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

15,051 篇 会议
618 册 图书
195 篇 期刊文献

馆藏范围

15,863 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

9,329 篇 工学
- 6,728 篇 计算机科学与技术...
- 3,140 篇 软件工程
- 3,112 篇 控制科学与工程
- 2,060 篇 电气工程
- 953 篇 信息与通信工程
- 861 篇 机械工程
- 816 篇 生物医学工程（可授...
- 645 篇 生物工程
- 483 篇 仪器科学与技术
- 446 篇 光学工程
- 317 篇 电子科学与技术（可...
- 247 篇 化学工程与技术
- 206 篇 力学（可授工学、理...
- 145 篇 材料科学与工程（可...
- 144 篇 土木工程
- 143 篇 安全科学与工程
- 130 篇 交通运输工程
2,662 篇 理学
- 1,535 篇 数学
- 753 篇 物理学
- 732 篇 生物学
- 655 篇 统计学（可授理学、...
- 256 篇 化学
- 231 篇 系统科学
1,415 篇 管理学
- 855 篇 管理科学与工程(可...
- 611 篇 图书情报与档案管...
- 312 篇 工商管理
978 篇 医学
- 864 篇 临床医学
- 370 篇 基础医学(可授医学...
- 226 篇 药学(可授医学、理...
226 篇 法学
- 212 篇 社会学
112 篇 经济学
92 篇 教育学
74 篇 农学
52 篇 艺术学
35 篇 文学
16 篇 军事学
1 篇 哲学

主题

1,490 篇 artificial intel...
1,405 篇 pattern recognit...
715 篇 task analysis
705 篇 feature extracti...
454 篇 robots
445 篇 data mining
386 篇 neural networks
384 篇 training
301 篇 algorithm design...
299 篇 stability analys...
293 篇 deep learning
275 篇 image segmentati...
273 篇 support vector m...
261 篇 pattern analysis
258 篇 pattern classifi...
241 篇 robot sensing sy...
235 篇 legged locomotio...
233 篇 accuracy
227 篇 machine learning
225 篇 conferences

机构

56 篇 university of ch...
53 篇 institute of art...
46 篇 school of artifi...
42 篇 univ chinese aca...
37 篇 univ chinese aca...
35 篇 shenzhen institu...
28 篇 college of artif...
27 篇 national laborat...
26 篇 chinese acad sci...
25 篇 centre for patte...
24 篇 chinese acad sci...
22 篇 institute for pa...
22 篇 institute of aut...
22 篇 harbin inst tech...
21 篇 shenzhen inst ar...
20 篇 xi'an university...
19 篇 concordia univ c...
18 篇 chinese univ hon...
17 篇 univ chinese aca...
17 篇 indian statistic...

作者

38 篇 nanning zheng
35 篇 c.y. suen
28 篇 sami haddadin
27 篇 wu xinyu
26 篇 li guanglin
25 篇 liu cheng-lin
24 篇 suen ching y.
22 篇 xinyu wu
22 篇 ryszard tadeusie...
20 篇 de-shuang huang
19 篇 shafait faisal
19 篇 marcin korytkows...
18 篇 daniela rus
17 篇 jacek m. zurada
17 篇 m. kamel
17 篇 anon
16 篇 napoli amedeo
16 篇 wang wei
16 篇 dengel andreas
15 篇 jianda han

语言

15,003 篇 英文
807 篇 其他
85 篇 中文
1 篇 西班牙文
1 篇 法文
1 篇 俄文

检索条件"任意字段=International Conference on Pattern Analysis and Intelligence Robotics"

共 15864 条记录，以下是161-170 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：

Design and Optimization of Modular Neural Networks based on Cluster analysis: Applied to Complex Data pattern Recognition

Design and Optimization of Modular Neural Networks based on ...

