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

24,595 篇 会议
162 篇 期刊文献
56 册 图书
1 篇 学位论文
1 篇 科技报告

馆藏范围

24,815 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

10,151 篇 工学
- 6,343 篇 控制科学与工程
- 4,118 篇 计算机科学与技术...
- 2,664 篇 软件工程
- 2,151 篇 电气工程
- 1,866 篇 机械工程
- 1,146 篇 仪器科学与技术
- 739 篇 信息与通信工程
- 587 篇 生物工程
- 474 篇 生物医学工程（可授...
- 431 篇 光学工程
- 404 篇 力学（可授工学、理...
- 389 篇 电子科学与技术（可...
- 264 篇 化学工程与技术
- 252 篇 材料科学与工程（可...
- 252 篇 交通运输工程
- 246 篇 动力工程及工程热...
- 217 篇 土木工程
- 206 篇 建筑学
- 183 篇 安全科学与工程
3,078 篇 理学
- 1,768 篇 数学
- 906 篇 物理学
- 644 篇 生物学
- 582 篇 统计学（可授理学、...
- 482 篇 系统科学
- 230 篇 化学
1,226 篇 管理学
- 961 篇 管理科学与工程(可...
- 310 篇 工商管理
- 307 篇 图书情报与档案管...
328 篇 医学
- 287 篇 临床医学
- 205 篇 基础医学(可授医学...
122 篇 经济学
106 篇 法学
87 篇 农学
53 篇 教育学
27 篇 文学
16 篇 军事学
13 篇 艺术学
1 篇 哲学

主题

2,477 篇 predictive model...
1,995 篇 robots
1,825 篇 robotics and aut...
1,737 篇 computational mo...
1,715 篇 automation
1,651 篇 data models
1,584 篇 robot sensing sy...
1,490 篇 analytical model...
1,404 篇 adaptation model...
1,384 篇 training
1,175 篇 accuracy
1,141 篇 mathematical mod...
1,100 篇 trajectory
1,048 篇 mobile robots
916 篇 feature extracti...
843 篇 robustness
840 篇 robot kinematics
793 篇 control systems
718 篇 solid modeling
698 篇 uncertainty

机构

179 篇 university of ch...
144 篇 school of artifi...
111 篇 robotics institu...
88 篇 school of automa...
84 篇 institute of aut...
72 篇 shenyang institu...
69 篇 institutes for r...
68 篇 the robotics ins...
68 篇 school of electr...
63 篇 state key labora...
61 篇 school of mechat...
50 篇 department of au...
49 篇 department of au...
48 篇 state key labora...
46 篇 school of automa...
44 篇 school of mechan...
42 篇 robotics institu...
39 篇 school of automa...
32 篇 school of automa...
30 篇 college of autom...

作者

37 篇 secchi cristian
34 篇 yuechao wang
32 篇 yun-hui liu
31 篇 cristian secchi
29 篇 shugen ma
28 篇 lining sun
24 篇 xiang li
22 篇 jian wang
22 篇 jianda han
22 篇 fabio ramos
20 篇 xinyu wu
20 篇 wu xinyu
20 篇 daniela rus
19 篇 tomizuka masayos...
19 篇 wei li
19 篇 levine sergey
18 篇 c. laugier
18 篇 jie zhao
18 篇 chen chen
18 篇 dinesh manocha

语言

24,278 篇 英文
453 篇 其他
95 篇 中文
2 篇 西班牙文
1 篇 俄文

检索条件"任意字段=International Conference on Methods and Models in Automation and Robotics"

共 24815 条记录，以下是4441-4450 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：

On methods for Modeling Controlled Dynamics in Stabilization Problems

On Methods for Modeling Controlled Dynamics in Stabilization...

引用

international Russian automation conference (RusAutoCon)

作者： Aleksandr Ya. Krasinskiy Vasily Gr. Aitov Dept. of Computer Modeling and Probability Theory Moscow Aviation Institute (National Research University) Moscow Russia Information and Computing Center Rosbiotech Moscow Russia

ISBN: (数字)9798350349818

ISBN: (纸本)9798350349825

Automatic devices make up the vast maj ority of technological equipment in modern production. To obtain an output product of appropriate quality, the most complex program control algorithms can be implemented in actuators, including those found by mathematical control theory methods. Stable given operating mode implementation for controlled systems is ensured by its stabilization. In mathematical control theory, rigorous methods have been developed for solving stabilization problems; the effectiveness of their practical application is determined by the adequacy of the mathematical model of the control object used. The article outlines the main approaches to building models with a discussion of their required accuracy. Specific examples of solving stabilization problems for certain technical systems classes with different orders models of accuracy are given.

