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

15,266 篇 会议
109 册 图书
103 篇 期刊文献

馆藏范围

15,477 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

9,010 篇 工学
- 5,113 篇 计算机科学与技术...
- 3,937 篇 软件工程
- 3,779 篇 控制科学与工程
- 2,615 篇 电气工程
- 1,531 篇 信息与通信工程
- 1,256 篇 机械工程
- 1,246 篇 电子科学与技术（可...
- 953 篇 动力工程及工程热...
- 747 篇 生物工程
- 703 篇 生物医学工程（可授...
- 623 篇 仪器科学与技术
- 536 篇 化学工程与技术
- 499 篇 交通运输工程
- 466 篇 光学工程
- 365 篇 安全科学与工程
- 346 篇 力学（可授工学、理...
- 302 篇 材料科学与工程（可...
- 296 篇 土木工程
4,126 篇 理学
- 2,094 篇 数学
- 1,193 篇 物理学
- 808 篇 生物学
- 720 篇 系统科学
- 520 篇 统计学（可授理学、...
- 484 篇 化学
1,711 篇 管理学
- 1,312 篇 管理科学与工程(可...
- 574 篇 工商管理
- 479 篇 图书情报与档案管...
497 篇 医学
- 459 篇 临床医学
- 410 篇 基础医学(可授医学...
- 302 篇 药学(可授医学、理...
235 篇 经济学
224 篇 法学
203 篇 农学
101 篇 教育学
51 篇 军事学
36 篇 文学
18 篇 艺术学

主题

817 篇 control systems
703 篇 automatic contro...
313 篇 computer science
305 篇 computational mo...
275 篇 mathematical mod...
254 篇 automation
225 篇 real-time system...
222 篇 computer archite...
204 篇 neural networks
196 篇 internet of thin...
156 篇 monitoring
149 篇 process control
146 篇 optimization
145 篇 switches
141 篇 stability analys...
141 篇 automatic voltag...
139 篇 deep learning
139 篇 cloud computing
137 篇 application soft...
129 篇 image segmentati...

机构

105 篇 school of automa...
85 篇 lovely professio...
34 篇 school of electr...
31 篇 department of co...
30 篇 department of el...
29 篇 department of el...
29 篇 mlr institute of...
26 篇 chitkara univers...
24 篇 college of medic...
24 篇 department of el...
23 篇 department of el...
21 篇 college of elect...
21 篇 radiology techni...
21 篇 galgotias univer...
19 篇 centro de invest...
19 篇 school of optica...
19 篇 college of elect...
18 篇 new horizon coll...
18 篇 beijing aerospac...
17 篇 department of au...

作者

25 篇 singh bhim
22 篇 g. silva-navarro
20 篇 mengchu zhou
19 篇 k.g. shin
19 篇 wang wei
17 篇 loukianov alexan...
16 篇 wang jing
15 篇 kang hee-jun
15 篇 yang yang
15 篇 m. a. reyes-barr...
14 篇 silva-navarro g.
14 篇 j.a. moreno-cade...
14 篇 valeriy vyatkin
14 篇 l. leija
13 篇 alexander g. lou...
13 篇 liu yang
12 篇 leija l.
12 篇 liu jun
12 篇 manish gupta
10 篇 flores-nava l.m.

语言

14,965 篇 英文
403 篇 其他
154 篇 中文
3 篇 西班牙文
1 篇 土耳其文

检索条件"任意字段=International Conference on Electrical Engineering Computing Science and Automatic Control"

共 15478 条记录，以下是211-220 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：

Exploring the Potential of Machine Learning in Automated Real-Time Data Analysis Systems 15

Exploring the Potential of Machine Learning in Automated Rea...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Chandrakala, P. Meshram, Vishal A. Meena, Mansingh Nithya, M.S. Alam, Intekhab Kumar, V. Mathan Prince Shri Venkateshwara Padmavathy Engineering College Department of Electrical and Electronics Engineering Chennai127 India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Vivekananda Global University Department of Electrical Engineering Jaipur India Department of Computer Science and Information Technology Karnataka Bangalore India Maharishi University of Information Technology Maharishi School of Engineering and Technology Uttar Pradesh India Karpagam Academy of Higher Education Department of Computer Science Coimbatore641021 India

ISBN: (纸本)9798350370249

This paper explores the current country of gadget learning and its capability to allow real-time records analysis. Automated actual-time statistics analysis structures enable business specialists to reply to situations by extracting complicated patterns faithfully. Gadget learning techniques can assist these units by allowing algorithms to analyze previously amassed information and generalize these consequences to novel scenarios. This paper examines the latest developments in device learning algorithms that will likely be leveraged in automatic actual-time facts evaluation structures. The report also considers challenges associated with data education and the mission's generation selection. ultimately, the paper discusses numerous processes for integrating gadget getting to know into real-time records analytics systems that could permit agencies to take complete advantage of the significant ability of machine mastering. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

MPC-based Optimization Design for 3D Collision Avoidance of a Mobile Manipulator Based-on Obstacle Velocity Estimation

MPC-based Optimization Design for 3D Collision Avoidance of ...

