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

1,211 篇 会议
9 篇 期刊文献

馆藏范围

1,220 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

494 篇 工学
- 384 篇 控制科学与工程
- 244 篇 计算机科学与技术...
- 146 篇 电气工程
- 85 篇 软件工程
- 61 篇 机械工程
- 39 篇 仪器科学与技术
- 17 篇 信息与通信工程
- 16 篇 力学（可授工学、理...
- 12 篇 生物工程
- 11 篇 材料科学与工程（可...
- 11 篇 交通运输工程
- 10 篇 生物医学工程（可授...
- 9 篇 光学工程
- 9 篇 土木工程
- 7 篇 建筑学
- 5 篇 动力工程及工程热...
- 5 篇 电子科学与技术（可...
- 5 篇 化学工程与技术
- 5 篇 石油与天然气工程
- 5 篇 安全科学与工程
100 篇 理学
- 66 篇 数学
- 21 篇 物理学
- 19 篇 统计学（可授理学、...
- 14 篇 生物学
- 13 篇 系统科学
- 6 篇 化学
35 篇 管理学
- 30 篇 管理科学与工程(可...
- 7 篇 工商管理
- 7 篇 图书情报与档案管...
7 篇 医学
- 6 篇 临床医学
3 篇 文学
2 篇 农学
1 篇 法学
1 篇 教育学
1 篇 军事学

主题

165 篇 mathematical mod...
104 篇 predictive model...
93 篇 automation
93 篇 adaptation model...
90 篇 robots
87 篇 computational mo...
82 篇 data models
81 篇 training
61 篇 trajectory
59 篇 analytical model...
58 篇 equations
57 篇 accuracy
55 篇 numerical models
51 篇 approximation me...
48 篇 stability analys...
46 篇 vectors
45 篇 feature extracti...
39 篇 robot sensing sy...
39 篇 control systems
39 篇 estimation

机构

10 篇 faculty of mecha...
9 篇 state key labora...
8 篇 institute of com...
8 篇 school of electr...
8 篇 institute of aut...
6 篇 department of el...
6 篇 silesian tech un...
6 篇 university of ch...
6 篇 univ rostock cha...
5 篇 faculty of elect...
5 篇 chair of mechatr...
5 篇 faculty of elect...
5 篇 institute of aut...
5 篇 institute of aut...
5 篇 systems research...
4 篇 carleton univ de...
4 篇 department of au...
4 篇 department of au...
4 篇 department of au...
4 篇 institute of aut...

作者

13 篇 jerzy baranowski
12 篇 waldemar bauer
8 篇 janusz szpytko
8 篇 rafał stanisławs...
7 篇 aschemann harald
7 篇 marian łukaniszy...
7 篇 krzysztof j. lat...
6 篇 krzysztof gałkow...
6 篇 jarosław figwer
6 篇 wojciech p. hune...
6 篇 baranowski jerzy
6 篇 rauh andreas
6 篇 yang li
6 篇 harald aschemann
5 篇 andreas rauh
5 篇 ignacy duleba
5 篇 szulc katarzyna
5 篇 krzysztof arent
5 篇 krzysztof bartec...
4 篇 rydel marek

语言

1,211 篇 英文
6 篇 中文
3 篇 其他
1 篇 西班牙文

检索条件"任意字段=25th International Conference on Methods and Models in Automation and Robotics"

共 1220 条记录，以下是381-390 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：

Research on Testing Method for Broken Rail Monitoring Equipment Based on Ensemble Learning

Research on Testing Method for Broken Rail Monitoring Equipm...

