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

2,216 篇 会议
61 册 图书
25 篇 期刊文献

馆藏范围

2,302 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,428 篇 工学
- 887 篇 控制科学与工程
- 708 篇 计算机科学与技术...
- 506 篇 软件工程
- 227 篇 机械工程
- 191 篇 电气工程
- 147 篇 信息与通信工程
- 118 篇 生物医学工程（可授...
- 112 篇 生物工程
- 108 篇 仪器科学与技术
- 83 篇 力学（可授工学、理...
- 77 篇 电子科学与技术（可...
- 61 篇 光学工程
- 57 篇 化学工程与技术
- 50 篇 土木工程
- 46 篇 动力工程及工程热...
- 46 篇 建筑学
- 46 篇 交通运输工程
- 42 篇 材料科学与工程（可...
528 篇 理学
- 257 篇 数学
- 178 篇 物理学
- 124 篇 生物学
- 82 篇 系统科学
- 65 篇 统计学（可授理学、...
- 46 篇 化学
239 篇 管理学
- 175 篇 管理科学与工程(可...
- 81 篇 工商管理
- 78 篇 图书情报与档案管...
64 篇 医学
- 53 篇 临床医学
- 50 篇 基础医学(可授医学...
49 篇 法学
- 42 篇 社会学
28 篇 经济学
24 篇 教育学
20 篇 农学
7 篇 军事学
4 篇 文学
1 篇 艺术学

主题

161 篇 robotics
83 篇 robotics and aut...
81 篇 robots
77 篇 control systems
67 篇 robot sensing sy...
64 篇 automation
59 篇 mobile robots
55 篇 informatics
49 篇 navigation
48 篇 mathematical mod...
47 篇 soft robotics
46 篇 service robots
44 篇 humans
41 篇 automatic contro...
40 篇 artificial intel...
40 篇 robot kinematics
39 篇 cameras
38 篇 manipulators
36 篇 force
36 篇 robot control

机构

37 篇 institutes for r...
32 篇 state key labora...
25 篇 university of ch...
19 篇 shenyang institu...
17 篇 key laboratory o...
16 篇 state key labora...
11 篇 3-30-1 wajiro-hi...
10 篇 university paris...
10 篇 university of an...
10 篇 ford motor compa...
9 篇 automation and c...
9 篇 department of co...
8 篇 state key labora...
8 篇 faculty of elect...
7 篇 department of au...
7 篇 school of electr...
7 篇 graduate school ...
6 篇 chinese academy ...
5 篇 polytechnic inst...
5 篇 college of infor...

作者

12 篇 xhafa fatos
11 篇 barolli leonard
11 篇 song chunhe
10 篇 kurosh madani
9 篇 berns karsten
8 篇 oleg yu gusikhin
7 篇 joaquim filipe
7 篇 spaho evjola
7 篇 thomas strasser
7 篇 gattringer huber...
6 篇 rossi claudio
6 篇 preitl stefan
6 篇 sima vasile
6 篇 zeng peng
6 篇 jean louis ferri...
6 篇 filipe joaquim
6 篇 precup radu-emil
6 篇 kirchner frank
5 篇 alois zoitl
5 篇 lewis frank l.

语言

2,263 篇 英文
25 篇 其他
14 篇 中文

检索条件"任意字段=5th International Conference on Informatics in Control, Automation and Robotics"

共 2302 条记录，以下是91-100 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：

A Review on Image Processing Tecniques for In-Pipe Robots 5th

A Review on Image Processing Tecniques for In-Pipe Robots

引用

5th international conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, ICMISC 2024

作者： Suryawanshi, Shubhangi Chavan, Amol Bhosale, Digvijay G. Mahakal, Shivam Jakate, Govind Kanojiya, Abhay Department of Artificial Intelligence and Data Science Dr. D. Y. Patil Institute of Technology Maharashtra Pune 411 018 India Department of Mechatronics Engineering Rajarambapu Institute of Technology Shivaji University RajaramnagarKolhapur Maharashtra 415 414 India Department of Mechanical Engineering Dr. D. Y. Patil Institute of Technology Maharashtra Pune 411 018 India Department of Automation and Robotics Dr. D. Y Patil Institute of Technology Maharashtra Pune 411 018 India

