
17 篇 cheng-lin liu
17 篇 jie zhang
17 篇 liu fei
12 篇 jun liu
11 篇 wu min
11 篇 jinhua she
10 篇 anon
10 篇 hongfeng tao
10 篇 li wei
9 篇 bin wang
9 篇 li yang
9 篇 wojciech paszke
9 篇 alireza fatehi
9 篇 yugang niu
9 篇 wang jun
8 篇 hu wenkai

语言

4,278 篇 英文
73 篇 中文
59 篇 其他
2 篇 法文
1 篇 西班牙文

检索条件"任意字段=Conference on Advanced Process Control and Automation"

共 4413 条记录，以下是11-20 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Unraveling the AI Revolution in Management control Through Comprehensive Bibliometric Analysis 1st

Unraveling the AI Revolution in Management Control Through C...

引用

1st International conference on Electrical Systems and Smart Technologies, ICESST 2024

作者： Radi, Chama Ababou, Mariame Rabiai, Sara Fez Business School Private University of Fez Fez Morocco University Mohammed I Oujda Oujda Morocco Ibn Zohr University Agadir Morocco

ISBN: (纸本)9783031867040

Nowadays, artificial intelligence has become one of the pillars of companies’ business efficiency. To analyze trends in this field, we conducted a bibliometric study of 301 articles published in the Scopus database between 2006 and 2024. The analysis is based on quantitative indicators such as keyword occurrence networks and bibliographic citations. Using this approach, we were able to identify six clusters, each emphasizing specific aspects of integrating AI into business performance. First, digital transformation and AI for business performance, second, decision support systems and performance measurement in industry and supply chains. Third, advanced analytics and machine learning for industry and business optimization. Fourth, new technologies for business process automation and efficiency improvement. Fifth, data-driven strategic management to improve business performance and customer satisfaction. Finally, AI-based human resource management and natural language processing for corporate intelligence. Our findings indicate the growing importance of AI in various aspects of business management. However, our study also revealed research gaps. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Human resource management

来源：评论

学校读者我要写书评

暂无评论

Application of Particle Swarm Optimization Algorithm Based on Adaptive Inertia Adjustment Strategy in Scheduling of the Coking process 26

Application of Particle Swarm Optimization Algorithm Based o...

引用

26th International conference on Industrial Technology, ICIT 2025

作者： Chen, Yiheng Yin, Fan Chen, Xiaochong Ren, Yi Hu, Jie Wu, Min School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9798331521950

The sccheduling for pushing plan during the coking process critically affects the efficiency and stability of production. However, the complexity with mutiple-stage during production makes it difficult to design an efficient coke pushing plan. To address this issue, this paper proposes a scheduling method based on the particle swarm optimization algorithm. Firstly, the fuzzy c-means clustering is utilized to categorize actual operating conditions as either normal or abnormal, thereby facilitating the scheduling of pushing plan under disparate conditions. Subsequently, the scheduling problem for the pushing plan is transformed into a traveling salesman problem, and scheduling models under various conditions are established. Finally, to accelerate the convergence and enhance the algorithm's global search capability, an adaptive inertia adjustment strategy is employed to dynamically regulate the velocity and position of particles. The proposed method has been implemented in the coking process. Through the analysis of application results, the completion coefficient of pushing plan has been increased by 4.25%, demonstrating that the proposed has advantages in scheduling the pushing plan during the actual coking process. © 2025 IEEE.

关键词： Particle swarm optimization (PSO)

来源：评论

学校读者我要写书评

暂无评论

Automated Hydrogen Peroxide Flow control for Optimized Paper Bleaching in Paper Industry

Automated Hydrogen Peroxide Flow Control for Optimized Paper...

