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

48,680 篇 会议
335 篇 期刊文献
296 册 图书

馆藏范围

49,310 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

30,923 篇 工学
- 17,868 篇 计算机科学与技术...
- 13,586 篇 软件工程
- 12,501 篇 控制科学与工程
- 5,903 篇 机械工程
- 5,595 篇 电气工程
- 4,537 篇 信息与通信工程
- 2,783 篇 电子科学与技术（可...
- 2,475 篇 仪器科学与技术
- 2,091 篇 动力工程及工程热...
- 1,945 篇 生物工程
- 1,875 篇 交通运输工程
- 1,556 篇 光学工程
- 1,465 篇 生物医学工程（可授...
- 1,464 篇 化学工程与技术
- 1,237 篇 力学（可授工学、理...
- 1,156 篇 安全科学与工程
- 1,143 篇 材料科学与工程（可...
- 1,119 篇 建筑学
- 1,119 篇 土木工程
- 882 篇 冶金工程
12,022 篇 理学
- 6,588 篇 数学
- 3,267 篇 物理学
- 2,087 篇 生物学
- 1,703 篇 系统科学
- 1,619 篇 统计学（可授理学、...
- 1,196 篇 化学
8,043 篇 管理学
- 6,711 篇 管理科学与工程(可...
- 2,154 篇 工商管理
- 1,676 篇 图书情报与档案管...
1,122 篇 医学
- 977 篇 临床医学
875 篇 经济学
654 篇 法学
574 篇 农学
520 篇 教育学
169 篇 军事学
147 篇 艺术学
105 篇 文学
17 篇 历史学
10 篇 哲学

主题

2,861 篇 automation
1,308 篇 control systems
1,139 篇 computational mo...
1,006 篇 feature extracti...
890 篇 accuracy
873 篇 intelligent robo...
761 篇 artificial intel...
747 篇 real-time system...
742 篇 robot sensing sy...
722 篇 neural networks
702 篇 training
702 篇 intelligent syst...
698 篇 robotics and aut...
692 篇 mobile robots
636 篇 internet of thin...
628 篇 mathematical mod...
612 篇 optimization
565 篇 robots
527 篇 predictive model...
517 篇 genetic algorith...

机构

235 篇 maharishi school...
219 篇 school of automa...
196 篇 university of ch...
160 篇 school of automa...
145 篇 institutes for r...
133 篇 school of mechat...
117 篇 shenyang institu...
112 篇 centre of resear...
109 篇 karnataka bangal...
109 篇 school of automa...
101 篇 school of automa...
95 篇 hubei key labora...
85 篇 faculty of infor...
74 篇 school of electr...
72 篇 institute of aut...
67 篇 south china univ...
67 篇 chitkara univers...
65 篇 school of automa...
65 篇 state key labora...
65 篇 department of au...

作者

76 篇 wu xinyu
64 篇 liu yang
48 篇 zhang tao
48 篇 de-shuang huang
46 篇 jian wang
44 篇 xinyu wu
44 篇 wang lei
44 篇 li yang
44 篇 li li
39 篇 wei liu
38 篇 zhang lei
38 篇 jun wang
37 篇 li xin
37 篇 wang jian
35 篇 ge yunjian
33 篇 jun zhang
31 篇 li peng
31 篇 wang jing
30 篇 liu bo
29 篇 lei wang

语言

47,484 篇 英文
960 篇 其他
903 篇 中文
4 篇 西班牙文
4 篇 俄文
3 篇 法文
1 篇 斯洛文尼亚文
1 篇 土耳其文

检索条件"任意字段=International Conference on Intelligent Computation Technology and Automation"

共 49311 条记录，以下是51-60 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：

Label Recoding and Polymorphic Contrastive Learning for Unsupervised Person Re-identification 24

Label Recoding and Polymorphic Contrastive Learning for Unsu...

引用

2nd international conference on Frontiers of intelligent Manufacturing and automation, CFIMA 2024

作者： Wu, Longshuai Wang, Yaping Zhang, Baohua School of Digtial and Intelligence Industry Inner Mongolia University of Science and Technology Inner Mongolia Baotou China School of Automation and Electrical Engineering Inner Mongolia University of Science and Technology Inner Mongolia Baotou China

ISBN: (纸本)9798400710681

Unsupervised learning relies on pseudo-labeling, and the samples in the pseudo-labels generated by clustering may be mixed together to form noisy labels. In order to suppress label noise, a new unsupervised person re-identification method, label recoding and polymorphic comparison learning (LRPCL), is proposed. First, the clustering sample selection mechanism is constructed to screen out irrelevant samples mixed in the clusters, and on the basis of determining the samples at the center point of the clusters, the similarity samples in the adjacent clusters are absorbed by using the substitution method for the purpose of clearing the noisy labels. Second, a polymorphic feature library is constructed to store different types of features, which is more suitable for matching human features and makes the model more robust to pseudo-labeling noise. The model is trained using an asymmetric distillation network to further suppress noisy labels. Experiments on three large person re-identification datasets demonstrate the effectiveness of the method in this paper. © 2024 Copyright held by the owner/author(s).