ISBN: (纸本)9789819788644

Pipelines are vital infrastructure for the transportation of water, sewage, oil, and gas because they offer a better safety option and fit into the minimum environmental hazardous than other modes. But pipelines are aging and getting damaged all the time, which can lead to significant loss of resources and contamination of the environment. Regular maintenance and inspections are necessary for pipelines to operate efficiently and prevent overspending. this paper reviews the core techniques used in each of the four missions—localization, mapping, navigation, and inspection—that these robots have completed. Additionally, because image processing has become a widely used and crucial strategy for completing all of the aforementioned missions, we made the decision to review the thorough classification of techniques for image processing in a separate section. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Image processing In-pipe robot Mapping Navigation Pipe inspection

来源：评论

学校读者我要写书评

暂无评论

Machine Learning for Enhanced Performance and Safety in Autonomous Vehicle Design

Machine Learning for Enhanced Performance and Safety in Auto...

引用

Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： Adarsh Rai Abhinaya Reddy Jannepally Ravikanth Konda Udhayakumar M Srinivas Chippagiri Siva Koteswara Rao Katta Department of Robotics and Artificial Intelligence Nitte (Deemed to be University) NMAM Institute of Technology (NMAMIT) Udupi India Computers and Network Security Edith Cowan University Australia USA Electronics and Communication Engineering K.S.R. College of Engineering Tamilnadu Sr. Member of Technical Staff Bellevue WA USA KIETW

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

the automobile industry has changed through the application of Machine Learning (ML) techniques in the design of autonomous vehicles. Yet, ensuring enhanced performance along with safety is still a prime challenge. the focus of this paper is on solving the concrete problem of improving autonomous vehicle choices by applying machine learning algorithms to process the real-time data generated, enabling predictive maintenance strategies and adaptive safety mechanisms. the study reviews various ML-driven use cases ranging from driving automation to collision avoidance to adaptive cruise control, highlighting how they accomplish increased vehicle efficiency and accident reduction. the final research analysis demonstrate that ML based predictive modeling effectively enhances the fuel efficiency and dynamic vehicle control performance, therefore further improving autonomous vehicle operational reliability and safety.

关键词： Technological innovation Reviews Machine learning Predictive models Real-time systems Safety Reliability Vehicle dynamics Autonomous vehicles Predictive maintenance

来源：评论

学校读者我要写书评

暂无评论

Design and Optimization of an IR-Based automation System with Telegram Bot Integration for Remote Device control

Design and Optimization of an IR-Based Automation System wit...

引用

international conference on robotics,Electrical and Signal Processing Techniques (ICREST)

作者： Adnan Md. Shihab Sharar Oyon Abid Hasan Himel Khaliduzzaman Mredul Abir Ahmed M Tanseer Ali Chowdhury Akram Hossainl Md. Abdur Rahman Dept. of Electrical and Electronic Engineering American International University – Bangladesh (AIUB) Dhaka Bangladesh Dr. Anwarul Abedin Institute of Innovation (D2A2I) American International University – Bangladesh (AIUB) Dhaka Bangladesh Dept. of Computer Engineering American International University – Bangladesh (AIUB) Dhaka Bangladesh

ISBN: (数字)9798331530952

ISBN: (纸本)9798331530969

automation is advancing rapidly, with infrared (IR) communication being a key method for controlling electronic devices. Despite this, challenges remain in optimizing IR controllers for consistent performance across varying angles and task loads. A 3D design and a robust algorithm have been developed to enhance the system's accuracy, while security is ensured by matching a unique TOKEN with the Telegram bot for each session. Error rates were analyzed across different angles, with specific zones determined based on performance. Minimal error rates defined the working zone, while higher rates indicated critical and invalid zones. Error rates increased as the transmitter moved further from the optimal angles, such as a 0–6 % error rate when operating within a 0° - 5° range. Reaction time was calculated across multiple tasks, showing an average of 5 seconds per command. Mismatch rates, observed during higher task loads, rose sharply when handling many tasks. For instance, the mismatch rate was 0 % for 12 tasks but 20 % when executing 20 tasks. Performance evaluations demonstrated optimal IR signal strength for reliable control within a distance of 10 to 15 inches, with diminishing effectiveness beyond 20 inches. these findings provide a foundation for developing more reliable and efficient IR control systems for practical applications.