引用

2024 international conference on Intelligent Algorithms for Computational intelligence Systems, IACIS 2024

作者： Zhang, Yuan Heilongjiang University of Technology Jixi China

ISBN: (纸本)9798350360660

The recognition of complex data patterns in a typical application is always a difficult topic. From the perspective of designing modular RNN and optimization based on cluster analysis to improve accuracy and stability in complex data pattern recognition, many researchers have taken actions in this direction. This article proposes a module RNN based on the method of cluster analysis in order to classify and identify patterns in complex data. Three methods, namely RNN, CNN, and LSTM, are employed in the experiment to evaluate three aspects of algorithm accuracy, recognition time, and algorithm stability. Complex data pattern recognition has brought significant improvement in the modular RNN based on cluster analysis. Secondly, from the perspective of accuracy, this method has good application value: experimental accuracy ranges from 92% to 98%. Lastly, the algorithm stability ranges from 94% to 100%, realiably showing that the overall performance of the proposed method is consistently strong on a range of different tasks and datasets. © 2024 IEEE.

关键词： Cluster analysis

来源：评论

学校读者我要写书评

暂无评论

Spatial and Temporal analysis of Normal and Shear Forces During Grasping, Manipulation and Social Activities

Spatial and Temporal Analysis of Normal and Shear Forces Dur...

引用

international conference on Rehabilitation robotics (ICORR)

作者： Castaneda, Theophil Spiegeler Matos, Joana Capsi-Morales, Patricia Piazza, Cristina Tech Univ Munich TUM Dept Comp Engn Sch Computat Informat & Technol Munich Germany Tech Univ Munich TUM Munich Inst Robot & Machine Intelligence Munich Germany Univ Porto U Porto Fac Engn Porto Portugal

ISBN: (纸本)9798350342758

Extensive research has established and widely acknowledged the important contribution of human hand sensory receptors in providing tactile feedback. The absence of these receptors results in a poor perception of the environment, impairing our efficient manipulation skills. Although the literature emphasizes the significance of normal forces in human grasping, further investigations should point toward the role of shear forces in this process. This paper presents an analysis of human everyday grasping activities through the use of 20 three-axis magnetic soft skin force sensors, in the form of rings and bands, that measure both normal and shear forces. Our study includes twelve tasks that cover various grasping requirements. Results highlight the importance of spatial information and the usefulness of shear forces in the prediction of unexpected changes that can not be always observed in normal forces. Tactile sensing can ultimately be integrated into prosthetic and rehabilitation devices for improved control and potentially provide sensory feedback to the user.

关键词： Sensory feedback

来源：评论

学校读者我要写书评

暂无评论

A Comparative analysis of Short-Term Solar Power Forecasting Using Machine Learning Methods 3

A Comparative Analysis of Short-Term Solar Power Forecasting...

引用

3rd IEEE international conference on robotics, Automation, Artificial-intelligence and Internet-of-Things, RAAICON 2024

作者： Sultana, Nasrin Islam, Md. Samin Safayat Islam, Md. Rashidul Sheikh, Md. Rafiqul Islam Faruque, Md. Omer Rajshahi University of Engineering and Technology Department of Electrical & Electronic Engineering Rajshahi6204 Bangladesh Dhaka University of Engineering and Technology Department of Electrical & Electronic Engineering Gazipur1707 Bangladesh

ISBN: (纸本)9798331534400

Integrated power systems encounter a multitude of challenges due to the variability observed in solar energy. As a result, it is requisite to make precise predictions regarding solar power. This study conducted a comparative analysis of various models including categorical boosting (CatBoost), random forest (RF), adaptive boosting (AdaBoost), gradient boosting (GB), extreme gradient boosting (XGBoost), and gated recurrent network (GRU). The objective of this paper is to determine the most accurate model for predicting global horizontal irradiance (GHI) in Canberra, Australia. This research used data collected at 60-minute, 30-minute, 15-minute, 10-minute, and 5-minute intervals throughout the year to ensure each model's consistency in performance. As the number of samples increased in the dataset, each model's performance improved significantly. This research made it quite evident that GRU outperformed all other models in producing the best results for this dataset. © 2024 IEEE.