关键词： Training Asymptotic stability Accuracy Reliability theory Reliability engineering Mathematical models Stability analysis Control theory Standards Robots

来源：评论

学校读者我要写书评

暂无评论

BORT: TOWARDS EXPLAINABLE NEURAL NETWORKS WITH BOUNDED ORTHOGONAL CONSTRAINT 11

BORT: TOWARDS EXPLAINABLE NEURAL NETWORKS WITH BOUNDED ORTHO...

引用

11th international conference on Learning Representations, ICLR 2023

作者： Zhang, Borui Zheng, Wenzhao Zhou, Jie Lu, Jiwen Department of Automation Tsinghua University China Beijing National Research Center for Information Science and Technology China

Deep learning has revolutionized human society, yet the black-box nature of deep neural networks hinders further application to reliability-demanding industries. In the attempt to unpack them, many works observe or impact internal variables to improve the comprehensibility and invertibility of the black-box models. However, existing methods rely on intuitive assumptions and lack mathematical guarantees. To bridge this gap, we introduce Bort, an optimizer for improving model explainability with Boundedness and orthogonality constraints on model parameters, derived from the sufficient conditions of model comprehensibility and invertibility. We perform reconstruction and backtracking on the model representations optimized by Bort and observe a clear improvement in model explainability. Based on Bort, we are able to synthesize explainable adversarial samples without additional parameters and training. Surprisingly, we find Bort constantly improves the classification accuracy of various architectures including ResNet and DeiT on MNIST, CIFAR-10, and ImageNet. Code: https://***/zbr17/Bort. © 2023 11th international conference on Learning Representations, ICLR 2023. All rights reserved.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Identifying Essential Driving Factors of Industry 4.0 Maturity models Using Fuzzy MCDM methods 56

Identifying Essential Driving Factors of Industry 4.0 Maturi...

引用

56th CIRP international conference on Manufacturing Systems, CIRP CMS 2023

作者： Angreani, Linda Salma Vijaya, Annas Wicaksono, Hendro Constructor University Campus Ring 1 Bremen28759 Germany Universitas Islam Negeri Maulana Malik Ibrahim Malang Gajayana 50 Malang65144 Indonesia Universitas Ma Chung Villa Puncak Tidar N-01 Malang65151 Indonesia

Industry 4.0 is still the 'next big thing' for many companies, and they are currently trying to adopt Industry 4.0 in their strategy. While Industry 4.0 continues to evolve, understanding of its driving factors remains crucial for industrial development and economic growth for competitive advantage. Those driving factors are revealed not only by exploiting advanced technology such as automation, robotization, Internet of Things, AI, smart system, or big data analytics but also the human factors, including culture or willingness to change. This paper aims to analyze the essential driving factors for Industry 4.0 maturity models. All factors are identified from a structured literature review. Then, the weights expressing the importance of the factors are calculated by obtaining expert opinions. This study utilizes a linguistic fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and using Decision Making Trial and Evaluation Laboratory (DEMATEL) method for weighting and ranking the driving factors and mapping the relationship between them. The analyzed driving factors identified from 52 references containing maturity models for Industry 4.0 are categorized into six domains and 16 subdomains. The presented study findings in this paper can support academicians and practitioners in comparing, developing, and improving Industry 4.0 maturity models as part of their adoption strategy and development. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 56th CIRP international conference on Manufacturing Systems 2023.

关键词： driving factors fuzzy dematel fuzzy topsis Industry 4.0 maturity model

来源：评论

学校读者我要写书评

暂无评论

PI2-CMA Based Trajectory Planning Method for the Tractor-Trailer Vehicle 6

PI2-CMA Based Trajectory Planning Method for the Tractor-Tra...

引用

6th IEEE international conference on Pattern Recognition and Artificial Intelligence, PRAI 2023

作者： Wang, You Wang, Zehao Wang, Jingchuan Guo, Rui Xiao, Peng Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Institute of Medical Robotics and Department of Automation Shanghai200240 China State Grid Intelligence Technology CO. LTD China

ISBN: (纸本)9798350325485

The motion primitive-based state lattice trajectory planning method has been widely used in the field of trajectory planning. However, due to the limitations of the search space and resolution of motion primitives, and the lack of consideration of scenario information during offline generation of motion primitives, the tractor-Trailer vehicles can easily fall into "jackknife phenomenon"when making large pose adjustments in narrow scenarios, which brings dilemma for trajectory planning. In this paper, a trajectory planning algorithm is proposed based on a general model of tractor-Trailer vehicle, which combines global planning and local optimization. The method first generates a series of motion primitives, including forward and backward driving conditions, and then an A based global state lattice planner is used to obtain a planning result, which is imported as the initial solution into the local trajectory optimizer based on PI2-CMA (Path Integral Policy Improvement with Covariance Matrix Adaptation) algorithm and dynamic potential method. Experiments show that this method significantly improves the performance in the obstacle avoidance, "jackknife phenomenon"avoidance and curvature compared to traditional motion primitive-based state lattice planning methods. © 2023 IEEE.