引用

advanced Computing Technologies (ICoACT), International conference on

作者： K. Prabhu S. Vijayachitra Sachin A Subasri J Kavin E Department of Electronics and Instrumentation Engineering Kongu Engineering College Erode Tamil Nadu

ISBN: (数字)9798331509859

ISBN: (纸本)9798331509866

The amount and control of chemical additives, including hydrogen peroxide, determine the effectiveness and ecological implications of bleaching techniques for paper. Conventional application processes of hydrogen peroxide during the bleaching stage of paper production tend to provide variable bleaching effects and high consumption of the additive. Such factors are of utmost significance in maintaining product quality as well as minimizing operational costs. This paper discusses an automated system in controlling the flow of hydrogen peroxide, objectives to improve the paper bleaching process effectively and uniformly distribute a chemical additive. In our approach, we couple sophisticated flow control technology with real-time monitoring systems that adjust the flows dynamically based on specific needs of the bleaching process. Sensors continuously measure critical process variables, while maintaining optimal concentration of peroxide at all times with controlled feedback loops. Such automation ensures more precise chemical dosing, results in more uniform bleaching, and paper of better quality. Such a control system for an automated flow significantly improves the efficiency of bleaching compared with conventional systems. It helps in achieving more even brightness in paper and reduces the level of chemicals used in the system, thereby making production environmentally sustainable since chemical waste becomes less and probably negative impacts on the environment decrease.

关键词： Pulp and paper industry Chemical sensors automation Flow production systems Bleaching Hydrogen process control Real-time systems Sensors Chemicals

来源：评论

学校读者我要写书评

暂无评论

Research on Mechanical automation control based on Bidirectional Long Short-Term Memory

Research on Mechanical Automation Control based on Bidirecti...

引用

Intelligent Systems and Computational Networks (ICISCN), International conference on

作者： Xiaolu Song College of Mechanical and Electrical Engineering Zaozhuang Vocational College of Science & Technology China

ISBN: (数字)9798331529246

ISBN: (纸本)9798331529253

The rapid advancement of industrial automation has led to increased reliance on intelligent control systems for optimizing mechanical processes. Traditional automation methods often struggle with dynamic environmental conditions, system uncertainties, and real-time decision-making challenges. Many existing approaches, such as PID controllers and conventional neural networks, fail to effectively handle sequential dependencies in time-series data, resulting in suboptimal system performance. To address these limitations, this research presents an advanced mechanical automation control framework based on a Bidirectional Long Short-Term Memory (BiLSTM) algorithm. The BiLSTM model enhances automation efficiency by capturing long-range dependencies in sequential data, improving predictive accuracy and system adaptability. By leveraging bidirectional processing, the model effectively learns past and future context, leading to superior performance in control precision and response time. Experimental evaluations demonstrate that the proposed framework achieves an accuracy of 98.2%, significantly outperforming conventional automation control techniques in terms of robustness, adaptability, and computational efficiency. This study contributes to the development of intelligent, data-driven mechanical automation systems that align with Industry 4.0 objectives and enhance operational reliability.

关键词： Adaptation models automation Accuracy Uncertainty Decision making Bidirectional long short term memory process control Real-time systems Time factors Intelligent control

来源：评论

学校读者我要写书评

暂无评论

Xiling: Cryo-CMOS 18-bit Dual-DAC Manipulator with 4.6μV Precision and 4.1nV/Hz0.5Noise Co-Integrated with the Single Electron Transistor at 60mK 72

Xiling: Cryo-CMOS 18-bit Dual-DAC Manipulator with 4.6μV Pr...

引用

72nd IEEE International Solid-State Circuits conference, ISSCC 2025

作者： Li, Yingjie Zhang, Yifei Lin, Haichuan Wang, Cheng University of Electronic Science and Technology of China Chengdu China Southern University of Science and Technology Shenzhen China Chengdu Data Automation System Technologies Chengdu China

ISBN: (纸本)9798331541019

Millions of physical quantum-bits (Qubits) are envisioned for a fault-tolerant quantum computer [1]. Compared with the superconducting Qubit or trapped-ions, the silicon spin Qubits are scaling friendly due to the compatibility with the advanced silicon process. Intel recently reveals the fabrication and 1.6K verification of hundreds of Si/SiGe quantum dots on a 300mm Si wafer [2]. In addition, through the Coulomb blockade, the single electron transistor (SET) controls the flow of the electron between the source and drain to a quantum dot built either by a single phosphorus atom on Silicon [3] or a Si/SiGe heterostructure [4] (Fig. 13.4.1). It plays an important role in the Elzerman readout of Si Qubit states [5]. In both of the Si Qubit and SET, the gate voltage sets the energy barrier for the manipulation of the electron spin. For the single electron device with multiple gates, a high precision voltage bias at the source and drain is required to counteract the undesired source-drain offset, which is around 10μV. Therefore, high precision and low noise gate control is crucial for the high-fidelity quantum logic gate. Furthermore, since the Qubits are hosted on the sub-100mK stage of dilution refrigerator, the cabling from room-temp. (300K) control electronics to Qubits is a significant challenge. To this end, the ultra-low power Cryo-CMOS circuitry emerges as a promising solution [6]. © 2025 IEEE.