引用

2024 international automatic control conference, CACS 2024

作者： Song, Kai-Tai Lin, Chih-Hsuan Institute of Electrical and Control Engineering College of Electrical and Computer Engineering National Yang Ming Chiao Tung University 1001 Ta Hsueh Road Hsinchu Taiwan

ISBN: (纸本)9798350354904

This paper presents an optimization design of 3D dynamic obstacle avoidance for a mobile manipulator based on model predictive control (MPC). The design enables a mobile manipulator to achieve optimized 3D collision avoidance motion with shorter avoidance path and faster avoidance time. A 3D LiDAR is installed onboard the robot to acquire environmental point cloud and estimate obstacle velocity. The MPC is designed to track an initial 3D path of the mobile manipulator and avoid any static and dynamic obstacles in real time. Experimental results show that the proposed method can simultaneously avoid static and dynamic obstacles in 3D space. Compared with baseline algorithms without velocity estimation, the proposed method reduces the avoidance path length by 8.27% and path execution time by 13.79%. © 2024 IEEE.

关键词： Predictive control systems

来源：评论

学校读者我要写书评

暂无评论

Developing a Smart Drip Infusion System to Elevate Precision in Healthcare 4

Developing a Smart Drip Infusion System to Elevate Precision...

引用

4th international conference on Ubiquitous computing and Intelligent Information Systems, ICUIS 2024

作者： Molefinyane, Sefemo Yahya, Abid Hamsadhwani, V. Rohini, R. Samikannu, Ravi Begam, K.Maruliya Botswana International University of Science and Technology Department of Electrical and Communications Systems Engineering Palapye Botswana Periyar Maniammai Institute of Science and Technology Department of Electrical and Electronics Engineering Thanjavur India Vivekanandha College of Engineering for Women Department of Computer Science and Engineering Tiruchengode India Saveetha School of Engineering Saveetha Institute of Medical and Technology Science Department of Computer Science and Communications Engineering Tiruchengode India

ISBN: (纸本)9798331529635

Intravenous (IV) therapy is a critical component of modern healthcare, yet traditional IV systems are prone to human errors, manual adjustments, and limited monitoring capabilities, which can jeopardize patient safety and hinder healthcare efficiency. This paper presents the development of the Smartdrip IV Infusion System, a sophisticated and automated solution that integrates advanced sensors, control algorithms, and intuitive user interfaces to address these limitations. The Smartdrip system minimizes human intervention, provides real-time monitoring, and automates fluid administration with enhanced precision and safety features. The system demonstrates high reliability through simulation and prototype testing in detecting anomalies, issuing alerts, and ensuring accurate infusion rates, thereby improving patient outcomes and reducing healthcare provider workload. The results validate the Smartdrip system as a transformative approach to optimizing IV therapy in diverse clinical settings. © 2024 IEEE.

关键词： Automated Infusion System Drip Rate Monitoring Healthcare Automation Intravenous Therapy Patient

来源：评论

学校读者我要写书评

暂无评论

Design and Integration of automatic control System Based on Artificial Intelligence 13th

Design and Integration of Automatic Control System Based on ...

引用

13th international conference on Frontier computing, FC 2023

作者： Liao, Xiaobing Wu, Liping Shanghai Publishing and Printing College Shanghai200093 China

ISBN: (纸本)9789819995370

Since the reform and opening up, with the modernization of our country's socialist market economy, the development of science and technology has also changed rapidly. Under the current international situation, competition among countries has become more intense, and various industries are vying for hegemony. In order to obtain more economic benefits, it is necessary to reduce the necessary working hours in society and improve work efficiency. The experimental results can be drawn that the pso algorithm with initialization function not only converges quickly, but they can also maintain the diversification of ant colony data in a small range, making it similar to or even better than the zn-pso algorithm. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Robust Heart Rate Monitoring System: Contactless Approach using Fast Fourier Transform 15

Robust Heart Rate Monitoring System: Contactless Approach us...