引用

Industrial automation, robotics and Control Engineering (IARCE), international conference on

作者： Qi Wang Congcong Liu Yulong Xing Yu Zhao Standards & Metrology Research Institute China Academy of Railway Sciences Corporation Limited China Railway Test & Certification Center Limited Beijing China

ISBN: (数字)9798350380323

ISBN: (纸本)9798350380330

Broken rail monitoring equipment is essential for ensuring the safety of train operations, and it is necessary to conduct functional and performance testing before the equipment is put into operation. Considering the safety and order of line operations, laboratory testing methods are typically used, employing simulation boards to mimic actual rails. Since the rail is an inductive element, its impedance characteristics are closely related to the frequency of the electrical signal. Accurately simulating the impedance transmission characteristics of the rail under different scenarios and conditions is vital to implementing these testing. To achieve this, we utilize real measured data of rail impedance under different scenarios and frequencies, and establish an equivalent model of rail impedance characteristics using ensemble learning algorithms. this model takes the application conditions of the broken rail monitoring equipment as input and determines the impedance parameters of the signal during rail transmission. Based on this, a rail simulation board can be designed, and a track circuit and broken rail monitoring equipment testing platform can be set up, enabling scientific and efficient testing in the laboratory.

关键词： Rails Data models Safety Frequency measurement Temperature control Impedance Ensemble learning Integrated circuit modeling Monitoring Testing

来源：评论

学校读者我要写书评

暂无评论

Sleep Stage Classification Using EEG Signals: A Empirical Wavelet Transform-Based Decomposition Approach

Sleep Stage Classification Using EEG Signals: A Empirical Wa...

引用

international conference on Control, automation, robotics and Vision (ICARCV)

作者： Rajveer Singh Lalawat Varun Bajaj Prabin Kumar Padhy Department of Electronics and Communication Engineering Indian Institute of Information Technology Design and Manufacturing Jabalpur Jabalpur India Department of Electronics and Communication Maulana Azad National Institute of Technology Bhopal Bhopal India

ISBN: (数字)9798331518493

ISBN: (纸本)9798331518509

the objective of signal processing using transformation techniques, is to accurately detect the frequency decomposition and extract small variations within the signals. Previous studies have explored various algorithms aiming to decompose signals and classify sleep stages based on EEG signals, offering valuable insights. However, there is still scope for improvement in handling highly non-stationary signals across all sleep stages. the article proposes employing spectrum partitioning from six sleep phases and the Empirical Wavelet Transform (EWT) to properly decompose extremely non-stationary EEG data. this approach uses an adaptive filter bank to control dynamic data in the frequency domain to accurately distinguish sleep stages. Our experiments demonstrate that, the Support Vector Machines (SVM) classifier outperforms Random Forest (RF) and k-Nearest Neighbors (KNN) classifiers, and it achieves notable classification accuracy for all sleep stages. this method enhances the performance of medical devices and benefits for their use in healthcare.

关键词： Support vector machines Wavelet transforms Sleep Signal processing algorithms Nearest neighbor methods Feature extraction Brain modeling Electroencephalography Data models Classification algorithms

来源：评论

学校读者我要写书评

暂无评论

A LSTM-Based Trajectory Prediction Method For Aerial Target

A LSTM-Based Trajectory Prediction Method For Aerial Target

引用

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

作者： Shuang Peng Songtao Sun Gaopeng Zhao Quanmin Yan School of Automation Nanjing University of Science and Technology Nanjing China Aerospace System Engineering Shanghai Shanghai China

ISBN: (数字)9798331531225

ISBN: (纸本)9798331531232

the dynamic and accurate prediction of the target trajectory about UAVs is the key point of airspace management. For the task of air target trajectory prediction dominated by a variety of UAVs, traditional methods can not deal with conditions such as complex modeling, high computational cost, and poor model reusability. this paper proposes an air target trajectory prediction method based on sliding window Long Short-Term Memory (LSTM). the sliding window method is adopted to segment the target historical trajectory data. the LSTM can memorize historical information and effectively process long time series to predict the trajectory data of air targets at future moments. the prediction error comparison simulation experiment is carried out between the polynomial fitting model method and the method proposed, which proves that the proposed method improves the trajectory prediction accuracy.

关键词： Accuracy Atmospheric modeling Computational modeling Time series analysis Fitting Predictive models Polynomials Explosions Trajectory Long short term memory

来源：评论

学校读者我要写书评

暂无评论

Predictive Metrology Data Reconstruction Using Support Vector Regression

Predictive Metrology Data Reconstruction Using Support Vecto...