关键词： Performance evaluation automation three-dimensional displays Error analysis Transmitters Signal processing algorithms Chatbots Reliability Security Optimization

来源：评论

学校读者我要写书评

暂无评论

Human-Robot Pose Tracking Based on CNN with Color and Geometry Aggregation 16th

Human-Robot Pose Tracking Based on CNN with Color and Geo...

引用

16th international conference on Social robotics, ICSR + InnoBiz 2024

作者： Xu, Yue Zhang, Yinlong Liu, Shuai Liu, Yuanhao Liang, Wei He, Hongsheng Shenyang University of Technology Shenyang110020 China Guangzhou Institute of Industrial Intelligence Guangzhou511458 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Department of Computer Science The University of Alabama TuscaloosaAL35487 United States

ISBN: (纸本)9789819611508

Accurately tracking the robotic arm and human joints is crucial to ensure safety during human-robot interaction. However, traditional pose tracking methods often exhibit insufficient performance and robustness in complex environments. the variations in the robotic arm’s environment and posture make it challenging for traditional methods to accurately capture the positions and posture of its joints. Specifically, when addressing challenges such as high similarity, occlusion, background complexity, and joint recognition failures, they often struggle to provide reliable and accurate results. To address these challenges, this paper proposes a human-robot pose tracking algorithm based on a new convolutional neural network model. To enhance detection accuracy, an improved color detection module is introduced to resolve joint misclassification. A geometric perception module is designed to accurately locate joints even under occlusion. Additionally, innovative iEMA and DBB modules are incorporated. the iEMA module employs edge detection technology to dynamically adjust thresholds for correct matching by improving the edge matching process. the DBB module refines the boundary box parameters for precise localization by introducing adaptive bounding box updates in real-time. this algorithm also integrates human pose recognition, enabling real-time pose recognition, thereby facilitating more intelligent and natural human-robot interaction. the algorithm has been rigorously evaluated on a custom-designed robotic arm platform. Experimental results validate the algorithm’s effectiveness and feasibility. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Robotic arms

来源：评论

学校读者我要写书评

暂无评论

Transforming Music: A Review of Artificial Intelligence in Jazz Reharmonization

Transforming Music: A Review of Artificial Intelligence in J...

引用

Advanced Research in Computing (ICARC), international conference on

作者： Sachindu Jayasinghe Kushan Bhareti School of Computing Informatics Institute of Technology Colombo Sri Lanka

ISBN: (数字)9798331530983

ISBN: (纸本)9798331530990

Jazz reharmonization is a complex musical technique that improves harmonic frameworks by inventive chord progressions, augmenting the depth and emotional resonance of pieces. this paper examines the use of artificial intelligence, namely transformer networks, in the automation of jazz reharmonization, ensuring melodic coherence and artistic fidelity. this review compiles current research to highlight essential approaches, including early rule-based systems, neural networks, and advanced transformer models while emphasizing their benefits and limits. Particular emphasis is placed on the difficulties associated with dataset preparation, assessment measures, and the adaptation of AI systems to the intricacies of jazz harmony. the evaluation, via a critical examination of previous studies, identifies areas for enhancement, including real-time applications, multi-modal data integration, and cross-genre adaptation. the insights provided seek to direct future research and position transformers as a revolutionary instrument in computational musicology. this document is an extensive reference for scholars and professionals investigating the convergence of artificial intelligence and jazz music.

关键词： Reviews Computational modeling Instruments Current measurement Music Transformers Harmonic analysis Real-time systems Resonance Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Flexible Target Grasping Strategy of Industrial Robot Based on Eye-in-Hand 3D Machine Vision

Flexible Target Grasping Strategy of Industrial Robot Based ...