关键词： Solar irradiance

来源：评论

学校读者我要写书评

暂无评论

Multi-Objective Optimization of ML Algorithms and FPGA Accelerators for Robotic intelligence

Multi-Objective Optimization of ML Algorithms and FPGA Accel...

引用

2024 international conference on Intelligent robotics and Automatic Control

作者： Wang, Bo Han, Qing Shi, Xiupeng Shanghai Univ Sch Microelect Shanghai Peoples R China

ISBN: (纸本)9798350389814;9798350389807

Integrating machine learning (ML) algorithms into robotic intelligence necessitates balancing accuracy, resource efficiency, and energy consumption. This study presents the Multi-Objective Optimization Co-Design (MOO-CoD) framework, developed to enhance both ML algorithms and their corresponding hardware accelerators for robotic applications. MOO-CoD simultaneously optimizes algorithms and hardware through MOO techniques, including weighted optimization, accuracy-prioritized approaches, and Pareto front analysis, to achieve optimal model performance and resource efficiency. By leveraging FPGA accelerators, the MOO-CoD framework enables rapid ML deployment with scalable, high-performance hardware designs, making it ideal for low-latency and energy-efficient robotic systems. Empirical evaluations using the NGSIM and SECOM datasets demonstrate that MOO-CoD significantly reduces resource consumption while maintaining high AUC scores. These results highlight the framework's effectiveness in addressing critical challenges in robotic intelligence by enhancing both ML performance and hardware efficiency.

关键词： Robotic intelligence Multi-Objective Optimization Algorithm-Chip Co-Design FPGA Accelerators Resource Efficiency

来源：评论

学校读者我要写书评

暂无评论

Studying Worker Perceptions on Safety, Autonomy, and Job Security in Human-Robot Collaboration 9

Studying Worker Perceptions on Safety, Autonomy, and Job Sec...

引用

9th international conference on Automation, robotics and Applications (ICARA)

作者： Kaur, Gurpreet Banerjee, Sean Banerjee, Natasha Kholgade Clarkson Univ Dept Comp Sci Potsdam NY 13676 USA

ISBN: (纸本)9781665489218

We present a study on analyzing worker perceptions of safety, autonomy, and job security in collaborative environments where human co-workers and robots are expected to offer workers varying levels of collaborative assistance. With the rise in robotization, workers in blue-collar environments face the risk of being displaced. Recent studies suggest that despite showing concern for displacement, workers do see benefits of robots in the workplace, especially ones that collaborate with humans. We survey worker perceptions toward robots that offer varying levels of collaborative assistance-fully interventional or always assistive, fully standoff or never directly assistive, and assistive on an as-needed basis. We administer questionnaire-based surveys to N=530 blue-collar workers in companies spanning construction, contract work, manufacturing, retail, transportation and delivery, and warehousing in 4 countries. To understand the impact of corobots in promoting inclusivity, we break down our analysis in terms of age and sex. Our study shows that robots that provide as-needed assistance are viewed more favorably in terms of preserving autonomy and job security than fully interventional or fully standoff robots, and viewed more positively amongst female and older workers, demonstrating their potential to promote inclusivity and alleviate job displacement concerns.

关键词： Robot acceptance human-robot interaction human-robot collaboration corobots

来源：评论

学校读者我要写书评

暂无评论

Exploring Students' Attitudes Towards robotics Technology in STEM Education: A Machine Learning-Based Prediction analysis 4

Exploring Students' Attitudes Towards Robotics Technology in...

引用

4th IEEE international conference on Emerging Techniques in Computational intelligence, ICETCI 2024

作者： El Aziz, Mahmoud I. Abd Elshewey, Ahmed M. Tarek, Zahraa El-Kenawy, El-Sayed M. Ghazy, Ahmed M. Bhatnagar, Roheet Shams, Mahmoud Y. Kafrelsheikh University Faculty of Education Department of Curriculum Instruction and Educational Technology Kafrelsheikh33511 Egypt Suez University Faculty of Computers and Information Computer Science Department Suez Egypt Mansoura University Faculty of Computers and Information Computer Science Department Mansoura35561 Egypt Delta Higher Institute of Engineering and Technology Dept. of Communications and Electronics Mansoura35111 Egypt Manipal University Department of Computer Science and Engineering Rajasthan Jaipur India Kafrelsheiku University Faculty of Artificial Intelligence Dept. of Machine Learning 33516 Egypt