引用

international conference on Control, Mechatronics and automation (ICCMA)

作者： Fuyou Li Emmanuel Izuwa Gilbert Tang Phil Webb Tom Mighall Centre for Robotics and Assembly Cranfield University Cranfield UK Wing of Tomorrow Airbus Broughton UK

ISBN: (数字)9798331517519

ISBN: (纸本)9798331517526

In the context of Industry 4.0, manufacturing processes increasingly rely on quality data to achieve precision and efficiency, particularly in high-value sectors such as aerospace. Conventional metrology methods, though precise, often fail to meet the production demands of modern large-scale manufacturing, as they are time-consuming and labor-intensive. Predictive metrology offers a promising solution by reconstructing measurement data using smaller, yet highly representative datasets. In this study, we leverage machine learning techniques such as Support Vector Regression (SVR) on a dataset generated through Finite Element Analysis (FEA). the FEA-based dataset provides a controlled and comprehensive foundation for training and validating machine learning models, enabling accurate predictions of geometric deformations and enhancing the efficiency of metrology processes in aerospace manufacturing. Comparative analysis with Random Forest Regression (RFR) and Neural Networks (NN) shows that SVR outperforms RFR in terms of Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-square (R2) score. this study highlights the potential of SVR to improve efficiency and accuracy in metrology processes.

关键词： Support vector machines Deformable models Training Accuracy Deformation Training data Metrology Predictive models Finite element analysis Optimization

来源：评论

学校读者我要写书评

暂无评论

A New Approach for Spread Spectrum Steganography in Audio Containers

A New Approach for Spread Spectrum Steganography in Audio Co...

引用

international conference on Control Systems, Mathematical Modelling, automation and Energy Efficiency (SUMMA)

作者： Stanimir Zhelezov Krasimir Kordov Atanas Nachev Daniela Pavlova Panayot Gindev Nikolay Litchkov Konstantin Nesterov dept. Computer Science and Technologies Konstantin Preslavsky University of Shumen Shumen Bulgaria dept. Computer Informatics Konstantin Preslavsky University of Shumen Shumen Bulgaria University of Library Studies and Information Technologies Sofia Bulgaria Institute of Robotics at Bulgarian Academy of Sciences Sofia Bulgaria Institute of Metal Science Equipment and Technologies with Center for Hydro- and Aerodynamics Acad. A. Balevski Bulgarian Academy of Sciences Sofia Bulgaria

ISBN: (数字)9798331532178

ISBN: (纸本)9798331532185

the most common approach among researchers is to implement cryptographic techniques and methods to provide a secure and reliable way to transmit sensitive information. this paper proposes a steganographic embedding algorithm based on Circle Map and Modified Rotation Equations. Audio files randomly selected from the Internet are used for the purpose of the study. Messages of different sizes were embedded in them using the proposed steganographic embedding algorithm. the accumulated database of more than 200 containers and stegofiles was analyzed using the most common steganalysis methods. From the analyses, it can be clearly seen that the proposed method of steganographic embedding in audio containers provides a very high level of security in the transmission of hidden information.

关键词： Steganography automation Databases Containers Control systems Mathematical models Generators Energy efficiency Internet Reliability

来源：评论

学校读者我要写书评

暂无评论

A Framework for Implementing Process Mining and Robotic Process automation in Organizations (Extended Abstract) 4

A Framework for Implementing Process Mining and Robotic Proc...