引用

robotics and Technologies for Industrial automation (ROBOthIA), IEEE international conference on

作者： Zhang XiaoYang Muhammad Azmi Ayub Fazlina Ahmat Ruslan Shuzlina Abdul-Rahman Sukarnur Che Abdullah College of Engineering UiTM Shah Alam Shah Alam Selangor Malaysia College of Computing Informatics and Media UiTM Shah Alam Shah Alam Selangor Malaysia

ISBN: (数字)9798350356755

ISBN: (纸本)9798350356762

Object grasping is the most common application direction of robots, and machine vision technology is also the most common application of grasping. With the deepening of the research of machine vision technology, the initial application in static target capture has gradually expanded to some moving target tracking and capture. Estimating and predicting the moving state of a target by detecting its position is a common method for obtaining a stable moving target. Once the target motion changes position due to unpredictable interference, the original predicted position will be invalid. therefore, it is necessary to constantly locate and track the target and judge the deviation, so as to constantly approach the new target position and finally achieve the capture. In this paper, we utilize the open-source Robot Operating System (ROS) platform to investigate dynamic grasping strategies based on visual feedback. In this paper, we use ROS, based on UR5 robot arm and RealSense D435i camera, based on the eye-in-hand mode, to study the dynamic grasping strategy based on visual feedback. A visual feedback control strategy based on fixation approximation is designed to enable the grasping of moving targets on a conveyor belt. Finally, it is verified that the machine vision-driven feedback capturing algorithm substantially meets the practical application requirements of engineering, demonstrating high feasibility and accuracy.

关键词： Visualization Target tracking three-dimensional displays Service robots Machine vision Operating systems Robot vision systems Grasping Object detection Industrial robots

来源：评论

学校读者我要写书评

暂无评论

2022 5th international conference on robotics, control and automation Engineering (RCAE 2022)

2022 5th International Conference on Robotics, Control and A...

引用

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

Presents the front cover, title page, cover page, or splash screen of the proceedings record.

ISBN: (数字)9781665459419

ISBN: (纸本)9781665459426

Presents the front cover, title page, cover page, or splash screen of the proceedings record.

关键词：

来源：评论

学校读者我要写书评

暂无评论

On Implementing the Sparse Events Closed-Loop control theory for the CartPoleSimulation 16th

On Implementing the Sparse Events Closed-Loop Control Theor...

引用

16th EAI international conference on Simulation Tools and Techniques, SIMUTools 2024

作者： Díaz-Romero, Santiago Paluch, Marcin Linares-Barranco, Alejandro Rios-Navarro, Antonio Robotics and Technology of Computers Lab. ETSII-EPS I3US SCORE Universidad de Sevilla Seville Spain Institute of NeuroInformatics UZH-ETHZ Zurich Switzerland

ISBN: (纸本)9783031873447

Event-based or neuro-inspired motor control systems communicate information through pulses, instantaneous bursts of electrical current that encode information very efficiently, as occurs in biological organisms. this work proposes a software implementation for sparse events closed-loop neuromorphic motor control theory (SECLOC) in a software tool. the control algorithm has been included in a simulator developed in Python, and publicly available, of a robotic cart controlling an inverted pendulum. the proposed implementations can be easily ported to any FPGA or microcontroller-based board and allow control of the real robotic cart. We have tested and verified the functionality using the algorithm to generate control events for proportional-integral-derivative (PID) and linear-quadratic-regulator (LQR) controllers and obtained the parameters equivalent to the proportionality, integrative, and derivative constants for these pulsing controllers. the empirical results demonstrate the validity of both the theory in simulation and its test in an actual robot in the pulsed domain. In the simulation, for angle control using a PID, with a minimum reaction time of 1 ms from the controller, the pendulum remains in equilibrium along the cart pole travel for more than 5 min, registering the 0-degree passage more than 2800 times. For the real pendulum used, the LQR controller, and the optimal control constants, with a minimum reaction time of 6 ms of the controller, the pendulum remains in equilibrium along the carriage path, as well as under slight and moderate perturbations without dropping during all experiments performed over a simulated period of almost 3.5 days. © ICST Institute for Computer Sciences, Social informatics and Telecommunications Engineering 2025.

关键词： Two term control systems

来源：评论

学校读者我要写书评

暂无评论

the Novel DeepBoost Multi Output Regressor for Household Finance Intelligence

The Novel DeepBoost Multi Output Regressor for Household Fin...