引用

15th international conference on Advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Sujatha, E. Divya, M. Nandhini, I. Raju, D. Naveen Chennai India Chennai India Department of Electronics and Communication Engineering School of Electrical and Communication Vel Tech Rangarajan R&D Institute of Science and Technology Avadi Chennai India Department of Computer Science and Engineering R.M.K. Engineering College Kavaraipettai Chennai India

ISBN: (纸本)9798331300579

Today, to be alive in this world we need to have all our body parts working in good condition and since technology is improving faster day by day everything has become automatic and AI enabled. Measuring the heart-rate (HR) of people has multiple applications in telemedicine, Internet-of-Things (IoT), sports, security, etc. However, sometimes it becomes difficult to use a classic method for measuring HR and it does not support scalability. This project is about giving a solution that works live and gives the HR of a person using web camera. Face detection is combined with object tracking is used to produce a set of frames, which are sampled in the later stages of the pipeline for color variations. The average of the color, in a region of interest (ROI) is chosen on the face, representing a signal which corresponds to the heart rate. Signal processing techniques are used to extract the frequency from the signals obtained. The algorithm used is FFT (Fast Fourier Transform) to make image transformation between frequency and special domain. This method is precise and efficient. And using this system another method is also enabled in which the video of a person is uploaded and the heart rate is found through video. By utilizing object tracking combined with face detection, this method reduces the processing power needed and allows better scaling. The accuracy is 98% compared to the real time existing systems. © Grenze Scientific Society, 2024.

关键词： Fast Fourier transforms

来源：评论

学校读者我要写书评

暂无评论

Multizone Thermal Modelling and Temperature control of Indoor Environment 15

Multizone Thermal Modelling and Temperature Control of Indoo...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Saha, Rohan Das, Bed Prakash Sharma, Kaushik Das Sengupta, Anindita Indian Institute of Engineering Science and Technology Department of Electrical Engineering Howrah Shibpur India Institute of Engineering and Management Department of Electrical Engineering Kolkata India University of Calcutta Department of Applied Physics Kolkata India

ISBN: (纸本)9798350370249

Heating ventilation and air conditioning (HVAC) system is now an integral part of a modern building to achieve occupants' comfort by regulating air parameters like temperature, humidity, etc. So, an optimal operation of the HVAC system is necessary for building energy management but a difficult task due to nonlinear dynamics and stochastic heat gain from the outside and inside activity of a thermal system. In this paper, a temperature control strategy is demonstrated using a domestic air conditioning system for an indoor area considered as multi-zone thermal plant. The grey-box thermal resistance-capacitance based linear modelling approach is adopted to model the dynamic behaviour of an indoor thermal system and a population-based optimization technique is utilized to design an optimal proportional-integral (PI) controller to control the zone temperature by varying air volume through indoor air conditioning system in a real-time manner in presence of environmental disturbances and random occupants' movement. The results obtained demonstrate the effectiveness of the proposed control strategy. © 2024 IEEE.

关键词： HVAC control system Indoor temperature control Indoor thermal modelling PI controller PSO based controller tunning

来源：评论

学校读者我要写书评

暂无评论

IoT-Enabled Asthma Trackers for Children with KNN for Improved Breathing control 5

IoT-Enabled Asthma Trackers for Children with KNN for Improv...

引用

5th IEEE international conference on Advances in electrical, computing, Communication and Sustainable Technologies, ICAECT 2025

作者： Sathyanathan, P. Balachander, K. Pandey, Pramod Srinivasan, V. Prasanna Ganeshbabu, T.R. Muthulekshmi, M. Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Electrical and Electronics Engineering Tamil Nadu Chennai India R.M.K. College of Engineering and Technology Department of Artificial Intelligence and Data Science Tamil Nadu Chennai India Nagpur Campus Maharashtra Pune India R.M.D. Engineering College Department of Information Technology Tamil Nadu Chennai India Department of Electronics and Communication Tamil Nadu Namakkal India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350356236

Managing asthma in children is a complex task that needs constant vigilance and personalized treatments to get the best potential control. For better respiratory management, an Internet of Things (IoT)-enabled pediatric asthma tracking system that uses machine learning (ML) methods, particularly for K-nearest neighbors (KNN), is presented. The system's integration of wearable sensors, which continuously monitor vital signs and environmental conditions, provides a comprehensive view of the child's respiratory health. Asthma exacerbation causes, and trends may be discovered by analyzing the obtained data using KNN algorithms. Analysis allows for the generation of real-time warnings and feedback, allowing caregivers to take proactive steps in reducing risks and optimizing treatment procedures. Our IoT-enabled method for improving respiratory control and decreasing asthma-related consequences in children is feasible and effective in pilot research, including children with asthma. Our research highlights the promise of IoT devices and ML algorithms to transform how pediatric asthma is treated by providing tailored, evidence-based treatments that lead to better health outcomes. © 2025 IEEE.

关键词： Pediatrics

来源：评论

学校读者我要写书评

暂无评论

Evaluation of the electrical Properties of MnO/ZnO:Zn Thin-Films for Potential Applications in Solid-State Supercapacitors 20

Evaluation of the Electrical Properties of MnO/ZnO:Zn Thin-F...

