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

3,618 篇 会议
1,326 篇 期刊文献
4 册 图书

馆藏范围

4,948 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,951 篇 工学
- 1,225 篇 计算机科学与技术...
- 1,199 篇 控制科学与工程
- 1,044 篇 软件工程
- 809 篇 机械工程
- 449 篇 仪器科学与技术
- 320 篇 电气工程
- 313 篇 信息与通信工程
- 261 篇 生物工程
- 254 篇 光学工程
- 249 篇 力学（可授工学、理...
- 246 篇 生物医学工程（可授...
- 233 篇 电子科学与技术（可...
- 164 篇 化学工程与技术
- 154 篇 材料科学与工程（可...
- 147 篇 船舶与海洋工程
- 142 篇 土木工程
- 130 篇 航空宇航科学与技...
- 105 篇 建筑学
- 103 篇 交通运输工程
- 93 篇 动力工程及工程热...
1,429 篇 理学
- 630 篇 数学
- 583 篇 物理学
- 287 篇 生物学
- 188 篇 系统科学
- 142 篇 化学
- 142 篇 统计学（可授理学、...
488 篇 管理学
- 399 篇 管理科学与工程(可...
- 108 篇 图书情报与档案管...
183 篇 医学
- 158 篇 临床医学
- 108 篇 基础医学(可授医学...
45 篇 农学
34 篇 经济学
32 篇 法学
16 篇 教育学
14 篇 军事学
11 篇 艺术学
4 篇 文学
1 篇 哲学

主题

324 篇 robotics and aut...
227 篇 mobile robots
224 篇 robots
189 篇 control systems
168 篇 robot sensing sy...
160 篇 laboratories
125 篇 manipulators
125 篇 kinematics
120 篇 robot kinematics
117 篇 cameras
106 篇 feature extracti...
103 篇 force
98 篇 mathematical mod...
89 篇 trajectory
80 篇 automation
80 篇 automatic contro...
78 篇 service robots
77 篇 motion control
73 篇 intelligent robo...
73 篇 navigation

机构

1,091 篇 state key labora...
753 篇 university of ch...
719 篇 institutes for r...
245 篇 shenyang institu...
178 篇 key laboratory o...
94 篇 state key labora...
88 篇 school of artifi...
84 篇 shenyang institu...
81 篇 state key labora...
78 篇 shanghai key lab...
77 篇 robotics laborat...
75 篇 state key labora...
74 篇 chinese academy ...
71 篇 graduate school ...
67 篇 graduate school ...
64 篇 state key labora...
62 篇 school of mechat...
61 篇 state key labora...
56 篇 key laboratory o...
51 篇 robotics laborat...

作者

150 篇 yuechao wang
106 篇 jianda han
101 篇 shugen ma
94 篇 wang yuechao
93 篇 bin li
90 篇 lianqing liu
75 篇 liu lianqing
69 篇 xingang zhao
69 篇 ning xi
65 篇 li bin
65 篇 a.a. goldenberg
60 篇 yuqing he
58 篇 dong zaili
54 篇 han jianda
50 篇 zaili dong
48 篇 ma shugen
47 篇 xi ning
47 篇 hongguang wang
47 篇 he yuqing
46 篇 tang yandong

语言

4,625 篇 英文
183 篇 其他
141 篇 中文

检索条件"机构=The Robotics and Automation Laboratory"

共 4948 条记录，以下是81-90 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 Structural Topology Optimization Based on SIMP-BESO Coupling Algorithm 1

引用

13th International Workshop of Advanced Manufacturing and automation, IWAMA 2023

作者： Zhou, Chuanhong Sun, Yi Tan, Youquan School of Automation and Mechanical Engineering Shanghai University Shanghai200072 China Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai200072 China