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Research and Application of Model Relearning in the Prediction ofBlast Furnace Temperature 24

Research and Application of Model Relearning in the Predicti...

引用

2nd international conference on Frontiers of intelligent Manufacturing and automation, CFIMA 2024

作者： Jiang, Zhaoyv Liu, Jiyan Zhang, Yong Inner Mongolia University of Science and Technology Baotou China

ISBN: (纸本)9798400710681

With the development of the steel industry,the accurate temperature prediction in blast furnace is great significance for the optimization of the production process and the improvement of product quality. This study focuses on the application of model re-learning in the temperature prediction of blast ***, the proposed approach divides the input and output datasets across different operational conditions, by applying asliding window algorithm along with entropy to identify the boundaries of the input data. Following this, we utilize the prediction error from the current model, which is relevant to variable operational states, to construct an array of event-triggered *** the conditions in the event-triggering condition group are met, the re-training of the model is triggered to adapt to the distribution of new data. The re-learning strategy, frequency, and comparative advantages with traditional methods are discussed in detail. Experimental results show that the furnace temperature prediction model after adopting the model re-learning technology has significant improvements in prediction accuracy and real-time performance, providing strong support for the intelligent control and efficient production of blast furnaces, and has important practical application value and broad development prospects. © 2024 Copyright held by the owner/author(s).

关键词： Blast furnaces

来源：评论

学校读者我要写书评

暂无评论

Design and Evaluation of a Novel Masked Face Feature Model for Face Recognition on Service Robot 24

Design and Evaluation of a Novel Masked Face Feature Model f...

引用

2nd international conference on Frontiers of intelligent Manufacturing and automation, CFIMA 2024

作者： Zhang, Yunxi Wu, Jiabao Zhao, Ya Wang, Zihan Liu, Jia Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin University of Technology and Education Tianjin China School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin China Qingdao City University Shandong China

ISBN: (纸本)9798400710681

Traditional face recognition techniques exhibit suboptimal accuracy when dealing with faces occluded by masks, particularly posing a challenge for masked face identification. Considering the application characteristics of the service robot, this paper proposes a face recognition method based on a special obscured face feature model. By leveraging the unique characteristics of masked faces, we construct a new feature model and curate a diverse dataset encompassing faces wearing both N95 and common medical masks, thereby enhancing the representativeness and variability of the dataset. Employing a cascade regression tree method for training and parameter tuning, we obtain an optimized regressor with minimal error. Face recognition is achieved through comparing feature vectors using Euclidean distance. Extensive testing on the curated dataset demonstrates the effectiveness of our proposed method, not only validating its superiority over traditional techniques but also showcasing its improved success rate in masked face recognition. © 2024 Copyright held by the owner/author(s).

关键词： Robots

来源：评论

学校读者我要写书评

暂无评论

Anomalous Identification in UAVs Based on Receding-Horizon Clustering 24

Anomalous Identification in UAVs Based on Receding-Horizon C...

引用

2nd international conference on Frontiers of intelligent Manufacturing and automation, CFIMA 2024

作者： Tang, Peiren Wu, Chao Lv, Yuezu Sichuan Jiuzhou Electric Appliance Group Co. LTD Sichuan China Beijing Institute of Technology Beijing China

ISBN: (纸本)9798400710681

This paper presents a novel approach to identifying anomalous individuals among UAVs utilizing receding-horizon clustering. The artificial potential field methods (APF) with a leader-follower mechanism are employed to generate multiple intelligently designed anomalous individuals. Within the predefined time window, the trajectory features of each UAV are extracted, which specifically include spatial positioning and trajectory detection indicators, dynamic speed and acceleration features, as well as motion path consistency. Then, the k-means method is used for clustering. Simulation results show that the receding-horizon clustering technique enables real-time identification of anomalous individuals among UAVs. In 1000 experiments, the identification accuracy exceeded 95%, and the detection time was less than 3 seconds. © 2024 Copyright held by the owner/author(s).