关键词： Silicon wafers

来源：评论

学校读者我要写书评

暂无评论

Intelligent Monitoring Based on Integrated Temporal Dictionary Learning with Isometric Mapping for Geological Drilling process 26

Intelligent Monitoring Based on Integrated Temporal Dictiona...

引用

26th International conference on Industrial Technology, ICIT 2025

作者： Ma, Tianyu Du, Sheng Fan, Haipeng Huang, Cheng School of Future Technology China University of Geosciences Wuhan430074 China School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9798331521950

Geological drilling process, owing to Complex geological environment and harsh downhole conditions, generates data including characteristics such as pressure, rotational speed, and depth, which are frequently high-dimensional and noisy. These characteristics make real-time monitoring more complex. Existing methods in the geological drilling process, such as rule-based systems and threshold techniques, struggle to handle the complexity and high dimensionality of drilling data, leading to high false alarm rates and low detection accuracy. This paper develops an integrated temporal dictionary learning with isometric mapping method for monitoring geological drilling process. Specifically, Isometric Mapping is employed to perform dimensionality reduction on high-dimensional data, thereby retaining the structural features in the lower-dimensional space. Subsequently, Lasso regularization is applied for sparse coding to extract essential features from the reduced data. To address the fluctuations arising from the iterative dictionary learning process, a temporal smoothing term is incorporated to ensure the stability of the dictionary across different time steps. After that, the reconstruction errors were adopted to achieve comprehensive statistical indicators. Then the overall monitoring was realized for the plant-wide process. The effectiveness and robustness of the proposed method are demonstrated through case studies on the Tennessee-Eastman process and the actual geothermal drilling process. © 2025 IEEE.

关键词： Mapping

来源：评论

学校读者我要写书评

暂无评论

Data-Driven automation in Welding: Leveraging advanced Machine Learning for Quality and Efficiency

Data-Driven Automation in Welding: Leveraging Advanced Machi...

引用

International conference on advanced Communication Technology (ICACT)

作者： Muhammad Omair Khan Md Ariful Islam Mozumder Ibad Ullah Azam Shifat Shima Akter Mon-Il Joo Hee Cheol Kim Institute of Digital Anti-Aging Healthcare Inje University Gimhae-si Republic of Korea Department of Industrial & Management Engineering Inje University Gimhae-si Republic of Korea

ISBN: (数字)9791188428137

ISBN: (纸本)9798331507602

automation in manufacturing has played an important role in optimizing the welding process by attaining the utmost level of quality control with high operational efficiency. This paper analyzes 15,000 welding observations that belonged to the Hanthec organization. Through comparative analysis of SVM, MLP, and Decision Tree algorithms, our research establishes an effective machine learning framework for welding parameter optimization. The Decision Tree model obtained an excellent performance with the best accuracy of 80% and perfect recall. High correlations between power and thermal aspects as high as 0.96 have been obtained. The developed framework enables systematic parameter selection and demonstrates the potential for automated decision-making in industrial welding applications, contributing to improved manufacturing quality and reliability.

关键词： automation Systematics Correlation Welding Decision making Machine learning Quality control Manufacturing Decision trees Reliability

来源：评论

学校读者我要写书评

暂无评论

Intelligent early warning method of power grid failure events based on temporal convolutional neural networks and rule learning 7

Intelligent early warning method of power grid failure event...