引用

Doctoral Consortium and the Tool Demonstration Track of the 4th international conference on Process Mining, ICPM-D 2022

作者： El-Gharib, Najah Mary School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

Process Mining (PM) is a technique that combines data science and process modeling to discover process models from system execution logs collecting activities and their timestamps, user identifiers, resources, and other parameters. PM is used to understand and improve processes. Robotic Process automation (RPA) is an emerging technology that allows businesses to automate processes with software robots that replicate repetitive human tasks. RPA helps achieve accuracy, consistency, and efficiency in performing processes. Understanding processes is the key to automating them, but organizations often lack a deep understanding of their as-is processes and often rely on guess work to discover their automation opportunities. Using PM as a key enabler in discovering the processes that can be automated and in monitoring improvements is not an easy task and comes with several challenges. the main focus of this doctoral thesis is on introducing a new framework to help integrate the use of PM and RPA in an organization’s context. the framework consists of several components including methods and tools. © 2022 Copyright for this paper by its authors.

关键词： robotics

来源：评论

学校读者我要写书评

暂无评论

Game Design Tools for ML Data Generation in CPS

Game Design Tools for ML Data Generation in CPS

引用

international conference on Autonomous Robots and Agents, ICARA

作者： Maria Krantz Niklas Widulle Oliver Niggemann Institute of Automation Technology Helmut-Schmidt-University Hamburg Germany

the high complexity of Cyber-Physical Systems (CPS) necessitates novel approaches for system analysis, planning, anomaly detection and testing. Machine Learning (ML) methods are promising because of their ability to find underlying relations even in large, complex and conflicting data. While existing CPS produce large data sets, these might not cover the appropriate time frame, or the desired configuration. therefore, the use of ML methods requires the use of simulation tools to generate the necessary data. there are numerous approaches to simulate CPS. However, they often have significant shortcomings regarding their expressiveness in regards to physical properties of system components, their scalability in the face of the ever-increasing complexity of CPS, their usability for simultaneous simulation of different aspects of CPS and interoperability between different simulation environments. Game and media creation tools have seen an impressive development in recent years with regards to their realistic representation of physical systems and simulation capabilities. these are already employed in some engineering challenges like training of algorithms for self-driving cars. they have huge potential for the application in simulation and analysis of CPS. In this work we provide an analysis of the shortcomings of currently used environments for modeling and simulation of CPS with regards to creating data for ML. We then analyze how currently existing limitations can be overcome by employing tools from game and media design, discussing possible use cases and applications of these tools. With this, we present a possible new direction of research which has the potential to improve modeling of CPS, especially with regards to their application for ML.

关键词： Training Analytical models Scalability Games Media Data models Complexity theory

来源：评论

学校读者我要写书评

暂无评论

Research on methods of Vehicle Image Retrieval in Expressway Scenarios Based on Deep Learning Neural Network

Research on Methods of Vehicle Image Retrieval in Expressway...

引用

robotics, Control and automation (ICRCA), international conference on

作者： Ke Yang Ziyi Zhang Chihang Zhao Hao Li Xinyi Ma Xuan Li Wenhao Deng Yanxin Huang Shandong Hi-speed Company Limited Jinan P. R. China School of Transportation Southeast University Nanjing P. R. China

ISBN: (数字)9798350344721

ISBN: (纸本)9798350344738

the vehicle image retrieval in highway scenes is influenced by the complexity and diversity of vehicle types, as well as the impact of lighting and climate changes on vehicle image clarity. the paper aims to achieve high-precision vehicle retrieval in complex scenes on highways. Firstly, the paper constructs a vehicle image retrieval dataset of Southeast University (SEU) including whole vehicle image test set, vehicle face image test set, vehicle window test set, vehicle license plate test set. Secondly, three variants of CNN models are investigated for the vehicle image retrieval in expressway scenarios, including VGG16-VIR-ES, ResNet50-VIR-ES and DenseNet121-VIR-ES. Finally, based on vehicle image retrieval dataset of Southeast University (SEU), the research of compare experiment on VGG16-VIR-ES, ResNet50-VIR-ES and DenseNet121-VIR-ES are carried out. the experimental results show that DenseNet121-VIR-ES outperform the other models, and the accuracy of the vehicle image retrieval method based on DenseNet121 network is 92.12%, 91.55%, 92.86% and 84.98% for the whole vehicle image test set, vehicle image test set, window image test set and license plate image test set, respectively.