ISBN: (数字)9789819706655

ISBN: (纸本)9789819706648

Structure topology optimization technology plays an increasingly important role in mechanical engineering, as it allows high quality structures to be obtained while meeting the demands for lightweight structures. Using topology optimization makes it possible to distribute the material in a given area appropriately to minimize the weight of the structure while meeting the performance requirements. And it reduces the structural design cycle and gives engineers more structural options. This paper takes the SIMP algorithm as the object of study and proposes a SIMP-BESO coupling algorithm for solving the grayscale problem in the algorithm. This algorithm is based on the concept of the termination factor for SIMP, linking the optimization process to the number of iterations. Dynamic movement factor makes the iterative process "fast then slow" to achieve the phenomenon of removing the grayscale elements in structure, and structures with smaller flexibility and larger stiffness can be obtained. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Shape optimization

来源：评论

学校读者我要写书评

暂无评论

An Improved Plant Disease Detection Method Based on YOLOv5 15

An Improved Plant Disease Detection Method Based on YOLOv5

引用

15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023

作者： Cai, Hongxia Jiang, Jiaying School of Mechatronic Engineering and Automation Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai University Shanghai China

ISBN: (纸本)9798350326178

To overcome the challenges of weak generalization, high false detections, and missed targets in multi-scale plant disease detection under complex scenarios, this paper proposes an enhanced method based on YOLOv5. The method improves YOLOv5 by incorporating a multi-scale feature fusion module, an attention mechanism, and optimizing the loss function to accurately locate and classify plant disease targets. Experimental results show significant improvements over the original YOLOv5 model in terms of mAP, precision, and recall, with enhancements of 3.99%, 1.56%, and 1.27% respectively. Additionally, the proposed method outperforms other commonly used models. This study provides an efficient and accurate approach for plant disease detection, enabling real-time monitoring of plant health and precise disease control in plant factories. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Cervical lesion segmentation via transformer-based network 5

Cervical lesion segmentation via transformer-based network

引用

5th International Conference on Computer Vision, Image and Deep Learning, CVIDL 2024

作者： Shen, Nanyan Lu, Wei Gao, Huayu Li, Jing Shanghai University Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai China Shanghai University School of Mechatronic Engineering and Automation Shanghai China

ISBN: (纸本)9798350373820

Colposcopic diagnosis and directed biopsy is the foundation of cervical cancer screening. Automatic segmentation of cervical lesion in colposcopic images can provide great assistance and convenience. However, the existing methods based on CNNs only differentiate the abnormality from healthy tissue, which is hard to further subdivide the lesion. In this paper, a Transformer-based network called TransNet is proposed which can extract the cervical lesion and recognize the corresponding category of each lesion. Unlike the other CNN-based methods, a more powerful vision transformer is adopted as the encoder. Extensive experiments on a large clinical colposcopic image dataset show that TransNet outperforms the existing state-of-art methods and achieves great improvement. © 2024 IEEE.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Resistive Micro/Nano Flexible Sensitive Sensing Based on Silver Nanowires and Polydimethylsiloxane Layering 9

Resistive Micro/Nano Flexible Sensitive Sensing Based on Sil...

引用

9th International Conference on Mechanical Engineering, Materials, and automation Technology, MMEAT 2023

作者： Sun, Weiming Liu, Mei Shanghai Key Laboratory of Intelligent Manufacturing and Robotics School of Mechatronic Engineering Automation Shanghai University 200444 China

ISBN: (纸本)9781510668584

A flexible sensor refers to a type of sensor that possesses the ability to be bent and stretched. Typically composed of soft materials, these sensors demonstrate high deformability and adaptability. They are capable of conforming to complex shapes and surfaces, enabling the measurement of various physical quantities. The application prospects of flexible sensors are vast, encompassing fields such as biomedical sensing, health monitoring, virtual reality, and intelligent wearable devices. Micro and nano flexible sensors are commonly fabricated using techniques like inkjet printing or screen printing. However, these methods often necessitate the incorporation of sensitive materials into viscous substances, resulting in reduced sensor sensitivity. In order to concurrently meet the requirements for conductivity and structural integrity of the sensor's sensitive materials, a novel micro/nano flexible sensor was developed employing silver nanowires (AgNWs) and polydimethylsiloxane (PDMS). By selectively filtering silver nanowires, sensitive films are formed, and the structure of the sensitive materials is achieved by patterning the PDMS substrate. This approach effectively mitigates lateral effects while ensuring sensor sensitivity. The sensor exhibits the capability to detect deformations ranging from 0~5%, with a minimum resolution of 0.1N for pressure detection. Additionally, it displays unidirectional strain sensitivity and possesses self-recovery characteristics. © 2023 SPIE.