关键词： Trajectories

来源：评论

学校读者我要写书评

暂无评论

A study of image recognition intelligent small car system 16

A study of image recognition intelligent small car system

引用

16th international conference on Signal Processing Systems, ICSPS 2024

作者： Zhang, Zhixi Wang, Zhilei Advanced Perception and Intelligent Equipment Engineering Research Center of Jiangsu Province Suzhou City University Jiangsu China Yi Jin Luo power supply branch of Ordos power supply company Inner Mongolia Ordos China

ISBN: (纸本)9781510689251

With the rapid development of modern science and technology, control technology and theory have made great progress, the development of industrial automation is more and more rapid, the degree of automation is also higher and higher, and the scope of use has also been greatly expanded. Under the influence of the rapidly developing microcontroller technology, the technology covers many disciplines including sensor technology. This design is under the background of hardware selection and software design to realize the image recognition intelligent car system. The intelligent car system designed by the design can realize a variety of functions, including image recognition, Bluetooth remote control, voice broadcast, ultrasonic obstacle avoidance, speech recognition, autonomous tracking, gesture recognition, ultrasonic speed measurement, OLED screen display and other functions. The design of the camera on the OpenMV module are used to collect images, and identify and process them. If the target image is identified, send data to the microcontroller through the established serial port communication protocol, and the microcontroller performs the next *** car has added a LD3320 voice recognition module, which can distinguish the sound of people, and can control the car driving through the sound. The car can be remotely controlled through the HC-05 Bluetooth module, and each module can be selected through the *** the ATK-PAJ7620 gesture recognition module, the car can recognize our gestures and realize the corresponding functions. The TCRT5000L tracking sensor can detect the black track on the ground, and the ultrasonic HC-SR 04 sensor is added in the front position for distance detection. The module transmits the collected relevant data to the main control, so as to realize the autonomous tracking of the car and the function of of avoiding obstacles. Speed measurement can also be performed by the ultrasonic module, and the speed results can be display

关键词： Microcontrollers

来源：评论

学校读者我要写书评

暂无评论

intelligent control algorithms for industrial automation systems

Intelligent control algorithms for industrial automation sys...

引用

2025 IEEE international Students' conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Sarathkumar, D. Anil, A.R. Sivadasan, J. Jayakumar, T. Manivel, Murugesan Anandhakumar, C. Engineering Kongu Engineering College Department of Electrical and Electronics Tamil Nadu 638 060 India Sree Buddha College of Engineering Pattoor Department of Computer Science &engineering Kerala Alappuzha India Psr Engineering College Department of Electronics and Communication Engineering Tamil Nadu Sivakasi626140 India Nandha Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 638052 India Karpagam Institute of Technology Department of Electrical and Electronics Engineering Tamilnadu Coimbatore641021 India Sri Ramakrishna Institute of Technology Department of Electrical and Electronic Engineering Tamil Nadu Coimbatore641010 India

ISBN: (纸本)9798331529833

Industrial automation has become a cornerstone of modern manufacturing, enhancing efficiency, reliability, and scalability. The integration of intelligent control algorithms, such as fuzzy logic, neural networks, genetic algorithms, and model predictive control, has revolutionized traditional automation systems, enabling more adaptive, efficient, and robust operations. This paper explores the application and impact of these intelligent control techniques in industrial settings. It highlights how machine learning algorithms can predict equipment failures, optimize processes, and enhance decision-making in real-time. Case studies are presented to illustrate the benefits and challenges of deploying these algorithms across various automated systems, such as robotic assembly lines, process control in chemical plants, and smart warehousing. Furthermore, the paper discusses the integration of these algorithms with industrial IoT (IIoT) platforms, facilitating seamless communication and data exchange between machines and control systems. The research also addresses the challenges of implementing intelligent control, such as computational complexity, security concerns, and the need for real-time processing. Finally, this study evaluates future trends, emphasizing the potential of combining artificial intelligence and deep learning techniques with industrial automation for a more adaptive and autonomous manufacturing ecosystem. © 2025 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Sensor Fault Estimation and Fault-tolerant Control via Adaptive Event-triggered Mechanism 24

Sensor Fault Estimation and Fault-tolerant Control via Adapt...

引用

2nd international conference on Frontiers of intelligent Manufacturing and automation, CFIMA 2024

作者： Lin, Xin Ma, Yongkang Fei, Zhongyang School of Control Science and Engineering Dalian University of Technology Liaoning China

ISBN: (纸本)9798400710681

This article addresses the sensor fault estimation and the fault-tolerant control (FTC) problem of the networked control systems (NCSs) with external disturbances and network-induced delay. Firstly, the sensor fault system model is transformed into the actuator fault form, and the fault observer is further designed. Besides, an observer-based fault-tolerant controller is constructed combining with adaptive event-triggered mechanism (AETM). Specifically, the gain matrix of the fault observer and the fault-tolerant controller are designed by the linear matrix inequality (LMI) method. The asymptotic stability and the H∞ performance of the augmented system are guaranteed by the Lyapunov method. Finally, several simulation experiments are carried out to illustrate the proposed method. © 2024 Copyright held by the owner/author(s).