引用

Advanced Research in Computing (ICARC), international conference on

作者： S. H. S. V. Suwandaratna G. O. Priyankara Department of Computer Science and Engineering Informatics Institute of Technology Colombo Sri Lanka

ISBN: (数字)9798331530983

ISBN: (纸本)9798331530990

this paper forecasts the microeconomic level household expenditures using a novel hybrid deep learning approach. In terms of research significance, household finance control has a major influence on the finance system within the economy. Accurate forecasting of household finances assists in maintaining positive financial behavior among individuals and the economy. the DeepBoost multi-output regressor proposed in this paper is based on the 1D CNN-ANN and the XGBoost. the proposed model in this paper is compared with the R 2 , MSE, and MAE since it’s a regression problem. the experimental results reveal that the proposed DeepBoost multi-output regressor has the best application in forecasting the multiple expenditures of households by outperforming the ANN, 1D CNN-ANN, and Random Forest Regressor models. the proposed DeepBoost multi-output regressor evaluated the housing, food, transportation, healthcare, other necessities, childcare, and tax expenditures that had 0.94, 0.98, 0.83, 0.94, 0.97, 0.97, and 0.99 values for the R 2 , 9037.71, 2692.12, 9788, 15077.33, 1373.93, 13629.36, and 1904.52 values for the MSE, and 66.07, 34.05, 73.17, 87.05, 26.25, 78.74, and 29.47 MAE values than the ANN, RFR, and 1D CNN-ANN models.

关键词： Deep learning Pediatrics Computational modeling Finance Transportation Medical services Predictive models Microeconomics Forecasting Random forests

来源：评论

学校读者我要写书评

暂无评论

Electric Vehicle Charging Demand Prediction using Multiresolution Sinusoidal Neural Network Optimized with Addax Optimization

Electric Vehicle Charging Demand Prediction using Multiresol...

引用

Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： Rajesh Munirathnam Rohit P. Jadhav Nilesh M. Mahajan Amit Barve M. E. Shashi Kumar Natrayan L Data & Analytics Division TechnoGen Inc Hillsborough New Jersey USA Department of Robotics and Automation D.Y. Patil College of Engineering Akurdi Pune Maharashtra Department of Computer Science and Engineering Parul Institute of Technology Faculty of Engineering and Technology Parul University Limda Gujarat Department of Mechanical Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru Karnataka Department of Mechanical Engineering Saveetha School of Engineering SIMATS Chennai Tamil Nadu

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

Electric Vehicle (EV) charging demand prediction, while essential for optimizing charging infrastructure and energy management, faces challenges such as data inaccuracies and uncertainties in user behavior patterns. these issues define inaccurate demand forecasts which cause the wrong placement of charging stations and distribution of energy. Also, as the pattern of the EV charging is not static may change due to many factors such as climate, time of day, price preference among others, the prediction models may not handle the dynamism and hence lower the reliability of the forecast results. To overcome these drawbacks, this manuscript proposes an efficient approach for EV charging demand prediction. the data is gathered from a dataset on EV charging. the data is then sent to pre-processing. Using the Maximum Correntropy Quaternion Kalman Filter (MCQKF), the pre-processing section eliminates missing values and normalizes the input. To forecast EV charging demand, the Multiresolution Sinusoidal Neural Network (MSNN) receives the results of the pre-processing data. MSNN’s weight parameter is optimized using Addax Optimization (AO). the proposed MSNN-AO is utilized within the MATLAB platform. the proposed MSNN-AO technique is compared with the existing techniques such as Long Short-Term Memory Neural Network (LSTMNN), Heterogeneous Spatial-Temporal Graph Convolutional Network (HSTGNN) and Artificial Neural Networks (ANN), respectively. the MSNN-AO method achieves an accuracy of 97%, precision of 95%, and a Root Mean Square Error (RMSE) of 2.2%, demonstrating its superior performance in predicting EV charging demand. this highlights the proposed method’s effectiveness in minimizing prediction errors, reducing RMSE by 22.36%, and improving precision by 14.89% compared to existing methods. the MSNN-AO method’s higher accuracy and precision, coupled with its robust performance, make it a reliable and efficient solution for EV charging demand forecasting.

关键词： Accuracy Uncertainty Quaternions Energy resolution Electric vehicle charging Reliability Kalman filters Spatial resolution Root mean square Optimization

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231页 << < 6 7 8 9 10 11 12 13 14 15 > >>

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：