关键词： Polydimethylsiloxane

来源：评论

学校读者我要写书评

暂无评论

A Multi-Class Imbalanced Learning Method Using Random Balanced Sampling for Predicting the Quality Level of Diesel Engines

A Multi-Class Imbalanced Learning Method Using Random Balanc...

引用

2024 International Conference on automation in Manufacturing, Transportation and Logistics, ICaMaL 2024

作者： Song, Yi-Tian Sun, Yan-Ning Zhu, Jia-Yang Liu, Li-Lan Gao, Zeng-Gui Zhang, Jia-Hao School of Mechatronic Engineering and Automation Shanghai University Shanghai China Shanghai University Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai China

ISBN: (纸本)9798350378658

Numerous process items and procedures in the assembly process of a diesel engine have a direct and significant impact on its performance, and accurate and effective assembly process control is a key technical bottleneck in improving the quality consistency of batch-produced diesel engines. Accurate prediction of assembly quality can provide support for online control of assembly quality. However, due to the significant class imbalance between qualified and unqualified products of diesel engine assembly quality, the traditional imbalance learning makes it difficult to capture the small changes between classes. Therefore, an improved random balance sampling method is proposed, combined with the LightGBM classifier to create a quality prediction model. Firstly, class balancing of the training dataset is achieved by generating random weights for each class and fusing oversampling and undersampling. Then, a LightGBM-based quality prediction model is built. Finally, the effectiveness of this approach is validated using real industrial diesel engine assembly data. The comparison results demonstrate that the proposed method outperforms traditional resampling techniques. This study provides an accurate quality prediction model, laying the groundwork for the assembly quality control model of diesel engines. © 2024 IEEE.

关键词： Diesel engines

来源：评论

学校读者我要写书评

暂无评论

Modeling analysis and simulation of robot active cable 2

Modeling analysis and simulation of robot active cable

引用

2nd IEEE International Conference on Electrical, automation and Computer Engineering, ICEACE 2024

作者： Chen, Peng Liu, Yuwang Deng, Zhaoyan Ding, Qing Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang China University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350368208

Aiming at the difficulties in verifying the wiring results in the robot wiring design process and the difficulty in predicting the cable shape during the robot motion, a method for modeling physical properties of movable cables has been proposed based on the Kirchhoff elastic rod theory. Taking the Chebyshev polynomial zero as the discrete node, the differential quadrature method was used to discretize the established model, and the constraint equation was added to deal with the boundary conditions, and the original equation was transformed into a nonlinear system of equations. Based on the idea of nonlinear least squares and trust region strategy, a new optimization algorithm was proposed to solve the discrete equations. The calculation results show that, compared with other algorithms, this algorithm has higher calculation efficiency and calculation accuracy. © 2024 IEEE.

关键词： Machine design

来源：评论

学校读者我要写书评

暂无评论

Cooperative Path Planning of Multi-UUVs Area Coverage Based on Beetle Swarm Optimization 3rd

Cooperative Path Planning of Multi-UUVs Area Coverage Based...

引用

3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Zhang, Maohuai Yang, Meimei Qiu, Shaoxiong Xu, Hongli Gu, Haitao Northeastern University Shenyang110819 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China

ISBN: (纸本)9789819710829

Multiple underwater unmanned vehicles(Multi-UUVs) area coverage collaborative path planning faces the problems of low collaborative control efficiency and frequent obstacle avoidance. To address these issues, we firstly decompose the map into several sub-regions based on the Boustrophedon algorithm, in which several suitable initial points and termination points can be selected for collaborative path planning, and connects multiple sub-regions effectively to realize area coverage. Secondly, we design the Beetle Swarm Optimization(BSO) algorithm to achieve cooperative path planning from initial point to termination point, while using the Artificial Potential Field(APF) method to achieve local obstacle avoidance. Finally the simulation results show that compared with the system unoptimized, the obstacle avoidance times of the system based on BSO are reduced by 38%, and the energy consumption is reduced by 3.15%. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

Utilizing the Entropy Weighting Method to Determine Objective Weights in Robot Trajectory Optimization 6

Utilizing the Entropy Weighting Method to Determine Objectiv...