关键词： Road transportation Accuracy Image retrieval Neural networks Lighting License plate recognition Robots

来源：评论

学校读者我要写书评

暂无评论

Model-free control Algorithm for PMSM With Improved Adaptive Time-varying Convergence Law and New Observer

Model-free control Algorithm for PMSM With Improved Adaptive...

引用

robotics, Control and automation Engineering (RCAE), international conference on

作者： Jiqiang Wu Jixing Zhao Bingyou Liu Dongxiang Zhang Dept. School of Electrical Engineering Anhui Polytechn University Wuhu Dept. R&D Department Huaneng Chaohu Power Generation Co. Ltd Chaohu Dept. R&D Department Anhui Tianbing Electronic Technology Co. Ltd Wuhu

ISBN: (数字)9798350355642

ISBN: (纸本)9798350355659

In order to improve the response speed and anti-interference ability of the permanent magnet synchronous motor control system, this paper proposes a model-free controller based on improved adaptive exponential convergence law and double power sliding mode observer. Firstly, the sigmoid function is used instead of the sign function to make the control signal smoother and reduce the jitter; secondly, the system state variables are introduced to form an improved adaptive exponential convergence law to enhance the response speed and anti-interference ability; finally, an improved double power sliding mode observer is designed to enhance the anti-interference ability of the system and make the disturbance observation more accurate. Simulation results show that the improved controller reduces the overshoot by 0.46% compared with the traditional method, the adjustment time of speed and torque is shortened by at least 0.01s, the three-phase current recovers the stability faster when the load is added suddenly, and the speed reaches and stabilises at the target value more rapidly when the speed increases suddenly. In summary, the control strategy proposed in this paper achieves fast response, small overshooting, shortened adjustment time, and strong anti-interference ability in static state, effectively weakening the vibration phenomenon.

关键词： Vibrations Adaptation models Adaptive systems Perturbation methods Simulation Velocity control Observers Permanent magnet motors Mathematical models Convergence

来源：评论

学校读者我要写书评

暂无评论

Intelligent Optimization of Laser Marking Parameters Using Neural Networks and Genetic Algorithms

Intelligent Optimization of Laser Marking Parameters Using N...

引用

robotics, automation and Artificial Intelligence (RAAI), IEEE international conference on

作者： Teng Yan Wenxian Li Zhenxi Yu Yuxiang Sun Haoxue Zhuang Xiaohong Zhou College of Applied Technology Shenzhen University Shenzhen China Sino-German College of Intelligent Manufacturing Shenzhen Technology University Shenzhen China College of Big Data and Internet Shenzhen Technology University Shenzhen China School of Science and Engineering The Chinese University of Hong Kong Shenzhen China Faculty of Computer Science and Business Information Systems Technical University of Applied Sciences Würzburg-Schweinfurt Wtirzburg -Schweinfurt Germany

ISBN: (数字)9798331520038

ISBN: (纸本)9798331520045

Laser marking technology is essential in precision manufacturing, but optimizing its numerous parameters is com-plex and time-consuming with traditional methods. this study developed a fully automated laser marking system using the Draco series laser from Han's Laser, incorporating automatic loading and unloading mechanisms. By utilizing neural networks and genetic algorithms, we optimized laser marking on ABS materials. the research included COMSOL simulations of laser-material interactions, analysis of parameter variations on col-oration, temperature field distribution under laser irradiation, and prediction of marking effects for practical applications. the aim is to automate processes through algorithmic integration, providing an intelligent laser marking solution. the developed methodologies and algorithms are applicable to other manufac-turing optimizations, offering valuable insights for broader in-dustrial applications. Primary research focuses include COMSOL simulation and parameter analysis, developing an AI-integrated laser production line with color prediction, and exploring au-tomated laser marking on ABS material using neural networks and genetic algorithms.

关键词： Analytical models Temperature distribution Radiation effects Lasers Neural networks Predictive models Prediction algorithms Optimization Robots Genetic algorithms

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122页 << < 35 36 37 38 39 40 41 42 43 44 > >>

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：