引用

2024 7th International conference on Power Electronics and control Engineering, ICPECE 2024

作者： Wang, Yubo Sun, Na School of Electrical and Automation Engineering Liaoning Institute of Science and Technology Liaoning Benxi117004 China

Power grid failure events may bring serious consequences to grid operations, such as power outages and equipment damage. To improve the efficiency and accuracy of intelligent early warnings of power grid failures and ensure safe power grid operation, this study investigates an early warning method of power grid failure events based on temporal convolutional neural networks (TCNN) and rule learning. The main factors influencing the occurrence of power grid failure events are analyzed. Relevant raw grid data are collected through the SCADA system. The TCNN, composed of a time series sampling network and a one-dimensional convolutional neural network, is constructed to predict power grid failure events. To address the issue of missing data in time series, the raw data of power grid failure events is transformed, and its dimensionality is increased. During model training, the Hebbian rule is introduced to improve the activity of the TCNN neurons, improving the accuracy and efficiency of the early warning model by combining it with the intelligent early warning process of power grid failure events. Experimental results indicate that after applying the proposed method, the intelligent early warning time is advanced by more than 3.5 minutes on average. The number of early warning misjudgments ranges from 0 to 3. These results demonstrate that the proposed method achieves good results in terms of early warning time, accuracy, and success rate of power grid failure events, offering more efficient, accurate, and stable early warning support for power grid operation and maintenance. © Published under licence by IOP Publishing Ltd.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Implementation & Application of coherent control systems: Digital Twin (high frequency open loop) with R2R (low frequency closed loop)

Implementation & Application of coherent control systems: Di...

引用

IEEE/SEMI conference and Workshop on advanced Semiconductor Manufacturing

作者： Pratik C. Kotcher Kasturi Sarang Miller Allen Siva Dhandapani Automation Products Group Applied Global Services Va USA Metal Deposition Product Semiconductor Product Group Santa Clara Ca USA Business Development Semiconductor Product Group Santa Clara Ca USA

ISBN: (数字)9798331531850

ISBN: (纸本)9798331531867

A Digital Twin (Applied Twin™) is a computational model that represents a physical asset such as a process chamber, evolving over time to reflect its structure, behavior, and context. This model treats the asset-twin system as a set of coupled dynamical systems that evolve over time, interacting through observed data and control inputs. [1] They are an evolution of modeling & simulation. The Digital Twin (DT) can be useful in integration, testing, monitoring, and maintenance. Eventually it can be utilized as an early and ad hoc fast learning tool for systems and processes. In semiconductor manufacturing, DTs have found their way in their early rudimentary form as control or predictive applications such as for production control applications like planning, scheduling, and dispatching and for equipment and process control applications like, Run-to-Run (Applied SmartFactory™ Run-2-Run) (R2R), Virtual Metrology, and predictive maintenance. Through this paper we explore the idea of idea of engineering DT and R2R algorithms with intersecting system manipulated variables or inputs between the two systems.

关键词： Frequency locked loops automation Computational modeling process control Production control Semiconductor device manufacture Data models Digital twins High frequency Testing

来源：评论

学校读者我要写书评

暂无评论

IoT Enabled Dynamic speed control of Electric Vehicle Based On Vehicle Loan Status

IoT Enabled Dynamic speed Control of Electric Vehicle Based ...

引用

Advancements in Electrical, Electronics, Communication, Computing and automation (ICAECA), International conference on

作者： Ram Prabu J Kamali G P Soundharya M Siddharth J Kandasamy V Dept. of Electrical and Electronics Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

In this paper, we tackle the financial accountability characteristic of vehicle security in relation to other embedded technologies going. We also touch on some of the concerns that lending institutions face owing to loan defaults. It provides automation help for organizations in the monitoring of the loan status and dynamically regulates the speed of electric vehicles in real-time based on delays in repayment, which are usually calibrated against limits hit to set by the bank. A control to keep motor temperatures from reaching dangerous levels and an emergency override option for authorized people are among the system's other features. Without the user's involvement, automated control can change the vehicle's speed; in an emergency, the override capability permits a restricted speed adjustment while providing the bank with sufficient security. This feature of motor temperature monitoring increases safety and includes some aspects of vehicle operation in it as it sends updates about danger avoidance while the vehicle runs under restricted use or for extended periods. This system is aimed to be integrated in EV two wheelers with wheel diameter of 130 mm. The study examines how this system enhances the loan recovery process by mitigating operational risks revolutionizing financial enforcement in the automotive industry by integrating contemporary financial management with advanced embedded technology.

关键词： automation Velocity control Wheels Motors Electric vehicles Aerodynamics Real-time systems Security Vehicle dynamics Monitoring

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共442页 << < 1 2 3 4 5 6 7 8 9 10 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：