关键词： Trajectories

来源：评论

学校读者我要写书评

暂无评论

Corporate Carbon Emission Prediction Based on Multi-Source Data Fusion

Corporate Carbon Emission Prediction Based on Multi-Source D...

引用

Artificial Intelligence, robotics, and Communication (ICAIRC), IEEE international conference on

作者： Jiaguan Shen Xinyue Fu Weiyu Guo School of Information Central University of Finance and Economics Beijing China School of Finance Central University of Finance and Economics Beijing China

ISBN: (数字)9798331531225

ISBN: (纸本)9798331531232

Accurate forecasting of corporate carbon emissions is imperative for investors, policymakers, and the global environmental agenda. Traditional methods, primarily leveraging structured data, often fail to capture the nuanced, influential factors pertinent to corporate emissions. This paper introduces a new pathway that integrates multi-source data to construct diverse machine learning models for enhanced prediction. We implemented a semi-supervised machine learning framework to analyze CSR reports from Chinese A-share companies, extracting textual features through a specially developed Corporate Green Action Index (CGAI). We conduct a comparative analysis of carbon emissions prediction using five machine learning models. The experimental results show that the fusion of numerical and textual data provides a new prediction accuracy and climate risk assessment model, and the prediction accuracy is significantly improved compared with traditional models.

关键词： Accuracy Carbon dioxide Machine learning Predictive models Feature extraction Data models Numerical models Risk management Robots Meteorology

来源：评论

学校读者我要写书评

暂无评论

HFT: Lifting Perspective Representations via Hybrid Feature Transformation for BEV Perception

HFT: Lifting Perspective Representations via Hybrid Feature ...

引用

IEEE international conference on robotics and automation (ICRA)

作者： Jiayu Zou Zheng Zhu Junjie Huang Tian Yang Guan Huang Xingang Wang Institute of Automation Chinese Academy of Sciences School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China PhiGent Robotics Beijing China

Restoring an accurate Bird's Eye View (BEV) map plays a crucial role in the perception of autonomous driving. The existing works of lifting representations from frontal view to BEV can be classified into two categories, i.e., Camera model-Based Feature Transformation (CBFT) and Camera model-Free Feature Transformation (CFFT). We empirically analyze the significant differences between CBFT and CFFT. The former method lift perspective features based on the flat- world assumption, which often causes distortion of regions lying above the ground plane. The latter method is limited in the perception performance due to the absence of geometric priors and time-consuming computing. In this paper, we propose a novel framework with a Hybrid Feature Transformation module (HFT) to lift perspective representations. Furthermore, we design a mutual learning scheme to augment hybrid transformation. The deformable attention mechanism enables the model to pay more attention to relevant regions and capture features with more semantics. We illustrate the effectiveness of HFT in BEV perception tasks, such as segmentation and object detection. Notably, in the task of semantic segmentation, extensive experiments demonstrate that HFT outperforms the previous state-of-the-art method by relatively 17.9% on the Argoverse and 22.0% on the KITTI 3D Object dataset. With negligible computing budget, HFT outperforms existing image- based methods on 3D object detection. The code will be released soon.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Deep learning-based blood pressure measurement on a low-power microcontroller 14

Deep learning-based blood pressure measurement on a low-powe...

引用

14th IEEE international conference on Cognitive Infocommunications, CogInfoCom 2023

作者： Tóth, Bálint Torma, Szabolcs Nagy, Ákos Szegletes, Luca Department of Measurement and Information Systems Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary Department of Automation and Applied Informatics Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary

ISBN: (纸本)9798350325652

Blood pressure is one of the most vital signals characterizing the health status of the human body. Based on this physiological data, many current and future diseases can be detected. Therefore, having a device that can continuously measure blood pressure without a cuff or medical intervention would be highly beneficial. This study aims to investigate noninvasive blood pressure measurement with the help of a low-power microcontroller, namely STM32F446RE. These measuring methods are based on deep neural networks and utilize externally measured photoplethysmography (PPG) and electrocardiogram (ECG) signals. The performance of the proposed models is compared to similar solutions from the literature and inspected for memory usage and runtime. The results of this work show that a convolutional layer-based model can be used for proper blood pressure estimation in such an energy-efficient device. © 2023 IEEE.