关键词： Lyapunov methods

来源：评论

学校读者我要写书评

暂无评论

A Modeling Framework for the Digitization of intelligent Transportation Standards 24

A Modeling Framework for the Digitization of Intelligent Tra...

引用

8th international conference on Electronic Information technology and Computer Engineering, EITCE 2024

作者： Jiang, Lifeng Jiang, Jianfeng Bai, Hao Huang, Xin Chen, Meixia College of Information Engineering Hainan Vocational University of Science and Technology Hainan Haikou China Westlake Institute for Optoelectronics Zhejiang Hangzhou China

ISBN: (纸本)9798400710094

Traditional document-based standards can no longer meet the high-quality development needs of intelligent transportation, making the digitization of standards an inevitable *** paper aims to develop a framework for achieving machine-readable intelligent transportation standards by analyzing the evolution and forms of digital standards in intelligent transportation. A model-based systems engineering (MBSE) method is proposed to construct a digital modeling framework for intelligent transportation standards. This framework is designed to transform traditional document-based standards into digital formats. It comprises three stages: formal modeling, structured modeling, and information reengineering modeling. To validate the effectiveness of the modeling framework, this paper applies the framework to a case study involving the development of a Level 3 Conditional Automated Driving system based on the national standard"Automotive Driving automation Grading" (GB/T 40429-2021). The results demonstrate that the proposed framework is a viable solution for digitizing intelligent transportation standards, offering valuable insights and guidance for future research and practical applications. © 2024 Copyright held by the owner/author(s).

关键词： Digital Standards

来源：评论

学校读者我要写书评

暂无评论

Development of intelligent Operation and Maintenance and Communication Devices for Distribution Network 13th

Development of Intelligent Operation and Maintenance and Com...

引用

13th international conference on Clean and Green Energy

作者： Zhong, Zhaobin Chen, Xiaojun Ye, Qing Zhang, Qiran Chen, Tao Chen, Junhong China Southern Power Grid Technol Co Ltd Guangzhou Peoples R China Guangdong Prov Key Lab New Technol Smart Grid Guangzhou Peoples R China

ISBN: (纸本)9789819618149;9789819618125;9789819618118

Distribution network automation equipment has been widely installed and used in the power grid, which plays a very important role in improving the reliability and quality of power supply. However, due to the wide range of distribution network automation equipment points, poor operating environment, and a large workload of inspection and maintenance of operating units, it is urgent to take the initiative to find defects through technical means, so as to warn and eliminate equipment defects and hidden dangers in advance, and achieve rapid fault location and isolation. In order to meet the requirements of transforming electric power network into digital, networked and intelligent new power system, an intelligent operation, maintenance and communication device of distribution network is proposed. The device supports wireless 5G, wired Ethernet, Bluetooth and other communication modes, and has a variety of communication interfaces such as RJ45, RS485 and RS232. It can adapt to various external devices according to application scenarios. The software supports intelligent operation and maintenance functions such as distribution network device status data collection, device defect management and control, and device local Bluetooth operation and maintenance, and supports IPSec tunnel encryption mode, which meets the intelligent operation and maintenance and encrypted communication requirements of distribution network automation devices, and effectively improves the digitalization and intelligent features of distribution network automation devices. The device has been tested by the third party testing organization and has high operating stability.

关键词： Distribution network Communication devices intelligent operation and maintenance

来源：评论

学校读者我要写书评

暂无评论

Research on intelligent Financial Decision Support System Based on Data Mining 24

Research on Intelligent Financial Decision Support System Ba...

引用

5th international conference on Computer Science and Management technology, ICCSMT 2024

作者： Jia, Wenyu Shanghai University Shanghai China

ISBN: (纸本)9798400709999

In the age of big data, the rapid advancement of information technology has markedly transformed the manner in which companies manage their financial *** financial decision support systems, integrated with data mining techniques, aim to extract valuable insights from vast amounts of data to assist enterprises in making more scientific and efficient financial *** data mining, one can uncover patterns and trends concealed within the data, thereby effectively mitigating risks in decision-making and enhancing investment *** in the complex and ever-evolving market environment, intelligent decision support systems demonstrate their unparalleled advantages;they not only excel in efficiency and accuracy in data analysis but also achieve dynamic optimization through continuous learning and *** introduction of this technology not only elevates the level of automation in financial management but also propels transformations and innovations in corporate management models, bearing profound implications for enhancing the competitiveness of enterprises. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Decentralized finance

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 << < 2 3 4 5 6 7 8 9 10 11 > >>

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：