ISBN: (纸本)9798350387063

The aim of this paper is to predict the extent to which students will accept robotics technology in future teaching plans. The study involves students engaging in a two-week project-based learning program on robotics technology, after which they will decide whether it is suitable for them. To achieve this, the paper uses several prediction algorithms based on Machine Learning (ML), including Linear Regression (LR), Ridge Regression (RR), Elastic Net (EN) regression, and K-Nearest Neighbor (KNN) models. The sample group consists of 35 students from STEM high schools in Egypt. The research findings indicate that the students have gained confidence and satisfaction in robotics technology and believe it will have significant value in the future. The prediction results obtained from the ML regression models support these findings. The dataset used in the study includes seven input features and one target output representing the total prediction values of accepting and rejecting robotics technology in STEM schools. The regression models LR, RR, EN, and KNN achieve determination coefficients (R2) of 99.99%, 98.80%,99.20%, and 85.60%, respectively. © 2024 IEEE.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Fault Monitoring of Electric Vehicle Motor Drive Systems: Effective Application of PLC Technology 6

Fault Monitoring of Electric Vehicle Motor Drive Systems: Ef...

引用

6th international conference on robotics, Intelligent Control and Artificial intelligence, RICAI 2024

作者： Bao, Yuanhang Lan, Wenbao Zhang, Jiazheng Zhang, Haoyang Li, Dongyang Zhang, Qincheng University of Electronic Science and Technology of China Chengdu China University of South China Hengyang China Tianjin University Tianjin China Shandong University of Science and Technology Qingdao China Northeastern University Shenyang China Shanghai University of Electric Power Shanghai China

ISBN: (纸本)9798331541699

Due to the inability of existing methods to complete the transformation of nonlinear drive information, the fault detection rate of motor drive systems is relatively low. This paper proposes a method for fault detection of motor drive systems in new energy vehicles under PLC technology. Wavelet packet analysis is used to obtain the frequency band components of the drive motor, and fault characteristic parameters are extracted by analyzing the changes in each frequency band component. Based on the fault characteristics, under PLC technology, a fusion of kernel methods and principal component analysis is used to transform the nonlinear information of the motor drive fault characteristic parameters into linear information. Finally, the fuzzy kernel clustering method is applied to cluster the linearized information, completing the fault detection of the motor drive system in new energy vehicles. Experimental results show that the proposed method has a low rate of missed and false detections, enhances fault detection rates, and has strong practical application performance. © 2024 IEEE.

关键词： Wavelet analysis

来源：评论

学校读者我要写书评

暂无评论

Indoor Mapping and analysis Based on Optimized Existing 2D SLAM Algorithm 3

Indoor Mapping and Analysis Based on Optimized Existing 2D S...

引用

3rd international conference on robotics, Artificial intelligence and Intelligent Control (RAIIC)

作者： Xiaol, Yuntao Zhang, Guowei Hu, Jinwen Zhou, Youtao Fan, Haoyu Zhang, Shimian Univ Elect Power Sch Automat Engn Shanghai 200090 Peoples R China Shanghai HRSTEK Co Ltd Shanghai 201102 Peoples R China

ISBN: (纸本)9798350352634;9798350352627

During the process of enabling autonomous movement of robots in unknown environments, deficiencies in existing algorithms were observed in practical applications. In order to reduce computational resource usage and improve the smoothness of robot autonomous navigation, it was necessary to optimize existing 2D laser mapping algorithms. After researching existing 2D laser mapping algorithms, the Cartographer algorithm was selected for optimization. Optimizing the local SLAM process in Cartographer addressed issues such as map sliding and unclear map details during sub-map construction. Optimizing the global SLAM process improved map consistency and global localization accuracy, as well as enhanced loop closure detection. For processors with lower performance, delay optimization was adopted to improve mapping efficiency and reduce redundant sub-maps. Experimental results indicate that the optimized algorithm resolves issues related to insufficient hardware configuration, improves handling of motion distortions and map drift, enhances mapping efficiency in complex environments, and provides clearer description of detailed environmental features. This optimization method offers an improved approach for indoor mapping using the Cartographer 2D SLAM algorithm.