关键词： Blood pressure

来源：评论

学校读者我要写书评

暂无评论

A Logistic-Regression-Based Reduced Model for Predicting Online News Popularity 2

A Logistic-Regression-Based Reduced Model for Predicting Onl...

引用

2nd international conference on Computing, Communication, Perception and Quantum Technology, CCPQT 2023

作者： Lou, Lan Wang, Jingping Liu, Xinya University of Toronto The Department of Computer and Mathematical Sciences Toronto Canada Wuhan University of Technology College of Automation Wuhan China Harbin Institute of Technology The Department of Computer Science and Technology Shen Zhen China

ISBN: (纸本)9798350342697

Consuming news through social media has become an integral part of our lives, thus online news popularity prediction is now a crucial issue for marketing strategies and social media platforms. This paper proposes a real-time prediction model, based on a dataset from Mashable, it uses regression analysis to find out whether an article is of high-popularity or low-popularity. In this paper, we first solve the problem of imbalanced data via Synthetic Minority Oversampling Technique (SMOTE);then various feature selection and engineering methods are employed to extract key features. A comparison experiment is conducted to verify the validity of the data enhancement. And the results show that the reduced logistic model with SMOTE and dimension reduction outperforms other models with an Accuracy of 80.6% and a Recall of 78.6%. Our work can help the software application on evaluating the popularity of online news. © 2023 IEEE.

关键词： Feature Selection

来源：评论

学校读者我要写书评

暂无评论

Total Organic Carbon Detection in Water Based on Attention Mechanism CNN 4

Total Organic Carbon Detection in Water Based on Attention M...

引用

4th international conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2023

作者： Ming, Jiahao Chai, Qinqin Wang, Wu School of Electrical Engineering and Automation Fuzhou University Fuzhou China

ISBN: (纸本)9798350343113

With the increasing demand for dynamic control of sewage quality, developing a fast and accurate detection method that can continuously monitor total organic carbon (TOC) in water has become a crucial issue. However, traditional methods for TOC detection require a high consumption of time and resources. To overcome these drawbacks, in this paper, a rapid and effective TOC detection method is developed based on near-infrared spectroscopy (NIRS) and an improved convolutional neural network (CNN). Firstly, the spectrum of the water samples is collected using a portable near-infrared spectrometer. Then a Convolutional Block Attention Module (CBAM) is integrated with one-dimensional CNN to effectively extract key characteristics of pollutants and achieve accurate quantitative analysis. The feature visualization results demonstrate the effectiveness of the feature extraction. And comparison experimental results shown that, the proposed method model has the greatest coefficient of determination and the smallest root mean square error compared with other models. Thus, the proposed method can accurately detect the total organic carbon in water and is suitable for practical applications. © 2023 IEEE.

关键词： Water quality

来源：评论

学校读者我要写书评

暂无评论

Anomaly detection of EMU trains based on line-scan image registration 7

Anomaly detection of EMU trains based on line-scan image reg...

引用

7th Global Intelligent Industry conference, GIIC 2024

作者： Fang, Lei Shi, Zelin Xiao, Chuanmin Liu, Yunpeng Pang, Mingqi Zhao, Enbo Faculty of Robot Science and Engineering Northeastern University Shenyang110169 China Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences Shenyang110016 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China Third Military Representative Room in Shenyang Area Air Force Equipment Shenyang110016 China

ISBN: (纸本)9781510682986

Anomaly detection based on template image registration is one of the methods used to detect anomalies of objects with similar structures. However, the imaging device of the Electronic Multiple Units (EMU) train is a line-scan camera, and the geometric transformation law between its image and the area-scan image is different. The conventional image registration method of the area-scan image cannot accurately align the line-scan image. Moreover, the line-scan image of the EMU train collected in uncontrollable environmental scenes exhibits significant grayscale changes, and the registered images cannot detect differences by directly comparing grayscale. To address these two challenges, this paper proposes a two-stage anomaly detection method based on line-scan image registration and edge comparison. In the registration stage, a coarse-to-fine line-scan image registration method was designed. First, the feature-based registration method was used to achieve coarse position of the EMU train template image in the target image. Then, the direct registration method based on the line-scan image geometric transformation model achieved precise geometric alignment. In the anomaly detection stage, edge information is extracted from the template image and the registered target image, and anomaly detection of EMU trains is achieved through edge comparison, edge expansion, and edge connection. The experimental results on the line-scan image of EMU trains show that the two-stage method proposed in this paper can achieve the registration of line-scan images of EMU trains, and on this basis, achieve detection and segmentation of abnormal areas of EMU trains. © 2024 SPIE.

关键词： Image registration

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 << < 441 442 443 444 445 446 447 448 449 450 > >>

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：