引用

6th International Conference on Communications, Information System and Computer Engineering, CISCE 2024

作者： Shen, Nanyan You, Hua Li, Jing Qian, Hui School of Mechatronic Engineering and Automation Shanghai University Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai China SHANGHAI-FANUC Robotics CO.LTD General Manager's Office Shanghai China

ISBN: (纸本)9798350353174

Optimizing trajectories of collaborative robots is crucial to ensure the efficiency and safety of human-robot interactions in many manufacturing industries. This paper introduced an entropy weighting-based method for determining objective weights in trajectory optimization. Virtual simulations were conducted obtaining datasets of robot trajectory optimization so that, the application scope of the proposed weight determination method could be expanded. The validity of this method was affirmed through comparative simulation experiments. The results demonstrated that in maneuvers in the negative z-axis direction, optimized weights significantly outperformed baseline weights in terms of energy consumption and nominal trajectory tracking, with scores of 0.97 versus 0.68, and 0.82 versus 0.54, respectively. This indicates a better performance than subjective weight setting method in enhancing the performance of collaborative robot trajectory optimization. © 2024 IEEE.

关键词： Trajectories

来源：评论

学校读者我要写书评

暂无评论

Offline Deep Reinforcement Learning Two-stage Optimization Framework Applied to Recommendation Systems 43

Offline Deep Reinforcement Learning Two-stage Optimization F...

引用

43rd Chinese Control Conference, CCC 2024

作者： Jiang, Yihua Liu, Qi Li, Yanjie the Harbin Institute of Technology Shenzhen Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics School of Mechanical Engineering and Automation 518055 China

ISBN: (纸本)9789887581581

Most traditional recommendation systems (RS) improve the model structure to obtain valid user behavior representation and make better recommendations. However, limited by the scale of the model, the model cannot accommodate an extended range of user historical data and cannot effectively extract long-term preferences. Reinforcement learning (RL) aims to maximize the cumulative return. Introducing RL can smoothly solve the long-term and short-term profit balance. However, there are specific problems with the direct combination of the two. Training RS that relies on offline user data will cause the strategy to suffer from an overestimation of action and distribution shift. Unlike the traditional RL environment, the ample space of the RS will also cause problems of insufficient exploration and sparse rewards, making the policy more difficult to learn. In response to the above issues, this work proposes an offline RL two-stage optimization framework. The framework consists of an offline RL method based on unknown behavior to alleviate the problem of action overestimation and a two-stage feature optimization training method to reduce the impact of large spaces. Experimental results prove that the method proposed in this article can effectively improve the long-term recommendation ability of the model and more effectively improve the model performance than the general offline RL algorithm. © 2024 Technical Committee on Control Theory, Chinese Association of automation.

关键词： Deep reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Model-Free Feedback Control of a Hybrid-driven Soft Manipulator 30

Model-Free Feedback Control of a Hybrid-driven Soft Manipula...

引用

30th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2024

作者： Fu, Xin Zhang, Daohui Li, Kai Chu, Yaqi Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang China University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350391916

Soft robots offer high compliance and flexibility, enhancing their human and environmental interaction capabilities. However, complex modeling and control hinder the adoption of soft robots. This paper presents a novel model-free control approach for a hybrid-driven soft manipulator. It utilizes a model-free control method to estimate the Jacobian matrix in real time via end position feedback of the soft manipulator. To mitigate operational noise, Huber's M-estimation technique is incorporated. Furthermore, an inner and outer loop motion controller is designed to effectively govern the soft manipulator and accelerate the pneumatic drive's response within the hybrid drive system. The proposed control approach is demonstrated through experiments. The results substantiate its capability to withstand external disturbances and environmental noise, enabling efficient soft manipulator control. © 2024 IEEE.

关键词： Jacobian matrices

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495页 << < 5 6 7 8 9 10 11 12 13 14 > >>

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：