关键词： Laser SLAM Cartographer 2D SLAM Indoor mapping

来源：评论

学校读者我要写书评

暂无评论

Design and analysis of a Novel Intelligent Acupuncture Robot 21

Design and Analysis of a Novel Intelligent Acupuncture Robot

引用

21st IEEE international conference on Mechatronics and Automation (IEEE ICMA)

作者： Yuan, Zhihang Zhang, Linshuai Jiang, Tao Gu, Shuoxin Xu, Lin Yu, Zheng Guan, Jingbo Jiang, Shiqi Chengdu Univ Informat Technol Sch Automat Chengdu Sichuan Peoples R China Chengdu Univ Tradit Chinese Med Sch Intelligent Med Chengdu Sichuan Peoples R China Chengdu Univ Informat Technol Int Joint Res Ctr Robot & Intelligence Syst Sichu Chengdu Sichuan Peoples R China

ISBN: (纸本)9798350388084;9798350388077

Acupuncture treats systemic diseases through the conduction of meridians and acupoints, and applies certain manipulations. However, acupuncture has problems such as subjectivity in artificial acupoint selection, difficulty in standardizing acupuncture techniques, and poor uncertainty in acupuncture stimulation. With the rapid development of artificial intelligence technology and medical robotics industry, acupuncture, a traditional medicine, has ushered in new development opportunities. the model of the needle applying mechanism is constructed, and then the static structure analysis and modal analysis are carried out to verify the rationality, feasibility and reliability of the structural design. Then the model is abstracted into a mathematical model and presented in a modular way, which is encapsulated into a usable simulation module after adding constraints and load conditions as well as contact settings. Finally, the feasibility, rationality and reliability of the established model are visually tested by the open-loop control in the form of waveforms.

关键词： Acupuncture actuator Simscape Modeling Acupuncture auxiliary device Structural design Static structural analysis

来源：评论

学校读者我要写书评

暂无评论

2nd international conference on Digital Transformation in Education and Artificial intelligence Applications, MoStart 2024

2nd International Conference on Digital Transformation in Ed...

引用

2nd international conference on Digital Transformation in Education and Artificial intelligence Applications, MoStart 2024

ISBN: (纸本)9783031620577

The proceedings contain 17 papers. The special focus in this conference is on Digital Transformation in Education and Artificial intelligence Applications. The topics include: Artificial intelligence in Elementary Math Education: Analyzing Impact on Students Achievements;Gamification in Learning Process Enhanced with AI;impact of the e-Schools Programme on the Use of the e-Class Register;students’ Digital Learning Behavior Using the Mandatory and Non-mandatory Platforms in an Online Learning Environment;Assessing the Impact of Large-Scale ICT Investment in Education Through Measuring the Digital Maturity of Schools;opportunities for the Professional Development of Teachers in Digital Competences Related to the Use of Artificial intelligence in Education in Croatia;crop-Guided Neural Network Segmentation of High-Resolution Skin Lesion Images;Artificial intelligence-Based Control of Autonomous Vehicles in Simulation: A CNN vs. RL Case Study;fuzzy-Based Knowledge Design and Delivery Model for Personalised Learning;the Development of Assistive robotics: A Comprehensive analysis Integrating Machine Learning, Robotic Vision, and Collaborative Human Assistive Robots;development of a Dynamic Multi-object Planning Framework for Autonomous Mobile Robots;application of Artificial intelligence in the Economic and Legal Affairs of Companies;Impact of AI Tools on Software Development Code Quality;a Systematic Review of robotics’ Transformative Role in Education;application of the Decision Tree in the Business Process.

关键词：

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 << < 13 14 15 16 17 18 19 20 21 22 > >>

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：