引用

20th international conference on electrical engineering, computing science and automatic control, CCE 2023

作者： Neri-Espinoza, Karen A. Domínguez-Crespo, Miguel A. Andraca-Adame, José A. Peña-Sierra, Ramón Instituto Politécnico Nacional UPIIH-IPN Unidad Profesional Interdisciplinaria de Ingenieria Campus Hidalgo Hidalgo Pachuca Mexico CINVESTAV-IPN Department of Electrical Engineering Mexico City Mexico

ISBN: (纸本)9798350306767

In this work, a bi-layer MnO/ZnO:Zn structure with an approximate thickness of 100 nm for each layer has been successfully synthesized by sputtering. Changes in the electrical properties were evaluated for the potential application for solid-state capacitors as electrodes. The characterization of the layers is carried out through X-Ray Diffraction (XRD), which provides valuable insights into the structural properties. An electrical study employing Frequency Response Analysis (FRA), Bode plots, Voltagetime (V-t), and Current-Voltage (I-V) graphs is conducted to thoroughly examine and understand the electrical behavior of the synthesized layers. XRD results show a MnO phase for the Mn sputtered layer and a mild distortion of the ZnO lattice for the ZnO:Zn co-sputtered layer due to Zn atoms. The electrical study provides a Bode plot where at f100 KHz. At the cutoff frequency (fc) a capacitance value of 142 pF is calculated. The attenuation and reactance effects are also showed in the V-t and I-V graphs. Finally, the time constant (t) is calculated with a square +5V input signal where also a value of capacitance is obtained as 134 pF, indicating a ±10% of tolerance for the value of capacitance at high frequencies (f=500 KHz) for the film, where reactance effects can be improved with several MnO/ZnO:Zn nanostructures as electrodes in series to add the capacitor value revealing a potential application for the structure for solid-state supercapacitors. © 2023 IEEE.

关键词： Zinc oxide

来源：评论

学校读者我要写书评

暂无评论

Predictive Modeling of Stability Indices in Wind-Integrated Multi-Machines Power Systems Using Machine Learning Techniques 4

Predictive Modeling of Stability Indices in Wind-Integrated ...

引用

4th international conference on Power, control and computing Technologies, ICPC2T 2025

作者： Dash, Binayak Tripathy, Manish Samal, Rajat Kanti Department of Electrical Engineering University of VSSUT Burla Burla India

ISBN: (纸本)9798331530402

The main goal of this work is to forecast Transient Energy Conversion (TEC) indicators used to evaluate the security and stability of wind-integrated power systems. Accurate stability assessments are crucial because wind power is intermittent, adding complexity to the system. TEC indices serve as important markers for determining whether a system is stable or unstable. Wind speed and system dynamics fluctuations introduce nonlinear characteristics that standard approaches struggle to handle effectively. Addressing these challenges is vital for ensuring the reliability and security of the electrical grid. Machine learning(ML) algorithms, however, excel in learning from data patterns and adapting to complex, dynamic settings. First, various ML models are tested to predict TEC indicators. Second, polynomial feature transformation with a degree of 2 is applied to capture nonlinearity. Third, hyperparameter tuning is performed using GridSearchCV to optimize model performance. This approach enhances stability evaluation, ensuring the reliability of modern power grids under fluctuating renewable energy conditions. © 2025 IEEE.

关键词： Electric power transmission networks

来源：评论

学校读者我要写书评

暂无评论

A Metaheuristic Approach for Optimal Tuning of PIDDα controller for AVR Performance Improvement 1

A Metaheuristic Approach for Optimal Tuning of PIDDα Contro...

引用

1st international conference on computing, sciences and Communications, ICCSC 2024

作者： Kumari, Chhoti Mahata, Shibendu Kumar, Rahul Kumar, Praveen Dr. B. C. Roy Engineering College Dept. of Electrical Engineering Durgapur India

ISBN: (纸本)9798350353648

This paper presents an effective controller design technique for the automatic voltage regulator system where an additional fractional-order derivative term is incorporated along with the standard PID controller structure, resulting in the PIDD α structure. The proposed controller is tuned using a recently reported metaheuristic optimizer, namely the Manta Ray Foraging Optimization Algorithm (MRFOA). Average per-formance for the proposed approach is studied by considering various performance metrics. Comparison with those of the recently reported controllers of different types demonstrates significant improvement in rise time (0.0682 s) and settling time (0.1044 s) along with competitive peak overshoot characteristics (0.75%) for the proposed MRFOA-PIDDα controller. © 2024 IEEE.

关键词： Three term control systems

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500页 << < 18 19 20 21 22 23 24 25 26 27 > >>

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：